| [ | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "30. The method of claim 27, wherein the precursor material has an average particle size (D50) in the range from 7-13 microns.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 7-13 microns", | |
| "unit": "microns", | |
| "measured_entity": "the precursor material", | |
| "measured_property": "average particle size (D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CA2806915A1_30", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "31. The method of claim 16, wherein the precursor material has a tap density in the range from 0.8-2.8 g/cm3.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 0.8-2.8 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "the precursor material", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CA2806915A1_31", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "33. The method of claim 16, wherein the precursor material has a surface area in the range from 2-20 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 2-20 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "the precursor material", | |
| "measured_property": "surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CA2806915A1_33", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "9. The precursor material of claim 1, wherein the precursor material has a tap density in the range from 0.8-2.8 g/cm3.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 0.8-2.8 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "the precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CA2806915A1_9", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "10. Precursor material according to claim 9, wherein the precursor material has a tap density of 1.8-2.3 g/cm3range.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.8-2.3 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_10", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "11. Precursor material according to claim 1, wherein the precursor material in the surface area of 2-20m2/g range.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "2-20m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "precursor", | |
| "measured_property": "surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_11", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "12. Precursor material according to claim 11, wherein the precursor material in the surface area of 2-8m2/g range.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "2-8m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "precursor", | |
| "measured_property": "surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_12", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "13. Precursor material according to claim 1, wherein the precursor materials within the sodium level is less than 500 ppm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "500 ppm", | |
| "unit": null, | |
| "measured_entity": "precursor", | |
| "measured_property": "sodium level" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_13", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "14. Precursor material according to claim 13, wherein the precursor materials within the sodium level is less than 300 ppm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "300 ppm", | |
| "unit": "ppm", | |
| "measured_entity": "precursor", | |
| "measured_property": "sodium level" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_14", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "21. Method according to claim 16, wherein the alkaline hydroxide pH of the solution was maintained at about 11-13 within a range.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "about 11-13 within a range", | |
| "unit": null, | |
| "measured_entity": "pH", | |
| "measured_property": null | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_21", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "28. Method according to claim 16, wherein in the reactor at about 50-70 \u00b0C performed at a temperature in the range of co-precipitation.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "50-70 \u00b0C", | |
| "unit": "\u00b0C", | |
| "measured_entity": "in the reactor", | |
| "measured_property": "temperature" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_28", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "29. Method according to claim 16, wherein the precursor material has an average particle diameter (D50) in the 3-30 microns.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "3-30 microns", | |
| "unit": "microns", | |
| "measured_entity": "precursor", | |
| "measured_property": "average particle diameter (D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_29", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "30. Method according to claim 27, wherein the precursor material has an average particle diameter (D50) at 7-13 microns.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "7-13 microns", | |
| "unit": "microns", | |
| "measured_entity": "precursor", | |
| "measured_property": "average particle diameter (D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_30", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "31. Method according to claim 16, wherein the precursor material has a tap density is 0.8-2.8 g/cm3range.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "0.8-2.8 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_31", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "32. Method according to claim 31, wherein the precursor material has a tap density of 1.8-2.3 g/cm3range.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.8-2.3 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_32", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "33. Method according to claim 16, wherein the precursor material in the surface area of 2-20m2/g range.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "2-20m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "precursor", | |
| "measured_property": "surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_33", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "34. Method according to claim 33, wherein the precursor material in the surface area of 2-8m2/g range.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "2-8m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "precursor", | |
| "measured_property": "surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_34", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "35. Method according to claim 16, wherein the precursor materials within the sodium level is less than 500 ppm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "less than 500 ppm", | |
| "unit": "ppm", | |
| "measured_entity": "precursor", | |
| "measured_property": "sodium level" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_35", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "36. Method according to claim 35, wherein the precursor materials within the sodium level is less than 300 ppm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "less than 300 ppm", | |
| "unit": "ppm", | |
| "measured_entity": "precursor", | |
| "measured_property": "sodium level" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_36", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "7. Precursor material according to claim 1, wherein the precursor material has an average particle diameter (D50) in the 3-30 microns.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "3-30 microns", | |
| "unit": "microns", | |
| "measured_entity": "precursor", | |
| "measured_property": "average particle diameter (D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_7", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "8. Precursor material according to claim 7, wherein the precursor material has an average particle diameter (D50) at 7-13 microns.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "7-13 microns", | |
| "unit": "microns", | |
| "measured_entity": "precursor", | |
| "measured_property": "average particle diameter (D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_8", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "9. Precursor material according to claim 1, wherein the precursor material has a tap density is 0.8-2.8 g/cm3range.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "0.8-2.8 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN103108833A_9", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "4. 1 according to claim-any one of claims 3 Li-Ni composite oxide particles, characterized in:\nAn average particle diameter 1-20 \u00b5m, a specific surface area BET 0.1-1.6 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1-20 \u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "Li-Ni composite oxide particles", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "0.1-1.6 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "Li-Ni composite oxide particles", | |
| "measured_property": "specific surface area BET" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN104704659A_4", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. Claim 1-4 of, any one Li-Ni producing composite oxide particles, characterized in:\nWith powder of a lithium compound Ni-Co hydroxide particles mixed powder, firing the obtained mixture,\nNi-Co hydroxide particles obtained by powder, aqueous solution comprising a metal sulfate, aqueous ammonia and aqueous sodium hydroxide mixed, controls such that the reaction tank ammonia concentration is 1.4 mol/L or less, and the (ammonia concentration of the reaction vessel)/(concentration of remaining reaction tank hvdroxide) of 6 or more, obtaining Ni-Co hydroxide.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.4 mol/L", | |
| "unit": "mol/L", | |
| "measured_entity": "controls such that the reaction tank", | |
| "measured_property": "ammonia concentration" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN104704659A_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. Claim 1-4 of, any one Li-Ni producing composite oxide particles, characterized in:\nA powder of a lithium compound, Ni-Co hydroxide particle powder, aluminum powder and/or zirconium compound mixing powder of the compound, firing the obtained mixture,\nNi-Co hydroxide particles obtained by powder, aqueous solution comprising a metal sulfate, aqueous ammonia and aqueous sodium hydroxide mixture, ammonia concentration is 1.4 mol/L so that the reaction tank is controlled below, and the (ammonia concentration of the reaction vessel)/(concentration of the reaction vessel remaining hvdroxide) of 6 or more, obtaining Ni-Co hydroxide.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.4 mol/L", | |
| "unit": "mol/L", | |
| "measured_entity": "reaction tank", | |
| "measured_property": "ammonia concentration" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN104704659A_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "8. The lithium transition metal oxide according to claim 1, wherein the average particle diameter D50 of the transition metal precursor is 1 \u03bcm to 30 \u03bcm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 \u03bcm to 30 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "transition metal precursor", | |
| "measured_property": "average particle diameter D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN104884390B_8", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "1. A method for producing transition metal composite hydroxide particles serving as a precursor of a positive electrode active material for a nonaqueous electrolyte secondary battery by a crystallization reaction, comprising:\na nucleus-forming step of controlling an aqueous solution for nucleus formation containing at least a transition metal-containing metal compound and an ammonium ion donor so that the aqueous solution for nucleus formation has a pH of 12.0 to 14.0 at a liquid temperature of 25 \u2103 and forming nuclei,\na particle growth step of controlling the aqueous solution for particle growth containing the nuclei obtained in the nucleus production step so that the pH of the aqueous solution for particle growth becomes lower than that in the nucleus production step at a liquid temperature of 25 \u2103 and 10.5 to 12.0 to grow the nuclei,\nthe reaction environment in the initial stage of the nucleus generation step and the particle growth step is a non-oxidizing environment having an oxygen concentration of 5 vol% or less, and the reaction environment is switched from the non-oxidizing environment to an oxidizing environment having an oxygen concentration of more than 5 vol% and then from the oxidizing environment to a non-oxidizing environment having an oxygen concentration of 5 vol% or less by performing environmental control at least once in the particle growth step.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "12.0 to 14.0", | |
| "unit": null, | |
| "measured_entity": "aqueous solution for nucleus formation", | |
| "measured_property": "pH" | |
| }, | |
| { | |
| "quantity": "25 \u2103", | |
| "unit": "\u2103", | |
| "measured_entity": "aqueous solution for nucleus formation", | |
| "measured_property": "liquid temperature" | |
| }, | |
| { | |
| "quantity": "25 \u2103", | |
| "unit": null, | |
| "measured_entity": "particle growth", | |
| "measured_property": "liquid temperature" | |
| }, | |
| { | |
| "quantity": "10.5 to 12.0", | |
| "unit": null, | |
| "measured_entity": "particle growth", | |
| "measured_property": "pH" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105122517A_1", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "16. A positive electrode active material for nonaqueous electrolyte secondary battery, wherein,\nthe positive electrode active material for a nonaqueous electrolyte secondary battery is composed of secondary particles formed by aggregating a plurality of primary particles,\nthe secondary particles have a central portion of a hollow structure or a hollow structure, and have at least a space portion where the primary particles are not present and a shell portion electrically connected to the central portion outside the central portion,\nthe secondary particles have an average particle diameter of 1 to 15 [ mu ] m, and the [ (d90-d 10)/average particle diameter ] as an index indicating the width of the particle size distribution is 0.7 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 to 15 [ mu", | |
| "unit": "mu", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "0.7 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "the particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105122517A_16", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "19. The positive electrode active material for a nonaqueous electrolyte secondary battery according to any one of claims 16 to 18, wherein the specific surface area is 0.7m2/g\uff5e3.0m2/g\u3002", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "0.7m2/g\uff5e3.0m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105122517A_19", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "7. Transition metal composite hydroxide particles which are precursors of positive electrode active materials for nonaqueous electrolyte secondary batteries, wherein,\nthe transition metal composite hydroxide particles are composed of a plurality of plate-like primary particles and secondary particles formed by aggregating fine primary particles smaller than the plate-like primary particles,\nthe secondary particles have a central portion formed by the aggregation of the plate-like primary particles, and have at least one layered structure formed by the lamination of a low-density portion formed by the aggregation of the fine primary particles and a high-density portion formed by the aggregation of the plate-like primary particles outside the central portion,\nthe secondary particles have an average particle diameter of 1 to 15 [ mu ] m, and the [ (d90-d 10)/average particle diameter ] as an index indicating the width of the particle size distribution is 0.65 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 to 15 [ mu", | |
| "unit": "mu", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "0.65 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105122517A_7", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "1. Transition metal composite hydroxide particles which are precursors of positive electrode active materials for nonaqueous electrolyte secondary batteries, wherein,\nthe transition metal composite hydroxide particles are composed of a plurality of plate-like primary particles and secondary particles formed by aggregating fine primary particles smaller than the plate-like primary particles,\nthe secondary particles have a central portion formed by the aggregation of the plate-like primary particles, and have a layered structure formed by the lamination of a low-density portion formed by the aggregation of the fine primary particles and a high-density portion formed by the aggregation of the plate-like primary particles outside the central portion,\nthe average value of the ratio of the outer diameter of the central portion to the particle diameter of the secondary particles is 30 to 80%, and the average value of the ratio of the thickness of the high-density portion in the diameter direction to the particle diameter of the secondary particles is 5 to 25%,\nthe secondary particles have an average particle diameter of 1 to 15 [ mu ] m, and the [ (d90-d 10)/average particle diameter ] as an index indicating the width of the particle size distribution is 0.65 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 to 15 [ mu", | |
| "unit": "mu", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "0.65 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105122517B_1", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "11. A method for producing transition metal composite hydroxide particles serving as a precursor of a positive electrode active material for a nonaqueous electrolyte secondary battery by a crystallization reaction, the method comprising:\na nucleus-forming step of controlling an aqueous solution for nucleus formation containing at least a transition metal-containing metal compound and an ammonium ion donor so that the aqueous solution for nucleus formation has a pH of 12.0 to 14.0 at a liquid temperature of 25 \u2103 and forming nuclei,\na particle growth step of controlling the aqueous solution for particle growth containing the nuclei obtained in the nucleus production step so that the pH of the aqueous solution for particle growth becomes lower than that in the nucleus production step at a liquid temperature of 25 \u2103 and 10.5 to 12.0 to grow the nuclei,\nand the reaction environment at the initial stage of the nucleus generation step and the particle growth step is a non-oxidizing environment having an oxygen concentration of 5% by volume or less,\nin the particle growth step, the environmental control is performed 2 or more times, and the environmental control is performed by: the reaction environment is switched from the non-oxidizing environment to an oxidizing environment in which the oxygen concentration exceeds 5% by volume, and then from the oxidizing environment to a non-oxidizing environment in which the oxygen concentration is 5% by volume or less,\nthe total crystal reaction time in the oxidizing environment in the particle growth step is 3% to 30% of the total time in the particle growth step, and the crystal reaction time in each oxidizing environment is 1% or more of the total time in the particle growth step.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "12.0 to 14.0", | |
| "unit": null, | |
| "measured_entity": "aqueous solution for nucleus formation", | |
| "measured_property": "pH" | |
| }, | |
| { | |
| "quantity": "25 \u2103", | |
| "unit": "\u2103", | |
| "measured_entity": "aqueous solution for nucleus formation", | |
| "measured_property": "liquid temperature" | |
| }, | |
| { | |
| "quantity": "25 \u2103", | |
| "unit": "\u2103", | |
| "measured_entity": "the aqueous solution for particle growth", | |
| "measured_property": "liquid temperature" | |
| }, | |
| { | |
| "quantity": "10.5 to 12.0", | |
| "unit": null, | |
| "measured_entity": "the aqueous solution for particle growth", | |
| "measured_property": "pH" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105122517B_11", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "19. A positive electrode active material for a nonaqueous electrolyte secondary battery, which is represented by the general formula (B): li1+uNixMnyCozMtO2The positive electrode active material is composed of lithium transition metal composite oxide particles having a hexagonal crystal structure and a layered structure, and in the general formula (B), -0.05. ltoreq. u.ltoreq.0.50, x + y + z + t 1, 0.3. ltoreq. x.ltoreq.0.95, 0.05. ltoreq. y.ltoreq.0.55, 0. ltoreq. z.ltoreq.0.4, 0. ltoreq. t.ltoreq.0.1, M is one or more additive elements selected from Mg, Ca, Al, Ti, V, Cr, Zr, Nb, Mo, Hf, Ta, W,\nthe positive electrode active material for a nonaqueous electrolyte secondary battery is composed of secondary particles formed by aggregating a plurality of primary particles,\nthe secondary particles have a central portion having a hollow structure or a hollow structure, and a space portion having no primary particles and an outer shell portion electrically connected to the central portion outside the central portion,\nand the average value of the ratio of the outer diameter of the central portion to the particle diameter of the secondary particles is 30 to 80%, the average value of the ratio of the thickness of the outer shell portion in the diameter direction to the particle diameter of the secondary particles is 5 to 25%,\nthe secondary particles have an average particle diameter of 1 to 15 [ mu ] m, and the [ (d90-d 10)/average particle diameter ] as an index indicating the width of the particle size distribution is 0.7 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 to 15 [ mu", | |
| "unit": "mu", | |
| "measured_entity": "secondary particles", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "0.7 or less", | |
| "unit": null, | |
| "measured_entity": "secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105122517B_19", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "20. The positive electrode active material for a nonaqueous electrolyte secondary battery according to claim 19, wherein the specific surface area is 0.7m2/g\uff5e3.0m2/g\u3002", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "0.7m2/g\uff5e3.0m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105122517B_20", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "21. A positive electrode active material for a nonaqueous electrolyte secondary battery, which is represented by the general formula (B): li1+uNixMnyCozMtO2The positive electrode active material is composed of lithium transition metal composite oxide particles having a hexagonal crystal structure and a layered structure, and in the general formula (B), -0.05. ltoreq. u.ltoreq.0.50, x + y + z + t 1, 0.3. ltoreq. x.ltoreq.0.95, 0.05. ltoreq. y.ltoreq.0.55, 0. ltoreq. z.ltoreq.0.4, 0. ltoreq. t.ltoreq.0.1, M is one or more additive elements selected from Mg, Ca, Al, Ti, V, Cr, Zr, Nb, Mo, Hf, Ta, W,\nthe positive electrode active material for a nonaqueous electrolyte secondary battery is composed of secondary particles formed by aggregating a plurality of primary particles,\nthe secondary particles have a central portion of a hollow structure or a hollow structure, and have at least a space portion where the primary particles are not present and an outer shell portion electrically connected to the central portion outside the central portion, and at least one inner shell portion between the space portion and the outer shell portion,\nthe secondary particles have an average particle diameter of 1 to 15 [ mu ] m, and the [ (d90-d 10)/average particle diameter ] as an index indicating the width of the particle size distribution is 0.7 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 to 15 [ mu", | |
| "unit": "mu", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "0.7 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105122517B_21", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "23. The positive electrode active material for a nonaqueous electrolyte secondary battery according to claim 21 or 22, wherein the specific surface area is 0.7m2/g\uff5e3.0m2/g\u3002", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "0.7m2/g\uff5e3.0m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105122517B_23", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "4. Transition metal composite hydroxide particles which are precursors of positive electrode active materials for nonaqueous electrolyte secondary batteries, wherein,\nthe transition metal composite hydroxide particles are composed of a plurality of plate-like primary particles and secondary particles formed by aggregating fine primary particles smaller than the plate-like primary particles,\nthe secondary particles have a central portion formed by the aggregation of the plate-like primary particles, and have a laminated structure in which a low-density portion formed by the aggregation of the fine primary particles and a high-density portion formed by the aggregation of the plate-like primary particles are laminated outside the central portion,\nthe secondary particles have an average particle diameter of 1 to 15 [ mu ] m, and the [ (d90-d 10)/average particle diameter ] as an index indicating the width of the particle size distribution is 0.65 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 to 15 [ mu", | |
| "unit": "mu", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "0.65 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105122517B_4", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "8. A method for producing transition metal composite hydroxide particles serving as a precursor of a positive electrode active material for a nonaqueous electrolyte secondary battery by a crystallization reaction, the method comprising:\na nucleus-forming step of controlling an aqueous solution for nucleus formation containing at least a transition metal-containing metal compound and an ammonium ion donor so that the aqueous solution for nucleus formation has a pH of 12.0 to 14.0 at a liquid temperature of 25 \u2103 and forming nuclei,\na particle growth step of controlling the aqueous solution for particle growth containing the nuclei obtained in the nucleus production step so that the pH of the aqueous solution for particle growth becomes lower than that in the nucleus production step at a liquid temperature of 25 \u2103 and 10.5 to 12.0 to grow the nuclei,\nand the reaction environment at the initial stage of the nucleus generation step and the particle growth step is a non-oxidizing environment having an oxygen concentration of 5% by volume or less,\nin the particle growth step, an environmental control is performed once in a range of 5% to 35% of the total time of the particle growth step from the start of the particle growth step, the environmental control being: the reaction environment is switched from the non-oxidizing environment to an oxidizing environment having an oxygen concentration of more than 5% by volume, and then from the oxidizing environment to a non-oxidizing environment having an oxygen concentration of 5% by volume or less, so that the crystallization reaction time in the oxidizing environment is 3% to 20% of the total time of the particle growth step.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "12.0 to 14.0", | |
| "unit": null, | |
| "measured_entity": "aqueous solution for nucleus formation", | |
| "measured_property": "pH" | |
| }, | |
| { | |
| "quantity": "25 \u2103", | |
| "unit": "\u2103", | |
| "measured_entity": "aqueous solution for nucleus formation", | |
| "measured_property": "liquid temperature" | |
| }, | |
| { | |
| "quantity": "25 \u2103", | |
| "unit": null, | |
| "measured_entity": "the aqueous solution for particle growth", | |
| "measured_property": "liquid temperature" | |
| }, | |
| { | |
| "quantity": "10.5 to 12.0", | |
| "unit": null, | |
| "measured_entity": "the aqueous solution for particle growth", | |
| "measured_property": "pH" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105122517B_8", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "1. A method for producing a transition metal composite oxide, comprising: a 1 st step of preparing a 1 st internal formation metal salt aqueous solution and a 2 nd internal formation metal salt aqueous solution containing nickel, cobalt, and manganese and having different concentrations of the nickel, cobalt, and manganese from each other; step 2, supplying a chelating agent and an aqueous alkali solution into the reactor; a 3 rd step of continuously supplying and mixing the 1 st interior-forming metal salt aqueous solution, the chelating agent, and the alkali aqueous solution to the reactor, and culturing particles having a fixed concentration of nickel, cobalt, and manganese and containing the 1 st interior having a radius of r1(0.2 um. ltoreq. r 1. ltoreq.5 um); and a 4 th step of mixing and supplying the 1 st inside forming metal salt aqueous solution and the 2 nd inside forming metal salt aqueous solution in a mixing ratio gradually changing from 100 v%: 0 v% to 0 v%: 100 v%, while mixing the chelating agent and the alkali aqueous solution into the reactor, to form particles containing the 2 nd inside having a radius r2(r2 \u2266 10um) in the 1 st inside profile, characterized in that,\nthe concentration of the alkaline aqueous solution added in the reactor in the 2 nd step is adjusted according to the nickel concentration of the particles produced in the 3 rd step before the 3 rd step, and the concentration of the alkaline aqueous solution of the reaction solution in the 2 nd step is adjusted to 0.25g/L to 0.5g/L so that the pH of the solution in the reactor in the 2 nd step is adjusted to 11.8 to 12.3.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "adjusted to 0.25g/L to 0.5g/L", | |
| "unit": "g/L", | |
| "measured_entity": "3 rd step", | |
| "measured_property": "the concentration of the alkaline aqueous solution" | |
| }, | |
| { | |
| "quantity": "to 11.8 to 12.3", | |
| "unit": null, | |
| "measured_entity": "the solution in the reactor", | |
| "measured_property": "pH" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105594029B_1", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "3. The method for producing a transferred-metal composite oxide according to claim 1,\nin the steps 1 to 4, the aqueous solution of the metal salt for forming the inside of the 1 st compartment, the chelating agent, and the aqueous alkali solution are mixed in the reactor so that the particle size distribution of the particles formed after the reaction for 30 minutes has D50 of 4um or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "4um", | |
| "unit": "um", | |
| "measured_entity": "the particles", | |
| "measured_property": "D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105594029B_3", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "4. The method for producing a transferred-metal composite oxide according to claim 1,\nfurther comprising the step 5: drying or heat-treating the transition metal composite oxide obtained by performing the 1 st to 4 th steps,\nand the average diameter of the transfer metal composite oxide particles produced in the 5 th step is 5 to 10 um.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "5 to 10 um", | |
| "unit": "um", | |
| "measured_entity": "transfer metal composite oxide particles", | |
| "measured_property": "average diameter" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105594029B_4", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "9. A method for producing a transition metal composite oxide,\nthe method comprises the following steps:\nmanufacturing a 1 st metal salt aqueous solution containing nickel, manganese and cobalt;\nmanufacturing an aqueous solution of a 2 nd metal salt containing nickel, manganese and cobalt;\nmixing an alkaline aqueous solution and an aqueous ammonia solution in a reactor, adjusting the concentration of the alkaline aqueous solution according to the nickel concentration of the 1 st metal salt aqueous solution, and adjusting the pH value in the reaction solution to 11.8 to 12.3; and\nsupplying a 1 st mixed metal salt aqueous solution mixing the 1 st metal salt aqueous solution and the 2 nd metal salt aqueous solution, ammonia, and an alkaline aqueous solution into the reactor,\nand a mixing ratio of the 1 st metal salt aqueous solution and the 2 nd metal salt aqueous solution in the 1 st mixed metal salt aqueous solution is 0 v% or more and 100 v% or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "11.8 to 12.3", | |
| "unit": null, | |
| "measured_entity": "in the reaction solution", | |
| "measured_property": "pH" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105594029B_9", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "3. A positive electrode active material for a lithium secondary battery according to claim 1 or 2, characterized in, lithium transition metal composite oxide has a particle size distribution of not more than a maximum value of 2.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "not more than a maximum value of 2", | |
| "unit": null, | |
| "measured_entity": "lithium transition metal composite oxide", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105594031A_3", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The positive electrode for lithium secondary battery active material according to claim 4 in which a manufacturing method, characterized in, of a tap density of 1.4 g/cc or more precursors.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.4 g/cc", | |
| "unit": "g/cc", | |
| "measured_entity": "precursors", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN105594031A_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "12. For a rechargeable battery positive electrode material of lithium metal oxide powder, having the general formula Li<sub>1+a</sub> M<sub>1-a</sub> O<sub>2</sub>, wherein M=Ni<sub>x</sub> Mn<sub>y</sub> Co<sub>z</sub> A<sub>v</sub>, Aas a dopant, wherein<0.30,0.55 \u2264 y \u2264 0.80 0.10 \u2264 a \u2264 0.25,0.10 \u2264 x, and the 0<z \u2264 0.30, v \u2264 0.05, and the x + y + z + v=1, powder having a particle size distribution 10\u03bcm \u2264 D50 \u2264 20 \u00b5m, 0.9 \u2264 BET \u2264 5 has a specific surface, with BET m<sup>2</sup> /grepresented, also include sodium and sulfur impurities powder, wherein sodium % by weight represented by (Na<sub>weight</sub>) and sulfur (S<sub>weight</sub>) sum of the contents (2 * Na<sub>weight</sub>) +S<sub>weight</sub> exceeds 0.4 wt % and less than 1.6% by weight, and wherein the molar ratio of sodium to sulfur (Na/S) was 0.4<Na/S<2.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "10\u03bcm \u2264 D50 \u2264 20 \u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "lithium metal oxide powder", | |
| "measured_property": "particle size distribution" | |
| }, | |
| { | |
| "quantity": "0.9 \u2264 BET \u2264 5", | |
| "unit": null, | |
| "measured_entity": "lithium metal oxide powder", | |
| "measured_property": "specific surface, with BET" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN106795008A_12", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "17. Method according to claim 13, wherein the reactor in the NH3concentration is less than 5.0 g/L.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "less than 5.0 g/L", | |
| "unit": "g/L", | |
| "measured_entity": "the reactor", | |
| "measured_property": "NH3concentration" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN106795008A_17", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "20. Method according to claim 13, wherein the seeds have a D50 mean particle size of 3 \u03bcm between 0.1 and an.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "3 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the seeds", | |
| "measured_property": "particle size" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN106795008A_20", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "7. For a rechargeable battery positive electrode material of a lithium metal oxide powder, having the general formula Li<sub>1+a</sub> M<sub>1-a</sub> O<sub>2</sub>, wherein M=Ni<sub>x</sub> Mn<sub>y</sub> Co<sub>z</sub> A<sub>v</sub>, Aas a dopant, wherein-0.05 \u2264 a \u2264 0.25,0.20 \u2264 x \u2264 0.90,0.10 \u2264 y \u2264 0.67, and a 0.10 \u2264 z \u2264 0.40, v \u2264 0.05, and the x + y + z + v=1, powder having a particle size distribution 10\u03bcm \u2264 D50 \u2264 20 \u00b5m, 0.9 \u2264 BET \u2264 5 has a specific surface, with BET m<sup>2</sup> /grepresented, sodium and sulfur powder also includes impurities, wherein % by weight sodium expressed by (Na<sub>weight</sub>) and sulfur (S<sub>weight</sub>) sum of the contents (2 * Na<sub>weight</sub>) +S<sub>weight</sub> more than 0.4% and less than 1.6% by weight of the weight, and wherein the molar ratio of sodium to sulfur (Na/S) was 0.4<Na/S<2.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "10\u03bcm \u2264 D50 \u2264 20 \u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "lithium metal oxide powder", | |
| "measured_property": "particle size distribution" | |
| }, | |
| { | |
| "quantity": "0.9 \u2264 BET \u2264 5", | |
| "unit": null, | |
| "measured_entity": "lithium metal oxide powder", | |
| "measured_property": "specific surface, with BET" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN106795008A_7", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "1. A carbonate precursor compound for the manufacture of lithium metal (M) oxide powder useful as an active positive electrode material in lithium ion batteries, M comprising 20 to 90 mol% Ni, 10 to 70 mol% Mn and 10 to 40 mol% Co, the precursor further comprising sodium and sulfur impurities, wherein the molar ratio of sodium to sulfur (Na/S) is 0.4<Na/S<2, and wherein the sodium (Na) is expressed in weight%<Sub>Weight (D)</Sub>) And sulfur (S)<Sub>Weight (D)</Sub>) Sum of contents (2. multidot. Na)<Sub>Weight (D)</Sub>)+S<Sub>Weight (D)</Sub>More than 0.4 wt% and less than 1.6 wt%.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "0.4 wt% and less than 1.6 wt%", | |
| "unit": "wt%", | |
| "measured_entity": "the precursor", | |
| "measured_property": "Sum of contents (2. multidot. Na)<Sub>Weight (D)</Sub>)+S<Sub>Weight (D)</Sub>" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN106795008B_1", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "11. A lithium metal oxide powder for use in a positive electrode material in a rechargeable battery having the general formula Li<Sub>1+a</Sub>M<Sub>1-a</Sub>O<Sub>2</Sub>Wherein M is Ni<Sub>x</Sub>Mn<Sub>y</Sub>Co<Sub>z</Sub>A<Sub>v</Sub>A is a dopant, wherein a is more than or equal to 0.10 and less than or equal to 0.25, and x is more than or equal to 0.10 and less than or equal to 0.25<Y is more than or equal to 0.30, 0.55 and less than or equal to 0.80, and 0<z 0.30, v 0.05 and x + y + z + v 1, said powder having a particle size distribution of 10 [ mu ] m 20 [ mu ] m D50, 0.9 BET 5 in m<Sup>2</Sup>Expressed in terms of/g, said powder further comprising sodium and sulphur impurities, wherein said sodium (Na) is expressed in weight%<Sub>Weight (D)</Sub>) And sulfur (S)<Sub>Weight (D)</Sub>) Sum of contents (2. multidot. Na)<Sub>Weight (D)</Sub>)+S<Sub>Weight (D)</Sub>More than 0.4% by weightAnd less than 1.6 wt%, and wherein the molar ratio of sodium to sulfur (Na/S) is 0.4<Na/S<2\u3002", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "10 [ mu ] m 20 [ mu", | |
| "unit": "mu", | |
| "measured_entity": "lithium metal oxide powder", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN106795008B_11", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "16. The method of claim 12, wherein NH in the reactor3The concentration is lower than 5.0 g/L.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "lower than 5.0 g/L", | |
| "unit": "g/L", | |
| "measured_entity": "NH", | |
| "measured_property": "concentration" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN106795008B_16", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "19. The method of claim 12, wherein the seed crystals have a median particle diameter D50 of between 0.1 and 3 \u03bc \u03b9 \u03b7.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "between 0.1 and 3 \u03bc \u03b9 \u03b7", | |
| "unit": "\u03bc \u03b9 \u03b7", | |
| "measured_entity": "the seed crystals", | |
| "measured_property": "median particle diameter D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN106795008B_19", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The carbonate precursor compound of claim 1, wherein the sodium content is between 0.1 and 0.7 wt% and the sulfur content is between 0.2 and 0.9 wt%.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "between 0.1 and 0.7 wt%", | |
| "unit": "wt%", | |
| "measured_entity": "carbonate precursor", | |
| "measured_property": "sodium content" | |
| }, | |
| { | |
| "quantity": "between 0.2 and 0.9 wt%", | |
| "unit": "wt%", | |
| "measured_entity": "carbonate precursor", | |
| "measured_property": "sulfur content" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN106795008B_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. A lithium metal oxide powder for use in a positive electrode material in a rechargeable battery having the general formula Li1+aM1-aO2Wherein M is NixMnyCozAvA is a dopant, where-0.05. ltoreq. a.ltoreq.0.25, 0.20. ltoreq. x.ltoreq.0.90, 0.10. ltoreq. y.ltoreq.0.67, and 0.10. ltoreq. z.ltoreq.0.40, v.ltoreq.0.05, and x + y + z + v.ltoreq.1, the powder having a particle size distribution of 10 \u03bcm. ltoreq.D 50. ltoreq.20 \u03bcm, a specific surface area of 0.9. ltoreq.\nBET 5 in m<Sup>2</Sup>Expressed in terms of/g, said powder further comprising sodium and sulphur impurities, wherein said sodium (Na) is expressed in weight%<Sub>Weight (D)</Sub>) And sulfur (S)<Sub>Weight (D)</Sub>) ComprisesSum of the amounts (2 Na)<Sub>Weight (D)</Sub>)+S<Sub>Weight (D)</Sub>More than 0.4 wt% and less than 1.6 wt%, and wherein the molar ratio of sodium to sulfur (Na/S) is 0.4<Na/S<2\u3002", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "10 \u03bcm. ltoreq.D 50. ltoreq.20 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "powder", | |
| "measured_property": "particle size distribution" | |
| }, | |
| { | |
| "quantity": "0.9.", | |
| "unit": null, | |
| "measured_entity": "powder", | |
| "measured_property": "specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN106795008B_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The transition metal oxide precursor of claim 1, wherein the transition metal oxide precursor has a tap density of from 1.0g/cc to 2.5 g/cc.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.0g/cc", | |
| "unit": "g/cc", | |
| "measured_entity": "transition metal oxide precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN107074588A_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "4. The transition metal oxide precursor of claim 1, wherein the transition metal oxide precursor has a tap density of from 1.0g/cc to 2.5 g/cc.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.0g/cc to 2.5 g/cc", | |
| "unit": "g/cc", | |
| "measured_entity": "transition metal oxide precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN107074588B_4", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. Composite transition metal oxide-based precursor according to claim 5, characterized in,\nAverage particle diameter of primary particles of the platy or acicular form 0.01-0.8 \u00b5m range,\nAn average particle size D50 of the secondary particles are 3-30 \u03bcm range.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "0.01-0.8 \u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "primary particles", | |
| "measured_property": "Average particle diameter" | |
| }, | |
| { | |
| "quantity": "3-30 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "average particle size D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN107305946A_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "7. Composite transition metal oxide-based precursor according to claim 1, characterized in,\nPrecursor has a tap density less than 2.0 g/cc to.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "less than 2.0 g/cc", | |
| "unit": "g/cc", | |
| "measured_entity": "Precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN107305946A_7", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "2. The anode active material precursor according to claim 1, characterized in, determined by the method according to nitrogen adsorption BET specific surface area of 50-200 m2/gof the range.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "50-200 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "precursor", | |
| "measured_property": "BET specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN107316984A_2", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "4. Composite transition metal oxide-based precursor according to claim 3, characterized in,\nAverage particle diameter of primary particles of the platy or acicular form 0.01-0.8 \u00b5m range, exists within a lot of pores on the surface or structure,\nThe secondary particles have an average particle size D50 to 3-30 \u03bcm of the range.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "0.01-0.8 \u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "primary particles", | |
| "measured_property": "Average particle diameter" | |
| }, | |
| { | |
| "quantity": "3-30 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "The secondary particles", | |
| "measured_property": "average particle size D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN107342416A_4", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. Composite transition metal oxide-based precursor according to claim 1, characterized in, or more of the tap density of 2.0 g/cc precursor.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "2.0 g/cc", | |
| "unit": null, | |
| "measured_entity": "precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN107342416A_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. Composite transition metal oxide-based precursor according to claim 1, characterized in, according to the BET nitrogen adsorption of the precursor of the specific surface area of 5-80 m measured2/gof the range.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "5-80 m measured2/g", | |
| "unit": "m measured2/g", | |
| "measured_entity": "transition metal oxide-based precursor", | |
| "measured_property": "specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN107342416A_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "1. A preparation method of porous nickel-cobalt-manganese composite hydroxide is characterized by comprising the following steps: mixing a nickel salt, a cobalt salt, a manganese salt aqueous solution, a complexing agent and a precipitating agent, adding a loosening agent, adjusting the pH of the system to 10-12, and heating, stirring and reacting to obtain a porous nickel-cobalt-manganese composite hydroxide precipitate; and washing and drying to obtain the porous nickel-cobalt-manganese composite hydroxide.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "10-12", | |
| "unit": null, | |
| "measured_entity": "aqueous solution", | |
| "measured_property": "pH" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN107732212A_1", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "8. The method for preparing a porous nickel-cobalt-manganese composite hydroxide according to claim 1, characterized in that: the dosage of the complexing agent is 1-20 g/L; the total molar ratio of the used precipitator to the nickel element, the cobalt element and the manganese element is 2: 1; the heating and stirring reaction is carried out at a rotating speed of 100-300 rpm and a temperature of 40-80 \u2103 for 20-200 h.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1-20 g/L", | |
| "unit": "g/L", | |
| "measured_entity": "dosage of the complexing agent", | |
| "measured_property": null | |
| }, | |
| { | |
| "quantity": "40-80 \u2103", | |
| "unit": "\u2103", | |
| "measured_entity": "temperature", | |
| "measured_property": null | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN107732212A_8", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "14. The method of claim 9, wherein the pH of the first mixture in the first process is adjusted to be in the range of 10 to 11 and the pH of the second mixture in the second process is adjusted to be in the range of 11.5 to 12.0.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "range of 10 to 11", | |
| "unit": null, | |
| "measured_entity": "first mixture in the first process", | |
| "measured_property": "pH" | |
| }, | |
| { | |
| "quantity": "range of 11.5 to 12.0", | |
| "unit": null, | |
| "measured_entity": "second mixture in the second process", | |
| "measured_property": "pH" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN108281650A_14", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "10. The positive electrode active material for a secondary battery according to claim 8, having a tap density of 1.7 to 3.0 g/cc.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.7 to 3.0 g/cc", | |
| "unit": "g/cc", | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN108701827A_10", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The precursor of the positive electrode active material for a secondary battery according to claim 1, having an average particle diameter (D) of 7 to 20 \u03bcm50) And 5.0m2G to 30.0m2BET specific surface area in g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "7 to 20 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "The precursor", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "5.0m2G to 30.0m2", | |
| "unit": null, | |
| "measured_entity": "The precursor", | |
| "measured_property": "BET specific surface" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN108701827A_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. A method of preparing a precursor of the positive electrode active material for a secondary battery according to claim 1, the method comprising:\npreparing a metal-containing solution by mixing a nickel raw material, a cobalt raw material, and a manganese raw material; and\nintroducing an ammonium cation-containing complex former and a basic compound into the metal-containing solution and subjecting the resultant to a coprecipitation reaction at a pH of 10.50 to 12.00 and a temperature of 50 \u2103 to 70 \u2103,\nwherein the ammonium cation-containing complex former is introduced at a rate of 0.5 to 1.5 times relative to the rate of introduction of the metal-containing solution.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "10.50 to 12.00", | |
| "unit": null, | |
| "measured_entity": "coprecipitation reaction", | |
| "measured_property": "pH" | |
| }, | |
| { | |
| "quantity": "50 \u2103 to 70 \u2103", | |
| "unit": "\u2103", | |
| "measured_entity": "coprecipitation reaction", | |
| "measured_property": "temperature" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN108701827A_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "9. The positive electrode active material for a secondary battery according to claim 8, having an average particle diameter of 7 to 15 \u03bcm and 0.1m2G to 1.0m2BET specific surface area in g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "7 to 15 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "0.1m2G to 1.0m2", | |
| "unit": null, | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "BET specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "CN108701827A_9", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. Pulverulent compound according to at least one of Claims 1 to 5,characterized in that:\na) the normalized width of the particle size distribution, measured according to the Formula (1)\nD90\u2212D10D50\nin which D denotes the diameter of the secondary particles, is less than 1.4; or\nb)the normalized width of the particle size distribution, measured according to the Formula (1)\nD90\u2212D10D50\nin which D denotes the diameter of the secondary particles, is less than 1.2.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "is less than 1.4", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| }, | |
| { | |
| "quantity": "is less than 1.2", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2067196B1_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "7. Pulverulent compound according to at least one of Claims 1 to 6,characterized in thatit has a compressed density of at least 3.2 g/cm3at a compression pressure of 200 MPa.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "at least 3.2 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "Pulverulent compound", | |
| "measured_property": "compressed density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2067196B1_7", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "8. Pulverulent compound according to at least one of Claims 1 to 7,characterized in that:\na) it has a tapped density measured according to ASTM B 527, of at least 2.2 g/cm3; or\nb) it has a tapped density measured according to ASTM B 527, of at least 2.4 g/cm3.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "at least 2.2 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "Pulverulent compound", | |
| "measured_property": "tapped density" | |
| }, | |
| { | |
| "quantity": "at least 2.4 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "Pulverulent compound", | |
| "measured_property": "tapped density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2067196B1_8", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "13. The method according to any one of claims 9 to 12, wherein a pH of the first mixture in the first process is adjusted to be in a range of 10 to 11, and a pH of the second mixture in the second process is adjusted to be in a range of 11.5 to 12.0.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in a range of 10 to 11", | |
| "unit": null, | |
| "measured_entity": "the first process", | |
| "measured_property": "pH" | |
| }, | |
| { | |
| "quantity": "in a range of 11.5 to 12.0", | |
| "unit": null, | |
| "measured_entity": "the second process", | |
| "measured_property": "pH" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2602849A2_13", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "9. A method of preparing a positive active material for a lithium secondary battery, the method comprising:\na first process for mixing a first precursor solution comprising a nickel salt, a cobalt salt, and a manganese salt, at a molar ratio of x:y:z satisfying 0.05\u2264x\u22640.9, 0.1\u2264y\u22640.8, 0.1\u2264z\u22640.8, and a first base, to prepare a first mixture and inducing a reaction in the first mixture to obtain a precipitate;\na second process for adding to the precipitate a second precursor solution comprising a nickel salt, a cobalt salt, and a manganese salt, at a molar ratio of x':y':z' satisfying 0.05\u2264x'\u22640.9, 0.1\u2264y'\u22640.8, 0.1\u2264z'\u22640.8, and x'+y'+z'=1, and a second base, to obtain a second mixture and inducing a reaction in the second mixture to obtain a nickel-based composite hydroxide; and\nmixing the composite metal hydroxide with a lithium salt and heat treating the mixed composite metal hydroxide to prepare the positive active material according to any one of claims 1 to 8,\nwherein the content of nickel in the first precursor solution is adjusted to be larger than the content of the second precursor solution,\nwherein the reaction time of the second mixture in the second process is adjusted to be longer than the reaction time of the first mixture in the first process, and\nwherein a pH of the first mixture in the first process is adjusted to be in a range of 10 to 11, and a pH of the second mixture in the second process is adjusted to be in a range of 11.5 to 12.0.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "a range of 10 to 11", | |
| "unit": null, | |
| "measured_entity": "the first process", | |
| "measured_property": "pH" | |
| }, | |
| { | |
| "quantity": "a range of 11.5 to 12.0", | |
| "unit": null, | |
| "measured_entity": "the second process", | |
| "measured_property": "pH" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2602849B1_9", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "10. The precursor material of claim 1, wherein a sodium level within the precursor material is less than 500 ppm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "is less than 500 ppm", | |
| "unit": "ppm", | |
| "measured_entity": "the precursor", | |
| "measured_property": "sodium level" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_10", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "11. The precursor material of claim 10, wherein a sodium level within the precursor material is less than 300 ppm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "is less than 300 ppm", | |
| "unit": "ppm", | |
| "measured_entity": "the precursor", | |
| "measured_property": "sodium level" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_11", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "16. The method of claim 13, wherein the alkaline hydroxide maintains the solution at a pH in the range from about 11-13.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from about 11-13", | |
| "unit": null, | |
| "measured_entity": "the solution", | |
| "measured_property": "pH" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_16", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "23. The method of claim 13, wherein the co-precipitation is conducted at a temperature in the reactors at a temperature in the range from about 50-70 \u00b0C.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from about 50-70 \u00b0C", | |
| "unit": "\u00b0C", | |
| "measured_entity": "in the reactors", | |
| "measured_property": "temperature" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_23", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "24. The method of claim 13, wherein the precursor material has an average particle size (D50) in the range from 3-30 microns.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 3-30 microns", | |
| "unit": "microns", | |
| "measured_entity": "the precursor", | |
| "measured_property": "average particle size (D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_24", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "25. The method of claim 24, wherein the precursor material has an average particle size (D50) in the range from 7-13 microns.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 7-13 microns", | |
| "unit": "microns", | |
| "measured_entity": "the precursor", | |
| "measured_property": "average particle size (D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_25", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "26. The method of claim 13, wherein the precursor material has a tap density in the range from 0.8-2.8 g/cm3.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 0.8-2.8 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "the precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_26", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "27. The method of claim 26, wherein the precursor material has a tap density in the range from 1.8-2.3 g/cm3.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 1.8-2.3 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "the precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_27", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "28. The method of claim 13, wherein the precursor material has a surface area in the range from 2-20 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 2-20 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "the precursor", | |
| "measured_property": "surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_28", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "29. The method of claim 28, wherein the precursor material has a surface area in the range from 2-8 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 2-8 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "the precursor", | |
| "measured_property": "surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_29", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "30. The method of claim 13, wherein a sodium level within the precursor material is less than 500 ppm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "is less than 500 ppm", | |
| "unit": "ppm", | |
| "measured_entity": "the precursor", | |
| "measured_property": "sodium level" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_30", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "31. The method of claim 30, wherein a sodium level within the precursor material is less than 300 ppm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "is less than 300 ppm", | |
| "unit": "ppm", | |
| "measured_entity": "the precursor", | |
| "measured_property": "sodium level" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_31", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "4. The precursor material of claim 1, wherein the precursor material has an average particle size (D50) in the range from 3-30 microns.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "the range from 3-30 microns", | |
| "unit": "microns", | |
| "measured_entity": "the precursor", | |
| "measured_property": "average particle size" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_4", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The precursor material of claim 4, wherein the precursor material has an average particle size (D50) in the range from 7-13 microns.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 7-13 microns", | |
| "unit": "microns", | |
| "measured_entity": "the precursor", | |
| "measured_property": "average particle size" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. The precursor material of claim 1, wherein the precursor material has a tap density in the range from 0.8-2.8 g/cm3.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 0.8-2.8 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "the precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "7. The precursor material of claim 6, wherein the precursor material has a tap density in the range from 1.8-2.3 g/cm3.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 1.8-2.3 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "the precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_7", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "8. The precursor material of claim 1, wherein the precursor material has a surface area in the range from 2-20 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 2-20 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "the precursor", | |
| "measured_property": "surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_8", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "9. The precursor material of claim 8 , wherein the precursor material has a surface area in the range from 2-8 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 2-8 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "the precursor", | |
| "measured_property": "surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2619140B1_9", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "8. The transition metal precursor according to claim 1, wherein the transition metal precursor has an average particle diameter D50 of 1 to 30 \u00b5m.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 to 30 \u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "transition metal precursor", | |
| "measured_property": "average particle diameter D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2902364A1_8", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "4. The Li-Ni composite oxide particles according to any one of claims 1 to 3, wherein the Li-Ni composite oxide particles have an average particle diameter of 1 to 20\u00b5m and a BET specific surface area of 0.1 to 1.6 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 to 20\u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "Li-Ni composite oxide particles", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "0.1 to 1.6 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "Li-Ni composite oxide particles", | |
| "measured_property": "BET specific surface" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2911224A1_4", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. A process for producing the Li-Ni composite oxide particles as claimed in any one of claims 1 to 4, comprising the steps of mixing lithium compound particles and Ni-Co hydroxide particles, and calcining the resulting mixture, the Ni-Co hydroxide particles being produced by mixing an aqueous solution of a sulfuric acid salt of each metal element, an ammonia aqueous solution and a sodium hydroxide aqueous solution such that an ammonia concentration in a reaction vessel is controlled to not more than 1.4 mol/L, and a ratio of the ammonia concentration in the reaction vessel to a surplus hydroxyl group concentration in the reaction vessel is controlled to not less than 6.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.4 mol/L", | |
| "unit": "mol/L", | |
| "measured_entity": "ammonia", | |
| "measured_property": "ammonia concentration" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2911224A1_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. A process for producing the Li-Ni composite oxide particles as claimed in any one of claims 1 to 4, comprising the steps of mixing lithium compound particles, Ni-Co hydroxide particles, and aluminum compound particles and/or zirconium compound particles, and calcining the resulting mixture, the Ni-Co hydroxide particles being produced by mixing an aqueous solution of a sulfuric acid salt of each metal element, an ammonia aqueous solution and a sodium hydroxide aqueous solution such that an ammonia concentration in a reaction vessel is controlled to not more than 1.4 mol/L, and a ratio of the ammonia concentration in the reaction vessel to a surplus hydroxyl group concentration in the reaction vessel is controlled to not less than 6.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.4 mol/L", | |
| "unit": "mol/L", | |
| "measured_entity": "ammonia", | |
| "measured_property": "ammonia concentration" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2911224A1_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "2. The Li-Ni composite oxide particles according to claim 1, wherein the Li-Ni composite oxide particles have an average particle diameter of 1 to 20 \u00b5m.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 to 20 \u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "Li-Ni composite oxide particles", | |
| "measured_property": "average particle diameter" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2911224B1_2", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "3. The Li-Ni composite oxide particles according to claim 1 or 2, wherein the Li-Ni composite oxide particles have a BET specific surface area of 0.1 to 1.6 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "0.1 to 1.6 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "Li-Ni composite oxide particles", | |
| "measured_property": "BET specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2911224B1_3", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "4. A process for producing the Li-Ni composite oxide particles as claimed in any one of claims 1 to 3, comprising the steps of:\nproducing Ni-Co hydroxide particles by mixing an aqueous solution of a sulfuric acid salt of each metal element, an ammonia aqueous solution and a sodium hydroxide aqueous solution such that an ammonia concentration in a reaction vessel is controlled to not more than 1.4 mol/L, and a ratio of the ammonia concentration in the reaction vessel to a surplus hydroxyl group concentration in the reaction vessel is controlled to not less than 6,\nmixing lithium compound particles and the Ni-Co hydroxide particles, and\ncalcining the resulting mixture, the mixing ratio of the particles being controlled such that the molar ratio of Li/(Ni+Co+M1+M2) is 1.00 to 1.10.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.4 mol/L", | |
| "unit": "mol/L", | |
| "measured_entity": "ammonia", | |
| "measured_property": "concentration" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2911224B1_4", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "8. A process according to any one of claims 4 to 7, wherein the lithium compound particles have an average particle diameter of not more than 50 \u00b5m.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "not more than 50 \u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "lithium compound particles", | |
| "measured_property": "average particle diameter" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2911224B1_8", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "9. A process according to any one of claims 4 to 8, wherein the Ni-Co hydroxide particles have an average particle diameter of 2 to 30 \u00b5m and BET specific surface area of 1 to 20 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "2 to 30 \u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "Ni-Co hydroxide particles", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "1 to 20 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "Ni-Co hydroxide particles", | |
| "measured_property": "BET specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP2911224B1_9", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "10. A lithium metal oxide powder for a positive electrode material in a rechargeable battery, having the general formula Li<sub>1+a</sub>M<sub>1-a</sub>O<sub>2</sub> where M= Ni<sub>x</sub>Mn<sub>y</sub>Co<sub>z</sub>A<sub>v</sub>, A being a dopant, wherein 0.10\u2264a\u22640.25, 0.10\u2264x\u22640.30, 0.55\u2264y\u22640.80, and 0<z\u22640.30, v\u22640.05, and x+y+z+v=1, the powder having a particle size distribution with 10\u00b5m\u2264D50\u226420\u00b5m, a specific surface area with 0.9\u2264BET\u22645, the BET being expressed in m<sup>2</sup>/g, the powder further comprising a sodium and sulfur impurity, wherein the sum (2* Na<sub>wt</sub>)+ S<sub>wt</sub> of the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content expressed in wt% is more than 0.4 wt% and less than 1.6 wt%, and wherein the sodium to sulfur molar ratio (Na/S) is 0.4<Na/S<2.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "10\u00b5m\u2264D50\u226420\u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "lithium metal oxide powder", | |
| "measured_property": "particle size distribution" | |
| }, | |
| { | |
| "quantity": "0.9\u2264BET\u22645, the BET being expressed in m<sup>2</sup>/g", | |
| "unit": "m<sup>2</sup>/g", | |
| "measured_entity": "lithium metal oxide powder", | |
| "measured_property": "specific surface area" | |
| }, | |
| { | |
| "quantity": "is more than 0.4 wt% and less than 1.6 wt%", | |
| "unit": "wt%", | |
| "measured_entity": "sodium and sulfur", | |
| "measured_property": "the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP3204973B1_10", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "11. A method for preparing a carbonate precursor compound according to claim 2 or 3, <u>the</u> precursor compound having a sodium to sulfur molar ratio (Na/S) of 0.4<Na/S<2, and having a sum (2* Na<sub>wt</sub>)+ S<sub>wt</sub> of the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content expressed in wt% of more than 0.4 wt% and less than 1.6 wt%, comprising the steps of:\n- providing a feed solution comprising Ni-, Mn- and Co-ions, and a source of A, wherein the Ni-, Mn-, Co- and A-ions are present in a water soluble sulfate compound,\n- providing an ionic solution comprising a carbonate solution and Na-ions, wherein the CO3/SO4ratio is selected so as to obtain the Na/S molar ratio of the precursor compound,\n- providing a slurry comprising seeds comprising M'-ions, wherein M' = Nix'Mny'Coz'A'n',\nA' being a dopant, with 0\u2264x'\u22641, 0\u2264y'\u22641, 0\u2264z'\u22641, 0\u2264n'\u22641 and x'+y'+z'+n'=1,\n- mixing the feed solution, the ionic solution and the slurry in a reactor, thereby obtaining a reactive liquid mixture,\n- precipitating a carbonate onto the seeds in the reactive liquid mixture, thereby obtaining a reacted liquid mixture and the carbonate precursor, and\n- separating the carbonate precursor from the reacted liquid mixture.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "more than 0.4 wt% and less than 1.6 wt%", | |
| "unit": "wt%", | |
| "measured_entity": "sodium (Na<sub>wt</sub>) and sulfur", | |
| "measured_property": "content" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP3204973B1_11", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "13. The method according to claim 11 or 12, wherein the concentration of NH3in the reactor is less than 5.0 g/L.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "less than 5.0 g/L", | |
| "unit": "g/L", | |
| "measured_entity": "NH3", | |
| "measured_property": "concentration" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP3204973B1_13", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "16. The method according to any one of claims 11 to 15, wherein the seeds have a median particle size D50 between 0.1 and 3 \u00b5m.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "between 0.1 and 3 \u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "the seeds", | |
| "measured_property": "median particle size D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP3204973B1_16", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. A lithium metal oxide powder for a positive electrode material in a rechargeable battery, having the general formula Li<sub>1+a</sub>M<sub>1-a</sub>O<sub>2</sub> where M= Ni<sub>x</sub>Mn<sub>y</sub>Co<sub>z</sub>A<sub>v</sub>, A being a dopant, wherein -0.05\u2264a\u22640.25, 0.20\u2264x\u22640.90, 0.10\u2264y\u22640.67, and 0.10\u2264z\u22640.40, v\u22640.05, and x+y+z+v=1, the powder having a particle size distribution with 10\u00b5m\u2264D50\u226420\u00b5m), a specific surface area with 0.9\u2264BET\u22645, the BET being expressed in m<sup>2</sup>/g, the powder further comprising a sodium and sulfur impurity, wherein the sum (2* Na<sub>wt</sub>)+ S<sub>wt</sub> of the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content expressed in wt% is more than 0.4 wt% and less than 1.6 wt%, and wherein the sodium to sulfur molar ratio (Na/S) is 0.4<Na/S<2.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "10\u00b5m\u2264D50\u226420\u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "lithium metal oxide powder", | |
| "measured_property": "particle size distribution" | |
| }, | |
| { | |
| "quantity": "0.9\u2264BET\u22645, the BET being expressed in m<sup>2</sup>/g", | |
| "unit": "m<sup>2</sup>/g", | |
| "measured_entity": "lithium metal oxide powder", | |
| "measured_property": "specific surface area" | |
| }, | |
| { | |
| "quantity": "is more than 0.4 wt% and less than 1.6 wt%", | |
| "unit": "wt%", | |
| "measured_entity": "lithium metal oxide powder", | |
| "measured_property": "sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP3204973B1_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The precursor of a positive electrode active material for a secondary battery of Claim 1, which has an average particle diameter (D50) of 7 \u00b5m to 20 \u00b5m and a BET specific surface area of 5.0 m2/g to 30.0 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "7 \u00b5m to 20 \u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "The precursor", | |
| "measured_property": "average particle diameter (D50" | |
| }, | |
| { | |
| "quantity": "5.0 m2/g to 30.0 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "The precursor", | |
| "measured_property": "BET specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP3425706A1_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. A method for preparing the precursor of a positive electrode active material for a secondary battery of Claim 1, the method comprising:\npreparing a metal-containing solution by mixing a nickel raw material, a cobalt raw material and a manganese raw material; and\nand introducing an ammonium cation-containing complex forming agent and a basic compound to the metal-containing solution and co-precipitation reacting the result under a pH of 10.50 to 12.00 and a temperature of 50\u00b0C to 70\u00b0C,\nwherein the ammonium cation-containing complex forming agent is introduced at a rate of 0.5 times to 1.5 times with respect to an introduction rate of the metal-containing solution.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "10.50 to 12.00", | |
| "unit": null, | |
| "measured_entity": "co-precipitation reacting", | |
| "measured_property": "pH" | |
| }, | |
| { | |
| "quantity": "50\u00b0C to 70\u00b0C", | |
| "unit": "\u00b0C", | |
| "measured_entity": "co-precipitation reacting", | |
| "measured_property": "temperature" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP3425706A1_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "9. The positive electrode active material for a secondary battery of Claim 8, which has an average particle diameter of 7 \u00b5m to 15 \u00b5m and a BET specific surface area of 0.1 m2/g to 1.0 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "7 \u00b5m to 15 \u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "0.1 m2/g to 1.0 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "BET specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP3425706A1_9", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "1. A nickel-based active material precursor for a lithium secondary battery, comprising:\na porous core; and\na shell having a radially arranged structure with a higher density than the porous core,\nwherein the nickel-based active material precursor has a size of about 9 \u00b5m to about 14 \u00b5m, and\nthe porous core has a volume of about 5 % by volume to about 20 % by volume based on the total volume of the nickel-based active material precursor.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "9 \u00b5m to about 14 \u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "active material precursor", | |
| "measured_property": "size" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP3550642A1_1", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "1. A process for preparing a nickel composite hydroxide with a mean particle diameter in the range from 3 to 20 \u00b5m (d50) comprising the step(s) of combining\n(a) an aqueous solution of water-soluble salts of nickel and of at least one of cobalt and manganese, and, optionally, at least one of Al, Mg, B, or transition metals other than nickel, cobalt, and manganese,\n(b) with an aqueous solution of an alkali metal hydroxide and\n(c) with an organic acid or alkali or ammonium salt of an organic acid or an anhydride of an organic acid whose nickel(+II) salt has a solubility of 1g/l or less in water at 20\u00b0C, and, optionally, with\n(d) an aqueous solution of alkali metal aluminate.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 3 to 20 \u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "A process for preparing", | |
| "measured_property": "particle diameter" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP3659974A1_1", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "10. A nickel composite hydroxide in particulate form with a mean particle diameter in the range from 3 to 20 \u00b5m (d50), containing in the range of from 60 to 95 mole-% Ni and at least one transition metal selected from Co and Mn, and in the range of from 0.1 to 3.0 % by weight of carboxylate whose Ni(+II) salt has a solubility in water at 20\u00b0C of 1g/l or less, and the percentage referring to said nickel composite hydroxide.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range from 3 to 20 \u00b5m", | |
| "unit": "\u00b5m", | |
| "measured_entity": "composite hydroxide", | |
| "measured_property": "particle diameter" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP3659974A1_10", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "13. Nickel composite hydroxide according to any of claims 10 to 12 wherein said nickel composite hydroxide has a specific surface (BET) in the range of from 2 to 70 m2/g, determined according to.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range of from 2 to 70 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "composite hydroxide", | |
| "measured_property": "specific surface (BET" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP3659974A1_13", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "14. Nickel composite hydroxide according to any of claims 10 to 13 wherein said nickel composite hydroxide has a width of particle diameter distribution, calculated as [(d90-d10)/(d50)] of at least 0.5.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "at least 0.5", | |
| "unit": null, | |
| "measured_entity": "composite hydroxide", | |
| "measured_property": "particle diameter distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP3659974A1_14", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "3. Process according to claim 1 or 2 wherein said process is carried out a pH value in the range of from 11 to 13.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in the range of from 11 to 13", | |
| "unit": null, | |
| "measured_entity": "process", | |
| "measured_property": "pH value" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP3659974A1_3", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "9. The method of claim 6, wherein the cobalt oxide particle and the manganese oxide particle each have an average particle diameter (D50) of 10-500 nm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "10-500 nm", | |
| "unit": "nm", | |
| "measured_entity": "cobalt oxide particle and the manganese oxide particle", | |
| "measured_property": "average particle diameter (D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP3693340A2_9", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "2. A method of manufacturing a positive electrode active material precursor for a non-aqueous electrolyte secondary battery, the method comprising:\na crystallization process performed in an atmosphere in which an oxygen concentration is less than or equal to 20 volume %, the crystallization process including crystallizing the positive electrode active material precursor including a nickel composite hydroxide particle, in a reaction solution including at least a mixed aqueous solution of a metal salt including nickel salt, an ammonium ion supplier, and an alkaline material, in which an ammonium ion concentration is greater than or equal to 5.0 g/L and a pH value is greater than or equal to 11.0 based on a liquid temperature of 50 \u00b0C.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "greater than or equal to 5.0 g/L", | |
| "unit": "g/L", | |
| "measured_entity": "active material precursor", | |
| "measured_property": "ammonium ion concentration" | |
| }, | |
| { | |
| "quantity": "greater than or equal to 11.0", | |
| "unit": null, | |
| "measured_entity": "active material precursor", | |
| "measured_property": "pH value" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "EP3719889A1_2", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "10. The positive electrode active material for a secondary battery of Claim 8, which has tap density of 1.7 g/cc to 3.0 g/cc.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.7 g/cc to 3.0 g/cc", | |
| "unit": "g/cc", | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "IN201817029065A_10", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The precursor of a positive electrode active material for a secondary battery of Claim 1, which has an average particle diameter (D50) of 7 .micro.m to 20 .micro.m and a BET specific surface area of 5.0 m2/g to 30.0 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "7 .micro.m to 20 .micro.m", | |
| "unit": "micro.m", | |
| "measured_entity": "The precursor", | |
| "measured_property": "average particle diameter (D50" | |
| }, | |
| { | |
| "quantity": "5.0 m2/g to 30.0 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "The precursor", | |
| "measured_property": "BET specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "IN201817029065A_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. A method for preparing the precursor of a positive electrode active material for a secondary battery of Claim 1, the method comprising: preparing a metal-containing solution by mixing a nickel raw material, a cobalt raw material and a manganese raw material;\nand and introducing an ammonium cation-containing complex forming agent and a basic compound to the metal-containing solution and co-precipitation reacting the result under a pH of 10.50 to 12.00 and a temperature of 50C to 70C, wherein the ammonium cation-containing complex forming agent is introduced at a rate of 0.5 times to 1.5 times with respect to an introduction rate of the metalcontaining solution.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "10.50 to 12.00", | |
| "unit": null, | |
| "measured_entity": "pH", | |
| "measured_property": null | |
| }, | |
| { | |
| "quantity": "50C to 70C", | |
| "unit": "C", | |
| "measured_entity": "temperature", | |
| "measured_property": null | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "IN201817029065A_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "9. The positive electrode active material for a secondary battery of Claim 8, which has an average particle diameter of 7 .micro.m to 15 .micro.m and a BET specific surface area of 0.1 m2/g to 1.0 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "7 .micro.m to 15 .micro.m", | |
| "unit": "micro.m", | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "0.1 m2/g to 1.0 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "BET specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "IN201817029065A_9", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The method for producing the positive active material for a lithium secondary battery according to claim 4, wherein the precursor has a tap density of 1.4 g/cc or more.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.4 g/cc", | |
| "unit": "g/cc", | |
| "measured_entity": "precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US10319998B2_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "The invention claimed is:\n1. A lithium metal oxide powder for a positive electrode material in a rechargeable battery, having the general formula Li<sub>1+a</sub>M<sub>1\u2212a</sub>O<sub>2 </sub>where M=Ni<sub>x</sub>Mn<sub>y</sub>Co<sub>z</sub>A<sub>v</sub>, A being a dopant, wherein \u22120.05\u2264a\u22640.25, 0.20\u2264x\u22640.90, 0.10\u2264y\u22640.67, and 0.10\u2264z\u22640.40, v\u22640.05, and x+y+z+v=1, the powder having a particle size distribution with 10 \u03bcm\u2264D50\u226420 \u03bcm, a specific surface with 0.9\u2264BET\u22645, the BET being expressed in m<sup>2</sup>/g, the powder further comprising a sodium and sulfur impurity, wherein the sum (2*Na<sub>wt</sub>)+S<sub>wt </sub>of the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content expressed in wt % is more than 0.4 wt % and less than 1.6 wt %, and wherein the sodium to sulfur molar ratio (Na/S) is 0.4<Na/S<2.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "10 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the powder", | |
| "measured_property": "particle size distribution" | |
| }, | |
| { | |
| "quantity": "0.9\u2264BET\u22645, the BET being expressed in m<sup>2</sup>/g", | |
| "unit": "m<sup>2</sup>/g", | |
| "measured_entity": "the powder", | |
| "measured_property": "specific surface" | |
| }, | |
| { | |
| "quantity": "more than 0.4 wt % and less than 1.6 wt %", | |
| "unit": "wt %", | |
| "measured_entity": "sodium and sulfur impurity", | |
| "measured_property": "(2*Na<sub>wt</sub>)+S<sub>wt </sub>of the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>)" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US10411258B2_1", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "What is claimed is:\n1. A precursor of a positive electrode active material for a secondary battery, comprising:\na secondary particle having a single layer structure, wherein the single layer structure is an aggregate of pillar-shaped primary particles radially oriented in a surface direction from the particle center of the secondary particle,\nwherein\nthe primary particle includes a composite metal hydroxide of Ni\u2014Co\u2014Mn of the following Chemical Formula 1:\nNi1\u2212(x+y+z)CoxMyMnz(OH)2[Chemical Formula 1]\nwherein, in Chemical Formula 1,\nM includes any one, or two or more elements selected from the group consisting of Al, Zr, Mg, Zn, Y, Fe and Ti; and\nx, y and z are each 0<x<1, 0\u2264y<1, 0<z<1 and 0<x+y+z<1, wherein the precursor is prepared by a method comprising:\nintroducing an ammonium cation-containing complex forming agent and a basic compound to a metal-containing solution to form a reaction solution, wherein a metal-containing solution includes a nickel raw material, a cobalt raw material and a manganese raw material; and\nco-precipitation reacting the reaction solution under a pH of 10.50 to 12.00 and a temperature of 50\u00b0 C. to 70\u00b0 C.,\nwherein the ammonium cation-containing complex forming agent is introduced at a rate of 0.5 times to 1.5 times with respect to an introduction rate of the metal-containing solution.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "10.50 to 12.00", | |
| "unit": null, | |
| "measured_entity": "the reaction solution", | |
| "measured_property": "pH" | |
| }, | |
| { | |
| "quantity": "50\u00b0 C. to 70\u00b0 C", | |
| "unit": "\u00b0 C", | |
| "measured_entity": "the reaction solution", | |
| "measured_property": "temperature" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US10700352B2_1", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The precursor of a positive electrode active material for a secondary battery of claim 1, wherein the precursor has an average particle diameter (D50) of 7 \u03bcm to 20 \u03bcm and a BET specific surface area of 5.0 m2/g to 30.0 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "7 \u03bcm to 20 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "precursor", | |
| "measured_property": "average particle diameter (D50" | |
| }, | |
| { | |
| "quantity": "5.0 m2/g to 30.0 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "precursor", | |
| "measured_property": "BET specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US10700352B2_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. The method for preparing the precursor of a positive electrode active material for a secondary battery of claim 1, wherein the ammonium cation-containing complex forming agent and the basic compound are used in a molar ratio of 1:10 to 1:2.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "molar ratio", | |
| "unit": "molar ratio", | |
| "measured_entity": "ammonium cation-containing complex forming agent and the basic compound", | |
| "measured_property": null | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US10700352B2_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "8. The positive electrode active material for a secondary battery of claim 7, wherein the positive electrode active material has an average particle diameter of 7 \u03bcm to 15 \u03bcm and a BET specific surface area of 0.1 m2/g to 1.0 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "7 \u03bcm to 15 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "0.1 m2/g to 1.0 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "BET specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US10700352B2_8", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "9. The positive electrode active material for a secondary battery of claim 7, which has tap density of 1.7 g/cc to 3.0 g/cc.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.7 g/cc to 3.0 g/cc", | |
| "unit": "g/cc", | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US10700352B2_9", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "3. The precursor of transition metal oxide according to claim 1, wherein the precursor of transition metal oxide has a tap density of between 1.0 and 2.5 g/cc.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.0 and 2.5 g/cc", | |
| "unit": "g/cc", | |
| "measured_entity": "precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US10811676B2_3", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "1. A transition metal mixed hydroxide consisting of primary particles and approximately spherical secondary particles formed by aggregation of primary particles, wherein the transition metal mixed hydroxide has an average particle diameter of from 1 \u03bcm to 20 \u03bcm and contains Mn, Ni, Fe and Co in a molar ratio of a:b:c:d, wherein a is from 0.3 to 0.7, b is from 0.4 to 0.7, c is more than 0 and not more than 0.1, d is from 0 to 0.2, and a+b+c+d=1.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "from 1 \u03bcm to 20 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the transition metal mixed hydroxide", | |
| "measured_property": "average particle diameter" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20120231340A1_1", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "4. The transition metal mixed hydroxide according to claim 1, wherein the average particle diameter is from 1 \u03bcm to 10 \u03bcm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "from 1 \u03bcm to 10 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "The transition metal mixed hydroxide", | |
| "measured_property": "average particle diameter" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20120231340A1_4", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. A lithium mixed metal oxide produced by calcining a mixture of the transition metal mixed hydroxide according to claim 1 and a lithium compound, wherein the lithium mixed metal oxide has an average particle diameter of from 1 \u03bcm to 20 \u03bcm", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "from 1 \u03bcm to 20 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the lithium mixed metal oxide", | |
| "measured_property": "average particle diameter" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20120231340A1_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "14. The method of claim 9, wherein a pH of the first mixture in the first process is adjusted to be in a range of about 10 to about 11, and a pH of the second mixture in the second process is adjusted to be in a range of about 11.5 to about 12.0.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "10 to about 11", | |
| "unit": null, | |
| "measured_entity": "in the first process", | |
| "measured_property": "pH" | |
| }, | |
| { | |
| "quantity": "11.5 to about 12.0", | |
| "unit": null, | |
| "measured_entity": "in the second process", | |
| "measured_property": "pH" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20130149608A1_14", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "10. The positive active material for a rechargeable lithium battery of claim 6, wherein the positive active material for a rechargeable lithium battery has a tap density of 1.5 g/cc to 2.5 g/cc.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.5 g/cc to 2.5 g/cc", | |
| "unit": "g/cc", | |
| "measured_entity": "positive active material for a rechargeable lithium battery", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20130183585A1_10", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "11. The positive active material for a rechargeable lithium battery of claim 6, wherein the positive active material for a rechargeable lithium battery has a specific surface area of 1.0 m2/g to 10.0 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.0 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "positive active material for a rechargeable lithium", | |
| "measured_property": "specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20130183585A1_11", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "4. The positive active material precursor for a rechargeable lithium battery of claim 1, wherein the metal oxide represented by the above Chemical Formula 1 has an average particle diameter of 5 \u03bcm to 15 \u03bcm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "5 \u03bcm to 15 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the metal oxide", | |
| "measured_property": "average particle diameter" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20130183585A1_4", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The positive active material precursor for a rechargeable lithium battery of claim 1, wherein the metal oxide represented by the above Chemical Formula 1 has a tap density of 1.0 g/cc to 2.0 g/cc.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.0 g/cc to 2.0 g/cc", | |
| "unit": "g/cc", | |
| "measured_entity": "the metal oxide", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20130183585A1_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "9. The positive active material for a rechargeable lithium battery of claim 8, wherein the primary particles have an average particle diameter of 1 nm to 500 nm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 nm to 500 nm", | |
| "unit": "nm", | |
| "measured_entity": "primary particles", | |
| "measured_property": "average particle diameter" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20130183585A1_9", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "4. The Li\u2014Ni composite oxide particles according to claim 1, wherein the Li\u2014Ni composite oxide particles have an average particle diameter of 1 to 20 \u03bcm and a BET specific surface area of 0.1 to 1.6 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 to 20 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the Li\u2014Ni composite oxide particles", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "0.1 to 1.6 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "the Li\u2014Ni composite oxide particles", | |
| "measured_property": "BET specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20150249248A1_4", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. A process for producing the Li\u2014Ni composite oxide particles as claimed in claim 1, comprising the steps of mixing lithium compound particles and Ni\u2014Co hydroxide particles, and calcining the resulting mixture, the Ni\u2014Co hydroxide particles being produced by mixing an aqueous solution of a sulfuric acid salt of each metal element, an ammonia aqueous solution and a sodium hydroxide aqueous solution such that an ammonia concentration in a reaction vessel is controlled to not more than 1.4 mol/L, and a ratio of the ammonia concentration in the reaction vessel to a surplus hydroxyl group concentration in the reaction vessel is controlled to not less than 6.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "to not more than 1.4 mol/L", | |
| "unit": "mol/L", | |
| "measured_entity": "ammonia", | |
| "measured_property": "concentration" | |
| }, | |
| { | |
| "quantity": "to not less than 6", | |
| "unit": null, | |
| "measured_entity": "ammonia", | |
| "measured_property": "concentration" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20150249248A1_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. A process for producing the Li\u2014Ni composite oxide particles as claimed in claim 1, comprising the steps of mixing lithium compound particles, Ni\u2014Co hydroxide particles, and aluminum compound particles and/or zirconium compound particles, and calcining the resulting mixture, the Ni\u2014Co hydroxide particles being produced by mixing an aqueous solution of a sulfuric acid salt of each metal element, an ammonia aqueous solution and a sodium hydroxide aqueous solution such that an ammonia concentration in a reaction vessel is controlled to not more than 1.4 mol/L, and a ratio of the ammonia concentration in the reaction vessel to a surplus hydroxyl group concentration in the reaction vessel is controlled to not less than 6.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "not more than 1.4 mol/L", | |
| "unit": "mol/L", | |
| "measured_entity": "ammonia", | |
| "measured_property": "concentration" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20150249248A1_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "8. The transition metal precursor according to claim 1, wherein the transition metal precursor has an average particle diameter D50 of 1 to 30 \u03bcm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 to 30 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "transition metal precursor", | |
| "measured_property": "average particle diameter D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20160002063A1_8", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "16. Cathode active material for a non-aqueous electrolyte rechargeable battery comprising secondary particles that are formed by an aggregation of plural primary particles,\nthe cathode active material comprising layered hexagonal crystal lithium nickel manganese composite oxide particles that are expressed by the general expression (B): Li1+uNixMnyCozMtO2, where \u22120.05\u2266u\u22660.50, x+y+z+t=1, 0.3\u2266x\u22660.95, 0.05\u2266y\u22660.55, 0\u2266z\u22660.4, 0\u2266t\u22660.1, and M is one or more additional element that is selected from among Mg, Ca, Al, Ti, V, Cr, Zr, Nb, Mo, Hf, Ta and W,\nthe secondary particles having a center section having solid or hollow structure, and at least a hollow section where there are no primary particles and an outer-shell section that is electrically connected to the center section on the outside of the center section;\nthe average value of the ratio of the center section outer diameter with respect to the particle size of the secondary particles being 30% to 80%, and the average value of the ratio of the outer-shell section radial direction thickness being 5% to 25%; and\nthe secondary particles having an average particle size of 1 \u03bcm to 15 \u03bcm, and an index [(d90\u2212d10)/average particle size] that indicates the extent of the particle size distribution of 0.7 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 \u03bcm to 15 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "average particle size" | |
| }, | |
| { | |
| "quantity": "0.7 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20160093885A1_16", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "17. Cathode active material for a non-aqueous electrolyte rechargeable battery comprising secondary particles that are formed by an aggregation of plural primary particles,\nthe cathode active material comprising layered hexagonal crystal lithium nickel manganese composite oxide particles that are expressed by the general expression (B): Li1+uNixMnyCozMtO2, where, \u22120.05\u2266u\u22660.50, x+y+z+t=1, 0.3\u2266x\u22660.95, 0.05\u2266y\u22660.55, 0\u2266z\u22660.4, 0\u2266t\u22660.1, and M is one or more additional element that is selected from among Mg, Ca, Al, Ti, V, Cr, Zr, Nb, Mo, Hf, Ta and W,\nthe secondary particles comprising a center section, and a hollow section where there are no primary particles, an outer-shell section that is electrically connected to the center section, and at least one inner-shell section between the hollow section and the outer-shell section on the outside of the center section; and\nthe secondary particles having an average particle size of 1 \u03bcm to 15 \u03bcm, and an index [(d90\u2212d10)/average particle size] that indicates the extent of the particle size distribution of 0.7 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 \u03bcm to 15 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "average particle size" | |
| }, | |
| { | |
| "quantity": "0.7 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20160093885A1_17", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "7. Transition metal composite hydroxide particles that are the precursor for cathode active material for a non-aqueous electrolyte rechargeable battery, comprising secondary particles that are formed by an aggregation of plate-shaped primary particles and fine primary particles that are smaller than the plate-shaped primary particles;\nthe secondary particles having a center section that is formed by an aggregation of the plate-shaped primary particles, and one layered structure of a low-density section that is formed by an aggregation of the fine primary particles and a high-density section that is formed by an aggregation of the plate-shaped primary particles on the outside of the center section;\nthe average value of the ratio of the center section outer diameter with respect to the particle size of the secondary particles being 30% to 80%, and the average value of the high-density section radial direction thickness with respect to the particle size of the secondary particles being 5% to 25%; and\nthe secondary particles having an average particle size of 1 \u03bcm to 15 \u03bcm, and an index [(d90\u2212d10)/average particle size] that indicates the extent of the particle size distribution of 0.65 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 \u03bcm to 15 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "average particle size" | |
| }, | |
| { | |
| "quantity": "0.65 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20160093885A1_7", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "8. Transition metal composite hydroxide particles that are the precursor for cathode active material for a non-aqueous electrolyte rechargeable battery, comprising secondary particles that are formed by an aggregation of plate-shaped primary particles and fine primary particles that are smaller than the plate-shaped primary particles;\nthe secondary particles having a center section that is formed by an aggregation of plate-shaped primary particles, and two or more layered structure of a low-density section that is formed by an aggregation of the fine primary particles and a high-density section that is formed by an aggregation of the plate-shaped primary particles on the outside of the center section; and\nthe secondary particles having an average particle size of 1 \u03bcm to 15 \u03bcm, and an index [(d90\u2212d10)/average particle size] that indicates the extent of the particle size distribution of 0.65 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 \u03bcm to 15 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "average particle size" | |
| }, | |
| { | |
| "quantity": "0.65 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20160093885A1_8", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "10. A method for preparing a transition-metal composite oxide, the method comprising:\nforming a first aqueous metal-salt solution with nickel, manganese, and cobalt;\nforming a second aqueous metal-salt solution with nickel, manganese, and cobalt;\nmixing a basic solution and an ammonia solution in a reactor to adjust pH of a reactant to 11.8 through 12.3; and\nsupplying a first mixed aqueous metal-salt solution, which is formed of the first aqueous metal-salt solution and the second aqueous metal-salt solution, and ammonia and basic solutions into the reactor,\nwherein a mixing ratio of the first aqueous metal-salt solution and the second aqueous metal-salt solution in the first mixed aqueous metal-salt solution is equal to or higher than 0 v % and equal to or higher than 100 v %.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "to 11.8 through 12.3", | |
| "unit": null, | |
| "measured_entity": "ammonia solution in a reactor", | |
| "measured_property": "pH" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20160190579A1_10", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "2. The method of claim 1, wherein the second step adjusts pH of a solution to be 11.8 through 12.3 in the reactor.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "11.8 through 12.3", | |
| "unit": null, | |
| "measured_entity": "the second step", | |
| "measured_property": "pH" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20160190579A1_2", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "4. The method of claim 1, wherein, through the first step to fourth step, D50 becomes equal to or less than 4 \u03bcm in a size distribution of particles formed after mixedly reacting the first-interior forming aqueous metal-salt solution, the chelating agent, and the basic solution in the reactor for 30 minutes.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "equal to or less than 4 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "D50", | |
| "measured_property": null | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20160190579A1_4", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The method of claim 1, further comprising a fifth step of drying or thermally treating a transition-metal composite oxide that is obtained from the first step through the fourth step, wherein an average particle diameter of the transition-metal composite oxide prepared by the fifth step is 5 to 10 \u03bcm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "5 to 10 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "transition-metal composite oxide", | |
| "measured_property": "average particle diameter" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20160190579A1_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The method for producing a positive active material for a lithium secondary battery according to claim 4, wherein the precursor has a tap density of 1.4 g/cc or more.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.4 g/cc", | |
| "unit": "g/cc", | |
| "measured_entity": "wherein the precursor has", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20160240846A1_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The precursor of transition metal oxide according to claim 1, wherein the precursor of transition metal oxide has a tap density of between 1.0 and 2.5 g/cc.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.0 and 2.5 g/cc", | |
| "unit": "g/cc", | |
| "measured_entity": "precursor of transition metal oxide", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20170294645A1_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "4. The composite transition metal oxide-based precursor of claim 3, wherein the primary particle has a flake-like or needle-like shape with an average particle diameter in a range of 0.01 to 0.8 \u03bcm, and a plurality of pore structures is present on the surface or inside thereof, and the secondary particle has an average particle diameter (D50) in a range of 3 to 30 \u03bcm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "a range of 0.01 to 0.8 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "primary particle", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "in a range of 3 to 30 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the secondary particle", | |
| "measured_property": "average particle diameter (D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20170317349A1_4", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The composite transition metal oxide-based precursor of claim 1, wherein the precursor has a tap density of 2.0 g/cc or more.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "2.0 g/cc", | |
| "unit": "g/cc", | |
| "measured_entity": "the precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20170317349A1_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. The composite transition metal oxide-based precursor of claim 1, wherein the precursor has a specific surface area in a range of 5 to 80 m2/g measured according to the nitrogen adsorption BET method.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in a range of 5 to 80 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "the precursor", | |
| "measured_property": "specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20170317349A1_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "7. The composite transition metal oxide-based precursor of claim 1, wherein in the precursor, a volume of pores in a range of 5 nm to 50 nm is in a range of 10\u22123to 10\u22122cm3/g\u00b7nm per weight of particles.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "in a range of 5 nm to 50 nm", | |
| "unit": "nm", | |
| "measured_entity": "the precursor", | |
| "measured_property": "volume of pores" | |
| }, | |
| { | |
| "quantity": "in a range of 10\u22123to 10\u22122cm3/g\u00b7nm", | |
| "unit": "cm3/g\u00b7nm", | |
| "measured_entity": "the precursor", | |
| "measured_property": "volume of pores" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20170317349A1_7", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "1. A production method for producing transition metal composite hydroxide particles by a crystallization reaction to be a precursor for a cathode active material for a non-aqueous electrolyte rechargeable battery, comprising:\na nucleation process for performing nucleation by controlling an aqueous solution for nucleation that includes a metal compound that includes at least a transition metal and an ammonium ion donor so that the pH value at a standard liquid temperature of 25\u00b0 C. becomes 12.0 to 14.0; and\na particle growth process for causing nuclei to grow by controlling an aqueous solution for particle growth that includes the nuclei that were obtained in the nucleation process so that the pH value is less than in the nucleation process and is 10.5 to 12.0;\nthe reaction atmosphere in the nucleation process and at the beginning of the particle growth process being a non-oxidizing atmosphere in which an oxygen concentration is 5% by volume or less; and\nin the particle growth process, atmosphere control by which the reaction atmosphere is switched from the non-oxidizing atmosphere to an oxidizing atmosphere in which the oxygen concentration is greater than 5% by volume at timing from the start of the particle growth process within a range of 5% to 35% of the overall particle growth process time, and is then switched from the oxidizing atmosphere to a non-oxidizing atmosphere in which the oxygen concentration is 5% by volume or less so that the crystallization time in the oxidizing atmosphere in the particle growth process is 3% to 20% of the overall particle growth process time being performed at least one time.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "12.0 to 14.0", | |
| "unit": null, | |
| "measured_entity": "a nucleation process", | |
| "measured_property": "the pH value" | |
| }, | |
| { | |
| "quantity": "10.5 to 12.0", | |
| "unit": null, | |
| "measured_entity": "a particle growth process", | |
| "measured_property": "the pH value" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20180254481A2_1", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "16. Cathode active material for a non-aqueous electrolyte rechargeable battery comprising secondary particles that are formed by an aggregation of plural primary particles,\nthe cathode active material comprising layered hexagonal crystal lithium nickel manganese composite oxide particles that are expressed by the general expression (B): Li1+uNixMnyCozMtO2, where \u22120.05\u2264u\u22640.50, x+y+z+t=1, 0.3\u2264x\u22640.95, 0.05\u2264y\u22640.55, 0\u2264z\u22640.4, 0\u2264t\u22640.1, and M is one or more additional element that is selected from among Mg, Ca, Al, Ti, V, Cr, Zr, Nb, Mo, Hf, Ta and W,\nthe secondary particles having a center section having solid or hollow structure, and at least a hollow section where there are no primary particles and an outer-shell section that is electrically connected to the center section on the outside of the center section;\nthe average value of the ratio of the center section outer diameter with respect to the particle size of the secondary particles being 30% to 80%, and the average value of the ratio of the outer-shell section radial direction thickness being 5% to 25%; and\nthe secondary particles having an average particle size of 1 \u03bcm to 15 \u03bcm, and an index [(d90-d10)/average particle size] that indicates the extent of the particle size distribution of 0.7 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 \u03bcm to 15 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "an average particle size" | |
| }, | |
| { | |
| "quantity": "0.7 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20180254481A2_16", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "17. Cathode active material for a non-aqueous electrolyte rechargeable battery comprising secondary particles that are formed by an aggregation of plural primary particles,\nthe cathode active material comprising layered hexagonal crystal lithium nickel manganese composite oxide particles that are expressed by the general expression (B): Li1+uNixMnyCozMtO2, where, \u22120.05\u2264u\u22640.50, x+y+z+t=1, 0.3\u2264x\u22640.95, 0.05\u2264y\u22640.55, 0\u2264z\u22640.4, 0\u2264t\u22640.1, and M is one or more additional element that is selected from among Mg, Ca, Al, Ti, V, Cr, Zr, Nb, Mo, Hf, Ta and W,\nthe secondary particles comprising a center section, and a hollow section where there are no primary particles, an outer-shell section that is electrically connected to the center section, and at least one inner-shell section between the hollow section and the outer-shell section on the outside of the center section; and\nthe secondary particles having an average particle size of 1 \u03bcm to 15 \u03bcm, and an index [(d90-d10)/average particle size] that indicates the extent of the particle size distribution of 0.7 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 \u03bcm to 15 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "average particle size" | |
| }, | |
| { | |
| "quantity": "0.7 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20180254481A2_17", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "19. The cathode active material for a non-aqueous electrolyte rechargeable battery according to claim 16, wherein the specific surface area is 0.7 m2/g to 3.0 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "0.7 m2/g to 3.0 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "cathode active material", | |
| "measured_property": "specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20180254481A2_19", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "7. Transition metal composite hydroxide particles that are the precursor for cathode active material for a non-aqueous electrolyte rechargeable battery, comprising secondary particles that are formed by an aggregation of plate-shaped primary particles and fine primary particles that are smaller than the plate-shaped primary particles;\nthe secondary particles having a center section that is formed by an aggregation of the plate-shaped primary particles, and one layered structure of a low-density section that is formed by an aggregation of the fine primary particles and a high-density section that is formed by an aggregation of the plate-shaped primary particles on the outside of the center section;\nthe average value of the ratio of the center section outer diameter with respect to the particle size of the secondary particles being 30% to 80%, and the average value of the high-density section radial direction thickness with respect to the particle size of the secondary particles being 5% to 25%; and\nthe secondary particles having an average particle size of 1 \u03bcm to 15 \u03bcm, and an index [(d90-d10)/average particle size] that indicates the extent of the particle size distribution of 0.65 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 \u03bcm to 15 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "an average particle size" | |
| }, | |
| { | |
| "quantity": "of 0.65 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20180254481A2_7", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "8. Transition metal composite hydroxide particles that are the precursor for cathode active material for a non-aqueous electrolyte rechargeable battery, comprising secondary particles that are formed by an aggregation of plate-shaped primary particles and fine primary particles that are smaller than the plate-shaped primary particles;\nthe secondary particles having a center section that is formed by an aggregation of plate-shaped primary particles, and two or more layered structure of a low-density section that is formed by an aggregation of the fine primary particles and a high-density section that is formed by an aggregation of the plate-shaped primary particles on the outside of the center section; and\nthe secondary particles having an average particle size of 1 \u03bcm to 15 \u03bcm, and an index [(d90-d10)/average particle size] that indicates the extent of the particle size distribution of 0.65 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 \u03bcm to 15 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "an average particle size" | |
| }, | |
| { | |
| "quantity": "0.65 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "the particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20180254481A2_8", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "10. The positive electrode active material for a secondary battery of claim 8, which has tap density of 1.7 g/cc to 3.0 g/cc.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.7 g/cc to 3.0 g/cc", | |
| "unit": "g/cc", | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190020022A1_10", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The precursor of a positive electrode active material for a secondary battery of claim 1, which has an average particle diameter (D50) of 7 \u03bcm to 20 \u03bcm and a BET specific surface area of 5.0 m2/g to 30.0 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "7 \u03bcm to 20 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "precursor of a positive electrode active material", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "5.0 m2/g to 30.0 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "precursor of a positive electrode active material", | |
| "measured_property": "BET specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190020022A1_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. A method for preparing the precursor of a positive electrode active material for a secondary battery of claim 1, the method comprising:\npreparing a metal-containing solution by mixing a nickel raw material, a cobalt raw material and a manganese raw material; and\nand introducing an ammonium cation-containing complex forming agent and a basic compound to the metal-containing solution and co-precipitation reacting the result under a pH of 10.50 to 12.00 and a temperature of 50\u00b0 C. to 70\u00b0 C.,\nwherein the ammonium cation-containing complex forming agent is introduced at a rate of 0.5 times to 1.5 times with respect to an introduction rate of the metal-containing solution.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "10.50 to 12.00", | |
| "unit": null, | |
| "measured_entity": "pH", | |
| "measured_property": null | |
| }, | |
| { | |
| "quantity": "50\u00b0 C. to 70\u00b0 C", | |
| "unit": "\u00b0 C", | |
| "measured_entity": "temperature", | |
| "measured_property": null | |
| }, | |
| { | |
| "quantity": "0.5 times to 1.5 times with respect to an introduction rate of the metal-containing solution", | |
| "unit": null, | |
| "measured_entity": "ammonium", | |
| "measured_property": "at a rate" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190020022A1_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "7. The method for preparing the precursor of a positive electrode active material for a secondary battery of claim 6, wherein the ammonium cation-containing complex forming agent and the basic compound are used in a molar ratio of 1:10 to 1:2.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "molar ratio", | |
| "unit": "molar ratio", | |
| "measured_entity": "ammonium", | |
| "measured_property": "compound" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190020022A1_7", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "9. The positive electrode active material for a secondary battery of claim 8, which has an average particle diameter of 7 \u03bcm to 15 \u03bcm and a BET specific surface area of 0.1 m2/g to 1.0 m2/g.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "7 \u03bcm to 15 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "average particle diameter" | |
| }, | |
| { | |
| "quantity": "0.1 m2/g to 1.0 m2/g", | |
| "unit": "m2/g", | |
| "measured_entity": "positive electrode active material", | |
| "measured_property": "BET specific surface area" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190020022A1_9", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "11. The active material of claim 1, wherein the active material precursor is obtained by a method comprising:\nmixing a nickel precursor, a manganese precursor, a cobalt precursor, a metal (M) precursor, and a solvent to prepare a precursor mixture; and\nmixing the precursor mixture and a pH adjusting agent to adjust a pH value of the resultant to be in a range of about 11.0 to about 11.2.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "range of about 11.0 to about 11.2", | |
| "unit": null, | |
| "measured_entity": "pH", | |
| "measured_property": null | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190359498A1_11", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "4. The active material precursor of claim 1, wherein a tap density of the active material precursor is about 1.95 g/ml or lower.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.95 g/ml", | |
| "unit": "g/ml", | |
| "measured_entity": "active material precursor", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190359498A1_4", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "13. A positive electrode active material for a non-aqueous electrolyte secondary battery which includes secondary particles formed by aggregates of a plurality of primary particles and having a tap density of 1.5 g/cm3or more and a surface roughness index which is a value in which the measured specific surface area of the secondary particles is divided by the geometric surface area of the secondary particles when the secondary particles are assumed to be true sphere is within a range of 3.6 to 10.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1.5 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "plurality of primary particles", | |
| "measured_property": "tap density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190379043A1_13", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "14. The positive electrode active material for a non-aqueous electrolyte secondary battery according to claim 13, wherein the average particle size of the secondary particles is within a range of 1 \u03bcm to 15 \u03bcm, and the value of [(d90\u2212d10)/average particle size], which is an index indicating the spread of the particle size distribution of the secondary particles, is 0.7 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "a range of 1 \u03bcm to 15 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "average particle size" | |
| }, | |
| { | |
| "quantity": "0.7 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190379043A1_14", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The transition metal composite hydroxide according to claim 1, wherein the average particle size of the plate-shaped primary particles is within a range of 0.3 \u03bcm to 3 \u03bcm, and the average particle size of the fine primary particles is within a range of 0.01 \u03bcm to 0.3 \u03bcm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "0.3 \u03bcm to 3 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "plate-shaped primary particles", | |
| "measured_property": "average particle size" | |
| }, | |
| { | |
| "quantity": "0.01 \u03bcm to 0.3 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "fine primary particles", | |
| "measured_property": "average particle size" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190379043A1_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. The transition metal composite hydroxide according to claim 1, wherein the average particle size of the secondary particles is within a range of 1 \u03bcm to 15 \u03bcm to, and the value of [(d90\u2212d10)/average particle size], which is an index that represents the spread of the particle size distribution of the secondary particles, is 0.65 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 \u03bcm to 15 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "average particle size" | |
| }, | |
| { | |
| "quantity": "0.65 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190379043A1_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "9. A method for manufacturing a transition metal composite hydroxide, wherein the method is for manufacturing a transition metal composite hydroxide which is a precursor of the positive electrode active material for a non-aqueous electrolyte secondary battery by mixing a raw material aqueous solution including at least a transition metal element and an aqueous solution including an ammonium ion donor to form a reaction aqueous solution, and performing a crystallization reaction, the method is characterized in comprising:\na nucleation step in which nucleation is performed in a non-oxidizing atmosphere having an oxygen concentration of 5% by volume or less in which the pH value of the reaction aqueous solution at a standard liquid temperature of 25\u00b0 C. is adjusted to be within a range of 12.0 to 14.0; and\na particle growth step in which at a standard liquid temperature 25\u00b0 C. the pH value of the reaction aqueous solution including the nuclei obtained in the nucleation step is adjusted to be lower than the pH value of the nucleation step and to be within a range of 10.5 to 12.0 so as to grow the nuclei; wherein\nan atmosphere control is performed such that the non-oxidizing atmosphere is maintained in the early period and the middle period of the particle growth step which is in a range of 70% to 90% of time from the initiation of the particle growth step with respect to the entire period of the particle growth step, and in the latter period of the particle growth step, the non-oxidizing atmosphere is switched to the oxidizing atmosphere where the oxygen concentration exceeds 5% by volume, and then the oxidizing atmosphere is switched to the non-oxidizing atmosphere again.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "25\u00b0 C", | |
| "unit": "\u00b0 C", | |
| "measured_entity": "of the reaction aqueous solution", | |
| "measured_property": "liquid temperature" | |
| }, | |
| { | |
| "quantity": "a range of 12.0 to 14.0", | |
| "unit": null, | |
| "measured_entity": "of the reaction aqueous solution", | |
| "measured_property": "pH value" | |
| }, | |
| { | |
| "quantity": "25\u00b0 C", | |
| "unit": null, | |
| "measured_entity": "liquid temperature", | |
| "measured_property": null | |
| }, | |
| { | |
| "quantity": "a range of 10.5 to 12.0", | |
| "unit": null, | |
| "measured_entity": "reaction aqueous solution", | |
| "measured_property": "pH value" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190379043A1_9", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "1. A carbonate precursor compound for manufacturing a lithium metal (M)-oxide powder usable as an active positive electrode material in lithium-ion batteries, M comprising 20 to 90 mol % Ni, 10 to 70 mol % Mn and 10 to 40 mol % Co, the precursor further comprising a sodium and sulfur impurity, wherein the sodium to sulfur molar ratio (Na/S) is 0.4<Na/S<2, and wherein the sum (2*Na<sub>wt</sub>)+S<sub>wt </sub>of the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content expressed in wt % is more than 0.4 wt % and less than 1.6 wt %.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "is more than 0.4 wt %", | |
| "unit": "wt %", | |
| "measured_entity": "sodium and sulfur impurity", | |
| "measured_property": "(2*Na<sub>wt</sub>)+S<sub>wt </sub>of the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190386303A1_1", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "11. The method according to claim 7, wherein the concentration of NH3in the reactor is less than 5.0 g/L.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "less than 5.0 g/L", | |
| "unit": "g/L", | |
| "measured_entity": "NH3in the reactor", | |
| "measured_property": "concentration" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190386303A1_11", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "14. The method according to claim 7, wherein the seeds have a median particle size D50 between 0.1 and 3 \u03bcm.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "between 0.1 and 3 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "seeds", | |
| "measured_property": "median particle size D50" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190386303A1_14", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "15. A method for preparing the carbonate precursor compound of claim 2, comprising:\nproviding a feed solution comprising Ni-, Mn- and Co-ions, and a source of A, wherein the Ni-, Mn-, Co- and A-ions are present in a water soluble sulfate compound,\nproviding an ionic solution comprising a carbonate solution and Na-ions, wherein the CO<sub>3</sub>/SO<sub>4 </sub>rate is selected so as to obtain a Na/S molar ratio with 0.4<Na/S<2 and the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content expressed in wt % yield a sum (2*Na<sub>wt</sub>)+S<sub>wt </sub>of more than 0.4 wt % and less than 1.6 wt %,\nproviding a slurry comprising seeds comprising M\u2032-ions, wherein M\u2032=NixMnyCozA\u2032n,\nA\u2032 being a dopant, with 0\u2264x\u2032\u22641, 0\u2264y\u2032\u22641, 0\u2264z\u2032\u22641, 0\u2264n\u2032\u22641 and x\u2032+y\u2032+z\u2032+n\u2032=1,\nmixing the feed solution, the ionic solution and the slurry in the reactor, thereby obtaining a reactive liquid mixture,\nprecipitating a carbonate onto the seeds in the reactive liquid mixture, thereby obtaining a reacted liquid mixture and the carbonate precursor, and\nseparating the carbonate precursor from the reacted liquid mixture.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "0.4<Na/S<2", | |
| "unit": null, | |
| "measured_entity": "Na/S molar ratio", | |
| "measured_property": null | |
| }, | |
| { | |
| "quantity": "more than 0.4 wt % and less than 1.6 wt %", | |
| "unit": "wt %", | |
| "measured_entity": "the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content", | |
| "measured_property": null | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190386303A1_15", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The carbonate precursor compound of claim 1, wherein the sodium content is between 0.1 and 0.7 wt %, and the sulfur content is between 0.2 and 0.9 wt %.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "is between 0.1 and 0.7 wt %", | |
| "unit": "wt %", | |
| "measured_entity": "carbonate precursor", | |
| "measured_property": "sodium content" | |
| }, | |
| { | |
| "quantity": "is between 0.2 and 0.9 wt %", | |
| "unit": "wt %", | |
| "measured_entity": "carbonate precursor", | |
| "measured_property": "sulfur content" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190386303A1_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. A lithium metal oxide powder for a positive electrode material in a rechargeable battery, having the general formula Li<sub>1+a</sub>M<sub>1\u2212a</sub>O<sub>2 </sub>where M=Ni<sub>x</sub>Mn<sub>y</sub>Co<sub>z</sub>A<sub>v</sub>, A being a dopant, wherein 0.10\u2264a<0.25, 0.10\u2264x<0.30, 0.55\u2264y\u22640.80, and 0<z\u22640.30, v\u22640.05, and x+y+z+v=1, the powder having a particle size distribution with 10 \u03bcm\u2264D50\u226420 \u03bcm, a specific surface with 0.9\u2264BET\u22645, the BET being expressed in m<sup>2</sup>/g, the powder further comprising a sodium and sulfur impurity, wherein the sum (2*Na<sub>wt</sub>)+S<sub>wt </sub>of the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content expressed in wt % is more than 0.4 wt % and less than 1.6 wt %, and wherein the sodium to sulfur molar ratio (Na/S) is 0.4<Na/S<2.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "10 \u03bcm\u2264D50\u226420 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "powder", | |
| "measured_property": "particle size distribution" | |
| }, | |
| { | |
| "quantity": "0.9\u2264BET\u22645, the BET being expressed in m<sup>2</sup>/g", | |
| "unit": "m<sup>2</sup>/g", | |
| "measured_entity": "powder", | |
| "measured_property": "specific surface" | |
| }, | |
| { | |
| "quantity": "is more than 0.4 wt % and less than 1.6 wt %", | |
| "unit": "wt %", | |
| "measured_entity": "sodium and sulfur impurity", | |
| "measured_property": "the sum (2*Na<sub>wt</sub>)+S<sub>wt </sub>of the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190386303A1_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "7. A method for preparing a carbonate precursor compound according to claim 1, comprising:\nproviding a feed solution comprising Ni-, Mn- and Co-ions, and a source of A, wherein the Ni-, Mn-, Co- and A-ions are present in a water soluble sulfate compound,\nproviding an ionic solution comprising a carbonate solution and Na-ions, wherein the CO<sub>3</sub>/SO<sub>4 </sub>rate is selected so as to obtain a Na/S molar ratio with 0.4<Na/S<2 and the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content expressed in wt % yield a sum (2*Na<sub>wt</sub>)+S<sub>wt </sub>of more than 0.4 wt % and less than 1.6 wt %,\nproviding a slurry comprising seeds comprising M\u2032-ions, wherein M\u2032=NixMnyCozA\u2032n,\nA\u2032 being a dopant, with 0\u2264x\u2032\u22641, 0\u2264y\u2032\u22641, 0\u2264z\u2032\u22641, 0\u2264n\u2032\u22641 and x\u2032+y\u2032+z\u2032+n\u2032=1,\nmixing the feed solution, the ionic solution and the slurry in the reactor, thereby obtaining a reactive liquid mixture,\nprecipitating a carbonate onto the seeds in the reactive liquid mixture, thereby obtaining a reacted liquid mixture and the carbonate precursor, and\nseparating the carbonate precursor from the reacted liquid mixture.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "0.4<Na/S<2", | |
| "unit": null, | |
| "measured_entity": "Na/S molar ratio", | |
| "measured_property": null | |
| }, | |
| { | |
| "quantity": "of more than 0.4 wt % and less than 1.6 wt %", | |
| "unit": "wt %", | |
| "measured_entity": "the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content", | |
| "measured_property": null | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20190386303A1_7", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "What is claimed is:\n1. A production method for producing transition metal composite hydroxide particles by a crystallization reaction to be a precursor for a cathode active material for a non-aqueous electrolyte rechargeable battery, comprising:\na nucleation process for performing nucleation by controlling an aqueous solution for nucleation that includes a metal compound that includes at least a transition metal and an ammonium ion donor so that the pH value at a standard liquid temperature of 25\u00b0 C. becomes 12.0 to 14.0; and\na particle growth process for causing nuclei to grow by controlling an aqueous solution for particle growth that includes the nuclei that were obtained in the nucleation process so that the pH value is less than in the nucleation process and is 10.5 to 12.0;\nthe reaction atmosphere in the nucleation process and at the beginning of the particle growth process being a non-oxidizing atmosphere in which an oxygen concentration is 5% by volume or less; and\nin the particle growth process, atmosphere control by which the reaction atmosphere is switched from the non-oxidizing atmosphere to an oxidizing atmosphere in which the oxygen concentration is greater than 5% by volume at timing from the start of the particle growth process within a range of 5% to 35% of the overall particle growth process time, and is then switched from the oxidizing atmosphere to a non-oxidizing atmosphere in which the oxygen concentration is 5% by volume or less so that the crystallization time in the oxidizing atmosphere in the particle growth process is 3% to 20% of the overall particle growth process time being performed at least one time.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "12.0 to 14.0", | |
| "unit": null, | |
| "measured_entity": "nucleation process", | |
| "measured_property": "pH" | |
| }, | |
| { | |
| "quantity": "less than in the nucleation process and is 10.5 to 12.0", | |
| "unit": null, | |
| "measured_entity": "particle growth process", | |
| "measured_property": "pH" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20200006770A1_1", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "2. A production method for producing transition metal composite hydroxide particles by a crystallization reaction to be a precursor for a cathode active material for a non-aqueous electrolyte rechargeable battery, comprising:\na nucleation process for performing nucleation by controlling an aqueous solution for nucleation that includes a metal compound that includes at least a transition metal and an ammonium ion donor so that the pH value at a standard liquid temperature of 25\u00b0 C. becomes 12.0 to 14.0; and\na particle growth process for causing nuclei to grow by controlling an aqueous solution for particle growth that includes the nuclei that were obtained in the nucleation process so that the pH value is less than in the nucleation process and is 10.5 to 12.0;\nthe reaction atmosphere in the nucleation process and at the beginning of the particle growth process being a non-oxidizing atmosphere in which the oxygen concentration is 5% by volume or less;\nin the particle growth process, atmosphere control by which the reaction atmosphere is switched from the non-oxidizing atmosphere to an oxidizing atmosphere in which the oxygen concentration is greater than 5% by volume, and is then switched from that oxidizing atmosphere to a non-oxidizing atmosphere in which the oxygen concentration is 5% by volume or less being performed two times or more; and\nthe total crystallization reaction time in the oxidizing atmosphere in the particle growth process being 3% to 30% of the total particle growth process time, and the crystallization reaction time during each oxidizing atmosphere being 1% or more of the total particle growth process time.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "12.0 to 14.0", | |
| "unit": null, | |
| "measured_entity": "nucleation process", | |
| "measured_property": "pH" | |
| }, | |
| { | |
| "quantity": "less than in the nucleation process and is 10.5 to 12.0", | |
| "unit": null, | |
| "measured_entity": "particle growth process", | |
| "measured_property": "pH" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20200006770A1_2", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "6. Transition metal composite hydroxide particles that are the precursor for cathode active material for a non-aqueous electrolyte rechargeable battery, comprising secondary particles that are formed by an aggregation of plate-shaped primary particles and fine primary particles that are smaller than the plate-shaped primary particles;\nthe secondary particles having a center section that is formed by an aggregation of the plate-shaped primary particles, and one layered structure of a low-density section that is formed by an aggregation of the fine primary particles and a high-density section that is formed by an aggregation of the plate-shaped primary particles on the outside of the center section;\nthe average value of the ratio of the center section outer diameter with respect to the particle size of the secondary particles being 30% to 80%, and the average value of the high-density section radial direction thickness with respect to the particle size of the secondary particles being 5% to 25%; and\nthe secondary particles having an average particle size of 1 \u03bcm to 15 \u03bcm, and an index [(d90\u2212d10)/average particle size] that indicates the extent of the particle size distribution of 0.65 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 \u03bcm to 15 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "average particle size" | |
| }, | |
| { | |
| "quantity": "0.65 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20200006770A1_6", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "7. Transition metal composite hydroxide particles that are the precursor for cathode active material for a non-aqueous electrolyte rechargeable battery, comprising secondary particles that are formed by an aggregation of plate-shaped primary particles and fine primary particles that are smaller than the plate-shaped primary particles;\nthe secondary particles having a center section that is formed by an aggregation of plate-shaped primary particles, and two or more layered structure of a low-density section that is formed by an aggregation of the fine primary particles and a high-density section that is formed by an aggregation of the plate-shaped primary particles on the outside of the center section; and\nthe secondary particles having an average particle size of 1 \u03bcm to 15 \u03bcm, and an index [(d90\u2212d10)/average particle size] that indicates the extent of the particle size distribution of 0.65 or less.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "1 \u03bcm to 15 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "average particle size" | |
| }, | |
| { | |
| "quantity": "0.65 or less", | |
| "unit": null, | |
| "measured_entity": "the secondary particles", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20200006770A1_7", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "4. The method of claim 1, wherein, when an average particle diameter (D50) of the transition metal precursor is in a range of 5 \u03bcm to 10 \u03bcm, the temperature of the first temperature holding section is in the range of 400\u00b0 C. to 600\u00b0 C.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "a range of 5 \u03bcm to 10 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the transition metal precursor", | |
| "measured_property": "average particle diameter (D50" | |
| }, | |
| { | |
| "quantity": "in the range of 400\u00b0 C. to 600\u00b0 C", | |
| "unit": "\u00b0 C", | |
| "measured_entity": "the first temperature holding section", | |
| "measured_property": "temperature" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20200313194A1_4", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "5. The method of claim 1, wherein an average particle diameter (D50) of the transition metal precursor is greater than 10 \u03bcm, the temperature of the first temperature holding section is in the range of 500\u00b0 C. to 650\u00b0 C.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "greater than 10 \u03bcm", | |
| "unit": "\u03bcm", | |
| "measured_entity": "the transition metal precursor", | |
| "measured_property": "average particle diameter (D50" | |
| }, | |
| { | |
| "quantity": "in the range of 500\u00b0 C. to 650\u00b0 C", | |
| "unit": "\u00b0 C", | |
| "measured_entity": "the first temperature holding section", | |
| "measured_property": "temperature" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "US20200313194A1_5", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "12. Pulverulent compound according to at least one of Claims 1 to 11, characterized in that the normalized width of the particle size distribution, measured according to the Formula (1) D90 -DlO D50 in which D denotes the diameter of the secondary particles, is less than 1.4.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "less than 1.4", | |
| "unit": null, | |
| "measured_entity": "Pulverulent compound", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "WO2008043558A1_12", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "13. Pulverulent compound according to at least one of Claims 1 to 11, characterized in that the normalized width of the particle size distribution, measured according to the Formula (1) D90 -DlO 1) D50 in which D denotes the diameter of the secondary particles, is less than 1.2.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "less than 1.2", | |
| "unit": null, | |
| "measured_entity": "Pulverulent compound", | |
| "measured_property": "particle size distribution" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "WO2008043558A1_13", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "14. Pulverulent compound according to at least one of Claims 1 to 13, characterized in that it has a compressed density of at least 3.2 g/cm3at a compression pressure of 200 MPa.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "3.2 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "Pulverulent compound", | |
| "measured_property": "compressed density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "WO2008043558A1_14", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "15. Pulverulent compound according to at least one of Claims 1 to 14, characterized in that it has a tapped density measured according to ASTM B 527, of at least 2.2 g/cm3.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "at least 2.2 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "Pulverulent compound", | |
| "measured_property": "tapped density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "WO2008043558A1_15", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "16. Pulverulent compound according to at least one of Claims 1 to 14, characterized in that it has a tapped density measured according to ASTM B 527, of at least 2.4 g/cm3.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "at least 2.4 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "Pulverulent compound", | |
| "measured_property": "tapped density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "WO2008043558A1_16", | |
| "dataset": "bm" | |
| }, | |
| { | |
| "instruction": "\n You are an expert at extracting quantity, units and their related context from text. \n Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n ", | |
| "paragraph": "3. The cathode material of claim 2, having a pressed density equal to or greater than 3.7 g/cm3.", | |
| "measurement_extractions": [ | |
| { | |
| "quantity": "equal to or greater than 3.7 g/cm3", | |
| "unit": "g/cm3", | |
| "measured_entity": "The cathode material", | |
| "measured_property": "pressed density" | |
| } | |
| ], | |
| "split": "train", | |
| "docId": "WO2020128714A1_3", | |
| "dataset": "bm" | |
| } | |
| ] |