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Datasets:
mstz
/
ozone

Tasks:
Tabular Classification
Modalities:
Tabular
Languages:
English
Size:
1K - 10K
Tags:
ozone
tabular_classification
binary_classification
Libraries:
Datasets
License:
Dataset card Data Studio Files Community
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  1. 1hr/ozone-train.parquet +3 -0
  2. 8hr/ozone-train.parquet +3 -0
  3. README.md +0 -32
  4. eighthr.data +0 -0
  5. onehr.data +0 -0
  6. ozone.py +0 -301
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README.md DELETED
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- ---
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- language:
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- - en
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- tags:
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- - ozone
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- - tabular_classification
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- - binary_classification
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- pretty_name: Ozone
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- size_categories:
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- - 1K<n<10K
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- task_categories: # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
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- - tabular-classification
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- configs:
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- - 8hr
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- - 1hr
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- ---
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- # Ozone
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- The [Ozone dataset](https://archive.ics.uci.edu/ml/datasets/Ozone) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
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-
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- # Configurations and tasks
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- | **Configuration** | **Task** | **Description** |
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- |-------------------|---------------------------|-------------------------|
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- | 8hr | Binary classification | Is there an ozone layer?|
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- | 1hr | Binary classification | Is there an ozone layer?|
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-
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-
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- # Usage
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- ```python
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- from datasets import load_dataset
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-
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- dataset = load_dataset("mstz/ozone", "8hr")["train"]
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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ozone.py DELETED
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- """Ozone: A Census Dataset"""
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-
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- from typing import List
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-
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- import datasets
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-
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- import pandas
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-
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-
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- VERSION = datasets.Version("1.0.0")
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- _BASE_FEATURE_NAMES = [
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- "Date",
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- "WSR0",
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- "WSR1",
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- "WSR2",
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- "WSR3",
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- "WSR4",
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- "WSR5",
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- "WSR6",
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- "WSR7",
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- "WSR8",
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- "WSR9",
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- "WSR10",
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- "WSR11",
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- "WSR12",
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- "WSR13",
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- "WSR14",
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- "WSR15",
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- "WSR16",
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- "WSR17",
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- "WSR18",
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- "WSR19",
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- "WSR20",
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- "WSR21",
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- "WSR22",
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- "WSR23",
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- "WSR_PK",
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- "WSR_AV",
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- "T0",
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- "T1",
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- "T2",
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- "T3",
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- "T4",
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- "T5",
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- "T6",
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- "T7",
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- "T8",
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- "T9",
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- "T10",
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- "T11",
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- "T12",
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- "T13",
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- "T14",
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- "T15",
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- "T16",
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- "T17",
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- "T18",
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- "T19",
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- "T20",
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- "T21",
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- "T22",
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- "T23",
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- "T_PK",
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- "T_AV",
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- "T85",
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- "RH85",
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- "U85",
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- "V85",
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- "HT85",
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- "T70",
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- "RH70",
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- "U70",
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- "V70",
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- "HT70",
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- "T50",
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- "RH50",
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- "U50",
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- "V50",
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- "HT50",
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- "KI",
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- "TT",
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- "SLP",
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- "SLP_",
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- "Precp",
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- "Class"
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- ]
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-
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- DESCRIPTION = "Ozone dataset from the UCI ML repository."
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- _HOMEPAGE = "https://archive.ics.uci.edu/ml/datasets/Ozone"
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- _URLS = ("https://archive.ics.uci.edu/ml/datasets/Ozone")
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- _CITATION = """
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- @misc{misc_ozone_level_detection_172,
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- author = {Zhang,Kun, Fan,Wei & Yuan,XiaoJing},
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- title = {{Ozone Level Detection}},
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- year = {2008},
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- howpublished = {UCI Machine Learning Repository},
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- note = {{DOI}: \\url{10.24432/C5NG6W}}
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- }"""
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-
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- # Dataset info
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- urls_per_split = {
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- "8hr": {"train": "https://huggingface.co/datasets/mstz/ozone/raw/main/eighthr.data"},
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- "1hr": {"train": "https://huggingface.co/datasets/mstz/ozone/raw/main/onehr.data"},
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- }
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- features_types_per_config = {
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- "8hr": {
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- "WSR0": datasets.Value("float64"),
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- "WSR1": datasets.Value("float64"),
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- "WSR2": datasets.Value("float64"),
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- "WSR3": datasets.Value("float64"),
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- "WSR4": datasets.Value("float64"),
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- "WSR5": datasets.Value("float64"),
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- "WSR6": datasets.Value("float64"),
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- "WSR7": datasets.Value("float64"),
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- "WSR8": datasets.Value("float64"),
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- "WSR9": datasets.Value("float64"),
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- "WSR10": datasets.Value("float64"),
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- "WSR11": datasets.Value("float64"),
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- "WSR12": datasets.Value("float64"),
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- "WSR13": datasets.Value("float64"),
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- "WSR14": datasets.Value("float64"),
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- "WSR15": datasets.Value("float64"),
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- "WSR16": datasets.Value("float64"),
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- "WSR17": datasets.Value("float64"),
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- "WSR18": datasets.Value("float64"),
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- "WSR19": datasets.Value("float64"),
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- "WSR20": datasets.Value("float64"),
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- "WSR21": datasets.Value("float64"),
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- "WSR22": datasets.Value("float64"),
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- "WSR23": datasets.Value("float64"),
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- "WSR_PK": datasets.Value("float64"),
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- "WSR_AV": datasets.Value("float64"),
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- "T0": datasets.Value("float64"),
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- "T1": datasets.Value("float64"),
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- "T2": datasets.Value("float64"),
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- "T3": datasets.Value("float64"),
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- "T4": datasets.Value("float64"),
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- "T5": datasets.Value("float64"),
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- "T6": datasets.Value("float64"),
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- "T7": datasets.Value("float64"),
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- "T20": datasets.Value("float64"),
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- "T21": datasets.Value("float64"),
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- "T22": datasets.Value("float64"),
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- "T23": datasets.Value("float64"),
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- "T_PK": datasets.Value("float64"),
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- "T_AV": datasets.Value("float64"),
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- "T85": datasets.Value("float64"),
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- "RH85": datasets.Value("float64"),
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- "U85": datasets.Value("float64"),
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- "V85": datasets.Value("float64"),
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- "HT85": datasets.Value("float64"),
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- "T70": datasets.Value("float64"),
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- "U70": datasets.Value("float64"),
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- "V70": datasets.Value("float64"),
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- "HT50": datasets.Value("float64"),
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- "KI": datasets.Value("float64"),
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- "TT": datasets.Value("float64"),
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- "SLP": datasets.Value("float64"),
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- "SLP_": datasets.Value("float64"),
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- "Precp": datasets.Value("float64"),
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- "Class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
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- },
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- "1hr": {
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- "WSR0": datasets.Value("float64"),
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- "WSR1": datasets.Value("float64"),
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- "WSR2": datasets.Value("float64"),
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- "WSR3": datasets.Value("float64"),
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- "WSR4": datasets.Value("float64"),
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- "WSR5": datasets.Value("float64"),
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- "WSR6": datasets.Value("float64"),
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- "WSR7": datasets.Value("float64"),
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- "WSR8": datasets.Value("float64"),
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- "WSR9": datasets.Value("float64"),
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- "WSR10": datasets.Value("float64"),
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- "WSR11": datasets.Value("float64"),
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- "WSR12": datasets.Value("float64"),
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- "WSR13": datasets.Value("float64"),
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- "WSR14": datasets.Value("float64"),
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- "WSR15": datasets.Value("float64"),
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- "WSR16": datasets.Value("float64"),
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- "WSR17": datasets.Value("float64"),
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- "WSR18": datasets.Value("float64"),
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- "WSR19": datasets.Value("float64"),
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- "WSR20": datasets.Value("float64"),
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- "WSR21": datasets.Value("float64"),
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- "WSR22": datasets.Value("float64"),
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- "WSR23": datasets.Value("float64"),
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- "WSR_PK": datasets.Value("float64"),
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- "WSR_AV": datasets.Value("float64"),
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- "T0": datasets.Value("float64"),
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- "T1": datasets.Value("float64"),
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- "T2": datasets.Value("float64"),
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- "T3": datasets.Value("float64"),
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- "T4": datasets.Value("float64"),
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- "T5": datasets.Value("float64"),
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- "T6": datasets.Value("float64"),
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- "T7": datasets.Value("float64"),
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- "T8": datasets.Value("float64"),
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- "T9": datasets.Value("float64"),
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- "T10": datasets.Value("float64"),
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- "T11": datasets.Value("float64"),
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- "T12": datasets.Value("float64"),
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- "T13": datasets.Value("float64"),
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- "T14": datasets.Value("float64"),
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- "T15": datasets.Value("float64"),
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- "T16": datasets.Value("float64"),
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- "T17": datasets.Value("float64"),
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- "T18": datasets.Value("float64"),
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- "T19": datasets.Value("float64"),
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- "T20": datasets.Value("float64"),
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- "T21": datasets.Value("float64"),
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- "T22": datasets.Value("float64"),
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- "T23": datasets.Value("float64"),
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- "T_PK": datasets.Value("float64"),
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- "T_AV": datasets.Value("float64"),
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- "T85": datasets.Value("float64"),
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- "RH85": datasets.Value("float64"),
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- "U85": datasets.Value("float64"),
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- "V85": datasets.Value("float64"),
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- "HT85": datasets.Value("float64"),
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- "T70": datasets.Value("float64"),
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- "RH70": datasets.Value("float64"),
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- "U70": datasets.Value("float64"),
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- "V70": datasets.Value("float64"),
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- "HT70": datasets.Value("float64"),
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- "T50": datasets.Value("float64"),
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- "RH50": datasets.Value("float64"),
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- "U50": datasets.Value("float64"),
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- "V50": datasets.Value("float64"),
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- "HT50": datasets.Value("float64"),
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- "KI": datasets.Value("float64"),
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- "TT": datasets.Value("float64"),
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- "SLP": datasets.Value("float64"),
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- "SLP_": datasets.Value("float64"),
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- "Precp": datasets.Value("float64"),
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- "Class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
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- },
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-
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- }
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- features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
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-
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-
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- class OzoneConfig(datasets.BuilderConfig):
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- def __init__(self, **kwargs):
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- super(OzoneConfig, self).__init__(version=VERSION, **kwargs)
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- self.features = features_per_config[kwargs["name"]]
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-
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-
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- class Ozone(datasets.GeneratorBasedBuilder):
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- # dataset versions
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- DEFAULT_CONFIG = "8hr"
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- BUILDER_CONFIGS = [
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- OzoneConfig(name="8hr",
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- description="Ozone for binary classification."),
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- OzoneConfig(name="1hr",
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- description="Ozone for binary classification.")
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- ]
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-
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-
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- def _info(self):
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- info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE,
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- features=features_per_config[self.config.name])
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-
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- return info
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-
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- def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
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- downloads = dl_manager.download_and_extract(urls_per_split)
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-
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- return [
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- datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads[self.config.name]["train"]})
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- ]
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-
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- def _generate_examples(self, filepath: str):
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- data = pandas.read_csv(filepath)
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- data.drop("Date", axis="columns", inplace=True)
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- data.loc[:, "Class"] = data.Class.astype(int)
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- data = data[~(data.isin(["?"]).any(axis=1))]
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- data = data.infer_objects()
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-
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- for row_id, row in data.iterrows():
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- data_row = dict(row)
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-
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- yield row_id, data_row