Upload 2 files
Browse files- calculations.csv +21 -0
- calculations.py +24 -0
calculations.csv
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
id,title,context,question,answers
|
2 |
+
"calc1","one","1 x 1 = 1","what is 1 x 1?","1"
|
3 |
+
"calc2","two","1 x 2 = 2","what is 1 x 2?","2"
|
4 |
+
"calc3","one","1 x 3 = 3","what is 1 x 3?","3"
|
5 |
+
"calc4","two","1 x 4 = 4","what is 1 x 4?","4"
|
6 |
+
"calc5","one","1 x 5 = 5","what is 1 x 5?","5"
|
7 |
+
"calc6","two","1 x 6 = 6","what is 1 x 6?","6"
|
8 |
+
"calc7","one","1 x 7 = 7","what is 1 x 7?","7"
|
9 |
+
"calc8","two","1 x 8 = 8","what is 1 x 8?","8"
|
10 |
+
"calc9","one","1 x 9 = 9","what is 1 x 9?","9"
|
11 |
+
"calc10","two","1 x 10 = 10","what is 1 x 10?","10"
|
12 |
+
"calc11","one","2 x 1 = 2","what is 2 x 1?","2"
|
13 |
+
"calc12","two","2 x 2 = 4","what is 2 x 2?","4"
|
14 |
+
"calc13","one","2 x 3 = 6","what is 2 x 3?","6"
|
15 |
+
"calc14","two","2 x 4 = 8","what is 2 x 4?","8"
|
16 |
+
"calc15","one","2 x 5 = 10","what is 2 x 5?","10"
|
17 |
+
"calc16","two","2 x 6 = 12","what is 2 x 6?","12"
|
18 |
+
"calc17","one","2 x 7 = 14","what is 2 x 7?","14"
|
19 |
+
"calc18","two","2 x 8 = 16","what is 2 x 8?","16"
|
20 |
+
"calc19","one","2 x 9 = 18","what is 2 x 9?","18"
|
21 |
+
"calc20","two","2 x 10 = 20","what is 2 x 10?","20"
|
calculations.py
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
#calculations.py
|
2 |
+
from datasets import load_dataset
|
3 |
+
load_dataset("https://huggingface.co/datasets/Jornt/calculations")
|
4 |
+
|
5 |
+
def _info(self):
|
6 |
+
return datasets.DatasetInfo(
|
7 |
+
description=_DESCRIPTION,
|
8 |
+
features=datasets.Features(
|
9 |
+
{
|
10 |
+
"id": datasets.Value("string"),
|
11 |
+
"title": datasets.Value("string"),
|
12 |
+
"context": datasets.Value("string"),
|
13 |
+
"question": datasets.Value("string"),
|
14 |
+
"answers": datasets.features.Sequence(
|
15 |
+
{"text": datasets.Value("string"), "answer_start": datasets.Value("int32"),}
|
16 |
+
),
|
17 |
+
}
|
18 |
+
),
|
19 |
+
# No default supervised_keys (as we have to pass both question
|
20 |
+
# and context as input).
|
21 |
+
supervised_keys=None,
|
22 |
+
homepage="",
|
23 |
+
citation=_CITATION,
|
24 |
+
)
|