Datasets:
File size: 1,800 Bytes
47620ab b0dec8d 47620ab c8f8435 47620ab a28c737 47620ab c8f8435 98b56cf 27570d7 83884fc 927f55d 47620ab c8f8435 e2e0f48 2970c73 47620ab dea3355 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
import os
import datasets
import json
import pandas as pd
_CITATION = """\
"""
_DESCRIPTION = """\
CSAT-QA
"""
_HOMEPAGE = "https://huggingface.co/HAERAE-HUB"
_LICENSE = "Proprietary"
split_names = ["all","WR", "GR", "RCS", "RCSS", "RCH", "LI"]
class CSATQAConfig(datasets.BuilderConfig):
def __init__(self, **kwargs):
super().__init__(version=datasets.Version("1.0.0"), **kwargs)
class CSATQA(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
CSATQAConfig(
name=name,
)
for name in split_names
]
def _info(self):
features = datasets.Features(
{
"question": datasets.Value("string"),
"option#1": datasets.Value("string"),
"option#2": datasets.Value("string"),
"option#3": datasets.Value("string"),
"option#4": datasets.Value("string"),
"option#5": datasets.Value("string"),
"gold": datasets.Value("int8"),
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
train_path = dl_manager.download_and_extract("./data/csatqa_eval.json")
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": train_path,
},
),
]
def _generate_examples(self, filepath):
with open(filepath, encoding="utf-8") as f:
for key, row in enumerate(f):
data = json.loads(row)
yield key, data
|