Datasets:
File size: 2,037 Bytes
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import os
import json
import datasets
# TODO: Add description of the dataset here
# You can copy an official description
_DESCRIPTION = """20Q"""
# TODO: Add a link to an official homepage for the dataset here
_HOMEPAGE = ""
# TODO: Add the licence for the dataset here if you can find it
_LICENSE = ""
class NewDataset(datasets.GeneratorBasedBuilder):
"""TODO: Short description of my dataset."""
VERSION = datasets.Version("1.0.0")
def _info(self):
features = datasets.Features(
{
"subject": datasets.Value("string"),
"question": datasets.Value("string"),
"label": datasets.Value("bool"),
"label_fine_grained": datasets.Value("string")
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
license=_LICENSE,
citation="_CITATION",
)
def _split_generators(self, dl_manager):
data_dir = dl_manager.download_and_extract(["data/train.jsonl", "data/test.jsonl"])
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": data_dir[0],
"split": "train",
},
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"filepath": data_dir[1],
"split": "test"
},
),
]
def _generate_examples(self, filepath, split):
with open(filepath, encoding="utf-8") as f:
for key, row in enumerate(f):
data = json.loads(row)
yield key, {
"subject": data["subject"],
"question": data["question"],
"label": data["label"],
"label_fine_grained": data["label_fine_grained"]
}
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