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clips
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20Q

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Question Answering

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Twenty Questions

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20Q / 20Q.py

maximedb's picture

First version

6079ffc almost 2 years ago

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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"]
	}