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coqa_expanded / coqa_expanded.py

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	"""TODO(coqa): Add a description here."""


	import json

	import datasets


	# TODO(coqa): BibTeX citation
	_CITATION = """\\n@InProceedings{SivaAndAl:Coca,
	author = {Siva, Reddy and Danqi, Chen and Christopher D., Manning},
	title = {WikiQA: A Challenge Dataset for Open-Domain Question Answering},
	journal = { arXiv},
	year = {2018},

	}
	"""

	# TODO(coqa):
	_DESCRIPTION = """\\nCoQA: A Conversational Question Answering Challenge
	"""

	_TRAIN_DATA_URL = "https://nlp.stanford.edu/data/coqa/coqa-train-v1.0.json"
	_DEV_DATA_URL = "https://nlp.stanford.edu/data/coqa/coqa-dev-v1.0.json"


	class Coqa(datasets.GeneratorBasedBuilder):
	"""TODO(coqa): Short description of my dataset."""

	# TODO(coqa): Set up version.
	VERSION = datasets.Version("1.0.0")

	def _info(self):
	# TODO(coqa): Specifies the datasets.DatasetInfo object
	return datasets.DatasetInfo(
	# This is the description that will appear on the datasets page.
	description=_DESCRIPTION,
	# datasets.features.FeatureConnectors
	features=datasets.Features(
	{
	"source": datasets.Value("string"),
	"story": datasets.Value("string"),
	"question": datasets.Value("string"),
	"answer":
	{
	"input_text": datasets.Value("string"),
	"answer_start": datasets.Value("int32"),
	"answer_end": datasets.Value("int32"),
	}
	,
	}
	),
	# If there's a common (input, target) tuple from the features,
	# specify them here. They'll be used if as_supervised=True in
	# builder.as_dataset.
	supervised_keys=None,
	# Homepage of the dataset for documentation
	homepage="https://stanfordnlp.github.io/coqa/",
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	"""Returns SplitGenerators."""
	# TODO(coqa): Downloads the data and defines the splits
	# dl_manager is a datasets.download.DownloadManager that can be used to
	# download and extract URLs
	urls_to_download = {"train": _TRAIN_DATA_URL, "dev": _DEV_DATA_URL}
	downloaded_files = dl_manager.download_and_extract(urls_to_download)

	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"], "split": "train"}
	),
	datasets.SplitGenerator(
	name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"], "split": "validation"}
	),
	]

	def _generate_examples(self, filepath, split):
	"""Yields examples."""
	# TODO(coqa): Yields (key, example) tuples from the dataset
	_id = 0
	with open(filepath, encoding="utf-8") as f:
	data = json.load(f)
	for row in data["data"]:
	story = row["story"]
	source = row["source"]
	for i,answer in enumerate(row['answers']):
	question = row["questions"][i]["input_text"]
	yield _id, {
	"source": source,
	"story": story,
	"question": question ,
	"answer": {"input_text": answer["input_text"], "answer_start": answer["span_start"], "answer_end": answer["span_end"]},
	}
	_id += 1
	story += '\n\nQ: '+question+'\nA: '+answer["input_text"]