Datasets:

jeopardy-datasets
/

jeopardy

Languages:

English

Dataset card Files Files and versions Community

jeopardy / jeopardy.py

system HF staff

Update files from the datasets library (from 1.17.0)

9d6002e over 2 years ago

raw history blame contribute delete

No virus

4.19 kB

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


	import json

	import datasets


	# TODO(jeopardy): BibTeX citation
	_CITATION = """
	"""

	# TODO(jeopardy):
	_DESCRIPTION = """
	Dataset containing 216,930 Jeopardy questions, answers and other data.

	The json file is an unordered list of questions where each question has
	'category' : the question category, e.g. "HISTORY"
	'value' : integer $ value of the question as string, e.g. "200"
	Note: This is "None" for Final Jeopardy! and Tiebreaker questions
	'question' : text of question
	Note: This sometimes contains hyperlinks and other things messy text such as when there's a picture or video question
	'answer' : text of answer
	'round' : one of "Jeopardy!","Double Jeopardy!","Final Jeopardy!" or "Tiebreaker"
	Note: Tiebreaker questions do happen but they're very rare (like once every 20 years)
	'show_number' : int of show number, e.g '4680'
	'air_date' : string of the show air date in format YYYY-MM-DD
	"""
	_URL = "https://www.reddit.com/r/datasets/comments/1uyd0t/200000_jeopardy_questions_in_a_json_file/"
	_DATA_URL = "https://drive.google.com/uc?export=download&id=0BwT5wj_P7BKXb2hfM3d2RHU1ckE"
	_DATA_FILE = "JEOPARDY_QUESTIONS1.json"


	class Jeopardy(datasets.GeneratorBasedBuilder):
	"""TODO(jeopardy): Short description of my dataset."""

	# TODO(jeopardy): Set up version.
	VERSION = datasets.Version("0.1.0")

	def _info(self):
	# TODO(jeopardy): 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(
	{
	"category": datasets.Value("string"),
	"air_date": datasets.Value("string"),
	"question": datasets.Value("string"),
	"value": datasets.Value("int32"),
	"answer": datasets.Value("string"),
	"round": datasets.Value("string"),
	"show_number": datasets.Value("int32"),
	# These are the features of your dataset like images, labels ...
	}
	),
	# 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=_URL,
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	"""Returns SplitGenerators."""
	# TODO(jeopardy): Downloads the data and defines the splits
	# dl_manager is a datasets.download.DownloadManager that can be used to
	# download and extract URLs
	filepath = dl_manager.download_and_extract(_DATA_URL)

	return [
	datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": filepath}),
	]

	def _generate_examples(self, filepath):
	"""Yields examples."""
	# TODO(jeopardy): Yields (key, example) tuples from the dataset
	with open(filepath, encoding="utf-8") as f:
	data = json.load(f)
	for i, example in enumerate(data):
	category = example["category"]
	air_date = example["air_date"]
	question = example["question"]
	if example["value"] is None:
	value = -1 # for Final Jeopardy! and Tiebreaker questions
	else:
	value = int(example["value"][1:].replace(",", ""))
	answer = example["answer"]
	round = example["round"]
	show_number = int(example["show_number"])
	yield i, {
	"category": category,
	"air_date": air_date,
	"question": question,
	"value": value,
	"answer": answer,
	"round": round,
	"category": category,
	"show_number": show_number,
	}