Datasets:

castorini
/

mr-tydi

	"""
	Loading script only for local Mr. Tydi. Used to generate the ir-format topic, qrels, folds locally.
	"""

	import os
	import json

	import datasets
	from dataclasses import dataclass

	_CITATION = '''
	@article{mrtydi,
	title={{Mr. TyDi}: A Multi-lingual Benchmark for Dense Retrieval},
	author={Xinyu Zhang and Xueguang Ma and Peng Shi and Jimmy Lin},
	year={2021},
	journal={arXiv:2108.08787},
	}
	'''

	languages = [
	'arabic',
	'bengali',
	'english',
	'indonesian',
	'finnish',
	'korean',
	'russian',
	'swahili',
	'telugu',
	'thai',
	'japanese',
	'combined',
	]

	dirname, abspath, os_join = os.path.dirname, os.path.abspath, os.path.join
	current_working_dir = os.getcwd()
	dataset_dir = current_working_dir

	_DESCRIPTION = 'local dataset load script for Mr. TyDi'

	_DATASET_LOCATIONS = {
	lang: {
	'train': os_join(dataset_dir, f'./mrtydi-v1.1-{lang}/train.jsonl.gz'),
	'dev': os_join(dataset_dir, f'./mrtydi-v1.1-{lang}/dev.jsonl.gz'),
	'test': os_join(dataset_dir, f'./mrtydi-v1.1-{lang}/test.jsonl.gz'),
	} for lang in languages
	}
	print(_DATASET_LOCATIONS)


	class LocalMrTyDi(datasets.GeneratorBasedBuilder):
	BUILDER_CONFIGS = [datasets.BuilderConfig(
	version=datasets.Version('1.1.0'),
	name=lang, description=f'Mr TyDi dataset in language {lang}.'
	) for lang in languages
	]

	def _info(self):
	features = datasets.Features({
	'query_id': datasets.Value('string'),
	'query': datasets.Value('string'),

	'positive_passages': [{
	'docid': datasets.Value('string'),
	'text': datasets.Value('string'), 'title': datasets.Value('string')
	}],
	'negative_passages': [{
	'docid': datasets.Value('string'),
	'text': datasets.Value('string'), 'title': datasets.Value('string'),
	}],
	})

	return datasets.DatasetInfo(
	# This is the description that will appear on the datasets page.
	description=_DESCRIPTION,
	# This defines the different columns of the dataset and their types
	features=features, # Here we define them above because they are different between the two configurations
	supervised_keys=None,
	# Homepage of the dataset for documentation
	# homepage='https://github.com/castorini/mr.tydi',
	# License for the dataset if available
	license='',
	# Citation for the dataset
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	lang = self.config.name
	downloaded_files = dl_manager.download_and_extract(_DATASET_LOCATIONS[lang])

	splits = [
	datasets.SplitGenerator(
	name='train',
	gen_kwargs={
	'filepath': downloaded_files['train'],
	},
	),
	datasets.SplitGenerator(
	name='dev',
	gen_kwargs={
	'filepath': downloaded_files['dev'],
	},
	),
	datasets.SplitGenerator(
	name='test',
	gen_kwargs={
	'filepath': downloaded_files['test'],
	},
	),
	]

	# splits = [
	# datasets.SplitGenerator(
	# name='train',
	# gen_kwargs={
	# 'filepath': downloaded_files['train'],
	# },
	# ),
	# ]
	return splits

	def _generate_examples(self, filepath):
	with open(filepath) as f:
	for i, line in enumerate(f):
	data = json.loads(line)
	for feature in ['negative_passages', 'positive_passages']:
	if data.get(feature) is None:
	data[feature] = []

	yield data['query_id'], data