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neuclir-2022-hard-negatives / neuclir-2022-hard-negatives.py
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Create neuclir-2022-hard-negatives.py
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import datasets
_CITATION = '''@article{lawrie2023overview,
title={Overview of the TREC 2022 NeuCLIR track},
author={Lawrie, Dawn and MacAvaney, Sean and Mayfield, James and McNamee, Paul and Oard, Douglas W and Soldaini, Luca and Yang, Eugene},
journal={arXiv preprint arXiv:2304.12367},
year={2023}
}'''
_EVAL_SPLIT = "test"
_LANGUAGES = {
"fas": ["fas-Arab"],
"rus": ["rus-Cyrl"],
"zho": ["zho-Hans"],
}
_DESCRIPTION = 'Dataset load script for NeuCLIR2023 downsampled for MTEB'
_DATASET_URLS = {
lang: f'mteb/NeuCLIR2022Retrieval_{lang}_top_250_only_w_correct-v2'
for lang in _LANGUAGES
}
class MLDR(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
datasets.BuilderConfig(
version=datasets.Version('1.0.0'),
name=lang,
description=f'NeuCLIR dataset in language {lang}.'
) for lang in _LANGUAGES
] + [
datasets.BuilderConfig(
version=datasets.Version('1.0.0'),
name=f'corpus-{lang}',
description=f'Corpus of NeuCLIR dataset in language {lang}.'
) for lang in _LANGUAGES
] + [
datasets.BuilderConfig(
version=datasets.Version('1.0.0'),
name=f'queries-{lang}',
description=f'Queries of NeuCLIR dataset in language {lang}.'
) for lang in _LANGUAGES
]
def _info(self):
name = self.config.name
if name.startswith('corpus-'):
features = datasets.Features({
'_id': datasets.Value('string'),
'text': datasets.Value('string'),
'title': datasets.Value('string'),
})
elif name.startswith('queries-'):
features = datasets.Features({
'_id': datasets.Value('string'),
'text': datasets.Value('string'),
})
else:
features = datasets.Features({
'query-id': datasets.Value('string'),
'corpus-id': datasets.Value('string'),
'score': datasets.Value('int32'),
})
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
supervised_keys=None,
homepage='https://arxiv.org/abs/2304.12367',
license=None,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
name = self.config.name
lang = name.split('-')[-1] if '-' in name else name
lang_repo = _DATASET_URLS[lang]
if name.startswith('corpus-'):
dataset = datasets.load_dataset(lang_repo, f"corpus")
return [
datasets.SplitGenerator(
name='corpus',
gen_kwargs={
'split': dataset['test'],
},
),
]
elif name.startswith('queries-'):
dataset = datasets.load_dataset(lang_repo, f"queries")
return [
datasets.SplitGenerator(
name='queries',
gen_kwargs={
'split': dataset['test'],
},
),
]
else:
dataset = datasets.load_dataset(lang_repo)
return [
datasets.SplitGenerator(
name=_EVAL_SPLIT,
gen_kwargs={
'split': dataset['test'],
},
),
]
def _generate_examples(self, split):
name = self.config.name
if name.startswith('corpus-'):
for idx, example in enumerate(split):
yield idx, {
'_id': example['_id'],
'text': example['text'],
'title': example['title'],
}
elif name.startswith('queries-'):
for idx, example in enumerate(split):
yield idx, {
'_id': example['_id'],
'text': example['text'],
}
else:
for idx, example in enumerate(split):
yield idx, {
'query-id': example['query-id'],
'corpus-id': example['corpus-id'],
'score': example['score'],
}