Datasets:
Modalities:
Text
Sub-tasks:
masked-language-modeling
Languages:
English
Size:
1M - 10M
ArXiv:
License:
File size: 2,428 Bytes
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{
"abstracts": {
"description": "Abstracts from TREx dataset",
"citation": "@inproceedings{elsahar2018t, title={T-rex: A large scale alignment of natural language with knowledge base triples}, author={Elsahar, Hady and Vougiouklis, Pavlos and Remaci, Arslen and Gravier, Christophe and Hare, Jonathon and Laforest, Frederique and Simperl, Elena},booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year={2018}}",
"homepage": "https://hadyelsahar.github.io/t-rex/",
"license": "Creative Commons Attribution-ShareAlike 4.0 International License. see https://creativecommons.org/licenses/by-sa/4.0/",
"supervised_keys": null,
"builder_name": "ftrace",
"config_name": "abstracts",
"version": {
"version_str": "0.0.2",
"description": null,
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"major": 0,
"minor": 0,
"patch": 2
},
"splits": {
"train": {
"name": "train",
"num_bytes": 473823085,
"num_examples": 1560453,
"dataset_name": "abstracts"
}
}
},
"queries": {
"description": "Queries from LAMA dataset",
"citation": "@inproceedings{petroni2019language,title={Language Models as Knowledge Bases?},author={F. Petroni, T. Rockt{\"{a}}schel, A. H. Miller, P. Lewis, A. Bakhtin, Y. Wu and S. Riedel},booktitle={In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019},year={2019}}",
"homepage": "https://github.com/facebookresearch/LAMA",
"license": "The Creative Commons Attribution-Noncommercial 4.0 International License. see https://github.com/facebookresearch/LAMA/blob/master/LICENSE",
"supervised_keys": null,
"builder_name": "ftrace",
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"dataset_name": "abstracts"
}
}
}
} |