dataset_infos.json

{
    "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/",
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            "masked_uri": {
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        "supervised_keys": null,
        "builder_name": "ftrace",
        "config_name": "abstracts",
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            "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",
        "features": {
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            "obj_surface": {
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            "obj_uri": {
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            "uuid": {
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        },
        "supervised_keys": null,
        "builder_name": "ftrace",
        "config_name": "queries",
        "version": {
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            "major": 0,
            "minor": 0,
            "patch": 2
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 5426318,
                "num_examples": 31479,
                "dataset_name": "abstracts"
            }
        }
    }
}