Datasets:
Modalities:
Text
Sub-tasks:
masked-language-modeling
Languages:
English
Size:
1M - 10M
ArXiv:
License:
Ekin Akyürek
commited on
Commit
•
dc08ef0
1
Parent(s):
6c3f9fe
update features
Browse files- dataset_infos.json +84 -0
dataset_infos.json
CHANGED
@@ -4,6 +4,48 @@
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"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}}",
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"homepage": "https://hadyelsahar.github.io/t-rex/",
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"license": "Creative Commons Attribution-ShareAlike 4.0 International License. see https://creativecommons.org/licenses/by-sa/4.0/",
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"supervised_keys": null,
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"builder_name": "ftrace",
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"config_name": "abstracts",
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@@ -29,6 +71,48 @@
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"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}}",
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"homepage": "https://github.com/facebookresearch/LAMA",
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"license": "The Creative Commons Attribution-Noncommercial 4.0 International License. see https://github.com/facebookresearch/LAMA/blob/master/LICENSE",
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"supervised_keys": null,
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"builder_name": "ftrace",
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"config_name": "queries",
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"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}}",
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"homepage": "https://hadyelsahar.github.io/t-rex/",
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"license": "Creative Commons Attribution-ShareAlike 4.0 International License. see https://creativecommons.org/licenses/by-sa/4.0/",
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"features": {
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"inputs_pretokenized": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"targets_pretokenized": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"masked_uri": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"masked_type": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"facts": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"id": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"example_uris": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"page_uri": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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}
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},
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"supervised_keys": null,
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"builder_name": "ftrace",
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"config_name": "abstracts",
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"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}}",
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"homepage": "https://github.com/facebookresearch/LAMA",
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"license": "The Creative Commons Attribution-Noncommercial 4.0 International License. see https://github.com/facebookresearch/LAMA/blob/master/LICENSE",
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"features": {
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"inputs_pretokenized": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"targets_pretokenized": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"obj_surface": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"sub_surface": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"obj_uri": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"sub_uri": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"predicate_id": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"uuid": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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}
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},
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"supervised_keys": null,
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"builder_name": "ftrace",
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"config_name": "queries",
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