Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
ArXiv:
License:
albertvillanova HF staff commited on
Commit
1e017f6
1 Parent(s): e5f56e3

Delete legacy JSON metadata (#3)

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- Delete legacy JSON metadata (f321ec7a6486a94bac870eaa377c3396b47e4cc9)

Files changed (1) hide show
  1. dataset_infos.json +0 -1
dataset_infos.json DELETED
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- {"glucose": {"description": "When humans read or listen, they make implicit commonsense inferences that frame their understanding of what happened and why. As a step toward AI systems that can build similar mental models, we introduce GLUCOSE, a large-scale dataset of implicit commonsense causal knowledge, encoded as causal mini-theories about the world, each grounded in a narrative context.\n", "citation": "@inproceedings{mostafazadeh2020glucose,\n title={GLUCOSE: GeneraLized and COntextualized Story Explanations},\n author={Nasrin Mostafazadeh and Aditya Kalyanpur and Lori Moon and David Buchanan and Lauren Berkowitz and Or Biran and Jennifer Chu-Carroll},\n year={2020},\n booktitle={The Conference on Empirical Methods in Natural Language Processing},\n publisher={Association for Computational Linguistics}\n}\n", "homepage": "https://github.com/ElementalCognition/glucose", "license": "Creative Commons Attribution-NonCommercial 4.0 International Public License", "features": {"experiment_id": {"dtype": "string", "id": null, "_type": "Value"}, "story_id": {"dtype": "string", "id": null, "_type": "Value"}, "worker_id": {"dtype": "int64", 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