movie_rationales_truncated / test /dataset_info.json
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{
"builder_name": "movie_rationales",
"citation": "\n@unpublished{eraser2019,\n title = {ERASER: A Benchmark to Evaluate Rationalized NLP Models},\n author = {Jay DeYoung and Sarthak Jain and Nazneen Fatema Rajani and Eric Lehman and Caiming Xiong and Richard Socher and Byron C. Wallace}\n}\n@InProceedings{zaidan-eisner-piatko-2008:nips,\n author = {Omar F. Zaidan and Jason Eisner and Christine Piatko},\n title = {Machine Learning with Annotator Rationales to Reduce Annotation Cost},\n booktitle = {Proceedings of the NIPS*2008 Workshop on Cost Sensitive Learning},\n month = {December},\n year = {2008}\n}\n",
"config_name": "default",
"dataset_name": "movie_rationales",
"dataset_size": 8727198,
"description": "\nThe movie rationale dataset contains human annotated rationales for movie\nreviews.\n",
"download_checksums": {
"http://www.eraserbenchmark.com/zipped/movies.tar.gz": {
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"checksum": null
}
},
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"features": {
"review": {
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"_type": "Value"
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"label": {
"names": [
"NEG",
"POS"
],
"_type": "ClassLabel"
},
"evidences": {
"feature": {
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"_type": "Value"
},
"_type": "Sequence"
},
"chunked_review": {
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"_type": "Value"
}
},
"homepage": "http://www.cs.jhu.edu/~ozaidan/rationales/",
"license": "",
"size_in_bytes": 12626685,
"splits": {
"train": {
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"num_examples": 1600,
"dataset_name": "movie_rationales"
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"validation": {
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"dataset_name": "movie_rationales"
},
"test": {
"name": "test",
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"num_examples": 199,
"dataset_name": "movie_rationales"
}
},
"version": {
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}