Datasets:

eraser-benchmark
/

movie_rationales

- {"default": {"description": "\nThe movie rationale dataset contains human annotated rationales for movie\nreviews.\n", "citation": "\n@unpublished{eraser2019,\n title = {ERASER: A Benchmark to Evaluate Rationalized NLP Models},\n author = {Jay DeYoung and Sarthak Jain and Nazneen Fatema Rajani and Eric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", "homepage": "http://www.cs.jhu.edu/~ozaidan/rationales/", "license": "", "features": {"review": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["NEG", "POS"], "names_file": null, "id": null, "_type": "ClassLabel"}, "evidences": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "supervised_keys": null, "builder_name": "movie_rationales", "config_name": "default", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1046377, "num_examples": 199, "dataset_name": "movie_rationales"}, "train": {"name": "train", "num_bytes": 6853624, "num_examples": 1600, "dataset_name": "movie_rationales"}, "validation": {"name": "validation", "num_bytes": 830417, "num_examples": 200, "dataset_name": "movie_rationales"}}, "download_checksums": {"http://www.eraserbenchmark.com/zipped/movies.tar.gz": {"num_bytes": 3899487, "checksum": "66e18d4e6c9df9e9f5544572b0bfe92a39673f74ecbfc3859b46cedb2f5b2dee"}}, "download_size": 3899487, "dataset_size": 8730418, "size_in_bytes": 12629905}}