{ "builder_name": "movie_rationales", "citation": "\n@unpublished{eraser2019,\n title = {ERASER: A Benchmark to Evaluate Rationalized NLP Models},\n author = {Jay DeYoung and Sarthak Jain and Nazneen Fatema Rajani and Eric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": { "num_bytes": 3899487, "checksum": null } }, "download_size": 3899487, "features": { "review": { "dtype": "string", "_type": "Value" }, "label": { "names": [ "NEG", "POS" ], "_type": "ClassLabel" }, "evidences": { "feature": { "dtype": "string", "_type": "Value" }, "_type": "Sequence" }, "chunked_review": { "dtype": "string", "_type": "Value" } }, "homepage": "http://www.cs.jhu.edu/~ozaidan/rationales/", "license": "", "size_in_bytes": 12626685, "splits": { "train": { "name": "train", "num_bytes": 6851077, "num_examples": 1600, "dataset_name": "movie_rationales" }, "validation": { "name": "validation", "num_bytes": 830115, "num_examples": 200, "dataset_name": "movie_rationales" }, "test": { "name": "test", "num_bytes": 1046006, "num_examples": 199, "dataset_name": "movie_rationales" } }, "version": { "version_str": "0.1.0", "major": 0, "minor": 1, "patch": 0 } }