{ "default": { "description": "JFLEG (JHU FLuency-Extended GUG) is an English grammatical error correction (GEC) corpus.\nIt is a gold standard benchmark for developing and evaluating GEC systems with respect to\nfluency (extent to which a text is native-sounding) as well as grammaticality.\n\nFor each source document, there are four human-written corrections (ref0 to ref3).\n", "citation": "@InProceedings{napoles-sakaguchi-tetreault:2017:EACLshort,\n author = {Napoles, Courtney\n and Sakaguchi, Keisuke\n and Tetreault, Joel},\n title = {JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction},\n booktitle = {Proceedings of the 15th Conference of the European Chapter of the\n Association for Computational Linguistics: Volume 2, Short Papers},\n month = {April},\n year = {2017},\n address = {Valencia, Spain},\n publisher = {Association for Computational Linguistics},\n pages = {229--234},\n url = {http://www.aclweb.org/anthology/E17-2037}\n}\n@InProceedings{heilman-EtAl:2014:P14-2,\n author = {Heilman, Michael\n and Cahill, Aoife\n and Madnani, Nitin\n and Lopez, Melissa\n and Mulholland, Matthew\n and Tetreault, Joel},\n title = {Predicting Grammaticality on an Ordinal Scale},\n booktitle = {Proceedings of the 52nd Annual Meeting of the\n Association for Computational Linguistics (Volume 2: Short Papers)},\n month = {June},\n year = {2014},\n address = {Baltimore, Maryland},\n publisher = {Association for Computational Linguistics},\n pages = {174--180},\n url = {http://www.aclweb.org/anthology/P14-2029}\n}\n", "homepage": "https://github.com/keisks/jfleg", "license": "CC BY-NC-SA 4.0", "features": { "sentence": { "dtype": "string", "_type": "Value" }, "corrections": { "feature": { "dtype": "string", "_type": "Value" }, "_type": "Sequence" } }, "builder_name": "jfleg", "dataset_name": "jfleg", "config_name": "default", "version": { "version_str": "1.0.0", "major": 1, "minor": 0, "patch": 0 }, "splits": { "validation": { "name": "validation", "num_bytes": 379979, "num_examples": 755, "dataset_name": null }, "test": { "name": "test", "num_bytes": 379699, "num_examples": 748, "dataset_name": null } }, "download_size": 289093, "dataset_size": 759678, "size_in_bytes": 1048771 } }