Datasets:

Languages:
English
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
expert-generated
ArXiv:
License:
jfleg / dataset_infos.json
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{
"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
}
}