Commit
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Parent(s):
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Convert dataset to Parquet
Browse filesConvert dataset to Parquet.
- README.md +11 -4
- data/test-00000-of-00001.parquet +3 -0
- data/validation-00000-of-00001.parquet +3 -0
- dataset_infos.json +47 -1
README.md
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@@ -29,13 +29,20 @@ dataset_info:
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sequence: string
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splits:
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- name: validation
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num_bytes:
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num_examples: 755
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- name: test
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num_bytes:
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num_examples: 748
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download_size:
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dataset_size:
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---
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# Dataset Card for JFLEG
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sequence: string
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splits:
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- name: validation
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num_bytes: 379979
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num_examples: 755
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- name: test
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num_bytes: 379699
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num_examples: 748
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download_size: 289093
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dataset_size: 759678
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configs:
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- config_name: default
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data_files:
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- split: validation
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path: data/validation-*
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- split: test
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path: data/test-*
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---
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# Dataset Card for JFLEG
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data/test-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:c3e5328a79aebb6fd559d19291c055824ed1040c5038731b3449e0e9efb1d59b
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size 141012
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data/validation-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:102d7bd261223c00e2a39f0dd239857de9e5f91f94ae2aefbdd50a38ac6fddf8
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size 148081
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dataset_infos.json
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{
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{
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"default": {
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"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",
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"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",
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"homepage": "https://github.com/keisks/jfleg",
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"license": "CC BY-NC-SA 4.0",
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"features": {
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"sentence": {
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"dtype": "string",
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"_type": "Value"
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},
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"corrections": {
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"feature": {
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"dtype": "string",
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"_type": "Value"
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},
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"_type": "Sequence"
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}
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},
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"builder_name": "jfleg",
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"dataset_name": "jfleg",
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"config_name": "default",
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"version": {
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"version_str": "1.0.0",
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"major": 1,
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"minor": 0,
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"patch": 0
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},
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"splits": {
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"validation": {
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"name": "validation",
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"num_bytes": 379979,
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"num_examples": 755,
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"dataset_name": null
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},
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"test": {
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"name": "test",
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"num_bytes": 379699,
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"num_examples": 748,
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"dataset_name": null
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}
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},
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"download_size": 289093,
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"dataset_size": 759678,
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"size_in_bytes": 1048771
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}
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}
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