Duplicate from jhu-clsp/jfleg

Co-authored-by: Parquet-converter (BOT) <parquet-converter@users.noreply.huggingface.co>

.gitattributes

@@ -0,0 +1,27 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,200 @@
+---
+annotations_creators:
+- expert-generated
+language_creators:
+- found
+language:
+- en
+license:
+- cc-by-nc-sa-4.0
+multilinguality:
+- monolingual
+- other-language-learner
+size_categories:
+- 1K<n<10K
+source_datasets:
+- extended|other-GUG-grammaticality-judgements
+task_categories:
+- text2text-generation
+task_ids: []
+paperswithcode_id: jfleg
+pretty_name: JHU FLuency-Extended GUG corpus
+tags:
+- grammatical-error-correction
+dataset_info:
+  features:
+  - name: sentence
+    dtype: string
+  - name: corrections
+    sequence: string
+  splits:
+  - name: validation
+    num_bytes: 379979
+    num_examples: 755
+  - name: test
+    num_bytes: 379699
+    num_examples: 748
+  download_size: 289093
+  dataset_size: 759678
+configs:
+- config_name: default
+  data_files:
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
+---
+
+# Dataset Card for JFLEG
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** [Github](https://github.com/keisks/jfleg)
+- **Repository:** [Github](https://github.com/keisks/jfleg)
+- **Paper:** [Napoles et al., 2020](https://www.aclweb.org/anthology/E17-2037/)
+- **Leaderboard:** [Leaderboard](https://github.com/keisks/jfleg#leader-board-published-results)
+- **Point of Contact:** Courtney Napoles, Keisuke Sakaguchi
+
+### Dataset Summary
+JFLEG (JHU FLuency-Extended GUG) is an English grammatical error correction (GEC) corpus. It is a gold standard benchmark for developing and evaluating GEC systems with respect to fluency (extent to which a text is native-sounding) as well as grammaticality. For each source document, there are four human-written corrections.
+
+### Supported Tasks and Leaderboards
+Grammatical error correction.
+
+### Languages
+English (native as well as L2 writers)
+
+## Dataset Structure
+
+### Data Instances
+Each instance contains a source sentence and four corrections. For example:
+```python
+{
+  'sentence': "They are moved by solar energy ."
+  'corrections': [
+    "They are moving by solar energy .",
+    "They are moved by solar energy .",
+    "They are moved by solar energy .",
+    "They are propelled by solar energy ." 
+  ]
+}
+ ```
+
+### Data Fields
+- sentence: original sentence written by an English learner
+- corrections: corrected versions by human annotators. The order of the annotations are consistent (eg first sentence will always be written by annotator "ref0").
+
+### Data Splits
+- This dataset contains 1511 examples in total and comprise a dev and test split. 
+- There are 754 and 747 source sentences for dev and test, respectively. 
+- Each sentence has 4 corresponding corrected versions. 
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+This work is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-nc-sa/4.0/).
+
+### Citation Information
+This benchmark was proposed by [Napoles et al., 2020](https://arxiv.org/abs/1702.04066).
+
+```
+@InProceedings{napoles-sakaguchi-tetreault:2017:EACLshort,
+  author    = {Napoles, Courtney  and  Sakaguchi, Keisuke  and  Tetreault, Joel},
+  title     = {JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction},
+  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
+  month     = {April},
+  year      = {2017},
+  address   = {Valencia, Spain},
+  publisher = {Association for Computational Linguistics},
+  pages     = {229--234},
+  url       = {http://www.aclweb.org/anthology/E17-2037}
+}
+
+@InProceedings{heilman-EtAl:2014:P14-2,
+  author    = {Heilman, Michael  and  Cahill, Aoife  and  Madnani, Nitin  and  Lopez, Melissa  and  Mulholland, Matthew  and  Tetreault, Joel},
+  title     = {Predicting Grammaticality on an Ordinal Scale},
+  booktitle = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
+  month     = {June},
+  year      = {2014},
+  address   = {Baltimore, Maryland},
+  publisher = {Association for Computational Linguistics},
+  pages     = {174--180},
+  url       = {http://www.aclweb.org/anthology/P14-2029}
+}
+```
+
+### Contributions
+
+Thanks to [@j-chim](https://github.com/j-chim) for adding this dataset.

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c3e5328a79aebb6fd559d19291c055824ed1040c5038731b3449e0e9efb1d59b
+size 141012

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:102d7bd261223c00e2a39f0dd239857de9e5f91f94ae2aefbdd50a38ac6fddf8
+size 148081