Datasets:
Tasks:
Text2Text Generation
Languages:
English
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
extended|other-GUG-grammaticality-judgements
ArXiv:
License:
annotations_creators: | |
- expert-generated | |
language_creators: | |
- found | |
languages: | |
- en | |
licenses: | |
- 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: | |
- conditional-text-generation | |
task_ids: | |
- conditional-text-generation-other-grammatical-error-correction | |
paperswithcode_id: jfleg | |
# 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://www.aclweb.org/anthology/E17-2037/). | |
``` | |
@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. |