Datasets:

jhu-clsp
/

jfleg

	---
	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.