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Table · dataset · 2022

JHU FLuency-Extended GUG corpus

Listed in Hugging Face Datasets

Dataset Card for JFLEG Dataset

Description

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.

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Supported Tasks and Leaderboards Grammatical error correction. Languages English (native… See the full description on the dataset page: huggingface.co/datasets/jhu-clsp/jfleg.

Links

Where it is published

Documentation and papers

Catalogue records · 1

Topics

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Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsjhu-clsp/jfleg12 d agoJSON v1
FieldAssertionExtractorEvidence
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created_datesource · Hugging Faceconnector:huggingface@1.0.0
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publication_datesource · Hugging Faceconnector:huggingface@1.0.0
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