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Datasets:
juancavallotti
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multilingual-gec

Tasks:
Translation
Modalities:
Text
Formats:
parquet
Languages:
English
Spanish
French
Size:
100K - 1M
Tags:
grammar
gec
multi language
language detection
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metadata
author: Juan Alberto López Cavallotti
date: Jan 6, 2023
license: apache-2.0
task_categories:
  - translation
language:
  - en
  - es
  - fr
  - de
tags:
  - grammar
  - gec
  - multi language
  - language detection
pretty_name: Multi Lingual Grammar Error Correction Dataset
size_categories:
  - 100K<n<1M

Dataset Card for Multilingual Grammar Error Correction

Dataset Description

Dataset Summary

This dataset can be used to train a transformer model (we used T5) to correct grammar errors in simple sentences written in English, Spanish, French, or German. This dataset was developed as a component for the Squidigies platform.

Supported Tasks and Leaderboards

  • Grammar Error Correction: By appending the prefix fix grammar: to the prrompt.
  • Language Detection: By appending the prefix: language: to the prompt.

Languages

  • English
  • Spanish
  • French
  • German

Dataset Structure

Data Instances

The dataset contains the following instances for each language:

  • German 32282 sentences.
  • English 51393 sentences.
  • Spanish 67672 sentences.
  • French 67157 sentences.

Data Fields

  • lang: The language of the sentence
  • sentence: The original sentence.
  • modified: The corrupted sentence.
  • transformation: The primary transformation used by the synthetic data generator.
  • sec_transformation: The secondary transformation (if any) used by the synthetic data generator.

Data Splits

  • train: There isn't a specific split defined. I recommend using 1k sentences sampled randomly from each language, combined with the SacreBleu metric.

Dataset Creation

Curation Rationale

This dataset was generated synthetically through code with the help of information of common grammar errors harvested throughout the internet.

Source Data

Initial Data Collection and Normalization

The source grammatical sentences come from various open-source datasets, such as Tatoeba.

Who are the source language producers?

  • Juan Alberto López Cavallotti

Annotations

Annotation process

The annotation is automatic and produced by the generation script.

Who are the annotators?

  • Data generation script by Juan Alberto López Cavallotti

Other Known Limitations

The dataset doesn't cover all the possible grammar errors but serves as a starting point that generates fair results.

Additional Information

Dataset Curators

  • Juan Alberto López Cavallotti

Licensing Information

This dataset is distributed under the Apache 2 License

Citation Information

Please mention this original dataset and the author Juan Alberto López Cavallotti

Contributions

  • Juan Alberto López Cavallotti