README.md

metadata

annotations_creators:
  - found
language_creators:
  - found
language:
  - af
  - am
  - ar
  - ast
  - az
  - be
  - bg
  - bn
  - br
  - ca
  - ceb
  - cs
  - cy
  - da
  - de
  - el
  - en
  - eo
  - es
  - et
  - eu
  - fa
  - fi
  - fr
  - fy
  - ga
  - gd
  - gl
  - ha
  - he
  - hi
  - hr
  - hu
  - hy
  - id
  - ig
  - ilo
  - is
  - it
  - ja
  - jv
  - ka
  - kk
  - km
  - ko
  - la
  - lb
  - lg
  - lt
  - lv
  - mg
  - mk
  - ml
  - mr
  - ms
  - my
  - ne
  - nl
  - 'no'
  - oc
  - om
  - or
  - pl
  - pt
  - ro
  - ru
  - sd
  - si
  - sk
  - sl
  - so
  - sq
  - sr
  - su
  - sv
  - sw
  - ta
  - tl
  - tr
  - tt
  - uk
  - ur
  - uz
  - vi
  - wo
  - xh
  - yi
  - yo
  - zh
  - zu
  - se
license:
  - unknown
multilinguality:
  - multilingual
size_categories:
  en-nl:
    - n<110M
  en-af:
    - n<9M
  en-lt:
    - <24M
source_datasets:
  - original
task_categories:
  - conditional-text-generation
  - translation
task_ids:
  - machine-translation
paperswithcode_id: ccmatrix
pretty_name: CCMatrixV1

Dataset Card for CCMatrix v1

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://opus.nlpl.eu/CCMatrix.php
• Repository: None
• Paper: https://arxiv.org/abs/1911.04944

Dataset Summary

This corpus has been extracted from web crawls using the margin-based bitext mining techniques described at https://github.com/facebookresearch/LASER/tree/master/tasks/CCMatrix.

• 90 languages, 1,197 bitexts
• total number of files: 90
• total number of tokens: 112.14G
• total number of sentence fragments: 7.37G

Supported Tasks and Leaderboards

[More Information Needed]

Languages

To load a language pair which isn't part of the config, all you need to do is specify the language code as pairs. You can find the valid pairs in Homepage section of Dataset Description: https://opus.nlpl.eu/CCMatrix.php E.g.

dataset = load_dataset("yhavinga/ccmatrix", lang1="en", lang2="nl")

Dataset Structure

Data Instances

For example:

{
        "id": 1,
        "score": 1.2498379,
        "translation": {
            "nl": "En we moeten elke waarheid vals noemen die niet minstens door een lach vergezeld ging.”",
            "en": "And we should call every truth false which was not accompanied by at least one laugh.”"
        }
    }

Data Fields

Each example contains an integer id starting with 0, a score, and a translation dictionary with the language 1 and language 2 texts.

Data Splits

Only a train split is provided.

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

[More Information Needed]

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

[More Information Needed]

Citation Information

IMPORTANT: Please cite reference [2][3] if you use this data.

1. CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data by Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Jouli and Edouard Grave.
2. CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB by Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave and Armand Joulin.
3. Beyond English-Centric Multilingual Machine Translation by Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Edouard Grave, Michael Auli, and Armand Joulin.

This HuggingFace CCMatrix dataset is a wrapper around the service and files prepared and hosted by OPUS:

• Parallel Data, Tools and Interfaces in OPUS by Jörg Tiedemann.

Contributions