| --- |
| 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 |
| source_datasets: |
| - original |
| task_categories: |
| - text2text-generation |
| - translation |
| task_ids: [] |
| paperswithcode_id: ccmatrix |
| pretty_name: CCMatrixV1 |
| tags: |
| - conditional-text-generation |
| --- |
| |
| # Dataset Card for CCMatrix v1 |
|
|
| ## 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:** 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 |
|
|
| Configs are generated for all language pairs in both directions. |
| You can find the valid pairs in Homepage section of Dataset Description: https://opus.nlpl.eu/CCMatrix.php |
| E.g. |
|
|
| ``` |
| from datasets import load_dataset |
| dataset = load_dataset("yhavinga/ccmatrix", "en-nl", streaming=True) |
| ``` |
|
|
| This will open the `en-nl` dataset in streaming mode. Without streaming, download and prepare will take tens of minutes. |
| You can inspect elements with: |
|
|
| ``` |
| print(next(iter(dataset['train']))) |
| {'id': 0, 'score': 1.2499677, 'translation': {'en': 'They come from all parts of Egypt, just like they will at the day of His coming.', 'nl': 'Zij kwamen uit alle delen van Egypte, evenals zij op de dag van Zijn komst zullen doen.'}} |
| ``` |
|
|
| ## Dataset Structure |
| ### Data Instances |
| For example: |
|
|
| ```json |
| { |
| "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](https://arxiv.org/abs/1911.00359)** |
| 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](https://arxiv.org/abs/1911.04944)** by *Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave and Armand Joulin*. |
| 3. **[Beyond English-Centric Multilingual Machine Translation](https://arxiv.org/abs/2010.11125)** 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](https://www.aclweb.org/anthology/L12-1246/)** by *Jörg Tiedemann*. |
|
|
| ### Contributions |
|
|
