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Dataset Card for CCMatrix v1
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:
{
"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.
- 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.
- CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB by Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave and Armand Joulin.
- 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
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