Dataset Card for "flores"

Dataset Summary

Evaluation datasets for low-resource machine translation: Nepali-English and Sinhala-English.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

neen

• Size of downloaded dataset files: 1.54 MB
• Size of the generated dataset: 1.86 MB
• Total amount of disk used: 3.40 MB

An example of 'validation' looks as follows.

This example was too long and was cropped:

{
    "translation": "{\"en\": \"This is the wrong translation!\", \"ne\": \"यस वाहेक आगम पूजा, तारा पूजा, व्रत आदि पनि घरभित्र र वाहिर दुवै स्थानमा गरेको पा..."
}

sien

• Size of downloaded dataset files: 1.54 MB
• Size of the generated dataset: 2.01 MB
• Total amount of disk used: 3.57 MB

An example of 'validation' looks as follows.

This example was too long and was cropped:

{
    "translation": "{\"en\": \"This is the wrong translation!\", \"si\": \"එවැනි ආවරණයක් ලබාදීමට රක්ෂණ සපයන්නෙකු කැමති වුවත් ඒ සාමාන් යයෙන් බොහෝ රටවල පොදු ..."
}

Data Fields

The data fields are the same among all splits.

neen

• translation: a multilingual string variable, with possible languages including ne, en.

sien

• translation: a multilingual string variable, with possible languages including si, en.

Data Splits

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

Citation Information

@misc{guzmn2019new,
    title={Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English},
    author={Francisco Guzman and Peng-Jen Chen and Myle Ott and Juan Pino and Guillaume Lample and Philipp Koehn and Vishrav Chaudhary and Marc'Aurelio Ranzato},
    year={2019},
    eprint={1902.01382},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}

Contributions

Thanks to @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.