mradermacher/meta-flores-translation-chinese-english-model-GGUF
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Dataset Card for "flores"
Dataset Summary
Evaluation datasets for low-resource machine translation: Nepali-English and Sinhala-English.
Supported Tasks and Leaderboards
Languages
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 multilingualstringvariable, with possible languages includingne,en.
sien
translation: a multilingualstringvariable, with possible languages includingsi,en.
Data Splits
| name | validation | test |
|---|---|---|
| neen | 2560 | 2836 |
| sien | 2899 | 2767 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
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
@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.
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