TransWebLLM
Collection
A collection of training corpus and models for "Multilingual Language Model Pretraining using Machine-translated Data". • 5 items • Updated • 2
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TransWebEdu
TransWebEdu is a machine-translated, multi-way parallel, multilingual dataset at pretrain scale, supporting ten languages: Arabic, Welsh, German, English, Spanish, French, Indonesian, Italian, Russian, and Swahili.
It is used to pretrain the TransWebLLM model from scratch, with a focus on multilingual web-based education content.
For more information, see the paper:
Multilingual Language Model Pretraining using Machine-translated Data
Languages Supported
- Arabic (
ar) - Welsh (
cy) - English (
en) - Spanish (
es) - French (
fr) - German (
de) - Indonesian (
id) - Italian (
it) - Russian (
ru) - Swahili (
sw)
Dataset Notes
- The dataset files are chunked due to large file sizes.
- Each language's data files use a specific prefix to indicate language and script.
Data File Prefix Mapping
| Language | Identifier |
|---|---|
| Arabic | arb_Arab |
| English | eng_Latn |
| French | fra_Latn |
| German | deu_Latn |
| Indonesian | ind_Latn |
| Italian | ita_Latn |
| Russian | rus_Cyrl |
| Spanish | spa_Latn |
| Swahili | swh_Latn |
| Welsh | cym_Latn |
Contact
For questions or feedback, please contact:
jiaywang@cs.ucl.ac.uk
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