| | --- |
| | license: cc0-1.0 |
| | language: |
| | - multilingual |
| | tags: |
| | - index |
| | - linguistics |
| | - language |
| | - metadata |
| | - text |
| | --- |
| | # Multilingual Dataset Index |
| |
|
| | A curated list of multilingual text datasets available on Huggingface, designed to help users easily find datasets by language—including those for low-resource languages. |
| |
|
| | ### Purpose |
| |
|
| | This index aims to make it easier to find datasets by language, addressing the common issue of inconsistent or unclear language codes across different datasets. |
| |
|
| | ### Format |
| |
|
| | The index is provided as a CSV file with the following columns: |
| |
|
| | * `language`: The English name of the language, as listed in the dataset configuration. |
| | * `dataset`: The Huggingface identifier for the dataset. |
| | * `config`: The specific configuration name within the dataset that corresponds to the language. |
| | * `language_code`: A language code inferred from the config name, standardized to the ISO 639-3 format. |
| |
|
| | ### Limitations |
| |
|
| | * Different dialects or varieties of the same language may be listed separately (for example, Arabic, Standard Arabic, Egyptian Arabic, Moroccan Arabic). |
| | * In other cases, one language can include multiple dialects, for example: |
| | * English includes American English and British English |
| | * French includes Metropolitan French and Quebec French |
| | * Some languages with multiple scripts are grouped under the same language code, such as: |
| | * Hindi in Devanagari script vs. Romanized Hindi (Hinglish) |
| | * Simplified vs. Traditional Chinese |
| | * **Users should review the configuration names carefully to choose the right dataset for their needs.** |
| | * Automatic language detection may be inaccurate, particularly for low-resource languages. As a result, the actual number of high-quality languages in some datasets may be lower than it appears. |
| | * This index includes only multilingual datasets (those that cover more than one language) and does not include datasets focused solely on a single language. |
| | * Datasets may overlap. Be sure to remove duplicates whenever combining multiple datasets. |
