---
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.