Datasets:
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language:
- multilingual
task_categories:
- text-classification
tags:
- language-identification
- lid
---
# Multilingual benchmark dataset
This dataset contains cleaned text data organized by language, and can be used as a benchmark for evaluating language identification (LID) models.
## Overview
This dataset consists of samples from multiple existing benchmark and multilingual text datasets. The full list of sources and licenses is provided [here](https://docs.google.com/spreadsheets/d/1G12FaSMelNX87dclhm9dE3d5ZRO99B2hoFE1ufB2Zvg/edit?usp=sharing).
- **Languages:** ~1,800 languages
- **Samples:** Over 1M
- **Licenses:** All sources are commercially usable — full license list provided in the sheet above
## Dataset Structure
- Each parquet file corresponds to one language (e.g. `eng.parquet`, `fra.parquet`)
- Columns: `text`, `language`
## Data Cleaning Pipeline
The dataset was carefully processed through the following steps:
1. **Deduplication** — exact duplicate removal across all sources
2. **Filtering** — removal of programming language code, abnormal symbols, and numeric-only samples
3. **Semantic deduplication** — near-duplicate removal using [SemHash](https://github.com/MinishLab/semhash)
4. **Mislabel correction** — noisy label detection and removal using [CleanLab](https://github.com/cleanlab/cleanlab)
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