| --- |
| 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) |
|
|
