README.md

metadata

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.

• 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
4. Mislabel correction — noisy label detection and removal using CleanLab