| --- |
| license: cc-by-4.0 |
| language: |
| - hi |
| size_categories: |
| - 10M<n<100M |
| task_categories: |
| - text-generation |
| tags: |
| - pretraining |
| - hindi |
| - deduplication |
| - quality-filtered |
| configs: |
| - config_name: minhash_deduped |
| data_files: |
| - split: train |
| path: "minhash_deduped/**/*.parquet" |
| - config_name: quality_filtered |
| data_files: |
| - split: train |
| path: "quality_filtered/**/*.parquet" |
| - config_name: consensus |
| data_files: |
| - split: train |
| path: "consensus/*.parquet" |
| --- |
| |
| # HinMix: Hindi Pretraining Data Mix |
|
|
| A high-quality Hindi pretraining dataset created by combining, filtering, and deduplicating multiple sources. |
|
|
| ## Dataset Description |
|
|
| This dataset contains Hindi text from multiple web crawl sources, processed through a quality filtering and MinHash deduplication pipeline. |
|
|
| ### Sources |
| - **C4** (mC4 Hindi subset) |
| - **CulturaX** (Hindi) |
| - **Fineweb-2** (hin_Deva) |
| - **HPLT-2** (hin_Deva) |
| - **Sangraha** (verified and unverified Hindi splits) |
|
|
| ## Subsets |
|
|
| ### 1. `minhash_deduped` (Recommended) |
| MinHash-deduplicated data. Each source was deduplicated individually to remove near-duplicate documents. |
| |
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("AdaMLLab/HinMix", "minhash_deduped") |
| ``` |
| |
| **Statistics:** |
| - ~60M documents |
| - 136GB compressed |
| |
| ### 2. `quality_filtered` |
| Quality-filtered data before deduplication. Use this if you want to apply your own deduplication. |
| |
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("AdaMLLab/HinMix", "quality_filtered") |
| ``` |
| |
| **Statistics:** |
| - ~99M documents |
| - 231GB compressed |
| |
| ### 3. `consensus` |
| Documents that appear in 2+ sources (exact text match). These are high-confidence documents verified across multiple crawls. |
| |
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("AdaMLLab/HinMix", "consensus") |
| ``` |
| |
| **Statistics:** |
| - 1.92M documents |
| - 3.7GB compressed |
| |
| **Schema:** |
| - `text`: Document text |
| - `id`: Primary document ID |
| - `sources`: List of sources where document appears (e.g., `["c4", "culturax"]`) |
| - `all_ids`: All document IDs from all sources |
| - `metadata`: Additional metadata |
|
|
| ## Quality Filtering |
|
|
| Documents were filtered based on: |
| - Language identification (Hindi/Devanagari script ratio) |
| - Document length constraints |
| - Line quality metrics |
| - Repetition detection |
| - Boilerplate/policy phrase removal |
|
|
| Filter thresholds based on Fineweb-2 Hindi configuration. |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite: |
|
|
| ```bibtex |
| @dataset{hinmix2024, |
| title={HinMix: Hindi Pretraining Data Mix}, |
| author={AdaMLLab}, |
| year={2024}, |
| publisher={Hugging Face} |
| } |
| ``` |
|
|
| ## License |
|
|
| This dataset is released under CC-BY-4.0. Individual source datasets may have their own licenses. |
|
|
