---
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.