---
tags:
  - tibetan
  - classical-tibetan
  - buddhist-texts
  - corpus
  - openpecha
license: mit
language:
  - bo
datasets_info:
  - config_name: default
    features:
      - name: id
        dtype: string
      - name: collection
        dtype: string
      - name: filename
        dtype: string
      - name: text
        dtype: string
      - name: char_count
        dtype: int64
---

# BoCorpus

A comprehensive Tibetan corpus dataset for language model training and NLP research.

## Dataset Description

BoCorpus is a curated collection of classical Tibetan texts compiled from multiple digital collections. The dataset is designed for training language models and conducting research in Tibetan natural language processing.

### Collections Included

The corpus contains texts from the following collections:

- **Bon Kangyur**: 151 texts
- **Derge Kangyur**: 103 texts
- **Derge Tengyur**: 213 texts
- **DharmaEbook**: 98 texts
- **Pagen Project**: 1 texts
- **Tsadra Collection**: 266 texts
- **འབྲི་ལུགས་བང་མཛོད་སྐོར་ལྔ།**: 136 texts
- **རིན་ཆེན་གཏེར་མཛོད་ཆེན་མོ།**: 71 texts

### Data Statistics

- **Total records**: 1039
- **Total characters**: 603,325,999
- **Average characters per text**: 580,679

## Dataset Schema

| Column | Type | Description |
|--------|------|-------------|
| `id` | string | Unique UUID4 identifier for each record |
| `collection` | string | Name of the source collection |
| `filename` | string | Original filename (without extension) |
| `text` | string | Full text content with all line breaks removed |
| `char_count` | int64 | Total number of characters in the text |

## Usage

### Loading with HuggingFace Datasets

```python
from datasets import load_dataset

dataset = load_dataset("openpecha/BoCorpus", split="train")

# Access a single example
example = dataset[0]
print(f"Collection: {example['collection']}")
print(f"Characters: {example['char_count']}")
print(f"Text preview: {example['text'][:100]}...")
```

### Loading with Pandas

```python
import pandas as pd

df = pd.read_parquet("bo_corpus.parquet")
print(df.head())
```

### Loading with PyArrow

```python
import pyarrow.parquet as pq

table = pq.read_table("bo_corpus.parquet")
df = table.to_pandas()
```

## Data Preparation

The texts in this dataset have undergone the following preprocessing:

1. **Newline removal**: All newline characters (`\n`) are removed to create continuous text strings
2. **UUID assignment**: Each text receives a unique UUID4 identifier
3. **Character counting**: Total character count is computed for each text
4. **Collection tagging**: Each record is tagged with its source collection name

## Citation

If you use this dataset in your research, please cite:

```bibtex
@dataset{bocorpus,
  title = {BoCorpus: A Tibetan Text Corpus},
  author = {OpenPecha},
  year = {2024},
  url = {https://huggingface.co/openpecha/BoCorpus}
}
```

## License

This dataset is released under the MIT License.

## Acknowledgments

This corpus was prepared by [OpenPecha](https://openpecha.org) as part of their mission to make Tibetan Buddhist texts accessible for digital research and AI applications.