Datasets:

openpecha
/

BoCorpus

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

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

import pandas as pd

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

Loading with PyArrow

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:

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

Citation

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

@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 as part of their mission to make Tibetan Buddhist texts accessible for digital research and AI applications.