| --- |
| 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. |
|
|
