Update dataset card README

README.md

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+---
+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**: 603,376,880
+- **Average characters per text**: 580,728
+
+## 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.