---
license: cc-by-4.0
language:
- bo
task_categories:
- token-classification
tags:
- tibetan
- ner
- metadata
- bdrc
size_categories:
- 1K<n<10K
---

# Tibetan Metadata Extracted Documents

Raw BDRC outliner exports used to build [ganga4364/tibetan-metadata-detector](https://huggingface.co/datasets/ganga4364/tibetan-metadata-detector).

## Contents

3,794 approved documents with annotated title/author spans. Each row:

| Field | Description |
|-------|-------------|
| `doc_id` | Document UUID |
| `filename` | Source filename |
| `text` | Full document text (UTF-8) |
| `annotations_json` | JSON with `segments` and flat `annotations` (title/author spans) |

## Related repos

- Window splits + model training data: [ganga4364/tibetan-metadata-detector](https://huggingface.co/datasets/ganga4364/tibetan-metadata-detector)
- Fine-tuned model: [ganga4364/tibetan-metadata-roberta-ner](https://huggingface.co/ganga4364/tibetan-metadata-roberta-ner)
- Demo: [ganga4364/tibetan-metadata-highlight](https://huggingface.co/spaces/ganga4364/tibetan-metadata-highlight)

## Usage

```python
from datasets import load_dataset

ds = load_dataset("ganga4364/tibetan-metadata-extracted")
doc = ds["train"][0]
```