| --- |
| license: cc-by-4.0 |
| task_categories: |
| - text-generation |
| language: |
| - bo |
| tags: |
| - tibetan |
| - metadata |
| - title |
| - author |
| - llm-sft |
| - tilamb |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # Tibetan metadata LLM SFT dataset (full) |
|
|
| Complete supervised fine-tuning JSONL for **title** and **author** span extraction from BDRC outliner segments, built for [TiLamb-7B](https://huggingface.co/YoLo2000/TiLamb-7B). |
|
|
| ## Pilot subset |
|
|
| See [ganga4364/tibetan-metadata-llm-sft](https://huggingface.co/datasets/ganga4364/tibetan-metadata-llm-sft) for a **10% pilot** subsample (same schema, smaller for quick experiments). |
|
|
| ## Layout |
|
|
| ``` |
| title/{train,val,test}.jsonl # Alpaca format for LLaMA-Factory |
| title/{train,val,test}_meta.jsonl |
| author/{train,val,test}.jsonl |
| author/{train,val,test}_meta.jsonl |
| dataset_info.json # LLaMA-Factory registry snippet |
| reports/crop_stats.json |
| ``` |
|
|
| Each training row: |
|
|
| - `instruction` — fixed task prompt (title or author) |
| - `input` — cropped segment text (token-budget ≤3584 via TiLamb tokenizer) |
| - `output` — JSON `{"spans":[{"text","start","end"}]}` (crop-relative offsets) |
|
|
| ## Cropping |
|
|
| | Kind | When | |
| |------|------| |
| | `full` | Whole segment fits token budget | |
| | `positive` | Random window containing gold span (anti position-bias) | |
| | `negative` | Random window, empty spans for that task | |
|
|
| Tokenizer budgets use **TiLamb** (`YoLo2000/TiLamb-7B`) — enforced in tokens, not characters. |
|
|
| Source: [ganga4364/tibetan-metadata-extracted](https://huggingface.co/datasets/ganga4364/tibetan-metadata-extracted) (3794 docs). |
|
|
| Built with [OpenPecha/tibetan-text-meta-detection](https://github.com/OpenPecha/tibetan-text-meta-detection) `llm_sft` package. |
|
|
