Bo Metadata Benchmark
This benchmark evaluates how well large language models extract bibliographic metadata from Tibetan texts when given only a segment of the work (Text Head and Text Last), not the full text.
The model is expected to recover fields such as titles, authors, translators, revisors, scribes, revealers, publisher, date, and place from those windows.
The published file is benchmark_dataset.csv (699 rows).
Collections
| Collection | Texts | Share |
|---|---|---|
| Tengyur (Derge) | 500 | 71.5% |
| Terzod (Rinchen Terzod) | 100 | 14.3% |
| Shangpa | 99 | 14.2% |
| Total | 699 | 100% |
Metadata coverage
Counts are records with a non-empty value. Unique counts treat the full field string as one value (comma-separated names are not split).
| Field | Records | Unique values | Tengyur | Terzod | Shangpa |
|---|---|---|---|---|---|
| Tibetan title | 698 (99.9%) | 698 | 499 | 100 | 99 |
| Sanskrit title | 421 (60.2%) | 420 | 379 | 20 | 22 |
| Alternative titles | 406 (58.1%) | 406 | 284 | 73 | 49 |
| Authors | 453 (64.8%) | 417 | 340 | 52 | 61 |
| Translator / pandita | 246 (35.2%) | 203 | 231 | 6 | 9 |
| Translators | 313 (44.8%) | 222 | 287 | 7 | 19 |
| Revisor | 56 (8.0%) | 51 | 32 | 9 | 15 |
| Scribe | 70 (10.0%) | 63 | 20 | 39 | 11 |
| Revealers | 52 (7.4%) | 44 | 0 | 51 | 1 |
| Publisher | 3 (0.4%) | 3 | 0 | 1 | 2 |
| Date | 65 (9.3%) | 65 | 24 | 22 | 19 |
| Place | 176 (25.2%) | 174 | 90 | 49 | 37 |
Every row has collection, File name, Text Head, and Text Last. One Tengyur row has no Tibetan title.
Dataset origin
- Tengyur (Derge). Manually annotated as part of the ATII project.
- Shangpa. Post-correction of Gemini zero-shot inference. The texts are mainly from the Kagyu lineage.
- Terzod. Also post-corrected Gemini output. The texts are from the Rinchen Terzod.
Credits
This dataset was developed by Dharmaduta from specifications provided by the Buddhist Digital Resource Center (BDRC) for the BDRC Etext Corpus, with funding from the Khyentse Foundation.