BDRC/Bo_metadata_benchmark

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.