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README.md

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-license: mit
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+# 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`](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.