Datasets:
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README.md
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hand-transcribed pages; this open release is the 472 that can be shared. -->
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A hand-transcribed benchmark for evaluating Tibetan OCR across writing styles and
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technologies. This is
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transcriptions and per-page metadata (script, technology, legibility).
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benchmark (1,071 pages) additionally has a **held-out private split** kept secret to
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remain leakage-free — so numbers here are directly comparable across systems without
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anyone being able to train on the test set.
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Companion to the model [`BDRC/tibetan-ocr`](https://huggingface.co/BDRC/tibetan-ocr)
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and the **[leaderboard](https://huggingface.co/spaces/BDRC/tibetan-ocr-leaderboard)**
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(dozens of OCR systems scored on this benchmark).
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## Contents & schema
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One row per page. We deliberately keep **only fully-documentable** metadata; the
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4. Remove placeholder characters (`K O B I S`).
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5. `CER = Levenshtein(hyp, ref) / len(ref)` (rapidfuzz).
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a **catastrophic-page rate** (pages with CER > 0.5) so that runaway repetition is
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visible rather than hidden in the mean. Aggregate CER is an **unweighted mean over
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pages**.
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## Splits & integrity
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- `test` = **472 open images** (released here).
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- A **private holdout** (~382) and further withheld images (third-party / non-open)
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are **not released**, preserving a leakage-free evaluation set. Contact BDRC to run
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a system against the full benchmark.
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## License
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```bibtex
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@misc{bdrc_tibetan_ocr_benchmark_2026,
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title = {BDRC Tibetan OCR Benchmark},
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author = {
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year = {2026},
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howpublished = {Hugging Face},
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note = {https://huggingface.co/datasets/BDRC/tibetan-ocr-benchmark}
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}
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```
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Funded by the **Khyentse Foundation** ("The BDRC Etext Corpus").
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**preliminary (v1)** and may be updated.
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hand-transcribed pages; this open release is the 472 that can be shared. -->
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A hand-transcribed benchmark for evaluating Tibetan OCR across writing styles and
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technologies. This is an **open-access set of 472 page images** with ground-truth
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transcriptions and per-page metadata (script, technology, legibility).
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Companion to the model [`BDRC/tibetan-ocr`](https://huggingface.co/BDRC/tibetan-ocr)
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and the **[leaderboard](https://huggingface.co/spaces/BDRC/tibetan-ocr-leaderboard)**
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(dozens of OCR systems scored on this benchmark).
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The transcriptions were produced by [Dharmaduta](dharmaduta.in).
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The images were selected through detailed research on Tibetan writing styles in collaboration
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with Pentsok W. Rtsang who selected and cataloged the images. Most writing styles are represented
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in the benchmark, except those only present in images that cannot be made fully open access.
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## Contents & schema
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One row per page. We deliberately keep **only fully-documentable** metadata; the
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4. Remove placeholder characters (`K O B I S`).
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5. `CER = Levenshtein(hyp, ref) / len(ref)` (rapidfuzz).
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Aggregate CER is an **unweighted mean over pages**.
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## License
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```bibtex
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@misc{bdrc_tibetan_ocr_benchmark_2026,
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title = {BDRC Tibetan OCR Benchmark},
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author = {Buddhist Digital Resource Center},
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year = {2026},
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howpublished = {Hugging Face},
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note = {https://huggingface.co/datasets/BDRC/tibetan-ocr-benchmark}
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}
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```
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Funded by the **Khyentse Foundation** ("The BDRC Etext Corpus").
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