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license: cc-by-4.0
language:
- az
task_categories:
- image-to-text
tags:
- ocr
- azerbaijani
- cyrillic
- historical-documents
size_categories:
- 1K<n<10K
---
# Azerbaijani OCR Benchmark
Line-level OCR benchmark for Azerbaijani in both Latin and Cyrillic script,
built from scanned books.
## Fields
| field | description |
|---|---|
| `image` | cropped text line, grayscale, height 48 px |
| `text` | verbatim transcription |
| `script` | `az_latin` or `az_cyrillic` |
| `book` | anonymised source-book id |
## How labels were produced
Every line carries a label agreed on independently by three sources: the
OCR text layer already present in the source PDF, and two separate passes
of a vision-language model that saw only the image. Lines where the three
disagreed were excluded.
## Known limitations
Excluding disagreements removes the hardest lines, so absolute CER measured
here is optimistic relative to unconstrained material. Comparisons between
models on this benchmark remain valid. Disagreements concentrate on
`ҹ/ч`, `ҝ/к`, `ү/у` and on the vertical-stroke family `и/н/п/м`, which are
genuinely ambiguous at the print resolution of the sources.
Transcriptions are verbatim: pre-2004 orthography (`ən'ənə`), end-of-line
hyphens and original typos are preserved as printed.
## Evaluation
Report CER and WER overall, and separately per `script`. A diacritics-only
CER over `ə ı ğ ş ç ö ü İ` and their Cyrillic counterparts is the most
informative single number for this language.
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