Datasets:
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.