| ---
|
| license: other
|
| language:
|
| - az
|
| task_categories:
|
| - image-to-text
|
| tags:
|
| - ocr
|
| - azerbaijani
|
| - cyrillic
|
| - line-recognition
|
| size_categories:
|
| - 100K<n<1M
|
| ---
|
|
|
| # Azerbaijani OCR Lines
|
|
|
| Line-level training data for Azerbaijani text recognition, in Latin and
|
| Cyrillic script, extracted from scanned books.
|
|
|
| ## Fields
|
|
|
| | field | description |
|
| |---|---|
|
| | `image` | cropped text line, grayscale, height 48 px |
|
| | `text` | transcription |
|
| | `script` | `az_latin` or `az_cyrillic` |
|
| | `book` | anonymised source-book id |
|
|
|
| ## How it was built
|
|
|
| Pages come from scanned PDFs that already carried an OCR text layer. Line
|
| boxes were taken from that layer, rendered at 300 dpi and cropped. Books
|
| were kept only when at least 85% of a page's ink fell inside the layer's
|
| line boxes, which rejects documents whose text layer is misaligned with the
|
| image.
|
|
|
| ## Labels are not human-verified
|
|
|
| Transcriptions come from the pre-existing OCR layer, so the systematic
|
| errors of that engine are present in this data. Measured against an
|
| independently verified benchmark, roughly 40% of lines differ from what two
|
| vision-language models read from the same crop, most often where the engine
|
| dropped Azerbaijani-specific letters (`a` for `ə`, `к` for `ҝ`, `ч` for `ҹ`).
|
|
|
| Train on this; do not evaluate on it. Use
|
| [LocalDoc/azerbaijani-ocr-benchmark](https://huggingface.co/datasets/LocalDoc/azerbaijani-ocr-benchmark)
|
| for evaluation — its books are disjoint from this set.
|
|
|
| ## Composition
|
|
|
| Cyrillic is a small minority of lines. Sample with reweighting, or measure
|
| per-script performance separately, or the recogniser will underfit it.
|
|
|
| ## Normalisation
|
|
|
| Unicode NFC, typographic quotes and apostrophes folded to ASCII, soft
|
| hyphens removed. Pre-2004 orthography (`ən'ənə`), end-of-line hyphens and
|
| original typos are preserved as printed.
|
|
|
