| ---
|
| language:
|
| - az
|
| license: cc-by-4.0
|
| task_categories:
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| - image-to-text
|
| tags:
|
| - htr
|
| - handwritten-text-recognition
|
| - azerbaijani
|
| - ocr
|
| - benchmark
|
| pretty_name: Azerbaijani Handwritten OCR Benchmark
|
| configs:
|
| - config_name: lines
|
| data_files:
|
| - split: test
|
| path: lines/test-*
|
| - config_name: pages
|
| data_files:
|
| - split: test
|
| path: pages/test-*
|
| ---
|
|
|
| # Azerbaijani Handwritten OCR Benchmark
|
|
|
| A manually annotated benchmark for handwritten text recognition (HTR) on Azerbaijani Latin script. Real-world scanned pages annotated in Label Studio with rotated bounding boxes and exact transcriptions.
|
|
|
| Provided in two parallel views:
|
|
|
| ## `lines` — Line-level recognition
|
|
|
| Cropped images of single text lines paired with their transcription. Rotated regions are deskewed (warped to be axis-aligned) so each crop shows the line horizontally.
|
|
|
| - **Total lines:** 442
|
| - **Source pages:** 29
|
| - **Avg lines per page:** 15.2
|
|
|
| Schema:
|
|
|
| | Field | Type | Description |
|
| |---|---|---|
|
| | `image` | Image | Cropped (and deskewed if rotated) line image |
|
| | `text` | string | Ground truth transcription |
|
| | `page_id` | string | Source page identifier |
|
| | `line_id` | int | Line index within page |
|
| | `source_image` | string | Original scan filename |
|
|
|
| ```python
|
| from datasets import load_dataset
|
| ds = load_dataset("LocalDoc/azerbaijani-htr-benchmark", "lines", split="test")
|
| print(ds[0])
|
| ```
|
|
|
| ## `pages` — Full-page with structured annotations
|
|
|
| Original scanned pages with axis-aligned bounding boxes (computed from the rotated polygons) and transcriptions of all lines.
|
|
|
| Schema:
|
|
|
| | Field | Type | Description |
|
| |---|---|---|
|
| | `image` | Image | Full page scan |
|
| | `page_id` | string | Page identifier |
|
| | `source_image` | string | Original scan filename |
|
| | `image_width` | int | Width of served image (pixels) |
|
| | `image_height` | int | Height of served image (pixels) |
|
| | `num_lines` | int | Number of annotated lines |
|
| | `lines` | list | Per-line annotations |
|
| | `full_text` | string | All line texts joined with newlines |
|
|
|
| ```python
|
| from datasets import load_dataset
|
| ds = load_dataset("LocalDoc/azerbaijani-htr-benchmark", "pages", split="test")
|
| sample = ds[0]
|
| print(f"Page {sample['page_id']}: {sample['num_lines']} lines")
|
| # HF stores Sequence(of dict) as dict-of-lists. Iterate by index:
|
| for i in range(sample["num_lines"]):
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| line_id = sample["lines"]["line_id"][i]
|
| bbox = sample["lines"]["bbox"][i]
|
| text = sample["lines"]["text"][i]
|
| print(f" Line {line_id}: bbox={bbox}, text={text}")
|
| ```
|
|
|
| ## Linking between configs
|
|
|
| Same `page_id` and `line_id` connect entries across both configs.
|
|
|
| ## How it was built
|
|
|
| 1. Real Azerbaijani handwritten pages were collected
|
| 2. Uploaded to Label Studio for annotation
|
| 3. Each line was manually bounded with a (possibly rotated) rectangle and transcribed
|
| 4. For `lines` config: rotated regions are deskewed via affine transform so crops are horizontal
|
| 5. For `pages` config: rotated polygons are converted to their axis-aligned bounding boxes
|
| 6. Page images optionally downscaled to max 2200px for file size
|
|
|
| ## Notes
|
|
|
| - Transcriptions are **literal** — handwriting errors preserved as written
|
| - Rotated bboxes are handled correctly via perspective transform
|
| - `lines` crops have 4px padding around text
|
| - `pages` bbox coords are in pixels of the served image (after resize)
|
|
|
| ## License
|
|
|
| [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
|
|
|
