| --- |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: indic_deva_eval.viewer.ocr.parquet |
| task_categories: |
| - image-to-text |
| language: |
| - ne |
| - hi |
| - mr |
| tags: |
| - ocr |
| - devanagari |
| - glm-ocr |
| pretty_name: Indic Deva Eval |
| --- |
| |
| # indic_deva_eval |
|
|
| Broad Indic Devanagari OCR benchmark across printed pages, digits, word crops, and handwriting. |
|
|
| - Repo: `Shan99/indic-deva-ocr-eval` |
| - Task: `indic_devanagari_ocr` |
| - Main raw file: `*.ocr.jsonl` with `image`, `ocr`, `source_repo`, and language/provenance columns. |
| - Optional fine-tuning/eval file: `*.sharegpt.json` with `messages` and `images`. |
|
|
| ## Core Columns |
|
|
| - `id`: unique sample identifier |
| - `image`: relative path to the image file |
| - `ocr`: ground-truth text label |
|
|
| ## Source Mix |
|
|
| - `devanagari_page_ocr` `default/test`: 25% |
| - `indic_vision_bench_deva_ocr` `ocr/test`: 25% |
| - `indic_mozhi_deva_word_ocr` `hindi/test`: 15% |
| - `indic_mozhi_deva_word_ocr` `marathi/test`: 15% |
| - `hindi_handwritten_word_ocr` `default/test`: 15% |
| - `devanagari_digits_mixed` `default/train`: 5% |
|
|
| ## Notes |
|
|
| Generated by `scripts/sample_ocr_eval_sets.py` from the GLM fine-tuning workspace. |
| If a source only exposes a train split, keep the deterministic held-out row ids out of SFT/training runs. |
|
|
