Datasets:
| 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: `himalaya-ai/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. | |