Datasetpublic

himalaya-ai/indic-deva-ocr-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… See the full description on the dataset page: https://huggingface.co/datasets/himalaya-ai/indic-deva-ocr-eval.

sourceHugging Faceupdated 4mo agoView on Hugging Face

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Dataset Card

indicdevaeval

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.