README.md

---
task_categories:
- image-to-text
language:
- ne
- hi
- mr
tags:
- ocr
- devanagari
- glm-ocr
pretty_name: Ocr Document Processing Eval
---

# ocr_document_processing_eval

Document-processing OCR proxy for digitization, KYC-like numeric fields, and RAG extraction checks.

- Repo: `himalaya-ai/ocr-document-processing-eval`
- Task: `document_processing_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`.

## Source Mix

- `indic_vision_bench_deva_ocr` `ocr/test`: 40%
- `nayana_bench_deva_documents` `default/hi`: 20%
- `nayana_bench_deva_documents` `default/mr`: 15%
- `devanagari_digits_mixed` `default/train`: 15%
- `hindi_handwritten_word_ocr` `default/test`: 10%

## 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.