Datasets:

Reza2kn
/

persian-ocr-double-benchmark

language:
  - fa
task_categories:
  - image-to-text
tags:
  - ocr
  - persian
  - benchmark
  - handwriting
  - printed-text
pretty_name: Persian OCR Double Benchmark
configs:
  - config_name: default
    data_files:
      - split: printed
        path: data/printed-*.parquet
      - split: handwriting
        path: data/handwriting-*.parquet

Persian OCR Double Benchmark

A frozen, leakage-controlled Persian OCR benchmark with two equally weighted splits:

printed: 6,669 rows carved from Reza2kn/persian-printed-ocr-3.5m at ba02f36c3d496838d8fad9aff352b77763af1ea4.
handwriting: 6,669 rows carved from Reza2kn/persian-handwriting-pages-3.69m at b114f0a36a6a2e397bc93517dd084431bfca2329.

The exact rows were uploaded here before being removed from their source training repositories. Each row retains its original repository, revision, Parquet shard, row index, image SHA-256, and deterministic selection hash. Selection uses seed 6,669 over multiple deterministic candidate shards, followed by stable content-hash ordering.

Metrics

Models are scored separately on each split with corpus-level Persian-normalized WER and CER, ShenavaSanj S³, and essential-word error. S³ is the sum of ShenavaSanj importance for substituted or deleted reference words divided by total reference importance. Essential words have importance at least 0.8. The Triple Threat score is the mean of WER, CER, and S³; the combined leaderboard uses an equal 50/50 macro-average across the two splits. Lower is better.

Manifest SHA-256: 632e4f53a295dd0110c1806caba9f070e6f7b3e3e96db61c4e1ad72f86d62a50