Datasets:

DatasetMan
/

PM4Bench-QGO-Train

license: apache-2.0
pretty_name: PM4Bench QGO Training Data
language:
  - ar
  - cs
  - en
  - hu
  - ko
  - ru
  - sr
  - th
  - vi
  - zh
task_categories:
  - image-to-text
tags:
  - synthetic
  - ocr
  - grpo
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train/*.parquet
      - split: validation
        path: data/test/*.parquet

PM4Bench QGO training data

This is the synthetic multilingual OCR corpus used for QGO-8B GRPO:

19,500 training rows
500 validation rows
embedded image bytes
prompt, rule-based reward target, answer, split, and auxiliary metadata

The release builder preserves row order and learning content. It changes only historical machine-specific image path strings to portable basenames. Per-shard source and release SHA-256 values are recorded in metadata/release_inventory.json.

The dataset is synthetic and released under Apache-2.0.

metadata/release_inventory.json records every shard's row count, byte size, source digest, release digest, and the only permitted transformation. The repository-level SHA256SUMS covers the complete public snapshot.

Training code and the exact reward implementation are available at https://github.com/opendatalab/PM4Bench/tree/main/recipes/qgo.