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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.
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