Datasets:
File size: 1,234 Bytes
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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>.
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