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# Visual-OPSD main training config (paper default, on-policy).
# Used by scripts/visual_opsd/run_visual_opsd.sh ->
# scripts/visual_opsd/train_visual_opsd.py.
# Each "visual_opsd" group is consumed by ``OPSDPairedIterableDataset``
# which emits raw envelopes (problem image + question + VT images +
# ground-truth answer for logging). The on-policy trainer then samples
# a completion from the student and packs the student/teacher batches
# per step.
visual_opsd:
dataset_names:
- Visual_Search
- Spatial_Navigation
- Jigsaw_Assembly
- Chart_Refocus
image_transform_args:
image_stride: 14
max_image_size: 980
min_image_size: 378
max_pixels: 2_007_040
is_mandatory: true
num_used_data:
- 6990
- 6000
- 6000
- 6000
weight: 1

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