# Visual decisions


Load `load_dataset("tasksource/tasksource-jev-typed-decisions", "vision")` for the multimodal pilot (66,085 train, 475 test, 972 validation).
It covers ai2d, aokvqa, bapps/preference, clevr/color, clevr/count, clevr/material, clevr/shape, clevr/size, clevr/yesno, coco/panoptic-region, doclaynet/region, figureqa, intergps, lvis/region, mapqa/yesno, nlvr2, rico-widget/element, rico-widget/grid7, scienceqa-img, spair71k/grid7, superclevr/color, superclevr/count, superclevr/material, superclevr/shape, superclevr/size, superclevr/yesno, tallyqa/count, tqa, visual7w, vsr/yesno, with genuine source labels.
`state`, `question`, `kind`, `options`, and `target` retain their existing decision semantics.
`images` is an ordered sequence of Hugging Face Image features. Source bytes are preserved
unless `metadata.augmentation` records rendering (SoM, region highlighting or source keypoint marks); images decode on access.
Feed the images alongside `state` through your model's image adapter.
NLVR2 retains its two images in source order. Answer options remain text.

`metadata` is a JSON string preserving available source identifiers, pinned provenance,
and separate Hub-card/DPI license evidence. `license` and `license_use` are also available
as columns; missing or conflicting evidence is retained rather than replaced by an inferred license.
See [vision/sources.yaml](sources.yaml), [vision/release-audit.json](release-audit.json),
[vision/build-manifest.json](build-manifest.json), and [vision/quality-audit.json](quality-audit.json)
when the materialized release was audited.

Sampling: full-source uniform reservoirs, shared per-family export caps, with per-task checkpoint provenance. Sampling caps and checkpoint provenance are recorded in the manifests.
Visual task views share one export budget per dataset family, including CLEVR, TallyQA, and RICO;
individual task IDs remain in `source`, and family totals appear in `release-audit.json`.
Only native labeled splits are used. Source action identities group related GUI decisions;
other decisions sharing the same ordered image set and text state share `group_id`.
`metadata.image_group_id` links source image groups across questions and augmentation variants.
Evaluation rows sharing any image with training are excluded.
This initial config contains direct decisions; text packing and derived variants are disabled.
Typed request renderers preserve images; model-specific image transport remains the caller's responsibility.


## Component-level license evidence


This review supersedes earlier license-use counts. All sources remain included.
Training: **26,987 commercial, 13,000 non-commercial,
26,098 unresolved complete-row coverage**. Counts describe scoped
license evidence, not legal clearance of each image.

**FigureQA's official archive contains Microsoft Research Open Data License terms:
non-commercial research/testing only; dataset redistribution and standalone hosting
are prohibited.** Its generator's MIT license covers code. The retained FigureQA
rows are explicitly flagged `redistribution: prohibited`; their inclusion here does
not grant redistribution rights. BAPPS training patches inherit Adobe / Adobe-MIT
research image terms; its software BSD license does not clear the images.

NLVR2 annotations and VSR annotation cards specify CC BY 4.0. TallyQA and A-OKVQA
repositories specify Apache 2.0; InterGPS's data/code repository specifies MIT.
These terms do not clear third-party images. COCO per-image grants, NLVR2 photo
rights, imported TallyQA QAs and SPair PASCAL/Flickr terms still need row-level
resolution. No explicit Visual7W annotation grant was found in checked original
project/toolkit documentation. These are documented coverage gaps, not a claim
that every upstream component has no license.

Every reviewed row has `metadata.licenses.license_review` with separate annotation
and image terms, evidence URLs, review status and unresolved reasons. See
[license-review.json](license-review.json), [sources.yaml](sources.yaml)
and [the reproducible update script](update_vision_license_metadata.py).
Images, questions, choices, targets, IDs and source splits are unchanged.