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, vision/release-audit.json,
vision/build-manifest.json, and vision/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, sources.yaml
and the reproducible update script.
Images, questions, choices, targets, IDs and source splits are unchanged.