Copy of Zane-QIU/XVReason-VisualShift @ 6875f0a

README.md

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+---
+license: other
+license_name: mixed-see-licence-section
+task_categories:
+- image-to-video
+language:
+- en
+tags:
+- video-reasoning
+- visual-domain-shift
+- blender
+- benchmark
+pretty_name: XVReason Visual Shift
+size_categories:
+- n<1K
+configs:
+- config_name: vbvr_bench_visual_shift
+  data_files: vbvr_bench_visual_shift/bench_index.csv
+- config_name: viper
+  data_files: edited_first_frames/viper/index.csv
+- config_name: genvire
+  data_files: edited_first_frames/genvire/index.csv
+- config_name: vreasonbench
+  data_files: edited_first_frames/vreasonbench/index.csv
+- config_name: videothinkbench
+  data_files: edited_first_frames/videothinkbench/index.csv
+---
+
+# XVReason Visual Shift
+
+The inputs of the visual-domain-shift evaluation in *Video Reasoning Generalizes to Perception,
+Embodiment, and Real-World Simulation*. It asks whether a model fine-tuned on abstract reasoning
+videos (flat shapes, grids, simple colours) still reasons when the same problem is shown as a
+natural scene. Every item here is a one-to-one counterpart of an item in an existing benchmark,
+with the task and its answer unchanged and only the appearance changed.
+
+| part | items | counterpart of | what changed |
+|---|---:|---|---|
+| `vbvr_bench_visual_shift/` | 500 | VBVR-Bench | the whole clip, re-staged in Blender |
+| `edited_first_frames/viper/` | 145 | VIPER | the first frame |
+| `edited_first_frames/genvire/` | 39 | Gen-ViRe | the first frame |
+| `edited_first_frames/vreasonbench/` | 17 | V-ReasonBench | the first frame |
+| `edited_first_frames/videothinkbench/` | 162 | VideoThinkBench (eyeballing + visual puzzles) | the first frame |
+
+Code to generate and score: [`Zane-ZYQiu/xvreason`](https://github.com/Zane-ZYQiu/xvreason),
+`bench/` (see its README, section *Visual shift*).
+
+## `vbvr_bench_visual_shift/` — VBVR-Bench re-rendered as natural scenes
+
+Each of VBVR-Bench's 500 items (100 task families x 5 samples) is re-staged as a Blender scene:
+billiard balls instead of a bouncing dot, a hedge maze instead of a grid. The answer is rebuilt
+analytically from the original item's stored state, so it is preserved by construction, and each
+clip keeps the original's frame count and frame rate. Clips are 1024 x 1024 H.264.
+This is the final set (revision `44dc965` of the renderers' working repo, 2026-09-25).
+
+| file | |
+|---|---|
+| `bench_index.csv` | one row per VBVR-Bench item: `bench_id` (the item's VBVR-Bench path), the clip, its first frame, the natural-domain `prompt` and the original `source_prompt` |
+| `first_frames/<split>/<task>/<sample>.png` | frame 0 of each clip, the image the model is conditioned on |
+| `videos/<family>/<sample>/<variant>/video.mp4` | the rendered clips (ground truth for the evaluator) |
+| `inputs/<family>/<sample>/input.json` | the recovered task state each clip was rendered from |
+| `metadata.csv`, `meta/<family>.jsonl` | per-clip provenance, hashes and the checks each clip passed |
+| `rendering/README.md` | how to re-render a clip with the scene builders in the GitHub repo |
+
+A model is prompted with the natural `prompt` and conditioned on the first frame. VBVR-Bench's own
+evaluator finds task elements by hard-coded colour and so cannot score these clips; the natural
+evaluator in the GitHub repo (`bench/score/vbvr_bench_natural/`) applies the same per-family criteria
+with detectors that work on rendered scenes, and was validated against a 19-control battery.
+
+## `edited_first_frames/` — edited first frames for four benchmarks
+
+Each first frame is moved into a genuinely real-world scene while the task and its answer stay the
+same -- a ball sketch becomes chutes and bins in a factory, tic-tac-toe becomes cinnamon sticks and
+cookies on a floured board, a maze becomes a garden hedge maze.
+
+For each item a VLM (Gemini 3.8 Flash) brainstormed real-world scenes and wrote an edit instruction;
+Nano Banana applied it; a second VLM pass accepted the result only if the task logic was intact and
+the image was a convincing real-world scene, with up to three attempts. Position-critical items
+(geometric constructions, colour puzzles) were also checked on an overlay of the original and the
+edit, and their candidate letters had to stay legible.
+
+`index.csv` in each folder maps the benchmark's item `id` to the edited image `file`. Everything else
+about each item stays as in the original benchmark: the prompt, the reference frames, and the scoring.
+
+## Licence
+
+The Blender scenes, renders, first frames, edit instructions and edited images are released under
+**CC BY 4.0**. Each part is derived from a third-party benchmark, and that benchmark's terms still
+apply to what came from it:
+
+- VBVR-Bench is Apache-2.0.
+- VIPER is MIT.
+- VideoThinkBench is MIT.
+- V-ReasonBench is Apache-2.0.
+- Gen-ViRe's dataset states no licence.
+
+The render bundles use HDRIs and PBR textures from Poly Haven and ambientCG, both CC0.