Merge v2 into main: updated collision/physics/compatibility QA + new README

README.md

@@ -7,16 +7,70 @@ task_categories:
 tags:
 - vision
 - benchmark
+- spatial-reasoning
+- causal-reasoning
 configs:
 - config_name: collision
   data_files: "collision/*"
-- config_name: physics
-  data_files: "physics/*"
 - config_name: compatibility
   data_files: "compatibility/*"
 - config_name: occlusion
   data_files: "occlusion/*"
+- config_name: physics
+  data_files: "physics/*"
 ---
 
-# CausalSpatial: A Comprehensive Benchmark for Object-Centric Causal Spatial Reasoning
+# CausalSpatial
+
+**CausalSpatial** is a visual question answering benchmark for evaluating object-centric causal spatial reasoning in vision-language models. Each question presents a 3D-rendered scene and asks the model to reason about physical outcomes — not just what is visible, but what *would happen* given a specific action or trajectory.
+
+## Dataset Structure
+
+Each subset shares the same schema:
+
+| Field | Type | Description |
+|---|---|---|
+| `id` | string | Unique sample identifier |
+| `question` | string | Multiple-choice question |
+| `answer` | string | Correct option label (e.g. `A`, `B`) |
+| `image` | image | Rendered scene image |
+| `not_sure` | string | Option label corresponding to "Not sure" |
+
+## Subsets
+
+### `collision` — 413 samples
+A toy car is placed on a floor with objects nearby. The model must judge whether the car will collide with something if it moves forward, and if so, which object to remove to prevent the collision.
+
+> *Note: Floor strip spacing encodes depth perspective.*
+
+### `compatibility` — 99 samples
+An object is suspended above a container. The model must judge whether the object can fit into the container if it falls freely.
+
+> *Note: The falling object is positioned directly above the container.*
+
+### `occlusion` — 189 samples
+A car is parked in front of a cabinet. The model must judge whether an item inside the cabinet can be retrieved without being blocked, depending on the car's direction of movement.
+
+### `physics` — 311 samples
+Ball trajectory prediction across three sports scenarios:
+- **Soccer**: Will the ball enter the goal along the shown trajectory?
+- **Basketball**: Will the ball go through the basket along the shown arc?
+- **Billiard**: Will a ball reach a pocket given the cue ball's direction?
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load a specific subset
+ds = load_dataset("Mwxinnn/CausalSpatial", name="collision")
+ds = load_dataset("Mwxinnn/CausalSpatial", name="physics")
+ds = load_dataset("Mwxinnn/CausalSpatial", name="compatibility")
+ds = load_dataset("Mwxinnn/CausalSpatial", name="occlusion")
+
+print(ds["train"][0])
+```
+
+## License
 
+MIT

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