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update README: fix collision count (826), add realworld schema, split schema tables

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  1. README.md +14 -6
README.md CHANGED
@@ -28,7 +28,7 @@ configs:
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  ## Dataset Structure
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- Each subset shares the same schema:
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  | Field | Type | Description |
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  |---|---|---|
@@ -38,9 +38,20 @@ Each subset shares the same schema:
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  | `image` | image | Rendered scene image |
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  | `not_sure` | string | Option label corresponding to "Not sure" |
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  ## Subsets
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- ### `collision` — 413 samples
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  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.
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  > *Note: Floor strip spacing encodes depth perspective.*
@@ -60,20 +71,17 @@ Ball trajectory prediction across three sports scenarios:
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  - **Billiard**: Will a ball reach a pocket given the cue ball's direction?
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  ### `realworld` — 116 samples
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- Real-world driving and street scene photographs. The model must reason about physical outcomes in real images across four question types:
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  - **collision**: Will a moving vehicle collide with another object?
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  - **occlusion**: Will an object be occluded given a movement?
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  - **compatibility**: Can an object fit into or pass through a space?
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  - **trajectory**: What trajectory will a moving object follow?
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- Each sample has an `options` field (list of answer choices) and a `type` field indicating the question category.
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-
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  ## Usage
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  ```python
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  from datasets import load_dataset
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- # Load a specific subset
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  ds = load_dataset("Mwxinnn/CausalSpatial", name="collision")
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  ds = load_dataset("Mwxinnn/CausalSpatial", name="physics")
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  ds = load_dataset("Mwxinnn/CausalSpatial", name="compatibility")
 
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  ## Dataset Structure
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+ ### Synthetic subsets (`collision`, `compatibility`, `occlusion`, `physics`)
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  | Field | Type | Description |
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  |---|---|---|
 
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  | `image` | image | Rendered scene image |
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  | `not_sure` | string | Option label corresponding to "Not sure" |
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+ ### Real-world subset (`realworld`)
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+
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+ | Field | Type | Description |
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+ |---|---|---|
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+ | `id` | string | Unique sample identifier |
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+ | `type` | string | Question category (collision / occlusion / compatibility / trajectory) |
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+ | `question` | string | Multiple-choice question |
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+ | `options` | list[string] | Answer choices (e.g. `["Yes", "No"]`) |
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+ | `answer` | string | Correct answer text |
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+ | `image` | image | Real-world scene photo |
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+
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  ## Subsets
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+ ### `collision` — 826 samples
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  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.
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  > *Note: Floor strip spacing encodes depth perspective.*
 
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  - **Billiard**: Will a ball reach a pocket given the cue ball's direction?
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  ### `realworld` — 116 samples
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+ Real-world driving and street scene photographs. The model must reason about physical outcomes across four question types:
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  - **collision**: Will a moving vehicle collide with another object?
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  - **occlusion**: Will an object be occluded given a movement?
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  - **compatibility**: Can an object fit into or pass through a space?
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  - **trajectory**: What trajectory will a moving object follow?
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  ## Usage
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  ```python
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  from datasets import load_dataset
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  ds = load_dataset("Mwxinnn/CausalSpatial", name="collision")
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  ds = load_dataset("Mwxinnn/CausalSpatial", name="physics")
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  ds = load_dataset("Mwxinnn/CausalSpatial", name="compatibility")