Datasets:
update README: fix collision count (826), add realworld schema, split schema tables
Browse files
README.md
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## Dataset Structure
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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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## Subsets
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### `collision` —
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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
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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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## 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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| 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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## 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")
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