File size: 4,515 Bytes
cbb3258 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 | # PhysicsMind Video Dataset
This is the video generation (VG) component of the **PhysicsMind** benchmark, a unified physics-grounded benchmark that evaluates both reasoning and prediction under the same physical laws in both simulated and real-world settings.
## About PhysicsMind
PhysicsMind is designed to evaluate whether video generation models can produce physically plausible motion trajectories that obey center-of-mass, torque, and inertial constraints. The benchmark focuses on three canonical mechanics scenarios:
1. **Center of Mass** - Measuring center of gravity by suspension method
2. **Lever Equilibrium** - Lever balance conditions
3. **Newton's First Law** - Inertia verification experiments
Each scenario is realized with diverse real tabletop experiments and 2D simulations, enabling evaluation of whether models trained in simulation environments generalize well under real-world noise, dynamic differences, and visual variability.
## Directory Structure
```
vieo_data/
├── Lever_Balance_Conditions/
│ ├── Boundary_Frames/
│ │ ├── Lever_Balance_Conditions_X_Initial_Frame.png
│ │ └── Lever_Balance_Conditions_X_Final_Frame.png
│ ├── video/
│ │ └── Lever_Balance_Conditions_X.mov
│ ├── data_lever_balance_en.json
│ ├── data_lever_balance_scene_en.json
│ └── data_lever_balance_scene_object_law_en.json
│
├── Verification_of_Newton's First_Law/
│ ├── Boundary_Frames/
│ │ ├── Newtons_First_Law_X_Initial_Frame.png
│ │ └── Newtons_First_Law_X_Final_Frame.png
│ ├── video/
│ │ └── Newtons_First_Law_X.mp4
│ ├── data_newton_first_law_en.json
│ ├── data_newton_first_law_scene_en.json
│ └── data_newton_first_law_scene_action_law_en.json
│
└── Measuring_Center_of_Gravity_by_Suspension_Method/
├── real/
│ ├── Boundary_Frames/
│ │ ├── Center_of_Gravity_Suspension_X_Initial_Frame.png
│ │ └── Center_of_Gravity_Suspension_X_Final_Frame.png
│ ├── video/
│ │ └── Center_of_Gravity_Suspension_X.mp4
│ ├── data.json
│ ├── data_scene.json
│ └── data_scene_action_law.json
│
└── sim/
├── Boundary_Frames/
│ ├── Center_of_Gravity_Suspension_Sim_X_Initial_Frame.png
│ └── Center_of_Gravity_Suspension_Sim_X_Final_Frame.png
├── video/
│ └── Center_of_Gravity_Suspension_Sim_X.mp4
├── data.json
├── original_prompts.json
├── refined_prompts.json
└── negative_prompts.json
```
## Experiments
### 1. Lever Balance Conditions
Demonstrates lever equilibrium principles, showing how forces and distances from the fulcrum affect balance. Videos feature varying initial setups and object types.
### 2. Verification of Newton's First Law (Inertia)
Illustrates Newton's First Law of Motion through tablecloth-pull experiments with varying pulling speeds and object masses.
### 3. Measuring Center of Gravity by Suspension Method
Shows how to determine an object's center of gravity using the suspension method with varying object shapes and suspension points.
- **real/**: Real-world tabletop experiment recordings
- **sim/**: 2D simulated videos
## File Descriptions
| File | Description |
|------|-------------|
| `Boundary_Frames/` | Initial and final frame images for each video |
| `video/` | Video files (.mov or .mp4) |
| `data*.json` | Basic metadata with video name, path, category, and prompts |
| `*_scene*.json` | Scene-level descriptions |
| `*_action_law*.json` or `*_object_law*.json` | Physics law and action descriptions |
| `original_prompts.json` | Original text prompts for video generation |
| `refined_prompts.json` | Refined/improved prompts |
| `negative_prompts.json` | Negative prompts for video generation |
## JSON Fields
- **Video Name**: Filename of the video
- **Video Path (Relative)**: Relative path to the video file
- **Category**: Experiment category
- **Initial Frame**: Path to the first frame image
- **Final Frame**: Path to the last frame image
- **Prompt**: Text description of the video content
## Citation
If you use this dataset, please cite the PhysicsMind paper.
|