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- README.md +163 -0
- manifest.json +53 -0
- train/avalanche.tar.gz +3 -0
- train/basketball.tar.gz +3 -0
- train/billiards.tar.gz +3 -0
- train/breakout.tar.gz +3 -0
- train/bridge.tar.gz +3 -0
- train/chain.tar.gz +3 -0
- train/conveyor.tar.gz +3 -0
- train/dominos.tar.gz +3 -0
- train/explosion.tar.gz +3 -0
- train/funnel.tar.gz +3 -0
- train/head_on.tar.gz +3 -0
- train/jenga.tar.gz +3 -0
- train/marble_run.tar.gz +3 -0
- train/orbit.tar.gz +3 -0
- train/pendulum.tar.gz +3 -0
- train/pinball.tar.gz +3 -0
- train/plinko.tar.gz +3 -0
- train/projectile.tar.gz +3 -0
- train/pyramid.tar.gz +3 -0
- train/pyramid/0001681/scene_01681086.jsonl +0 -0
- train/pyramid/0001681/scene_01681100.jsonl +0 -0
- train/pyramid/0001681/scene_01681175.jsonl +0 -0
- train/pyramid/0001681/scene_01681209.jsonl +0 -0
- train/pyramid/0001681/scene_01681234.jsonl +0 -0
- train/pyramid/0001681/scene_01681308.jsonl +0 -0
- train/pyramid/0001681/scene_01681345.jsonl +0 -0
- train/pyramid/0001681/scene_01681365.jsonl +0 -0
- train/pyramid/0001681/scene_01681381.jsonl +0 -0
- train/pyramid/0001681/scene_01681426.jsonl +0 -0
- train/pyramid/0001681/scene_01681429.jsonl +0 -0
- train/pyramid/0001681/scene_01681433.jsonl +0 -0
- train/pyramid/0001681/scene_01681438.jsonl +0 -0
- train/pyramid/0001681/scene_01681730.jsonl +0 -0
- train/pyramid/0001681/scene_01681754.jsonl +0 -0
- train/pyramid/0001681/scene_01681824.jsonl +0 -0
- train/pyramid/0001681/scene_01681834.jsonl +0 -0
- train/pyramid/0001681/scene_01681877.jsonl +0 -0
- train/pyramid/0001681/scene_01681920.jsonl +0 -0
- train/pyramid/0001681/scene_01681939.jsonl +0 -0
- train/pyramid/0001687/scene_01687000.jsonl +0 -0
- train/pyramid/0001687/scene_01687001.jsonl +0 -0
- train/pyramid/0001687/scene_01687002.jsonl +0 -0
- train/pyramid/0001687/scene_01687003.jsonl +0 -0
- train/pyramid/0001687/scene_01687004.jsonl +0 -0
- train/pyramid/0001687/scene_01687005.jsonl +0 -0
- train/pyramid/0001687/scene_01687006.jsonl +0 -0
- train/pyramid/0001687/scene_01687007.jsonl +0 -0
- train/pyramid/0001687/scene_01687008.jsonl +0 -0
README.md
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| 1 |
+
---
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| 2 |
+
language:
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| 3 |
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- en
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| 4 |
+
- ru
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| 5 |
+
license: apache-2.0
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| 6 |
+
task_categories:
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| 7 |
+
- text-generation
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| 8 |
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tags:
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| 9 |
+
- physics
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| 10 |
+
- simulation
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| 11 |
+
- 2d-physics
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| 12 |
+
- rigid-body
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| 13 |
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- pymunk
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| 14 |
+
- synthetic
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| 15 |
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- scene-generation
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| 16 |
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size_categories:
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| 17 |
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- 1M<n<10M
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| 18 |
+
---
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| 19 |
+
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| 20 |
+
# Physics Generalization Dataset
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| 21 |
+
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| 22 |
+
**1,000,020 diverse 2D rigid body physics simulation scenes** for training and evaluating LLMs on physics prediction tasks.
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| 23 |
+
|
| 24 |
+
## Overview
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| 25 |
+
|
| 26 |
+
This dataset contains procedurally generated physics simulations across **30 distinct scenario types** organized in 6 categories. Unlike typical physics datasets that only feature random objects falling in a box, this dataset covers a wide range of physical phenomena: collisions, stacking, ramps, pendulums, constraints, and mini-game-inspired physics.
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| 27 |
+
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| 28 |
+
Each scene is a 200-frame simulation at 1/60s timestep using the Pymunk (Chipmunk2D) physics engine, exported in JSONL format with rich metadata.
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| 29 |
+
|
| 30 |
+
## Dataset Structure
|
| 31 |
+
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| 32 |
+
### Splits
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| 33 |
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| 34 |
+
| Split | Scenes | Scenario Types | Purpose |
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| 35 |
+
|-------|--------|----------------|---------|
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| 36 |
+
| **train** | 900,000 | 24 (seen only) | Training |
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| 37 |
+
| **val** | 100,020 | 30 (seen + unseen) | Evaluation |
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| 38 |
+
|
| 39 |
+
### Unseen Scenarios (held out from training)
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| 40 |
+
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| 41 |
+
6 scenario types appear **only in val**, enabling out-of-distribution generalization evaluation:
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| 42 |
+
|
| 43 |
+
| Difficulty | Scenario | Description |
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| 44 |
+
|-----------|----------|-------------|
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| 45 |
+
| Simple | `pong` | Ball bouncing between two paddles (zero gravity) |
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| 46 |
+
| Simple | `bowling` | Heavy ball rolling toward arranged pins |
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| 47 |
+
| Simple | `ramp_roll` | Objects rolling down an inclined plane |
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| 48 |
+
| Complex | `angry_birds` | Projectile launched at multi-layer block structure |
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| 49 |
+
| Complex | `hourglass` | Objects falling through narrow gap between chambers |
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| 50 |
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| Complex | `newtons_cradle` | Balls suspended by pin joints, momentum transfer |
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| 51 |
+
|
| 52 |
+
### Seen Scenarios (in both train and val)
|
| 53 |
+
|
| 54 |
+
24 scenario types with 37,500 samples each in train:
|
| 55 |
+
|
| 56 |
+
**Collision & Ballistics:** `billiards`, `breakout`, `explosion`, `head_on`, `projectile`
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| 57 |
+
|
| 58 |
+
**Stacking & Structural:** `bridge`, `dominos`, `jenga`, `pyramid`, `tower`
|
| 59 |
+
|
| 60 |
+
**Ramps & Terrain:** `funnel`, `marble_run`, `plinko`, `ski_jump` (+ unseen `ramp_roll`)
|
| 61 |
+
|
| 62 |
+
**Pendulums & Constraints:** `chain`, `pendulum`, `seesaw`, `wrecking_ball` (+ unseen `newtons_cradle`)
|
| 63 |
+
|
| 64 |
+
**Mini-game Physics:** `basketball`, `pinball` (+ unseen `angry_birds`, `bowling`, `pong`)
|
| 65 |
+
|
| 66 |
+
**Complex & Chaotic:** `avalanche`, `conveyor`, `orbit`, `wind` (+ unseen `hourglass`)
|
| 67 |
+
|
| 68 |
+
## Data Format
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| 69 |
+
|
| 70 |
+
Each scene is a JSONL file (1 header line + 200 frame lines).
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| 71 |
+
|
| 72 |
+
### Header (line 1)
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| 73 |
+
```json
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| 74 |
+
{
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| 75 |
+
"type": "scene_header",
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| 76 |
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"seed": 1315353,
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| 77 |
+
"scenario_type": "explosion",
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| 78 |
+
"scenario_category": "collision",
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| 79 |
+
"difficulty": 4,
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| 80 |
+
"description": "Explosion: 25 objects flying outward from center.",
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| 81 |
+
"object_count": 25,
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| 82 |
+
"gravity": {"x": 0.0, "y": -981.0},
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| 83 |
+
"timestep": 0.016666666666666666,
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| 84 |
+
"static_geometry": [...],
|
| 85 |
+
"constraints": [...],
|
| 86 |
+
"objects": [
|
| 87 |
+
{
|
| 88 |
+
"id": 0, "type": "circle",
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| 89 |
+
"position": {"x": 401.23, "y": 302.45},
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| 90 |
+
"material": {"mass": 2.5, "friction": 0.6, "elasticity": 0.7},
|
| 91 |
+
"radius": 15.3
|
| 92 |
+
}
|
| 93 |
+
]
|
| 94 |
+
}
|
| 95 |
+
```
|
| 96 |
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|
| 97 |
+
### Frame (lines 2-201)
|
| 98 |
+
```json
|
| 99 |
+
{
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| 100 |
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"frame": 1,
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| 101 |
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"description": "Frame 1: All objects are in motion.",
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| 102 |
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"objects": [
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| 103 |
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{
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| 104 |
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"id": 0, "type": "circle",
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| 105 |
+
"position": {"x": 415.67, "y": 318.90},
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| 106 |
+
"velocity": {"x": 280.5, "y": 320.1},
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| 107 |
+
"angle": 0.052,
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| 108 |
+
"angular_velocity": 0.003,
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| 109 |
+
"material": {"mass": 2.5, "friction": 0.6, "elasticity": 0.7}
|
| 110 |
+
}
|
| 111 |
+
]
|
| 112 |
+
}
|
| 113 |
+
```
|
| 114 |
+
|
| 115 |
+
## Key Features
|
| 116 |
+
|
| 117 |
+
- **30 scenario types** with qualitatively different physics (not just parameter variation)
|
| 118 |
+
- **Difficulty scaling** (1-5) per scenario: controls object count, velocity, structural complexity
|
| 119 |
+
- **Deterministic** generation via seed-based RNG
|
| 120 |
+
- **Constraints/Joints**: PinJoint, PivotJoint for pendulums, seesaws, chains, Newton's cradle
|
| 121 |
+
- **Custom static geometry**: ramps, funnels, peg grids, bumpers, hourglass chambers, basketball hoops
|
| 122 |
+
- **Rich text descriptions** for each scene (useful as LLM context)
|
| 123 |
+
- **Zero gravity** scenarios: billiards, pong, orbit
|
| 124 |
+
- **Initial velocities**: projectiles, explosions, head-on collisions (not just "objects at rest")
|
| 125 |
+
- **Clean train/unseen split** for generalization evaluation
|
| 126 |
+
|
| 127 |
+
## Physics Engine
|
| 128 |
+
|
| 129 |
+
- **Pymunk** (Python wrapper for Chipmunk2D)
|
| 130 |
+
- Scene: 800×600 pixels
|
| 131 |
+
- Fixed timestep: 1/60s
|
| 132 |
+
- Elasticity always < 1.0 (energy conservation, no Pymunk instability)
|
| 133 |
+
- Threading disabled (determinism)
|
| 134 |
+
|
| 135 |
+
## Generation
|
| 136 |
+
|
| 137 |
+
Generated using 22 CPU cores in ~29 minutes at ~578 scenes/sec.
|
| 138 |
+
|
| 139 |
+
```bash
|
| 140 |
+
python scripts/generate_scenarios_dataset.py --split all --workers 22
|
| 141 |
+
```
|
| 142 |
+
|
| 143 |
+
## File Organization
|
| 144 |
+
|
| 145 |
+
```
|
| 146 |
+
data_scenarios/
|
| 147 |
+
├── manifest.json # Split config, seen/unseen lists
|
| 148 |
+
├── train/
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| 149 |
+
│ ├── avalanche/ # 37,500 scenes
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| 150 |
+
│ ├── basketball/
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| 151 |
+
│ ├── ... # 24 scenario type directories
|
| 152 |
+
│ └── wrecking_ball/
|
| 153 |
+
└── val/
|
| 154 |
+
├── angry_birds/ # 3,334 scenes (UNSEEN)
|
| 155 |
+
├── avalanche/
|
| 156 |
+
├── bowling/ # 3,334 scenes (UNSEEN)
|
| 157 |
+
├── ... # 30 scenario type directories
|
| 158 |
+
└── wind/
|
| 159 |
+
```
|
| 160 |
+
|
| 161 |
+
## Citation
|
| 162 |
+
|
| 163 |
+
Part of a research project on training LLMs to predict 2D rigid body physics.
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manifest.json
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{
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| 2 |
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"seen_scenarios": [
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| 3 |
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"avalanche",
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| 4 |
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"basketball",
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| 5 |
+
"billiards",
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| 6 |
+
"breakout",
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| 7 |
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"bridge",
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| 8 |
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"chain",
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| 9 |
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"conveyor",
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| 10 |
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"dominos",
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| 11 |
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"explosion",
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| 12 |
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"funnel",
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| 13 |
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"head_on",
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| 14 |
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"jenga",
|
| 15 |
+
"marble_run",
|
| 16 |
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"orbit",
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| 17 |
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"pendulum",
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| 18 |
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"pinball",
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| 19 |
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"plinko",
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| 20 |
+
"projectile",
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| 21 |
+
"pyramid",
|
| 22 |
+
"seesaw",
|
| 23 |
+
"ski_jump",
|
| 24 |
+
"tower",
|
| 25 |
+
"wind",
|
| 26 |
+
"wrecking_ball"
|
| 27 |
+
],
|
| 28 |
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"unseen_scenarios": [
|
| 29 |
+
"angry_birds",
|
| 30 |
+
"bowling",
|
| 31 |
+
"hourglass",
|
| 32 |
+
"newtons_cradle",
|
| 33 |
+
"pong",
|
| 34 |
+
"ramp_roll"
|
| 35 |
+
],
|
| 36 |
+
"unseen_simple": [
|
| 37 |
+
"pong",
|
| 38 |
+
"bowling",
|
| 39 |
+
"ramp_roll"
|
| 40 |
+
],
|
| 41 |
+
"unseen_complex": [
|
| 42 |
+
"angry_birds",
|
| 43 |
+
"hourglass",
|
| 44 |
+
"newtons_cradle"
|
| 45 |
+
],
|
| 46 |
+
"train_per_type": 37500,
|
| 47 |
+
"val_per_type": 3334,
|
| 48 |
+
"train_total": 900000,
|
| 49 |
+
"val_total": 100020,
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| 50 |
+
"num_frames": 200,
|
| 51 |
+
"seed_base_train": 1000000,
|
| 52 |
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"seed_base_val": 5000000
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| 53 |
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}
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train/avalanche.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd8f956d86829d6bae531318572875bd08d4dc1046ddbd124bd8da0f80a87eba
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size 135
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train/basketball.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:68b37b125945ee65fe30b8d3a5cda256c15740b32766e92e7eeb026ccd2b2403
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size 134
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train/billiards.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:e1f4e43ab6416c26dc07c931ef4247319e94326eb4715a52c69c7c3b426e9b3e
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size 135
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train/breakout.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:43d82c2c8f988176ba138e634cd6a6c055f530ea24766049b6889d89dc521e66
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size 135
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train/bridge.tar.gz
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