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- clevrer_lite/__init__.py +8 -0
- clevrer_lite/config.py +50 -0
- clevrer_lite/env.py +164 -0
- clevrer_lite/events.py +73 -0
- clevrer_lite/generate_dataset.py +124 -0
- clevrer_lite/physics.py +98 -0
- clevrer_lite/questions.py +451 -0
- clevrer_lite/renderer.py +104 -0
- clevrer_lite/simulate.py +153 -0
- demo_episode.gif +3 -0
- output/annotations.json +3237 -0
- output/dataset_100/annotations.json +0 -0
- output/dataset_100/videos/video_00000.gif +3 -0
- output/dataset_100/videos/video_00001.gif +3 -0
- output/dataset_100/videos/video_00002.gif +3 -0
- output/dataset_100/videos/video_00003.gif +3 -0
- output/dataset_100/videos/video_00004.gif +3 -0
- output/dataset_100/videos/video_00005.gif +3 -0
- output/dataset_100/videos/video_00006.gif +3 -0
- output/dataset_100/videos/video_00007.gif +3 -0
- output/dataset_100/videos/video_00008.gif +3 -0
- output/dataset_100/videos/video_00009.gif +3 -0
- output/dataset_100/videos/video_00010.gif +3 -0
- output/dataset_100/videos/video_00011.gif +3 -0
- output/dataset_100/videos/video_00012.gif +3 -0
- output/dataset_100/videos/video_00013.gif +3 -0
- output/dataset_100/videos/video_00014.gif +3 -0
- output/dataset_100/videos/video_00015.gif +3 -0
- output/dataset_100/videos/video_00016.gif +3 -0
- output/dataset_100/videos/video_00017.gif +3 -0
- output/dataset_100/videos/video_00018.gif +3 -0
- output/dataset_100/videos/video_00019.gif +3 -0
- output/dataset_100/videos/video_00020.gif +3 -0
- output/dataset_100/videos/video_00021.gif +3 -0
- output/dataset_100/videos/video_00022.gif +3 -0
- output/dataset_100/videos/video_00023.gif +3 -0
- output/dataset_100/videos/video_00024.gif +3 -0
- output/dataset_100/videos/video_00025.gif +3 -0
- output/dataset_100/videos/video_00026.gif +3 -0
- output/dataset_100/videos/video_00027.gif +3 -0
- output/dataset_100/videos/video_00028.gif +3 -0
- output/dataset_100/videos/video_00029.gif +3 -0
- output/dataset_100/videos/video_00030.gif +3 -0
- output/dataset_100/videos/video_00031.gif +3 -0
- output/dataset_100/videos/video_00032.gif +3 -0
- output/dataset_100/videos/video_00033.gif +3 -0
- output/dataset_100/videos/video_00034.gif +3 -0
- output/dataset_100/videos/video_00035.gif +3 -0
- output/dataset_100/videos/video_00036.gif +3 -0
- output/dataset_100/videos/video_00037.gif +3 -0
clevrer_lite/__init__.py
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"""CLEVRER-lite: a small CLEVRER-like video-reasoning environment with a gym API."""
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from .env import CLEVRERLiteEnv
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from . import config, physics, renderer, simulate, events, questions
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__all__ = ["CLEVRERLiteEnv", "config", "physics", "renderer", "simulate",
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"events", "questions"]
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__version__ = "0.1.0"
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clevrer_lite/config.py
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"""Global configuration: CLEVRER-style attributes, palette and physics constants."""
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# ---------------------------------------------------------------- attributes
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# The 8 CLEVRER colors (RGB, roughly matched to CLEVRER's palette).
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COLORS = {
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"gray": (144, 144, 148),
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"red": (196, 44, 38),
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"blue": ( 46, 71, 190),
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"green": ( 62, 131, 55),
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"brown": ( 96, 58, 33),
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"purple": (110, 46, 150),
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"cyan": ( 63, 156, 158),
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"yellow": (196, 150, 18),
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}
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COLOR_NAMES = list(COLORS.keys())
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SHAPES = ["cube", "sphere", "cylinder"]
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MATERIALS = ["rubber", "metal"]
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SIZES = ["small", "large"]
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# physical radius range for each size class (world units)
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SIZE_RADIUS = {"small": (0.14, 0.20), "large": (0.26, 0.34)}
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# ---------------------------------------------------------------- world
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WORLD_HALF = 2.0 # arena is [-WORLD_HALF, WORLD_HALF]^2 (top-down view)
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SPAWN_HALF = 1.55 # objects spawn inside [-SPAWN_HALF, SPAWN_HALF]^2
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# ---------------------------------------------------------------- physics
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FRAME_DT = 1.0 / 25.0 # one rendered frame = 40 ms (25 fps)
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SUBSTEPS = 5 # physics substeps per rendered frame
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SUB_DT = FRAME_DT / SUBSTEPS # physics integration step
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SPEED_RANGE = (0.7, 1.7) # initial speed range for moving objects
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RESTITUTION = 0.95 # object-object bounciness
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WALL_RESTITUTION = 0.90 # object-wall bounciness
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DRAG = 0.9992 # velocity decay per substep (tiny air drag)
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DENSITY = {"rubber": 1.0, "metal": 2.5}
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MOVE_THRESH = 0.12 # |v| above this counts as "moving"
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MIN_RUN_FRAMES = 4 # a motion segment must last this many frames
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MIN_EVENT_GAP_FRAMES = 6 # same-pair contacts within this window = 1 event
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CAUSE_WINDOW_FRAMES = 4 # collision this close to a start-of-motion explains it
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# ---------------------------------------------------------------- probe (gym agent)
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PROBE_COLOR = "gray"
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PROBE_SIZE = "medium"
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PROBE_RADIUS = 0.22
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PROBE_IMPULSE = 1.1 # delta-v applied to the probe ball per action
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ACTION_LABELS = ["noop", "push_east", "push_north", "push_west", "push_south"]
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clevrer_lite/env.py
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"""OpenAI Gym wrapper for the CLEVRER-lite environment.
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env = CLEVRERLiteEnv()
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obs, info = env.reset(seed=0)
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obs, reward, terminated, truncated, info = env.step(env.action_space.sample())
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Observation: (frame_size, frame_size, 3) uint8 RGB frame (top-down view).
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Action: Discrete(5) - {noop, push probe ball E/N/W/S}.
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With ``probe=False`` every action is a no-op, giving the purely
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passive CLEVRER dynamics.
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Reward: 0.0 (the task is video reasoning, not control).
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Info: per-frame physics state + collisions so far.
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The env records the full trajectory, so after an episode you can call
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``extract_events()`` / ``build_questions()`` to get CLEVRER-style annotations.
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"""
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import numpy as np
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try:
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import gym
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except ImportError: # pragma: no cover
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import gymnasium as gym
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from gym import spaces
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from . import config, renderer, simulate, events as events_mod, questions as questions_mod
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+
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| 28 |
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| 29 |
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class CLEVRERLiteEnv(gym.Env):
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| 30 |
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"""A CLEVRER-like world of colliding objects as a gym environment."""
|
| 31 |
+
|
| 32 |
+
metadata = {
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| 33 |
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"render_modes": ["rgb_array"],
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| 34 |
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"render_fps": int(round(1.0 / config.FRAME_DT)),
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| 35 |
+
}
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| 36 |
+
|
| 37 |
+
def __init__(self, num_objects=(3, 6), num_frames=64, frame_size=128,
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probe=False, min_collisions=2, min_initially_moving=2,
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render_mode=None):
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| 40 |
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self.num_objects = (tuple(num_objects) if isinstance(num_objects, (tuple, list))
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else (int(num_objects), int(num_objects)))
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self.num_frames = int(num_frames)
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self.frame_size = int(frame_size)
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self.probe = bool(probe)
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self.min_collisions = int(min_collisions)
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self.min_initially_moving = int(min_initially_moving)
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self.render_mode = render_mode
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| 48 |
+
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| 49 |
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self.observation_space = spaces.Box(0, 255, (self.frame_size, self.frame_size, 3),
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+
np.uint8)
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self.action_space = spaces.Discrete(len(config.ACTION_LABELS))
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| 52 |
+
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| 53 |
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# episode state
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| 54 |
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self._spec = None
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| 55 |
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self._bodies = None
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| 56 |
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self._t = 0
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| 57 |
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self._last_obs = None
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| 58 |
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self._trajectory = None
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| 59 |
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self._collisions = []
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| 60 |
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self._wall_hits = []
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| 61 |
+
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| 62 |
+
# ------------------------------------------------------------------ api
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| 63 |
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def reset(self, *, seed=None, options=None):
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| 64 |
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super().reset(seed=seed)
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+
rng = self.np_random
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| 66 |
+
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| 67 |
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# sample a scene that is rich enough for causal questions
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for _ in range(60):
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| 69 |
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spec = simulate.sample_spec(rng, rng.integers(self.num_objects[0],
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| 70 |
+
self.num_objects[1] + 1),
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probe=self.probe)
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| 72 |
+
bodies = simulate.bodies_from_spec(spec)
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| 73 |
+
out = simulate.rollout(bodies, self.num_frames)
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| 74 |
+
ev = events_mod.extract_events(out["states"], out["collisions"],
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| 75 |
+
out["wall_hits"], n=len(bodies))
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| 76 |
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stationary = [i for i in range(len(bodies))
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| 77 |
+
if i not in ev["initially_moving"]]
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| 78 |
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if (len(ev["collisions"]) >= self.min_collisions
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| 79 |
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and len(ev["initially_moving"]) >= self.min_initially_moving
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| 80 |
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and (not self.probe or len(stationary) >= 1)):
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| 81 |
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break
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| 82 |
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else:
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| 83 |
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pass # keep the last sample even if not ideal
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| 84 |
+
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| 85 |
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self._spec = spec
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| 86 |
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self._bodies = simulate.bodies_from_spec(spec)
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| 87 |
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self._t = 0
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| 88 |
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self._collisions = []
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| 89 |
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self._wall_hits = []
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| 90 |
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self._trajectory = np.zeros((self.num_frames, len(self._bodies), 4))
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| 91 |
+
self._last_obs = self._render()
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| 92 |
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return self._last_obs, self._info()
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| 93 |
+
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| 94 |
+
def step(self, action):
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| 95 |
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if self._bodies is None:
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| 96 |
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raise RuntimeError("call reset() before step()")
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| 97 |
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action = int(action)
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| 98 |
+
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| 99 |
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def action_fn(t, bodies):
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| 100 |
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if self.probe and action != 0:
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| 101 |
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dirs = {1: (1, 0), 2: (0, 1), 3: (-1, 0), 4: (0, -1)}
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| 102 |
+
dx, dy = dirs[action]
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| 103 |
+
for b in bodies:
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| 104 |
+
if b.is_probe:
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| 105 |
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b.vel = b.vel + np.array([dx, dy]) * (config.PROBE_IMPULSE / b.mass)
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| 106 |
+
|
| 107 |
+
out = simulate.rollout(self._bodies, 1, render_fn=None, action_fn=action_fn)
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| 108 |
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t = self._t
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| 109 |
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self._trajectory[t] = out["states"][0]
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| 110 |
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for c in out["collisions"]:
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| 111 |
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self._collisions.append((t, c[1], c[2]))
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| 112 |
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for (_, i, ax, s) in out["wall_hits"]:
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| 113 |
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self._wall_hits.append((t, i, ax, s))
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| 114 |
+
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| 115 |
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self._t += 1
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| 116 |
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self._last_obs = self._render()
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| 117 |
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truncated = bool(self._t >= self.num_frames)
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| 118 |
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info = self._info()
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| 119 |
+
info.update({
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| 120 |
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"frame": self._t - 1,
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| 121 |
+
"collisions_so_far": len(self._collisions),
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| 122 |
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"latest_collision": self._collisions[-1] if self._collisions else None,
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| 123 |
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"truncated": truncated,
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| 124 |
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})
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| 125 |
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return self._last_obs, 0.0, False, truncated, info
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| 126 |
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| 127 |
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def render(self):
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| 128 |
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return self._last_obs
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| 129 |
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| 130 |
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def close(self):
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| 131 |
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self._bodies = None
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| 132 |
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| 133 |
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# ------------------------------------------------------------ utilities
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| 134 |
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@property
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| 135 |
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def scene(self):
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| 136 |
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"""Scene spec (list of dicts) of the current episode."""
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| 137 |
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return self._spec
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| 138 |
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| 139 |
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@property
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| 140 |
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def trajectory(self):
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| 141 |
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"""(T, n, 4) array of (x, y, vx, vy) recorded so far."""
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| 142 |
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return self._trajectory
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| 143 |
+
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| 144 |
+
def extract_events(self):
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| 145 |
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return events_mod.extract_events(self._trajectory, self._collisions,
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| 146 |
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self._wall_hits, n=len(self._bodies))
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| 147 |
+
|
| 148 |
+
def build_questions(self, ev=None, max_questions=8):
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| 149 |
+
ev = ev if ev is not None else self.extract_events()
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| 150 |
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return questions_mod.build_questions(self._spec, ev, self.np_random,
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| 151 |
+
self.num_frames,
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| 152 |
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max_questions=max_questions)
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| 153 |
+
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| 154 |
+
# ------------------------------------------------------------ internals
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| 155 |
+
def _render(self):
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| 156 |
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return renderer.render(self._bodies, size=self.frame_size)
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| 157 |
+
|
| 158 |
+
def _info(self):
|
| 159 |
+
return {
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| 160 |
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"t": self._t,
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| 161 |
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"objects": [b.idx for b in self._bodies],
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| 162 |
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"positions": np.array([b.pos for b in self._bodies]),
|
| 163 |
+
"speeds": np.array([b.speed for b in self._bodies]),
|
| 164 |
+
}
|
clevrer_lite/events.py
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Extract causal events (collisions, starts/stops of motion) from a trajectory.
|
| 2 |
+
|
| 3 |
+
This is what makes question generation *grounded*: every question/answer is
|
| 4 |
+
derived from events that verifiably happened in the recorded physics rollout.
|
| 5 |
+
"""
|
| 6 |
+
|
| 7 |
+
import numpy as np
|
| 8 |
+
|
| 9 |
+
from . import config
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
def extract_events(states, collisions, wall_hits, n):
|
| 13 |
+
"""Args:
|
| 14 |
+
states: (T, n, 4) per-frame (x, y, vx, vy)
|
| 15 |
+
collisions: [(t, i, j)] substep-level contact log
|
| 16 |
+
wall_hits: [(t, i, axis, side)]
|
| 17 |
+
n: number of objects
|
| 18 |
+
|
| 19 |
+
Returns dict with:
|
| 20 |
+
collisions: [{frame, objects:[i,j]}] grouped collision events
|
| 21 |
+
starts: {obj_idx: [frames]} times each object starts moving
|
| 22 |
+
stops: {obj_idx: [frames]}
|
| 23 |
+
initially_moving: [obj_idx]
|
| 24 |
+
moving: (T, n) bool mask
|
| 25 |
+
speeds: (T, n)
|
| 26 |
+
"""
|
| 27 |
+
T = states.shape[0]
|
| 28 |
+
speeds = np.linalg.norm(states[:, :, 2:], axis=-1) # (T, n)
|
| 29 |
+
moving = speeds > config.MOVE_THRESH
|
| 30 |
+
|
| 31 |
+
# ---- group the contact log into collision events ----
|
| 32 |
+
grouped = []
|
| 33 |
+
for (t, i, j) in sorted(collisions, key=lambda c: c[0]):
|
| 34 |
+
if grouped and grouped[-1]["objects"] == [i, j] and \
|
| 35 |
+
t - grouped[-1]["end"] <= config.MIN_EVENT_GAP_FRAMES:
|
| 36 |
+
grouped[-1]["end"] = t
|
| 37 |
+
else:
|
| 38 |
+
grouped.append({"frame": t, "end": t, "objects": [i, j]})
|
| 39 |
+
collision_events = [{"frame": g["frame"], "objects": g["objects"]} for g in grouped]
|
| 40 |
+
|
| 41 |
+
# ---- start / stop of motion per object ----
|
| 42 |
+
starts, stops, initially_moving = {}, {}, []
|
| 43 |
+
min_run = config.MIN_RUN_FRAMES
|
| 44 |
+
for o in range(n):
|
| 45 |
+
m = moving[:, o]
|
| 46 |
+
sts, sps = [], []
|
| 47 |
+
t = 0
|
| 48 |
+
while t < T:
|
| 49 |
+
if m[t]:
|
| 50 |
+
t2 = t
|
| 51 |
+
while t2 < T and m[t2]:
|
| 52 |
+
t2 += 1
|
| 53 |
+
if t2 - t >= min_run:
|
| 54 |
+
if t == 0:
|
| 55 |
+
initially_moving.append(o)
|
| 56 |
+
else:
|
| 57 |
+
sts.append(t)
|
| 58 |
+
sps.append(t2) # frame where it (first) stops
|
| 59 |
+
t = t2
|
| 60 |
+
else:
|
| 61 |
+
t += 1
|
| 62 |
+
starts[o] = sts
|
| 63 |
+
stops[o] = [s for s in sps if s < T - 1] # ignore end-of-video "stop"
|
| 64 |
+
|
| 65 |
+
return {
|
| 66 |
+
"collisions": collision_events,
|
| 67 |
+
"starts": starts,
|
| 68 |
+
"stops": stops,
|
| 69 |
+
"initially_moving": sorted(initially_moving),
|
| 70 |
+
"moving": moving,
|
| 71 |
+
"speeds": speeds,
|
| 72 |
+
"wall_hits": wall_hits,
|
| 73 |
+
}
|
clevrer_lite/generate_dataset.py
ADDED
|
@@ -0,0 +1,124 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
"""Generate a small CLEVRER-lite dataset (GIF videos + JSON annotations).
|
| 3 |
+
|
| 4 |
+
Examples:
|
| 5 |
+
python -m clevrer_lite.generate_dataset --num-videos 8 --num-frames 64 --frame-size 128
|
| 6 |
+
python -m clevrer_lite.generate_dataset --out data/big --num-videos 1000 --num-frames 128
|
| 7 |
+
"""
|
| 8 |
+
|
| 9 |
+
import argparse
|
| 10 |
+
import json
|
| 11 |
+
import os
|
| 12 |
+
import time
|
| 13 |
+
|
| 14 |
+
import numpy as np
|
| 15 |
+
from PIL import Image
|
| 16 |
+
|
| 17 |
+
from . import CLEVRERLiteEnv, config, simulate
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
def describe_events(spec, ev):
|
| 21 |
+
"""Human-readable event descriptions for the annotation file."""
|
| 22 |
+
objs = {o["idx"]: o for o in spec}
|
| 23 |
+
|
| 24 |
+
def ref(i):
|
| 25 |
+
return "the {} {}".format(objs[i]["color"], objs[i]["shape"])
|
| 26 |
+
|
| 27 |
+
collisions = [{
|
| 28 |
+
"frame": e["frame"],
|
| 29 |
+
"objects": e["objects"],
|
| 30 |
+
"description": f"{ref(e['objects'][0])} collided with {ref(e['objects'][1])}",
|
| 31 |
+
} for e in ev["collisions"]]
|
| 32 |
+
|
| 33 |
+
motion = []
|
| 34 |
+
for o, sts in ev["starts"].items():
|
| 35 |
+
for s in sts:
|
| 36 |
+
cause = None
|
| 37 |
+
for e in ev["collisions"]:
|
| 38 |
+
a, b = e["objects"]
|
| 39 |
+
if o in (a, b) and abs(e["frame"] - s) <= config.CAUSE_WINDOW_FRAMES:
|
| 40 |
+
cause = e
|
| 41 |
+
break
|
| 42 |
+
motion.append({"object": o, "type": "start", "frame": s,
|
| 43 |
+
"cause_collision": cause})
|
| 44 |
+
return {"collision_events": collisions, "motion_events": motion,
|
| 45 |
+
"initially_moving": ev["initially_moving"]}
|
| 46 |
+
|
| 47 |
+
|
| 48 |
+
def main():
|
| 49 |
+
ap = argparse.ArgumentParser(description="Generate a CLEVRER-lite dataset")
|
| 50 |
+
ap.add_argument("--out", default="output")
|
| 51 |
+
ap.add_argument("--num-videos", type=int, default=8)
|
| 52 |
+
ap.add_argument("--num-frames", type=int, default=64)
|
| 53 |
+
ap.add_argument("--frame-size", type=int, default=128)
|
| 54 |
+
ap.add_argument("--seed", type=int, default=0)
|
| 55 |
+
ap.add_argument("--gif-fps", type=int, default=12)
|
| 56 |
+
ap.add_argument("--max-questions", type=int, default=8)
|
| 57 |
+
args = ap.parse_args()
|
| 58 |
+
|
| 59 |
+
video_dir = os.path.join(args.out, "videos")
|
| 60 |
+
os.makedirs(video_dir, exist_ok=True)
|
| 61 |
+
|
| 62 |
+
env = CLEVRERLiteEnv(num_frames=args.num_frames, frame_size=args.frame_size)
|
| 63 |
+
annotations = []
|
| 64 |
+
t0 = time.time()
|
| 65 |
+
|
| 66 |
+
for v in range(args.num_videos):
|
| 67 |
+
obs, info = env.reset(seed=args.seed + v)
|
| 68 |
+
frames = [obs]
|
| 69 |
+
while True:
|
| 70 |
+
obs, reward, terminated, truncated, info = env.step(0) # passive
|
| 71 |
+
frames.append(obs)
|
| 72 |
+
if truncated:
|
| 73 |
+
break
|
| 74 |
+
|
| 75 |
+
ev = env.extract_events()
|
| 76 |
+
qs = env.build_questions(ev, max_questions=args.max_questions)
|
| 77 |
+
ev_public = {k: v for k, v in ev.items() if k not in ("moving", "speeds")}
|
| 78 |
+
|
| 79 |
+
fname = f"video_{v:05d}.gif"
|
| 80 |
+
imgs = [Image.fromarray(f) for f in frames]
|
| 81 |
+
imgs[0].save(os.path.join(video_dir, fname), save_all=True,
|
| 82 |
+
append_images=imgs[1:], duration=int(1000 / args.gif_fps),
|
| 83 |
+
loop=0)
|
| 84 |
+
|
| 85 |
+
record = {
|
| 86 |
+
"video_index": v,
|
| 87 |
+
"video_filename": f"videos/{fname}",
|
| 88 |
+
"num_frames": args.num_frames,
|
| 89 |
+
"frame_size": args.frame_size,
|
| 90 |
+
"fps": env.metadata["render_fps"],
|
| 91 |
+
"scene": {"objects": env.scene},
|
| 92 |
+
"events": describe_events(env.scene, ev),
|
| 93 |
+
"raw_events": {
|
| 94 |
+
"collisions": ev_public["collisions"],
|
| 95 |
+
"starts": {str(k): v for k, v in ev_public["starts"].items()},
|
| 96 |
+
"stops": {str(k): v for k, v in ev_public["stops"].items()},
|
| 97 |
+
"initially_moving": ev_public["initially_moving"],
|
| 98 |
+
"wall_hits": [list(map(int, w)) for w in ev_public["wall_hits"]],
|
| 99 |
+
},
|
| 100 |
+
"questions": qs,
|
| 101 |
+
}
|
| 102 |
+
annotations.append(record)
|
| 103 |
+
n_col = len(ev["collisions"])
|
| 104 |
+
print(f"[{v + 1}/{args.num_videos}] {fname}: "
|
| 105 |
+
f"{len(env.scene)} objects, {n_col} collisions, {len(qs)} questions")
|
| 106 |
+
|
| 107 |
+
with open(os.path.join(args.out, "annotations.json"), "w") as f:
|
| 108 |
+
json.dump(annotations, f, indent=2)
|
| 109 |
+
|
| 110 |
+
dt = time.time() - t0
|
| 111 |
+
print(f"\nDone: {args.num_videos} videos in {dt:.1f}s "
|
| 112 |
+
f"({dt / args.num_videos:.2f}s/video) -> {args.out}/")
|
| 113 |
+
print(f"Total questions: {sum(len(a['questions']) for a in annotations)}")
|
| 114 |
+
|
| 115 |
+
# quick distribution summary
|
| 116 |
+
from collections import Counter
|
| 117 |
+
types = Counter(q["question_type"] for a in annotations for q in a["questions"])
|
| 118 |
+
print("Question types:", dict(types))
|
| 119 |
+
answers = Counter(q["answer"] for a in annotations for q in a["questions"])
|
| 120 |
+
print("Top answers:", dict(answers.most_common(8)))
|
| 121 |
+
|
| 122 |
+
|
| 123 |
+
if __name__ == "__main__":
|
| 124 |
+
main()
|
clevrer_lite/physics.py
ADDED
|
@@ -0,0 +1,98 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Minimal 2D rigid-body physics: discs in a box with elastic collisions.
|
| 2 |
+
|
| 3 |
+
Cubes and cylinders are *rendered* as squares / rings (top-down view, like
|
| 4 |
+
looking down on the CLEVRER scene) but use a circular footprint for physics.
|
| 5 |
+
This keeps the engine tiny, stable and fast while preserving the causal event
|
| 6 |
+
structure (collisions, starts/stops of motion) that CLEVRER questions need.
|
| 7 |
+
"""
|
| 8 |
+
|
| 9 |
+
from dataclasses import dataclass, field
|
| 10 |
+
import numpy as np
|
| 11 |
+
|
| 12 |
+
from . import config
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
@dataclass
|
| 16 |
+
class Body:
|
| 17 |
+
idx: int
|
| 18 |
+
color: str
|
| 19 |
+
shape: str
|
| 20 |
+
material: str
|
| 21 |
+
size: str
|
| 22 |
+
radius: float
|
| 23 |
+
pos: np.ndarray # (2,) world coordinates
|
| 24 |
+
vel: np.ndarray # (2,)
|
| 25 |
+
spin: float = 0.0 # visual angular velocity (rad/s)
|
| 26 |
+
angle: float = 0.0 # visual rotation angle (rad)
|
| 27 |
+
mass: float = 1.0
|
| 28 |
+
is_probe: bool = False
|
| 29 |
+
|
| 30 |
+
@property
|
| 31 |
+
def speed(self) -> float:
|
| 32 |
+
return float(np.linalg.norm(self.vel))
|
| 33 |
+
|
| 34 |
+
|
| 35 |
+
def mass_of(radius: float, material: str) -> float:
|
| 36 |
+
# all shapes use a circular footprint: m = density * pi * r^2
|
| 37 |
+
return config.DENSITY[material] * np.pi * radius ** 2
|
| 38 |
+
|
| 39 |
+
|
| 40 |
+
class World:
|
| 41 |
+
"""A box arena with elastic object-object and object-wall collisions."""
|
| 42 |
+
|
| 43 |
+
def __init__(self, bodies, half: float = config.WORLD_HALF):
|
| 44 |
+
self.bodies = list(bodies)
|
| 45 |
+
self.half = half
|
| 46 |
+
|
| 47 |
+
def step(self, h: float):
|
| 48 |
+
"""Advance physics by h seconds.
|
| 49 |
+
|
| 50 |
+
Returns:
|
| 51 |
+
contacts: list of (idx_a, idx_b) pairs that collided this step
|
| 52 |
+
wall_hits: list of (idx, axis, side) with side in {-1, +1}
|
| 53 |
+
"""
|
| 54 |
+
contacts, wall_hits = [], []
|
| 55 |
+
|
| 56 |
+
# integrate
|
| 57 |
+
for b in self.bodies:
|
| 58 |
+
b.pos = b.pos + b.vel * h
|
| 59 |
+
b.vel = b.vel * config.DRAG
|
| 60 |
+
b.angle = (b.angle + b.spin * h) % (2.0 * np.pi)
|
| 61 |
+
|
| 62 |
+
# pairwise object collisions
|
| 63 |
+
bs = self.bodies
|
| 64 |
+
for i in range(len(bs)):
|
| 65 |
+
for j in range(i + 1, len(bs)):
|
| 66 |
+
A, B = bs[i], bs[j]
|
| 67 |
+
d = B.pos - A.pos
|
| 68 |
+
dist = float(np.linalg.norm(d))
|
| 69 |
+
rsum = A.radius + B.radius
|
| 70 |
+
if dist < rsum and dist > 1e-9:
|
| 71 |
+
n = d / dist
|
| 72 |
+
# impulse along the normal if approaching
|
| 73 |
+
v_rel_n = float(np.dot(B.vel - A.vel, n))
|
| 74 |
+
if v_rel_n < 0.0:
|
| 75 |
+
e = config.RESTITUTION
|
| 76 |
+
jimp = -(1.0 + e) * v_rel_n / (1.0 / A.mass + 1.0 / B.mass)
|
| 77 |
+
A.vel = A.vel - (jimp / A.mass) * n
|
| 78 |
+
B.vel = B.vel + (jimp / B.mass) * n
|
| 79 |
+
contacts.append((A.idx, B.idx))
|
| 80 |
+
# positional correction so objects never sink into each other
|
| 81 |
+
push = n * (0.5 * (rsum - dist))
|
| 82 |
+
A.pos = A.pos - push
|
| 83 |
+
B.pos = B.pos + push
|
| 84 |
+
|
| 85 |
+
# walls
|
| 86 |
+
for b in self.bodies:
|
| 87 |
+
for ax in range(2):
|
| 88 |
+
lim = self.half - b.radius
|
| 89 |
+
if b.pos[ax] > lim and b.vel[ax] > 0:
|
| 90 |
+
b.pos[ax] = lim
|
| 91 |
+
b.vel[ax] = -b.vel[ax] * config.WALL_RESTITUTION
|
| 92 |
+
wall_hits.append((b.idx, ax, +1))
|
| 93 |
+
elif b.pos[ax] < -lim and b.vel[ax] < 0:
|
| 94 |
+
b.pos[ax] = -lim
|
| 95 |
+
b.vel[ax] = -b.vel[ax] * config.WALL_RESTITUTION
|
| 96 |
+
wall_hits.append((b.idx, ax, -1))
|
| 97 |
+
|
| 98 |
+
return contacts, wall_hits
|
clevrer_lite/questions.py
ADDED
|
@@ -0,0 +1,451 @@
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|
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|
|
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|
|
|
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|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""CLEVRER-style question generation.
|
| 2 |
+
|
| 3 |
+
Every question is generated from the *extracted events* of the recorded
|
| 4 |
+
trajectory, so questions and answers are grounded in what actually happened.
|
| 5 |
+
Question types mirror CLEVRER:
|
| 6 |
+
|
| 7 |
+
descriptive - single/multi-step perception on the first frame
|
| 8 |
+
("How many red objects?", "What color is the sphere?")
|
| 9 |
+
explanatory - causal/temporal reasoning about collision & motion events
|
| 10 |
+
("What happened right after ... collided?")
|
| 11 |
+
predictive - "Will A collide with B by the end of the video?"
|
| 12 |
+
counterfactual - answered by *re-simulating* the scene with one object
|
| 13 |
+
removed, exactly like the real CLEVRER pipeline.
|
| 14 |
+
|
| 15 |
+
Each question carries: text, answer, multiple-choice list + answer index,
|
| 16 |
+
type, template id, and a simplified functional program.
|
| 17 |
+
"""
|
| 18 |
+
|
| 19 |
+
import numpy as np
|
| 20 |
+
|
| 21 |
+
from . import config, simulate
|
| 22 |
+
|
| 23 |
+
_NOTHING = "nothing happened"
|
| 24 |
+
|
| 25 |
+
_ATTR_ORDER = ["size", "material", "color", "shape"]
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
# --------------------------------------------------------------------------
|
| 29 |
+
# helpers
|
| 30 |
+
# --------------------------------------------------------------------------
|
| 31 |
+
|
| 32 |
+
def _ref(obj, objs):
|
| 33 |
+
"""Shortest unambiguous CLEVRER-style reference, e.g. 'the red sphere'."""
|
| 34 |
+
for attrs in (("color", "shape"), ("color",), ("shape",),
|
| 35 |
+
("size", "color", "shape"), ("material", "color", "shape"),
|
| 36 |
+
("size", "material", "color", "shape")):
|
| 37 |
+
vals = tuple(obj[a] for a in attrs)
|
| 38 |
+
if sum(1 for o in objs if tuple(o[a] for a in attrs) == vals) == 1:
|
| 39 |
+
ordered = [a for a in _ATTR_ORDER if a in attrs]
|
| 40 |
+
return "the " + " ".join(obj[a] for a in ordered)
|
| 41 |
+
return f"the object {obj['idx']}"
|
| 42 |
+
|
| 43 |
+
|
| 44 |
+
def _shuffle_choices(ans, distractors, rng):
|
| 45 |
+
"""Build a shuffled choice list; returns (choices, answer_index)."""
|
| 46 |
+
choices = [ans] + [d for d in distractors if d != ans]
|
| 47 |
+
choices = list(dict.fromkeys(choices)) # dedupe, keep order
|
| 48 |
+
perm = rng.permutation(len(choices))
|
| 49 |
+
choices = [choices[i] for i in perm]
|
| 50 |
+
return choices, int(choices.index(ans))
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
def _numeric_choices(ans, lo, hi, rng, k=6):
|
| 54 |
+
vals = {ans}
|
| 55 |
+
pool = [v for v in range(lo, hi + 1) if v != ans]
|
| 56 |
+
if pool:
|
| 57 |
+
vals |= set(int(x) for x in rng.choice(pool, size=min(k - 1, len(pool)),
|
| 58 |
+
replace=False))
|
| 59 |
+
return [str(v) for v in sorted(vals)]
|
| 60 |
+
|
| 61 |
+
|
| 62 |
+
def _q(question, answer, choices, answer_index, qtype, template, program):
|
| 63 |
+
answer = str(answer)
|
| 64 |
+
if answer_index is None:
|
| 65 |
+
answer_index = choices.index(answer)
|
| 66 |
+
return {"question": question, "answer": answer, "choices": choices,
|
| 67 |
+
"answer_index": answer_index, "question_type": qtype,
|
| 68 |
+
"template": template, "program": program}
|
| 69 |
+
|
| 70 |
+
|
| 71 |
+
def _col_choices(ans, rng):
|
| 72 |
+
names = list(config.COLOR_NAMES)
|
| 73 |
+
perm = rng.permutation(len(names))
|
| 74 |
+
choices = [names[i] for i in perm]
|
| 75 |
+
return choices, choices.index(ans)
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
# --------------------------------------------------------------------------
|
| 79 |
+
# descriptive questions (about the first frame)
|
| 80 |
+
# --------------------------------------------------------------------------
|
| 81 |
+
|
| 82 |
+
def _descriptive(objs, ev, rng):
|
| 83 |
+
out = []
|
| 84 |
+
n = len(objs)
|
| 85 |
+
pos0 = {o["idx"]: o["position"] for o in objs}
|
| 86 |
+
|
| 87 |
+
out.append(_q("How many objects are there?", str(n),
|
| 88 |
+
_numeric_choices(n, 0, max(6, n), rng), None,
|
| 89 |
+
"descriptive", "count_all",
|
| 90 |
+
[{"op": "count"}]))
|
| 91 |
+
|
| 92 |
+
# count by attribute
|
| 93 |
+
for key, noun in (("color", "objects"), ("shape", "objects"),
|
| 94 |
+
("material", "objects")):
|
| 95 |
+
values = sorted({o[key] for o in objs})
|
| 96 |
+
for v in values:
|
| 97 |
+
cnt = sum(1 for o in objs if o[key] == v)
|
| 98 |
+
phrase = f"How many {v} {noun} are there?"
|
| 99 |
+
prog = [{"op": f"filter_{key}", "value": v}, {"op": "count"}]
|
| 100 |
+
ch = _numeric_choices(cnt, 0, max(6, n), rng)
|
| 101 |
+
out.append(_q(phrase, str(cnt), ch, None, "descriptive",
|
| 102 |
+
f"count_{key}", prog))
|
| 103 |
+
|
| 104 |
+
# query color of a unique shape
|
| 105 |
+
for sh in config.SHAPES:
|
| 106 |
+
same = [o for o in objs if o["shape"] == sh]
|
| 107 |
+
if len(same) == 1:
|
| 108 |
+
o = same[0]
|
| 109 |
+
ch, ai = _col_choices(o["color"], rng)
|
| 110 |
+
out.append(_q(f"What color is the {sh}?", o["color"], ch, ai,
|
| 111 |
+
"descriptive", "query_color",
|
| 112 |
+
[{"op": "filter_shape", "value": sh},
|
| 113 |
+
{"op": "query_color"}]))
|
| 114 |
+
|
| 115 |
+
# query shape of a unique color
|
| 116 |
+
for col in config.COLOR_NAMES:
|
| 117 |
+
same = [o for o in objs if o["color"] == col]
|
| 118 |
+
if len(same) == 1:
|
| 119 |
+
o = same[0]
|
| 120 |
+
ch = list(config.SHAPES)
|
| 121 |
+
perm = rng.permutation(len(ch))
|
| 122 |
+
ch = [ch[i] for i in perm]
|
| 123 |
+
out.append(_q(f"What shape is the {col} object?", o["shape"], ch,
|
| 124 |
+
list(ch).index(o["shape"]), "descriptive",
|
| 125 |
+
"query_shape",
|
| 126 |
+
[{"op": "filter_color", "value": col},
|
| 127 |
+
{"op": "query_shape"}]))
|
| 128 |
+
|
| 129 |
+
# query material of a unique color+shape
|
| 130 |
+
for o in objs:
|
| 131 |
+
same = [x for x in objs if x["color"] == o["color"] and x["shape"] == o["shape"]]
|
| 132 |
+
if len(same) == 1:
|
| 133 |
+
ch = list(config.MATERIALS)
|
| 134 |
+
perm = rng.permutation(len(ch))
|
| 135 |
+
ch = [ch[i] for i in perm]
|
| 136 |
+
out.append(_q(f"What material is the {o['color']} {o['shape']} made of?",
|
| 137 |
+
o["material"], ch, ch.index(o["material"]),
|
| 138 |
+
"descriptive", "query_material",
|
| 139 |
+
[{"op": "filter_color", "value": o["color"]},
|
| 140 |
+
{"op": "filter_shape", "value": o["shape"]},
|
| 141 |
+
{"op": "query_material"}]))
|
| 142 |
+
|
| 143 |
+
# spatial relations (margin so 'left of' is unambiguous, exactly one match)
|
| 144 |
+
margin = 0.6
|
| 145 |
+
dirs = {
|
| 146 |
+
"left of": lambda a, b: (b[0] - a[0]) >= margin, # a is left of b
|
| 147 |
+
"right of": lambda a, b: (a[0] - b[0]) >= margin,
|
| 148 |
+
"behind": lambda a, b: (a[1] - b[1]) >= margin, # +y is far/back
|
| 149 |
+
"in front of": lambda a, b: (b[1] - a[1]) >= margin,
|
| 150 |
+
}
|
| 151 |
+
for rb in objs:
|
| 152 |
+
for name, fn in dirs.items():
|
| 153 |
+
cands = [o for o in objs if o["idx"] != rb["idx"] and
|
| 154 |
+
fn(pos0[o["idx"]], pos0[rb["idx"]])]
|
| 155 |
+
if len(cands) == 1:
|
| 156 |
+
o = cands[0]
|
| 157 |
+
ch, ai = _col_choices(o["color"], rng)
|
| 158 |
+
out.append(_q(f"What color is the object {name} {_ref(rb, objs)}?",
|
| 159 |
+
o["color"], ch, ai, "descriptive", "query_color_rel",
|
| 160 |
+
[{"op": "filter_color", "value": rb["color"]},
|
| 161 |
+
{"op": "relate", "direction": name.replace(" ", "_")},
|
| 162 |
+
{"op": "query_color"}]))
|
| 163 |
+
return out
|
| 164 |
+
|
| 165 |
+
|
| 166 |
+
# --------------------------------------------------------------------------
|
| 167 |
+
# explanatory questions (causal / temporal)
|
| 168 |
+
# --------------------------------------------------------------------------
|
| 169 |
+
|
| 170 |
+
def _coll_desc(objs, a, b):
|
| 171 |
+
return f"{_ref(a, objs)} collided with {_ref(b, objs)}"
|
| 172 |
+
|
| 173 |
+
|
| 174 |
+
def _explanatory(objs, ev, rng):
|
| 175 |
+
out = []
|
| 176 |
+
cev = ev["collisions"]
|
| 177 |
+
idx_of = {o["idx"]: o for o in objs}
|
| 178 |
+
refc = {o["idx"]: _ref(o, objs) for o in objs}
|
| 179 |
+
|
| 180 |
+
if not cev:
|
| 181 |
+
return out
|
| 182 |
+
|
| 183 |
+
def ev_desc(e):
|
| 184 |
+
a, b = e["objects"]
|
| 185 |
+
return _coll_desc(objs, idx_of[a], idx_of[b])
|
| 186 |
+
|
| 187 |
+
# what happened right after / before a collision
|
| 188 |
+
for k, e in enumerate(cev):
|
| 189 |
+
for direction, other in (("after", k + 1), ("before", k - 1)):
|
| 190 |
+
ans = ev_desc(cev[other]) if 0 <= other < len(cev) else _NOTHING
|
| 191 |
+
distractors = [ev_desc(x) for i, x in enumerate(cev)
|
| 192 |
+
if i not in (k, other)]
|
| 193 |
+
for (t, i, ax, s) in ev["wall_hits"][:40]:
|
| 194 |
+
d = f"{refc[i]} collided with the wall"
|
| 195 |
+
if d not in distractors:
|
| 196 |
+
distractors.append(d)
|
| 197 |
+
for o, sts in ev["starts"].items():
|
| 198 |
+
if o in refc and sts:
|
| 199 |
+
d = f"{refc[o]} started moving"
|
| 200 |
+
if d not in distractors:
|
| 201 |
+
distractors.append(d)
|
| 202 |
+
if ans != _NOTHING and _NOTHING not in distractors:
|
| 203 |
+
distractors.append(_NOTHING)
|
| 204 |
+
if len(distractors) < 3:
|
| 205 |
+
continue
|
| 206 |
+
rng.shuffle(distractors)
|
| 207 |
+
distractors = distractors[:3]
|
| 208 |
+
a, b = e["objects"]
|
| 209 |
+
ch, ai = _shuffle_choices(ans, distractors, rng)
|
| 210 |
+
out.append(_q(f"What happened right {direction} "
|
| 211 |
+
f"{ev_desc(e)}?", ans, ch, ai, "explanatory",
|
| 212 |
+
f"what_happened_{direction}",
|
| 213 |
+
[{"op": "find_collision", "objects": [a, b]},
|
| 214 |
+
{"op": f"query_{direction}_event"}]))
|
| 215 |
+
|
| 216 |
+
# what caused an object to start moving
|
| 217 |
+
for o_idx, sts in ev["starts"].items():
|
| 218 |
+
if o_idx not in idx_of:
|
| 219 |
+
continue
|
| 220 |
+
for s in sts:
|
| 221 |
+
cause = None
|
| 222 |
+
for e in cev:
|
| 223 |
+
a, b = e["objects"]
|
| 224 |
+
if o_idx in (a, b) and abs(e["frame"] - s) <= config.CAUSE_WINDOW_FRAMES:
|
| 225 |
+
cause = b if a == o_idx else a
|
| 226 |
+
break
|
| 227 |
+
if cause is None:
|
| 228 |
+
continue
|
| 229 |
+
ans = f"the collision with {refc[cause]}"
|
| 230 |
+
others = [p for e in cev for p in e["objects"]
|
| 231 |
+
if p not in (o_idx, cause) and p in refc]
|
| 232 |
+
distractors = [f"the collision with {refc[p]}" for p in dict.fromkeys(others)]
|
| 233 |
+
distractors += ["it was pushed by the wall", "nothing - it was already moving"]
|
| 234 |
+
rng.shuffle(distractors)
|
| 235 |
+
ch, ai = _shuffle_choices(ans, distractors[:3], rng)
|
| 236 |
+
out.append(_q(f"What caused {refc[o_idx]} to start moving?", ans, ch, ai,
|
| 237 |
+
"explanatory", "cause_of_motion",
|
| 238 |
+
[{"op": "filter_object", "idx": o_idx},
|
| 239 |
+
{"op": "query_motion_cause"}]))
|
| 240 |
+
|
| 241 |
+
# which object started moving right before / after a collision
|
| 242 |
+
for e in cev:
|
| 243 |
+
a, b = e["objects"]
|
| 244 |
+
t = e["frame"]
|
| 245 |
+
for direction, lo, hi, pick in (("after", t + 1, t + 12, min),
|
| 246 |
+
("before", max(1, t - 12), t, max)):
|
| 247 |
+
cands = [(s, o) for o, ss in ev["starts"].items()
|
| 248 |
+
if o not in (a, b) and o in idx_of for s in ss
|
| 249 |
+
if lo <= s <= hi]
|
| 250 |
+
if not cands:
|
| 251 |
+
continue
|
| 252 |
+
_, ans_o = pick(cands)
|
| 253 |
+
ans = refc[ans_o]
|
| 254 |
+
others = [o for o in objs if o["idx"] not in (ans_o, a, b)]
|
| 255 |
+
distractors = [_ref(o, objs) for o in others]
|
| 256 |
+
distractors.append("none of them")
|
| 257 |
+
rng.shuffle(distractors)
|
| 258 |
+
ch, ai = _shuffle_choices(ans, distractors[:3], rng)
|
| 259 |
+
out.append(_q(f"Which object started moving right {direction} "
|
| 260 |
+
f"{ev_desc(e)}?", ans, ch, ai, "explanatory",
|
| 261 |
+
f"who_started_{direction}",
|
| 262 |
+
[{"op": "find_collision", "objects": [a, b]},
|
| 263 |
+
{"op": f"query_{direction}_motion_start"}]))
|
| 264 |
+
|
| 265 |
+
# how many objects were moving when a collision happened
|
| 266 |
+
for e in cev:
|
| 267 |
+
a, b = e["objects"]
|
| 268 |
+
t = min(e["frame"], ev["moving"].shape[0] - 1)
|
| 269 |
+
cnt = int(ev["moving"][t].sum())
|
| 270 |
+
ch = _numeric_choices(cnt, 0, len(objs), rng)
|
| 271 |
+
out.append(_q(f"How many objects were moving when {ev_desc(e)}?",
|
| 272 |
+
str(cnt), ch, None, "explanatory", "count_moving_at",
|
| 273 |
+
[{"op": "find_collision", "objects": [a, b]},
|
| 274 |
+
{"op": "count_moving_at_collision"}]))
|
| 275 |
+
|
| 276 |
+
# total number of collisions
|
| 277 |
+
if len(cev) >= 2:
|
| 278 |
+
ch = _numeric_choices(len(cev), 0, max(6, len(cev) + 1), rng)
|
| 279 |
+
out.append(_q("How many collisions happened in the video?",
|
| 280 |
+
str(len(cev)), ch, None, "explanatory",
|
| 281 |
+
"count_collisions",
|
| 282 |
+
[{"op": "filter_event", "type": "collision"}, {"op": "count"}]))
|
| 283 |
+
return out
|
| 284 |
+
|
| 285 |
+
|
| 286 |
+
# --------------------------------------------------------------------------
|
| 287 |
+
# predictive questions (binary, grounded in the full recorded trajectory)
|
| 288 |
+
# --------------------------------------------------------------------------
|
| 289 |
+
|
| 290 |
+
def _predictive(objs, ev, rng):
|
| 291 |
+
out = []
|
| 292 |
+
cev = ev["collisions"]
|
| 293 |
+
idx_of = {o["idx"]: o for o in objs}
|
| 294 |
+
pairs_collided = {tuple(sorted(e["objects"])) for e in cev}
|
| 295 |
+
all_pairs = [tuple(sorted((a["idx"], b["idx"])))
|
| 296 |
+
for i, a in enumerate(objs) for b in objs[i + 1:]]
|
| 297 |
+
|
| 298 |
+
def binary_q(pair, ans_yes, template):
|
| 299 |
+
a, b = pair
|
| 300 |
+
ch = ["yes", "no"]
|
| 301 |
+
rng.shuffle(ch)
|
| 302 |
+
ans = "yes" if ans_yes else "no"
|
| 303 |
+
return _q(f"Will {_ref(idx_of[a], objs)} collide with "
|
| 304 |
+
f"{_ref(idx_of[b], objs)} by the end of the video?",
|
| 305 |
+
ans, ch, ch.index(ans), "predictive", template,
|
| 306 |
+
[{"op": "find_collision", "objects": [a, b]},
|
| 307 |
+
{"op": "query_existence"}])
|
| 308 |
+
|
| 309 |
+
yes_pairs = [p for p in pairs_collided]
|
| 310 |
+
no_pairs = [p for p in all_pairs if p not in pairs_collided]
|
| 311 |
+
if yes_pairs:
|
| 312 |
+
p = yes_pairs[int(rng.integers(len(yes_pairs)))]
|
| 313 |
+
out.append(binary_q(p, True, "will_collide"))
|
| 314 |
+
if no_pairs:
|
| 315 |
+
p = no_pairs[int(rng.integers(len(no_pairs)))]
|
| 316 |
+
out.append(binary_q(p, False, "will_collide"))
|
| 317 |
+
|
| 318 |
+
# after colliding with b, will a collide with something else?
|
| 319 |
+
for e in cev:
|
| 320 |
+
a, b = e["objects"]
|
| 321 |
+
later = [x for x in cev if x is not e and a in x["objects"]
|
| 322 |
+
and x["frame"] > e["frame"]]
|
| 323 |
+
if not later and len(cev) < 2:
|
| 324 |
+
continue
|
| 325 |
+
ans = "yes" if later else "no"
|
| 326 |
+
ch = ["yes", "no"]
|
| 327 |
+
rng.shuffle(ch)
|
| 328 |
+
out.append(_q(f"After {_coll_desc(objs, idx_of[a], idx_of[b])}, "
|
| 329 |
+
f"will {_ref(idx_of[a], objs)} collide with something else?",
|
| 330 |
+
ans, ch, ch.index(ans), "predictive", "will_collide_again",
|
| 331 |
+
[{"op": "find_collision", "objects": [a, b]},
|
| 332 |
+
{"op": "query_subsequent_collision"}]))
|
| 333 |
+
return out
|
| 334 |
+
|
| 335 |
+
|
| 336 |
+
# --------------------------------------------------------------------------
|
| 337 |
+
# counterfactual questions (re-simulate the scene with one object removed)
|
| 338 |
+
# --------------------------------------------------------------------------
|
| 339 |
+
|
| 340 |
+
def _counterfactual(objs, ev, rng, num_frames):
|
| 341 |
+
out = []
|
| 342 |
+
cev = ev["collisions"]
|
| 343 |
+
if not cev or len(objs) < 3:
|
| 344 |
+
return out
|
| 345 |
+
idx_of = {o["idx"]: o for o in objs}
|
| 346 |
+
refc = {o["idx"]: _ref(o, objs) for o in objs}
|
| 347 |
+
|
| 348 |
+
cache = {}
|
| 349 |
+
|
| 350 |
+
def cf_events(z):
|
| 351 |
+
if z not in cache:
|
| 352 |
+
cache[z] = simulate.resimulate_without(
|
| 353 |
+
[dict(s) for s in objs], z, num_frames)
|
| 354 |
+
return cache[z]
|
| 355 |
+
|
| 356 |
+
def binary(ans_yes, question, template, program):
|
| 357 |
+
ch = ["yes", "no"]
|
| 358 |
+
rng.shuffle(ch)
|
| 359 |
+
ans = "yes" if ans_yes else "no"
|
| 360 |
+
out.append(_q(question, ans, ch, ch.index(ans), "counterfactual",
|
| 361 |
+
template, program))
|
| 362 |
+
|
| 363 |
+
# would a still collide with b without z?
|
| 364 |
+
for e in cev:
|
| 365 |
+
a, b = e["objects"]
|
| 366 |
+
others = [o["idx"] for o in objs if o["idx"] not in (a, b)]
|
| 367 |
+
for z in others:
|
| 368 |
+
cf = cf_events(z)
|
| 369 |
+
still = any(set(x["objects"]) == {a, b} for x in cf["collisions"])
|
| 370 |
+
binary(still,
|
| 371 |
+
f"If {refc[z]} were removed, would {refc[a]} still collide "
|
| 372 |
+
f"with {refc[b]}?",
|
| 373 |
+
"cf_collision",
|
| 374 |
+
[{"op": "remove_object", "idx": z},
|
| 375 |
+
{"op": "find_collision", "objects": [a, b]},
|
| 376 |
+
{"op": "query_existence"}])
|
| 377 |
+
|
| 378 |
+
# would o still start moving without z (z can be its collision partner)?
|
| 379 |
+
for o_idx, sts in ev["starts"].items():
|
| 380 |
+
if not sts or o_idx not in idx_of:
|
| 381 |
+
continue
|
| 382 |
+
partners = set()
|
| 383 |
+
for e in cev:
|
| 384 |
+
if o_idx in e["objects"]:
|
| 385 |
+
partners |= {p for p in e["objects"] if p != o_idx}
|
| 386 |
+
others = list(partners) + [o["idx"] for o in objs
|
| 387 |
+
if o["idx"] not in {o_idx} | partners]
|
| 388 |
+
for z in dict.fromkeys(others):
|
| 389 |
+
cf = cf_events(z)
|
| 390 |
+
still = (o_idx in cf["initially_moving"]) or bool(cf["starts"].get(o_idx))
|
| 391 |
+
binary(still,
|
| 392 |
+
f"If {refc[z]} were removed, would {refc[o_idx]} still "
|
| 393 |
+
f"start moving?",
|
| 394 |
+
"cf_motion",
|
| 395 |
+
[{"op": "remove_object", "idx": z},
|
| 396 |
+
{"op": "filter_object", "idx": o_idx},
|
| 397 |
+
{"op": "query_motion_start"}])
|
| 398 |
+
return out
|
| 399 |
+
|
| 400 |
+
|
| 401 |
+
# --------------------------------------------------------------------------
|
| 402 |
+
# orchestration
|
| 403 |
+
# --------------------------------------------------------------------------
|
| 404 |
+
|
| 405 |
+
def build_questions(spec, ev, rng, num_frames, max_questions=8):
|
| 406 |
+
"""Return a list of question dicts sampled across the 4 CLEVRER types."""
|
| 407 |
+
objs = [s for s in spec if not s.get("is_probe")]
|
| 408 |
+
probe_idx = {s["idx"] for s in spec if s.get("is_probe")}
|
| 409 |
+
|
| 410 |
+
if probe_idx: # drop probe objects from question-relevant events
|
| 411 |
+
ev = {
|
| 412 |
+
"collisions": [e for e in ev["collisions"] if not probe_idx & set(e["objects"])],
|
| 413 |
+
"starts": {k: v for k, v in ev["starts"].items() if k not in probe_idx},
|
| 414 |
+
"stops": {k: v for k, v in ev["stops"].items() if k not in probe_idx},
|
| 415 |
+
"initially_moving": [k for k in ev["initially_moving"] if k not in probe_idx],
|
| 416 |
+
"moving": ev["moving"],
|
| 417 |
+
"speeds": ev["speeds"],
|
| 418 |
+
"wall_hits": [w for w in ev["wall_hits"] if w[1] not in probe_idx],
|
| 419 |
+
}
|
| 420 |
+
|
| 421 |
+
pools = {
|
| 422 |
+
"descriptive": _descriptive(objs, ev, rng),
|
| 423 |
+
"explanatory": _explanatory(objs, ev, rng),
|
| 424 |
+
"predictive": _predictive(objs, ev, rng),
|
| 425 |
+
"counterfactual": _counterfactual(objs, ev, rng, num_frames),
|
| 426 |
+
}
|
| 427 |
+
|
| 428 |
+
quotas = [("descriptive", 3), ("explanatory", 2),
|
| 429 |
+
("predictive", 1), ("counterfactual", 2)]
|
| 430 |
+
picked, seen = [], set()
|
| 431 |
+
|
| 432 |
+
def take(pool, k):
|
| 433 |
+
pool = [q for q in pool if q["question"] not in seen]
|
| 434 |
+
rng.shuffle(pool)
|
| 435 |
+
for q in pool[:k]:
|
| 436 |
+
seen.add(q["question"])
|
| 437 |
+
picked.append(q)
|
| 438 |
+
|
| 439 |
+
for qtype, k in quotas:
|
| 440 |
+
take(pools[qtype], k)
|
| 441 |
+
leftover = [q for pool in pools.values() for q in pool
|
| 442 |
+
if q["question"] not in seen]
|
| 443 |
+
rng.shuffle(leftover)
|
| 444 |
+
for q in leftover:
|
| 445 |
+
if len(picked) >= max_questions:
|
| 446 |
+
break
|
| 447 |
+
seen.add(q["question"])
|
| 448 |
+
picked.append(q)
|
| 449 |
+
|
| 450 |
+
rng.shuffle(picked)
|
| 451 |
+
return picked
|
clevrer_lite/renderer.py
ADDED
|
@@ -0,0 +1,104 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Top-down PIL renderer for the 2D CLEVRER-lite world.
|
| 2 |
+
|
| 3 |
+
Sphere -> shaded disc with a specular highlight
|
| 4 |
+
Cube -> rotated square with beveled edges
|
| 5 |
+
Cylinder-> ring (dark side + lighter top face), as seen from above
|
| 6 |
+
Metal -> brighter material with a strong specular; rubber is matte.
|
| 7 |
+
"""
|
| 8 |
+
|
| 9 |
+
import numpy as np
|
| 10 |
+
from PIL import Image, ImageDraw
|
| 11 |
+
|
| 12 |
+
from . import config
|
| 13 |
+
|
| 14 |
+
_LIGHT = np.array([-0.6, -0.8]) # light comes from top-left
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
def _shade(rgb, factor):
|
| 18 |
+
return tuple(int(min(255, max(0, c * factor))) for c in rgb)
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
def _background(size):
|
| 22 |
+
top = np.array([128.0, 128.0, 133.0])
|
| 23 |
+
bot = np.array([100.0, 100.0, 106.0])
|
| 24 |
+
rows = np.linspace(0.0, 1.0, size)[:, None]
|
| 25 |
+
grad = top[None, :] * (1.0 - rows) + bot[None, :] * rows # (size, 3)
|
| 26 |
+
arr = np.repeat(grad[:, None, :], size, axis=1) # (size, size, 3)
|
| 27 |
+
return arr.astype(np.uint8)
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
def render(bodies, size: int = 128, half: float = config.WORLD_HALF) -> np.ndarray:
|
| 31 |
+
"""Render a list of Body objects into an (size, size, 3) uint8 array."""
|
| 32 |
+
ss = 2 # 2x supersampling for anti-aliasing
|
| 33 |
+
S = size * ss
|
| 34 |
+
scale = S / (2.0 * half)
|
| 35 |
+
|
| 36 |
+
def to_px(p):
|
| 37 |
+
return (p[0] + half) * scale, (half - p[1]) * scale # flip y: +y is "behind"
|
| 38 |
+
|
| 39 |
+
img = Image.fromarray(_background(S), "RGB")
|
| 40 |
+
|
| 41 |
+
# ---- soft ground shadows (drawn on an RGBA overlay) ----
|
| 42 |
+
shadow = Image.new("RGBA", (S, S), (0, 0, 0, 0))
|
| 43 |
+
sd = ImageDraw.Draw(shadow)
|
| 44 |
+
off = 0.05 * scale
|
| 45 |
+
for b in bodies:
|
| 46 |
+
cx, cy = to_px(b.pos)
|
| 47 |
+
r = b.radius * scale
|
| 48 |
+
sd.ellipse([cx - r + off, cy - r + off * 0.5, cx + r + off, cy + r + off * 0.5],
|
| 49 |
+
fill=(15, 15, 20, 60))
|
| 50 |
+
img = Image.alpha_composite(img.convert("RGBA"), shadow).convert("RGB")
|
| 51 |
+
|
| 52 |
+
d = ImageDraw.Draw(img)
|
| 53 |
+
spec = Image.new("RGBA", (S, S), (0, 0, 0, 0))
|
| 54 |
+
spd = ImageDraw.Draw(spec)
|
| 55 |
+
|
| 56 |
+
for b in sorted(bodies, key=lambda x: -x.radius):
|
| 57 |
+
base = np.array(config.COLORS[b.color], dtype=float)
|
| 58 |
+
if b.material == "metal":
|
| 59 |
+
base = np.clip(base * 1.25 + 28, 0, 255)
|
| 60 |
+
base = tuple(int(c) for c in base)
|
| 61 |
+
cx, cy = to_px(b.pos)
|
| 62 |
+
r = b.radius * scale
|
| 63 |
+
|
| 64 |
+
if b.shape == "sphere":
|
| 65 |
+
d.ellipse([cx - r, cy - r, cx + r, cy + r], fill=_shade(base, 0.72))
|
| 66 |
+
d.ellipse([cx - 0.92 * r, cy - 0.92 * r, cx + 0.92 * r, cy + 0.92 * r],
|
| 67 |
+
fill=base)
|
| 68 |
+
hi_a = 210 if b.material == "metal" else 90
|
| 69 |
+
spd.ellipse([cx - 0.45 * r, cy - 0.55 * r, cx - 0.05 * r, cy - 0.15 * r],
|
| 70 |
+
fill=(255, 255, 255, hi_a))
|
| 71 |
+
|
| 72 |
+
elif b.shape == "cube":
|
| 73 |
+
hs = r * 0.88 # half side s.t. area ~ circle
|
| 74 |
+
ang = b.angle
|
| 75 |
+
ca, sa = np.cos(ang), np.sin(ang)
|
| 76 |
+
corners = []
|
| 77 |
+
for dx, dy in ((-1, -1), (1, -1), (1, 1), (-1, 1)):
|
| 78 |
+
corners.append((cx + hs * (dx * ca - dy * sa),
|
| 79 |
+
cy + hs * (dx * sa + dy * ca)))
|
| 80 |
+
d.polygon(corners, fill=base)
|
| 81 |
+
# bevel: edges facing the light are bright, others dark
|
| 82 |
+
for k in range(4):
|
| 83 |
+
a_, b_ = corners[k], corners[(k + 1) % 4]
|
| 84 |
+
ex, ey = b_[0] - a_[0], b_[1] - a_[1]
|
| 85 |
+
ln = np.hypot(ex, ey) + 1e-9
|
| 86 |
+
nx, ny = -ey / ln, ex / ln # outward normal (polygon is CCW on screen)
|
| 87 |
+
if nx * _LIGHT[0] + ny * _LIGHT[1] < 0:
|
| 88 |
+
col = _shade(base, 1.45 if b.material == "metal" else 1.22)
|
| 89 |
+
else:
|
| 90 |
+
col = _shade(base, 0.55)
|
| 91 |
+
d.line([a_, b_], fill=col, width=max(2, int(0.06 * r)))
|
| 92 |
+
|
| 93 |
+
else: # cylinder seen from above: dark rim + lighter top face
|
| 94 |
+
d.ellipse([cx - r, cy - r, cx + r, cy + r], fill=_shade(base, 0.62))
|
| 95 |
+
d.ellipse([cx - 0.78 * r, cy - 0.78 * r, cx + 0.78 * r, cy + 0.78 * r],
|
| 96 |
+
fill=base)
|
| 97 |
+
spd.ellipse([cx - 0.5 * r, cy - 0.55 * r, cx - 0.1 * r, cy - 0.2 * r],
|
| 98 |
+
fill=(255, 255, 255, 200 if b.material == "metal" else 70))
|
| 99 |
+
|
| 100 |
+
img = Image.alpha_composite(img.convert("RGBA"), spec).convert("RGB")
|
| 101 |
+
|
| 102 |
+
# downsample for anti-aliasing
|
| 103 |
+
img = img.resize((size, size), Image.LANCZOS)
|
| 104 |
+
return np.asarray(img, dtype=np.uint8)
|
clevrer_lite/simulate.py
ADDED
|
@@ -0,0 +1,153 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Scene sampling, deterministic rollout, and counterfactual re-simulation."""
|
| 2 |
+
|
| 3 |
+
import numpy as np
|
| 4 |
+
|
| 5 |
+
from . import config, physics, events as events_mod
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
# --------------------------------------------------------------------------
|
| 9 |
+
# scene specification (serializable dicts) <-> Body objects
|
| 10 |
+
# --------------------------------------------------------------------------
|
| 11 |
+
|
| 12 |
+
def sample_spec(rng, n_objects=None, probe=False):
|
| 13 |
+
"""Sample a random CLEVRER-style scene spec (list of dicts)."""
|
| 14 |
+
n = int(n_objects if n_objects is not None else rng.integers(3, 7)) # 3..6
|
| 15 |
+
colors = rng.permutation(config.COLOR_NAMES)[:n] # unique colors
|
| 16 |
+
shapes = rng.choice(config.SHAPES, size=n)
|
| 17 |
+
materials = rng.choice(config.MATERIALS, size=n)
|
| 18 |
+
sizes = rng.choice(config.SIZES, size=n)
|
| 19 |
+
|
| 20 |
+
# non-overlapping positions (rejection sampling)
|
| 21 |
+
radii = np.array([rng.uniform(*config.SIZE_RADIUS[s]) for s in sizes])
|
| 22 |
+
positions = np.zeros((n, 2))
|
| 23 |
+
placed = 0
|
| 24 |
+
tries = 0
|
| 25 |
+
while placed < n:
|
| 26 |
+
tries += 1
|
| 27 |
+
if tries > 4000:
|
| 28 |
+
raise RuntimeError("could not place objects without overlap")
|
| 29 |
+
p = rng.uniform(-config.SPAWN_HALF, config.SPAWN_HALF, size=2)
|
| 30 |
+
ok = True
|
| 31 |
+
for k in range(placed):
|
| 32 |
+
if np.linalg.norm(p - positions[k]) < radii[k] + radii[placed] + 0.22:
|
| 33 |
+
ok = False
|
| 34 |
+
break
|
| 35 |
+
if ok:
|
| 36 |
+
positions[placed] = p
|
| 37 |
+
placed += 1
|
| 38 |
+
|
| 39 |
+
# at least 2 objects moving, at least one stationary (for causal questions)
|
| 40 |
+
n_moving = int(rng.integers(2, min(n, 4) + 1))
|
| 41 |
+
moving_idx = set(rng.permutation(n)[:n_moving].tolist())
|
| 42 |
+
|
| 43 |
+
spec = []
|
| 44 |
+
for i in range(n):
|
| 45 |
+
v = np.zeros(2)
|
| 46 |
+
if i in moving_idx:
|
| 47 |
+
theta = rng.uniform(0, 2 * np.pi)
|
| 48 |
+
speed = rng.uniform(*config.SPEED_RANGE)
|
| 49 |
+
v = np.array([np.cos(theta), np.sin(theta)]) * speed
|
| 50 |
+
spec.append({
|
| 51 |
+
"idx": i,
|
| 52 |
+
"color": str(colors[i]),
|
| 53 |
+
"shape": str(shapes[i]),
|
| 54 |
+
"material": str(materials[i]),
|
| 55 |
+
"size": str(sizes[i]),
|
| 56 |
+
"radius": float(radii[i]),
|
| 57 |
+
"position": positions[i].tolist(),
|
| 58 |
+
"velocity": v.tolist(),
|
| 59 |
+
"spin": float(rng.uniform(-1.5, 1.5)),
|
| 60 |
+
"is_probe": False,
|
| 61 |
+
})
|
| 62 |
+
|
| 63 |
+
if probe:
|
| 64 |
+
theta = rng.uniform(0, 2 * np.pi)
|
| 65 |
+
spec.append({
|
| 66 |
+
"idx": n, "color": config.PROBE_COLOR, "shape": "sphere",
|
| 67 |
+
"material": "metal", "size": config.PROBE_SIZE,
|
| 68 |
+
"radius": config.PROBE_RADIUS,
|
| 69 |
+
"position": rng.uniform(-config.SPAWN_HALF, config.SPAWN_HALF, size=2).tolist(),
|
| 70 |
+
"velocity": [0.0, 0.0],
|
| 71 |
+
"spin": 0.0, "is_probe": True,
|
| 72 |
+
})
|
| 73 |
+
return spec
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
def bodies_from_spec(spec):
|
| 77 |
+
from dataclasses import fields as dc_fields
|
| 78 |
+
bodies = []
|
| 79 |
+
for s in spec:
|
| 80 |
+
kwargs = {k: s[k] for k in ("idx", "color", "shape", "material", "size",
|
| 81 |
+
"radius", "spin", "is_probe")}
|
| 82 |
+
kwargs["pos"] = np.array(s["position"], dtype=float)
|
| 83 |
+
kwargs["vel"] = np.array(s["velocity"], dtype=float)
|
| 84 |
+
kwargs["mass"] = physics.mass_of(s["radius"], s["material"])
|
| 85 |
+
kwargs["angle"] = 0.0
|
| 86 |
+
bodies.append(physics.Body(**kwargs))
|
| 87 |
+
return bodies
|
| 88 |
+
|
| 89 |
+
|
| 90 |
+
def spec_of(bodies):
|
| 91 |
+
return [{
|
| 92 |
+
"idx": b.idx, "color": b.color, "shape": b.shape, "material": b.material,
|
| 93 |
+
"size": b.size, "radius": float(b.radius),
|
| 94 |
+
"position": b.pos.tolist(), "velocity": b.vel.tolist(),
|
| 95 |
+
"spin": float(b.spin), "is_probe": b.is_probe,
|
| 96 |
+
} for b in bodies]
|
| 97 |
+
|
| 98 |
+
|
| 99 |
+
# --------------------------------------------------------------------------
|
| 100 |
+
# rollout
|
| 101 |
+
# --------------------------------------------------------------------------
|
| 102 |
+
|
| 103 |
+
def rollout(bodies, num_frames, render_fn=None, action_fn=None):
|
| 104 |
+
"""Run a deterministic rollout (physics never uses RNG).
|
| 105 |
+
|
| 106 |
+
Args:
|
| 107 |
+
bodies: list[Body] (mutated in place).
|
| 108 |
+
num_frames: number of rendered frames.
|
| 109 |
+
render_fn: optional callable(bodies) -> frame array.
|
| 110 |
+
action_fn: optional callable(t, bodies) applied at the start of frame t
|
| 111 |
+
(used by the gym env for probe-ball actions).
|
| 112 |
+
|
| 113 |
+
Returns:
|
| 114 |
+
dict with states (T, n, 4), collisions [(t, i, j)], wall_hits [(t, i, ax, s)],
|
| 115 |
+
and frames (T, H, W, 3) if render_fn was given.
|
| 116 |
+
"""
|
| 117 |
+
world = physics.World(bodies)
|
| 118 |
+
n = len(bodies)
|
| 119 |
+
states = np.zeros((num_frames, n, 4), dtype=float)
|
| 120 |
+
collisions, wall_hits = [], []
|
| 121 |
+
frames = [] if render_fn is not None else None
|
| 122 |
+
|
| 123 |
+
for t in range(num_frames):
|
| 124 |
+
if action_fn is not None:
|
| 125 |
+
action_fn(t, bodies)
|
| 126 |
+
for _ in range(config.SUBSTEPS):
|
| 127 |
+
contacts, hits = world.step(config.SUB_DT)
|
| 128 |
+
for (i, j) in contacts:
|
| 129 |
+
collisions.append((t, i, j))
|
| 130 |
+
for (i, ax, s) in hits:
|
| 131 |
+
wall_hits.append((t, i, ax, s))
|
| 132 |
+
for k, b in enumerate(bodies):
|
| 133 |
+
states[t, k] = (b.pos[0], b.pos[1], b.vel[0], b.vel[1])
|
| 134 |
+
if render_fn is not None:
|
| 135 |
+
frames.append(render_fn(bodies))
|
| 136 |
+
|
| 137 |
+
return {"states": states, "collisions": collisions, "wall_hits": wall_hits,
|
| 138 |
+
"frames": frames}
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
# --------------------------------------------------------------------------
|
| 142 |
+
# counterfactual re-simulation (the CLEVRER trick: remove an object, re-run)
|
| 143 |
+
# --------------------------------------------------------------------------
|
| 144 |
+
|
| 145 |
+
def resimulate_without(spec, removed_idx, num_frames):
|
| 146 |
+
"""Deep-copy the scene minus one object, re-run physics, extract events."""
|
| 147 |
+
import copy
|
| 148 |
+
spec2 = copy.deepcopy([s for s in spec if s["idx"] != removed_idx])
|
| 149 |
+
bodies = bodies_from_spec(spec2)
|
| 150 |
+
out = rollout(bodies, num_frames, render_fn=None)
|
| 151 |
+
ev = events_mod.extract_events(out["states"], out["collisions"],
|
| 152 |
+
out["wall_hits"], n=len(bodies))
|
| 153 |
+
return ev
|
demo_episode.gif
ADDED
|
Git LFS Details
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output/annotations.json
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@@ -0,0 +1,3237 @@
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| 1 |
+
[
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| 2 |
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{
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 21 |
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| 22 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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"idx": 1,
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| 30 |
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"color": "brown",
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 66 |
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| 67 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 89 |
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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| 129 |
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| 134 |
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| 135 |
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| 136 |
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| 137 |
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| 143 |
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| 145 |
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| 149 |
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| 166 |
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|
| 201 |
+
5,
|
| 202 |
+
5,
|
| 203 |
+
1,
|
| 204 |
+
1
|
| 205 |
+
],
|
| 206 |
+
[
|
| 207 |
+
17,
|
| 208 |
+
0,
|
| 209 |
+
1,
|
| 210 |
+
-1
|
| 211 |
+
],
|
| 212 |
+
[
|
| 213 |
+
27,
|
| 214 |
+
2,
|
| 215 |
+
1,
|
| 216 |
+
1
|
| 217 |
+
],
|
| 218 |
+
[
|
| 219 |
+
30,
|
| 220 |
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4,
|
| 221 |
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0,
|
| 222 |
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1
|
| 223 |
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],
|
| 224 |
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[
|
| 225 |
+
52,
|
| 226 |
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0,
|
| 227 |
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0,
|
| 228 |
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-1
|
| 229 |
+
],
|
| 230 |
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[
|
| 231 |
+
62,
|
| 232 |
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4,
|
| 233 |
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1,
|
| 234 |
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-1
|
| 235 |
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]
|
| 236 |
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]
|
| 237 |
+
},
|
| 238 |
+
"questions": [
|
| 239 |
+
{
|
| 240 |
+
"question": "Will the green sphere collide with the gray sphere by the end of the video?",
|
| 241 |
+
"answer": "yes",
|
| 242 |
+
"choices": [
|
| 243 |
+
"yes",
|
| 244 |
+
"no"
|
| 245 |
+
],
|
| 246 |
+
"answer_index": 0,
|
| 247 |
+
"question_type": "predictive",
|
| 248 |
+
"template": "will_collide",
|
| 249 |
+
"program": [
|
| 250 |
+
{
|
| 251 |
+
"op": "find_collision",
|
| 252 |
+
"objects": [
|
| 253 |
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2,
|
| 254 |
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5
|
| 255 |
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]
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
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"op": "query_existence"
|
| 259 |
+
}
|
| 260 |
+
]
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"question": "If the cyan cylinder were removed, would the purple sphere still collide with the gray sphere?",
|
| 264 |
+
"answer": "yes",
|
| 265 |
+
"choices": [
|
| 266 |
+
"no",
|
| 267 |
+
"yes"
|
| 268 |
+
],
|
| 269 |
+
"answer_index": 1,
|
| 270 |
+
"question_type": "counterfactual",
|
| 271 |
+
"template": "cf_collision",
|
| 272 |
+
"program": [
|
| 273 |
+
{
|
| 274 |
+
"op": "remove_object",
|
| 275 |
+
"idx": 3
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"op": "find_collision",
|
| 279 |
+
"objects": [
|
| 280 |
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4,
|
| 281 |
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5
|
| 282 |
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]
|
| 283 |
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},
|
| 284 |
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{
|
| 285 |
+
"op": "query_existence"
|
| 286 |
+
}
|
| 287 |
+
]
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"question": "What happened right before the green sphere collided with the gray sphere?",
|
| 291 |
+
"answer": "the purple sphere collided with the gray sphere",
|
| 292 |
+
"choices": [
|
| 293 |
+
"the purple sphere collided with the wall",
|
| 294 |
+
"the purple sphere started moving",
|
| 295 |
+
"the purple sphere collided with the gray sphere",
|
| 296 |
+
"nothing happened"
|
| 297 |
+
],
|
| 298 |
+
"answer_index": 2,
|
| 299 |
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"question_type": "explanatory",
|
| 300 |
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"template": "what_happened_before",
|
| 301 |
+
"program": [
|
| 302 |
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{
|
| 303 |
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"op": "find_collision",
|
| 304 |
+
"objects": [
|
| 305 |
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2,
|
| 306 |
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5
|
| 307 |
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]
|
| 308 |
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},
|
| 309 |
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{
|
| 310 |
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"op": "query_before_event"
|
| 311 |
+
}
|
| 312 |
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]
|
| 313 |
+
},
|
| 314 |
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{
|
| 315 |
+
"question": "What shape is the green object?",
|
| 316 |
+
"answer": "sphere",
|
| 317 |
+
"choices": [
|
| 318 |
+
"cube",
|
| 319 |
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"sphere",
|
| 320 |
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"cylinder"
|
| 321 |
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],
|
| 322 |
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"answer_index": 1,
|
| 323 |
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"question_type": "descriptive",
|
| 324 |
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"template": "query_shape",
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| 325 |
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"program": [
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| 326 |
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{
|
| 327 |
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"op": "filter_color",
|
| 328 |
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"value": "green"
|
| 329 |
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},
|
| 330 |
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{
|
| 331 |
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"op": "query_shape"
|
| 332 |
+
}
|
| 333 |
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]
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"question": "What shape is the blue object?",
|
| 337 |
+
"answer": "cube",
|
| 338 |
+
"choices": [
|
| 339 |
+
"cylinder",
|
| 340 |
+
"sphere",
|
| 341 |
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"cube"
|
| 342 |
+
],
|
| 343 |
+
"answer_index": 2,
|
| 344 |
+
"question_type": "descriptive",
|
| 345 |
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"template": "query_shape",
|
| 346 |
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"program": [
|
| 347 |
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{
|
| 348 |
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"op": "filter_color",
|
| 349 |
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"value": "blue"
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
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"op": "query_shape"
|
| 353 |
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}
|
| 354 |
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]
|
| 355 |
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},
|
| 356 |
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{
|
| 357 |
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"question": "What color is the object left of the blue cube?",
|
| 358 |
+
"answer": "brown",
|
| 359 |
+
"choices": [
|
| 360 |
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"cyan",
|
| 361 |
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"green",
|
| 362 |
+
"gray",
|
| 363 |
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"red",
|
| 364 |
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"brown",
|
| 365 |
+
"blue",
|
| 366 |
+
"yellow",
|
| 367 |
+
"purple"
|
| 368 |
+
],
|
| 369 |
+
"answer_index": 4,
|
| 370 |
+
"question_type": "descriptive",
|
| 371 |
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"template": "query_color_rel",
|
| 372 |
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"program": [
|
| 373 |
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{
|
| 374 |
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"op": "filter_color",
|
| 375 |
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"value": "blue"
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| 376 |
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},
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| 377 |
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{
|
| 378 |
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"op": "relate",
|
| 379 |
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"direction": "left_of"
|
| 380 |
+
},
|
| 381 |
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{
|
| 382 |
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"op": "query_color"
|
| 383 |
+
}
|
| 384 |
+
]
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"question": "If the cyan cylinder were removed, would the purple sphere still start moving?",
|
| 388 |
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"answer": "yes",
|
| 389 |
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"choices": [
|
| 390 |
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"no",
|
| 391 |
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"yes"
|
| 392 |
+
],
|
| 393 |
+
"answer_index": 1,
|
| 394 |
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"question_type": "counterfactual",
|
| 395 |
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"template": "cf_motion",
|
| 396 |
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"program": [
|
| 397 |
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{
|
| 398 |
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"op": "remove_object",
|
| 399 |
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"idx": 3
|
| 400 |
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},
|
| 401 |
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{
|
| 402 |
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"op": "filter_object",
|
| 403 |
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"idx": 4
|
| 404 |
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},
|
| 405 |
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{
|
| 406 |
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"op": "query_motion_start"
|
| 407 |
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}
|
| 408 |
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]
|
| 409 |
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},
|
| 410 |
+
{
|
| 411 |
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"question": "How many objects were moving when the purple sphere collided with the gray sphere?",
|
| 412 |
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"answer": "4",
|
| 413 |
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"choices": [
|
| 414 |
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"0",
|
| 415 |
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"1",
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| 416 |
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"2",
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| 417 |
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"3",
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| 418 |
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"4",
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| 419 |
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"5"
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| 420 |
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],
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| 421 |
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"answer_index": 4,
|
| 422 |
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"question_type": "explanatory",
|
| 423 |
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"template": "count_moving_at",
|
| 424 |
+
"program": [
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| 425 |
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{
|
| 426 |
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"op": "find_collision",
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| 427 |
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"objects": [
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| 428 |
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4,
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| 429 |
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5
|
| 430 |
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]
|
| 431 |
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},
|
| 432 |
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{
|
| 433 |
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"op": "count_moving_at_collision"
|
| 434 |
+
}
|
| 435 |
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]
|
| 436 |
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}
|
| 437 |
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]
|
| 438 |
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},
|
| 439 |
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{
|
| 440 |
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"video_index": 1,
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| 441 |
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"video_filename": "videos/video_00001.gif",
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| 442 |
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"num_frames": 64,
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| 443 |
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"frame_size": 128,
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| 444 |
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"fps": 25,
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| 445 |
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"scene": {
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| 446 |
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{
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| 448 |
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"idx": 0,
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| 449 |
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"color": "purple",
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| 450 |
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"shape": "cylinder",
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| 451 |
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"material": "rubber",
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| 452 |
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"size": "small",
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| 453 |
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"radius": 0.17228859879315672,
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],
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0.0,
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0.0
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],
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},
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{
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| 466 |
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"idx": 1,
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| 467 |
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"color": "gray",
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| 468 |
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"shape": "sphere",
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| 469 |
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"material": "rubber",
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"size": "small",
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"radius": 0.15978390298994555,
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"position": [
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],
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"velocity": [
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],
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"spin": 0.04820575664363602,
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"is_probe": false
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| 482 |
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},
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{
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| 484 |
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"idx": 2,
|
| 485 |
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"color": "red",
|
| 486 |
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"shape": "cube",
|
| 487 |
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"material": "metal",
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| 488 |
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"size": "large",
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| 489 |
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"radius": 0.32307429627427237,
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"position": [
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],
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"velocity": [
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0.0,
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| 496 |
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0.0
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],
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| 498 |
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"spin": -1.1524031625876892,
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| 499 |
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"is_probe": false
|
| 500 |
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},
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| 501 |
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{
|
| 502 |
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"idx": 3,
|
| 503 |
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"color": "brown",
|
| 504 |
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"shape": "cylinder",
|
| 505 |
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"material": "metal",
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| 506 |
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"size": "large",
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"radius": 0.2842555863433316,
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"position": [
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1.4902853193838397,
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],
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"velocity": [
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],
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"spin": 0.3390099031591214,
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| 517 |
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"is_probe": false
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| 518 |
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}
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| 519 |
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]
|
| 520 |
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},
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| 521 |
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"events": {
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| 522 |
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"collision_events": [
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| 523 |
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{
|
| 524 |
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"frame": 40,
|
| 525 |
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"objects": [
|
| 526 |
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2,
|
| 527 |
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3
|
| 528 |
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],
|
| 529 |
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"description": "the red cube collided with the brown cylinder"
|
| 530 |
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},
|
| 531 |
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{
|
| 532 |
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"frame": 55,
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| 533 |
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"objects": [
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| 534 |
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0,
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| 535 |
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3
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| 536 |
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],
|
| 537 |
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"description": "the purple cylinder collided with the brown cylinder"
|
| 538 |
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}
|
| 539 |
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],
|
| 540 |
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"motion_events": [
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| 541 |
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{
|
| 542 |
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"object": 0,
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"type": "start",
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"frame": 55,
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| 545 |
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"cause_collision": {
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| 546 |
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"frame": 55,
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"objects": [
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0,
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| 549 |
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3
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| 550 |
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]
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| 551 |
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}
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| 552 |
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},
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| 553 |
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{
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| 554 |
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"object": 2,
|
| 555 |
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"type": "start",
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| 556 |
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"frame": 40,
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"cause_collision": {
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| 558 |
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"frame": 40,
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"objects": [
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2,
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| 561 |
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3
|
| 562 |
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]
|
| 563 |
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}
|
| 564 |
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}
|
| 565 |
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],
|
| 566 |
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"initially_moving": [
|
| 567 |
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1,
|
| 568 |
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3
|
| 569 |
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]
|
| 570 |
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},
|
| 571 |
+
"raw_events": {
|
| 572 |
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"collisions": [
|
| 573 |
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{
|
| 574 |
+
"frame": 40,
|
| 575 |
+
"objects": [
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2,
|
| 577 |
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3
|
| 578 |
+
]
|
| 579 |
+
},
|
| 580 |
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{
|
| 581 |
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"frame": 55,
|
| 582 |
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"objects": [
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| 583 |
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0,
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| 584 |
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3
|
| 585 |
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]
|
| 586 |
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}
|
| 587 |
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],
|
| 588 |
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"starts": {
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| 589 |
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"0": [
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| 590 |
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55
|
| 591 |
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],
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"1": [],
|
| 593 |
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"2": [
|
| 594 |
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40
|
| 595 |
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],
|
| 596 |
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"3": []
|
| 597 |
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},
|
| 598 |
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"stops": {
|
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"0": [],
|
| 600 |
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"1": [],
|
| 601 |
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"2": [],
|
| 602 |
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"3": []
|
| 603 |
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},
|
| 604 |
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"initially_moving": [
|
| 605 |
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1,
|
| 606 |
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3
|
| 607 |
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],
|
| 608 |
+
"wall_hits": [
|
| 609 |
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[
|
| 610 |
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19,
|
| 611 |
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1,
|
| 612 |
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1,
|
| 613 |
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1
|
| 614 |
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]
|
| 615 |
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]
|
| 616 |
+
},
|
| 617 |
+
"questions": [
|
| 618 |
+
{
|
| 619 |
+
"question": "After the red cube collided with the brown cylinder, will the red cube collide with something else?",
|
| 620 |
+
"answer": "no",
|
| 621 |
+
"choices": [
|
| 622 |
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"no",
|
| 623 |
+
"yes"
|
| 624 |
+
],
|
| 625 |
+
"answer_index": 0,
|
| 626 |
+
"question_type": "predictive",
|
| 627 |
+
"template": "will_collide_again",
|
| 628 |
+
"program": [
|
| 629 |
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{
|
| 630 |
+
"op": "find_collision",
|
| 631 |
+
"objects": [
|
| 632 |
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2,
|
| 633 |
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3
|
| 634 |
+
]
|
| 635 |
+
},
|
| 636 |
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{
|
| 637 |
+
"op": "query_subsequent_collision"
|
| 638 |
+
}
|
| 639 |
+
]
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"question": "What caused the purple cylinder to start moving?",
|
| 643 |
+
"answer": "the collision with the brown cylinder",
|
| 644 |
+
"choices": [
|
| 645 |
+
"it was pushed by the wall",
|
| 646 |
+
"nothing - it was already moving",
|
| 647 |
+
"the collision with the red cube",
|
| 648 |
+
"the collision with the brown cylinder"
|
| 649 |
+
],
|
| 650 |
+
"answer_index": 3,
|
| 651 |
+
"question_type": "explanatory",
|
| 652 |
+
"template": "cause_of_motion",
|
| 653 |
+
"program": [
|
| 654 |
+
{
|
| 655 |
+
"op": "filter_object",
|
| 656 |
+
"idx": 0
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"op": "query_motion_cause"
|
| 660 |
+
}
|
| 661 |
+
]
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"question": "If the brown cylinder were removed, would the purple cylinder still start moving?",
|
| 665 |
+
"answer": "no",
|
| 666 |
+
"choices": [
|
| 667 |
+
"yes",
|
| 668 |
+
"no"
|
| 669 |
+
],
|
| 670 |
+
"answer_index": 1,
|
| 671 |
+
"question_type": "counterfactual",
|
| 672 |
+
"template": "cf_motion",
|
| 673 |
+
"program": [
|
| 674 |
+
{
|
| 675 |
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"op": "remove_object",
|
| 676 |
+
"idx": 3
|
| 677 |
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},
|
| 678 |
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{
|
| 679 |
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"op": "filter_object",
|
| 680 |
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"idx": 0
|
| 681 |
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},
|
| 682 |
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{
|
| 683 |
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"op": "query_motion_start"
|
| 684 |
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}
|
| 685 |
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]
|
| 686 |
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},
|
| 687 |
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{
|
| 688 |
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"question": "If the gray sphere were removed, would the purple cylinder still collide with the brown cylinder?",
|
| 689 |
+
"answer": "yes",
|
| 690 |
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"choices": [
|
| 691 |
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"no",
|
| 692 |
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"yes"
|
| 693 |
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],
|
| 694 |
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"answer_index": 1,
|
| 695 |
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"question_type": "counterfactual",
|
| 696 |
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"template": "cf_collision",
|
| 697 |
+
"program": [
|
| 698 |
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{
|
| 699 |
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"op": "remove_object",
|
| 700 |
+
"idx": 1
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"op": "find_collision",
|
| 704 |
+
"objects": [
|
| 705 |
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0,
|
| 706 |
+
3
|
| 707 |
+
]
|
| 708 |
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},
|
| 709 |
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{
|
| 710 |
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"op": "query_existence"
|
| 711 |
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}
|
| 712 |
+
]
|
| 713 |
+
},
|
| 714 |
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{
|
| 715 |
+
"question": "How many objects are there?",
|
| 716 |
+
"answer": "4",
|
| 717 |
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"choices": [
|
| 718 |
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"0",
|
| 719 |
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"1",
|
| 720 |
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"2",
|
| 721 |
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"3",
|
| 722 |
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"4",
|
| 723 |
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"5"
|
| 724 |
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],
|
| 725 |
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"answer_index": 4,
|
| 726 |
+
"question_type": "descriptive",
|
| 727 |
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"template": "count_all",
|
| 728 |
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"program": [
|
| 729 |
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{
|
| 730 |
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"op": "count"
|
| 731 |
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}
|
| 732 |
+
]
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
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"question": "How many sphere objects are there?",
|
| 736 |
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"answer": "1",
|
| 737 |
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"choices": [
|
| 738 |
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"0",
|
| 739 |
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"1",
|
| 740 |
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"3",
|
| 741 |
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"4",
|
| 742 |
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"5",
|
| 743 |
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"6"
|
| 744 |
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],
|
| 745 |
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"answer_index": 1,
|
| 746 |
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"question_type": "descriptive",
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| 747 |
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"template": "count_shape",
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| 748 |
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"program": [
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| 749 |
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{
|
| 750 |
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"op": "filter_shape",
|
| 751 |
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"value": "sphere"
|
| 752 |
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},
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| 753 |
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{
|
| 754 |
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"op": "count"
|
| 755 |
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}
|
| 756 |
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]
|
| 757 |
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},
|
| 758 |
+
{
|
| 759 |
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"question": "How many collisions happened in the video?",
|
| 760 |
+
"answer": "2",
|
| 761 |
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"choices": [
|
| 762 |
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"0",
|
| 763 |
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"1",
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| 764 |
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"2",
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| 765 |
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"3",
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| 766 |
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"5",
|
| 767 |
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"6"
|
| 768 |
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],
|
| 769 |
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"answer_index": 2,
|
| 770 |
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"question_type": "explanatory",
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| 771 |
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"template": "count_collisions",
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| 772 |
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"program": [
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| 773 |
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{
|
| 774 |
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"op": "filter_event",
|
| 775 |
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"type": "collision"
|
| 776 |
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},
|
| 777 |
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{
|
| 778 |
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"op": "count"
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| 779 |
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}
|
| 780 |
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]
|
| 781 |
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},
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| 782 |
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{
|
| 783 |
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"question": "What shape is the gray object?",
|
| 784 |
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"answer": "sphere",
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| 785 |
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"choices": [
|
| 786 |
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"cube",
|
| 787 |
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"cylinder",
|
| 788 |
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"sphere"
|
| 789 |
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],
|
| 790 |
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"answer_index": 2,
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| 791 |
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"question_type": "descriptive",
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| 792 |
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"template": "query_shape",
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| 793 |
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"program": [
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| 794 |
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{
|
| 795 |
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"op": "filter_color",
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| 796 |
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"value": "gray"
|
| 797 |
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},
|
| 798 |
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{
|
| 799 |
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"op": "query_shape"
|
| 800 |
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}
|
| 801 |
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]
|
| 802 |
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}
|
| 803 |
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]
|
| 804 |
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},
|
| 805 |
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{
|
| 806 |
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"video_index": 2,
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| 807 |
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"video_filename": "videos/video_00002.gif",
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| 808 |
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"num_frames": 64,
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| 809 |
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| 810 |
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"fps": 25,
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| 811 |
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| 812 |
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| 813 |
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{
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| 814 |
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"idx": 0,
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| 815 |
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"color": "blue",
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| 816 |
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"shape": "cylinder",
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| 817 |
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"material": "rubber",
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| 818 |
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"size": "large",
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| 819 |
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"radius": 0.33739487619949415,
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| 820 |
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| 821 |
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| 823 |
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],
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| 825 |
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],
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| 830 |
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},
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| 831 |
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{
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| 832 |
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"idx": 1,
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| 833 |
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"color": "yellow",
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| 834 |
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"shape": "cube",
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| 835 |
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"material": "metal",
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| 836 |
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"size": "large",
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| 837 |
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| 841 |
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],
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| 848 |
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},
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| 849 |
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{
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| 850 |
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"idx": 2,
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| 851 |
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| 852 |
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"shape": "sphere",
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| 853 |
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"material": "rubber",
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| 854 |
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"size": "large",
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| 855 |
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| 867 |
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{
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"idx": 3,
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| 869 |
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"color": "purple",
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| 870 |
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"shape": "cube",
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"material": "rubber",
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"size": "small",
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],
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0.0,
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0.0
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| 881 |
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],
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"spin": 1.005549614076839,
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| 883 |
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| 884 |
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},
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| 885 |
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{
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| 886 |
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"idx": 4,
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| 887 |
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"color": "red",
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| 888 |
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"shape": "cube",
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| 889 |
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"material": "metal",
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| 890 |
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"size": "small",
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| 891 |
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"radius": 0.160757639934304,
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"position": [
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0.44775243453710445,
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],
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"velocity": [
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0.0,
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0.0
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| 899 |
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],
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| 900 |
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"spin": -0.3447145965575502,
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| 901 |
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},
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| 903 |
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{
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| 904 |
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"idx": 5,
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| 905 |
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"color": "green",
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| 906 |
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"shape": "sphere",
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| 907 |
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"material": "rubber",
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| 908 |
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"size": "large",
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| 909 |
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"radius": 0.3008852778855662,
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"position": [
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1.1225657532136475,
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-0.19162288490671253
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],
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"velocity": [
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| 915 |
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0.0,
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| 916 |
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0.0
|
| 917 |
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],
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| 918 |
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"spin": 1.421036309115669,
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| 919 |
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"is_probe": false
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| 920 |
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}
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| 921 |
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]
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| 922 |
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},
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| 923 |
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"events": {
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| 924 |
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"collision_events": [
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| 925 |
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{
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"frame": 10,
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"objects": [
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0,
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5
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| 930 |
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],
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| 931 |
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"description": "the blue cylinder collided with the green sphere"
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| 932 |
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},
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| 933 |
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{
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| 934 |
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"frame": 48,
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| 935 |
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"objects": [
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| 936 |
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0,
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| 937 |
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4
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| 938 |
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],
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| 939 |
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"description": "the blue cylinder collided with the red cube"
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| 940 |
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},
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| 941 |
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{
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| 942 |
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"frame": 57,
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| 943 |
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"objects": [
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| 944 |
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0,
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| 945 |
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1
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| 946 |
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],
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| 947 |
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"description": "the blue cylinder collided with the yellow cube"
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| 948 |
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},
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| 949 |
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{
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| 950 |
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"frame": 61,
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| 951 |
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"objects": [
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| 952 |
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0,
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| 953 |
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4
|
| 954 |
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],
|
| 955 |
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"description": "the blue cylinder collided with the red cube"
|
| 956 |
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}
|
| 957 |
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],
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| 958 |
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"motion_events": [
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| 959 |
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{
|
| 960 |
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"object": 4,
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| 961 |
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"type": "start",
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| 962 |
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"frame": 48,
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| 963 |
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"cause_collision": {
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"frame": 48,
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| 965 |
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"objects": [
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| 966 |
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0,
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| 967 |
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4
|
| 968 |
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]
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| 969 |
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}
|
| 970 |
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},
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| 971 |
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{
|
| 972 |
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"object": 5,
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| 973 |
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"type": "start",
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| 974 |
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"frame": 10,
|
| 975 |
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"cause_collision": {
|
| 976 |
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"frame": 10,
|
| 977 |
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"objects": [
|
| 978 |
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0,
|
| 979 |
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5
|
| 980 |
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]
|
| 981 |
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}
|
| 982 |
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}
|
| 983 |
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],
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| 984 |
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"initially_moving": [
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| 985 |
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0,
|
| 986 |
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1,
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| 987 |
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2
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| 988 |
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]
|
| 989 |
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},
|
| 990 |
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"raw_events": {
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| 991 |
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"collisions": [
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| 992 |
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{
|
| 993 |
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"frame": 10,
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"objects": [
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| 995 |
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0,
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| 996 |
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5
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| 997 |
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]
|
| 998 |
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},
|
| 999 |
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{
|
| 1000 |
+
"frame": 48,
|
| 1001 |
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"objects": [
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| 1002 |
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0,
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| 1003 |
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4
|
| 1004 |
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]
|
| 1005 |
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},
|
| 1006 |
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{
|
| 1007 |
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"frame": 57,
|
| 1008 |
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| 1009 |
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0,
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| 1010 |
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1
|
| 1011 |
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]
|
| 1012 |
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},
|
| 1013 |
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{
|
| 1014 |
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"frame": 61,
|
| 1015 |
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"objects": [
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| 1016 |
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0,
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| 1017 |
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4
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| 1018 |
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]
|
| 1019 |
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}
|
| 1020 |
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],
|
| 1021 |
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"starts": {
|
| 1022 |
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"0": [],
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| 1023 |
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"1": [],
|
| 1024 |
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"2": [],
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| 1025 |
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"3": [],
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"4": [
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| 1027 |
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48
|
| 1028 |
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],
|
| 1029 |
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"5": [
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| 1030 |
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10
|
| 1031 |
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]
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| 1032 |
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},
|
| 1033 |
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"stops": {
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| 1034 |
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"0": [],
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| 1035 |
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"1": [],
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| 1036 |
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"2": [],
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"3": [],
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"4": [],
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"5": []
|
| 1040 |
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},
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| 1042 |
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0,
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| 1043 |
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1,
|
| 1044 |
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2
|
| 1045 |
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],
|
| 1046 |
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"wall_hits": [
|
| 1047 |
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[
|
| 1048 |
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12,
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| 1049 |
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1,
|
| 1050 |
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1,
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| 1051 |
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1
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| 1052 |
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],
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| 1053 |
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[
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| 1054 |
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53,
|
| 1055 |
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5,
|
| 1056 |
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1,
|
| 1057 |
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-1
|
| 1058 |
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],
|
| 1059 |
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[
|
| 1060 |
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58,
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| 1061 |
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2,
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| 1062 |
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1,
|
| 1063 |
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-1
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| 1064 |
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]
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| 1065 |
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]
|
| 1066 |
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},
|
| 1067 |
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"questions": [
|
| 1068 |
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{
|
| 1069 |
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"question": "What happened right after the blue cylinder collided with the red cube?",
|
| 1070 |
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"answer": "nothing happened",
|
| 1071 |
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"choices": [
|
| 1072 |
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"the yellow cube collided with the wall",
|
| 1073 |
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"nothing happened",
|
| 1074 |
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"the cyan sphere collided with the wall",
|
| 1075 |
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"the blue cylinder collided with the green sphere"
|
| 1076 |
+
],
|
| 1077 |
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"answer_index": 1,
|
| 1078 |
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"question_type": "explanatory",
|
| 1079 |
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"template": "what_happened_after",
|
| 1080 |
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"program": [
|
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{
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| 1082 |
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"op": "find_collision",
|
| 1083 |
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"objects": [
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0,
|
| 1085 |
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4
|
| 1086 |
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]
|
| 1087 |
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},
|
| 1088 |
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{
|
| 1089 |
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"op": "query_after_event"
|
| 1090 |
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}
|
| 1091 |
+
]
|
| 1092 |
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},
|
| 1093 |
+
{
|
| 1094 |
+
"question": "If the green sphere were removed, would the blue cylinder still collide with the red cube?",
|
| 1095 |
+
"answer": "yes",
|
| 1096 |
+
"choices": [
|
| 1097 |
+
"yes",
|
| 1098 |
+
"no"
|
| 1099 |
+
],
|
| 1100 |
+
"answer_index": 0,
|
| 1101 |
+
"question_type": "counterfactual",
|
| 1102 |
+
"template": "cf_collision",
|
| 1103 |
+
"program": [
|
| 1104 |
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{
|
| 1105 |
+
"op": "remove_object",
|
| 1106 |
+
"idx": 5
|
| 1107 |
+
},
|
| 1108 |
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{
|
| 1109 |
+
"op": "find_collision",
|
| 1110 |
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"objects": [
|
| 1111 |
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0,
|
| 1112 |
+
4
|
| 1113 |
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]
|
| 1114 |
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},
|
| 1115 |
+
{
|
| 1116 |
+
"op": "query_existence"
|
| 1117 |
+
}
|
| 1118 |
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]
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"question": "If the red cube were removed, would the blue cylinder still collide with the yellow cube?",
|
| 1122 |
+
"answer": "yes",
|
| 1123 |
+
"choices": [
|
| 1124 |
+
"yes",
|
| 1125 |
+
"no"
|
| 1126 |
+
],
|
| 1127 |
+
"answer_index": 0,
|
| 1128 |
+
"question_type": "counterfactual",
|
| 1129 |
+
"template": "cf_collision",
|
| 1130 |
+
"program": [
|
| 1131 |
+
{
|
| 1132 |
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"op": "remove_object",
|
| 1133 |
+
"idx": 4
|
| 1134 |
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},
|
| 1135 |
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{
|
| 1136 |
+
"op": "find_collision",
|
| 1137 |
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"objects": [
|
| 1138 |
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0,
|
| 1139 |
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1
|
| 1140 |
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]
|
| 1141 |
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},
|
| 1142 |
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{
|
| 1143 |
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"op": "query_existence"
|
| 1144 |
+
}
|
| 1145 |
+
]
|
| 1146 |
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},
|
| 1147 |
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{
|
| 1148 |
+
"question": "What material is the yellow cube made of?",
|
| 1149 |
+
"answer": "metal",
|
| 1150 |
+
"choices": [
|
| 1151 |
+
"rubber",
|
| 1152 |
+
"metal"
|
| 1153 |
+
],
|
| 1154 |
+
"answer_index": 1,
|
| 1155 |
+
"question_type": "descriptive",
|
| 1156 |
+
"template": "query_material",
|
| 1157 |
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"program": [
|
| 1158 |
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{
|
| 1159 |
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"op": "filter_color",
|
| 1160 |
+
"value": "yellow"
|
| 1161 |
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},
|
| 1162 |
+
{
|
| 1163 |
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"op": "filter_shape",
|
| 1164 |
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"value": "cube"
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
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"op": "query_material"
|
| 1168 |
+
}
|
| 1169 |
+
]
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"question": "How many purple objects are there?",
|
| 1173 |
+
"answer": "1",
|
| 1174 |
+
"choices": [
|
| 1175 |
+
"0",
|
| 1176 |
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"1",
|
| 1177 |
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"2",
|
| 1178 |
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"3",
|
| 1179 |
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"4",
|
| 1180 |
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"6"
|
| 1181 |
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],
|
| 1182 |
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"answer_index": 1,
|
| 1183 |
+
"question_type": "descriptive",
|
| 1184 |
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"template": "count_color",
|
| 1185 |
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"program": [
|
| 1186 |
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{
|
| 1187 |
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"op": "filter_color",
|
| 1188 |
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"value": "purple"
|
| 1189 |
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},
|
| 1190 |
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{
|
| 1191 |
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"op": "count"
|
| 1192 |
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}
|
| 1193 |
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]
|
| 1194 |
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},
|
| 1195 |
+
{
|
| 1196 |
+
"question": "After the blue cylinder collided with the red cube, will the blue cylinder collide with something else?",
|
| 1197 |
+
"answer": "yes",
|
| 1198 |
+
"choices": [
|
| 1199 |
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"yes",
|
| 1200 |
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"no"
|
| 1201 |
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],
|
| 1202 |
+
"answer_index": 0,
|
| 1203 |
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"question_type": "predictive",
|
| 1204 |
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"template": "will_collide_again",
|
| 1205 |
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"program": [
|
| 1206 |
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{
|
| 1207 |
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"op": "find_collision",
|
| 1208 |
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"objects": [
|
| 1209 |
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0,
|
| 1210 |
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4
|
| 1211 |
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]
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"op": "query_subsequent_collision"
|
| 1215 |
+
}
|
| 1216 |
+
]
|
| 1217 |
+
},
|
| 1218 |
+
{
|
| 1219 |
+
"question": "How many objects were moving when the blue cylinder collided with the red cube?",
|
| 1220 |
+
"answer": "5",
|
| 1221 |
+
"choices": [
|
| 1222 |
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"0",
|
| 1223 |
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"1",
|
| 1224 |
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"3",
|
| 1225 |
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"4",
|
| 1226 |
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"5",
|
| 1227 |
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"6"
|
| 1228 |
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],
|
| 1229 |
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"answer_index": 4,
|
| 1230 |
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"question_type": "explanatory",
|
| 1231 |
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"template": "count_moving_at",
|
| 1232 |
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"program": [
|
| 1233 |
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{
|
| 1234 |
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"op": "find_collision",
|
| 1235 |
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"objects": [
|
| 1236 |
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0,
|
| 1237 |
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4
|
| 1238 |
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]
|
| 1239 |
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},
|
| 1240 |
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{
|
| 1241 |
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"op": "count_moving_at_collision"
|
| 1242 |
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}
|
| 1243 |
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]
|
| 1244 |
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},
|
| 1245 |
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{
|
| 1246 |
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"question": "What shape is the purple object?",
|
| 1247 |
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"answer": "cube",
|
| 1248 |
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"choices": [
|
| 1249 |
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"cylinder",
|
| 1250 |
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"sphere",
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| 1251 |
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"cube"
|
| 1252 |
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],
|
| 1253 |
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"answer_index": 2,
|
| 1254 |
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"question_type": "descriptive",
|
| 1255 |
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"template": "query_shape",
|
| 1256 |
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"program": [
|
| 1257 |
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{
|
| 1258 |
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"op": "filter_color",
|
| 1259 |
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"value": "purple"
|
| 1260 |
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},
|
| 1261 |
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{
|
| 1262 |
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"op": "query_shape"
|
| 1263 |
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}
|
| 1264 |
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]
|
| 1265 |
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}
|
| 1266 |
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]
|
| 1267 |
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},
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| 1268 |
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{
|
| 1269 |
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"video_index": 3,
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| 1270 |
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"video_filename": "videos/video_00003.gif",
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| 1271 |
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"num_frames": 64,
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| 1272 |
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"frame_size": 128,
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| 1273 |
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"fps": 25,
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| 1274 |
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"scene": {
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| 1275 |
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"objects": [
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| 1276 |
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{
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| 1277 |
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"idx": 0,
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| 1278 |
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"color": "yellow",
|
| 1279 |
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"shape": "cube",
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| 1280 |
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"material": "metal",
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| 1281 |
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"size": "large",
|
| 1282 |
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"radius": 0.3190270229833728,
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| 1283 |
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"position": [
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-1.545380741122608,
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],
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"velocity": [
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| 1290 |
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],
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|
| 1293 |
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},
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| 1294 |
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{
|
| 1295 |
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"idx": 1,
|
| 1296 |
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"color": "gray",
|
| 1297 |
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"shape": "sphere",
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| 1298 |
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"material": "metal",
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| 1299 |
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"size": "large",
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| 1300 |
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"radius": 0.3365013803868879,
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| 1301 |
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"position": [
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],
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0.0,
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0.0
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],
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"spin": 0.960227250511605,
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| 1310 |
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| 1311 |
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},
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| 1312 |
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{
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| 1313 |
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"idx": 2,
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| 1314 |
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"color": "blue",
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| 1315 |
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"shape": "sphere",
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| 1316 |
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"material": "rubber",
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| 1317 |
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"size": "small",
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1.2143043183799873,
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],
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0.0,
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0.0
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],
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},
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| 1330 |
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{
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"idx": 3,
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"color": "red",
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| 1333 |
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"size": "small",
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0.847158729911331
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0.0,
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0.0
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],
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"spin": 0.7761163834647569,
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| 1347 |
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},
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| 1348 |
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{
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| 1349 |
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"idx": 4,
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| 1350 |
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"color": "brown",
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| 1351 |
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"shape": "cube",
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| 1352 |
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"material": "rubber",
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| 1353 |
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"size": "large",
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"radius": 0.31569727973361245,
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0.49755020902647407,
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],
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"velocity": [
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0.0,
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0.0
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],
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"spin": 1.1354405539987615,
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},
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| 1366 |
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{
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"idx": 5,
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| 1368 |
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"color": "cyan",
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| 1369 |
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"shape": "cube",
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| 1370 |
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"material": "rubber",
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"size": "large",
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"radius": 0.283417659920999,
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"position": [
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],
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"velocity": [
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1.2403780112124232,
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],
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}
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]
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},
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| 1386 |
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"events": {
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"collision_events": [
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{
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"frame": 7,
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"objects": [
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| 1391 |
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3,
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| 1392 |
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5
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| 1393 |
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],
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| 1394 |
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"description": "the red sphere collided with the cyan cube"
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| 1395 |
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},
|
| 1396 |
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{
|
| 1397 |
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"frame": 11,
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| 1398 |
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"objects": [
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| 1399 |
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3,
|
| 1400 |
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4
|
| 1401 |
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],
|
| 1402 |
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"description": "the red sphere collided with the brown cube"
|
| 1403 |
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},
|
| 1404 |
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{
|
| 1405 |
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"frame": 31,
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| 1406 |
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"objects": [
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| 1407 |
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0,
|
| 1408 |
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1
|
| 1409 |
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],
|
| 1410 |
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"description": "the yellow cube collided with the gray sphere"
|
| 1411 |
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}
|
| 1412 |
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],
|
| 1413 |
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"motion_events": [
|
| 1414 |
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{
|
| 1415 |
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"object": 1,
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| 1416 |
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"type": "start",
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| 1417 |
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"frame": 31,
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| 1418 |
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"cause_collision": {
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"frame": 31,
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| 1420 |
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"objects": [
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| 1421 |
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0,
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| 1422 |
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1
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| 1423 |
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]
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| 1424 |
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}
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| 1425 |
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},
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| 1426 |
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{
|
| 1427 |
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"object": 3,
|
| 1428 |
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"type": "start",
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| 1429 |
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"frame": 7,
|
| 1430 |
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"cause_collision": {
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| 1431 |
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"frame": 7,
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| 1432 |
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"objects": [
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| 1433 |
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3,
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| 1434 |
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5
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| 1435 |
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]
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| 1436 |
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}
|
| 1437 |
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},
|
| 1438 |
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{
|
| 1439 |
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"object": 4,
|
| 1440 |
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"type": "start",
|
| 1441 |
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"frame": 11,
|
| 1442 |
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"cause_collision": {
|
| 1443 |
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"frame": 11,
|
| 1444 |
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"objects": [
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| 1445 |
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3,
|
| 1446 |
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4
|
| 1447 |
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]
|
| 1448 |
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}
|
| 1449 |
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}
|
| 1450 |
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],
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| 1451 |
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"initially_moving": [
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| 1452 |
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0,
|
| 1453 |
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5
|
| 1454 |
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]
|
| 1455 |
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},
|
| 1456 |
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"raw_events": {
|
| 1457 |
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"collisions": [
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| 1458 |
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{
|
| 1459 |
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"frame": 7,
|
| 1460 |
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"objects": [
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| 1461 |
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3,
|
| 1462 |
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5
|
| 1463 |
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]
|
| 1464 |
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},
|
| 1465 |
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{
|
| 1466 |
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"frame": 11,
|
| 1467 |
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"objects": [
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| 1468 |
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3,
|
| 1469 |
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4
|
| 1470 |
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]
|
| 1471 |
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},
|
| 1472 |
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{
|
| 1473 |
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"frame": 31,
|
| 1474 |
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"objects": [
|
| 1475 |
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0,
|
| 1476 |
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1
|
| 1477 |
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]
|
| 1478 |
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}
|
| 1479 |
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],
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| 1480 |
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"starts": {
|
| 1481 |
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"0": [],
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| 1482 |
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"1": [
|
| 1483 |
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31
|
| 1484 |
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],
|
| 1485 |
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"2": [],
|
| 1486 |
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"3": [
|
| 1487 |
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7
|
| 1488 |
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],
|
| 1489 |
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"4": [
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| 1490 |
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11
|
| 1491 |
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],
|
| 1492 |
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"5": []
|
| 1493 |
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},
|
| 1494 |
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"stops": {
|
| 1495 |
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"0": [],
|
| 1496 |
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"1": [],
|
| 1497 |
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"2": [],
|
| 1498 |
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"3": [],
|
| 1499 |
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"4": [],
|
| 1500 |
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"5": []
|
| 1501 |
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},
|
| 1502 |
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"initially_moving": [
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| 1503 |
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0,
|
| 1504 |
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5
|
| 1505 |
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],
|
| 1506 |
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"wall_hits": [
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| 1507 |
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[
|
| 1508 |
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26,
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| 1509 |
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4,
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| 1510 |
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1,
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| 1511 |
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1
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],
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| 1513 |
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[
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| 1514 |
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51,
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| 1515 |
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5,
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| 1516 |
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1,
|
| 1517 |
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1
|
| 1518 |
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],
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| 1519 |
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[
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| 1520 |
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59,
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| 1521 |
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1,
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| 1522 |
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1,
|
| 1523 |
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-1
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| 1524 |
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]
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| 1525 |
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]
|
| 1526 |
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},
|
| 1527 |
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"questions": [
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| 1528 |
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{
|
| 1529 |
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"question": "If the cyan cube were removed, would the red sphere still start moving?",
|
| 1530 |
+
"answer": "no",
|
| 1531 |
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"choices": [
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| 1532 |
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"yes",
|
| 1533 |
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"no"
|
| 1534 |
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],
|
| 1535 |
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"answer_index": 1,
|
| 1536 |
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"question_type": "counterfactual",
|
| 1537 |
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"template": "cf_motion",
|
| 1538 |
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"program": [
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| 1539 |
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{
|
| 1540 |
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"op": "remove_object",
|
| 1541 |
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"idx": 5
|
| 1542 |
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},
|
| 1543 |
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{
|
| 1544 |
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"op": "filter_object",
|
| 1545 |
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"idx": 3
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"op": "query_motion_start"
|
| 1549 |
+
}
|
| 1550 |
+
]
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"question": "If the blue sphere were removed, would the red sphere still collide with the cyan cube?",
|
| 1554 |
+
"answer": "yes",
|
| 1555 |
+
"choices": [
|
| 1556 |
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"yes",
|
| 1557 |
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"no"
|
| 1558 |
+
],
|
| 1559 |
+
"answer_index": 0,
|
| 1560 |
+
"question_type": "counterfactual",
|
| 1561 |
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"template": "cf_collision",
|
| 1562 |
+
"program": [
|
| 1563 |
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{
|
| 1564 |
+
"op": "remove_object",
|
| 1565 |
+
"idx": 2
|
| 1566 |
+
},
|
| 1567 |
+
{
|
| 1568 |
+
"op": "find_collision",
|
| 1569 |
+
"objects": [
|
| 1570 |
+
3,
|
| 1571 |
+
5
|
| 1572 |
+
]
|
| 1573 |
+
},
|
| 1574 |
+
{
|
| 1575 |
+
"op": "query_existence"
|
| 1576 |
+
}
|
| 1577 |
+
]
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"question": "How many red objects are there?",
|
| 1581 |
+
"answer": "1",
|
| 1582 |
+
"choices": [
|
| 1583 |
+
"1",
|
| 1584 |
+
"2",
|
| 1585 |
+
"3",
|
| 1586 |
+
"4",
|
| 1587 |
+
"5",
|
| 1588 |
+
"6"
|
| 1589 |
+
],
|
| 1590 |
+
"answer_index": 0,
|
| 1591 |
+
"question_type": "descriptive",
|
| 1592 |
+
"template": "count_color",
|
| 1593 |
+
"program": [
|
| 1594 |
+
{
|
| 1595 |
+
"op": "filter_color",
|
| 1596 |
+
"value": "red"
|
| 1597 |
+
},
|
| 1598 |
+
{
|
| 1599 |
+
"op": "count"
|
| 1600 |
+
}
|
| 1601 |
+
]
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"question": "What happened right after the red sphere collided with the cyan cube?",
|
| 1605 |
+
"answer": "the red sphere collided with the brown cube",
|
| 1606 |
+
"choices": [
|
| 1607 |
+
"the red sphere collided with the brown cube",
|
| 1608 |
+
"the yellow cube collided with the gray sphere",
|
| 1609 |
+
"nothing happened",
|
| 1610 |
+
"the cyan cube collided with the wall"
|
| 1611 |
+
],
|
| 1612 |
+
"answer_index": 0,
|
| 1613 |
+
"question_type": "explanatory",
|
| 1614 |
+
"template": "what_happened_after",
|
| 1615 |
+
"program": [
|
| 1616 |
+
{
|
| 1617 |
+
"op": "find_collision",
|
| 1618 |
+
"objects": [
|
| 1619 |
+
3,
|
| 1620 |
+
5
|
| 1621 |
+
]
|
| 1622 |
+
},
|
| 1623 |
+
{
|
| 1624 |
+
"op": "query_after_event"
|
| 1625 |
+
}
|
| 1626 |
+
]
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"question": "Will the red sphere collide with the cyan cube by the end of the video?",
|
| 1630 |
+
"answer": "yes",
|
| 1631 |
+
"choices": [
|
| 1632 |
+
"no",
|
| 1633 |
+
"yes"
|
| 1634 |
+
],
|
| 1635 |
+
"answer_index": 1,
|
| 1636 |
+
"question_type": "predictive",
|
| 1637 |
+
"template": "will_collide",
|
| 1638 |
+
"program": [
|
| 1639 |
+
{
|
| 1640 |
+
"op": "find_collision",
|
| 1641 |
+
"objects": [
|
| 1642 |
+
3,
|
| 1643 |
+
5
|
| 1644 |
+
]
|
| 1645 |
+
},
|
| 1646 |
+
{
|
| 1647 |
+
"op": "query_existence"
|
| 1648 |
+
}
|
| 1649 |
+
]
|
| 1650 |
+
},
|
| 1651 |
+
{
|
| 1652 |
+
"question": "What happened right after the red sphere collided with the brown cube?",
|
| 1653 |
+
"answer": "the yellow cube collided with the gray sphere",
|
| 1654 |
+
"choices": [
|
| 1655 |
+
"nothing happened",
|
| 1656 |
+
"the gray sphere started moving",
|
| 1657 |
+
"the brown cube started moving",
|
| 1658 |
+
"the yellow cube collided with the gray sphere"
|
| 1659 |
+
],
|
| 1660 |
+
"answer_index": 3,
|
| 1661 |
+
"question_type": "explanatory",
|
| 1662 |
+
"template": "what_happened_after",
|
| 1663 |
+
"program": [
|
| 1664 |
+
{
|
| 1665 |
+
"op": "find_collision",
|
| 1666 |
+
"objects": [
|
| 1667 |
+
3,
|
| 1668 |
+
4
|
| 1669 |
+
]
|
| 1670 |
+
},
|
| 1671 |
+
{
|
| 1672 |
+
"op": "query_after_event"
|
| 1673 |
+
}
|
| 1674 |
+
]
|
| 1675 |
+
},
|
| 1676 |
+
{
|
| 1677 |
+
"question": "What material is the brown cube made of?",
|
| 1678 |
+
"answer": "rubber",
|
| 1679 |
+
"choices": [
|
| 1680 |
+
"metal",
|
| 1681 |
+
"rubber"
|
| 1682 |
+
],
|
| 1683 |
+
"answer_index": 1,
|
| 1684 |
+
"question_type": "descriptive",
|
| 1685 |
+
"template": "query_material",
|
| 1686 |
+
"program": [
|
| 1687 |
+
{
|
| 1688 |
+
"op": "filter_color",
|
| 1689 |
+
"value": "brown"
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"op": "filter_shape",
|
| 1693 |
+
"value": "cube"
|
| 1694 |
+
},
|
| 1695 |
+
{
|
| 1696 |
+
"op": "query_material"
|
| 1697 |
+
}
|
| 1698 |
+
]
|
| 1699 |
+
},
|
| 1700 |
+
{
|
| 1701 |
+
"question": "What color is the object in front of the blue sphere?",
|
| 1702 |
+
"answer": "gray",
|
| 1703 |
+
"choices": [
|
| 1704 |
+
"blue",
|
| 1705 |
+
"yellow",
|
| 1706 |
+
"gray",
|
| 1707 |
+
"brown",
|
| 1708 |
+
"cyan",
|
| 1709 |
+
"red",
|
| 1710 |
+
"purple",
|
| 1711 |
+
"green"
|
| 1712 |
+
],
|
| 1713 |
+
"answer_index": 2,
|
| 1714 |
+
"question_type": "descriptive",
|
| 1715 |
+
"template": "query_color_rel",
|
| 1716 |
+
"program": [
|
| 1717 |
+
{
|
| 1718 |
+
"op": "filter_color",
|
| 1719 |
+
"value": "blue"
|
| 1720 |
+
},
|
| 1721 |
+
{
|
| 1722 |
+
"op": "relate",
|
| 1723 |
+
"direction": "in_front_of"
|
| 1724 |
+
},
|
| 1725 |
+
{
|
| 1726 |
+
"op": "query_color"
|
| 1727 |
+
}
|
| 1728 |
+
]
|
| 1729 |
+
}
|
| 1730 |
+
]
|
| 1731 |
+
},
|
| 1732 |
+
{
|
| 1733 |
+
"video_index": 4,
|
| 1734 |
+
"video_filename": "videos/video_00004.gif",
|
| 1735 |
+
"num_frames": 64,
|
| 1736 |
+
"frame_size": 128,
|
| 1737 |
+
"fps": 25,
|
| 1738 |
+
"scene": {
|
| 1739 |
+
"objects": [
|
| 1740 |
+
{
|
| 1741 |
+
"idx": 0,
|
| 1742 |
+
"color": "red",
|
| 1743 |
+
"shape": "sphere",
|
| 1744 |
+
"material": "metal",
|
| 1745 |
+
"size": "small",
|
| 1746 |
+
"radius": 0.1658297766637648,
|
| 1747 |
+
"position": [
|
| 1748 |
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1.3299818020728005,
|
| 1749 |
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-0.9991529841378586
|
| 1750 |
+
],
|
| 1751 |
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"velocity": [
|
| 1752 |
+
0.0,
|
| 1753 |
+
0.0
|
| 1754 |
+
],
|
| 1755 |
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"spin": -0.07188326857379423,
|
| 1756 |
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"is_probe": false
|
| 1757 |
+
},
|
| 1758 |
+
{
|
| 1759 |
+
"idx": 1,
|
| 1760 |
+
"color": "cyan",
|
| 1761 |
+
"shape": "sphere",
|
| 1762 |
+
"material": "metal",
|
| 1763 |
+
"size": "large",
|
| 1764 |
+
"radius": 0.3231157374035464,
|
| 1765 |
+
"position": [
|
| 1766 |
+
0.3374400122180976,
|
| 1767 |
+
0.635080711250702
|
| 1768 |
+
],
|
| 1769 |
+
"velocity": [
|
| 1770 |
+
0.0,
|
| 1771 |
+
0.0
|
| 1772 |
+
],
|
| 1773 |
+
"spin": -0.8490599207340147,
|
| 1774 |
+
"is_probe": false
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"idx": 2,
|
| 1778 |
+
"color": "blue",
|
| 1779 |
+
"shape": "cube",
|
| 1780 |
+
"material": "rubber",
|
| 1781 |
+
"size": "small",
|
| 1782 |
+
"radius": 0.1990491799958673,
|
| 1783 |
+
"position": [
|
| 1784 |
+
1.3726914053004184,
|
| 1785 |
+
0.5135379925938357
|
| 1786 |
+
],
|
| 1787 |
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"velocity": [
|
| 1788 |
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-0.519380992006974,
|
| 1789 |
+
-1.3758624215162312
|
| 1790 |
+
],
|
| 1791 |
+
"spin": -0.9276344842243871,
|
| 1792 |
+
"is_probe": false
|
| 1793 |
+
},
|
| 1794 |
+
{
|
| 1795 |
+
"idx": 3,
|
| 1796 |
+
"color": "gray",
|
| 1797 |
+
"shape": "sphere",
|
| 1798 |
+
"material": "metal",
|
| 1799 |
+
"size": "large",
|
| 1800 |
+
"radius": 0.28957806341219433,
|
| 1801 |
+
"position": [
|
| 1802 |
+
-1.1364731580997514,
|
| 1803 |
+
-0.006610443765339147
|
| 1804 |
+
],
|
| 1805 |
+
"velocity": [
|
| 1806 |
+
-1.0283166962197308,
|
| 1807 |
+
0.26460535465147544
|
| 1808 |
+
],
|
| 1809 |
+
"spin": -0.9878105416611754,
|
| 1810 |
+
"is_probe": false
|
| 1811 |
+
},
|
| 1812 |
+
{
|
| 1813 |
+
"idx": 4,
|
| 1814 |
+
"color": "yellow",
|
| 1815 |
+
"shape": "sphere",
|
| 1816 |
+
"material": "metal",
|
| 1817 |
+
"size": "small",
|
| 1818 |
+
"radius": 0.1981359721589741,
|
| 1819 |
+
"position": [
|
| 1820 |
+
0.254248982005842,
|
| 1821 |
+
-0.7197164900960757
|
| 1822 |
+
],
|
| 1823 |
+
"velocity": [
|
| 1824 |
+
0.2976426213341292,
|
| 1825 |
+
1.6356465885638267
|
| 1826 |
+
],
|
| 1827 |
+
"spin": 1.152669154895344,
|
| 1828 |
+
"is_probe": false
|
| 1829 |
+
}
|
| 1830 |
+
]
|
| 1831 |
+
},
|
| 1832 |
+
"events": {
|
| 1833 |
+
"collision_events": [
|
| 1834 |
+
{
|
| 1835 |
+
"frame": 13,
|
| 1836 |
+
"objects": [
|
| 1837 |
+
1,
|
| 1838 |
+
4
|
| 1839 |
+
],
|
| 1840 |
+
"description": "the cyan sphere collided with the yellow sphere"
|
| 1841 |
+
},
|
| 1842 |
+
{
|
| 1843 |
+
"frame": 50,
|
| 1844 |
+
"objects": [
|
| 1845 |
+
0,
|
| 1846 |
+
4
|
| 1847 |
+
],
|
| 1848 |
+
"description": "the red sphere collided with the yellow sphere"
|
| 1849 |
+
}
|
| 1850 |
+
],
|
| 1851 |
+
"motion_events": [
|
| 1852 |
+
{
|
| 1853 |
+
"object": 0,
|
| 1854 |
+
"type": "start",
|
| 1855 |
+
"frame": 50,
|
| 1856 |
+
"cause_collision": {
|
| 1857 |
+
"frame": 50,
|
| 1858 |
+
"objects": [
|
| 1859 |
+
0,
|
| 1860 |
+
4
|
| 1861 |
+
]
|
| 1862 |
+
}
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"object": 1,
|
| 1866 |
+
"type": "start",
|
| 1867 |
+
"frame": 13,
|
| 1868 |
+
"cause_collision": {
|
| 1869 |
+
"frame": 13,
|
| 1870 |
+
"objects": [
|
| 1871 |
+
1,
|
| 1872 |
+
4
|
| 1873 |
+
]
|
| 1874 |
+
}
|
| 1875 |
+
}
|
| 1876 |
+
],
|
| 1877 |
+
"initially_moving": [
|
| 1878 |
+
2,
|
| 1879 |
+
3,
|
| 1880 |
+
4
|
| 1881 |
+
]
|
| 1882 |
+
},
|
| 1883 |
+
"raw_events": {
|
| 1884 |
+
"collisions": [
|
| 1885 |
+
{
|
| 1886 |
+
"frame": 13,
|
| 1887 |
+
"objects": [
|
| 1888 |
+
1,
|
| 1889 |
+
4
|
| 1890 |
+
]
|
| 1891 |
+
},
|
| 1892 |
+
{
|
| 1893 |
+
"frame": 50,
|
| 1894 |
+
"objects": [
|
| 1895 |
+
0,
|
| 1896 |
+
4
|
| 1897 |
+
]
|
| 1898 |
+
}
|
| 1899 |
+
],
|
| 1900 |
+
"starts": {
|
| 1901 |
+
"0": [
|
| 1902 |
+
50
|
| 1903 |
+
],
|
| 1904 |
+
"1": [
|
| 1905 |
+
13
|
| 1906 |
+
],
|
| 1907 |
+
"2": [],
|
| 1908 |
+
"3": [],
|
| 1909 |
+
"4": []
|
| 1910 |
+
},
|
| 1911 |
+
"stops": {
|
| 1912 |
+
"0": [],
|
| 1913 |
+
"1": [],
|
| 1914 |
+
"2": [],
|
| 1915 |
+
"3": [],
|
| 1916 |
+
"4": []
|
| 1917 |
+
},
|
| 1918 |
+
"initially_moving": [
|
| 1919 |
+
2,
|
| 1920 |
+
3,
|
| 1921 |
+
4
|
| 1922 |
+
],
|
| 1923 |
+
"wall_hits": [
|
| 1924 |
+
[
|
| 1925 |
+
14,
|
| 1926 |
+
3,
|
| 1927 |
+
0,
|
| 1928 |
+
-1
|
| 1929 |
+
],
|
| 1930 |
+
[
|
| 1931 |
+
46,
|
| 1932 |
+
2,
|
| 1933 |
+
1,
|
| 1934 |
+
-1
|
| 1935 |
+
],
|
| 1936 |
+
[
|
| 1937 |
+
48,
|
| 1938 |
+
1,
|
| 1939 |
+
1,
|
| 1940 |
+
1
|
| 1941 |
+
]
|
| 1942 |
+
]
|
| 1943 |
+
},
|
| 1944 |
+
"questions": [
|
| 1945 |
+
{
|
| 1946 |
+
"question": "What happened right after the cyan sphere collided with the yellow sphere?",
|
| 1947 |
+
"answer": "the red sphere collided with the yellow sphere",
|
| 1948 |
+
"choices": [
|
| 1949 |
+
"the red sphere started moving",
|
| 1950 |
+
"the red sphere collided with the yellow sphere",
|
| 1951 |
+
"the cyan sphere started moving",
|
| 1952 |
+
"the gray sphere collided with the wall"
|
| 1953 |
+
],
|
| 1954 |
+
"answer_index": 1,
|
| 1955 |
+
"question_type": "explanatory",
|
| 1956 |
+
"template": "what_happened_after",
|
| 1957 |
+
"program": [
|
| 1958 |
+
{
|
| 1959 |
+
"op": "find_collision",
|
| 1960 |
+
"objects": [
|
| 1961 |
+
1,
|
| 1962 |
+
4
|
| 1963 |
+
]
|
| 1964 |
+
},
|
| 1965 |
+
{
|
| 1966 |
+
"op": "query_after_event"
|
| 1967 |
+
}
|
| 1968 |
+
]
|
| 1969 |
+
},
|
| 1970 |
+
{
|
| 1971 |
+
"question": "If the cyan sphere were removed, would the red sphere still start moving?",
|
| 1972 |
+
"answer": "no",
|
| 1973 |
+
"choices": [
|
| 1974 |
+
"no",
|
| 1975 |
+
"yes"
|
| 1976 |
+
],
|
| 1977 |
+
"answer_index": 0,
|
| 1978 |
+
"question_type": "counterfactual",
|
| 1979 |
+
"template": "cf_motion",
|
| 1980 |
+
"program": [
|
| 1981 |
+
{
|
| 1982 |
+
"op": "remove_object",
|
| 1983 |
+
"idx": 1
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"op": "filter_object",
|
| 1987 |
+
"idx": 0
|
| 1988 |
+
},
|
| 1989 |
+
{
|
| 1990 |
+
"op": "query_motion_start"
|
| 1991 |
+
}
|
| 1992 |
+
]
|
| 1993 |
+
},
|
| 1994 |
+
{
|
| 1995 |
+
"question": "What shape is the cyan object?",
|
| 1996 |
+
"answer": "sphere",
|
| 1997 |
+
"choices": [
|
| 1998 |
+
"sphere",
|
| 1999 |
+
"cylinder",
|
| 2000 |
+
"cube"
|
| 2001 |
+
],
|
| 2002 |
+
"answer_index": 0,
|
| 2003 |
+
"question_type": "descriptive",
|
| 2004 |
+
"template": "query_shape",
|
| 2005 |
+
"program": [
|
| 2006 |
+
{
|
| 2007 |
+
"op": "filter_color",
|
| 2008 |
+
"value": "cyan"
|
| 2009 |
+
},
|
| 2010 |
+
{
|
| 2011 |
+
"op": "query_shape"
|
| 2012 |
+
}
|
| 2013 |
+
]
|
| 2014 |
+
},
|
| 2015 |
+
{
|
| 2016 |
+
"question": "What shape is the red object?",
|
| 2017 |
+
"answer": "sphere",
|
| 2018 |
+
"choices": [
|
| 2019 |
+
"cube",
|
| 2020 |
+
"cylinder",
|
| 2021 |
+
"sphere"
|
| 2022 |
+
],
|
| 2023 |
+
"answer_index": 2,
|
| 2024 |
+
"question_type": "descriptive",
|
| 2025 |
+
"template": "query_shape",
|
| 2026 |
+
"program": [
|
| 2027 |
+
{
|
| 2028 |
+
"op": "filter_color",
|
| 2029 |
+
"value": "red"
|
| 2030 |
+
},
|
| 2031 |
+
{
|
| 2032 |
+
"op": "query_shape"
|
| 2033 |
+
}
|
| 2034 |
+
]
|
| 2035 |
+
},
|
| 2036 |
+
{
|
| 2037 |
+
"question": "If the yellow sphere were removed, would the red sphere still start moving?",
|
| 2038 |
+
"answer": "no",
|
| 2039 |
+
"choices": [
|
| 2040 |
+
"yes",
|
| 2041 |
+
"no"
|
| 2042 |
+
],
|
| 2043 |
+
"answer_index": 1,
|
| 2044 |
+
"question_type": "counterfactual",
|
| 2045 |
+
"template": "cf_motion",
|
| 2046 |
+
"program": [
|
| 2047 |
+
{
|
| 2048 |
+
"op": "remove_object",
|
| 2049 |
+
"idx": 4
|
| 2050 |
+
},
|
| 2051 |
+
{
|
| 2052 |
+
"op": "filter_object",
|
| 2053 |
+
"idx": 0
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"op": "query_motion_start"
|
| 2057 |
+
}
|
| 2058 |
+
]
|
| 2059 |
+
},
|
| 2060 |
+
{
|
| 2061 |
+
"question": "What caused the red sphere to start moving?",
|
| 2062 |
+
"answer": "the collision with the yellow sphere",
|
| 2063 |
+
"choices": [
|
| 2064 |
+
"the collision with the cyan sphere",
|
| 2065 |
+
"the collision with the yellow sphere",
|
| 2066 |
+
"nothing - it was already moving",
|
| 2067 |
+
"it was pushed by the wall"
|
| 2068 |
+
],
|
| 2069 |
+
"answer_index": 1,
|
| 2070 |
+
"question_type": "explanatory",
|
| 2071 |
+
"template": "cause_of_motion",
|
| 2072 |
+
"program": [
|
| 2073 |
+
{
|
| 2074 |
+
"op": "filter_object",
|
| 2075 |
+
"idx": 0
|
| 2076 |
+
},
|
| 2077 |
+
{
|
| 2078 |
+
"op": "query_motion_cause"
|
| 2079 |
+
}
|
| 2080 |
+
]
|
| 2081 |
+
},
|
| 2082 |
+
{
|
| 2083 |
+
"question": "What shape is the yellow object?",
|
| 2084 |
+
"answer": "sphere",
|
| 2085 |
+
"choices": [
|
| 2086 |
+
"sphere",
|
| 2087 |
+
"cube",
|
| 2088 |
+
"cylinder"
|
| 2089 |
+
],
|
| 2090 |
+
"answer_index": 0,
|
| 2091 |
+
"question_type": "descriptive",
|
| 2092 |
+
"template": "query_shape",
|
| 2093 |
+
"program": [
|
| 2094 |
+
{
|
| 2095 |
+
"op": "filter_color",
|
| 2096 |
+
"value": "yellow"
|
| 2097 |
+
},
|
| 2098 |
+
{
|
| 2099 |
+
"op": "query_shape"
|
| 2100 |
+
}
|
| 2101 |
+
]
|
| 2102 |
+
},
|
| 2103 |
+
{
|
| 2104 |
+
"question": "Will the red sphere collide with the cyan sphere by the end of the video?",
|
| 2105 |
+
"answer": "no",
|
| 2106 |
+
"choices": [
|
| 2107 |
+
"yes",
|
| 2108 |
+
"no"
|
| 2109 |
+
],
|
| 2110 |
+
"answer_index": 1,
|
| 2111 |
+
"question_type": "predictive",
|
| 2112 |
+
"template": "will_collide",
|
| 2113 |
+
"program": [
|
| 2114 |
+
{
|
| 2115 |
+
"op": "find_collision",
|
| 2116 |
+
"objects": [
|
| 2117 |
+
0,
|
| 2118 |
+
1
|
| 2119 |
+
]
|
| 2120 |
+
},
|
| 2121 |
+
{
|
| 2122 |
+
"op": "query_existence"
|
| 2123 |
+
}
|
| 2124 |
+
]
|
| 2125 |
+
}
|
| 2126 |
+
]
|
| 2127 |
+
},
|
| 2128 |
+
{
|
| 2129 |
+
"video_index": 5,
|
| 2130 |
+
"video_filename": "videos/video_00005.gif",
|
| 2131 |
+
"num_frames": 64,
|
| 2132 |
+
"frame_size": 128,
|
| 2133 |
+
"fps": 25,
|
| 2134 |
+
"scene": {
|
| 2135 |
+
"objects": [
|
| 2136 |
+
{
|
| 2137 |
+
"idx": 0,
|
| 2138 |
+
"color": "red",
|
| 2139 |
+
"shape": "cylinder",
|
| 2140 |
+
"material": "rubber",
|
| 2141 |
+
"size": "small",
|
| 2142 |
+
"radius": 0.16609685313350853,
|
| 2143 |
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"position": [
|
| 2144 |
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-0.02162864193159808,
|
| 2145 |
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0.5477369906763048
|
| 2146 |
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],
|
| 2147 |
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"velocity": [
|
| 2148 |
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0.0,
|
| 2149 |
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0.0
|
| 2150 |
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],
|
| 2151 |
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"spin": -1.496400949239514,
|
| 2152 |
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"is_probe": false
|
| 2153 |
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},
|
| 2154 |
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{
|
| 2155 |
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"idx": 1,
|
| 2156 |
+
"color": "brown",
|
| 2157 |
+
"shape": "cube",
|
| 2158 |
+
"material": "rubber",
|
| 2159 |
+
"size": "large",
|
| 2160 |
+
"radius": 0.33793489546074046,
|
| 2161 |
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"position": [
|
| 2162 |
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-1.3615115898300263,
|
| 2163 |
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0.17234796245424255
|
| 2164 |
+
],
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| 2165 |
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"velocity": [
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| 2166 |
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-1.1364131596450517,
|
| 2167 |
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-0.02402328219120739
|
| 2168 |
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],
|
| 2169 |
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"spin": -0.8902414916563056,
|
| 2170 |
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"is_probe": false
|
| 2171 |
+
},
|
| 2172 |
+
{
|
| 2173 |
+
"idx": 2,
|
| 2174 |
+
"color": "blue",
|
| 2175 |
+
"shape": "cube",
|
| 2176 |
+
"material": "rubber",
|
| 2177 |
+
"size": "small",
|
| 2178 |
+
"radius": 0.19386065648651293,
|
| 2179 |
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"position": [
|
| 2180 |
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-0.7085000259566853,
|
| 2181 |
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1.1769186373382585
|
| 2182 |
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],
|
| 2183 |
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"velocity": [
|
| 2184 |
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0.0,
|
| 2185 |
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0.0
|
| 2186 |
+
],
|
| 2187 |
+
"spin": -0.5251720662731818,
|
| 2188 |
+
"is_probe": false
|
| 2189 |
+
},
|
| 2190 |
+
{
|
| 2191 |
+
"idx": 3,
|
| 2192 |
+
"color": "green",
|
| 2193 |
+
"shape": "sphere",
|
| 2194 |
+
"material": "rubber",
|
| 2195 |
+
"size": "large",
|
| 2196 |
+
"radius": 0.3275384830086993,
|
| 2197 |
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"position": [
|
| 2198 |
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1.1472743572152606,
|
| 2199 |
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-0.8453125720011849
|
| 2200 |
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],
|
| 2201 |
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"velocity": [
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| 2202 |
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0.0,
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| 2203 |
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0.0
|
| 2204 |
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],
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| 2205 |
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"spin": 0.9186459930811308,
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| 2206 |
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"is_probe": false
|
| 2207 |
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},
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| 2208 |
+
{
|
| 2209 |
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"idx": 4,
|
| 2210 |
+
"color": "gray",
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| 2211 |
+
"shape": "sphere",
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| 2212 |
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"material": "rubber",
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| 2213 |
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"size": "large",
|
| 2214 |
+
"radius": 0.2913923731467823,
|
| 2215 |
+
"position": [
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| 2216 |
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1.2258895421837905,
|
| 2217 |
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1.1538059508754384
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| 2218 |
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],
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| 2219 |
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"velocity": [
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| 2220 |
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-0.34428904618230377,
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| 2221 |
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0.7761002312894555
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| 2222 |
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],
|
| 2223 |
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"spin": 0.5955359709549324,
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| 2224 |
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"is_probe": false
|
| 2225 |
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}
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| 2226 |
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]
|
| 2227 |
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},
|
| 2228 |
+
"events": {
|
| 2229 |
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"collision_events": [
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| 2230 |
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{
|
| 2231 |
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"frame": 43,
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| 2232 |
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"objects": [
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| 2233 |
+
0,
|
| 2234 |
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1
|
| 2235 |
+
],
|
| 2236 |
+
"description": "the red cylinder collided with the brown cube"
|
| 2237 |
+
},
|
| 2238 |
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{
|
| 2239 |
+
"frame": 52,
|
| 2240 |
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"objects": [
|
| 2241 |
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0,
|
| 2242 |
+
4
|
| 2243 |
+
],
|
| 2244 |
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"description": "the red cylinder collided with the gray sphere"
|
| 2245 |
+
}
|
| 2246 |
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],
|
| 2247 |
+
"motion_events": [
|
| 2248 |
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{
|
| 2249 |
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"object": 0,
|
| 2250 |
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"type": "start",
|
| 2251 |
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"frame": 43,
|
| 2252 |
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"cause_collision": {
|
| 2253 |
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"frame": 43,
|
| 2254 |
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"objects": [
|
| 2255 |
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0,
|
| 2256 |
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1
|
| 2257 |
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]
|
| 2258 |
+
}
|
| 2259 |
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}
|
| 2260 |
+
],
|
| 2261 |
+
"initially_moving": [
|
| 2262 |
+
1,
|
| 2263 |
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4
|
| 2264 |
+
]
|
| 2265 |
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},
|
| 2266 |
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"raw_events": {
|
| 2267 |
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"collisions": [
|
| 2268 |
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{
|
| 2269 |
+
"frame": 43,
|
| 2270 |
+
"objects": [
|
| 2271 |
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0,
|
| 2272 |
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1
|
| 2273 |
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]
|
| 2274 |
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},
|
| 2275 |
+
{
|
| 2276 |
+
"frame": 52,
|
| 2277 |
+
"objects": [
|
| 2278 |
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0,
|
| 2279 |
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4
|
| 2280 |
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]
|
| 2281 |
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}
|
| 2282 |
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],
|
| 2283 |
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"starts": {
|
| 2284 |
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"0": [
|
| 2285 |
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43
|
| 2286 |
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],
|
| 2287 |
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"1": [],
|
| 2288 |
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"2": [],
|
| 2289 |
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"3": [],
|
| 2290 |
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"4": []
|
| 2291 |
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},
|
| 2292 |
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"stops": {
|
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"0": [],
|
| 2294 |
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"1": [],
|
| 2295 |
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"2": [],
|
| 2296 |
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"3": [],
|
| 2297 |
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"4": []
|
| 2298 |
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},
|
| 2299 |
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"initially_moving": [
|
| 2300 |
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1,
|
| 2301 |
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4
|
| 2302 |
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],
|
| 2303 |
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"wall_hits": [
|
| 2304 |
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[
|
| 2305 |
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6,
|
| 2306 |
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1,
|
| 2307 |
+
0,
|
| 2308 |
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-1
|
| 2309 |
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],
|
| 2310 |
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[
|
| 2311 |
+
18,
|
| 2312 |
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4,
|
| 2313 |
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1,
|
| 2314 |
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1
|
| 2315 |
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]
|
| 2316 |
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]
|
| 2317 |
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},
|
| 2318 |
+
"questions": [
|
| 2319 |
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{
|
| 2320 |
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"question": "How many red objects are there?",
|
| 2321 |
+
"answer": "1",
|
| 2322 |
+
"choices": [
|
| 2323 |
+
"0",
|
| 2324 |
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"1",
|
| 2325 |
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"2",
|
| 2326 |
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"3",
|
| 2327 |
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"4",
|
| 2328 |
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"6"
|
| 2329 |
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],
|
| 2330 |
+
"answer_index": 1,
|
| 2331 |
+
"question_type": "descriptive",
|
| 2332 |
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"template": "count_color",
|
| 2333 |
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"program": [
|
| 2334 |
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{
|
| 2335 |
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"op": "filter_color",
|
| 2336 |
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"value": "red"
|
| 2337 |
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},
|
| 2338 |
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{
|
| 2339 |
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"op": "count"
|
| 2340 |
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}
|
| 2341 |
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]
|
| 2342 |
+
},
|
| 2343 |
+
{
|
| 2344 |
+
"question": "How many green objects are there?",
|
| 2345 |
+
"answer": "1",
|
| 2346 |
+
"choices": [
|
| 2347 |
+
"0",
|
| 2348 |
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"1",
|
| 2349 |
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"3",
|
| 2350 |
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"4",
|
| 2351 |
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"5",
|
| 2352 |
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"6"
|
| 2353 |
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],
|
| 2354 |
+
"answer_index": 1,
|
| 2355 |
+
"question_type": "descriptive",
|
| 2356 |
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"template": "count_color",
|
| 2357 |
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"program": [
|
| 2358 |
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{
|
| 2359 |
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"op": "filter_color",
|
| 2360 |
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"value": "green"
|
| 2361 |
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},
|
| 2362 |
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{
|
| 2363 |
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"op": "count"
|
| 2364 |
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}
|
| 2365 |
+
]
|
| 2366 |
+
},
|
| 2367 |
+
{
|
| 2368 |
+
"question": "After the red cylinder collided with the gray sphere, will the red cylinder collide with something else?",
|
| 2369 |
+
"answer": "no",
|
| 2370 |
+
"choices": [
|
| 2371 |
+
"no",
|
| 2372 |
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"yes"
|
| 2373 |
+
],
|
| 2374 |
+
"answer_index": 0,
|
| 2375 |
+
"question_type": "predictive",
|
| 2376 |
+
"template": "will_collide_again",
|
| 2377 |
+
"program": [
|
| 2378 |
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{
|
| 2379 |
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"op": "find_collision",
|
| 2380 |
+
"objects": [
|
| 2381 |
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0,
|
| 2382 |
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4
|
| 2383 |
+
]
|
| 2384 |
+
},
|
| 2385 |
+
{
|
| 2386 |
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"op": "query_subsequent_collision"
|
| 2387 |
+
}
|
| 2388 |
+
]
|
| 2389 |
+
},
|
| 2390 |
+
{
|
| 2391 |
+
"question": "If the gray sphere were removed, would the red cylinder still collide with the brown cube?",
|
| 2392 |
+
"answer": "yes",
|
| 2393 |
+
"choices": [
|
| 2394 |
+
"no",
|
| 2395 |
+
"yes"
|
| 2396 |
+
],
|
| 2397 |
+
"answer_index": 1,
|
| 2398 |
+
"question_type": "counterfactual",
|
| 2399 |
+
"template": "cf_collision",
|
| 2400 |
+
"program": [
|
| 2401 |
+
{
|
| 2402 |
+
"op": "remove_object",
|
| 2403 |
+
"idx": 4
|
| 2404 |
+
},
|
| 2405 |
+
{
|
| 2406 |
+
"op": "find_collision",
|
| 2407 |
+
"objects": [
|
| 2408 |
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0,
|
| 2409 |
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1
|
| 2410 |
+
]
|
| 2411 |
+
},
|
| 2412 |
+
{
|
| 2413 |
+
"op": "query_existence"
|
| 2414 |
+
}
|
| 2415 |
+
]
|
| 2416 |
+
},
|
| 2417 |
+
{
|
| 2418 |
+
"question": "How many collisions happened in the video?",
|
| 2419 |
+
"answer": "2",
|
| 2420 |
+
"choices": [
|
| 2421 |
+
"0",
|
| 2422 |
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"1",
|
| 2423 |
+
"2",
|
| 2424 |
+
"3",
|
| 2425 |
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"4",
|
| 2426 |
+
"6"
|
| 2427 |
+
],
|
| 2428 |
+
"answer_index": 2,
|
| 2429 |
+
"question_type": "explanatory",
|
| 2430 |
+
"template": "count_collisions",
|
| 2431 |
+
"program": [
|
| 2432 |
+
{
|
| 2433 |
+
"op": "filter_event",
|
| 2434 |
+
"type": "collision"
|
| 2435 |
+
},
|
| 2436 |
+
{
|
| 2437 |
+
"op": "count"
|
| 2438 |
+
}
|
| 2439 |
+
]
|
| 2440 |
+
},
|
| 2441 |
+
{
|
| 2442 |
+
"question": "If the green sphere were removed, would the red cylinder still start moving?",
|
| 2443 |
+
"answer": "yes",
|
| 2444 |
+
"choices": [
|
| 2445 |
+
"yes",
|
| 2446 |
+
"no"
|
| 2447 |
+
],
|
| 2448 |
+
"answer_index": 0,
|
| 2449 |
+
"question_type": "counterfactual",
|
| 2450 |
+
"template": "cf_motion",
|
| 2451 |
+
"program": [
|
| 2452 |
+
{
|
| 2453 |
+
"op": "remove_object",
|
| 2454 |
+
"idx": 3
|
| 2455 |
+
},
|
| 2456 |
+
{
|
| 2457 |
+
"op": "filter_object",
|
| 2458 |
+
"idx": 0
|
| 2459 |
+
},
|
| 2460 |
+
{
|
| 2461 |
+
"op": "query_motion_start"
|
| 2462 |
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}
|
| 2463 |
+
]
|
| 2464 |
+
},
|
| 2465 |
+
{
|
| 2466 |
+
"question": "What material is the brown cube made of?",
|
| 2467 |
+
"answer": "rubber",
|
| 2468 |
+
"choices": [
|
| 2469 |
+
"rubber",
|
| 2470 |
+
"metal"
|
| 2471 |
+
],
|
| 2472 |
+
"answer_index": 0,
|
| 2473 |
+
"question_type": "descriptive",
|
| 2474 |
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"template": "query_material",
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| 2475 |
+
"program": [
|
| 2476 |
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{
|
| 2477 |
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"op": "filter_color",
|
| 2478 |
+
"value": "brown"
|
| 2479 |
+
},
|
| 2480 |
+
{
|
| 2481 |
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"op": "filter_shape",
|
| 2482 |
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"value": "cube"
|
| 2483 |
+
},
|
| 2484 |
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{
|
| 2485 |
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"op": "query_material"
|
| 2486 |
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}
|
| 2487 |
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]
|
| 2488 |
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},
|
| 2489 |
+
{
|
| 2490 |
+
"question": "What happened right before the red cylinder collided with the brown cube?",
|
| 2491 |
+
"answer": "nothing happened",
|
| 2492 |
+
"choices": [
|
| 2493 |
+
"the brown cube collided with the wall",
|
| 2494 |
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"the gray sphere collided with the wall",
|
| 2495 |
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"nothing happened",
|
| 2496 |
+
"the red cylinder collided with the gray sphere"
|
| 2497 |
+
],
|
| 2498 |
+
"answer_index": 2,
|
| 2499 |
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"question_type": "explanatory",
|
| 2500 |
+
"template": "what_happened_before",
|
| 2501 |
+
"program": [
|
| 2502 |
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{
|
| 2503 |
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"op": "find_collision",
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| 2504 |
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"objects": [
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| 2505 |
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0,
|
| 2506 |
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1
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| 2507 |
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]
|
| 2508 |
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},
|
| 2509 |
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{
|
| 2510 |
+
"op": "query_before_event"
|
| 2511 |
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}
|
| 2512 |
+
]
|
| 2513 |
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}
|
| 2514 |
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]
|
| 2515 |
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},
|
| 2516 |
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{
|
| 2517 |
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"video_index": 6,
|
| 2518 |
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"video_filename": "videos/video_00006.gif",
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| 2519 |
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"num_frames": 64,
|
| 2520 |
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|
| 2521 |
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"fps": 25,
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| 2522 |
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"scene": {
|
| 2523 |
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"objects": [
|
| 2524 |
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{
|
| 2525 |
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"idx": 0,
|
| 2526 |
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"color": "gray",
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| 2527 |
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"shape": "cylinder",
|
| 2528 |
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"material": "metal",
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| 2529 |
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"size": "large",
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| 2530 |
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| 2531 |
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| 2533 |
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| 2541 |
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},
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| 2542 |
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{
|
| 2543 |
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"idx": 1,
|
| 2544 |
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"color": "green",
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| 2545 |
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"shape": "cube",
|
| 2546 |
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"material": "rubber",
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| 2547 |
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"size": "small",
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| 2548 |
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"radius": 0.15881747166108884,
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| 2549 |
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"position": [
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| 2551 |
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| 2558 |
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| 2559 |
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},
|
| 2560 |
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{
|
| 2561 |
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"idx": 2,
|
| 2562 |
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"color": "yellow",
|
| 2563 |
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"shape": "sphere",
|
| 2564 |
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"material": "rubber",
|
| 2565 |
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"size": "small",
|
| 2566 |
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"radius": 0.18688395948884723,
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| 2567 |
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"position": [
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1.1539508850452902,
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| 2569 |
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],
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"velocity": [
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"spin": 0.9492184377530788,
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| 2577 |
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}
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]
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},
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| 2580 |
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"events": {
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| 2581 |
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| 2582 |
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{
|
| 2583 |
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"frame": 18,
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"objects": [
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| 2585 |
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0,
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| 2586 |
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2
|
| 2587 |
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],
|
| 2588 |
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"description": "the gray cylinder collided with the yellow sphere"
|
| 2589 |
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},
|
| 2590 |
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{
|
| 2591 |
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"frame": 30,
|
| 2592 |
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"objects": [
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| 2593 |
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0,
|
| 2594 |
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1
|
| 2595 |
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],
|
| 2596 |
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"description": "the gray cylinder collided with the green cube"
|
| 2597 |
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}
|
| 2598 |
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],
|
| 2599 |
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"motion_events": [],
|
| 2600 |
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| 2601 |
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0,
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| 2602 |
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1,
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| 2603 |
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2
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| 2604 |
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]
|
| 2605 |
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},
|
| 2606 |
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"raw_events": {
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| 2607 |
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"collisions": [
|
| 2608 |
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{
|
| 2609 |
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"frame": 18,
|
| 2610 |
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"objects": [
|
| 2611 |
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0,
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| 2612 |
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2
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| 2613 |
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]
|
| 2614 |
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},
|
| 2615 |
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{
|
| 2616 |
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"frame": 30,
|
| 2617 |
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"objects": [
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| 2618 |
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0,
|
| 2619 |
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1
|
| 2620 |
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]
|
| 2621 |
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}
|
| 2622 |
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],
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| 2623 |
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"starts": {
|
| 2624 |
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"0": [],
|
| 2625 |
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"1": [],
|
| 2626 |
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"2": []
|
| 2627 |
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},
|
| 2628 |
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"stops": {
|
| 2629 |
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"0": [],
|
| 2630 |
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"1": [],
|
| 2631 |
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"2": []
|
| 2632 |
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},
|
| 2633 |
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"initially_moving": [
|
| 2634 |
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0,
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| 2635 |
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1,
|
| 2636 |
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2
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| 2637 |
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],
|
| 2638 |
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"wall_hits": [
|
| 2639 |
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[
|
| 2640 |
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2,
|
| 2641 |
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0,
|
| 2642 |
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1,
|
| 2643 |
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1
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| 2644 |
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],
|
| 2645 |
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[
|
| 2646 |
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13,
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| 2647 |
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2,
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| 2648 |
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0,
|
| 2649 |
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1
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| 2650 |
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],
|
| 2651 |
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[
|
| 2652 |
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18,
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| 2653 |
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0,
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| 2654 |
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0,
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| 2655 |
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1
|
| 2656 |
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],
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| 2657 |
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[
|
| 2658 |
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46,
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| 2659 |
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2,
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| 2660 |
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1,
|
| 2661 |
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-1
|
| 2662 |
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]
|
| 2663 |
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]
|
| 2664 |
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},
|
| 2665 |
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"questions": [
|
| 2666 |
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{
|
| 2667 |
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"question": "If the yellow sphere were removed, would the gray cylinder still collide with the green cube?",
|
| 2668 |
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"answer": "no",
|
| 2669 |
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"choices": [
|
| 2670 |
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"yes",
|
| 2671 |
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"no"
|
| 2672 |
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],
|
| 2673 |
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"answer_index": 1,
|
| 2674 |
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"question_type": "counterfactual",
|
| 2675 |
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"template": "cf_collision",
|
| 2676 |
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"program": [
|
| 2677 |
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{
|
| 2678 |
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"op": "remove_object",
|
| 2679 |
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"idx": 2
|
| 2680 |
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},
|
| 2681 |
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{
|
| 2682 |
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"op": "find_collision",
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| 2683 |
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"objects": [
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| 2684 |
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0,
|
| 2685 |
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1
|
| 2686 |
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]
|
| 2687 |
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},
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| 2688 |
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{
|
| 2689 |
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"op": "query_existence"
|
| 2690 |
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}
|
| 2691 |
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]
|
| 2692 |
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},
|
| 2693 |
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{
|
| 2694 |
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"question": "After the gray cylinder collided with the yellow sphere, will the gray cylinder collide with something else?",
|
| 2695 |
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"answer": "yes",
|
| 2696 |
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"choices": [
|
| 2697 |
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"yes",
|
| 2698 |
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"no"
|
| 2699 |
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],
|
| 2700 |
+
"answer_index": 0,
|
| 2701 |
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"question_type": "predictive",
|
| 2702 |
+
"template": "will_collide_again",
|
| 2703 |
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"program": [
|
| 2704 |
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{
|
| 2705 |
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"op": "find_collision",
|
| 2706 |
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"objects": [
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| 2707 |
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0,
|
| 2708 |
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2
|
| 2709 |
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]
|
| 2710 |
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},
|
| 2711 |
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{
|
| 2712 |
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"op": "query_subsequent_collision"
|
| 2713 |
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}
|
| 2714 |
+
]
|
| 2715 |
+
},
|
| 2716 |
+
{
|
| 2717 |
+
"question": "How many yellow objects are there?",
|
| 2718 |
+
"answer": "1",
|
| 2719 |
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"choices": [
|
| 2720 |
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"0",
|
| 2721 |
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"1",
|
| 2722 |
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"3",
|
| 2723 |
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"4",
|
| 2724 |
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"5",
|
| 2725 |
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"6"
|
| 2726 |
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],
|
| 2727 |
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"answer_index": 1,
|
| 2728 |
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"question_type": "descriptive",
|
| 2729 |
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"template": "count_color",
|
| 2730 |
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"program": [
|
| 2731 |
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{
|
| 2732 |
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"op": "filter_color",
|
| 2733 |
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"value": "yellow"
|
| 2734 |
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},
|
| 2735 |
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{
|
| 2736 |
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"op": "count"
|
| 2737 |
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}
|
| 2738 |
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]
|
| 2739 |
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},
|
| 2740 |
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{
|
| 2741 |
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"question": "If the green cube were removed, would the gray cylinder still collide with the yellow sphere?",
|
| 2742 |
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"answer": "yes",
|
| 2743 |
+
"choices": [
|
| 2744 |
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"yes",
|
| 2745 |
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"no"
|
| 2746 |
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],
|
| 2747 |
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"answer_index": 0,
|
| 2748 |
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"question_type": "counterfactual",
|
| 2749 |
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"template": "cf_collision",
|
| 2750 |
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"program": [
|
| 2751 |
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{
|
| 2752 |
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"op": "remove_object",
|
| 2753 |
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"idx": 1
|
| 2754 |
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},
|
| 2755 |
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{
|
| 2756 |
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"op": "find_collision",
|
| 2757 |
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"objects": [
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| 2758 |
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0,
|
| 2759 |
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2
|
| 2760 |
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]
|
| 2761 |
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},
|
| 2762 |
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{
|
| 2763 |
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"op": "query_existence"
|
| 2764 |
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}
|
| 2765 |
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]
|
| 2766 |
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},
|
| 2767 |
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{
|
| 2768 |
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"question": "What color is the sphere?",
|
| 2769 |
+
"answer": "yellow",
|
| 2770 |
+
"choices": [
|
| 2771 |
+
"yellow",
|
| 2772 |
+
"blue",
|
| 2773 |
+
"purple",
|
| 2774 |
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"brown",
|
| 2775 |
+
"red",
|
| 2776 |
+
"gray",
|
| 2777 |
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"cyan",
|
| 2778 |
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"green"
|
| 2779 |
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],
|
| 2780 |
+
"answer_index": 0,
|
| 2781 |
+
"question_type": "descriptive",
|
| 2782 |
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"template": "query_color",
|
| 2783 |
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"program": [
|
| 2784 |
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{
|
| 2785 |
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"op": "filter_shape",
|
| 2786 |
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"value": "sphere"
|
| 2787 |
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},
|
| 2788 |
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{
|
| 2789 |
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"op": "query_color"
|
| 2790 |
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}
|
| 2791 |
+
]
|
| 2792 |
+
},
|
| 2793 |
+
{
|
| 2794 |
+
"question": "How many objects were moving when the gray cylinder collided with the green cube?",
|
| 2795 |
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"answer": "3",
|
| 2796 |
+
"choices": [
|
| 2797 |
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"0",
|
| 2798 |
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"1",
|
| 2799 |
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"2",
|
| 2800 |
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"3"
|
| 2801 |
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],
|
| 2802 |
+
"answer_index": 3,
|
| 2803 |
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"question_type": "explanatory",
|
| 2804 |
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"template": "count_moving_at",
|
| 2805 |
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"program": [
|
| 2806 |
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{
|
| 2807 |
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"op": "find_collision",
|
| 2808 |
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"objects": [
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| 2809 |
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0,
|
| 2810 |
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1
|
| 2811 |
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]
|
| 2812 |
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},
|
| 2813 |
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{
|
| 2814 |
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"op": "count_moving_at_collision"
|
| 2815 |
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}
|
| 2816 |
+
]
|
| 2817 |
+
},
|
| 2818 |
+
{
|
| 2819 |
+
"question": "What material is the gray cylinder made of?",
|
| 2820 |
+
"answer": "metal",
|
| 2821 |
+
"choices": [
|
| 2822 |
+
"rubber",
|
| 2823 |
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"metal"
|
| 2824 |
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],
|
| 2825 |
+
"answer_index": 1,
|
| 2826 |
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"question_type": "descriptive",
|
| 2827 |
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"template": "query_material",
|
| 2828 |
+
"program": [
|
| 2829 |
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{
|
| 2830 |
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"op": "filter_color",
|
| 2831 |
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"value": "gray"
|
| 2832 |
+
},
|
| 2833 |
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{
|
| 2834 |
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"op": "filter_shape",
|
| 2835 |
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"value": "cylinder"
|
| 2836 |
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},
|
| 2837 |
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{
|
| 2838 |
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"op": "query_material"
|
| 2839 |
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}
|
| 2840 |
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]
|
| 2841 |
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},
|
| 2842 |
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{
|
| 2843 |
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"question": "What happened right after the gray cylinder collided with the green cube?",
|
| 2844 |
+
"answer": "nothing happened",
|
| 2845 |
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"choices": [
|
| 2846 |
+
"the gray cylinder collided with the wall",
|
| 2847 |
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"the yellow sphere collided with the wall",
|
| 2848 |
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"the gray cylinder collided with the yellow sphere",
|
| 2849 |
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"nothing happened"
|
| 2850 |
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],
|
| 2851 |
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"answer_index": 3,
|
| 2852 |
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"question_type": "explanatory",
|
| 2853 |
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"template": "what_happened_after",
|
| 2854 |
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"program": [
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| 2855 |
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{
|
| 2856 |
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"op": "find_collision",
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| 2857 |
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"objects": [
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| 2858 |
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0,
|
| 2859 |
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1
|
| 2860 |
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]
|
| 2861 |
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},
|
| 2862 |
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{
|
| 2863 |
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"op": "query_after_event"
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| 2864 |
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}
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| 2865 |
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]
|
| 2866 |
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}
|
| 2867 |
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]
|
| 2868 |
+
},
|
| 2869 |
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{
|
| 2870 |
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"video_index": 7,
|
| 2871 |
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"video_filename": "videos/video_00007.gif",
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"num_frames": 64,
|
| 2873 |
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|
| 2874 |
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"fps": 25,
|
| 2875 |
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| 2876 |
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"objects": [
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| 2877 |
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{
|
| 2878 |
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"idx": 0,
|
| 2879 |
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"color": "green",
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| 2880 |
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"shape": "sphere",
|
| 2881 |
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"material": "metal",
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| 2882 |
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"size": "small",
|
| 2883 |
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"radius": 0.16276677029301875,
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| 2884 |
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"position": [
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| 2886 |
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|
| 2887 |
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],
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| 2888 |
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"velocity": [
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| 2890 |
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| 2891 |
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],
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"spin": 1.0352229626236586,
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| 2893 |
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"is_probe": false
|
| 2894 |
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},
|
| 2895 |
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{
|
| 2896 |
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"idx": 1,
|
| 2897 |
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"color": "gray",
|
| 2898 |
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"shape": "sphere",
|
| 2899 |
+
"material": "rubber",
|
| 2900 |
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"size": "small",
|
| 2901 |
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"radius": 0.19872487306467332,
|
| 2902 |
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"position": [
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},
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{
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"question": "How many collisions happened in the video?",
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]
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},
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{
|
| 3213 |
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"question": "Will the gray sphere collide with the red cube by the end of the video?",
|
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|
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},
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|
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]
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| 3234 |
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}
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| 3235 |
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]
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| 3236 |
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}
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| 3237 |
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]
|
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output/dataset_100/videos/video_00016.gif
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output/dataset_100/videos/video_00019.gif
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output/dataset_100/videos/video_00022.gif
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output/dataset_100/videos/video_00023.gif
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output/dataset_100/videos/video_00024.gif
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output/dataset_100/videos/video_00025.gif
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output/dataset_100/videos/video_00026.gif
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output/dataset_100/videos/video_00027.gif
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output/dataset_100/videos/video_00028.gif
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output/dataset_100/videos/video_00029.gif
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output/dataset_100/videos/video_00030.gif
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output/dataset_100/videos/video_00031.gif
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output/dataset_100/videos/video_00032.gif
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output/dataset_100/videos/video_00033.gif
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output/dataset_100/videos/video_00034.gif
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output/dataset_100/videos/video_00035.gif
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output/dataset_100/videos/video_00036.gif
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output/dataset_100/videos/video_00037.gif
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|