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task
string
env_id
string
env_kwargs
dict
seed
int64
episode_seed
int64
episode
int64
init_state
dict
init_state_hash
string
version
string
messages
list
chunk_size
string
n_steps
int64
n_actions
int64
n_imagined_frames
int64
max_steps
int64
cot_row_type
string
ablation
string
schema_version
string
pacman_2d_easy_oracle_success_v0
pacman_2d/easy
{ "difficulty": "easy", "grid_size": 9, "food_count": 8, "wall_density": 0.22, "max_steps": 20, "horizon": 8, "tile_size": 24, "render_size": 256 }
2,026,080,200
3,026,080,234
0
{ "backend": "custom_grid_pacman_python_assets", "difficulty": "easy", "grid_size": 9, "food_count": 8, "wall_density": 0.22, "max_steps": 20, "horizon": 8, "tile_size": 24, "walls": [ [ 1, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 0, ...
a1c337785e2cfd3cc859bb2a21ef3f5682a160155784b1f272af276d134af524
visgym_pacman_oracle_success_easy_v1
[ { "role": "user", "content": [ { "type": "text", "text": "You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid the single red ghost, and stop only after all food is gone. The rendering uses pacman-python Pacman, ghost, pellet, and maze tile visuals, but the envi...
inf
11
11
0
20
singleshot_openloop_baseline
single_frame_openloop_no_imagination
pacman_singleshot_openloop_v1
pacman_2d_easy_oracle_success_v0
pacman_2d/easy
{ "difficulty": "easy", "grid_size": 9, "food_count": 8, "wall_density": 0.22, "max_steps": 20, "horizon": 8, "tile_size": 24, "render_size": 256 }
2,026,080,200
3,026,080,207
1
{ "backend": "custom_grid_pacman_python_assets", "difficulty": "easy", "grid_size": 9, "food_count": 8, "wall_density": 0.22, "max_steps": 20, "horizon": 8, "tile_size": 24, "walls": [ [ 1, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 0, ...
f4f37625e50a941761ee74f6573faddffb3db6c52902952379738531594f947e
visgym_pacman_oracle_success_easy_v1
[ { "role": "user", "content": [ { "type": "text", "text": "You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid the single red ghost, and stop only after all food is gone. The rendering uses pacman-python Pacman, ghost, pellet, and maze tile visuals, but the envi...
inf
10
10
0
20
singleshot_openloop_baseline
single_frame_openloop_no_imagination
pacman_singleshot_openloop_v1
pacman_2d_easy_oracle_success_v0
pacman_2d/easy
{ "difficulty": "easy", "grid_size": 9, "food_count": 8, "wall_density": 0.22, "max_steps": 20, "horizon": 8, "tile_size": 24, "render_size": 256 }
2,026,080,200
3,026,080,283
2
{ "backend": "custom_grid_pacman_python_assets", "difficulty": "easy", "grid_size": 9, "food_count": 8, "wall_density": 0.22, "max_steps": 20, "horizon": 8, "tile_size": 24, "walls": [ [ 1, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 0, ...
969be13818c4164f788ab76f773f78f83723a9a70dfe16b57dab42f30372bf45
visgym_pacman_oracle_success_easy_v1
[ { "role": "user", "content": [ { "type": "text", "text": "You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid the single red ghost, and stop only after all food is gone. The rendering uses pacman-python Pacman, ghost, pellet, and maze tile visuals, but the envi...
inf
9
9
0
20
singleshot_openloop_baseline
single_frame_openloop_no_imagination
pacman_singleshot_openloop_v1
pacman_2d_easy_oracle_success_v0
pacman_2d/easy
{ "difficulty": "easy", "grid_size": 9, "food_count": 8, "wall_density": 0.22, "max_steps": 20, "horizon": 8, "tile_size": 24, "render_size": 256 }
2,026,080,200
3,026,080,215
3
{ "backend": "custom_grid_pacman_python_assets", "difficulty": "easy", "grid_size": 9, "food_count": 8, "wall_density": 0.22, "max_steps": 20, "horizon": 8, "tile_size": 24, "walls": [ [ 1, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 0, ...
be8f588b37bd469555b8e92a04c8facee0d04a0f00f66bdb98c5eb28e7f4f54b
visgym_pacman_oracle_success_easy_v1
[ { "role": "user", "content": [ { "type": "text", "text": "You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid the single red ghost, and stop only after all food is gone. The rendering uses pacman-python Pacman, ghost, pellet, and maze tile visuals, but the envi...
inf
10
10
0
20
singleshot_openloop_baseline
single_frame_openloop_no_imagination
pacman_singleshot_openloop_v1
pacman_2d_easy_oracle_success_v0
pacman_2d/easy
{ "difficulty": "easy", "grid_size": 9, "food_count": 8, "wall_density": 0.22, "max_steps": 20, "horizon": 8, "tile_size": 24, "render_size": 256 }
2,026,080,200
3,026,080,253
4
{ "backend": "custom_grid_pacman_python_assets", "difficulty": "easy", "grid_size": 9, "food_count": 8, "wall_density": 0.22, "max_steps": 20, "horizon": 8, "tile_size": 24, "walls": [ [ 1, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 0, ...
bbe28efbed88b8e39a6e0fb48d0a7cead5d2f26a9a6e4efb4354bfc951967a7e
visgym_pacman_oracle_success_easy_v1
[ { "role": "user", "content": [ { "type": "text", "text": "You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid the single red ghost, and stop only after all food is gone. The rendering uses pacman-python Pacman, ghost, pellet, and maze tile visuals, but the envi...
inf
10
10
0
20
singleshot_openloop_baseline
single_frame_openloop_no_imagination
pacman_singleshot_openloop_v1
pacman_2d_easy_oracle_success_v0
pacman_2d/easy
{"difficulty":"easy","grid_size":9,"food_count":8,"wall_density":0.22,"max_steps":20,"horizon":8,"ti(...TRUNCATED)
2,026,080,200
3,026,080,262
5
{"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":8,"wall(...TRUNCATED)
17183bf68e5cbdcaa129070828b783a6223fb5dc732faa0f272059ae4ed7d241
visgym_pacman_oracle_success_easy_v1
[{"role":"user","content":[{"type":"text","text":"You are Pacman in a deterministic 9x9 maze. Collec(...TRUNCATED)
inf
10
10
0
20
singleshot_openloop_baseline
single_frame_openloop_no_imagination
pacman_singleshot_openloop_v1
pacman_2d_easy_oracle_success_v0
pacman_2d/easy
{"difficulty":"easy","grid_size":9,"food_count":8,"wall_density":0.22,"max_steps":20,"horizon":8,"ti(...TRUNCATED)
2,026,080,200
3,026,080,243
6
{"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":8,"wall(...TRUNCATED)
f361599e3398829d21fea9992d26d3fca53f4634116c93118f102a58ab2cb5c0
visgym_pacman_oracle_success_easy_v1
[{"role":"user","content":[{"type":"text","text":"You are Pacman in a deterministic 9x9 maze. Collec(...TRUNCATED)
inf
10
10
0
20
singleshot_openloop_baseline
single_frame_openloop_no_imagination
pacman_singleshot_openloop_v1
pacman_2d_easy_oracle_success_v0
pacman_2d/easy
{"difficulty":"easy","grid_size":9,"food_count":8,"wall_density":0.22,"max_steps":20,"horizon":8,"ti(...TRUNCATED)
2,026,080,200
3,026,080,295
7
{"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":8,"wall(...TRUNCATED)
a09f30fa49bffc3e064fa3d9342e8860908a321f6ac7f8accdaf7bba3ab2ebd8
visgym_pacman_oracle_success_easy_v1
[{"role":"user","content":[{"type":"text","text":"You are Pacman in a deterministic 9x9 maze. Collec(...TRUNCATED)
inf
10
10
0
20
singleshot_openloop_baseline
single_frame_openloop_no_imagination
pacman_singleshot_openloop_v1
pacman_2d_easy_oracle_success_v0
pacman_2d/easy
{"difficulty":"easy","grid_size":9,"food_count":8,"wall_density":0.22,"max_steps":20,"horizon":8,"ti(...TRUNCATED)
2,026,080,200
3,026,080,294
8
{"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":8,"wall(...TRUNCATED)
d90fcc7aef3323e55f2b3885c06c052cbb0cc0517b863a3502170611095f5311
visgym_pacman_oracle_success_easy_v1
[{"role":"user","content":[{"type":"text","text":"You are Pacman in a deterministic 9x9 maze. Collec(...TRUNCATED)
inf
10
10
0
20
singleshot_openloop_baseline
single_frame_openloop_no_imagination
pacman_singleshot_openloop_v1
pacman_2d_easy_oracle_success_v0
pacman_2d/easy
{"difficulty":"easy","grid_size":9,"food_count":8,"wall_density":0.22,"max_steps":20,"horizon":8,"ti(...TRUNCATED)
2,026,080,200
3,026,080,200
9
{"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":8,"wall(...TRUNCATED)
6fdc25b09d38b4f66a851812d898ff92d34914a3701976e69c2f291585884656
visgym_pacman_oracle_success_easy_v1
[{"role":"user","content":[{"type":"text","text":"You are Pacman in a deterministic 9x9 maze. Collec(...TRUNCATED)
inf
10
10
0
20
singleshot_openloop_baseline
single_frame_openloop_no_imagination
pacman_singleshot_openloop_v1
End of preview.

pacman_easy_singleshot_train

BAGEL VLM-Gym world-model dataset (pacman / singleshot).

  • Single-shot open-loop train set (non-CoT; imagine the whole episode).
  • layout: Train-only. Gzipped-JSONL shards under training/; each row is one packed SFT sample with base64-JPEG frames inline.
  • images are base64-encoded JPEG frames stored inline in each JSONL row.

Pairs with the matching pacman checkpoint(s) under the companion model org; CoT and non-CoT variants share the same underlying rollouts.

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