Valen-Team/Valen-Preview-0923
Reinforcement Learning β’ Updated β’ 23 β’ 2
Datasets:
level_id stringlengths 16 16 | group_id stringlengths 72 72 | split stringclasses 1
value | board dict | initial_state dict | generator_seed int64 20.3M 20.3M | rules_version stringclasses 1
value | render dict | language stringclasses 2
values | max_steps int64 200 200 |
|---|---|---|---|---|---|---|---|---|---|
sokoban-test-000 | sokoban:f0b2345ae2c14ca6ee9c04b3c9b1f7c83bf58c4d60798143969d8e0d2c947fc4 | test | {
"height": 8,
"width": 6,
"floors": [
7,
8,
9,
13,
14,
15,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
34,
37,
38,
39,
40
],
"goals": [
19,
20,
32
]
} | {
"player": 22,
"boxes": [
21,
31,
33
]
} | 20,260,922 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-001 | sokoban:8d1af5ee21efeef245d8e492d864d43b29226ea6e181309d25b369667a2c84ef | test | {
"height": 8,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
17,
18,
19,
24,
25,
26,
29,
31,
32,
33,
36,
37,
38,
39,
40,
46,
47
],
"goals": [
26,
37
]
} | {
"player": 9,
"boxes": [
18,
37
]
} | 20,260,923 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-002 | sokoban:96210f5b172297f122e38f2f5d553ec2c3fc71405f0b2667483dab043df8ba9b | test | {
"height": 6,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33
],
"goals": [
25,
26
]
} | {
"player": 9,
"boxes": [
16,
23
]
} | 20,260,924 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-005 | sokoban:b2f589f57c6243bb4fb0a28ef83006a3fc41a0e783e5ed5d8679084a1cb20ec0 | test | {
"height": 8,
"width": 6,
"floors": [
8,
9,
10,
13,
15,
16,
19,
20,
22,
25,
26,
27,
28,
31,
32,
33,
34,
38,
40
],
"goals": [
28
]
} | {
"player": 8,
"boxes": [
26
]
} | 20,260,928 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-006 | sokoban:2b987d29762978e0ab75cfff9eaeceffe3b03b1fc9160d14470b8d2478ed8017 | test | {
"height": 9,
"width": 8,
"floors": [
19,
20,
27,
28,
34,
35,
36,
37,
42,
43,
44,
45,
49,
50,
51,
52,
53,
57,
58,
59,
60,
61
],
"goals": [
35,
60
]
} | {
"player": 27,
"boxes": [
28,
58
]
} | 20,260,929 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-010 | sokoban:a343d11ed129af0b4e117066fe2c1ffd48556a3250d4b393b39bc4eba6e5fabd | test | {
"height": 8,
"width": 8,
"floors": [
17,
20,
25,
26,
28,
33,
34,
35,
36,
38,
41,
42,
43,
44,
45,
46,
49,
50,
51,
52,
53,
54
],
"goals": [
41,
43
]
} | {
"player": 46,
"boxes": [
34,
44
]
} | 20,260,949 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-011 | sokoban:6740c44bfb0650af9a3388a8c9c41b11b6f6b165928ad0d140161649b6dd0df8 | test | {
"height": 9,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
34,
37,
38,
39,
40,
43,
44,
45,
46
],
"goals": [
14,
19,
20
]
} | {
"player": 43,
"boxes": [
20,
21,
37
]
} | 20,260,950 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-012 | sokoban:c610761b33e613424d415d50493a6ef41c05d8d999eb6f096e8eeef6a5251bcf | test | {
"height": 7,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
34
],
"goals": [
8,
28
]
} | {
"player": 25,
"boxes": [
9,
15
]
} | 20,260,951 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-014 | sokoban:0adb030a2731f7fbcfc42255506385cd323baf862405e48b56cb7f87e6d00a46 | test | {
"height": 9,
"width": 9,
"floors": [
10,
14,
19,
20,
21,
22,
23,
28,
29,
30,
31,
32,
33,
37,
38,
39,
40,
41,
42,
43,
46,
47,
48,
49,
55,
56,
57,
64
],
"goals": [
21,
56
]
} | {
"player": 38,
"boxes": [
41,
56
]
} | 20,260,953 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-016 | sokoban:da92fe09ceaeb89a8340480c1cedad98eca53567a48e4842e9d320cf996aaeb2 | test | {
"height": 7,
"width": 8,
"floors": [
9,
10,
11,
12,
13,
14,
17,
18,
19,
20,
21,
22,
25,
26,
27,
28,
29,
30,
33,
34,
35,
36,
37,
38,
41,
42,
43,
44,
45,
46
],
"goals": [
13,
36,
... | {
"player": 43,
"boxes": [
19,
27,
36
]
} | 20,260,955 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-020 | sokoban:e5ecd8a4232ad6d214753678f5c43736366c2793ee8f115bb1641502be71a6cc | test | {
"height": 9,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
26,
27,
28,
31,
32,
33,
34,
37,
38,
39,
40,
43,
44,
45,
46
],
"goals": [
33,
40
]
} | {
"player": 37,
"boxes": [
22,
32
]
} | 20,260,976 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-021 | sokoban:f412d99b8fcb71f53de31d9cd817bd173888c2886a949cf3af51975c28a1e144 | test | {
"height": 6,
"width": 8,
"floors": [
9,
10,
11,
12,
13,
14,
17,
18,
19,
20,
21,
22,
25,
26,
27,
28,
29,
30,
33,
34,
35,
36,
37,
38
],
"goals": [
22,
25
]
} | {
"player": 28,
"boxes": [
19,
25
]
} | 20,260,977 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-023 | sokoban:2c5c1b462300a27346ca13293c5e80d7226944184ad3374181ce09e27bfd52b4 | test | {
"height": 6,
"width": 9,
"floors": [
10,
11,
12,
13,
15,
19,
20,
21,
22,
23,
24,
25,
28,
29,
30,
31,
32,
37,
38,
39,
40,
41,
42,
43
],
"goals": [
23,
29
]
} | {
"player": 19,
"boxes": [
29,
30
]
} | 20,260,979 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-024 | sokoban:a38c5b369c7e80f1aa1a740a3c659799d02c33c55d7718a8f45d669e84c04968 | test | {
"height": 7,
"width": 8,
"floors": [
13,
18,
20,
21,
22,
26,
27,
28,
29,
30,
33,
34,
35,
36,
37,
41,
42,
43,
44,
45,
46
],
"goals": [
27,
34
]
} | {
"player": 13,
"boxes": [
29,
37
]
} | 20,260,980 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-025 | sokoban:8015bbddb33c870e384addf53bfad215a9457f433d189d2d791b34a9bd2398ce | test | {
"height": 9,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
32,
33,
37,
40,
45,
46,
47,
52,
53,
54
],
"goals": [
18,
19
]
} | {
"player": 17,
"boxes": [
18,
23
]
} | 20,260,981 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-026 | sokoban:7e3fc4da56e80223563ffdf76b9d4fd9b5a2a5c76daf8084baeefc41a75c7350 | test | {
"height": 9,
"width": 9,
"floors": [
33,
40,
41,
42,
43,
48,
49,
50,
51,
52,
55,
56,
57,
58,
59,
60,
61,
66,
69
],
"goals": [
56
]
} | {
"player": 66,
"boxes": [
50
]
} | 20,260,982 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-030 | sokoban:a60bf2b0e98260f5b8e60f5e88e04e941c6be5568deb437aa7dfb30c10de1f4b | test | {
"height": 7,
"width": 9,
"floors": [
11,
12,
13,
14,
15,
16,
20,
21,
22,
23,
24,
25,
30,
31,
32,
33,
34,
37,
38,
39,
40,
41,
42,
43,
48,
49,
50,
52
],
"goals": [
13,
40
]
} | {
"player": 21,
"boxes": [
14,
31
]
} | 20,260,997 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-031 | sokoban:d8c5b79c85a3fc8422613421521e0ce37ffa0ea44a55590bff34ba7e1b010c13 | test | {
"height": 6,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33
],
"goals": [
11,
25,
30
]
} | {
"player": 15,
"boxes": [
10,
25,
31
]
} | 20,260,998 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-033 | sokoban:b0f1fb463f9c41b129aa6efa8ef3a67eb4cfa631aca7caa0b9806df5f746cf90 | test | {
"height": 7,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33,
36,
37,
38,
39,
40
],
"goals": [
16,
24,
32
]
} | {
"player": 40,
"boxes": [
16,
17,
31
]
} | 20,261,000 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-034 | sokoban:46709ecae29a29f0c56e886e73d45fb0c717e0ab21abd8b6d73122ffc6d30711 | test | {
"height": 7,
"width": 8,
"floors": [
9,
10,
11,
12,
13,
14,
17,
18,
19,
20,
21,
22,
25,
26,
27,
28,
29,
30,
33,
34,
35,
36,
37,
41,
42,
43,
44,
45
],
"goals": [
21,
33
]
} | {
"player": 43,
"boxes": [
18,
19
]
} | 20,261,001 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-036 | sokoban:b69b5b8995ebe87fe38ccb891a792860b63e228f2b2c4d5f4c2949ce2aef6ff4 | test | {
"height": 7,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
34
],
"goals": [
15,
19,
32
]
} | {
"player": 31,
"boxes": [
14,
15,
19
]
} | 20,261,004 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-041 | sokoban:76aa9a45773544cf9cd81abac6841a19e40a2da97cc72af3d56db75a7bc685da | test | {
"height": 7,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
34
],
"goals": [
13,
28
]
} | {
"player": 31,
"boxes": [
20,
27
]
} | 20,261,024 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-042 | sokoban:3438048303fe4a4f1dbcc782882310b1065a7096cbee913bcc85dabd529ce7c7 | test | {
"height": 9,
"width": 9,
"floors": [
10,
11,
12,
20,
29,
30,
37,
38,
47,
48,
49,
50,
51,
52,
55,
56,
57,
58,
59,
60,
64,
65,
66,
67,
68
],
"goals": [
38,
50,
65
]
} | {
"player": 51,
"boxes": [
47,
49,
58
]
} | 20,261,025 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-045 | sokoban:89f147dab500b520aa88f693029bbccd09acadd547f17dd78852c84f5c2ab281 | test | {
"height": 6,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33
],
"goals": [
11
]
} | {
"player": 11,
"boxes": [
23
]
} | 20,261,028 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-050 | sokoban:e1f6a67efd6b02d427983403c5156d4ee1da715cc2882cd0e2e46ef04a7eb1db | test | {
"height": 6,
"width": 8,
"floors": [
9,
10,
11,
13,
14,
17,
18,
19,
20,
21,
22,
25,
26,
27,
28,
29,
30,
33,
34,
35,
36,
37,
38
],
"goals": [
35,
36
]
} | {
"player": 30,
"boxes": [
29,
35
]
} | 20,261,034 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-051 | sokoban:b43e2140885812d16611ef9e849924e19fc9d92d5a307c4878f320f0579d564c | test | {
"height": 8,
"width": 7,
"floors": [
8,
9,
10,
11,
15,
16,
17,
18,
22,
23,
24,
25,
26,
30,
31,
32,
36,
37,
43,
44,
45,
46
],
"goals": [
16,
17,
25
]
} | {
"player": 37,
"boxes": [
17,
23,
24
]
} | 20,261,035 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-053 | sokoban:4aaefb6a1d5010377af8e8335485eb48e8a4433f85891862838f2b8efebc13fe | test | {
"height": 9,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
34,
37,
38,
39,
40,
43,
44,
46
],
"goals": [
33,
40
]
} | {
"player": 13,
"boxes": [
16,
21
]
} | 20,261,037 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-055 | sokoban:42c0d7ddd581f852828e654577b59b26cfe0e2484a22b1a5aa3f64a62d1e7cdd | test | {
"height": 7,
"width": 8,
"floors": [
10,
12,
13,
14,
18,
19,
20,
21,
22,
25,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
41,
42,
43,
44,
45,
46
],
"goals": [
20,
29,
36
]
} | {
"player": 42,
"boxes": [
21,
27,
29
]
} | 20,261,039 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-060 | sokoban:20cdcb3b3ad476ccd821196e41316c92ee1a61b82c065763600d5561e3b99563 | test | {
"height": 8,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
34,
37,
38,
39,
40
],
"goals": [
21,
28,
32
]
} | {
"player": 13,
"boxes": [
28,
32,
33
]
} | 20,261,076 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-061 | sokoban:23993dcb0f895d46df161e8aad64ea7037ac89800557f652591ad4ecdfbdd108 | test | {
"height": 6,
"width": 9,
"floors": [
10,
11,
12,
14,
15,
16,
20,
21,
22,
23,
24,
25,
29,
30,
31,
32,
33,
34,
37,
38,
39,
40,
41,
42,
43
],
"goals": [
11,
31,
32
]
} | {
"player": 43,
"boxes": [
11,
23,
32
]
} | 20,261,077 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-064 | sokoban:5245c24526d948a6f7c2212fc7b756c0ac6c56bba3d6df42b34bb453c1ebe0ba | test | {
"height": 7,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
34
],
"goals": [
16,
25,
32
]
} | {
"player": 19,
"boxes": [
14,
21,
33
]
} | 20,261,080 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-065 | sokoban:463b1dcae20fbb97a01af3d57534c21996b7f86359adaf4df516dfb3ba3c6f30 | test | {
"height": 9,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
38,
39,
40,
44,
45,
51
],
"goals": [
10,
17,
39
]
} | {
"player": 8,
"boxes": [
10,
17,
18
]
} | 20,261,081 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-066 | sokoban:c0fe29853eb09f011cf61e899dfb17d48587a6a001871385215ccec7012dae8c | test | {
"height": 6,
"width": 9,
"floors": [
10,
11,
12,
13,
14,
15,
16,
19,
20,
21,
22,
23,
24,
25,
28,
29,
30,
31,
32,
33,
34,
37,
38,
39,
40,
41,
42,
43
],
"goals": [
22,
33,
41
]
} | {
"player": 24,
"boxes": [
32,
33,
41
]
} | 20,261,082 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-070 | sokoban:b25d105032c87959f9503f8aa77c23075f1159bbf2f4758613b0c6b291353120 | test | {
"height": 7,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33,
36,
37,
38,
39,
40
],
"goals": [
17,
26,
33
]
} | {
"player": 38,
"boxes": [
23,
26,
32
]
} | 20,261,105 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-071 | sokoban:015799c1c52d28ef48fd124681e2b9d948c47208caeee3b6cc45b510d82be839 | test | {
"height": 6,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28
],
"goals": [
14
]
} | {
"player": 26,
"boxes": [
15
]
} | 20,261,106 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-073 | sokoban:6e34b4592cc77a6214fcf81192b61e2f4846e93cf6c15d2f2b6d7cc637d0dd1c | test | {
"height": 7,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
34
],
"goals": [
13,
14
]
} | {
"player": 14,
"boxes": [
20,
21
]
} | 20,261,109 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-074 | sokoban:bd0d3b065326d5b4042c062d3a5a2c4c1d68f4981de00ac1973c06305a4c67f3 | test | {
"height": 8,
"width": 7,
"floors": [
9,
10,
12,
15,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33,
36,
37,
38,
39,
40,
43,
44,
45,
46,
47
],
"goals": [
24,
25
]
} | {
"player": 39,
"boxes": [
24,
37
]
} | 20,261,110 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-076 | sokoban:b47d8f6f649a9bde91199bcf5dcf194d552e1eecd6934390782f7f046ec7ffde | test | {
"height": 7,
"width": 7,
"floors": [
8,
9,
10,
11,
15,
16,
17,
18,
19,
23,
24,
25,
26,
29,
30,
31,
32,
33,
36,
37,
38,
39,
40
],
"goals": [
9,
10
]
} | {
"player": 15,
"boxes": [
25,
31
]
} | 20,261,112 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-080 | sokoban:7bedb7ec5cdbece010492af7016edb906d6a9302b63346c86eb807d12737fd53 | test | {
"height": 6,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28
],
"goals": [
20,
22
]
} | {
"player": 22,
"boxes": [
16,
20
]
} | 20,261,137 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-081 | sokoban:fc896d18f38b2716e54421b896ea6d3c8f940d3b464c1d40564d3752b2dacaf7 | test | {
"height": 8,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33,
36,
37,
38,
39,
40,
43,
44,
45,
46,
47
],
"goals": [
16,
45,
... | {
"player": 43,
"boxes": [
23,
30,
46
]
} | 20,261,138 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-082 | sokoban:acb9ac962b5417b4421f469527e7492363104e0c3496418cec626c67dda43a4f | test | {
"height": 6,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28
],
"goals": [
19,
26
]
} | {
"player": 10,
"boxes": [
14,
15
]
} | 20,261,140 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-083 | sokoban:564ba915b18ce19c9eccd461374d8c477e4eb0f7d4971ec631e1c5a0d4ff491f | test | {
"height": 8,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
24,
25,
26,
29,
30,
31,
33,
36,
38,
39,
43
],
"goals": [
9,
10
]
} | {
"player": 39,
"boxes": [
17,
18
]
} | 20,261,141 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-084 | sokoban:1996a693e23c88973e4863e09382d34f4b71f0fa1411e45758ee83d3a8f48a49 | test | {
"height": 7,
"width": 9,
"floors": [
12,
13,
15,
16,
21,
22,
23,
24,
25,
28,
29,
31,
32,
33,
34,
37,
38,
39,
40,
41,
42,
43,
46,
47,
48,
49,
50,
51,
52
],
"goals": [
24,
37,
43
]... | {
"player": 25,
"boxes": [
31,
32,
40
]
} | 20,261,142 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-085 | sokoban:0ab42fe198151eaf95788914af2cc241633f3c569d6628438064e412240d3310 | test | {
"height": 9,
"width": 8,
"floors": [
18,
20,
25,
26,
27,
28,
29,
33,
35,
36,
37,
38,
41,
43,
44,
45,
46,
49,
50,
51,
52,
53,
54,
57,
58,
59,
60,
61,
62
],
"goals": [
41,
43,
44
]... | {
"player": 25,
"boxes": [
36,
52,
53
]
} | 20,261,143 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-086 | sokoban:62911120f8feee2023beb6da85b077797d6b2015864ed889ffac2ebb2af99048 | test | {
"height": 8,
"width": 9,
"floors": [
13,
14,
15,
16,
21,
22,
23,
24,
25,
31,
32,
33,
34,
40,
41,
42,
43,
50,
51,
57,
58,
59,
60,
61
],
"goals": [
22,
59
]
} | {
"player": 22,
"boxes": [
24,
31
]
} | 20,261,144 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-090 | sokoban:5ae88afab3fe474f368e89bed7e2e2d248348f85698c697fd84e0c712c975b10 | test | {
"height": 8,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
38,
39,
40
],
"goals": [
22,
39
]
} | {
"player": 26,
"boxes": [
16,
33
]
} | 20,261,188 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-093 | sokoban:aa463d6e45c3bc993979cea0da349f0a8716e4d98a8c55d991cbf428d432cf43 | test | {
"height": 7,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33,
36,
37,
38,
39,
40
],
"goals": [
23,
37
]
} | {
"player": 26,
"boxes": [
17,
32
]
} | 20,261,191 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-094 | sokoban:b66052a3c9ec940354c2561603e0c2cda4e25db44e4d20b35fd193095d075f91 | test | {
"height": 7,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
30,
31,
32,
33,
38,
39,
40
],
"goals": [
10
]
} | {
"player": 9,
"boxes": [
32
]
} | 20,261,193 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-095 | sokoban:1342d472171124b23d5ad670865cc10d301478b04f0a405f3cb242f2b9cd3135 | test | {
"height": 9,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33,
36,
37,
38,
39,
40,
43,
44,
45,
46,
51,
53
],
"goals": [
22,
... | {
"player": 53,
"boxes": [
16,
17,
36
]
} | 20,261,194 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-096 | sokoban:858ed7c13df240fbf9df1a9d3a0b61427931bac87d9a36cf7d627f9b4fc426fe | test | {
"height": 8,
"width": 9,
"floors": [
11,
12,
13,
19,
20,
21,
28,
29,
30,
32,
37,
38,
39,
40,
41,
42,
43,
46,
47,
48,
49,
50,
51,
52,
55,
56,
58,
59,
60,
61
],
"goals": [
12,
21,
... | {
"player": 48,
"boxes": [
20,
49,
51
]
} | 20,261,195 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-100 | sokoban:42bbcd317e81fa995996772dbaa395976f5be8373bb3a322ceda8fada9d242cf | test | {
"height": 6,
"width": 8,
"floors": [
9,
10,
11,
12,
13,
14,
17,
18,
19,
20,
21,
22,
25,
26,
27,
28,
29,
30,
34,
37
],
"goals": [
13,
28
]
} | {
"player": 26,
"boxes": [
10,
28
]
} | 20,261,214 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-101 | sokoban:2cd39c7c305198688869204a2251c1cc5353c6ba3c0ab24f2d5ec28138ea7138 | test | {
"height": 8,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
34,
37,
38,
39,
40
],
"goals": [
13,
33
]
} | {
"player": 37,
"boxes": [
31,
33
]
} | 20,261,215 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-102 | sokoban:e3d8caf11671e2d908629bf81aade5c75fdd01b526b6ffb506649a89664a917b | test | {
"height": 6,
"width": 9,
"floors": [
11,
12,
13,
14,
15,
19,
20,
21,
22,
23,
24,
25,
28,
30,
31,
32,
33,
34,
37,
38,
39,
40,
41,
42,
43
],
"goals": [
21
]
} | {
"player": 20,
"boxes": [
33
]
} | 20,261,216 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-103 | sokoban:47935a5e7fe0306c1d0fc746690fbc821b5fc323c592c0d2247fb9aec77e76d1 | test | {
"height": 6,
"width": 8,
"floors": [
9,
10,
11,
12,
13,
18,
19,
20,
21,
22,
25,
26,
27,
28,
29,
30,
35,
36,
37,
38
],
"goals": [
18,
37
]
} | {
"player": 12,
"boxes": [
27,
36
]
} | 20,261,217 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-104 | sokoban:18eb4bac9b8ae20e7e1c8abd185357919ed780742154eefd73bebba3cb329e8f | test | {
"height": 9,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
34,
37,
38,
39,
40,
44,
45
],
"goals": [
9,
15,
33
]
} | {
"player": 26,
"boxes": [
8,
21,
39
]
} | 20,261,218 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-110 | sokoban:63e9eb6d52aaa7c24df7d24f2ebdcbd0933867c6614b2bb36750fa5e02bcf4c2 | test | {
"height": 6,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33
],
"goals": [
9,
22,
31
]
} | {
"player": 32,
"boxes": [
22,
24,
25
]
} | 20,261,241 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-111 | sokoban:80dc0542c4b4564e1a7dd74abb4ed77392ebdde69ba4fb10ad67104029ff8587 | test | {
"height": 6,
"width": 9,
"floors": [
10,
11,
12,
13,
14,
15,
16,
19,
20,
21,
22,
23,
24,
25,
28,
29,
30,
31,
32,
33,
34,
37,
38,
39,
40,
41,
42,
43
],
"goals": [
12,
21,
25
]
} | {
"player": 43,
"boxes": [
22,
24,
32
]
} | 20,261,242 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-113 | sokoban:0dedbe5c724ac3cc4d1052da4d304d7a433a5cec1826bb4731e1269b3d8b92b7 | test | {
"height": 8,
"width": 7,
"floors": [
9,
10,
11,
12,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33,
36,
37,
38,
39,
40,
43,
44,
45,
46
],
"goals": [
38,
39
]
} | {
"player": 9,
"boxes": [
17,
18
]
} | 20,261,244 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-114 | sokoban:7a127d219b8539c5e2d34d3235069c37911fea08052675f9014a12e18dfbc635 | test | {
"height": 9,
"width": 8,
"floors": [
9,
10,
11,
12,
13,
14,
17,
18,
19,
20,
21,
22,
26,
28,
29,
30,
33,
34,
35,
42,
49,
50
],
"goals": [
10,
26
]
} | {
"player": 50,
"boxes": [
11,
19
]
} | 20,261,245 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-121 | sokoban:4dc426985c7b3e491b8ce0380fa3f39f1e6dd070f80fe9b13169fdc049f4496b | test | {
"height": 7,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
34
],
"goals": [
16,
22,
25
]
} | {
"player": 8,
"boxes": [
16,
20,
28
]
} | 20,261,257 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-122 | sokoban:50841741e49e03ace8deaeb1b84736226c183ca5dc6a58e9760c31a200ca832c | test | {
"height": 9,
"width": 9,
"floors": [
20,
29,
30,
32,
33,
37,
38,
39,
40,
41,
42,
46,
47,
48,
49,
55,
56,
57,
58,
59,
64,
65,
66,
67
],
"goals": [
38,
46
]
} | {
"player": 32,
"boxes": [
56,
57
]
} | 20,261,258 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-123 | sokoban:761db96ddb2d1c32dd6dca4bb271c44505048b6ac10a7dd1ed523cb7ced3840b | test | {
"height": 8,
"width": 8,
"floors": [
10,
11,
12,
13,
14,
17,
18,
19,
20,
21,
22,
25,
26,
27,
28,
29,
30,
33,
37,
38,
46
],
"goals": [
18,
21
]
} | {
"player": 18,
"boxes": [
21,
29
]
} | 20,261,259 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-124 | sokoban:e07312af79bb2aeff73968808b78a3487bc0acd6a8be1c5748bb2335e3900ad6 | test | {
"height": 7,
"width": 8,
"floors": [
9,
10,
11,
12,
13,
14,
17,
18,
19,
20,
21,
22,
25,
26,
27,
29,
33,
34,
35,
36,
37,
38,
41,
42,
43,
44,
45,
46
],
"goals": [
20,
26
]
} | {
"player": 11,
"boxes": [
26,
34
]
} | 20,261,260 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-125 | sokoban:e22a26e38667a4b56e0e13c9895be3cd2aa6fa4e2cbd177af5178570d7c36bd2 | test | {
"height": 6,
"width": 9,
"floors": [
10,
11,
12,
13,
14,
15,
16,
19,
20,
21,
22,
23,
24,
25,
28,
29,
30,
31,
32,
33,
34,
37,
38,
39,
40,
41,
42,
43
],
"goals": [
12,
40
]
} | {
"player": 19,
"boxes": [
11,
42
]
} | 20,261,262 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-126 | sokoban:20015296b0af89754092f5836a33b5dd65ca2281a4109c5aed073c3738fbd9d4 | test | {
"height": 7,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33,
36,
37,
38,
39,
40
],
"goals": [
22,
29
]
} | {
"player": 26,
"boxes": [
16,
24
]
} | 20,261,263 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-130 | sokoban:540b40bd6414f396419e8f0c58b8b1b7fb17c9d16f3458fb7b820ab4979c858f | test | {
"height": 6,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28
],
"goals": [
8,
19
]
} | {
"player": 25,
"boxes": [
14,
21
]
} | 20,261,300 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-131 | sokoban:b91e1530727a54319febefe6e598d6f7c34de6bb22890fc05a20ad56764b0422 | test | {
"height": 7,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
34
],
"goals": [
9,
27
]
} | {
"player": 22,
"boxes": [
14,
15
]
} | 20,261,301 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-133 | sokoban:e74042a36738cae133fdad2606358d763812aec07b25e008d5f1174395933141 | test | {
"height": 6,
"width": 9,
"floors": [
13,
14,
15,
16,
19,
20,
21,
22,
23,
24,
25,
29,
30,
31,
32,
33,
34,
37,
38,
39,
40,
41,
42,
43
],
"goals": [
21,
41
]
} | {
"player": 19,
"boxes": [
24,
31
]
} | 20,261,303 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-134 | sokoban:34cf7ec0e710a4851c5815650667c73d1b211071a083b6d1b49ef9a25ecfa58b | test | {
"height": 6,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33
],
"goals": [
15,
26
]
} | {
"player": 12,
"boxes": [
22,
23
]
} | 20,261,304 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-141 | sokoban:6570e1682f5d362e14c286940ec504d8d9e0e31c2df628e5d1dc9f200c77db52 | test | {
"height": 7,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33,
36,
37,
38,
39,
40
],
"goals": [
25,
32
]
} | {
"player": 8,
"boxes": [
16,
31
]
} | 20,261,315 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-142 | sokoban:c227cf37d3499c2120da3b55dbd6b8bc6902e7738121ee4e35268a912d17be8b | test | {
"height": 8,
"width": 8,
"floors": [
9,
10,
17,
18,
19,
20,
25,
26,
28,
29,
30,
33,
34,
35,
36,
37,
41,
42,
44,
50,
51,
52,
53
],
"goals": [
26,
33,
42
]
} | {
"player": 10,
"boxes": [
18,
33,
34
]
} | 20,261,316 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-143 | sokoban:9e1165915778cd95a287cfeef8e3c53f53f59c904bee9be2a23aacd733102ad1 | test | {
"height": 9,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
34,
37,
38,
39,
40,
43,
44,
45,
46
],
"goals": [
31,
34,
39
]
} | {
"player": 21,
"boxes": [
13,
15,
33
]
} | 20,261,317 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-145 | sokoban:155354eb1574655d5a3893479903825b13b18536403d416e6d654fa61817e4ff | test | {
"height": 9,
"width": 7,
"floors": [
9,
16,
23,
24,
30,
31,
32,
36,
37,
38,
39,
40,
43,
44,
45,
46,
47,
51,
52,
53,
54
],
"goals": [
16,
47
]
} | {
"player": 9,
"boxes": [
31,
46
]
} | 20,261,319 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-150 | sokoban:f3a13bafd639f21760c0be7d66773db145d20e87ca9c678a5a948811463f35d9 | test | {
"height": 7,
"width": 9,
"floors": [
10,
19,
21,
28,
29,
30,
31,
32,
33,
37,
39,
40,
41,
42,
46,
47,
48,
49
],
"goals": [
48
]
} | {
"player": 33,
"boxes": [
39
]
} | 20,261,338 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-151 | sokoban:8dbb21e433cfc0ef05ee9addbaee50818c6d7da00de87c21f5038c01ee904199 | test | {
"height": 6,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33
],
"goals": [
17,
25,
26
]
} | {
"player": 23,
"boxes": [
18,
19,
25
]
} | 20,261,339 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-152 | sokoban:8ed3d7e2534aea0ba1838bab646b25cc65ad914194d2c617f74541a96a91df11 | test | {
"height": 9,
"width": 7,
"floors": [
11,
12,
18,
19,
23,
25,
26,
29,
30,
31,
32,
33,
37,
38,
39,
40,
45,
46,
47,
51,
52,
53
],
"goals": [
39,
52
]
} | {
"player": 32,
"boxes": [
18,
31
]
} | 20,261,340 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-153 | sokoban:9ee1630bef18caed154db6738ca8f2bac22ad47c87e266419d3ee45216bda3cb | test | {
"height": 8,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
34,
37,
38,
39,
40
],
"goals": [
16,
21
]
} | {
"player": 20,
"boxes": [
28,
32
]
} | 20,261,341 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-154 | sokoban:4d8aaad09895d039343ead79f67c1ef55a4fe067ac75b5dd9f4828139b87a960 | test | {
"height": 7,
"width": 9,
"floors": [
10,
11,
12,
13,
19,
20,
21,
22,
23,
24,
25,
28,
29,
31,
32,
34,
37,
38,
39,
40,
41,
42,
43,
46,
49,
50,
51,
52
],
"goals": [
21,
50
]
} | {
"player": 12,
"boxes": [
24,
39
]
} | 20,261,342 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-155 | sokoban:457c5abe3a3190a071cc31a0ff968f36a08af67dc109059cd5cb8286ca8c888c | test | {
"height": 6,
"width": 8,
"floors": [
9,
10,
11,
12,
13,
14,
17,
18,
19,
20,
21,
22,
25,
26,
27,
28,
29,
30,
33,
34,
35,
36,
37,
38
],
"goals": [
19,
37
]
} | {
"player": 37,
"boxes": [
28,
36
]
} | 20,261,343 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-156 | sokoban:60ebfa957506bebe5c4014d8b20df9606f159bef95fd44e4d211150726cfb912 | test | {
"height": 9,
"width": 8,
"floors": [
9,
10,
11,
12,
13,
17,
18,
19,
20,
21,
22,
26,
27,
30,
35,
36,
41,
42,
43,
50,
51,
52,
59
],
"goals": [
19,
20,
51
]
} | {
"player": 12,
"boxes": [
18,
19,
20
]
} | 20,261,344 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-160 | sokoban:a4b7b2df836a6d11a4eb93453609878b1bfed491a0652d3c630e73fe0c5d5b1f | test | {
"height": 6,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33
],
"goals": [
18,
25
]
} | {
"player": 31,
"boxes": [
16,
24
]
} | 20,261,366 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-161 | sokoban:7c37823c3cb5b365a9c96d35d9156f31260339fa8fb60acb31c4e19d35041c1d | test | {
"height": 8,
"width": 8,
"floors": [
9,
10,
11,
12,
17,
18,
19,
20,
21,
25,
26,
27,
28,
29,
33,
34,
35,
41,
42,
43,
50
],
"goals": [
11,
27
]
} | {
"player": 28,
"boxes": [
11,
26
]
} | 20,261,368 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-162 | sokoban:071341444bd23226626a63d0170fba803a118dadb274778cbc84db7edf3c1dd5 | test | {
"height": 8,
"width": 8,
"floors": [
9,
10,
14,
17,
18,
19,
22,
25,
26,
27,
28,
30,
33,
34,
35,
36,
37,
38,
41,
42,
43,
44,
45,
49,
50,
51,
52,
53,
54
],
"goals": [
41,
44,
53
]
... | {
"player": 35,
"boxes": [
26,
27,
50
]
} | 20,261,369 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-163 | sokoban:da459b20881ab573f70aadde86092c7f76fbecece8fadddb0b540f6c2fb60ade | test | {
"height": 9,
"width": 8,
"floors": [
27,
30,
34,
35,
36,
37,
38,
42,
43,
44,
45,
46,
50,
51,
52,
53,
54,
59,
60,
61,
62
],
"goals": [
37
]
} | {
"player": 30,
"boxes": [
43
]
} | 20,261,371 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-164 | sokoban:a3197b221b506c6e449b0b7019c875fcf33d98377bf7a8299fb495b5427f2ef5 | test | {
"height": 6,
"width": 9,
"floors": [
10,
11,
12,
13,
14,
15,
19,
20,
21,
22,
23,
24,
25,
29,
30,
31,
32,
33,
34,
38,
39,
40,
41,
42,
43
],
"goals": [
20,
29,
40
]
} | {
"player": 43,
"boxes": [
21,
31,
33
]
} | 20,261,375 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-166 | sokoban:c856bdb2370d025dd4a711f6d5e15653e62e58f2c96751b810609fbb8a9c5fee | test | {
"height": 7,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33,
36,
37,
38,
39,
40
],
"goals": [
32
]
} | {
"player": 40,
"boxes": [
16
]
} | 20,261,377 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-170 | sokoban:5bfdbc1214296fb83f1a53891f07310ee7e5062564a52874c2dabc7586f36a6f | test | {
"height": 8,
"width": 7,
"floors": [
9,
10,
15,
16,
19,
22,
23,
25,
26,
30,
31,
32,
33,
36,
37,
38,
39,
40,
44,
45,
46,
47
],
"goals": [
23,
31
]
} | {
"player": 44,
"boxes": [
30,
39
]
} | 20,261,382 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-172 | sokoban:03c01de692d3505efa386c8a6aa049e93680300b6f005b6dfa49592b189bdee5 | test | {
"height": 6,
"width": 9,
"floors": [
10,
11,
12,
13,
14,
15,
16,
19,
20,
21,
22,
23,
24,
25,
28,
29,
30,
31,
32,
33,
34,
37,
38,
39,
40,
41,
42,
43
],
"goals": [
11,
14,
25
]
} | {
"player": 11,
"boxes": [
14,
20,
32
]
} | 20,261,384 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-175 | sokoban:1b477cf45c4dce9fcd757816103623ad8f3d87715538dba70bd5d83470992bbb | test | {
"height": 8,
"width": 6,
"floors": [
7,
8,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28,
31,
32,
33,
34,
37,
38,
39,
40
],
"goals": [
19,
26
]
} | {
"player": 40,
"boxes": [
14,
20
]
} | 20,261,387 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-176 | sokoban:9c55fc730e19c2c6458ce37630d04a9b5dc298ea7d357f79d81e0c1665271414 | test | {
"height": 7,
"width": 8,
"floors": [
9,
10,
11,
12,
13,
14,
18,
21,
22,
26,
28,
29,
30,
33,
34,
35,
36,
37,
38,
42,
44,
45,
46
],
"goals": [
30
]
} | {
"player": 29,
"boxes": [
35
]
} | 20,261,388 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-180 | sokoban:fedf9958ac1f960eb01864135f88c4fc497319e775ea796e187b96fb1fbac6a6 | test | {
"height": 7,
"width": 8,
"floors": [
9,
10,
11,
12,
13,
14,
17,
18,
19,
20,
21,
22,
25,
26,
27,
28,
29,
30,
33,
34,
35,
36,
37,
38,
41,
42,
43,
44,
45,
46
],
"goals": [
12,
17,
... | {
"player": 46,
"boxes": [
17,
20,
29
]
} | 20,261,414 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-181 | sokoban:1b7da96dcf2621c6ca5fa1ebe4014a461a2a8b91f2559c31341ffa2bad9fc00b | test | {
"height": 7,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33,
36,
37,
38,
39,
40
],
"goals": [
10,
39
]
} | {
"player": 22,
"boxes": [
9,
38
]
} | 20,261,415 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-182 | sokoban:a351d5678e74bcc88ca6a5497c769b4c50d611ab43b0ff69ab54d2fbf9300196 | test | {
"height": 9,
"width": 7,
"floors": [
10,
11,
18,
23,
24,
25,
26,
30,
31,
32,
33,
36,
37,
38,
39,
40,
43,
45,
46,
47,
50,
51,
52,
53,
54
],
"goals": [
32,
51,
53
]
} | {
"player": 26,
"boxes": [
31,
38,
52
]
} | 20,261,416 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-184 | sokoban:ba8e2d2e2a381575604e2c69c91b9bd474cc49a27dabb9811c3344aa9837f9d9 | test | {
"height": 6,
"width": 9,
"floors": [
10,
12,
13,
14,
15,
16,
19,
20,
21,
22,
23,
24,
25,
28,
29,
30,
31,
32,
33,
34,
37,
38,
39,
42,
43
],
"goals": [
32,
34
]
} | {
"player": 15,
"boxes": [
22,
33
]
} | 20,261,418 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | zh | 200 |
sokoban-test-185 | sokoban:1df91755aeb64bb5dfcea0658fcdb451e1b74e01a3d906fda186010b768b8d93 | test | {
"height": 9,
"width": 6,
"floors": [
8,
9,
15,
16,
19,
20,
22,
25,
26,
27,
28,
31,
32,
33,
34,
37,
38,
39,
40,
43,
44,
45,
46
],
"goals": [
27,
37
]
} | {
"player": 46,
"boxes": [
26,
32
]
} | 20,261,419 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-186 | sokoban:8d41a74331e5866020c8da1124f96deb3e20902b45649cb7fa4454299a10bf72 | test | {
"height": 9,
"width": 8,
"floors": [
9,
10,
11,
12,
13,
14,
17,
19,
20,
21,
22,
27,
29,
30,
36,
37,
38,
43,
44,
51,
59
],
"goals": [
11,
21
]
} | {
"player": 17,
"boxes": [
10,
29
]
} | 20,261,420 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-190 | sokoban:53112234e29ebee0fd07a8cc1835f67c0e809cb71bfc0062814fb8648ae27f43 | test | {
"height": 9,
"width": 9,
"floors": [
10,
11,
12,
13,
19,
20,
21,
22,
23,
28,
29,
30,
31,
32,
37,
38,
39,
40,
41,
42,
46,
47,
48,
51,
56,
57,
58,
59,
65,
67
],
"goals": [
30,
31,
... | {
"player": 22,
"boxes": [
30,
31,
39
]
} | 20,261,425 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | zh | 200 |
sokoban-test-191 | sokoban:5eb128d5b5661ad04a0276287c3b1a0ef8ea983e923b556438b6f5d52b8f948e | test | {
"height": 7,
"width": 8,
"floors": [
9,
10,
11,
12,
13,
14,
17,
18,
19,
20,
21,
22,
25,
26,
27,
28,
29,
30,
33,
34,
35,
36,
37,
38,
41,
42,
43,
44,
45,
46
],
"goals": [
17,
22,
... | {
"player": 20,
"boxes": [
21,
27,
38
]
} | 20,261,426 | sokoban-v1 | {
"theme": "classic",
"tile_size": 44
} | en | 200 |
sokoban-test-193 | sokoban:c85b78b909ee8af1f41aea182dff6339692ec1bc19bfb53f4012a0bc3543d68b | test | {
"height": 6,
"width": 7,
"floors": [
8,
9,
10,
11,
12,
15,
16,
17,
18,
19,
22,
23,
24,
25,
26,
29,
30,
31,
32,
33
],
"goals": [
22,
26
]
} | {
"player": 26,
"boxes": [
16,
18
]
} | 20,261,428 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
sokoban-test-195 | sokoban:381c8448a57dd70c3f4bf7fc04c2db93ae9ecc4f8935dd16e413aba25120b7bd | test | {
"height": 6,
"width": 6,
"floors": [
7,
8,
9,
10,
13,
14,
15,
16,
19,
20,
21,
22,
25,
26,
27,
28
],
"goals": [
15,
19,
21
]
} | {
"player": 25,
"boxes": [
13,
14,
21
]
} | 20,261,430 | sokoban-v1 | {
"theme": "warm",
"tile_size": 44
} | en | 200 |
Valen-Eval-Game
GitHub Β· δΈζ README Β· Preview model Β· Technical notes
β¨ Introduction
Valen brings visual perception to System One decision-making: text, images or video in, candidate probabilities out. This dataset supplies Sokoban screenshots and solver-derived action targets for training and evaluating visual decisions.
It contains 30,000 single-step training examples from 3,100 layouts, plus 100 complete-game evaluation levels and 500 single-step evaluation questions sampled from those same test levels. Despite the repository name, it includes both training and evaluation data in separate directories.
The objective is to push all boxes onto goals using the fewest total movement actions. Actions are up, down, left and right. Players can push one box but cannot pull boxes, pass through walls or push two boxes together. Invalid actions consume a step without changing the state.
π₯ Dataset downloads
| Dataset | Role | Download |
|---|---|---|
| Valen-Training-General-100k | 100k training records | π€ Hugging Face |
| Valen-Eval-General-5k | 5k evaluation records | π€ Hugging Face |
| Valen-Eval-Game | Sokoban training and evaluation | π€ This repository |
Images are packaged in two ZIP archives. Extract training images into train_sokoban/ and test images into eval_sokoban/, as shown below. Full-game evaluation renders each state from the level definitions.
π Dataset composition
| Split | Contents | Use |
|---|---|---|
| Training actions | 30,000 records from 3,100 layouts | SFT or RLCD training |
| Complete-game evaluation | 100 levels: 35 easy, 65 medium | Success rate, at most 200 actions per game |
| Single-step evaluation | 500 questions from the same 100 test levels | Optimal-action accuracy |
Single-step accuracy and complete-game success rate measure different behavior. The two evaluation files share layouts; they are not independent test sets.
π Quick start
Download the dataset and extract both image archives:
hf download Valen-Team/Valen-Eval-Game \
--repo-type dataset --local-dir data/Valen-Eval-Game
unzip -n data/Valen-Eval-Game/train_sokoban/assets.zip -d data/Valen-Eval-Game/train_sokoban
unzip -n data/Valen-Eval-Game/eval_sokoban/single_step_assets.zip -d data/Valen-Eval-Game/eval_sokoban
To run a model, install the Valen environment and download both Valen-Preview-0923 and its Qwen3.5-2B base. Run the evaluator below from the Valen checkout. The checkpoint's config.json must point to the local base weights.
Repository layout
train_sokoban/
train.jsonl # 30,000 image-conditioned next_action records
assets/ # 30,000 PNG screenshots
levels.jsonl # 3,100 training layouts and initial reference solutions
manifest.json # Original training configuration, statistics and hashes
validation_report.json # Original historical validation report; see note below
eval_sokoban/
levels.jsonl # 100 complete-game initial states
reference.jsonl # Optimal solutions and evaluator-only reference metadata
manifest.json # Added during packaging for this current test split
single_step.jsonl # 500 next_action test questions from the same 100 games
single_step_assets/ # 500 test-state screenshots
single_step_manifest.json
dataset_info.json # Current export statistics and audit results
data_manifest.json # Data-file SHA-256 hashes and sizes
README.md
card-assets/ # Dataset-card branding and community QR code
Original data files are copied without changing records, images, labels or relative paths. The evaluation source directory had no manifest.json; this export adds one derived from its current files so that the Valen evaluator can load the exported split.
Version note: the current source eval_sokoban directory contains 100 levels, not the historical 200-game set. Its current difficulty distribution is {'easy': 35, 'medium': 65}. The retained train_sokoban/validation_report.json was produced earlier and refers to 200 test games; it is historical evidence for the training data, not the size or audit report of this export. Current export checks are in dataset_info.json.
Training split
Each example has one screenshot and exactly one next_action choice question. No auxiliary questions are included. Chinese and English each account for 15,000 examples.
| State source | Records | Share |
|---|---|---|
| Optimal trajectory | 24,000 | 80% |
| Solvable deviation | 4,500 | 15% |
| Failure correction | 1,500 | 5% |
Solvable-deviation examples are states reached after a nonoptimal action that remain solvable. Failure-correction examples supervise the solvable state before a certified failing action, with the failing transition and deadlock certificate retained as hidden metadata. They do not label an impossible recovery action from an irreversible deadlock.
Labels represent all move-optimal next actions. If several actions tie, they share probability mass equally; any action in the optimal set is correct. There are 4,378 examples with multiple optimal actions.
| Remaining optimal distance | Examples |
|---|---|
| Easy: 1β10 moves | 19,403 |
| Medium: 11β30 moves | 10,328 |
| Hard: more than 30 moves | 269 |
Boards range from 6Γ6 to 9Γ9 with one to three boxes. Screenshots use the classic or warm theme. The legend is included in each request. Optimal labels and solutions were generated using exact reverse multi-source BFS over Sokoban states, with a 20,000-state search budget and depth limit of 80. Discovered distances are exact; an unseen state is not automatically considered unsolvable.
Record fields
| Field | Description |
|---|---|
request.state.messages |
Rules, visual legend and a current-state image reference |
request.questions.next_action |
A choice question whose candidates are the four directions |
targets.next_action.probabilities |
Optimal-action probability distribution |
assets |
Screenshot path and SHA-256 |
group_id |
Canonical board-layout group |
meta |
Language, source, symbolic state, distances, reference actions and provenance |
Only request is model input. Targets, symbolic states, reference paths and correctness certificates remain outside the prompt. Image paths such as assets/005810.png resolve relative to train_sokoban/, where train.jsonl is located, not the repository root.
import json
from pathlib import Path
from PIL import Image
root = Path("data/Valen-Eval-Game") / "train_sokoban"
with (root / "train.jsonl").open(encoding="utf-8") as stream:
record = json.loads(next(stream))
optimal_actions = [a for a, p in
record["targets"]["next_action"]["probabilities"].items() if p > 0]
with Image.open(root / record["assets"][0]["path"]) as image:
print(image.size, optimal_actions)
Complete-game evaluation
The evaluation split contains 100 games, with 35 easy and 65 medium initial states. Optimal solutions range from 3 to 26 moves (mean 11.83). Each game has a maximum budget of 200 actions.
levels.jsonl specifies the board, initial player and box positions, rendering settings, language and step budget. Board positions are flattened indices, row * width + column. reference.jsonl stores optimal solution actions, lengths and push counts for the evaluator. Full-game definitions store symbolic initial states: render the current board at every step. The separate single-step evaluation file provides fixed screenshots of sampled reference-trajectory states.
The published Preview model card describes this as a selected set that retained all successful 2B RLCD cases before filling to 100. Report results as performance on this selected subset, not as an unbiased full benchmark. The single-step questions inherit the same level selection.
The intended protocol is:
- Reset to the listed initial state.
- Render the current board and ask the model for one next action using the image and rules.
- Execute that action in the environment and repeat with the updated image.
- End on success or the action/time budget; make one attempt per game.
Do not provide reference trajectories, symbolic states, legal-action masks, automatic undo or solver assistance to the model. Report full-game success rate separately from single-step optimal-action accuracy. Any deterministic prediction cache must match the exact visible input and preserve every environment transition; report cache settings when used.
Use the Valen evaluator
The simulator and evaluation code live in the Valen code repository, under evaluation/sokoban/; this repository contains the dataset. From a configured Valen checkout:
GAME_DATA=data/Valen-Eval-Game
# Oracle replay checks the environment and data; it is not a model score.
.venv/bin/python -m evaluation.sokoban.evaluate \
--eval-dir "$GAME_DATA/eval_sokoban" \
--policy oracle --output output/sokoban_export_oracle
# Evaluate a Valen checkpoint on all exported games.
.venv/bin/python -m evaluation.sokoban.evaluate \
--eval-dir "$GAME_DATA/eval_sokoban" \
--policy valen --checkpoint /path/to/checkpoint \
--output output/sokoban_export_model
Use a fresh output directory for each run. Set the training configuration's data field to the absolute path of train_sokoban/train.jsonl; keep its neighboring assets directory intact.
Single-step evaluation
eval_sokoban/single_step.jsonl contains 500 image-conditioned next_action questions from the same 100 full-game test levels. Images resolve relative to eval_sokoban/, under single_step_assets/.
Sampling allocates approximately five questions per level and selects nonterminal states spaced along its optimal reference trajectory. Short trajectories contribute fewer questions and unused quota is redistributed; the actual allocation is 3β6 questions per level, totaling 500. The set contains 276 Chinese and 224 English questions.
The record format matches training examples. An answer is correct if its target probability is positive; all equally optimal actions are accepted. Model input is only request. Report single-step action accuracy separately from full-game success rate: these two tests share layouts and are not independent splits. They inherit the selection properties of the supplied 100-game set.
The original source validation report (not included in this Hub export) reports independent forward-BFS checks of all 500 distances and complete optimal-action sets, image validation and zero overlap with training layouts. Packaging additionally verified record schemas, image hashes, per-level quotas and source-file hashes. Export statistics are in dataset_info.json; sampling details are in eval_sokoban/single_step_manifest.json.
From a configured Valen checkout, generate predictions for all 500 questions:
python -m valen.inference \
--checkpoint models/Valen-Preview-0923 \
--data data/Valen-Eval-Game/eval_sokoban/single_step.jsonl \
--output sokoban_single_step_predictions.jsonl
Prediction rows follow input order. Compare each answers.next_action.choice with the corresponding record's targets.next_action.probabilities: it is correct whenever that action has positive target probability. Count all 500 questions and accept every tied optimal action. The generic valen.evaluate accuracy metric covers only one-hot targets, so it does not by itself report this full tie-aware Sokoban metric.
Validation and split separation
Training and test layouts are disjoint after canonicalizing rotations and reflections of walls and goals. Packaging verified training-file hashes against the original manifest, record schemas, unique IDs and canonical states, asset references, source quotas, and consistency of labels with the recorded optimal-action sets. It independently recomputed the exact optimal distance and replayed the reference solution for every current test game. All copied data files are checked by SHA-256 against data_manifest.json.
The reference policy completed 100/100 games in 1183 total actions during packaging. This confirms replay and evaluator compatibility; it is not a learned-model result. The full 30,000-state solver audit was not repeated for packaging; its original report is retained with the historical-test-size qualification above.
Keep test layouts and evaluator-only solutions out of training and model selection.
Image archives
Images are distributed as ZIP archives. Each archive preserves its folder prefix and all nested paths. The original image directories have been removed after verifying their contents against the archives. Extract the ZIP files to restore them. Record paths are unchanged; after downloading archives, extract them from the repository root before loading the JSONL data.
| Archive | Image files | ZIP size |
|---|---|---|
train_sokoban/assets.zip |
30,000 | 55.09 MiB |
eval_sokoban/single_step_assets.zip |
500 | 0.95 MiB |
unzip -n train_sokoban/assets.zip -d train_sokoban
unzip -n eval_sokoban/single_step_assets.zip -d eval_sokoban
unzip -n preserves existing extracted files. image_archives.json records archive SHA-256 hashes, source sizes and file counts. Every member was decompressed and checked against the original data manifest by SHA-256; ZIP CRC checks also passed. ZIP64 is enabled for large archives.
π€ Contributions
Contributions to Valen are welcome. Open an issue to report a problem, share a use case or discuss experimental results. Submit a pull request to improve the code or documentation, contribute training data or add evaluation tasks.
Scan the QR code below to join the Valen WeChat group, discuss the project and share your experiments.
π Provenance and license
These files contain procedurally generated Sokoban boards, rendered screenshots, and solver-derived supervision produced by the Valen Sokoban pipeline (formerly VisionJev). The source version is sokoban-v1; generator seeds and label provenance are retained in the original records and manifests. The repository retains its Apache-2.0 metadata declaration.
Historical Visual-Jev identifiers in metadata are preserved for provenance; the data files have not been renamed or relabeled.
Valen is built on Qwen3.5, with its decision interface inspired by TypeSafe's Jev. Project documentation and evaluation results are available in the GitHub README.
- Downloads last month
- 81
Models trained or fine-tuned on Valen-Team/Valen-Eval-Game