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murrellb commited on
Commit
bdca97a
·
verified ·
1 Parent(s): 00d410e

Replace GuacaMol SELFIES arrays with canonical SMILES tokens

Browse files
GuacaMol/metadata.json CHANGED
@@ -2,144 +2,143 @@
2
  "dataset": "GuacaMol v1 distribution-learning benchmark",
3
  "upstream": "https://github.com/BenevolentAI/guacamol",
4
  "license": "ChEMBL CC BY-SA 3.0",
5
- "representation": "SELFIES 2.2.0 with default constraints and iodine valence 7",
6
- "selfies_version": "2.2.0",
7
- "sequence_length": 112,
8
- "selfies_alphabet": [
9
- "[#Branch1]",
10
- "[#Branch2]",
11
- "[#C-1]",
12
- "[#C]",
13
- "[#N+1]",
14
- "[#N]",
15
- "[#O+1]",
16
- "[#S]",
17
- "[=B-1]",
18
- "[=B]",
19
- "[=Branch1]",
20
- "[=Branch2]",
21
- "[=C-1]",
22
- "[=C]",
23
- "[=IH2]",
24
- "[=I]",
25
- "[=N+1]",
26
- "[=N-1]",
27
- "[=NH1+1]",
28
- "[=NH2+1]",
29
- "[=N]",
30
- "[=O+1]",
31
- "[=OH1+1]",
32
- "[=O]",
33
- "[=PH1]",
34
- "[=P]",
35
- "[=Ring1]",
36
- "[=Ring2]",
37
- "[=S+1]",
38
- "[=SH1]",
39
- "[=S]",
40
- "[=Se+1]",
41
- "[=Se]",
42
- "[=Si]",
43
- "[B-1]",
44
- "[BH0]",
45
- "[BH1-1]",
46
- "[BH2-1]",
47
- "[BH3-1]",
48
  "[B]",
49
  "[Br+2]",
50
- "[Br-1]",
51
- "[Br]",
52
- "[Branch1]",
53
- "[Branch2]",
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- "[C+1]",
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- "[C-1]",
56
- "[CH1+1]",
57
- "[CH1-1]",
58
- "[CH1]",
59
- "[CH2+1]",
60
  "[CH2]",
61
- "[C]",
62
- "[Cl+1]",
63
  "[Cl+2]",
64
  "[Cl+3]",
65
- "[Cl-1]",
66
- "[Cl]",
67
- "[F+1]",
68
- "[F-1]",
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- "[F]",
70
  "[H]",
71
- "[I+1]",
72
  "[I+2]",
73
  "[I+3]",
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- "[I-1]",
 
75
  "[IH2]",
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- "[I]",
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- "[N+1]",
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- "[N-1]",
79
- "[NH0]",
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- "[NH1+1]",
81
- "[NH1-1]",
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- "[NH1]",
83
- "[NH2+1]",
84
- "[NH3+1]",
85
  "[N]",
86
- "[O+1]",
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- "[O-1]",
88
- "[OH0]",
89
- "[OH1+1]",
90
  "[O]",
91
- "[P+1]",
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- "[P-1]",
93
- "[PH1]",
94
- "[PH2+1]",
95
- "[P]",
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- "[Ring1]",
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- "[Ring2]",
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- "[S+1]",
99
- "[S-1]",
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- "[SH1+1]",
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- "[SH1-1]",
102
- "[SH1]",
103
- "[S]",
104
- "[Se+1]",
105
- "[Se-1]",
106
- "[SeH1]",
107
  "[SeH2]",
 
108
  "[Se]",
109
- "[Si-1]",
110
- "[SiH1-1]",
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- "[SiH1]",
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  "[SiH2]",
113
- "[Si]"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
114
  ],
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  "splits": {
116
  "train": {
117
  "examples": 1273104,
118
  "unique": 1273104,
119
- "minimum_smiles_length": 1,
120
- "maximum_smiles_length": 100,
121
- "minimum_selfies_tokens": 1,
122
- "maximum_selfies_tokens": 109,
 
123
  "source_url": "https://ndownloader.figshare.com/files/13612760",
124
  "source_md5": "05ad85d871958a05c02ab51a4fde8530"
125
  },
126
  "validation": {
127
  "examples": 79568,
128
  "unique": 79568,
129
- "minimum_smiles_length": 5,
130
- "maximum_smiles_length": 100,
131
- "minimum_selfies_tokens": 4,
132
- "maximum_selfies_tokens": 107,
 
133
  "source_url": "https://ndownloader.figshare.com/files/13612766",
134
  "source_md5": "e53db4bff7dc4784123ae6df72e3b1f0"
135
  },
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  "test": {
137
  "examples": 238706,
138
  "unique": 238706,
139
- "minimum_smiles_length": 3,
140
- "maximum_smiles_length": 100,
141
- "minimum_selfies_tokens": 1,
142
- "maximum_selfies_tokens": 108,
 
143
  "source_url": "https://ndownloader.figshare.com/files/13612757",
144
  "source_md5": "677b757ccec4809febd83850b43e1616"
145
  }
 
2
  "dataset": "GuacaMol v1 distribution-learning benchmark",
3
  "upstream": "https://github.com/BenevolentAI/guacamol",
4
  "license": "ChEMBL CC BY-SA 3.0",
5
+ "representation": "canonical-smiles-regex-v1-separate-length",
6
+ "sequence_length": 100,
7
+ "smiles_alphabet": [
8
+ "#",
9
+ "%10",
10
+ "%11",
11
+ "%12",
12
+ "(",
13
+ ")",
14
+ "-",
15
+ "1",
16
+ "2",
17
+ "3",
18
+ "4",
19
+ "5",
20
+ "6",
21
+ "7",
22
+ "8",
23
+ "9",
24
+ "=",
25
+ "B",
26
+ "Br",
27
+ "C",
28
+ "Cl",
29
+ "F",
30
+ "I",
31
+ "N",
32
+ "O",
33
+ "P",
34
+ "S",
35
+ "[B-]",
36
+ "[BH-]",
37
+ "[BH2-]",
38
+ "[BH3-]",
 
 
 
 
 
 
 
 
 
39
  "[B]",
40
  "[Br+2]",
41
+ "[Br-]",
42
+ "[C+]",
43
+ "[C-]",
44
+ "[CH+]",
45
+ "[CH-]",
46
+ "[CH2+]",
 
 
 
 
47
  "[CH2]",
48
+ "[CH]",
 
49
  "[Cl+2]",
50
  "[Cl+3]",
51
+ "[Cl+]",
52
+ "[Cl-]",
53
+ "[F+]",
54
+ "[F-]",
 
55
  "[H]",
 
56
  "[I+2]",
57
  "[I+3]",
58
+ "[I+]",
59
+ "[I-]",
60
  "[IH2]",
61
+ "[N+]",
62
+ "[N-]",
63
+ "[NH+]",
64
+ "[NH-]",
65
+ "[NH2+]",
66
+ "[NH3+]",
 
 
 
67
  "[N]",
68
+ "[O+]",
69
+ "[O-]",
70
+ "[OH+]",
 
71
  "[O]",
72
+ "[P+]",
73
+ "[P-]",
74
+ "[PH2+]",
75
+ "[PH]",
76
+ "[S+]",
77
+ "[S-]",
78
+ "[SH+]",
79
+ "[SH-]",
80
+ "[SH]",
81
+ "[Se+]",
82
+ "[Se-]",
 
 
 
 
 
83
  "[SeH2]",
84
+ "[SeH]",
85
  "[Se]",
86
+ "[Si-]",
87
+ "[SiH-]",
 
88
  "[SiH2]",
89
+ "[SiH]",
90
+ "[Si]",
91
+ "[b-]",
92
+ "[c+]",
93
+ "[c-]",
94
+ "[cH+]",
95
+ "[cH-]",
96
+ "[n+]",
97
+ "[n-]",
98
+ "[nH+]",
99
+ "[nH]",
100
+ "[o+]",
101
+ "[s+]",
102
+ "[se+]",
103
+ "[se]",
104
+ "b",
105
+ "c",
106
+ "n",
107
+ "o",
108
+ "p",
109
+ "s"
110
  ],
111
  "splits": {
112
  "train": {
113
  "examples": 1273104,
114
  "unique": 1273104,
115
+ "minimum_smiles_characters": 1,
116
+ "maximum_smiles_characters": 100,
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+ "minimum_tokens": 1,
118
+ "maximum_tokens": 100,
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+ "mean_tokens": 46.55556890874587,
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  "source_url": "https://ndownloader.figshare.com/files/13612760",
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  "source_md5": "05ad85d871958a05c02ab51a4fde8530"
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  },
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  "validation": {
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  "examples": 79568,
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  "unique": 79568,
126
+ "minimum_smiles_characters": 5,
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+ "maximum_smiles_characters": 100,
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+ "minimum_tokens": 5,
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+ "maximum_tokens": 100,
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+ "mean_tokens": 46.4712321536296,
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  "source_url": "https://ndownloader.figshare.com/files/13612766",
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  "source_md5": "e53db4bff7dc4784123ae6df72e3b1f0"
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  },
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  "test": {
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  "examples": 238706,
136
  "unique": 238706,
137
+ "minimum_smiles_characters": 3,
138
+ "maximum_smiles_characters": 100,
139
+ "minimum_tokens": 1,
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+ "maximum_tokens": 100,
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+ "mean_tokens": 46.52964315936759,
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  "source_url": "https://ndownloader.figshare.com/files/13612757",
143
  "source_md5": "677b757ccec4809febd83850b43e1616"
144
  }
GuacaMol/{validation.npy → test_lengths.npy} RENAMED
@@ -1,3 +1,3 @@
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GuacaMol/{test.npy → test_tokens.npy} RENAMED
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GuacaMol/{train.npy → train_lengths.npy} RENAMED
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GuacaMol/train_tokens.npy ADDED
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README.md CHANGED
@@ -20,7 +20,7 @@ protocol.
20
  | `NavierStokes` | Vorticity fields | Fourier-downsampled train/validation/test arrays |
21
  | `JetNet30` | Particle clouds | Five-class train/validation/test arrays |
22
  | `DeepSTARR` | Enhancer sequences | Splits, activities, metadata, and official predictor weights |
23
- | `GuacaMol` | Drug-like molecules | Official non-overlapping ChEMBL splits as robust SELFIES endpoint arrays |
24
  | `SpeechCommands` | One-second spoken-word waveforms | Official speaker-disjoint train/validation/test arrays and labels |
25
 
26
  The analytic spiral and checkerboard benchmarks have no stored dataset; their
 
20
  | `NavierStokes` | Vorticity fields | Fourier-downsampled train/validation/test arrays |
21
  | `JetNet30` | Particle clouds | Five-class train/validation/test arrays |
22
  | `DeepSTARR` | Enhancer sequences | Splits, activities, metadata, and official predictor weights |
23
+ | `GuacaMol` | Drug-like molecules | Official non-overlapping ChEMBL splits as canonical-SMILES tokens and exact lengths |
24
  | `SpeechCommands` | One-second spoken-word waveforms | Official speaker-disjoint train/validation/test arrays and labels |
25
 
26
  The analytic spiral and checkerboard benchmarks have no stored dataset; their
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@@ -9,8 +9,8 @@
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@@ -33,8 +33,8 @@
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@@ -68,23 +68,38 @@
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