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Datasets:
weathon
/
3d2smiles_synthetic

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image
imagewidth (px)
400
400
caption
stringlengths
1
55
cid
int64
3
168M
split
stringclasses
1 value
C(CCl)C(F)(F)F
10,000
train
C(CCl)C(F)(F)F
10,000
train
C(CCl)C(F)(F)F
10,000
train
C(CCl)C(F)(F)F
10,000
train
CCC(C)N1C(=O)C=C(NC1=O)C
100,019
train
CCC(C)N1C(=O)C=C(NC1=O)C
100,019
train
CCC(C)N1C(=O)C=C(NC1=O)C
100,019
train
CCC(C)N1C(=O)C=C(NC1=O)C
100,019
train
C(CN)C(F)(F)F
10,001
train
C(CN)C(F)(F)F
10,001
train
C(CN)C(F)(F)F
10,001
train
C(CN)C(F)(F)F
10,001
train
CCC(C)C1=CC(=C(C=C1)O)N
100,028
train
CCC(C)C1=CC(=C(C=C1)O)N
100,028
train
CCC(C)C1=CC(=C(C=C1)O)N
100,028
train
CCC(C)C1=CC(=C(C=C1)O)N
100,028
train
C(C(Cl)Cl)C(F)(F)F
10,002
train
C(C(Cl)Cl)C(F)(F)F
10,002
train
C(C(Cl)Cl)C(F)(F)F
10,002
train
C(C(Cl)Cl)C(F)(F)F
10,002
train
C1CC2C(O2)C(=O)C1
100,030
train
C1CC2C(O2)C(=O)C1
100,030
train
C1CC2C(O2)C(=O)C1
100,030
train
C1CC2C(O2)C(=O)C1
100,030
train
CC(=C)C1CC2C(O2)(C(=O)C1)C
100,031
train
CC(=C)C1CC2C(O2)(C(=O)C1)C
100,031
train
CC(=C)C1CC2C(O2)(C(=O)C1)C
100,031
train
CC(=C)C1CC2C(O2)(C(=O)C1)C
100,031
train
CCOCC(F)(F)F
10,003
train
CCOCC(F)(F)F
10,003
train
CCOCC(F)(F)F
10,003
train
CCOCC(F)(F)F
10,003
train
C(CF)C(=O)O
10,004
train
C(CF)C(=O)O
10,004
train
C(CF)C(=O)O
10,004
train
C(CF)C(=O)O
10,004
train
CC(C)(C)OS(=O)(=O)O
10,005,178
train
CC(C)(C)OS(=O)(=O)O
10,005,178
train
CC(C)(C)OS(=O)(=O)O
10,005,178
train
CC(C)(C)OS(=O)(=O)O
10,005,178
train
C(#N)N=C(N)N
10,005
train
C(#N)N=C(N)N
10,005
train
C(#N)N=C(N)N
10,005
train
C(#N)N=C(N)N
10,005
train
C1C(=O)NC(=O)N1
10,006
train
C1C(=O)NC(=O)N1
10,006
train
C1C(=O)NC(=O)N1
10,006
train
C1C(=O)NC(=O)N1
10,006
train
CC(C)(CC1=CC=C(C=C1)Cl)N
10,007
train
CC(C)(CC1=CC=C(C=C1)Cl)N
10,007
train
CC(C)(CC1=CC=C(C=C1)Cl)N
10,007
train
CC(C)(CC1=CC=C(C=C1)Cl)N
10,007
train
C1=CC=C(C=C1)F
10,008
train
C1=CC=C(C=C1)F
10,008
train
C1=CC=C(C=C1)F
10,008
train
C1=CC=C(C=C1)F
10,008
train
CC(C(C1=CC=CC=C1)O)O
10,009,279
train
CC(C(C1=CC=CC=C1)O)O
10,009,279
train
CC(C(C1=CC=CC=C1)O)O
10,009,279
train
CC(C(C1=CC=CC=C1)O)O
10,009,279
train
C1=CC(=CN=C1)N
10,009
train
C1=CC(=CN=C1)N
10,009
train
C1=CC(=CN=C1)N
10,009
train
C1=CC(=CN=C1)N
10,009
train
C1=CC=C(C=C1)C(CN)O
1,000
train
C1=CC=C(C=C1)C(CN)O
1,000
train
C1=CC=C(C=C1)C(CN)O
1,000
train
C1=CC=C(C=C1)C(CN)O
1,000
train
CCCC=CO
10,011,839
train
CCCC=CO
10,011,839
train
CCCC=CO
10,011,839
train
CCCC=CO
10,011,839
train
C1C(C1F)C(=O)O
10,011,855
train
C1C(C1F)C(=O)O
10,011,855
train
C1C(C1F)C(=O)O
10,011,855
train
C1C(C1F)C(=O)O
10,011,855
train
C1CNC2=C1C=CC=N2
10,011,889
train
C1CNC2=C1C=CC=N2
10,011,889
train
C1CNC2=C1C=CC=N2
10,011,889
train
C1CNC2=C1C=CC=N2
10,011,889
train
CC1=CC(=NC=C1)C=O
10,011,894
train
CC1=CC(=NC=C1)C=O
10,011,894
train
CC1=CC(=NC=C1)C=O
10,011,894
train
CC1=CC(=NC=C1)C=O
10,011,894
train
C1CNCCC1CC#N
10,011,903
train
C1CNCCC1CC#N
10,011,903
train
C1CNCCC1CC#N
10,011,903
train
C1CNCCC1CC#N
10,011,903
train
C1=CSC(=C1F)C#N
10,011,914
train
C1=CSC(=C1F)C#N
10,011,914
train
C1=CSC(=C1F)C#N
10,011,914
train
C1=CSC(=C1F)C#N
10,011,914
train
C(CCO[N+](=O)[O-])CO
10,011,944
train
C(CCO[N+](=O)[O-])CO
10,011,944
train
C(CCO[N+](=O)[O-])CO
10,011,944
train
C(CCO[N+](=O)[O-])CO
10,011,944
train
C1C=CC(CC1C(=O)O)N
10,011,990
train
C1C=CC(CC1C(=O)O)N
10,011,990
train
C1C=CC(CC1C(=O)O)N
10,011,990
train
C1C=CC(CC1C(=O)O)N
10,011,990
train
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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
317,472

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