Eachan Johnson commited on
Commit
75bec4c
1 Parent(s): 780289b

Initial upload

Browse files
biogen-adme.csv.gz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c103a34f381f18d9a4e0575bb7d7d43c622eb3b143562a29081e3aeceaf0400c
3
+ size 323011
biogen-adme_test.csv.gz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:59be0e95a494a57732c275ac51e91adca461feb10f278314d8b8c2b75909f757
3
+ size 53751
biogen-adme_train.csv.gz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30f9139d8b6d64743639da2bc203601fe33641a6fe8249325ed1a3e7a0ec519d
3
+ size 270047
convert.log ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 🚀 Converting between string representations with the following parameters:
2
+ subcommand: convert
3
+ output: <_io.TextIOWrapper name='<stdout>' mode='w' encoding='utf-8'>
4
+ format: csv
5
+ input: <_io.TextIOWrapper name='/nemo/lab/johnsone/home/users/johnsoe/data/datasets/biogen-adme/ADME_public_set_3521-eoj.csv' mode='r' encoding='UTF-8'>
6
+ representation: SMILES
7
+ column: SMILES
8
+ prefix: None
9
+ to: ['id', 'inchikey', 'smiles', 'scaffold', 'mwt', 'clogp', 'tpsa']
10
+ options: ['prefix=SCB-']
11
+ func: <function _convert at 0x7f5b3b793240>
12
+
13
+ Error counts:
14
+ id: 0
15
+ inchikey: 0
16
+ smiles: 0
17
+ scaffold: 0
18
+ mwt: 0
19
+ clogp: 0
20
+ tpsa: 0
21
+ ⏰ Completed process in 0:00:05.623413
processing.log ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ + schemist convert /nemo/lab/johnsone/home/users/johnsoe/data/datasets/biogen-adme/ADME_public_set_3521-eoj.csv --format csv --column SMILES --to id inchikey smiles scaffold mwt clogp tpsa --options prefix=SCB-
2
+ + schemist split --format csv --column SMILES --type scaffold --train 0.85 --test 0.15 --seed 1
3
+ + gzip --best
4
+ + for split_name in train test
5
+ ++ basename /nemo/lab/johnsone/home/users/johnsoe/data/datasets/fang-2023-biogen-adme/biogen-adme.csv.gz .csv.gz
6
+ + split=/nemo/lab/johnsone/home/users/johnsoe/data/datasets/fang-2023-biogen-adme/biogen-adme_train.csv.gz
7
+ ++ zcat /nemo/lab/johnsone/home/users/johnsoe/data/datasets/fang-2023-biogen-adme/biogen-adme.csv.gz
8
+ ++ head -n1
9
+ ++ tr , '
10
+ '
11
+ ++ grep -n is_train
12
+ ++ cut -d: -f1
13
+ + filter_field=18
14
+ + gzip --best
15
+ + cat /dev/fd/63 /dev/fd/62
16
+ ++ zcat /nemo/lab/johnsone/home/users/johnsoe/data/datasets/fang-2023-biogen-adme/biogen-adme.csv.gz
17
+ ++ head -n1
18
+ ++ zcat /nemo/lab/johnsone/home/users/johnsoe/data/datasets/fang-2023-biogen-adme/biogen-adme.csv.gz
19
+ ++ tail -n+2
20
+ ++ awk -F, -v OFS=, '$18 == "True"'
21
+ + for split_name in train test
22
+ ++ basename /nemo/lab/johnsone/home/users/johnsoe/data/datasets/fang-2023-biogen-adme/biogen-adme.csv.gz .csv.gz
23
+ + split=/nemo/lab/johnsone/home/users/johnsoe/data/datasets/fang-2023-biogen-adme/biogen-adme_test.csv.gz
24
+ ++ zcat /nemo/lab/johnsone/home/users/johnsoe/data/datasets/fang-2023-biogen-adme/biogen-adme.csv.gz
25
+ ++ head -n1
26
+ ++ tr , '
27
+ '
28
+ ++ grep -n is_test
29
+ ++ cut -d: -f1
30
+ + filter_field=19
31
+ + gzip --best
32
+ + cat /dev/fd/63 /dev/fd/62
33
+ ++ zcat /nemo/lab/johnsone/home/users/johnsoe/data/datasets/fang-2023-biogen-adme/biogen-adme.csv.gz
34
+ ++ head -n1
35
+ ++ zcat /nemo/lab/johnsone/home/users/johnsoe/data/datasets/fang-2023-biogen-adme/biogen-adme.csv.gz
36
+ ++ tail -n+2
37
+ ++ awk -F, -v OFS=, '$19 == "True"'
38
+ + set +x
split.log ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 🚀 Splitting table with the following parameters:
2
+ subcommand: split
3
+ output: <_io.TextIOWrapper name='<stdout>' mode='w' encoding='utf-8'>
4
+ format: csv
5
+ input: <_io.TextIOWrapper name='<stdin>' mode='r' encoding='utf-8'>
6
+ representation: SMILES
7
+ column: SMILES
8
+ prefix: None
9
+ type: scaffold
10
+ train: 0.85
11
+ test: 0.15
12
+ seed: 1
13
+ func: <function _split at 0x7f55b081f4c0>
14
+
15
+
16
+ Split counts:
17
+ train: 2993
18
+ test: 528
19
+ validation: 0
20
+ ⏰ Completed process in 0:00:10.966729