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adds the load script

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  1. pubchem-07-23-2024.py +592 -0
pubchem-07-23-2024.py ADDED
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+ # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
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+ #
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+ # http://www.apache.org/licenses/LICENSE-2.0
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
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+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
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+ # limitations under the License.
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+ """loading script for the pubchem-07-23-2024 data"""
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+
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+ import ijson
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+ import datasets
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+
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+
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+ _CITATION = """\
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+ @article{Kim:2022:D1373,
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+ author = {Kim, Sunghwan and Chen, Jie and Cheng, Tiejun and Gindulyte, Asta and He, Jia and He, Siqian and Li, Qingliang and Shoemaker, Benjamin A and Thiessen, Paul A and Yu, Bo and Zaslavsky, Leonid and Zhang, Jian and Bolton, Evan E},
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+ title = "{PubChem 2023 update}",
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+ journal = {Nucleic Acids Research},
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+ volume = {51},
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+ pages = {D1373-D1380},
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+ year = {2022},
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+ doi = {10.1093/nar/gkac956}
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+ }
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+ """
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+
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+ _DESCRIPTION = """\
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+ PubChem (https://pubchem.ncbi.nlm.nih.gov) is a popular chemical information \
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+ resource that serves a wide range of use cases. In the past \
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+ two years, a number of changes were made to PubChem. Data from more than 120 \
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+ data sources was added to PubChem. Some major highlights include: the \
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+ integration of Google Patents data into PubChem, which greatly expanded the \
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+ coverage of the PubChem Patent data collection; the creation of the Cell Line \
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+ and Taxonomy data collections, which provide quick and easy access to chemical \
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+ information for a given cell line and taxon, respectively; and the update of \
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+ the bioassay data model. In addition, new functionalities were added to the \
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+ PubChem programmatic access protocols, PUG-REST and PUG-View, including support \
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+ for target-centric data download for a given protein, gene, pathway, cell line, \
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+ and taxon and the addition of the `standardize` option to PUG-REST, which \
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+ returns the standardized form of an input chemical structure. A significant \
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+ update was also made to PubChemRDF. The present paper provides an overview of \
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+ these changes.
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+ """
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+
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+ _HOMEPAGE = "https://pubchem.ncbi.nlm.nih.gov"
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+
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+ _LICENSE = "https://www.ncbi.nlm.nih.gov/home/about/policies/#data"
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+
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+
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+ _BASE_DATA_URL_FORMAT_STR = "https://huggingface.co/datasets/molssiai-hub/pubchem-07-23-2024/resolve/main/data/train/Compound_{range}.json"
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+
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+ _CONFIG_NAMES = [
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+ "pubchem-07-23-2024"
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+ ]
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+
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+ _FEATURE_KEYS = [
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+ 'PUBCHEM_COMPOUND_CID',
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+ 'PUBCHEM_COMPOUND_CANONICALIZED',
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+ 'PUBCHEM_CACTVS_COMPLEXITY',
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+ 'PUBCHEM_CACTVS_HBOND_ACCEPTOR',
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+ 'PUBCHEM_CACTVS_HBOND_DONOR',
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+ 'PUBCHEM_CACTVS_ROTATABLE_BOND',
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+ 'PUBCHEM_CACTVS_SUBSKEYS',
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+ 'PUBCHEM_IUPAC_OPENEYE_NAME',
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+ 'PUBCHEM_IUPAC_CAS_NAME',
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+ 'PUBCHEM_IUPAC_NAME_MARKUP',
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+ 'PUBCHEM_IUPAC_NAME',
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+ 'PUBCHEM_IUPAC_SYSTEMATIC_NAME',
74
+ 'PUBCHEM_IUPAC_TRADITIONAL_NAME',
75
+ 'PUBCHEM_IUPAC_INCHI',
76
+ 'PUBCHEM_IUPAC_INCHIKEY',
77
+ 'PUBCHEM_XLOGP3_AA',
78
+ 'PUBCHEM_EXACT_MASS',
79
+ 'PUBCHEM_MOLECULAR_FORMULA',
80
+ 'PUBCHEM_MOLECULAR_WEIGHT',
81
+ 'PUBCHEM_OPENEYE_CAN_SMILES',
82
+ 'PUBCHEM_OPENEYE_ISO_SMILES',
83
+ 'PUBCHEM_CACTVS_TPSA',
84
+ 'PUBCHEM_MONOISOTOPIC_WEIGHT',
85
+ 'PUBCHEM_TOTAL_CHARGE',
86
+ 'PUBCHEM_HEAVY_ATOM_COUNT',
87
+ 'PUBCHEM_ATOM_DEF_STEREO_COUNT',
88
+ 'PUBCHEM_ATOM_UDEF_STEREO_COUNT',
89
+ 'PUBCHEM_BOND_DEF_STEREO_COUNT',
90
+ 'PUBCHEM_BOND_UDEF_STEREO_COUNT',
91
+ 'PUBCHEM_ISOTOPIC_ATOM_COUNT',
92
+ 'PUBCHEM_COMPONENT_COUNT',
93
+ 'PUBCHEM_CACTVS_TAUTO_COUNT',
94
+ 'PUBCHEM_COORDINATE_TYPE',
95
+ 'PUBCHEM_BONDANNOTATIONS',
96
+ 'COORDS',
97
+ 'ATOMIC_INDICES',
98
+ 'ATOMIC_SYMBOLS',
99
+ 'ATOMIC_NUMBERS',
100
+ 'ATOMIC_FORMAL_CHARGES',
101
+ 'BOND_ORDERS',
102
+ 'PUBCHEM_XLOGP3',
103
+ 'PUBCHEM_NONSTANDARDBOND',
104
+ 'PUBCHEM_REFERENCE_STANDARDIZATION'
105
+ ]
106
+
107
+ _FEATURE_TYPES = datasets.Features(
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+ {
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+ 'PUBCHEM_COMPOUND_CID': datasets.Value(dtype='string', id=None),
110
+ 'PUBCHEM_COMPOUND_CANONICALIZED': datasets.Value(dtype='string', id=None),
111
+ 'PUBCHEM_CACTVS_COMPLEXITY': datasets.Value(dtype='float64', id=None),
112
+ 'PUBCHEM_CACTVS_HBOND_ACCEPTOR': datasets.Value(dtype='int64', id=None),
113
+ 'PUBCHEM_CACTVS_HBOND_DONOR': datasets.Value(dtype='int64', id=None),
114
+ 'PUBCHEM_CACTVS_ROTATABLE_BOND': datasets.Value(dtype='int64', id=None),
115
+ 'PUBCHEM_CACTVS_SUBSKEYS': datasets.Value(dtype='string', id=None),
116
+ 'PUBCHEM_IUPAC_OPENEYE_NAME': datasets.Value(dtype='string', id=None),
117
+ 'PUBCHEM_IUPAC_CAS_NAME': datasets.Value(dtype='string', id=None),
118
+ 'PUBCHEM_IUPAC_NAME_MARKUP': datasets.Value(dtype='string', id=None),
119
+ 'PUBCHEM_IUPAC_NAME': datasets.Value(dtype='string', id=None),
120
+ 'PUBCHEM_IUPAC_SYSTEMATIC_NAME': datasets.Value(dtype='string', id=None),
121
+ 'PUBCHEM_IUPAC_TRADITIONAL_NAME': datasets.Value(dtype='string', id=None),
122
+ 'PUBCHEM_IUPAC_INCHI': datasets.Value(dtype='string', id=None),
123
+ 'PUBCHEM_IUPAC_INCHIKEY': datasets.Value(dtype='string', id=None),
124
+ 'PUBCHEM_XLOGP3_AA': datasets.Value(dtype='float64', id=None),
125
+ 'PUBCHEM_EXACT_MASS': datasets.Value(dtype='float64', id=None),
126
+ 'PUBCHEM_MOLECULAR_FORMULA': datasets.Value(dtype='string', id=None),
127
+ 'PUBCHEM_MOLECULAR_WEIGHT': datasets.Value(dtype='float64', id=None),
128
+ 'PUBCHEM_OPENEYE_CAN_SMILES': datasets.Value(dtype='string', id=None),
129
+ 'PUBCHEM_OPENEYE_ISO_SMILES': datasets.Value(dtype='string', id=None),
130
+ 'PUBCHEM_CACTVS_TPSA': datasets.Value(dtype='float64', id=None),
131
+ 'PUBCHEM_MONOISOTOPIC_WEIGHT': datasets.Value(dtype='float64', id=None),
132
+ 'PUBCHEM_TOTAL_CHARGE': datasets.Value(dtype='int64', id=None),
133
+ 'PUBCHEM_HEAVY_ATOM_COUNT': datasets.Value(dtype='int64', id=None),
134
+ 'PUBCHEM_ATOM_DEF_STEREO_COUNT': datasets.Value(dtype='int64', id=None),
135
+ 'PUBCHEM_ATOM_UDEF_STEREO_COUNT': datasets.Value(dtype='int64', id=None),
136
+ 'PUBCHEM_BOND_DEF_STEREO_COUNT': datasets.Value(dtype='int64', id=None),
137
+ 'PUBCHEM_BOND_UDEF_STEREO_COUNT': datasets.Value(dtype='int64', id=None),
138
+ 'PUBCHEM_ISOTOPIC_ATOM_COUNT': datasets.Value(dtype='int64', id=None),
139
+ 'PUBCHEM_COMPONENT_COUNT': datasets.Value(dtype='int64', id=None),
140
+ 'PUBCHEM_CACTVS_TAUTO_COUNT': datasets.Value(dtype='int64', id=None),
141
+ 'PUBCHEM_COORDINATE_TYPE': datasets.Sequence(feature=datasets.Value(dtype='int64', id=None), length=-1, id=None),
142
+ 'PUBCHEM_BONDANNOTATIONS': datasets.Sequence(feature=datasets.Value(dtype='int64', id=None), length=-1, id=None),
143
+ 'COORDS': datasets.Sequence(feature=datasets.Value(dtype='float64', id=None), length=-1, id=None),
144
+ 'ATOMIC_INDICES': datasets.Sequence(feature=datasets.Value(dtype='int64', id=None), length=-1, id=None),
145
+ 'ATOMIC_SYMBOLS': datasets.Sequence(feature=datasets.Value(dtype='string', id=None), length=-1, id=None),
146
+ 'ATOMIC_NUMBERS': datasets.Sequence(feature=datasets.Value(dtype='int64', id=None), length=-1, id=None),
147
+ 'ATOMIC_FORMAL_CHARGES': datasets.Sequence(feature=datasets.Value(dtype='int64', id=None), length=-1, id=None),
148
+ 'BOND_ORDERS': datasets.Sequence(feature=datasets.Value(dtype='int64', id=None), length=-1, id=None),
149
+ 'PUBCHEM_XLOGP3': datasets.Value(dtype='string', id=None),
150
+ 'PUBCHEM_NONSTANDARDBOND': datasets.Value(dtype='string', id=None),
151
+ 'PUBCHEM_REFERENCE_STANDARDIZATION': datasets.Value(dtype='string', id=None)
152
+ }
153
+ )
154
+
155
+ _ID_RANGES = [
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+ '140500001_141000000',
438
+ '141000001_141500000',
439
+ '141500001_142000000',
440
+ '142000001_142500000',
441
+ '142500001_143000000',
442
+ '143000001_143500000',
443
+ '143500001_144000000',
444
+ '144000001_144500000',
445
+ '144500001_145000000',
446
+ '145000001_145500000',
447
+ '145500001_146000000',
448
+ '146000001_146500000',
449
+ '146500001_147000000',
450
+ '147000001_147500000',
451
+ '147500001_148000000',
452
+ '148000001_148500000',
453
+ '148500001_149000000',
454
+ '149000001_149500000',
455
+ '149500001_150000000',
456
+ '150000001_150500000',
457
+ '150500001_151000000',
458
+ '151000001_151500000',
459
+ '151500001_152000000',
460
+ '152000001_152500000',
461
+ '152500001_153000000',
462
+ '153000001_153500000',
463
+ '153500001_154000000',
464
+ '154000001_154500000',
465
+ '154500001_155000000',
466
+ '155000001_155500000',
467
+ '155500001_156000000',
468
+ '156000001_156500000',
469
+ '156500001_157000000',
470
+ '157000001_157500000',
471
+ '157500001_158000000',
472
+ '158000001_158500000',
473
+ '158500001_159000000',
474
+ '159000001_159500000',
475
+ '159500001_160000000',
476
+ '160000001_160500000',
477
+ '160500001_161000000',
478
+ '161000001_161500000',
479
+ '161500001_162000000',
480
+ '162000001_162500000',
481
+ '162500001_163000000',
482
+ '163000001_163500000',
483
+ '163500001_164000000',
484
+ '164000001_164500000',
485
+ '164500001_165000000',
486
+ '165000001_165500000',
487
+ '165500001_166000000',
488
+ '166000001_166500000',
489
+ '166500001_167000000',
490
+ '167000001_167500000',
491
+ '167500001_168000000',
492
+ '168000001_168500000',
493
+ '168500001_169000000',
494
+ '169000001_169500000',
495
+ '169500001_170000000',
496
+ '170000001_170500000',
497
+ '170500001_171000000',
498
+ '171000001_171500000',
499
+ '171500001_172000000'
500
+ ]
501
+
502
+
503
+ class PubChemConfig(datasets.BuilderConfig):
504
+ """
505
+ Configuration class for the PubChem dataset.
506
+ Args:
507
+ features (dict): A dictionary specifying the features of the dataset.
508
+ data_url (str): The URL to download the dataset.
509
+ url (str): The URL to the dataset homepage.
510
+ citation (str): The citation for the dataset.
511
+ **kwargs: Additional keyword arguments.
512
+ Attributes:
513
+ version (datasets.Version): The version of the dataset.
514
+ """
515
+
516
+ def __init__(self, features, url, citation, id_range, **kwargs):
517
+ super(PubChemConfig, self).__init__(
518
+ version=datasets.Version("0.0.0"), **kwargs
519
+ )
520
+ self.features = features
521
+ self.url = url
522
+ self.citation = citation
523
+ self.id_range = id_range
524
+
525
+
526
+ class PubChem(datasets.GeneratorBasedBuilder):
527
+
528
+ BUILDER_CONFIG_CLASS = PubChemConfig
529
+
530
+ DEFAULT_CONFIG_NAME = "pubchem-07-23-2024"
531
+
532
+ VERSION = datasets.Version("0.0.0")
533
+
534
+ url = "https://huggingface.co/datasets/molssiai-hub/pubchem-07-23-2024"
535
+
536
+ BUILDER_CONFIGS = [
537
+ PubChemConfig(
538
+ name="pubchem-07-23-2024",
539
+ description=_DESCRIPTION,
540
+ features=_FEATURE_KEYS,
541
+ url=url,
542
+ citation=_CITATION,
543
+ id_range=_ID_RANGES,
544
+ )
545
+ ]
546
+
547
+ def _info(self):
548
+ if self.config.name in _CONFIG_NAMES:
549
+ features = _FEATURE_TYPES
550
+ else:
551
+ raise NotImplementedError("Unknown configuration in _info")
552
+
553
+ return datasets.DatasetInfo(
554
+ description=_DESCRIPTION,
555
+ features=features,
556
+ homepage=_HOMEPAGE,
557
+ supervised_keys=None,
558
+ license=_LICENSE,
559
+ citation=_CITATION,
560
+ )
561
+
562
+ def _split_generators(self, dl_manager):
563
+ if self.config.name in _CONFIG_NAMES:
564
+ file_list = []
565
+ for range in self.config.id_range:
566
+ file_list.append(_BASE_DATA_URL_FORMAT_STR.format(
567
+ name=self.config.name, range=range))
568
+ else:
569
+ raise NotImplementedError(
570
+ "Unknown configuration in _split_generators")
571
+
572
+ return [
573
+ datasets.SplitGenerator(
574
+ name=datasets.Split.TRAIN,
575
+ gen_kwargs={
576
+ "filepaths": dl_manager.download(sorted(file_list)),
577
+ },
578
+ )
579
+ ]
580
+
581
+ def _generate_examples(self, filepaths):
582
+ if self.config.name in _CONFIG_NAMES:
583
+ idx = 0
584
+ for filepath in filepaths:
585
+ with open(filepath, "rb") as f:
586
+ items = ijson.items(f, "item", use_float=True)
587
+ for data in items:
588
+ yield idx, data
589
+ idx += 1
590
+ else:
591
+ raise NotImplementedError(
592
+ "Unknown configuration in _generate_examples")