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"""NASA_OSDR dataset""" |
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import json |
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import os |
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import datasets |
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import pandas as pd |
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_CITATION = """ |
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@inproceedings{singh2019towards, |
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title={}, |
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author={}, |
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booktitle={}, |
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pages={}, |
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year={} |
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} |
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""" |
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_DESCRIPTION = """ |
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TODO: write description |
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""" |
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_HOMEPAGE = "https://" |
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_LICENSE = "" |
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_SPLITS = ["train"] |
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_FIFTYONE_DATASET_URL = "" |
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class NasaOsdr(datasets.GeneratorBasedBuilder): |
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"""NASA OSDR dataset.""" |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig( |
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name="NASA_OSDR", |
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version=datasets.Version("1.0.0"), |
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description=_DESCRIPTION, |
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) |
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] |
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DEFAULT_CONFIG_NAME = "NASA_OSDR" |
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def _info(self): |
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ASSAY_COLUMNS = ['Sample Name', 'Protocol REF', 'Parameter Value: DNA Fragmentation', |
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'Parameter Value: DNA Fragment Size', 'Extract Name', 'Protocol REF.1', |
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'Parameter Value: Library Strategy', |
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'Parameter Value: Library Selection', 'Parameter Value: Library Layout', |
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'Protocol REF.2', 'Parameter Value: Sequencing Instrument', |
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'Assay Name', 'Parameter Value: Read Length', 'Raw Data File', |
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'Protocol REF.3', 'Parameter Value: Read Depth', |
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'Parameter Value: MultiQC File Names'] |
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features = datasets.Features( |
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{ |
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column_name: datasets.Value("string") |
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for column_name in ASSAY_COLUMNS |
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} |
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) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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supervised_keys=None, |
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homepage=_HOMEPAGE, |
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license=_LICENSE, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"split": "train", |
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"dataset_root": "/Users/anz2/PycharmProjects/NASA/NASA_OSDR/data", |
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}, |
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), |
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] |
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def _generate_examples(self, split: str, dataset_root: str): |
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assays = os.path.join(dataset_root, "assays.csv") |
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samples = os.path.join(dataset_root, "samples.csv") |
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assays_df = pd.read_csv(assays) |
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samples_df = pd.read_csv(samples) |
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for (idx, assay_row), (_, sample_row) in zip(assays_df.iterrows(), samples_df.iterrows()): |
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_item = {**assay_row.to_dict()} |
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yield idx, _item |
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