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"""Musk: A Census Dataset""" |
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from typing import List |
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import datasets |
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import pandas |
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VERSION = datasets.Version("1.0.0") |
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_BASE_FEATURE_NAMES = [ |
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"name", |
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"conformation_name", |
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"ray_0", |
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"ray_1", |
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"ray_2", |
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"ray_3", |
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"ray_4", |
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"ray_5", |
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"ray_6", |
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"ray_7", |
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"ray_8", |
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"ray_9", |
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"ray_10", |
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"ray_11", |
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"ray_12", |
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"ray_13", |
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"ray_14", |
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"ray_15", |
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"ray_16", |
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"ray_17", |
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"ray_18", |
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"ray_19", |
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"ray_20", |
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"ray_21", |
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"ray_22", |
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"ray_23", |
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"ray_24", |
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"ray_25", |
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"ray_26", |
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"ray_27", |
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"ray_28", |
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"ray_29", |
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"ray_30", |
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"ray_31", |
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"ray_32", |
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"ray_33", |
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"ray_34", |
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"ray_35", |
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"ray_36", |
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"ray_37", |
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"ray_38", |
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"ray_39", |
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"ray_40", |
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"ray_41", |
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"ray_42", |
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"ray_43", |
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"ray_44", |
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"ray_45", |
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"ray_46", |
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"ray_47", |
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"ray_48", |
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"ray_49", |
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"ray_50", |
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"ray_51", |
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"ray_52", |
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"ray_53", |
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"ray_54", |
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"ray_55", |
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"ray_56", |
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"ray_57", |
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"ray_58", |
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"ray_59", |
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"ray_60", |
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"ray_61", |
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"ray_62", |
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"ray_63", |
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"ray_64", |
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"ray_65", |
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"ray_66", |
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"ray_67", |
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"ray_68", |
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"ray_69", |
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"ray_70", |
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"ray_71", |
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"ray_72", |
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"ray_73", |
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"ray_74", |
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"ray_75", |
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"ray_76", |
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"ray_77", |
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"ray_78", |
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"ray_79", |
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"ray_80", |
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"ray_81", |
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"ray_82", |
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"ray_83", |
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"ray_84", |
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"ray_85", |
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"ray_86", |
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"ray_87", |
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"ray_88", |
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"ray_89", |
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"ray_90", |
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"ray_91", |
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"ray_92", |
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"ray_93", |
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"ray_94", |
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"ray_95", |
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"ray_96", |
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"ray_97", |
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"ray_98", |
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"ray_99", |
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"ray_100", |
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"ray_101", |
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"ray_102", |
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"ray_103", |
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"ray_104", |
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"ray_105", |
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"ray_106", |
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"ray_107", |
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"ray_108", |
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"ray_109", |
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"ray_110", |
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"ray_111", |
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"ray_112", |
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"ray_113", |
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"ray_114", |
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"ray_115", |
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"ray_116", |
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"ray_117", |
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"ray_118", |
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"ray_119", |
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"ray_120", |
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"ray_121", |
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"ray_122", |
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"ray_123", |
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"ray_124", |
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"ray_125", |
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"ray_126", |
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"ray_127", |
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"ray_128", |
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"ray_129", |
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"ray_130", |
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"ray_131", |
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"ray_132", |
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"ray_133", |
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"ray_134", |
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"ray_135", |
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"ray_136", |
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"ray_137", |
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"ray_138", |
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"ray_139", |
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"ray_140", |
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"ray_141", |
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"ray_142", |
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"ray_143", |
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"ray_144", |
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"ray_145", |
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"ray_146", |
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"ray_147", |
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"ray_148", |
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"ray_149", |
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"ray_150", |
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"ray_151", |
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"ray_152", |
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"ray_153", |
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"ray_154", |
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"ray_155", |
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"ray_156", |
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"ray_157", |
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"ray_158", |
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"ray_159", |
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"ray_160", |
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"ray_161", |
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"oxy_distance", |
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"displacement_1", |
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"displacement_2", |
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"displacement_3", |
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"is_musk" |
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] |
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DESCRIPTION = "Musk dataset from the UCI ML repository." |
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_HOMEPAGE = "https://archive.ics.uci.edu/ml/datasets/Musk" |
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_URLS = ("https://archive.ics.uci.edu/ml/datasets/Musk") |
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_CITATION = """ |
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@misc{misc_musk_(version_2)_75, |
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author = {Chapman,David & Jain,Ajay}, |
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title = {{Musk (Version 2)}}, |
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year = {1994}, |
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howpublished = {UCI Machine Learning Repository}, |
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note = {{DOI}: \\url{10.24432/C51608}} |
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}""" |
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urls_per_split = { |
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"train": "https://huggingface.co./datasets/mstz/muskV2/raw/main/clean1V2.data" |
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} |
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features_types_per_config = { |
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"musk": { |
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"ray_0": datasets.Value("float64"), |
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"ray_1": datasets.Value("float64"), |
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"ray_2": datasets.Value("float64"), |
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"ray_3": datasets.Value("float64"), |
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"ray_4": datasets.Value("float64"), |
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"ray_5": datasets.Value("float64"), |
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"ray_6": datasets.Value("float64"), |
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"ray_7": datasets.Value("float64"), |
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"ray_8": datasets.Value("float64"), |
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"ray_9": datasets.Value("float64"), |
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"ray_10": datasets.Value("float64"), |
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"ray_11": datasets.Value("float64"), |
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"ray_12": datasets.Value("float64"), |
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"ray_13": datasets.Value("float64"), |
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"ray_14": datasets.Value("float64"), |
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"ray_15": datasets.Value("float64"), |
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"ray_16": datasets.Value("float64"), |
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"ray_17": datasets.Value("float64"), |
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"ray_18": datasets.Value("float64"), |
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"ray_19": datasets.Value("float64"), |
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"ray_20": datasets.Value("float64"), |
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"ray_21": datasets.Value("float64"), |
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"ray_22": datasets.Value("float64"), |
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"ray_23": datasets.Value("float64"), |
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"ray_24": datasets.Value("float64"), |
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"ray_25": datasets.Value("float64"), |
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"ray_26": datasets.Value("float64"), |
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"ray_27": datasets.Value("float64"), |
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"ray_28": datasets.Value("float64"), |
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"ray_29": datasets.Value("float64"), |
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"ray_30": datasets.Value("float64"), |
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"ray_31": datasets.Value("float64"), |
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"ray_32": datasets.Value("float64"), |
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"ray_33": datasets.Value("float64"), |
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"ray_34": datasets.Value("float64"), |
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"ray_35": datasets.Value("float64"), |
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"ray_36": datasets.Value("float64"), |
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"ray_37": datasets.Value("float64"), |
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"ray_38": datasets.Value("float64"), |
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"ray_39": datasets.Value("float64"), |
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"ray_40": datasets.Value("float64"), |
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"ray_41": datasets.Value("float64"), |
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"ray_42": datasets.Value("float64"), |
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"ray_43": datasets.Value("float64"), |
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"ray_44": datasets.Value("float64"), |
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"ray_45": datasets.Value("float64"), |
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"ray_46": datasets.Value("float64"), |
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"ray_47": datasets.Value("float64"), |
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"ray_48": datasets.Value("float64"), |
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"ray_49": datasets.Value("float64"), |
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"ray_50": datasets.Value("float64"), |
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"ray_51": datasets.Value("float64"), |
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"ray_52": datasets.Value("float64"), |
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"ray_53": datasets.Value("float64"), |
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"ray_54": datasets.Value("float64"), |
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"ray_55": datasets.Value("float64"), |
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"ray_56": datasets.Value("float64"), |
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"ray_57": datasets.Value("float64"), |
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"ray_58": datasets.Value("float64"), |
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"ray_59": datasets.Value("float64"), |
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"ray_60": datasets.Value("float64"), |
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"ray_61": datasets.Value("float64"), |
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"ray_62": datasets.Value("float64"), |
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"ray_63": datasets.Value("float64"), |
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"ray_64": datasets.Value("float64"), |
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"ray_65": datasets.Value("float64"), |
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"ray_66": datasets.Value("float64"), |
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"ray_67": datasets.Value("float64"), |
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"ray_68": datasets.Value("float64"), |
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"ray_69": datasets.Value("float64"), |
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"ray_70": datasets.Value("float64"), |
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"ray_71": datasets.Value("float64"), |
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"ray_72": datasets.Value("float64"), |
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"ray_73": datasets.Value("float64"), |
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"ray_74": datasets.Value("float64"), |
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"ray_75": datasets.Value("float64"), |
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"ray_76": datasets.Value("float64"), |
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"ray_77": datasets.Value("float64"), |
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"ray_78": datasets.Value("float64"), |
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"ray_79": datasets.Value("float64"), |
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"ray_80": datasets.Value("float64"), |
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"ray_81": datasets.Value("float64"), |
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"ray_82": datasets.Value("float64"), |
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"ray_83": datasets.Value("float64"), |
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"ray_84": datasets.Value("float64"), |
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"ray_85": datasets.Value("float64"), |
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"ray_86": datasets.Value("float64"), |
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"ray_87": datasets.Value("float64"), |
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"ray_88": datasets.Value("float64"), |
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"ray_89": datasets.Value("float64"), |
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"ray_90": datasets.Value("float64"), |
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"ray_91": datasets.Value("float64"), |
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"ray_92": datasets.Value("float64"), |
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"ray_93": datasets.Value("float64"), |
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"ray_94": datasets.Value("float64"), |
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"ray_95": datasets.Value("float64"), |
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"ray_96": datasets.Value("float64"), |
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"ray_97": datasets.Value("float64"), |
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"ray_98": datasets.Value("float64"), |
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"ray_99": datasets.Value("float64"), |
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"ray_100": datasets.Value("float64"), |
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"ray_101": datasets.Value("float64"), |
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"ray_102": datasets.Value("float64"), |
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"ray_103": datasets.Value("float64"), |
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"ray_104": datasets.Value("float64"), |
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"ray_105": datasets.Value("float64"), |
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"ray_106": datasets.Value("float64"), |
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"ray_107": datasets.Value("float64"), |
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"ray_108": datasets.Value("float64"), |
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"ray_109": datasets.Value("float64"), |
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"ray_110": datasets.Value("float64"), |
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"ray_111": datasets.Value("float64"), |
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"ray_112": datasets.Value("float64"), |
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"ray_113": datasets.Value("float64"), |
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"ray_114": datasets.Value("float64"), |
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"ray_115": datasets.Value("float64"), |
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"ray_116": datasets.Value("float64"), |
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"ray_117": datasets.Value("float64"), |
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"ray_118": datasets.Value("float64"), |
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"ray_119": datasets.Value("float64"), |
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"ray_120": datasets.Value("float64"), |
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"ray_121": datasets.Value("float64"), |
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"ray_122": datasets.Value("float64"), |
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"ray_123": datasets.Value("float64"), |
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"ray_124": datasets.Value("float64"), |
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"ray_125": datasets.Value("float64"), |
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"ray_126": datasets.Value("float64"), |
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"ray_127": datasets.Value("float64"), |
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"ray_128": datasets.Value("float64"), |
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"ray_129": datasets.Value("float64"), |
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"ray_130": datasets.Value("float64"), |
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"ray_131": datasets.Value("float64"), |
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"ray_132": datasets.Value("float64"), |
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"ray_133": datasets.Value("float64"), |
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"ray_134": datasets.Value("float64"), |
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"ray_135": datasets.Value("float64"), |
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"ray_136": datasets.Value("float64"), |
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"ray_137": datasets.Value("float64"), |
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"ray_138": datasets.Value("float64"), |
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"ray_139": datasets.Value("float64"), |
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"ray_140": datasets.Value("float64"), |
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"ray_141": datasets.Value("float64"), |
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"ray_142": datasets.Value("float64"), |
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"ray_143": datasets.Value("float64"), |
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"ray_144": datasets.Value("float64"), |
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"ray_145": datasets.Value("float64"), |
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"ray_146": datasets.Value("float64"), |
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"ray_147": datasets.Value("float64"), |
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"ray_148": datasets.Value("float64"), |
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"ray_149": datasets.Value("float64"), |
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"ray_150": datasets.Value("float64"), |
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"ray_151": datasets.Value("float64"), |
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"ray_152": datasets.Value("float64"), |
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"ray_153": datasets.Value("float64"), |
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"ray_154": datasets.Value("float64"), |
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"ray_155": datasets.Value("float64"), |
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"ray_156": datasets.Value("float64"), |
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"ray_157": datasets.Value("float64"), |
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"ray_158": datasets.Value("float64"), |
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"ray_159": datasets.Value("float64"), |
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"ray_160": datasets.Value("float64"), |
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"ray_161": datasets.Value("float64"), |
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"oxy_distance": datasets.Value("float64"), |
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"displacement_1": datasets.Value("float64"), |
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"displacement_2": datasets.Value("float64"), |
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"displacement_3": datasets.Value("float64"), |
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"is_musk": datasets.ClassLabel(num_classes=2, names=("no", "yes")) |
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} |
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} |
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features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config} |
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class MuskConfig(datasets.BuilderConfig): |
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def __init__(self, **kwargs): |
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super(MuskConfig, self).__init__(version=VERSION, **kwargs) |
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self.features = features_per_config[kwargs["name"]] |
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class Musk(datasets.GeneratorBasedBuilder): |
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DEFAULT_CONFIG = "musk" |
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BUILDER_CONFIGS = [ |
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MuskConfig(name="musk", |
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description="Musk for binary classification.") |
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] |
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def _info(self): |
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info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE, |
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features=features_per_config[self.config.name]) |
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return info |
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: |
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downloads = dl_manager.download_and_extract(urls_per_split) |
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return [ |
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads["train"]}) |
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] |
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def _generate_examples(self, filepath: str): |
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data = pandas.read_csv(filepath, header=None) |
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data.columns = _BASE_FEATURE_NAMES |
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data.drop("name", axis="columns", inplace=True) |
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data.drop("conformation_name", axis="columns", inplace=True) |
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for row_id, row in data.iterrows(): |
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data_row = dict(row) |
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yield row_id, data_row |
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