|
"""Musk: A Census Dataset""" |
|
|
|
from typing import List |
|
from functools import partial |
|
|
|
import datasets |
|
|
|
import pandas |
|
|
|
|
|
VERSION = datasets.Version("1.0.0") |
|
_BASE_FEATURE_NAMES = [ |
|
"name", |
|
"conformation_name", |
|
"ray_0", |
|
"ray_1", |
|
"ray_2", |
|
"ray_3", |
|
"ray_4", |
|
"ray_5", |
|
"ray_6", |
|
"ray_7", |
|
"ray_8", |
|
"ray_9", |
|
"ray_10", |
|
"ray_11", |
|
"ray_12", |
|
"ray_13", |
|
"ray_14", |
|
"ray_15", |
|
"ray_16", |
|
"ray_17", |
|
"ray_18", |
|
"ray_19", |
|
"ray_20", |
|
"ray_21", |
|
"ray_22", |
|
"ray_23", |
|
"ray_24", |
|
"ray_25", |
|
"ray_26", |
|
"ray_27", |
|
"ray_28", |
|
"ray_29", |
|
"ray_30", |
|
"ray_31", |
|
"ray_32", |
|
"ray_33", |
|
"ray_34", |
|
"ray_35", |
|
"ray_36", |
|
"ray_37", |
|
"ray_38", |
|
"ray_39", |
|
"ray_40", |
|
"ray_41", |
|
"ray_42", |
|
"ray_43", |
|
"ray_44", |
|
"ray_45", |
|
"ray_46", |
|
"ray_47", |
|
"ray_48", |
|
"ray_49", |
|
"ray_50", |
|
"ray_51", |
|
"ray_52", |
|
"ray_53", |
|
"ray_54", |
|
"ray_55", |
|
"ray_56", |
|
"ray_57", |
|
"ray_58", |
|
"ray_59", |
|
"ray_60", |
|
"ray_61", |
|
"oxy_distance", |
|
"displacement_1", |
|
"displacement_2", |
|
"displacement_3", |
|
"is_musk" |
|
] |
|
|
|
DESCRIPTION = "Musk dataset from the UCI ML repository." |
|
_HOMEPAGE = "https://archive.ics.uci.edu/ml/datasets/Musk" |
|
_URLS = ("https://huggingface.co/datasets/mstz/musk/raw/musk.csv") |
|
_CITATION = """ |
|
@misc{misc_musk_(version_1)_74, |
|
author = {Chapman,David & Jain,Ajay}, |
|
title = {{Musk (Version 1)}}, |
|
year = {1994}, |
|
howpublished = {UCI Machine Learning Repository}, |
|
note = {{DOI}: \\url{10.24432/C5ZK5B}} |
|
}""" |
|
|
|
|
|
urls_per_split = { |
|
"musk1": { |
|
"train": "https://huggingface.co/datasets/mstz/musk/raw/main/clean1.data" |
|
}, |
|
"musk2": { |
|
"train": "https://huggingface.co/datasets/mstz/musk/raw/main/clean2.data" |
|
} |
|
} |
|
features_types_per_config = { |
|
"musk1": { |
|
"ray_0": datasets.Value("float64"), |
|
"ray_1": datasets.Value("float64"), |
|
"ray_2": datasets.Value("float64"), |
|
"ray_3": datasets.Value("float64"), |
|
"ray_4": datasets.Value("float64"), |
|
"ray_5": datasets.Value("float64"), |
|
"ray_6": datasets.Value("float64"), |
|
"ray_7": datasets.Value("float64"), |
|
"ray_8": datasets.Value("float64"), |
|
"ray_9": datasets.Value("float64"), |
|
"ray_10": datasets.Value("float64"), |
|
"ray_11": datasets.Value("float64"), |
|
"ray_12": datasets.Value("float64"), |
|
"ray_13": datasets.Value("float64"), |
|
"ray_14": datasets.Value("float64"), |
|
"ray_15": datasets.Value("float64"), |
|
"ray_16": datasets.Value("float64"), |
|
"ray_17": datasets.Value("float64"), |
|
"ray_18": datasets.Value("float64"), |
|
"ray_19": datasets.Value("float64"), |
|
"ray_20": datasets.Value("float64"), |
|
"ray_21": datasets.Value("float64"), |
|
"ray_22": datasets.Value("float64"), |
|
"ray_23": datasets.Value("float64"), |
|
"ray_24": datasets.Value("float64"), |
|
"ray_25": datasets.Value("float64"), |
|
"ray_26": datasets.Value("float64"), |
|
"ray_27": datasets.Value("float64"), |
|
"ray_28": datasets.Value("float64"), |
|
"ray_29": datasets.Value("float64"), |
|
"ray_30": datasets.Value("float64"), |
|
"ray_31": datasets.Value("float64"), |
|
"ray_32": datasets.Value("float64"), |
|
"ray_33": datasets.Value("float64"), |
|
"ray_34": datasets.Value("float64"), |
|
"ray_35": datasets.Value("float64"), |
|
"ray_36": datasets.Value("float64"), |
|
"ray_37": datasets.Value("float64"), |
|
"ray_38": datasets.Value("float64"), |
|
"ray_39": datasets.Value("float64"), |
|
"ray_40": datasets.Value("float64"), |
|
"ray_41": datasets.Value("float64"), |
|
"ray_42": datasets.Value("float64"), |
|
"ray_43": datasets.Value("float64"), |
|
"ray_44": datasets.Value("float64"), |
|
"ray_45": datasets.Value("float64"), |
|
"ray_46": datasets.Value("float64"), |
|
"ray_47": datasets.Value("float64"), |
|
"ray_48": datasets.Value("float64"), |
|
"ray_49": datasets.Value("float64"), |
|
"ray_50": datasets.Value("float64"), |
|
"ray_51": datasets.Value("float64"), |
|
"ray_52": datasets.Value("float64"), |
|
"ray_53": datasets.Value("float64"), |
|
"ray_54": datasets.Value("float64"), |
|
"ray_55": datasets.Value("float64"), |
|
"ray_56": datasets.Value("float64"), |
|
"ray_57": datasets.Value("float64"), |
|
"ray_58": datasets.Value("float64"), |
|
"ray_59": datasets.Value("float64"), |
|
"ray_60": datasets.Value("float64"), |
|
"ray_61": datasets.Value("float64"), |
|
"oxy_distance": datasets.Value("float64"), |
|
"displacement_1": datasets.Value("float64"), |
|
"displacement_2": datasets.Value("float64"), |
|
"displacement_3": datasets.Value("float64"), |
|
"is_musk": datasets.ClassLabel(num_classes=2, names=("no", "yes")) |
|
}, |
|
"musk2": { |
|
"ray_0": datasets.Value("float64"), |
|
"ray_1": datasets.Value("float64"), |
|
"ray_2": datasets.Value("float64"), |
|
"ray_3": datasets.Value("float64"), |
|
"ray_4": datasets.Value("float64"), |
|
"ray_5": datasets.Value("float64"), |
|
"ray_6": datasets.Value("float64"), |
|
"ray_7": datasets.Value("float64"), |
|
"ray_8": datasets.Value("float64"), |
|
"ray_9": datasets.Value("float64"), |
|
"ray_10": datasets.Value("float64"), |
|
"ray_11": datasets.Value("float64"), |
|
"ray_12": datasets.Value("float64"), |
|
"ray_13": datasets.Value("float64"), |
|
"ray_14": datasets.Value("float64"), |
|
"ray_15": datasets.Value("float64"), |
|
"ray_16": datasets.Value("float64"), |
|
"ray_17": datasets.Value("float64"), |
|
"ray_18": datasets.Value("float64"), |
|
"ray_19": datasets.Value("float64"), |
|
"ray_20": datasets.Value("float64"), |
|
"ray_21": datasets.Value("float64"), |
|
"ray_22": datasets.Value("float64"), |
|
"ray_23": datasets.Value("float64"), |
|
"ray_24": datasets.Value("float64"), |
|
"ray_25": datasets.Value("float64"), |
|
"ray_26": datasets.Value("float64"), |
|
"ray_27": datasets.Value("float64"), |
|
"ray_28": datasets.Value("float64"), |
|
"ray_29": datasets.Value("float64"), |
|
"ray_30": datasets.Value("float64"), |
|
"ray_31": datasets.Value("float64"), |
|
"ray_32": datasets.Value("float64"), |
|
"ray_33": datasets.Value("float64"), |
|
"ray_34": datasets.Value("float64"), |
|
"ray_35": datasets.Value("float64"), |
|
"ray_36": datasets.Value("float64"), |
|
"ray_37": datasets.Value("float64"), |
|
"ray_38": datasets.Value("float64"), |
|
"ray_39": datasets.Value("float64"), |
|
"ray_40": datasets.Value("float64"), |
|
"ray_41": datasets.Value("float64"), |
|
"ray_42": datasets.Value("float64"), |
|
"ray_43": datasets.Value("float64"), |
|
"ray_44": datasets.Value("float64"), |
|
"ray_45": datasets.Value("float64"), |
|
"ray_46": datasets.Value("float64"), |
|
"ray_47": datasets.Value("float64"), |
|
"ray_48": datasets.Value("float64"), |
|
"ray_49": datasets.Value("float64"), |
|
"ray_50": datasets.Value("float64"), |
|
"ray_51": datasets.Value("float64"), |
|
"ray_52": datasets.Value("float64"), |
|
"ray_53": datasets.Value("float64"), |
|
"ray_54": datasets.Value("float64"), |
|
"ray_55": datasets.Value("float64"), |
|
"ray_56": datasets.Value("float64"), |
|
"ray_57": datasets.Value("float64"), |
|
"ray_58": datasets.Value("float64"), |
|
"ray_59": datasets.Value("float64"), |
|
"ray_60": datasets.Value("float64"), |
|
"ray_61": datasets.Value("float64"), |
|
"oxy_distance": datasets.Value("float64"), |
|
"displacement_1": datasets.Value("float64"), |
|
"displacement_2": datasets.Value("float64"), |
|
"displacement_3": datasets.Value("float64"), |
|
"is_musk": datasets.ClassLabel(num_classes=2, names=("no", "yes")) |
|
} |
|
} |
|
features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config} |
|
|
|
|
|
class MuskConfig(datasets.BuilderConfig): |
|
def __init__(self, **kwargs): |
|
super(MuskConfig, self).__init__(version=VERSION, **kwargs) |
|
self.features = features_per_config[kwargs["name"]] |
|
|
|
|
|
class Musk(datasets.GeneratorBasedBuilder): |
|
|
|
DEFAULT_CONFIG = "musk1" |
|
BUILDER_CONFIGS = [ |
|
MuskConfig(name="musk1", |
|
description="Musk for binary classification."), |
|
MuskConfig(name="musk2", |
|
description="Musk for binary classification."), |
|
] |
|
|
|
|
|
def _info(self): |
|
info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE, |
|
features=features_per_config[self.config.name]) |
|
|
|
return info |
|
|
|
def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: |
|
downloads = dl_manager.download_and_extract(urls_per_split) |
|
|
|
return [ |
|
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads[self.config.name]["train"]}) |
|
] |
|
|
|
def _generate_examples(self, filepath: str): |
|
data = pandas.read_csv(filepath, header=None) |
|
data.columns = _BASE_FEATURE_NAMES |
|
data = data.drop("name", axis="columns", inplace=True) |
|
data = data.drop("conformation_name", axis="columns", inplace=True) |
|
|
|
for row_id, row in data.iterrows(): |
|
data_row = dict(row) |
|
|
|
yield row_id, data_row |
|
|
