"""Promoters""" from typing import List from functools import partial import datasets import pandas VERSION = datasets.Version("1.0.0") DESCRIPTION = "Promoters dataset from the UCI ML repository." _HOMEPAGE = "https://archive.ics.uci.edu/ml/datasets/Promoters" _URLS = ("https://archive.ics.uci.edu/ml/datasets/Promoters") _CITATION = """ @misc{misc_molecular_biology_(promoter_gene_sequences)_67, author = {Harley,C., Reynolds,R. & Noordewier,M.}, title = {{Molecular Biology (Promoter Gene Sequences)}}, year = {1990}, howpublished = {UCI Machine Learning Repository}, note = {{DOI}: \\url{10.24432/C5S01D}} }""" # Dataset info urls_per_split = { "train": "https://huggingface.co/datasets/mstz/promoters/raw/main/promoters.data" } features_types_per_config = { "promoters": { "seq_0": datasets.Value("string"), "seq_1": datasets.Value("string"), "seq_2": datasets.Value("string"), "seq_3": datasets.Value("string"), "seq_4": datasets.Value("string"), "seq_5": datasets.Value("string"), "seq_6": datasets.Value("string"), "seq_7": datasets.Value("string"), "seq_8": datasets.Value("string"), "seq_9": datasets.Value("string"), "seq_10": datasets.Value("string"), "seq_11": datasets.Value("string"), "seq_12": datasets.Value("string"), "seq_13": datasets.Value("string"), "seq_14": datasets.Value("string"), "seq_15": datasets.Value("string"), "seq_16": datasets.Value("string"), "seq_17": datasets.Value("string"), "seq_18": datasets.Value("string"), "seq_19": datasets.Value("string"), "seq_20": datasets.Value("string"), "seq_21": datasets.Value("string"), "seq_22": datasets.Value("string"), "seq_23": datasets.Value("string"), "seq_24": datasets.Value("string"), "seq_25": datasets.Value("string"), "seq_26": datasets.Value("string"), "seq_27": datasets.Value("string"), "seq_28": datasets.Value("string"), "seq_29": datasets.Value("string"), "seq_30": datasets.Value("string"), "seq_31": datasets.Value("string"), "seq_32": datasets.Value("string"), "seq_33": datasets.Value("string"), "seq_34": datasets.Value("string"), "seq_35": datasets.Value("string"), "seq_36": datasets.Value("string"), "seq_37": datasets.Value("string"), "seq_38": datasets.Value("string"), "seq_39": datasets.Value("string"), "seq_40": datasets.Value("string"), "seq_41": datasets.Value("string"), "seq_42": datasets.Value("string"), "seq_43": datasets.Value("string"), "seq_44": datasets.Value("string"), "seq_45": datasets.Value("string"), "seq_46": datasets.Value("string"), "seq_47": datasets.Value("string"), "seq_48": datasets.Value("string"), "seq_49": datasets.Value("string"), "seq_50": datasets.Value("string"), "seq_51": datasets.Value("string"), "seq_52": datasets.Value("string"), "seq_53": datasets.Value("string"), "seq_54": datasets.Value("string"), "seq_55": datasets.Value("string"), "seq_56": datasets.Value("string"), "class": 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 PromotersConfig(datasets.BuilderConfig): def __init__(self, **kwargs): super(PromotersConfig, self).__init__(version=VERSION, **kwargs) self.features = features_per_config[kwargs["name"]] class Promoters(datasets.GeneratorBasedBuilder): # dataset versions DEFAULT_CONFIG = "promoters" BUILDER_CONFIGS = [ PromotersConfig(name="promoters", description="Promoters 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["train"]}) ] def _generate_examples(self, filepath: str): data = pandas.read_csv(filepath) for row_id, row in data.iterrows(): data_row = dict(row) yield row_id, data_row