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Datasets:
mstz
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splice

Tasks:
Tabular Classification
Modalities:
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Languages:
English
Size:
10K - 100K
Tags:
splice
tabular_classification
binary_classification
multiclass_classification
UCI
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splice / splice.py
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"""Splice Dataset"""
from typing import List
from functools import partial
import datasets
import pandas
VERSION = datasets.Version("1.0.0")
_ENCODING_DICS = {}
DESCRIPTION = "Splice dataset."
_HOMEPAGE = "https://archive-beta.ics.uci.edu/dataset/69/molecular+biology+splice+junction+gene+sequences"
_URLS = ("https://archive-beta.ics.uci.edu/dataset/69/molecular+biology+splice+junction+gene+sequences")
_CITATION = """
@misc{misc_molecular_biology_(splice-junction_gene_sequences)_69,
 title = {{Molecular Biology (Splice-junction Gene Sequences)}},
 year = {1992},
 howpublished = {UCI Machine Learning Repository},
 note = {{DOI}: \\url{10.24432/C5M888}}
}
"""
# Dataset info
urls_per_split = {
 "train": "https://huggingface.co/datasets/mstz/splice/raw/main/splice.data"
}
features_types_per_config = {
 "splice": {
 "position_0": datasets.Value("string"),
 "position_1": datasets.Value("string"),
 "position_2": datasets.Value("string"),
 "position_3": datasets.Value("string"),
 "position_4": datasets.Value("string"),
 "position_5": datasets.Value("string"),
 "position_6": datasets.Value("string"),
 "position_7": datasets.Value("string"),
 "position_8": datasets.Value("string"),
 "position_9": datasets.Value("string"),
 "position_10": datasets.Value("string"),
 "position_11": datasets.Value("string"),
 "position_12": datasets.Value("string"),
 "position_13": datasets.Value("string"),
 "position_14": datasets.Value("string"),
 "position_15": datasets.Value("string"),
 "position_16": datasets.Value("string"),
 "position_17": datasets.Value("string"),
 "position_18": datasets.Value("string"),
 "position_19": datasets.Value("string"),
 "position_20": datasets.Value("string"),
 "position_21": datasets.Value("string"),
 "position_22": datasets.Value("string"),
 "position_23": datasets.Value("string"),
 "position_24": datasets.Value("string"),
 "position_25": datasets.Value("string"),
 "position_26": datasets.Value("string"),
 "position_27": datasets.Value("string"),
 "position_28": datasets.Value("string"),
 "position_29": datasets.Value("string"),
 "position_30": datasets.Value("string"),
 "position_31": datasets.Value("string"),
 "position_32": datasets.Value("string"),
 "position_33": datasets.Value("string"),
 "position_34": datasets.Value("string"),
 "position_35": datasets.Value("string"),
 "position_36": datasets.Value("string"),
 "position_37": datasets.Value("string"),
 "position_38": datasets.Value("string"),
 "position_39": datasets.Value("string"),
 "position_40": datasets.Value("string"),
 "position_41": datasets.Value("string"),
 "position_42": datasets.Value("string"),
 "position_43": datasets.Value("string"),
 "position_44": datasets.Value("string"),
 "position_45": datasets.Value("string"),
 "position_46": datasets.Value("string"),
 "position_47": datasets.Value("string"),
 "position_48": datasets.Value("string"),
 "position_49": datasets.Value("string"),
 "position_50": datasets.Value("string"),
 "position_51": datasets.Value("string"),
 "position_52": datasets.Value("string"),
 "position_53": datasets.Value("string"),
 "position_54": datasets.Value("string"),
 "position_55": datasets.Value("string"),
 "position_56": datasets.Value("string"),
 "position_57": datasets.Value("string"),
 "position_58": datasets.Value("string"),
 "position_59": datasets.Value("string"),
 "class": datasets.ClassLabel(num_classes=3, names=("EI", "IE", "N"))
 },
 "splice_EI": {
 "position_0": datasets.Value("string"),
 "position_1": datasets.Value("string"),
 "position_2": datasets.Value("string"),
 "position_3": datasets.Value("string"),
 "position_4": datasets.Value("string"),
 "position_5": datasets.Value("string"),
 "position_6": datasets.Value("string"),
 "position_7": datasets.Value("string"),
 "position_8": datasets.Value("string"),
 "position_9": datasets.Value("string"),
 "position_10": datasets.Value("string"),
 "position_11": datasets.Value("string"),
 "position_12": datasets.Value("string"),
 "position_13": datasets.Value("string"),
 "position_14": datasets.Value("string"),
 "position_15": datasets.Value("string"),
 "position_16": datasets.Value("string"),
 "position_17": datasets.Value("string"),
 "position_18": datasets.Value("string"),
 "position_19": datasets.Value("string"),
 "position_20": datasets.Value("string"),
 "position_21": datasets.Value("string"),
 "position_22": datasets.Value("string"),
 "position_23": datasets.Value("string"),
 "position_24": datasets.Value("string"),
 "position_25": datasets.Value("string"),
 "position_26": datasets.Value("string"),
 "position_27": datasets.Value("string"),
 "position_28": datasets.Value("string"),
 "position_29": datasets.Value("string"),
 "position_30": datasets.Value("string"),
 "position_31": datasets.Value("string"),
 "position_32": datasets.Value("string"),
 "position_33": datasets.Value("string"),
 "position_34": datasets.Value("string"),
 "position_35": datasets.Value("string"),
 "position_36": datasets.Value("string"),
 "position_37": datasets.Value("string"),
 "position_38": datasets.Value("string"),
 "position_39": datasets.Value("string"),
 "position_40": datasets.Value("string"),
 "position_41": datasets.Value("string"),
 "position_42": datasets.Value("string"),
 "position_43": datasets.Value("string"),
 "position_44": datasets.Value("string"),
 "position_45": datasets.Value("string"),
 "position_46": datasets.Value("string"),
 "position_47": datasets.Value("string"),
 "position_48": datasets.Value("string"),
 "position_49": datasets.Value("string"),
 "position_50": datasets.Value("string"),
 "position_51": datasets.Value("string"),
 "position_52": datasets.Value("string"),
 "position_53": datasets.Value("string"),
 "position_54": datasets.Value("string"),
 "position_55": datasets.Value("string"),
 "position_56": datasets.Value("string"),
 "position_57": datasets.Value("string"),
 "position_58": datasets.Value("string"),
 "position_59": datasets.Value("string"),
 "is_ei": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
 },
 "splice_IE": {
 "position_0": datasets.Value("string"),
 "position_1": datasets.Value("string"),
 "position_2": datasets.Value("string"),
 "position_3": datasets.Value("string"),
 "position_4": datasets.Value("string"),
 "position_5": datasets.Value("string"),
 "position_6": datasets.Value("string"),
 "position_7": datasets.Value("string"),
 "position_8": datasets.Value("string"),
 "position_9": datasets.Value("string"),
 "position_10": datasets.Value("string"),
 "position_11": datasets.Value("string"),
 "position_12": datasets.Value("string"),
 "position_13": datasets.Value("string"),
 "position_14": datasets.Value("string"),
 "position_15": datasets.Value("string"),
 "position_16": datasets.Value("string"),
 "position_17": datasets.Value("string"),
 "position_18": datasets.Value("string"),
 "position_19": datasets.Value("string"),
 "position_20": datasets.Value("string"),
 "position_21": datasets.Value("string"),
 "position_22": datasets.Value("string"),
 "position_23": datasets.Value("string"),
 "position_24": datasets.Value("string"),
 "position_25": datasets.Value("string"),
 "position_26": datasets.Value("string"),
 "position_27": datasets.Value("string"),
 "position_28": datasets.Value("string"),
 "position_29": datasets.Value("string"),
 "position_30": datasets.Value("string"),
 "position_31": datasets.Value("string"),
 "position_32": datasets.Value("string"),
 "position_33": datasets.Value("string"),
 "position_34": datasets.Value("string"),
 "position_35": datasets.Value("string"),
 "position_36": datasets.Value("string"),
 "position_37": datasets.Value("string"),
 "position_38": datasets.Value("string"),
 "position_39": datasets.Value("string"),
 "position_40": datasets.Value("string"),
 "position_41": datasets.Value("string"),
 "position_42": datasets.Value("string"),
 "position_43": datasets.Value("string"),
 "position_44": datasets.Value("string"),
 "position_45": datasets.Value("string"),
 "position_46": datasets.Value("string"),
 "position_47": datasets.Value("string"),
 "position_48": datasets.Value("string"),
 "position_49": datasets.Value("string"),
 "position_50": datasets.Value("string"),
 "position_51": datasets.Value("string"),
 "position_52": datasets.Value("string"),
 "position_53": datasets.Value("string"),
 "position_54": datasets.Value("string"),
 "position_55": datasets.Value("string"),
 "position_56": datasets.Value("string"),
 "position_57": datasets.Value("string"),
 "position_58": datasets.Value("string"),
 "position_59": datasets.Value("string"),
 "is_ie": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
 },
 "splice_N": {
 "position_0": datasets.Value("string"),
 "position_1": datasets.Value("string"),
 "position_2": datasets.Value("string"),
 "position_3": datasets.Value("string"),
 "position_4": datasets.Value("string"),
 "position_5": datasets.Value("string"),
 "position_6": datasets.Value("string"),
 "position_7": datasets.Value("string"),
 "position_8": datasets.Value("string"),
 "position_9": datasets.Value("string"),
 "position_10": datasets.Value("string"),
 "position_11": datasets.Value("string"),
 "position_12": datasets.Value("string"),
 "position_13": datasets.Value("string"),
 "position_14": datasets.Value("string"),
 "position_15": datasets.Value("string"),
 "position_16": datasets.Value("string"),
 "position_17": datasets.Value("string"),
 "position_18": datasets.Value("string"),
 "position_19": datasets.Value("string"),
 "position_20": datasets.Value("string"),
 "position_21": datasets.Value("string"),
 "position_22": datasets.Value("string"),
 "position_23": datasets.Value("string"),
 "position_24": datasets.Value("string"),
 "position_25": datasets.Value("string"),
 "position_26": datasets.Value("string"),
 "position_27": datasets.Value("string"),
 "position_28": datasets.Value("string"),
 "position_29": datasets.Value("string"),
 "position_30": datasets.Value("string"),
 "position_31": datasets.Value("string"),
 "position_32": datasets.Value("string"),
 "position_33": datasets.Value("string"),
 "position_34": datasets.Value("string"),
 "position_35": datasets.Value("string"),
 "position_36": datasets.Value("string"),
 "position_37": datasets.Value("string"),
 "position_38": datasets.Value("string"),
 "position_39": datasets.Value("string"),
 "position_40": datasets.Value("string"),
 "position_41": datasets.Value("string"),
 "position_42": datasets.Value("string"),
 "position_43": datasets.Value("string"),
 "position_44": datasets.Value("string"),
 "position_45": datasets.Value("string"),
 "position_46": datasets.Value("string"),
 "position_47": datasets.Value("string"),
 "position_48": datasets.Value("string"),
 "position_49": datasets.Value("string"),
 "position_50": datasets.Value("string"),
 "position_51": datasets.Value("string"),
 "position_52": datasets.Value("string"),
 "position_53": datasets.Value("string"),
 "position_54": datasets.Value("string"),
 "position_55": datasets.Value("string"),
 "position_56": datasets.Value("string"),
 "position_57": datasets.Value("string"),
 "position_58": datasets.Value("string"),
 "position_59": datasets.Value("string"),
 "is_n": 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 SpliceConfig(datasets.BuilderConfig):
 def __init__(self, **kwargs):
 super(SpliceConfig, self).__init__(version=VERSION, **kwargs)
 self.features = features_per_config[kwargs["name"]]
class Splice(datasets.GeneratorBasedBuilder):
 # dataset versions
 DEFAULT_CONFIG = "splice1"
 BUILDER_CONFIGS = [
 SpliceConfig(name="splice",
 description="Splice for multiclass classification."),
 SpliceConfig(name="splice_IE",
 description="Splice for binary classification."),
 SpliceConfig(name="splice_EI",
 description="Splice for binary classification."),
 SpliceConfig(name="splice_N",
 description="Splice 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)
 data = self.preprocess(data)
for row_id, row in data.iterrows():
 data_row = dict(row)
yield row_id, data_row
def preprocess(self, data: pandas.DataFrame) -> pandas.DataFrame:
 if self.config.name == "splice_IE":
 data["class"] = data["class"].apply(lambda x: 1 if x == "IE" else 0)
 data = data.rename(columns={"class": "is_ie"})
 elif self.config.name == "splice_EI":
 data["class"] = data["class"].apply(lambda x: 1 if x == "EI" else 0)
 data = data.rename(columns={"class": "is_ei"})
 elif self.config.name == "splice_N":
 data["class"] = data["class"].apply(lambda x: 1 if x == "N" else 0)
 data = data.rename(columns={"class": "is_n"})
 else:
 data["class"] = data["class"].apply(lambda x: {
 "EI": 0,
 "IE": 1,
 "N": 2,
 }[x])
for feature in _ENCODING_DICS:
 encoding_function = partial(self.encode, feature)
 data.loc[:, feature] = data[feature].apply(encoding_function)
return data[list(features_types_per_config[self.config.name].keys())]
def encode(self, feature, value):
 if feature in _ENCODING_DICS:
 return _ENCODING_DICS[feature][value]
 raise ValueError(f"Unknown feature: {feature}")