Datasets:

mstz
/

arhythmia

 ---
+language:
+- en
+tags:
+- arrhythmia
+- tabular_classification
+- multiclass_classification
+pretty_name: Arrhythmia
+size_categories:
+- 100<n<1K
+task_categories:  # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
+- tabular-classification
+configs:
+- arrhytmia
 ---
+# Arrhythmia
+The [Arrhythmia dataset](https://archive.ics.uci.edu/ml/datasets/Arrhythmia) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
+# Configurations and tasks
+| **Configuration** | **Task**                  | Description                                                   |
+|-------------------|---------------------------|---------------------------------------------------------------|
+| arrhytmia         | Multiclass classification | Classify the arrhytmia type of the patient.                   |
+# Usage
+```
+from datasets import load_dataset
+from sklearn.tree import DecisionTreeClassifier
+dataset = load_dataset("mstz/arrhythmia", "arrhytmia")["train"]
+```

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arrhythmia.py ADDED Viewed

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+from typing import List
+from functools import partial
+import datasets
+import pandas
+VERSION = datasets.Version("1.0.0")
+DESCRIPTION = "Arrhytmia dataset from the UCI ML repository."
+_HOMEPAGE = "https://archive-beta.ics.uci.edu/dataset/5/arrhythmia"
+_URLS = ("https://archive-beta.ics.uci.edu/dataset/5/arrhythmia")
+_CITATION = """
+@misc{misc_arrhythmia_5,
+  author       = {Guvenir,H., Acar,Burak & Muderrisoglu,Haldun},
+  title        = {{Arrhythmia}},
+  year         = {1998},
+  howpublished = {UCI Machine Learning Repository},
+  note         = {{DOI}: \\url{10.24432/C5BS32}}
+}"""
+# Dataset info
+urls_per_split = {
+    "train": "https://huggingface.co/datasets/mstz/adult/raw/main/arrhythmia.data"
+}
+features_types_per_config = {
+    "arrhythmia": {
+        "age": datasets.Value("int8"),
+        "is_female": datasets.Value("bool"),
+        "height": datasets.Value("float64"),
+        "qrs_duration": datasets.Value("float64"),
+        "p_r_interval": datasets.Value("float64"),
+        "q_t_interval": datasets.Value("float64"),
+        "t_interval": datasets.Value("float64"),
+        "p_interval": datasets.Value("float64"),
+        "qrs": datasets.Value("float64"),
+        "t": datasets.Value("float64"),
+        "p": datasets.Value("float64"),
+        "qrst": datasets.Value("float64"),
+        "j": datasets.Value("float64"),
+        "heart_rate": datasets.Value("float64"),
+        "average_witdth_of_wave_q_on_DI": datasets.Value("float64"),
+        "average_witdth_of_wave_r_on_DI": datasets.Value("float64"),
+        "average_witdth_of_wave_s_on_DI": datasets.Value("float64"),
+        "average_witdth_of_wave_rprime_on_DI": datasets.Value("float64"),
+        "average_witdth_of_wave_sprime_on_DI": datasets.Value("float64"),
+        "number_of_deflections_on_DI": datasets.Value("float64"),
+        "type_of_ragged_r_wave_on_DI": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_r_wave_on_DI": datasets.Value("float64"),
+        "type_of_ragged_p_wave_on_DI": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_p_wave_on_DI": datasets.Value("float64"),
+        "type_of_ragged_t_wave_on_DI": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_t_wave_on_DI": datasets.Value("float64"),
+        "average_witdth_of_wave_q_on_DII": datasets.Value("float64"),
+        "average_witdth_of_wave_r_on_DII": datasets.Value("float64"),
+        "average_witdth_of_wave_s_on_DII": datasets.Value("float64"),
+        "average_witdth_of_wave_rprime_on_DII": datasets.Value("float64"),
+        "average_witdth_of_wave_sprime_on_DII": datasets.Value("float64"),
+        "number_of_deflections_on_DII": datasets.Value("float64"),
+        "type_of_ragged_r_wave_on_DII": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_r_wave_on_DII": datasets.Value("float64"),
+        "type_of_ragged_p_wave_on_DII": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_p_wave_on_DII": datasets.Value("float64"),
+        "type_of_ragged_t_wave_on_DII": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_t_wave_on_DII": datasets.Value("float64"),
+        "average_witdth_of_wave_q_on_DIII": datasets.Value("float64"),
+        "average_witdth_of_wave_r_on_DIII": datasets.Value("float64"),
+        "average_witdth_of_wave_s_on_DIII": datasets.Value("float64"),
+        "average_witdth_of_wave_rprime_on_DIII": datasets.Value("float64"),
+        "average_witdth_of_wave_sprime_on_DIII": datasets.Value("float64"),
+        "number_of_deflections_on_DIII": datasets.Value("float64"),
+        "type_of_ragged_r_wave_on_DIII": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_r_wave_on_DIII": datasets.Value("float64"),
+        "type_of_ragged_p_wave_on_DIII": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_p_wave_on_DIII": datasets.Value("float64"),
+        "type_of_ragged_t_wave_on_DIII": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_t_wave_on_DIII": datasets.Value("float64"),
+        "average_witdth_of_wave_q_on_AVR": datasets.Value("float64"),
+        "average_witdth_of_wave_r_on_AVR": datasets.Value("float64"),
+        "average_witdth_of_wave_s_on_AVR": datasets.Value("float64"),
+        "average_witdth_of_wave_rprime_on_AVR": datasets.Value("float64"),
+        "average_witdth_of_wave_sprime_on_AVR": datasets.Value("float64"),
+        "number_of_deflections_on_AVR": datasets.Value("float64"),
+        "type_of_ragged_r_wave_on_AVR": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_r_wave_on_AVR": datasets.Value("float64"),
+        "type_of_ragged_p_wave_on_AVR": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_p_wave_on_AVR": datasets.Value("float64"),
+        "type_of_ragged_t_wave_on_AVR": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_t_wave_on_AVR": datasets.Value("float64"),
+        "average_witdth_of_wave_q_on_AVL": datasets.Value("float64"),
+        "average_witdth_of_wave_r_on_AVL": datasets.Value("float64"),
+        "average_witdth_of_wave_s_on_AVL": datasets.Value("float64"),
+        "average_witdth_of_wave_rprime_on_AVL": datasets.Value("float64"),
+        "average_witdth_of_wave_sprime_on_AVL": datasets.Value("float64"),
+        "number_of_deflections_on_AVL": datasets.Value("float64"),
+        "type_of_ragged_r_wave_on_AVL": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_r_wave_on_AVL": datasets.Value("float64"),
+        "type_of_ragged_p_wave_on_AVL": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_p_wave_on_AVL": datasets.Value("float64"),
+        "type_of_ragged_t_wave_on_AVL": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_t_wave_on_AVL": datasets.Value("float64"),
+        "average_witdth_of_wave_q_on_AVF": datasets.Value("float64"),
+        "average_witdth_of_wave_r_on_AVF": datasets.Value("float64"),
+        "average_witdth_of_wave_s_on_AVF": datasets.Value("float64"),
+        "average_witdth_of_wave_rprime_on_AVF": datasets.Value("float64"),
+        "average_witdth_of_wave_sprime_on_AVF": datasets.Value("float64"),
+        "number_of_deflections_on_AVF": datasets.Value("float64"),
+        "type_of_ragged_r_wave_on_AVF": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_r_wave_on_AVF": datasets.Value("float64"),
+        "type_of_ragged_p_wave_on_AVF": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_p_wave_on_AVF": datasets.Value("float64"),
+        "type_of_ragged_t_wave_on_AVF": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_t_wave_on_AVF": datasets.Value("float64"),
+        "average_witdth_of_wave_q_on_V1": datasets.Value("float64"),
+        "average_witdth_of_wave_r_on_V1": datasets.Value("float64"),
+        "average_witdth_of_wave_s_on_V1": datasets.Value("float64"),
+        "average_witdth_of_wave_rprime_on_V1": datasets.Value("float64"),
+        "average_witdth_of_wave_sprime_on_V1": datasets.Value("float64"),
+        "number_of_deflections_on_V1": datasets.Value("float64"),
+        "type_of_ragged_r_wave_on_V1": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_r_wave_on_V1": datasets.Value("float64"),
+        "type_of_ragged_p_wave_on_V1": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_p_wave_on_V1": datasets.Value("float64"),
+        "type_of_ragged_t_wave_on_V1": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_t_wave_on_V1": datasets.Value("float64"),
+        "average_witdth_of_wave_q_on_V2": datasets.Value("float64"),
+        "average_witdth_of_wave_r_on_V2": datasets.Value("float64"),
+        "average_witdth_of_wave_s_on_V2": datasets.Value("float64"),
+        "average_witdth_of_wave_rprime_on_V2": datasets.Value("float64"),
+        "average_witdth_of_wave_sprime_on_V2": datasets.Value("float64"),
+        "number_of_deflections_on_V2": datasets.Value("float64"),
+        "type_of_ragged_r_wave_on_V2": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_r_wave_on_V2": datasets.Value("float64"),
+        "type_of_ragged_p_wave_on_V2": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_p_wave_on_V2": datasets.Value("float64"),
+        "type_of_ragged_t_wave_on_V2": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_t_wave_on_V2": datasets.Value("float64"),
+        "average_witdth_of_wave_q_on_V3": datasets.Value("float64"),
+        "average_witdth_of_wave_r_on_V3": datasets.Value("float64"),
+        "average_witdth_of_wave_s_on_V3": datasets.Value("float64"),
+        "average_witdth_of_wave_rprime_on_V3": datasets.Value("float64"),
+        "average_witdth_of_wave_sprime_on_V3": datasets.Value("float64"),
+        "number_of_deflections_on_V3": datasets.Value("float64"),
+        "type_of_ragged_r_wave_on_V3": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_r_wave_on_V3": datasets.Value("float64"),
+        "type_of_ragged_p_wave_on_V3": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_p_wave_on_V3": datasets.Value("float64"),
+        "type_of_ragged_t_wave_on_V3": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_t_wave_on_V3": datasets.Value("float64"),
+        "average_witdth_of_wave_q_on_V4": datasets.Value("float64"),
+        "average_witdth_of_wave_r_on_V4": datasets.Value("float64"),
+        "average_witdth_of_wave_s_on_V4": datasets.Value("float64"),
+        "average_witdth_of_wave_rprime_on_V4": datasets.Value("float64"),
+        "average_witdth_of_wave_sprime_on_V4": datasets.Value("float64"),
+        "number_of_deflections_on_V4": datasets.Value("float64"),
+        "type_of_ragged_r_wave_on_V4": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_r_wave_on_V4": datasets.Value("float64"),
+        "type_of_ragged_p_wave_on_V4": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_p_wave_on_V4": datasets.Value("float64"),
+        "type_of_ragged_t_wave_on_V4": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_t_wave_on_V4": datasets.Value("float64"),
+        "average_witdth_of_wave_q_on_V5": datasets.Value("float64"),
+        "average_witdth_of_wave_r_on_V5": datasets.Value("float64"),
+        "average_witdth_of_wave_s_on_V5": datasets.Value("float64"),
+        "average_witdth_of_wave_rprime_on_V5": datasets.Value("float64"),
+        "average_witdth_of_wave_sprime_on_V5": datasets.Value("float64"),
+        "number_of_deflections_on_V5": datasets.Value("float64"),
+        "type_of_ragged_r_wave_on_V5": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_r_wave_on_V5": datasets.Value("float64"),
+        "type_of_ragged_p_wave_on_V5": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_p_wave_on_V5": datasets.Value("float64"),
+        "type_of_ragged_t_wave_on_V5": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_t_wave_on_V5": datasets.Value("float64"),
+        "average_witdth_of_wave_q_on_V6": datasets.Value("float64"),
+        "average_witdth_of_wave_r_on_V6": datasets.Value("float64"),
+        "average_witdth_of_wave_s_on_V6": datasets.Value("float64"),
+        "average_witdth_of_wave_rprime_on_V6": datasets.Value("float64"),
+        "average_witdth_of_wave_sprime_on_V6": datasets.Value("float64"),
+        "number_of_deflections_on_V6": datasets.Value("float64"),
+        "type_of_ragged_r_wave_on_V6": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_r_wave_on_V6": datasets.Value("float64"),
+        "type_of_ragged_p_wave_on_V6": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_p_wave_on_V6": datasets.Value("float64"),
+        "type_of_ragged_t_wave_on_V6": datasets.Value("float64"),
+        "type_of_diphasic_derivation_of_t_wave_on_V6": datasets.Value("float64"),
+        "amplitude_of_jj_wave_on_DI": datasets.Value("float64"),
+        "amplitude_of_q_wave_on_DI": datasets.Value("float64"),
+        "amplitude_of_r_wave_on_DI": datasets.Value("float64"),
+        "amplitude_of_s_wave_on_DI": datasets.Value("float64"),
+        "amplitude_of_rprime_wave_on_DI": datasets.Value("float64"),
+        "amplitude_of_sprime_wave_on_DI": datasets.Value("float64"),
+        "amplitude_of_p_wave_on_DI": datasets.Value("float64"),
+        "amplitude_of_t_wave_on_DI": datasets.Value("float64"),
+        "qrsa_on_DI": datasets.Value("float64"),
+        "qrsta_on_DI": datasets.Value("float64"),
+        "amplitude_of_jj_wave_on_DII": datasets.Value("float64"),
+        "amplitude_of_q_wave_on_DII": datasets.Value("float64"),
+        "amplitude_of_r_wave_on_DII": datasets.Value("float64"),
+        "amplitude_of_s_wave_on_DII": datasets.Value("float64"),
+        "amplitude_of_rprime_wave_on_DII": datasets.Value("float64"),
+        "amplitude_of_sprime_wave_on_DII": datasets.Value("float64"),
+        "amplitude_of_p_wave_on_DII": datasets.Value("float64"),
+        "amplitude_of_t_wave_on_DII": datasets.Value("float64"),
+        "qrsa_on_DII": datasets.Value("float64"),
+        "qrsta_on_DII": datasets.Value("float64"),
+        "amplitude_of_jj_wave_on_DIII": datasets.Value("float64"),
+        "amplitude_of_q_wave_on_DIII": datasets.Value("float64"),
+        "amplitude_of_r_wave_on_DIII": datasets.Value("float64"),
+        "amplitude_of_s_wave_on_DIII": datasets.Value("float64"),
+        "amplitude_of_rprime_wave_on_DIII": datasets.Value("float64"),
+        "amplitude_of_sprime_wave_on_DIII": datasets.Value("float64"),
+        "amplitude_of_p_wave_on_DIII": datasets.Value("float64"),
+        "amplitude_of_t_wave_on_DIII": datasets.Value("float64"),
+        "qrsa_on_DIII": datasets.Value("float64"),
+        "qrsta_on_DIII": datasets.Value("float64"),
+        "amplitude_of_jj_wave_on_AVR": datasets.Value("float64"),
+        "amplitude_of_q_wave_on_AVR": datasets.Value("float64"),
+        "amplitude_of_r_wave_on_AVR": datasets.Value("float64"),
+        "amplitude_of_s_wave_on_AVR": datasets.Value("float64"),
+        "amplitude_of_rprime_wave_on_AVR": datasets.Value("float64"),
+        "amplitude_of_sprime_wave_on_AVR": datasets.Value("float64"),
+        "amplitude_of_p_wave_on_AVR": datasets.Value("float64"),
+        "amplitude_of_t_wave_on_AVR": datasets.Value("float64"),
+        "qrsa_on_AVR": datasets.Value("float64"),
+        "qrsta_on_AVR": datasets.Value("float64"),
+        "amplitude_of_jj_wave_on_AVL": datasets.Value("float64"),
+        "amplitude_of_q_wave_on_AVL": datasets.Value("float64"),
+        "amplitude_of_r_wave_on_AVL": datasets.Value("float64"),
+        "amplitude_of_s_wave_on_AVL": datasets.Value("float64"),
+        "amplitude_of_rprime_wave_on_AVL": datasets.Value("float64"),
+        "amplitude_of_sprime_wave_on_AVL": datasets.Value("float64"),
+        "amplitude_of_p_wave_on_AVL": datasets.Value("float64"),
+        "amplitude_of_t_wave_on_AVL": datasets.Value("float64"),
+        "qrsa_on_AVL": datasets.Value("float64"),
+        "qrsta_on_AVL": datasets.Value("float64"),
+        "amplitude_of_jj_wave_on_AVF": datasets.Value("float64"),
+        "amplitude_of_q_wave_on_AVF": datasets.Value("float64"),
+        "amplitude_of_r_wave_on_AVF": datasets.Value("float64"),
+        "amplitude_of_s_wave_on_AVF": datasets.Value("float64"),
+        "amplitude_of_rprime_wave_on_AVF": datasets.Value("float64"),
+        "amplitude_of_sprime_wave_on_AVF": datasets.Value("float64"),
+        "amplitude_of_p_wave_on_AVF": datasets.Value("float64"),
+        "amplitude_of_t_wave_on_AVF": datasets.Value("float64"),
+        "qrsa_on_AVF": datasets.Value("float64"),
+        "qrsta_on_AVF": datasets.Value("float64"),
+        "amplitude_of_jj_wave_on_V1": datasets.Value("float64"),
+        "amplitude_of_q_wave_on_V1": datasets.Value("float64"),
+        "amplitude_of_r_wave_on_V1": datasets.Value("float64"),
+        "amplitude_of_s_wave_on_V1": datasets.Value("float64"),
+        "amplitude_of_rprime_wave_on_V1": datasets.Value("float64"),
+        "amplitude_of_sprime_wave_on_V1": datasets.Value("float64"),
+        "amplitude_of_p_wave_on_V1": datasets.Value("float64"),
+        "amplitude_of_t_wave_on_V1": datasets.Value("float64"),
+        "qrsa_on_V1": datasets.Value("float64"),
+        "qrsta_on_V1": datasets.Value("float64"),
+        "amplitude_of_jj_wave_on_V2": datasets.Value("float64"),
+        "amplitude_of_q_wave_on_V2": datasets.Value("float64"),
+        "amplitude_of_r_wave_on_V2": datasets.Value("float64"),
+        "amplitude_of_s_wave_on_V2": datasets.Value("float64"),
+        "amplitude_of_rprime_wave_on_V2": datasets.Value("float64"),
+        "amplitude_of_sprime_wave_on_V2": datasets.Value("float64"),
+        "amplitude_of_p_wave_on_V2": datasets.Value("float64"),
+        "amplitude_of_t_wave_on_V2": datasets.Value("float64"),
+        "qrsa_on_V2": datasets.Value("float64"),
+        "qrsta_on_V2": datasets.Value("float64"),
+        "amplitude_of_jj_wave_on_V3": datasets.Value("float64"),
+        "amplitude_of_q_wave_on_V3": datasets.Value("float64"),
+        "amplitude_of_r_wave_on_V3": datasets.Value("float64"),
+        "amplitude_of_s_wave_on_V3": datasets.Value("float64"),
+        "amplitude_of_rprime_wave_on_V3": datasets.Value("float64"),
+        "amplitude_of_sprime_wave_on_V3": datasets.Value("float64"),
+        "amplitude_of_p_wave_on_V3": datasets.Value("float64"),
+        "amplitude_of_t_wave_on_V3": datasets.Value("float64"),
+        "qrsa_on_V3": datasets.Value("float64"),
+        "qrsta_on_V3": datasets.Value("float64"),
+        "amplitude_of_jj_wave_on_V4": datasets.Value("float64"),
+        "amplitude_of_q_wave_on_V4": datasets.Value("float64"),
+        "amplitude_of_r_wave_on_V4": datasets.Value("float64"),
+        "amplitude_of_s_wave_on_V4": datasets.Value("float64"),
+        "amplitude_of_rprime_wave_on_V4": datasets.Value("float64"),
+        "amplitude_of_sprime_wave_on_V4": datasets.Value("float64"),
+        "amplitude_of_p_wave_on_V4": datasets.Value("float64"),
+        "amplitude_of_t_wave_on_V4": datasets.Value("float64"),
+        "qrsa_on_V4": datasets.Value("float64"),
+        "qrsta_on_V4": datasets.Value("float64"),
+        "amplitude_of_jj_wave_on_V5": datasets.Value("float64"),
+        "amplitude_of_q_wave_on_V5": datasets.Value("float64"),
+        "amplitude_of_r_wave_on_V5": datasets.Value("float64"),
+        "amplitude_of_s_wave_on_V5": datasets.Value("float64"),
+        "amplitude_of_rprime_wave_on_V5": datasets.Value("float64"),
+        "amplitude_of_sprime_wave_on_V5": datasets.Value("float64"),
+        "amplitude_of_p_wave_on_V5": datasets.Value("float64"),
+        "amplitude_of_t_wave_on_V5": datasets.Value("float64"),
+        "qrsa_on_V5": datasets.Value("float64"),
+        "qrsta_on_V5": datasets.Value("float64"),
+        "amplitude_of_jj_wave_on_V6": datasets.Value("float64"),
+        "amplitude_of_q_wave_on_V6": datasets.Value("float64"),
+        "amplitude_of_r_wave_on_V6": datasets.Value("float64"),
+        "amplitude_of_s_wave_on_V6": datasets.Value("float64"),
+        "amplitude_of_rprime_wave_on_V6": datasets.Value("float64"),
+        "amplitude_of_sprime_wave_on_V6": datasets.Value("float64"),
+        "amplitude_of_p_wave_on_V6": datasets.Value("float64"),
+        "amplitude_of_t_wave_on_V6": datasets.Value("float64"),
+        "qrsa_on_V6": datasets.Value("float64"),
+        "qrsta_on_V6": datasets.Value("float64"),
+        "type_of_arrhytmia": datasets.ClassLabel(num_classes=16)
+    }
+}
+features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
+class ArrhythmiaConfig(datasets.BuilderConfig):
+    def __init__(self, **kwargs):
+        super(ArrhythmiaConfig, self).__init__(version=VERSION, **kwargs)
+        self.features = features_per_config[kwargs["name"]]
+class Arrhythmia(datasets.GeneratorBasedBuilder):
+    # dataset versions
+    DEFAULT_CONFIG = "arrhytmia"
+    BUILDER_CONFIGS = [
+        ArrhythmiaConfig(name="arrhytmia",
+                    description="Multiclass classification of arrhytmia type."),
+    ]
+    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, config=self.config.name)
+        for row_id, row in data.iterrows():
+            data_row = dict(row)
+            yield row_id, data_row
+    def preprocess(self, data: pandas.DataFrame, config: str = DEFAULT_CONFIG) -> pandas.DataFrame:
+        data = data[(data.t != "?") & (data.qrst != "?") & (data.p != "?") & (data.j != "?") & (data.heart_rate != "?")]
+        data = data.astype({"t": int, "qrst": int, "p": int, "j": int, "heart_rate": int})
+        return data[list(features_types_per_config["income"].keys())]