updated to datasets 4.*

README.md

@@ -1,19 +1,20 @@
 ---
-language:
-- en
+configs:
+- config_name: electricity
+  data_files:
+  - path: electricity/train.csv
+    split: train
+  default: true
+language: en
+license: cc
+pretty_name: Electricity
+size_categories: 1M<n<10M
 tags:
-- electricity
 - tabular_classification
 - binary_classification
-- UCI
-pretty_name: Electricity
-size_categories:
-- 10k<n<100K
+- multiclass_classification
 task_categories:
 - tabular-classification
-configs:
-- electricity
-license: cc
 ---
 # Electricity
 The [Electricity dataset](https://www.openml.org/search?type=data&sort=runs&id=151&status=active) from the [OpenML repository](https://www.openml.org/).

electricity.py

@@ -1,71 +0,0 @@
-from typing import List
-
-import datasets
-
-import pandas
-
-
-VERSION = datasets.Version("1.0.0")
-
-
-DESCRIPTION = "Electricity dataset from the UCI ML repository."
-_HOMEPAGE = "ttps://www.openml.org/search?type=data&sort=runs&id=151&status=active"
-_URLS = ("ttps://www.openml.org/search?type=data&sort=runs&id=151&status=active")
-_CITATION = """"""
-
-# Dataset info
-urls_per_split = {
-    "train": "https://huggingface.co/datasets/mstz/electricity/raw/main/electricity-normalized.csv"
-}
-features_types_per_config = {
-    "electricity": {
-        "date": datasets.Value("float64"),
-        "day": datasets.Value("int8"),
-        "period": datasets.Value("float64"),
-        "nswprice": datasets.Value("float64"),
-        "nswdemand": datasets.Value("float64"),
-        "vicprice": datasets.Value("float64"),
-        "vicdemand": datasets.Value("float64"),
-        "transfer": datasets.Value("float64"),
-        "is_up": 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 ElectricityConfig(datasets.BuilderConfig):
-    def __init__(self, **kwargs):
-        super(ElectricityConfig, self).__init__(version=VERSION, **kwargs)
-        self.features = features_per_config[kwargs["name"]]
-
-
-class Electricity(datasets.GeneratorBasedBuilder):
-    # dataset versions
-    DEFAULT_CONFIG = "electricity"
-    BUILDER_CONFIGS = [
-        ElectricityConfig(name="electricity",
-                    description="Electricity 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