updated to datasets 4.*

README.md

@@ -1,15 +1,20 @@
 ---
+configs:
+- config_name: pol
+  data_files:
+  - path: pol/train.csv
+    split: train
+  default: true
+language: en
 license: cc
-task_categories:
-- tabular-classification
-language:
-- en
+pretty_name: Pol
+size_categories: 1M<n<10M
 tags:
-- openml
+- tabular_classification
 - binary_classification
-pretty_name: Pol binary
-size_categories:
-- 10K<n<100K
+- multiclass_classification
+task_categories:
+- tabular-classification
 ---
 # Pol
 The [Pol dataset](https://www.openml.org/search?type=data&status=active&id=722) from the [OpenML repository](https://www.openml.org/).

pol.py

@@ -1,111 +0,0 @@
-from typing import List
-
-import datasets
-
-import pandas
-
-
-VERSION = datasets.Version("1.0.0")
-
-
-DESCRIPTION = "Pol dataset from the OpenML repository."
-_HOMEPAGE = "https://www.openml.org/search?type=data&sort=runs&id=722&status=active"
-_URLS = ("https://www.openml.org/search?type=data&sort=runs&id=722&status=active")
-_CITATION = """"""
-
-# Dataset info
-urls_per_split = {
-    "train": "https://huggingface.co/datasets/mstz/pol/raw/main/pol.csv"
-}
-features_types_per_config = {
-    "pol": {
-        "f1": datasets.Value("int64"),
-		"f2": datasets.Value("int64"),
-		"f3": datasets.Value("int64"),
-		"f4": datasets.Value("int64"),
-		"f5": datasets.Value("int64"),
-		"f6": datasets.Value("int64"),
-		"f7": datasets.Value("int64"),
-		"f8": datasets.Value("int64"),
-		"f9": datasets.Value("int64"),
-		"f10": datasets.Value("int64"),
-		"f11": datasets.Value("int64"),
-		"f12": datasets.Value("int64"),
-		"f13": datasets.Value("int64"),
-		"f14": datasets.Value("int64"),
-		"f15": datasets.Value("int64"),
-		"f16": datasets.Value("int64"),
-		"f17": datasets.Value("int64"),
-		"f18": datasets.Value("int64"),
-		"f19": datasets.Value("int64"),
-		"f20": datasets.Value("int64"),
-		"f21": datasets.Value("int64"),
-		"f22": datasets.Value("int64"),
-		"f23": datasets.Value("int64"),
-		"f24": datasets.Value("int64"),
-		"f25": datasets.Value("int64"),
-		"f26": datasets.Value("int64"),
-		"f27": datasets.Value("int64"),
-		"f28": datasets.Value("int64"),
-		"f29": datasets.Value("int64"),
-		"f30": datasets.Value("int64"),
-		"f31": datasets.Value("int64"),
-		"f32": datasets.Value("int64"),
-		"f33": datasets.Value("int64"),
-		"f34": datasets.Value("int64"),
-		"f35": datasets.Value("int64"),
-		"f36": datasets.Value("int64"),
-		"f37": datasets.Value("int64"),
-		"f38": datasets.Value("int64"),
-		"f39": datasets.Value("int64"),
-		"f40": datasets.Value("int64"),
-		"f41": datasets.Value("int64"),
-		"f42": datasets.Value("int64"),
-		"f43": datasets.Value("int64"),
-		"f44": datasets.Value("int64"),
-		"f45": datasets.Value("int64"),
-		"f46": datasets.Value("int64"),
-		"f47": datasets.Value("int64"),
-		"f48": datasets.Value("int64"),
-        "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 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 = "pol"
-    BUILDER_CONFIGS = [
-        ElectricityConfig(name="pol",
-                    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

pol.csv → pol/train.csv

@@ -14998,4 +14998,4 @@ f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f11,f12,f13,f14,f15,f16,f17,f18,f19,f20,f21,f22,f
 110,100,100,100,16,137,145,71,94,0,0,0,0,1,2,0,0,0,0,0,0,51,29,36,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
 110,100,100,100,123,77,76,71,94,0,0,0,17,38,0,25,37,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
 110,100,100,100,18,118,78,71,94,0,0,0,3,0,0,0,3,0,0,0,38,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
-110,100,100,100,141,108,76,71,94,0,0,0,31,31,0,0,62,0,4,40,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+110,100,100,100,141,108,76,71,94,0,0,0,31,31,0,0,62,0,4,40,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1