updated to datasets 4.*

README.md

@@ -1,18 +1,20 @@
 ---
-language:
-- en
+configs:
+- config_name: house16
+  data_files:
+  - path: house16/train.csv
+    split: train
+  default: true
+language: en
+license: cc
+pretty_name: House16
+size_categories: 1M<n<10M
 tags:
-- house16
 - tabular_classification
 - binary_classification
-pretty_name: House16
-size_categories:
-- 10k<n<100K
+- multiclass_classification
 task_categories:
 - tabular-classification
-configs:
-- house16
-license: cc
 ---
 # House16
 The [House16 dataset](https://www.openml.org/search?type=data&sort=runs&id=821&status=active) from the [OpenML repository](https://www.openml.org/).

house16.py

@@ -1,79 +0,0 @@
-from typing import List
-
-import datasets
-
-import pandas
-
-
-VERSION = datasets.Version("1.0.0")
-
-
-DESCRIPTION = "House16 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/house16/raw/main/house_16H.csv"
-}
-features_types_per_config = {
-    "house16": {
-		"P1": datasets.Value("int64"),
-		"P5p1": datasets.Value("float64"),
-		"P6p2": datasets.Value("float64"),
-		"P11p4": datasets.Value("float64"),
-		"P14p9": datasets.Value("float64"),
-		"P15p1": datasets.Value("float64"),
-		"P15p3": datasets.Value("float64"),
-		"P16p2": datasets.Value("float64"),
-		"P18p2": datasets.Value("float64"),
-		"P27p4": datasets.Value("float64"),
-		"H2p2": datasets.Value("float64"),
-		"H8p2": datasets.Value("float64"),
-		"H10p1": datasets.Value("float64"),
-		"H13p1": datasets.Value("float64"),
-		"H18pA": datasets.Value("float64"),
-		"H40p4": datasets.Value("float64"),
-		"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 House16Config(datasets.BuilderConfig):
-    def __init__(self, **kwargs):
-        super(House16Config, self).__init__(version=VERSION, **kwargs)
-        self.features = features_per_config[kwargs["name"]]
-
-
-class House16(datasets.GeneratorBasedBuilder):
-    # dataset versions
-    DEFAULT_CONFIG = "house16"
-    BUILDER_CONFIGS = [
-        House16Config(name="house16",
-                    description="House16 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