updated to datasets 4.*

README.md

@@ -1,19 +1,22 @@
 ---
-language:
-- en
+configs:
+- config_name: hill
+  data_files:
+  - path: hill/train.csv
+    split: train
+  - path: hill/test.csv
+    split: test
+  default: true
+language: en
+license: cc
+pretty_name: Hill
+size_categories: 1M<n<10M
 tags:
-- hill
 - tabular_classification
 - binary_classification
-- UCI
-pretty_name: Hill
-size_categories:
-- n<1K
+- multiclass_classification
 task_categories:
 - tabular-classification
-configs:
-- hill
-license: cc
 ---
 # Hill
 The [Hill dataset](https://archive.ics.uci.edu/ml/datasets/Hill) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).

hill.py

@@ -1,172 +0,0 @@
-"""Hill"""
-
-from typing import List
-
-import datasets
-
-import pandas
-
-
-VERSION = datasets.Version("1.0.0")
-
-DESCRIPTION = "Hill dataset from the UCI ML repository."
-_HOMEPAGE = "https://archive.ics.uci.edu/ml/datasets/Hill"
-_URLS = ("https://archive.ics.uci.edu/ml/datasets/Hill")
-_CITATION = """
-@misc{misc_hill-valley_166,
-  author       = {Graham,Lee & Oppacher,Franz},
-  title        = {{Hill-Valley}},
-  year         = {2008},
-  howpublished = {UCI Machine Learning Repository},
-  note         = {{DOI}: \\url{10.24432/C5JC8P}}
-}"""
-
-# Dataset info
-urls_per_split = {
-    "train": "Hill_Valley_without_noise_Training.data", 
-    "test": "Hill_Valley_without_noise_Testing.data"
-}
-features_types_per_config = {
-    "hill": {
-        "X1": datasets.Value("float64"),
-        "X2": datasets.Value("float64"),
-        "X3": datasets.Value("float64"),
-        "X4": datasets.Value("float64"),
-        "X5": datasets.Value("float64"),
-        "X6": datasets.Value("float64"),
-        "X7": datasets.Value("float64"),
-        "X8": datasets.Value("float64"),
-        "X9": datasets.Value("float64"),
-        "X10": datasets.Value("float64"),
-        "X11": datasets.Value("float64"),
-        "X12": datasets.Value("float64"),
-        "X13": datasets.Value("float64"),
-        "X14": datasets.Value("float64"),
-        "X15": datasets.Value("float64"),
-        "X16": datasets.Value("float64"),
-        "X17": datasets.Value("float64"),
-        "X18": datasets.Value("float64"),
-        "X19": datasets.Value("float64"),
-        "X20": datasets.Value("float64"),
-        "X21": datasets.Value("float64"),
-        "X22": datasets.Value("float64"),
-        "X23": datasets.Value("float64"),
-        "X24": datasets.Value("float64"),
-        "X25": datasets.Value("float64"),
-        "X26": datasets.Value("float64"),
-        "X27": datasets.Value("float64"),
-        "X28": datasets.Value("float64"),
-        "X29": datasets.Value("float64"),
-        "X30": datasets.Value("float64"),
-        "X31": datasets.Value("float64"),
-        "X32": datasets.Value("float64"),
-        "X33": datasets.Value("float64"),
-        "X34": datasets.Value("float64"),
-        "X35": datasets.Value("float64"),
-        "X36": datasets.Value("float64"),
-        "X37": datasets.Value("float64"),
-        "X38": datasets.Value("float64"),
-        "X39": datasets.Value("float64"),
-        "X40": datasets.Value("float64"),
-        "X41": datasets.Value("float64"),
-        "X42": datasets.Value("float64"),
-        "X43": datasets.Value("float64"),
-        "X44": datasets.Value("float64"),
-        "X45": datasets.Value("float64"),
-        "X46": datasets.Value("float64"),
-        "X47": datasets.Value("float64"),
-        "X48": datasets.Value("float64"),
-        "X49": datasets.Value("float64"),
-        "X50": datasets.Value("float64"),
-        "X51": datasets.Value("float64"),
-        "X52": datasets.Value("float64"),
-        "X53": datasets.Value("float64"),
-        "X54": datasets.Value("float64"),
-        "X55": datasets.Value("float64"),
-        "X56": datasets.Value("float64"),
-        "X57": datasets.Value("float64"),
-        "X58": datasets.Value("float64"),
-        "X59": datasets.Value("float64"),
-        "X60": datasets.Value("float64"),
-        "X61": datasets.Value("float64"),
-        "X62": datasets.Value("float64"),
-        "X63": datasets.Value("float64"),
-        "X64": datasets.Value("float64"),
-        "X65": datasets.Value("float64"),
-        "X66": datasets.Value("float64"),
-        "X67": datasets.Value("float64"),
-        "X68": datasets.Value("float64"),
-        "X69": datasets.Value("float64"),
-        "X70": datasets.Value("float64"),
-        "X71": datasets.Value("float64"),
-        "X72": datasets.Value("float64"),
-        "X73": datasets.Value("float64"),
-        "X74": datasets.Value("float64"),
-        "X75": datasets.Value("float64"),
-        "X76": datasets.Value("float64"),
-        "X77": datasets.Value("float64"),
-        "X78": datasets.Value("float64"),
-        "X79": datasets.Value("float64"),
-        "X80": datasets.Value("float64"),
-        "X81": datasets.Value("float64"),
-        "X82": datasets.Value("float64"),
-        "X83": datasets.Value("float64"),
-        "X84": datasets.Value("float64"),
-        "X85": datasets.Value("float64"),
-        "X86": datasets.Value("float64"),
-        "X87": datasets.Value("float64"),
-        "X88": datasets.Value("float64"),
-        "X89": datasets.Value("float64"),
-        "X90": datasets.Value("float64"),
-        "X91": datasets.Value("float64"),
-        "X92": datasets.Value("float64"),
-        "X93": datasets.Value("float64"),
-        "X94": datasets.Value("float64"),
-        "X95": datasets.Value("float64"),
-        "X96": datasets.Value("float64"),
-        "X97": datasets.Value("float64"),
-        "X98": datasets.Value("float64"),
-        "X99": datasets.Value("float64"),
-        "X100": datasets.Value("float64"),
-        "class": datasets.ClassLabel(num_classes=2)
-    }
-}
-features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
-
-
-class HillConfig(datasets.BuilderConfig):
-    def __init__(self, **kwargs):
-        super(HillConfig, self).__init__(version=VERSION, **kwargs)
-        self.features = features_per_config[kwargs["name"]]
-
-
-class Hill(datasets.GeneratorBasedBuilder):
-    # dataset versions
-    DEFAULT_CONFIG = "hill"
-    BUILDER_CONFIGS = [
-        HillConfig(name="hill",
-                    description="Hill 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"]}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloads["test"]}),
-        ]
-    
-    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

Hill_Valley_without_noise_Testing.data → hill/train.csv

@@ -477,7 +477,7 @@ X1,X2,X3,X4,X5,X6,X7,X8,X9,X10,X11,X12,X13,X14,X15,X16,X17,X18,X19,X20,X21,X22,X
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