updated to datasets 4.*

README.md

@@ -1,17 +1,20 @@
 ---
-language:
-- en
+configs:
+- config_name: phoneme
+  data_files:
+  - path: phoneme/train.csv
+    split: train
+  default: true
+language: en
+license: unknown
+pretty_name: Phoneme
+size_categories: 1M<n<10M
 tags:
-- phoneme
 - tabular_classification
 - binary_classification
-pretty_name: Phoneme
-size_categories:
-- 10k<n<100K
-task_categories:  # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
+- multiclass_classification
+task_categories:
 - tabular-classification
-configs:
-- phoneme
 ---
 # Phoneme
 The [Phoneme dataset](https://www.openml.org/search?type=data&sort=runs&id=1489&status=active) from the [OpenML repository](https://www.openml.org/).

phoneme.py

@@ -1,68 +0,0 @@
-from typing import List
-
-import datasets
-
-import pandas
-
-
-VERSION = datasets.Version("1.0.0")
-
-
-DESCRIPTION = "Phoneme 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/phoneme/raw/main/phoneme.csv"
-}
-features_types_per_config = {
-    "phoneme": {
-		"V1": datasets.Value("float64"),
-        "V2": datasets.Value("float64"),
-        "V3": datasets.Value("float64"),
-        "V4": datasets.Value("float64"),
-        "V5": 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 PhonemeConfig(datasets.BuilderConfig):
-    def __init__(self, **kwargs):
-        super(PhonemeConfig, self).__init__(version=VERSION, **kwargs)
-        self.features = features_per_config[kwargs["name"]]
-
-
-class Phoneme(datasets.GeneratorBasedBuilder):
-    # dataset versions
-    DEFAULT_CONFIG = "phoneme"
-    BUILDER_CONFIGS = [
-        PhonemeConfig(name="phoneme",
-                    description="Phoneme 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

phoneme.csv → phoneme/train.csv

@@ -1038,7 +1038,7 @@ V1,V2,V3,V4,V5,class
 -0.550405,0.623264,-0.146488,-0.164566,0.1006,0
 -0.508272,1.404845,0.160571,-1.216536,-0.136583,0
 -0.813247,-1.277001,-0.648425,-1.051572,1.608611,1
-0.882855,0.430927,0.016211,-0.000079,0.54837,0
+0.882855,0.430927,0.016211,-7.9e-05,0.54837,0
 -0.846216,-1.041877,-0.331471,0.226738,-0.136583,1
 -0.273113,1.897503,-1.713163,0.153416,-0.493583,0
 -0.756534,-0.892007,0.76028,0.755637,-1.903631,0
@@ -1488,7 +1488,7 @@ V1,V2,V3,V4,V5,class
 -0.36832,1.671478,-1.490068,-0.849332,-0.4462,0
 -0.788899,-0.291374,-0.152548,1.121198,-0.136583,1
 -0.227342,1.552015,-1.476898,-0.797648,-0.367431,0
--0.081632,0.290584,-1.172799,-0.64435,0.000011,0
+-0.081632,0.290584,-1.172799,-0.64435,1.1e-05,0
 1.672428,-0.71765,-0.946585,-0.361493,-0.221504,0
 -0.855447,-0.997939,0.0673,0.341951,0.69448,0
 -0.054024,1.240344,0.747875,0.309858,1.314456,1