updated to datasets 4.*

README.md

@@ -1,19 +1,25 @@
 ---
-language:
-- en
+configs:
+- config_name: 8hr
+  data_files:
+  - path: 8hr/train.csv
+    split: train
+  default: true
+- config_name: 1hr
+  data_files:
+  - path: 1hr/train.csv
+    split: train
+  default: false
+language: en
+license: cc
+pretty_name: Ozone
+size_categories: 1M<n<10M
 tags:
-- ozone
 - tabular_classification
 - binary_classification
-pretty_name: Ozone
-size_categories:
-- 1K<n<10K
+- multiclass_classification
 task_categories:
 - tabular-classification
-configs:
-- 8hr
-- 1hr
-license: cc
 ---
 # Ozone
 The [Ozone dataset](https://archive.ics.uci.edu/ml/datasets/Ozone) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).

ozone.py

@@ -1,301 +0,0 @@
-"""Ozone: A Census Dataset"""
-
-from typing import List
-
-import datasets
-
-import pandas
-
-
-VERSION = datasets.Version("1.0.0")
-_BASE_FEATURE_NAMES = [
-    "Date",
-	"WSR0",
-	"WSR1",
-	"WSR2",
-	"WSR3",
-	"WSR4",
-	"WSR5",
-	"WSR6",
-	"WSR7",
-	"WSR8",
-	"WSR9",
-	"WSR10",
-	"WSR11",
-	"WSR12",
-	"WSR13",
-	"WSR14",
-	"WSR15",
-	"WSR16",
-	"WSR17",
-	"WSR18",
-	"WSR19",
-	"WSR20",
-	"WSR21",
-	"WSR22",
-	"WSR23",
-	"WSR_PK",
-	"WSR_AV",
-	"T0",
-	"T1",
-	"T2",
-	"T3",
-	"T4",
-	"T5",
-	"T6",
-	"T7",
-	"T8",
-	"T9",
-	"T10",
-	"T11",
-	"T12",
-	"T13",
-	"T14",
-	"T15",
-	"T16",
-	"T17",
-	"T18",
-	"T19",
-	"T20",
-	"T21",
-	"T22",
-	"T23",
-	"T_PK",
-	"T_AV",
-	"T85",
-	"RH85",
-	"U85",
-	"V85",
-	"HT85",
-	"T70",
-	"RH70",
-	"U70",
-	"V70",
-	"HT70",
-	"T50",
-	"RH50",
-	"U50",
-	"V50",
-	"HT50",
-	"KI",
-	"TT",
-	"SLP",
-	"SLP_",
-	"Precp",
-	"Class"
-]
-
-DESCRIPTION = "Ozone dataset from the UCI ML repository."
-_HOMEPAGE = "https://archive.ics.uci.edu/ml/datasets/Ozone"
-_URLS = ("https://archive.ics.uci.edu/ml/datasets/Ozone")
-_CITATION = """
-@misc{misc_ozone_level_detection_172,
-  author       = {Zhang,Kun, Fan,Wei & Yuan,XiaoJing},
-  title        = {{Ozone Level Detection}},
-  year         = {2008},
-  howpublished = {UCI Machine Learning Repository},
-  note         = {{DOI}: \\url{10.24432/C5NG6W}}
-}"""
-
-# Dataset info
-urls_per_split = {
-    "8hr": {"train": "https://huggingface.co/datasets/mstz/ozone/raw/main/eighthr.data"},
-    "1hr": {"train": "https://huggingface.co/datasets/mstz/ozone/raw/main/onehr.data"},
-}
-features_types_per_config = {
-    "8hr": {
-	    "WSR0": datasets.Value("float64"),
-	    "WSR1": datasets.Value("float64"),
-	    "WSR2": datasets.Value("float64"),
-	    "WSR3": datasets.Value("float64"),
-	    "WSR4": datasets.Value("float64"),
-	    "WSR5": datasets.Value("float64"),
-	    "WSR6": datasets.Value("float64"),
-	    "WSR7": datasets.Value("float64"),
-	    "WSR8": datasets.Value("float64"),
-	    "WSR9": datasets.Value("float64"),
-	    "WSR10": datasets.Value("float64"),
-	    "WSR11": datasets.Value("float64"),
-	    "WSR12": datasets.Value("float64"),
-	    "WSR13": datasets.Value("float64"),
-	    "WSR14": datasets.Value("float64"),
-	    "WSR15": datasets.Value("float64"),
-	    "WSR16": datasets.Value("float64"),
-	    "WSR17": datasets.Value("float64"),
-	    "WSR18": datasets.Value("float64"),
-	    "WSR19": datasets.Value("float64"),
-	    "WSR20": datasets.Value("float64"),
-	    "WSR21": datasets.Value("float64"),
-	    "WSR22": datasets.Value("float64"),
-	    "WSR23": datasets.Value("float64"),
-	    "WSR_PK": datasets.Value("float64"),
-	    "WSR_AV": datasets.Value("float64"),
-	    "T0": datasets.Value("float64"),
-	    "T1": datasets.Value("float64"),
-	    "T2": datasets.Value("float64"),
-	    "T3": datasets.Value("float64"),
-	    "T4": datasets.Value("float64"),
-	    "T5": datasets.Value("float64"),
-	    "T6": datasets.Value("float64"),
-	    "T7": datasets.Value("float64"),
-	    "T8": datasets.Value("float64"),
-	    "T9": datasets.Value("float64"),
-	    "T10": datasets.Value("float64"),
-	    "T11": datasets.Value("float64"),
-	    "T12": datasets.Value("float64"),
-	    "T13": datasets.Value("float64"),
-	    "T14": datasets.Value("float64"),
-	    "T15": datasets.Value("float64"),
-	    "T16": datasets.Value("float64"),
-	    "T17": datasets.Value("float64"),
-	    "T18": datasets.Value("float64"),
-	    "T19": datasets.Value("float64"),
-	    "T20": datasets.Value("float64"),
-	    "T21": datasets.Value("float64"),
-	    "T22": datasets.Value("float64"),
-	    "T23": datasets.Value("float64"),
-	    "T_PK": datasets.Value("float64"),
-	    "T_AV": datasets.Value("float64"),
-	    "T85": datasets.Value("float64"),
-	    "RH85": datasets.Value("float64"),
-	    "U85": datasets.Value("float64"),
-	    "V85": datasets.Value("float64"),
-	    "HT85": datasets.Value("float64"),
-	    "T70": datasets.Value("float64"),
-	    "RH70": datasets.Value("float64"),
-	    "U70": datasets.Value("float64"),
-	    "V70": datasets.Value("float64"),
-	    "HT70": datasets.Value("float64"),
-	    "T50": datasets.Value("float64"),
-	    "RH50": datasets.Value("float64"),
-	    "U50": datasets.Value("float64"),
-	    "V50": datasets.Value("float64"),
-	    "HT50": datasets.Value("float64"),
-	    "KI": datasets.Value("float64"),
-	    "TT": datasets.Value("float64"),
-	    "SLP": datasets.Value("float64"),
-	    "SLP_": datasets.Value("float64"),
-	    "Precp": datasets.Value("float64"),
-	    "Class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
-    },
-    "1hr": {
-	    "WSR0": datasets.Value("float64"),
-	    "WSR1": datasets.Value("float64"),
-	    "WSR2": datasets.Value("float64"),
-	    "WSR3": datasets.Value("float64"),
-	    "WSR4": datasets.Value("float64"),
-	    "WSR5": datasets.Value("float64"),
-	    "WSR6": datasets.Value("float64"),
-	    "WSR7": datasets.Value("float64"),
-	    "WSR8": datasets.Value("float64"),
-	    "WSR9": datasets.Value("float64"),
-	    "WSR10": datasets.Value("float64"),
-	    "WSR11": datasets.Value("float64"),
-	    "WSR12": datasets.Value("float64"),
-	    "WSR13": datasets.Value("float64"),
-	    "WSR14": datasets.Value("float64"),
-	    "WSR15": datasets.Value("float64"),
-	    "WSR16": datasets.Value("float64"),
-	    "WSR17": datasets.Value("float64"),
-	    "WSR18": datasets.Value("float64"),
-	    "WSR19": datasets.Value("float64"),
-	    "WSR20": datasets.Value("float64"),
-	    "WSR21": datasets.Value("float64"),
-	    "WSR22": datasets.Value("float64"),
-	    "WSR23": datasets.Value("float64"),
-	    "WSR_PK": datasets.Value("float64"),
-	    "WSR_AV": datasets.Value("float64"),
-	    "T0": datasets.Value("float64"),
-	    "T1": datasets.Value("float64"),
-	    "T2": datasets.Value("float64"),
-	    "T3": datasets.Value("float64"),
-	    "T4": datasets.Value("float64"),
-	    "T5": datasets.Value("float64"),
-	    "T6": datasets.Value("float64"),
-	    "T7": datasets.Value("float64"),
-	    "T8": datasets.Value("float64"),
-	    "T9": datasets.Value("float64"),
-	    "T10": datasets.Value("float64"),
-	    "T11": datasets.Value("float64"),
-	    "T12": datasets.Value("float64"),
-	    "T13": datasets.Value("float64"),
-	    "T14": datasets.Value("float64"),
-	    "T15": datasets.Value("float64"),
-	    "T16": datasets.Value("float64"),
-	    "T17": datasets.Value("float64"),
-	    "T18": datasets.Value("float64"),
-	    "T19": datasets.Value("float64"),
-	    "T20": datasets.Value("float64"),
-	    "T21": datasets.Value("float64"),
-	    "T22": datasets.Value("float64"),
-	    "T23": datasets.Value("float64"),
-	    "T_PK": datasets.Value("float64"),
-	    "T_AV": datasets.Value("float64"),
-	    "T85": datasets.Value("float64"),
-	    "RH85": datasets.Value("float64"),
-	    "U85": datasets.Value("float64"),
-	    "V85": datasets.Value("float64"),
-	    "HT85": datasets.Value("float64"),
-	    "T70": datasets.Value("float64"),
-	    "RH70": datasets.Value("float64"),
-	    "U70": datasets.Value("float64"),
-	    "V70": datasets.Value("float64"),
-	    "HT70": datasets.Value("float64"),
-	    "T50": datasets.Value("float64"),
-	    "RH50": datasets.Value("float64"),
-	    "U50": datasets.Value("float64"),
-	    "V50": datasets.Value("float64"),
-	    "HT50": datasets.Value("float64"),
-	    "KI": datasets.Value("float64"),
-	    "TT": datasets.Value("float64"),
-	    "SLP": datasets.Value("float64"),
-	    "SLP_": datasets.Value("float64"),
-	    "Precp": 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 OzoneConfig(datasets.BuilderConfig):
-    def __init__(self, **kwargs):
-        super(OzoneConfig, self).__init__(version=VERSION, **kwargs)
-        self.features = features_per_config[kwargs["name"]]
-
-
-class Ozone(datasets.GeneratorBasedBuilder):
-    # dataset versions
-    DEFAULT_CONFIG = "8hr"
-    BUILDER_CONFIGS = [
-        OzoneConfig(name="8hr",
-                    description="Ozone for binary classification."),
-        OzoneConfig(name="1hr",
-                    description="Ozone 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[self.config.name]["train"]})
-        ]
-    
-    def _generate_examples(self, filepath: str):
-        data = pandas.read_csv(filepath)
-        data.drop("Date", axis="columns", inplace=True)
-        data.loc[:, "Class"] = data.Class.astype(int)
-        data = data[~(data.isin(["?"]).any(axis=1))]
-        data = data.infer_objects()
-
-        for row_id, row in data.iterrows():
-            data_row = dict(row)
-
-            yield row_id, data_row