Delete loading script

test.py

@@ -1,87 +0,0 @@
-import os
-from pdb import set_trace
-
-import datasets
-import pandas as pd
-
-_CITATION = """\
-Put your dataset citation here.
-"""
-
-_DESCRIPTION = """\
-Description of your dataset goes here.
-"""
-
-_HOMEPAGE = "https://your-dataset-homepage.com"
-
-_LICENSE = "License information goes here."
-
-
-class Test(datasets.GeneratorBasedBuilder):
-    """Your dataset description"""
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="customers", 
-            data_dir="./",
-            version=datasets.Version("1.0.0"), 
-            description="This is subset A"),
-        datasets.BuilderConfig(
-            name="products", 
-            data_dir="./",
-            version=datasets.Version("1.0.0"), 
-            description="This is subset B"),
-    ]
-
-    def _info(self):
-        # set_trace()
-        if self.config.name == "customers":
-            features = datasets.Features(
-                {
-                    "customer_id": datasets.Value("int64"),
-                    "name": datasets.Value("string"),
-                    "age": datasets.Value("int64"),
-                }
-            )
-        elif self.config.name == "products":
-            features = datasets.Features(
-                {
-                    "product_id": datasets.Value("int64"),
-                    "name": datasets.Value("string"),
-                    "price": datasets.Value("double"),
-                }
-            )
-        else:
-            raise ValueError(f"Unknown subset: {self.config.name}")
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        data_dir = os.path.join(self.config.data_dir, self.config.name)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": os.path.join(data_dir, "train.csv")},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={"filepath": os.path.join(data_dir, "val.csv")},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepath": os.path.join(data_dir, "test.csv")},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        with open(filepath, encoding="utf-8") as f:
-            df = pd.read_csv(filepath, index_col=0)
-            for id_, item in df.iterrows():
-                yield id_, item.to_dict()