First commit

data/test.csv

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+text,label
+This is great!,1
+Not good at all.,0

data/train.csv

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+text,label
+Hello World!,1
+I love Hugging Face!,1
+Bad weather today.,0

preprocess.py

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+# preprocess.py
+ 
+def preprocess_text(text: str) -> str:
+    """
+    Example preprocessing function:
+    - Lowercases
+    - Strips whitespace
+    - Removes punctuation (optional)
+    """
+    import string
+    text = text.lower().strip()
+    text = text.translate(str.maketrans("", "", string.punctuation))
+    return text
+ 
+ 
+if __name__ == "__main__":
+    # Quick manual test
+    sample = "Hello, Hugging Face!"
+    print("Before:", sample)
+    print("After:", preprocess_text(sample))

tiny_text_dataset.py

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+import csv
+import datasets
+ 
+_DESCRIPTION = "A tiny text dataset example with built-in preprocessing."
+ 
+class TinyTextDataset(datasets.GeneratorBasedBuilder):
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({
+                "text": datasets.Value("string"),
+                "label": datasets.Value("int32"),
+            }),
+        )
+ 
+    def _split_generators(self, dl_manager):
+        urls = {
+            "train": dl_manager.download("https://huggingface.co/datasets/YOUR_USERNAME/tiny_text_dataset/resolve/main/data/train.csv"),
+            "test": dl_manager.download("https://huggingface.co/datasets/YOUR_USERNAME/tiny_text_dataset/resolve/main/data/test.csv"),
+        }
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": urls["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": urls["test"]}),
+        ]
+ 
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        with open(filepath, encoding="utf-8") as f:
+            reader = csv.DictReader(f)
+            for i, row in enumerate(reader):
+                # Basic preprocessing example
+                text = row["text"].lower().strip()
+                label = int(row["label"])
+                yield i, {"text": text, "label": label}