Removed experiments

data/test.csv

@@ -1,3 +0,0 @@
-text,label
-This is great!,1
-Not good at all.,0

data/train.csv

@@ -1,4 +0,0 @@
-text,label
-Hello World!,1
-I love Hugging Face!,1
-Bad weather today.,0

dataset_a/test.csv

@@ -1,4 +0,0 @@
-id,text,label
-6,It was a boring movie,negative
-7,Absolutely loved the story,positive
-

dataset_a/train.csv

@@ -1,7 +0,0 @@
-id,text,label
-1,The movie was fantastic and thrilling,positive
-2,The plot was dull and uninteresting,negative
-3,The visuals were stunning,positive
-4,The characters lacked depth,negative
-5,An amazing cinematic experience,positive
-

dataset_b/test.csv

@@ -1,4 +0,0 @@
-id,text,label
-6,The item quality was poor,negative
-7,Fast delivery and great packaging,positive
-

dataset_b/train.csv

@@ -1,7 +0,0 @@
-id,text,label
-1,The product arrived early and works great,positive
-2,It stopped working after a week,negative
-3,Very satisfied with the purchase,positive
-4,Customer service was unhelpful,negative
-5,Excellent value for the price,positive
-

old_tiny.py

@@ -1,34 +0,0 @@
-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/svinz/tiny_text_dataset/resolve/main/data/train.csv"),
-            "test": dl_manager.download("https://huggingface.co/datasets/svinz/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}

preprocess.py

@@ -1,20 +0,0 @@
-# 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))