Upload script.py with huggingface_hub

script.py

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+# /// script
+# requires-python = ">=3.10"
+# dependencies = [
+#     "datasets",
+#     "tqdm",
+# ]
+# ///
+"""Template UV script for hfjobs.
+
+This is a template script. Customize it for your needs!
+
+Usage:
+    python script.py <input> <output> [--option value]
+"""
+
+import argparse
+from datasets import load_dataset
+from tqdm import tqdm
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Template UV script")
+    parser.add_argument("input", help="Input dataset")
+    parser.add_argument("output", help="Output dataset")
+    parser.add_argument("--text-column", default="text", help="Text column name")
+    
+    args = parser.parse_args()
+    
+    print(f"Loading dataset: {args.input}")
+    dataset = load_dataset(args.input, split="train")
+    
+    # Your processing logic here
+    print(f"Processing {len(dataset)} examples...")
+    
+    # Example: simple transformation
+    def process_example(example):
+        # Add your transformation logic
+        return example
+    
+    processed = dataset.map(process_example, desc="Processing")
+    
+    print(f"Pushing to: {args.output}")
+    processed.push_to_hub(args.output)
+    
+    print("✅ Done!")
+
+
+if __name__ == "__main__":
+    main()