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filter.py

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+# /// script
+# requires-python = ">=3.10"
+# dependencies = [
+#     "datasets",
+# ]
+# ///
+"""Filter examples by length."""
+
+import argparse
+from datasets import load_dataset
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Filter by length")
+    parser.add_argument("input_dataset")
+    parser.add_argument("output_dataset")
+    parser.add_argument("--min-length", type=int, default=100)
+    
+    args = parser.parse_args()
+    
+    dataset = load_dataset(args.input_dataset, split="train")
+    filtered = dataset.filter(lambda x: len(x["text"]) >= args.min_length)
+    filtered.push_to_hub(args.output_dataset)
+    print("✅ Done!")
+
+
+if __name__ == "__main__":
+    main()