Create create_tiny_dataset.py

create_tiny_dataset.py

@@ -0,0 +1,28 @@
+from datasets import load_dataset
+from datasets import Dataset
+
+# 1. Load the en split of C4 with streaming
+ds = load_dataset("allenai/c4", "en", split="train", streaming=True)
+
+# 2. Take first 10k examples and convert to regular dataset
+ds_small = list(ds.take(10000))  # take first 10k examples
+ds_small = Dataset.from_list(ds_small)  # convert to regular Dataset
+assert len(ds_small) == 10000
+print("Sample example:", ds_small[0])
+
+# 4. Push to the Hub
+repo_name = "boom-project/c4-en-10k-debug"
+
+ds_small.push_to_hub(
+    repo_id=repo_name,
+    token=True,       # uses the token from `huggingface-cli login`
+    private=False,    
+)
+
+print(f"✅ Pushed 10,000-example C4 subset to https://huggingface.co/{repo_name}")
+
+# After pushing to the Hub, verify the dataset size and inspect one example
+# from datasets import load_dataset
+# ds = load_dataset("boom-project/c4-en-10k-debug", split="train")
+# assert len(ds) == 10000
+# print("Sample example:", ds[0])