| 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]) |