| language: | |
| - en | |
| license: apache-2.0 | |
| # OSCAR EN 10K for testing | |
| This is a small subset representing the 10K records from the original OSCAR dataset, "unshuffled_deduplicated_en" subset - created for testing. The records were extracted after having been shuffled. | |
| The full 1TB+ dataset is at https://huggingface.co/datasets/oscar. | |
| ``` | |
| $ python -c "from datasets import load_dataset; ds=load_dataset('stas/oscar-en-10k'); print(ds)" | |
| DatasetDict({ | |
| train: Dataset({ | |
| features: ['text'], | |
| num_rows: 10000 | |
| }) | |
| }) | |
| ``` | |
| * Records: 10,000 | |
| * compressed size: ~37MB | |
| * uncompressed size: 131MB | |
| To convert to jsonlines: | |
| ``` | |
| from datasets import load_dataset | |
| dataset_name = "stas/oscar-en-10k" | |
| name = dataset_name.split('/')[-1] | |
| ds = load_dataset(dataset_name, split='train') | |
| ds.to_json(f"{name}.jsonl", orient="records", lines=True) | |
| ``` | |
| To see how this subset was created, here is the [instructions file](https://huggingface.co/datasets/stas/oscar-en-10k/blob/main/process.txt). | |