| | --- |
| | task_categories: |
| | - text-generation |
| | - summarization |
| | language: |
| | - en |
| | pretty_name: Mini Project Gutenberg (Cleaned English Subset, Tokenized) Dataset |
| | size_categories: |
| | - 10K<n<100K |
| | --- |
| | |
| | # Dataset Card for Mini Project Gutenberg (Cleaned English Subset, Tokenized) Dataset |
| |
|
| |
|
| | This dataset is a mini subset of the dataset [nikolina-p/gutenberg_flat](nikolina-p/gutenberg_flat), created for **learning, testing streaming datasets, DDP training, and quick experimentation.** |
| |
|
| | It is made from the first 24 books. The text is tokenized using OpenAI's tiktoken tokenizer. Its structure is adapted for training of autoregressive models in distributed environment: each split contains 8 shards, all shards within a split have the same number of tokens, and each row consists of 16×1,024 + 1 tokens. |
| |
|
| | Total number of tokens: 2.359.440 |
| | - train split: 2.097.280, |
| | - validation split: 262.160 |
| |
|
| | # Usage |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | ds = load_dataset("nikolina-p/mini_gutenberg_flat", split="train", streaming=True) |
| | print(next(iter(ds))) |
| | ``` |
