Dataset
A dataset is the collection of examples a model learns from, typically split into training, validation, and test sets. Quality, size, and diversity of the dataset determine model performance.
What is Dataset?
A dataset is the collection of examples a model learns from, typically split into training, validation, and test sets. Quality, size, and diversity of the dataset determine model performance.
A dataset is the collection of examples a model learns from, typically split into training, validation, and test sets. Quality, size, and diversity of the dataset determine model performance.
Where is it used?
GPT-3 was trained on Common Crawl, WebText2, books, and Wikipedia; Llama 3 used 15T tokens curated from web, code, and multilingual sources.
How to build it
Use `torch.utils.data.Dataset` and `DataLoader` to wrap a tensor or folder of files, set `batch_size` and `shuffle=True`, and iterate batches in a training loop.