| license: cdla-sharing-1.0 | |
| task_categories: | |
| - text-generation | |
| language: | |
| - en | |
| Dataset containing synthetically generated (by GPT-3.5 and GPT-4) short stories that only use a small vocabulary. | |
| Described in the following paper: https://arxiv.org/abs/2305.07759. | |
| The models referred to in the paper were trained on TinyStories-train.txt (the file tinystories-valid.txt can be used for validation loss). These models can be found on Huggingface, at roneneldan/TinyStories-1M/3M/8M/28M/33M/1Layer-21M. | |
| Additional resources: | |
| tinystories_all_data.tar.gz - contains a superset of the stories together with metadata and the prompt that was used to create each story. | |
| TinyStoriesV2-GPT4-train.txt - Is a new version of the dataset that is based on generations by GPT-4 only (the original dataset also has generations by GPT-3.5 which are of lesser quality). It contains all the examples in TinyStories.txt which were GPT-4 generated as a subset (but is significantly larger). | |
| Evaluation_prompts.yaml: List of prompts used to evaluate our models (see paper) |