roneneldan/TinyStories
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… See the full description on the dataset page: https://huggingface.co/datasets/roneneldan/TinyStories.
| Author / organization | roneneldan |
|---|---|
| License (as declared) | cdla-sharing-1.0 |
| Downloads | 124.5K (as reported by Hugging Face) |
| Likes | 1.2K |
| Created | 12 May 2023 |
| Last updated at source | 12 August 2024 |
Connected in the knowledge graph
- roneneldan/TinyStories-1MModel · used to train
- neuralcrew/neutrino-instructModel · used to train
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 14 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.