OpelSpeedster's picture
|
download
raw
1.06 kB
---
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)

Xet Storage Details

Size:
1.06 kB
·
Xet hash:
14f45a98c995fd7c71b82e0951ef7875dc3657e04f9bfc1ba868b6814c174c80

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.