mereko-ai-banana/BRPL_ESG

---
license: cdla-sharing-1.0
task_categories:
- text-generation
language:
- en
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 2686159.004132231
num_examples: 774
- name: validation
num_bytes: 673274.9958677687
num_examples: 194
download_size: 1543565
dataset_size: 3359434.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---

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)