StyleDistance/synthstel

---
dataset_info:
features:
- name: positive
dtype: string
- name: negative
dtype: string
- name: feature
dtype: string
- name: feature_clean
dtype: string
splits:
- name: train
num_bytes: 978566
num_examples: 3600
- name: test
num_bytes: 106530
num_examples: 400
download_size: 574724
dataset_size: 1085096
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
license: mit
language:
- en
tags:
- datadreamer
- datadreamer-0.20.0
- synthetic
- gpt-4
pretty_name: SynthStel
size_categories:
- 1K<n<10K
---

The SynthSTEL dataset is a synthetically generated (with GPT-4) extension of the [STEL task](https://aclanthology.org/2021.emnlp-main.569/) to 40 style features. This data was also used to train the [StyleDistance embedding model](https://huggingface.co/StyleDistance/styledistance).

---
## Generated with DataDreamer

This synthetic dataset was produced with [DataDreamer 🤖💤](https://datadreamer.dev).

---
#### Funding Acknowledgements

<small> This research is supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via the HIATUS Program contract #2022-22072200005. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of ODNI, IARPA, or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation therein. </small>