task_categories:text-classification size_categories:10K<n<100k language:en license:cc chatgpt gpt research abstracts region:us
---
license: cc
task_categories:
- text-classification
pretty_name: ChatGPT Research Abstracts - Labled text segments produced by humans and ChatGPT
size_categories:
- 10K<n<100k
language:
- en
tags:
- chatgpt
- gpt
- research abstracts
---
# ChatGPT-Research-Abstracts
This is a dataset created in relation to a bachelor thesis written by Nicolai Thorer Sivesind and Andreas Bentzen Winje. It contains human-produced and machine-generated text samples of scientific research abstracts. 
A reformatted version for text-classification is available in the dataset collection [Human-vs-Machine](https://huggingface.co/datasets/NicolaiSivesind/human-vs-machine). In this collection, all samples are split into separate data points for real and generated, and labeled either 0 (human-produced) or 1 (machine-generated).

Specifications:
+ Generated samples are produced using the GPT-3.5 model, _GPT-3.5-turbo-0301_ (Snapshot of the model used in ChatGPT 1st of March, 2023).
  + Target content prompted using title of real abstract
  + Target word count equal to the human-produced abstract
+ Contains 10k data points of each class.
+ Created by Nicolai Thorer Sivesind

More information about production and contents will be added in the end of may 2023.

### Citation
Please use the following citation:
```
@misc {sivesind_2023,
    author       = { {Nicolai Thorer Sivesind}},
    title        = { ChatGPT-Generated-Abstracts },
    year         = 2023,
    publisher    = { Hugging Face }
}
```

More information about the dataset will be added once the thesis is finished (end of may 2023).