# 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).
task_categories:text-classification size_categories:10K<n<100k language:en license:cc chatgpt gpt research abstracts region:us
{"language": ["en"], "license": "cc", "size_categories": ["10K<n<100k"], "task_categories": ["text-classification"], "pretty_name": "ChatGPT Research Abstracts - Labled text segments produced by humans and ChatGPT", "tags": ["chatgpt", "gpt", "research abstracts"]}
TAGS
#task_categories-text-classification #size_categories-10K<n<100k #language-English #license-cc #chatgpt #gpt #research abstracts #region-us 

# 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. 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.

Please use the following citation:


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

Please use the following citation:


More information about the dataset will be added once the thesis is finished (end of may 2023).
TAGS
#task_categories-text-classification #size_categories-10K<n<100k #language-English #license-cc #chatgpt #gpt #research abstracts #region-us 
 # 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. 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.

Please use the following citation:


More information about the dataset will be added once the thesis is finished (end of may 2023).
passage: TAGS
#task_categories-text-classification #size_categories-10K<n<100k #language-English #license-cc #chatgpt #gpt #research abstracts #region-us 
# 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. 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.

Please use the following citation:


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