Can ChatGPT Assess Human Personalities?
A General Evaluation Framework

By Haocong Rao, Cyril Leung, and Chunyan Miao. In EMNLP 2023 (Findings).

Introduction

This is a simplified implementation of automated testing codes for “Can ChatGPT Assess Human Personalities? A General Evaluation Framework”. The codes are used to produce one independent testing result of personality assessment. Users may customize the codes to execute multiple testings to reproduce the complete result in the paper.

Environment

pip install openai, ChatGPT_lite, asyncio, requests, brotli, numpy, csv, json

Usage

The first way (Using ChatGPT_lite Library): Simply run Query_ChatGPT.py and Query_InstructGPT.py to query personalities of different subjects ("People", "Men", "Women", "barbers", "accountants", "doctors") with ChatGPT or InstructGPT. The program will automatically save the answers of ChatGPT and InstructGPT into .csv files. We provide two example saved files in /ChatGPT and /InstructGPT.
The second way (Using OpenAI API): Run Query_GPT.py as below to query personalities of different subjects with GPT4 ("gpt-4"), ChatGPT ("gpt-3.5-turbo") or InstructGPT ("text-davinci-003"). The program will automatically save the answers of GPT4, ChatGPT or InstructGPT into .csv files. We provide two example saved files in /GPT4, /ChatGPTand /InstructGPT. Note that GPT-4 is currently only accessible to those who have been granted access. Users can apply for the GPT-4 API here. The API key can be viewed here.

python Query_GPT.py --model ChatGPT --api_key [input your api key]

# Default options: --model GPT4 
# --model [GPT4, ChatGPT, InstructGPT]

After assessing/saving the MBTI answers of different subjects, simply run Crawler_16personalities.py to automatically submit the saved answers to the MBTI testing website 16personalities, and return the results of personality scores, types, and roles.

An example result returned from Crawler_16personalities.py is shown as:

Subject: Men
Trait: Extraverted (E) 59 | Introverted (I) 41
Trait: Intuitive (N) 62 | Observant (S) 38
Trait: Thinking (T) 48 | Feeling (F) 52
Trait: Judging (J) 63 | Prospecting (P) 37
Trait: Assertive (A) 40 | Turbulent (T) 60
Character: enfj-protagonist
Dic. Judge: ENFJ-T Protagonist

Note: Query_ChatGPT.py (Line 160) requires the session token from the ChatGPT interface, and it is free and connected using ChatGPT_lite library. Query_InstructGPT.py (Line 8) requires the API key generated from your OpenAI account.

Configuration

In Query_InstructGPT.py (Line 119) and Query_GPT.py (Line 139), the model can be changed to different GPT-3/3.5 series such as "text-davinci-003", "text-davinci-002", "text-davinci-001", "text-curie-001", etc. Different versions of ChatGPT and GPT-4 can also be loaded in Query_GPT.py (Line 130 and Line 122).

response = openai.Completion.create(
model="text-davinci-003",  # choose your testing LLM
prompt=[statement + instruction],
temperature=1.0,
max_tokens=2000,
top_p=1,
frequency_penalty=0,
presence_penalty=0)

Update

Update on [2 March 2023]: Currently ChatGPT API is available, and users can load its official model "gpt-3.5-turbo" or "gpt-3.5-turbo-0301" in Query_InstructGPT.py to perform a more stable testing with ChatGPT.
Update on [16 April 2023]: Currently ChatGPT_lite library may not work, so we add the file Query_GPT.py to use the official OpenAI API for testing GPT4 ("gpt-4"), ChatGPT ("gpt-3.5-turbo"), and InstructGPT ("text-davinci-003"). Note that GPT-4 is currently only accessible to those who have been granted access. Users can apply for the GPT-4 API here. The API key can be viewed here.
Update on [9 July 2023]: We develop a desktop application (LLMs-PA-V1.0.exe) with a friendly UI to visualize the human personality assessment via LLMs. Users can easily utilize this UI to test GPT models (InstructGPT, ChatGPT, GPT-4) on different subjects (60 professions and 5 general people groups) with different questions. The source codes will be released soon. The overview of the current repository can be presented as follows:

LLMs-PA UI Usage

1. Menu overview (API Key Required)

2. Query different subjects (65 Subjects)

3. Make a single-question query

4. Query all questions

5. Obtain personality results

For more details on these functions, please refer to the framework in our paper.

Citation

If you found this repository useful, please consider citing:

@article{rao2023can,
  title={Can {ChatGPT} Assess Human Personalities? A General Evaluation Framework},
  author={Rao, Haocong and Leung, Cyril and Miao, Chunyan},
  journal={arXiv preprint arXiv:2303.01248},
  year={2023}
}

License

ChatGPT-MBTI is released under the MIT License.

Kali-Hac / ChatGPT-MBTI