Humans Interaction Choice Rejection
Investigating Responses Through Selection and Rejection
By Huggingface Hub [source]
About this dataset
This dataset provides an exploratory look into human-human interactions, examining how they respond to prompts, whether they choose or reject the responses they give to those prompts. It includes detailed records of the prompt, response chosen/rejected, as well as a summary of all associated information. By analyzing this data set we can begin to understand underlying patterns and motivations associated with how people interact with each other. This dataset is a invaluable resource for research in social psychology and beyond
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How to use the dataset
This dataset provides invaluable insights into how humans interact with each other by studying the responses given to prompts and determining if those responses were chosen or rejected. With this dataset, it is possible to understand how humans think when responding to different types of prompts.
To use this dataset, you can explore the various aspects of prompt/response choice and rejection such as examining the differences in acceptance/rejection between different types of prompts; analysing which responses are chosen or rejected by individuals; looking for correlations between response acceptance/rejection and factors such as gender, age etc.; exploring whether there are particular words that differentiate accepted vs. rejected responses; and assessing how consistency over time affects decision making.
By understanding what is happening at a deeper level when it comes to human-human interactions, we can better our communication techniques within interpersonal relationships as well as in business settings. We hope that through using this dataset, you gain further insights about yourself and others around you!
Research Ideas
- Analyzing the influence of prompt type on human interactions by observing how different prompts elicit different responses and are chosen or rejected.
- Examining patterns in human dialogue by comparing which responses to a given prompt are chosen more often or find differences between attempts that were accepted and those that were rejected.
- Evaluating the ability to use data from human-human interactions to train a Machine Learning model for automated response generation in chatbot applications
Acknowledgements
If you use this dataset in your research, please credit the original authors.
Data Source
License
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
Columns
File: train.csv
| Column name |
Description |
| prompt |
The prompt given by one of the participants during a conversation or interaction. (String) |
| response |
The response given by that same participant after being prompted. (String) |
| chosen |
Indicates whether a particular response was chosen by that same participant after receiving it from his or her partner in conversation. (Boolean) |
| rejected |
Indicates whether a particular response was rejected by that same participant after receiving it from his or her partner in conversation. (Boolean) |
File: test.csv
| Column name |
Description |
| prompt |
The prompt given by one of the participants during a conversation or interaction. (String) |
| response |
The response given by that same participant after being prompted. (String) |
| chosen |
Indicates whether a particular response was chosen by that same participant after receiving it from his or her partner in conversation. (Boolean) |
| rejected |
Indicates whether a particular response was rejected by that same participant after receiving it from his or her partner in conversation. (Boolean) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Huggingface Hub.