Baselight

Anthropic Helpfulness-Harmlessness Preference

Iterative Human-in-the-Loop Solutions

@kaggle.thedevastator_anthropic_helpfulness_harmlessness_preference_da

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About this Dataset

Anthropic Helpfulness-Harmlessness Preference


Anthropic Helpfulness-Harmlessness Preference Dataset

Iterative Human-in-the-Loop Solutions

By Huggingface Hub [source]


About this dataset

This dataset contains the extraordinary research insights from Anthropic Labs, exploring the world of helpfulness and harmlessness preferences. Using a Human-in-the-Loop methodology, this dataset is made up of data points from crowdworkers, who answer various prompts from our models in order to reveal the unique nuances between helpfulness and harmlessness. By bringing together these insights, we can builda better understanding about how these two different concepts interact with each other in our everyday lives – giving us valuable insight into how social dynamics work between people

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How to use the dataset

In order to use this dataset, it is important to understand the columns provided. This dataset includes two columns: ‘chosen’ and ‘rejected’ which represent which option was chosen by the respondent for each prompt they were given. It is important to take note that one of these columns may be left blank depending on the response from a particular participant.

To analyze this data, you will need to compare each response given by participant carefully against one another in order to draw meaningful conclusions about what they think of helpfulness and harmlessness in general as well as in specific cases. Furthermore, different techniques such as natural language processing or topic modeling may also prove beneficial when exploring these datasets due to its qualitative nature.

By understanding the content contained within this dataset properly, we could gain better insight into collective views on helpfulness and harmlessness that exist among those who participated in our research efforts at Anthropic Labs!

Research Ideas

  • This dataset can be used to gain insight into the preferences of the crowdworkers on helpfulness and harmlessness by analyzing their responses to various prompts from our models.
  • We can use this dataset to study different target groups, such as differences between genders, age brackets, or cultural backgrounds, and how these demographics interact with helpfulness and harmlessness preferences.
  • This data can be leveraged to further refine AI models that are designed based on human responses surrounding helpfulness and harmlessness ideas, enabling us to create smarter programs that interact with humans more effectively

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
chosen The chosen option for helpfulness or harmlessness. (String)
rejected The rejected option for helpfulness or harmlessness. (String)

File: test.csv

Column name Description
chosen The chosen option for helpfulness or harmlessness. (String)
rejected The rejected option for helpfulness or harmlessness. (String)

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.

Tables

Test

@kaggle.thedevastator_anthropic_helpfulness_harmlessness_preference_da.test
  • 8.84 MB
  • 8552 rows
  • 2 columns
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CREATE TABLE test (
  "chosen" VARCHAR,
  "rejected" VARCHAR
);

Train

@kaggle.thedevastator_anthropic_helpfulness_harmlessness_preference_da.train
  • 164.41 MB
  • 160800 rows
  • 2 columns
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CREATE TABLE train (
  "chosen" VARCHAR,
  "rejected" VARCHAR
);

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