|
|
--- |
|
|
license: cc |
|
|
language: |
|
|
- en |
|
|
tags: |
|
|
- alignment |
|
|
- personas |
|
|
- personalization |
|
|
pretty_name: PRISM-Filter |
|
|
size_categories: |
|
|
- 1K<n<10K |
|
|
--- |
|
|
|
|
|
# Dataset Card for PERSONAS (Synthetic-Personas) |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
|
|
This dataset is a restricted subset of PRISM, focusing primarily on a questions where different personas could possibly have different answers. This dataset is to be treated as a research artifact, and should be used in tandem with the rest of the PERSONA dataset. The full PERSONA dataset is available here: https://huggingface.co/datasets/SynthLabsAI/PERSONA |
|
|
|
|
|
## Dataset Details |
|
|
|
|
|
### Dataset Description |
|
|
|
|
|
The construction process for this dataset is outlined in the PERSONA (Prism Filter) dataset, but we'll copy it here for brevity. |
|
|
|
|
|
|
|
|
### Dataset Sources |
|
|
|
|
|
As mentioned, the dataset is synthetically constructed. All prompts used can be found in the technical report. |
|
|
We also have a working benchmark that leverages the results of the paper to perform a personification evaluation. |
|
|
|
|
|
- **Paper:** https://www.synthlabs.ai/research/persona |
|
|
|
|
|
## Uses |
|
|
|
|
|
This dataset is intended to be used for personification research and data analysis into a wide spectrum of synthetic persona annotated preferences. |
|
|
We showed in our paper that there is a strong correlation between the dataset we present here and real human preferences, |
|
|
and as such we hope that this dataset can act as a surrogate into a number of more controversial human preferences. |
|
|
|
|
|
## Dataset Structure |
|
|
|
|
|
This dataset follows a similar structure to the PRISM dataset -- every row is a different question found in the prism dataset. Answers are removed as they were not relevant to our study. |
|
|
|
|
|
## Dataset Creation |
|
|
|
|
|
Please review our technical report for a thorough description of the dataset's construction. |
