Update README.md

README.md

@@ -270,20 +270,18 @@ dataset_info:
   dataset_size: 643916000
 ---
 
-# Personality Alignment with Personality Inventories (PAPI) Dataset
+# Personality Alignment with Personality Inventories (PAPI) Dataset - 600K Version
 
 ## Overview
 
-The Personality Alignment with Personality Inventories (PAPI) dataset is a large-scale, real-world collection of personality assessments designed to evaluate the consistency between Personality-aligned Language Models (LLMs) and human preferences. This dataset contains 307,313 samples of multiple-choice questionnaire responses, providing a comprehensive resource for research in personality psychology and AI alignment.
+The 600K Personality Alignment with Personality Inventories (PAPI) dataset is an expanded version of the original PAPI dataset, focusing solely on the IPIP-NEO-120 questionnaire. This large-scale collection of personality assessments is designed to provide a more comprehensive resource for research in personality psychology and AI alignment, with a particular emphasis on the shorter IPIP-NEO-120 format.
 
 ## Dataset Description
 
 ### Size and Structure
-- Total samples: 307,313 (Dev-Set and Test-Set)
+- Total samples: Approximately 619150
 - Each sample contains:
   - IPIP-NEO-120 questionnaire responses
-  - IPIP-NEO-300 questionnaire responses
-
 
 ### Question Format
 - Each question is associated with one of the five major personality dimensions
@@ -292,10 +290,10 @@ The Personality Alignment with Personality Inventories (PAPI) dataset is a large
 
 ### Demographic Information
 - Gender distribution: 
-  - Female: ~60% (185,149 participants)
-  - Male: ~40% (122,164 participants)
+  - Female: ~60% 
+  - Male: ~40% 
 - Age range: 10 to 99 years
-- Average age: 25.19 years
+- Average age: Approximately 25 years
 - Geographical diversity: Participants from various countries including the USA, UK, France, India, and China
 
 ## Data Collection
@@ -303,20 +301,19 @@ The Personality Alignment with Personality Inventories (PAPI) dataset is a large
 - Source: International Personality Item Pool (IPIP)
 - Collection period: 1998 to 2019
 - Method: Online surveys
-- Survey duration: 30 to 50 minutes per participant
+- Survey duration: Approximately 15 to 25 minutes per participant (estimated for IPIP-NEO-120)
 - Anonymity: All responses are anonymous
 
 ## Data Processing
 
-- K-Means clustering applied to create a representative Test-Set
-- 300 representative clusters selected as Test-Set
-- Remaining data released as Dev-Set
+- The dataset includes all available IPIP-NEO-120 responses, providing a larger sample size for analysis
+- No specific test set has been extracted; researchers can create their own train/test splits as needed
 
 ## Evaluation Methods
 
-- Behavioral difference score used as an evaluation metric
+- Behavioral difference score can be used as an evaluation metric
 - Scoring function assigns values from 5 to 1 for responses ranging from "Very Accurate" to "Very Inaccurate"
-- Aligned Score calculated for each Big Five trait
+- Aligned Score can be calculated for each Big Five trait based on the IPIP-NEO-120 responses
 
 ## Ethical Considerations
 
@@ -327,12 +324,15 @@ The Personality Alignment with Personality Inventories (PAPI) dataset is a large
 
 ## Dataset Analysis
 
-Detailed analysis of the dataset is provided, including:
+Users of this dataset are encouraged to perform their own analysis, which may include:
 - Demographic distributions (age, gender, country)
 - Personality trait distributions for the Big Five traits
-- Comparison between the Total dataset and the Test-Set
+- Correlations between different personality traits
+- Comparative studies with other personality assessment tools
 
+## Usage and Permissions
 
+The 600K PAPI dataset is available for research purposes. Users are granted permission to use IPIP items, scales, and inventories for any purpose, commercial or non-commercial.
 
 ## Citation
 
@@ -358,4 +358,14 @@ [email protected]
 
 ## Acknowledgments
 
-We thank the administrators of the International Personality Item Pool (IPIP) for granting permission to use their items, scales, and inventories. We also express our gratitude to all the volunteers who participated in this study, contributing to the advancement of personality research and AI alignment.
+We thank the administrators of the International Personality Item Pool (IPIP) for granting permission to use their items, scales, and inventories. We also express our gratitude to all the volunteers who participated in this study, contributing to the advancement of personality research and AI alignment.
+
+
+## Note on Dataset Differences
+
+This 600K version of the PAPI dataset differs from the original version in the following ways:
+1. It contains only IPIP-NEO-120 questionnaire responses, not IPIP-NEO-300.
+2. It includes a larger number of samples (approximately 600,000 vs. 307,313).
+3. It does not have a pre-defined test set, allowing researchers more flexibility in data usage.
+
+Researchers should consider these differences when deciding which version of the dataset to use for their specific research needs.