Added descriptions for 10 dimensions

README.md

@@ -15,16 +15,18 @@ This classifier is intended to predict the existence of social values from text
 *Disclaimer: this is not the official repo published by the authors of the paper, and may not truly replicate the performance described in the original study* 
 
 ## Value dimensions
-1. security
-2. power
-3. achievement
-4. hedonism
-5. stimulation
-6. self-direction
-7. universalism
-8. benevolence
-9. conformity
-10. tradition
+In this model we follow the 10-dimensional categorization of the Schwartz values. [link](https://en.wikipedia.org/wiki/Theory_of_basic_human_values)
+
+1. security – safety, harmony, and stability of society, of relationships, and of self
+2. power – social status and prestige, control or dominance over people and resources
+3. achievement – personal success through demonstrating competence according to social standards
+4. hedonism – pleasure or sensuous gratification for oneself
+5. stimulation – excitement, novelty and challenge in life
+6. self-direction – independent thought and action—choosing, creating, exploring
+7. universalism – understanding, appreciation, tolerance, and protection for the welfare of all people and for nature
+8. benevolence – preserving and enhancing the welfare of those with whom one is in frequent personal contact (the 'in-group')
+9. conformity – restraint of actions, inclinations, and impulses likely to upset or harm others and violate social expectations or norms
+10. tradition – respect, commitment, and acceptance of the customs and ideas that one's culture or religion provides
     
 ## Datasets
 This model is finetuned on two datasets: ValueNet (A New Dataset for Human Value Driven Dialogue System, Qiu et al. 2021) and Touche23-ValueEval (The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments, Mirzakhmedova et al., 2023).
@@ -59,7 +61,7 @@ Please make sure to follow the exact format "<value\_name>" at the beginning of
 - Epochs: 10 w/ early stopping after no F1 increase in 3 epochs
 - Learning rate: 5e-5 w/ warmup for 0.03 steps and subsequent linear decay
 - Batch size: 32
-- Upsampled training set to maintain 1:1 balance for pos:neg labels
+- Upsampled training set to maintain 1:1 balance for pos:neg labels.
 
 ## References
 - Do Differences in Values Influence Disagreements in Online Discussions? (EMNLP'23) [link](https://aclanthology.org/2023.emnlp-main.992/)