Update README

README.md

@@ -30,8 +30,8 @@ configs:
 The HUMAINE dataset contains human evaluations of AI model interactions across diverse demographic groups and conversation contexts. This dataset powers the [HUMAINE Leaderboard](https://huggingface.co/spaces/ProlificAI/humaine-leaderboard), providing insights into how different AI models perform across various user populations and use cases.
 
 The dataset consists of two main components:
-- **Feedback Comparisons**: 119,889 pairwise model comparisons across multiple evaluation metrics
-- **Conversations Metadata**: 47,955 conversations with task complexity, achievement, and engagement scores
+- **Feedback Comparisons**: Pairwise model comparisons across multiple evaluation metrics
+- **Conversations Metadata**: Conversations with task complexity, achievement, and engagement scores
 
 **Note**: There may be a slight discrepancy between the numbers in this dataset and the leaderboard app due to changes in consent related to data release and the post-processing steps involved in preparing this dataset.
 
@@ -49,11 +49,11 @@ The dataset consists of two main components:
 
 The dataset contains two CSV files:
 
-1. **`feedback_dataset.csv`** (119,889 rows)
+1. **`feedback_dataset.csv`**
    - Pairwise comparisons between different AI models
    - Includes demographic information and preference choices
 
-2. **`conversations_metadata_dataset.csv`** (47,955 rows)
+2. **`conversations_metadata_dataset.csv`**
    - Metadata about individual conversations between users and AI models
    - Includes task types, domains, and performance scores