Make feedback dataset primary, reorder documentation

README.md

@@ -14,11 +14,11 @@ pretty_name: HUMAINE Human-AI Interaction Evaluation Dataset
 size_categories:
 - 100K<n<1M
 configs:
-- config_name: conversations_metadata
-  data_files: conversations_metadata_dataset.parquet
-  default: true
 - config_name: feedback_comparisons  
   data_files: feedback_dataset.parquet
+  default: true
+- config_name: conversations_metadata
+  data_files: conversations_metadata_dataset.parquet
 ---
 
 # HUMAINE: Human-AI Interaction Evaluation Dataset
@@ -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:
-- **Conversations Metadata**: 40,332 conversations with task complexity, achievement, and engagement scores
 - **Feedback Comparisons**: 105,220 pairwise model comparisons across multiple evaluation metrics
+- **Conversations Metadata**: 40,332 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.
 
@@ -49,25 +49,15 @@ The dataset consists of two main components:
 
 The dataset contains two CSV files:
 
-1. **`conversations_metadata_dataset.csv`** (40,332 rows)
-   - Metadata about individual conversations between users and AI models
-   - Includes task types, domains, and performance scores
-
-2. **`feedback_dataset.csv`** (105,220 rows)
+1. **`feedback_dataset.csv`** (105,220 rows)
    - Pairwise comparisons between different AI models
    - Includes demographic information and preference choices
 
-### Data Fields
+2. **`conversations_metadata_dataset.csv`** (40,332 rows)
+   - Metadata about individual conversations between users and AI models
+   - Includes task types, domains, and performance scores
 
-#### Conversations Metadata
-- `conversation_id`: Unique identifier for the conversation
-- `model_name`: Name of the AI model used
-- `task_type`: Type of task (information_seeking, technical_assistance, etc.)
-- `domain`: Domain of the conversation (health_medical, technology, travel, etc.)
-- `task_complexity_score`: Complexity rating (1-5)
-- `goal_achievement_score`: How well the goal was achieved (1-5)
-- `user_engagement_score`: User engagement level (1-5)
-- `total_messages`: Total number of messages in the conversation
+### Data Fields
 
 #### Feedback Comparisons
 - `conversation_id`: Unique identifier linking to conversation metadata
@@ -80,11 +70,21 @@ The dataset contains two CSV files:
 - `political_affilation`: Political affiliation of the evaluator
 - `country_of_residence`: Country of residence of the evaluator
 
+#### Conversations Metadata
+- `conversation_id`: Unique identifier for the conversation
+- `model_name`: Name of the AI model used
+- `task_type`: Type of task (information_seeking, technical_assistance, etc.)
+- `domain`: Domain of the conversation (health_medical, technology, travel, etc.)
+- `task_complexity_score`: Complexity rating (1-5)
+- `goal_achievement_score`: How well the goal was achieved (1-5)
+- `user_engagement_score`: User engagement level (1-5)
+- `total_messages`: Total number of messages in the conversation
+
 ## Usage
 
 This dataset contains two CSV files that can be joined on the `conversation_id` field:
+- `feedback_dataset.csv`: Pairwise model comparisons with demographic information (primary dataset)
 - `conversations_metadata_dataset.csv`: Metadata about each conversation
-- `feedback_dataset.csv`: Pairwise model comparisons with demographic information
 
 Both files are included in this single dataset repository and can be accessed using HuggingFace's dataset loading utilities.