Update documentation to include complete-only configuration

README.md

@@ -1,61 +1,29 @@
----
-configs:
-- config_name: complete-only
-  data_files:
-  - split: train
-    path: complete-only/train-*
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-dataset_info:
-  config_name: complete-only
-  features:
-  - name: prompt
-    dtype: string
-  - name: chosen_story
-    dtype: string
-  - name: rejected_story
-    dtype: string
-  - name: chosen_username
-    dtype: string
-  - name: rejected_username
-    dtype: string
-  - name: chosen_timestamp
-    dtype: string
-  - name: rejected_timestamp
-    dtype: string
-  - name: chosen_upvotes
-    dtype: int64
-  - name: rejected_upvotes
-    dtype: int64
-  - name: chosen_comment_id
-    dtype: string
-  - name: rejected_comment_id
-    dtype: string
-  - name: chosen_reddit_post_id
-    dtype: string
-  - name: rejected_reddit_post_id
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 15739152
-    num_examples: 2381
-  download_size: 8847336
-  dataset_size: 15739152
----
 # LitBench-Test-IDs-Complete-Final
-    
+
 ## Dataset Description
 
 This dataset contains the **complete and verified comment IDs** for the LitBench-Test dataset, enhanced through intelligent text matching techniques. This represents the final, highest-quality version of the comment ID dataset.
 
-## Key Statistics
+## Dataset Configurations
+
+This repository contains two configurations:
 
+### 1. `default` (Full Dataset)
 - **Total rows**: 2,480
-- **Completeness**: 96.0% (both chosen and rejected comment IDs present)
-- **Complete rows**: 2,381 out of 2,480
-- **Unique comment IDs**: 3,476
+- **Complete rows**: 2381 (96.0%)
+- **Includes**: All rows from original dataset, including those with missing comment IDs
+
+### 2. `complete-only` (Complete Rows Only) 
+- **Total rows**: 2,381
+- **Complete rows**: 2,381 (100.0%)
+- **Includes**: Only rows where both chosen and rejected comment IDs are present
+- **Filtered out**: 99 incomplete rows
+
+## Key Statistics (Complete-Only Version)
+
+- **Total rows**: 2,381
+- **Completeness**: 100.0% (by definition - all rows have both comment IDs)
+- **Unique comment IDs**: 3,438
 - **Additional IDs recovered**: **425** comment IDs beyond the original dataset
 
 ## Enhancement Process
@@ -66,46 +34,39 @@ This dataset was created through a comprehensive enhancement process:
 2. **Text Matching**: Intelligent matching of story text to find missing comment IDs
 3. **Quality Control**: 90%+ similarity threshold for all matches
 4. **Verification**: Strict validation to eliminate false positives
-5. **Final Result**: 96.0% completeness with perfect data integrity
-
-## Methodology
-
-### Recovery Process
-- **549 missing stories** identified in original dataset
-- **406 comment IDs** successfully recovered through text matching (74% success rate)
-- **19 additional IDs** found through refined search
-- **All matches verified** with >90% text similarity to ensure accuracy
-
-### Quality Assurance
-- **High similarity thresholds**: All recovered comment IDs matched with 90%+ similarity
-- **False positive elimination**: Aggressive search attempts with lower thresholds were tested and rejected
-- **Verification**: Multiple validation passes confirmed data integrity
-- **Story fidelity**: 99%+ accuracy maintained throughout the process
+5. **Filtering**: Complete-only version includes only rows with both comment IDs
+6. **Final Result**: 96.0% completeness in full dataset, 100% in filtered version
 
-## Data Quality
+## Usage
 
-| Metric | Value |
-|--------|-------|
-| **Text Fidelity** | 99%+ (excellent) |
-| **Completeness** | 96.0% (outstanding) |
-| **False Positives** | 0 (eliminated through strict validation) |
-| **Data Consistency** | Perfect (zero ID-story mismatches) |
+### Loading the Complete-Only Dataset
+```python
+from datasets import load_dataset
 
-## Usage
+# Load only complete rows (both comment IDs present)
+complete_dataset = load_dataset("SAA-Lab/LitBench-Test-IDs-Complete-Final", "complete-only")
+print(f"Loaded {len(complete_dataset['train'])} complete rows")
 
-This dataset can be used to rehydrate the LitBench-Test dataset with 96.0% completeness:
+# All rows are guaranteed to have both chosen_comment_id and rejected_comment_id
+```
 
+### Loading the Full Dataset
 ```python
 from datasets import load_dataset
 
-# Load the enhanced ID dataset
-id_dataset = load_dataset("SAA-Lab/LitBench-Test-IDs-Complete-Final")
-print(f"Loaded {len(id_dataset['train'])} rows with enhanced comment IDs")
+# Load full dataset (includes incomplete rows)
+full_dataset = load_dataset("SAA-Lab/LitBench-Test-IDs-Complete-Final")
+print(f"Loaded {len(full_dataset['train'])} total rows")
 ```
 
-## Files
+## Data Quality
 
-- **train**: The complete dataset with all original and recovered comment IDs
+| Metric | Full Dataset | Complete-Only |
+|--------|--------------|---------------|
+| **Text Fidelity** | 99%+ | 99%+ |
+| **Completeness** | 96.0% | 100.0% |
+| **False Positives** | 0 | 0 |
+| **Data Consistency** | Perfect | Perfect |
 
 ## Dataset Structure
 
@@ -116,6 +77,20 @@ Each row contains:
 - `rejected_reddit_post_id`: Reddit post ID containing the rejected story
 - Additional metadata fields from the original dataset
 
+## Methodology
+
+### Recovery Process
+- **549 missing stories** identified in original dataset
+- **406 comment IDs** successfully recovered through text matching (74% success rate)
+- **19 additional IDs** found through refined search
+- **All matches verified** with >90% text similarity to ensure accuracy
+
+### Quality Assurance
+- **High similarity thresholds**: All recovered comment IDs matched with 90%+ similarity
+- **False positive elimination**: Aggressive search attempts with lower thresholds were tested and rejected
+- **Verification**: Multiple validation passes confirmed data integrity
+- **Story fidelity**: 99%+ accuracy maintained throughout the process
+
 ## Citation
 
 If you use this enhanced dataset, please cite both the original LitBench paper and acknowledge the enhancement methodology: