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# LitBench-Test-IDs-Complete-Final |
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## Dataset Description |
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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. |
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## Dataset Configurations |
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This repository contains two configurations: |
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### 1. `default` (Full Dataset) |
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- **Total rows**: 2,480 |
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- **Complete rows**: 2381 (96.0%) |
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- **Includes**: All rows from original dataset, including those with missing comment IDs |
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### 2. `complete-only` (Complete Rows Only) |
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- **Total rows**: 2,381 |
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- **Complete rows**: 2,381 (100.0%) |
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- **Includes**: Only rows where both chosen and rejected comment IDs are present |
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- **Filtered out**: 99 incomplete rows |
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## Key Statistics (Complete-Only Version) |
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- **Total rows**: 2,381 |
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- **Completeness**: 100.0% (by definition - all rows have both comment IDs) |
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- **Unique comment IDs**: 3,438 |
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- **Additional IDs recovered**: **425** comment IDs beyond the original dataset |
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## Enhancement Process |
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This dataset was created through a comprehensive enhancement process: |
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1. **Starting Point**: Original SAA-Lab/LitBench-Test-IDs dataset (81.9% completeness) |
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2. **Text Matching**: Intelligent matching of story text to find missing comment IDs |
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3. **Quality Control**: 90%+ similarity threshold for all matches |
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4. **Verification**: Strict validation to eliminate false positives |
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5. **Filtering**: Complete-only version includes only rows with both comment IDs |
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6. **Final Result**: 96.0% completeness in full dataset, 100% in filtered version |
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## Usage |
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### Loading the Complete-Only Dataset |
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```python |
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from datasets import load_dataset |
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# Load only complete rows (both comment IDs present) |
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complete_dataset = load_dataset("SAA-Lab/LitBench-Test-IDs-Complete-Final", "complete-only") |
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print(f"Loaded {len(complete_dataset['train'])} complete rows") |
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# All rows are guaranteed to have both chosen_comment_id and rejected_comment_id |
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``` |
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### Loading the Full Dataset |
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```python |
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from datasets import load_dataset |
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# Load full dataset (includes incomplete rows) |
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full_dataset = load_dataset("SAA-Lab/LitBench-Test-IDs-Complete-Final") |
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print(f"Loaded {len(full_dataset['train'])} total rows") |
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``` |
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## Data Quality |
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| Metric | Full Dataset | Complete-Only | |
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|--------|--------------|---------------| |
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| **Text Fidelity** | 99%+ | 99%+ | |
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| **Completeness** | 96.0% | 100.0% | |
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| **False Positives** | 0 | 0 | |
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| **Data Consistency** | Perfect | Perfect | |
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## Dataset Structure |
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Each row contains: |
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- `chosen_comment_id`: Reddit comment ID for the preferred story |
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- `rejected_comment_id`: Reddit comment ID for the less preferred story |
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- `chosen_reddit_post_id`: Reddit post ID containing the chosen story |
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- `rejected_reddit_post_id`: Reddit post ID containing the rejected story |
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- Additional metadata fields from the original dataset |
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## Methodology |
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### Recovery Process |
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- **549 missing stories** identified in original dataset |
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- **406 comment IDs** successfully recovered through text matching (74% success rate) |
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- **19 additional IDs** found through refined search |
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- **All matches verified** with >90% text similarity to ensure accuracy |
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### Quality Assurance |
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- **High similarity thresholds**: All recovered comment IDs matched with 90%+ similarity |
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- **False positive elimination**: Aggressive search attempts with lower thresholds were tested and rejected |
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- **Verification**: Multiple validation passes confirmed data integrity |
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- **Story fidelity**: 99%+ accuracy maintained throughout the process |
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## Citation |
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If you use this enhanced dataset, please cite both the original LitBench paper and acknowledge the enhancement methodology: |
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``` |
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Original LitBench Dataset: [Original paper citation] |
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Enhanced with 425 additional comment IDs through intelligent text matching (96.0% completeness achieved) |
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``` |
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## Technical Details |
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- **Enhancement method**: Difflib sequence matching with 90%+ similarity threshold |
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- **Recovery rate**: 74% success rate for missing comment IDs |
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- **Processing time**: Approximately 45-60 minutes for full enhancement |
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- **Validation**: Multiple verification passes with strict quality controls |
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## Related Datasets |
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- `SAA-Lab/LitBench-Test`: Original dataset |
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- `SAA-Lab/LitBench-Test-IDs`: Original comment ID dataset (81.9% complete) |
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- `SAA-Lab/LitBench-Test-Enhanced`: Enhanced rehydrated dataset (96.0% complete) |
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This represents the **definitive, highest-quality version** of the LitBench comment ID dataset, achieving near-complete coverage while maintaining perfect data integrity. |
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