| # 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) |
| - **Total rows**: 2,480 |
| - **Complete rows**: 2381 (96.0%) |
| - **Includes**: All rows from original dataset, including those with missing comment IDs |
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| ### 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 |
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| ## Key Statistics (Complete-Only Version) |
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| - **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 |
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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) |
| 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. **Filtering**: Complete-only version includes only rows with both comment IDs |
| 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 |
| ```python |
| from datasets import load_dataset |
| |
| # 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") |
| |
| # All rows are guaranteed to have both chosen_comment_id and rejected_comment_id |
| ``` |
|
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| ### Loading the Full Dataset |
| ```python |
| from datasets import load_dataset |
| |
| # 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") |
| ``` |
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| ## Data Quality |
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| | Metric | Full Dataset | Complete-Only | |
| |--------|--------------|---------------| |
| | **Text Fidelity** | 99%+ | 99%+ | |
| | **Completeness** | 96.0% | 100.0% | |
| | **False Positives** | 0 | 0 | |
| | **Data Consistency** | Perfect | Perfect | |
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| ## Dataset Structure |
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| Each row contains: |
| - `chosen_comment_id`: Reddit comment ID for the preferred story |
| - `rejected_comment_id`: Reddit comment ID for the less preferred story |
| - `chosen_reddit_post_id`: Reddit post ID containing the chosen story |
| - `rejected_reddit_post_id`: Reddit post ID containing the rejected story |
| - Additional metadata fields from the original dataset |
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| ## Methodology |
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| ### 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 |
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| ### 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 |
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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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| ``` |
| Original LitBench Dataset: [Original paper citation] |
| Enhanced with 425 additional comment IDs through intelligent text matching (96.0% completeness achieved) |
| ``` |
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| ## Technical Details |
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| - **Enhancement method**: Difflib sequence matching with 90%+ similarity threshold |
| - **Recovery rate**: 74% success rate for missing comment IDs |
| - **Processing time**: Approximately 45-60 minutes for full enhancement |
| - **Validation**: Multiple verification passes with strict quality controls |
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| ## Related Datasets |
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| - `SAA-Lab/LitBench-Test`: Original dataset |
| - `SAA-Lab/LitBench-Test-IDs`: Original comment ID dataset (81.9% complete) |
| - `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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