| --- |
| dataset_info: |
| features: |
| - name: text |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 31705238 |
| num_examples: 200000 |
| download_size: 197019 |
| dataset_size: 31705238 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: mit |
| --- |
| --- |
| language: |
| - en |
| license: mit |
| task_categories: |
| - text-generation |
| - text-classification |
| tags: |
| - fact-checking |
| - source-verification |
| - anti-hallucination |
| - citation |
| - reality-check |
| - reasoning |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # Source Check Dataset |
| |
| ## Description |
| A dataset for training language models to cite sources, verify facts, check reliability, and reduce hallucinations. |
| |
| ## Content |
| - **200,000** examples |
| - **5 categories**: source reliability, citations, anti-hallucination, reality check, explanation |
| - **English language** |
| |
| ## Categories |
| |
| | Category | Description | |
| |----------|-------------| |
| | **Source Reliability** | Model evaluates the reliability of sources | |
| | **Citations** | Model cites its sources | |
| | **Anti-Hallucination** | Model avoids making things up | |
| | **Reality Check** | Model verifies facts and myths | |
| | **Explanation** | Model explains and verifies | |
| |
| ## Usage |
| |
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("Lelonthecodeur/source-check-dataset") |
