| language: | |
| - en | |
| license: mit | |
| task_categories: | |
| - text-generation | |
| - text-classification | |
| tags: | |
| - fact-checking | |
| - source-verification | |
| - anti-hallucination | |
| - citation | |
| - reality-check | |
| - reasoning | |
| - strict-verification | |
| - anti-overthink | |
| - logic | |
| size_categories: | |
| - 1M<n<10M | |
| # Strict Verification Reasoning Dataset | |
| ## Description | |
| A dataset for training language models to verify facts, check sources, evaluate arguments, and avoid overthinking. | |
| ## Content | |
| - **1,010,000** examples | |
| - **5 categories**: anti-overthink, comparisons, strict facts, strict sources, strict arguments | |
| - **English language** | |
| ## Categories | |
| | Category | Description | % | | |
| |----------|-------------|---| | |
| | **Anti-Overthink** | Simple, direct answers | 15% | | |
| | **Comparisons** | Hallucination vs correct answer | 20% | | |
| | **Strict Facts** | Fact verification with evidence | 20% | | |
| | **Strict Sources** | Source reliability evaluation | 20% | | |
| | **Strict Arguments** | Logical validity check | 25% | | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("Lelonthecodeur/strict-verification-reasoning") | |
| ``` | |
| ## Created by | |
| Léon (13 years old) - Motif AI Labs | |