metadata
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
from datasets import load_dataset
dataset = load_dataset("Lelonthecodeur/strict-verification-reasoning")
Created by
Léon (13 years old) - Motif AI Labs