---
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")