File size: 1,295 Bytes
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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") |