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---
license: mit
task_categories:
- text-classification
language:
- en
size_categories:
- 100K<n<1M
---
### Dataset Description
This dataset contains 105,000 sentences, each labeled as either human-written (`0`) or AI-generated (`1`). It is designed for text classification tasks, particularly for distinguishing between human and AI-generated text.
### Dataset Structure
- **Number of Instances**: 105,000 sentences
- **Labels**:
- `0`: Human-written
- `1`: AI-generated
### Usage
This dataset can be used to train models for text classification tasks. Below is an example of how to load and use the dataset with the Hugging Face `datasets` library:
```python
from datasets import load_dataset
dataset = load_dataset("shahxeebhassan/human_vs_ai_sentences")
```
### Data Fields
- **text**: The text of the sentence.
- **label**: The label indicating whether the sentence is human-written (`0`) or AI-generated (`1`).
### License
This dataset is licensed under the MIT License.
### Task Categories
- Text Classification
### Languages
- English (`en`)
### Size Categories
- 100K < n < 1M
### Source Data
The sentences in this dataset were collected from various sources to ensure a diverse range of topics and writing styles.
### Acknowledgements
This dataset was created to support research and development in the field of AI and text classification.
--- |