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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.

---