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--- |
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license: mit |
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task_categories: |
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- text-classification |
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language: |
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- en |
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size_categories: |
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- 100K<n<1M |
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--- |
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### Dataset Description |
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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. |
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### Dataset Structure |
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- **Number of Instances**: 105,000 sentences |
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- **Labels**: |
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- `0`: Human-written |
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- `1`: AI-generated |
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### Usage |
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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: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("shahxeebhassan/human_vs_ai_sentences") |
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``` |
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### Data Fields |
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- **text**: The text of the sentence. |
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- **label**: The label indicating whether the sentence is human-written (`0`) or AI-generated (`1`). |
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### License |
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This dataset is licensed under the MIT License. |
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### Task Categories |
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- Text Classification |
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### Languages |
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- English (`en`) |
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### Size Categories |
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- 100K < n < 1M |
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### Source Data |
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The sentences in this dataset were collected from various sources to ensure a diverse range of topics and writing styles. |
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### Acknowledgements |
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This dataset was created to support research and development in the field of AI and text classification. |
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