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--- |
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dataset_info: |
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features: |
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- name: website |
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dtype: string |
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- name: title |
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dtype: string |
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- name: url |
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dtype: string |
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|
- name: domain |
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dtype: string |
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|
- name: slop |
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dtype: string |
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|
- name: content |
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dtype: string |
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splits: |
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|
- name: train |
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|
num_bytes: 9210022 |
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|
num_examples: 963 |
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download_size: 3897976 |
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dataset_size: 9210022 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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license: cc-by-4.0 |
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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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|
- n<1K |
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--- |
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# 🗂️ Stop Slop Dataset |
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This is a dataset scraped from multiple news and entertainment websites. |
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Each entry is labeled as `Slop` or `Non-Slop` depending on content quality. |
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## 📄 Dataset Details |
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- **Website**: Source domain (e.g., NY Times, BBC) |
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- **Title**: Title of the page |
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- **URL**: Direct link |
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- **Domain**: News, Lifestyle, etc. |
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- **Slop**: Label (`Slop` / `Non-Slop`) |
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- **Content**: Cleaned text from the HTML (for the version with the raw html check [stop-slop-data-html](https://huggingface.co/datasets/elalber2000/stop-slop-data-html)) |
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## 📊 Dataset Overview |
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- **963 examples** labeled as `Slop` or `Non-Slop`. |
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## 🛠️ Scraping and Preprocessing |
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This is part of the [stop-slop project](https://github.com/elalber2000/stop_slop) |
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The code used for scraping and cleaning this dataset is available [here](https://github.com/elalber2000/stop_slop/tree/main/src/scrapping). |
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## 📜 License |
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Distributed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). |
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## 🚀 Usage Example |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("elalber2000/stop-slop-data") |
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``` |
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