File size: 1,664 Bytes
949c2bd 9c7423f ef8d220 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
---
dataset_info:
features:
- name: website
dtype: string
- name: title
dtype: string
- name: url
dtype: string
- name: domain
dtype: string
- name: slop
dtype: string
- name: content
dtype: string
splits:
- name: train
num_bytes: 9210022
num_examples: 963
download_size: 3897976
dataset_size: 9210022
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- text-classification
language:
- en
size_categories:
- n<1K
---
# 🗂️ Stop Slop Dataset
This is a dataset scraped from multiple news and entertainment websites.
Each entry is labeled as `Slop` or `Non-Slop` depending on content quality.
## 📄 Dataset Details
- **Website**: Source domain (e.g., NY Times, BBC)
- **Title**: Title of the page
- **URL**: Direct link
- **Domain**: News, Lifestyle, etc.
- **Slop**: Label (`Slop` / `Non-Slop`)
- **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))
## 📊 Dataset Overview
- **963 examples** labeled as `Slop` or `Non-Slop`.
## 🛠️ Scraping and Preprocessing
This is part of the [stop-slop project](https://github.com/elalber2000/stop_slop)
The code used for scraping and cleaning this dataset is available [here](https://github.com/elalber2000/stop_slop/tree/main/src/scrapping).
## 📜 License
Distributed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
## 🚀 Usage Example
```python
from datasets import load_dataset
dataset = load_dataset("elalber2000/stop-slop-data")
```
|