| title: Swedish Causality Detection | |
| emoji: ⚡ | |
| colorFrom: yellow | |
| colorTo: red | |
| sdk: gradio | |
| sdk_version: 5.9.1 | |
| app_file: app.py | |
| pinned: false | |
| license: cc-by-4.0 | |
| # Swedish Causality Detection | |
| Detect causal relations in Swedish text using machine learning. | |
| **Author:** Birger Moëll, Uppsala NLP | |
| ## Features | |
| - Binary classification: causal vs non-causal | |
| - Trained on Swedish Government Official Reports | |
| - Uses multilingual sentence embeddings | |
| ## Links | |
| - [Uppsala NLP](https://huggingface.co/UppsalaNLP) | |
| - [Swedish Causality Dataset](https://huggingface.co/datasets/UppsalaNLP/swedish-causality-binary) | |
| - [GitHub Repository](https://github.com/UppsalaNLP/Swedish-Causality-Datasets) | |