sumit1703/pm25-forecasting-data
PM2.5 Forecasting Demo Data This dataset stores the lightweight artifacts used by the Hugging Face Space demo: https://huggingface.co/spaces/sumit1703/pm25-forecasting The files are precomputed outputs from the ANRF AISEHack Phase 2 Theme 2 Pollution Forecasting project. The Space uses these artifacts only for visualization. It does not run live model inference, training, or torch at runtime. Files File Description demo_preds.npy Precomputed PM2.5… See the full description on the dataset page: https://huggingface.co/datasets/sumit1703/pm25-forecasting-data.
PM2.5 Forecasting Demo Data
This dataset stores the lightweight artifacts used by the Hugging Face Space demo:
https://huggingface.co/spaces/sumit1703/pm25-forecasting
The files are precomputed outputs from the ANRF AISEHack Phase 2 Theme 2 Pollution Forecasting project. The Space uses these artifacts only for visualization. It does not run live model inference, training, or torch at runtime.
Files
Intended Use
This dataset is intended for the companion Gradio demo only. It allows the app to load saved prediction artifacts from the Hugging Face Hub instead of storing .npy files inside the GitHub repository.
Source Project
- GitHub: https://github.com/sumitjadhav1703/pm25-forecasting-demo
- Live Space: https://huggingface.co/spaces/sumit1703/pm25-forecasting
- Kaggle Competition: https://www.kaggle.com/competitions/anrf-aise-hack-phase-2-theme-2-pollution-forecasting-iitd
Notes and Limitations
- These files are for demo visualization, not full model training.
- The dataset contains a small subset of demo windows, not the complete competition dataset.
- The predictions are precomputed and static.
- The Space downloads these files at startup using
huggingface_hub.
License
MIT
