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---
license: odbl
task_categories:
- tabular-regression
language:
- en
tags:
- climate
size_categories:
- 100K<n<1M
---
## Cluj Napoca Weather Dataset
A weather dataset of Cluj Napoca taken from the OpenWheather History API. It was scraped from the Open Weather
Map using their Weather API. The data collected was from January 1st 2008 until May 2023
at an hourly rate. The columns are presented in the image below:
### Long Time Series Predictions
Clone the [Time-Series-Library](https://github.com/thuml/Time-Series-Library) repository.
```
git clone https://github.com/thuml/Time-Series-Library.git
```
For training the model create a folder called dataset. After that you can either modify the .sh files (for me it didn't work), or run the [predict.ipynb](https://huggingface.co/datasets/LaurentiuStancioiu/Cluj-Napoca-Weather-OpenWeather-data/blob/main/predict.ipynb)
jupyter notebook.
Alternatively, check the HuggingFace implementations for [Informer](https://huggingface.co/docs/transformers/model_doc/informer),
[Autoformer](https://huggingface.co/docs/transformers/model_doc/autoformer), [Vanilla Transformer](https://huggingface.co/docs/transformers/model_doc/time_series_transformer),
[PatchTST](https://huggingface.co/docs/transformers/model_doc/patchtst) and [PatchTSMixer](https://huggingface.co/docs/transformers/model_doc/patchtsmixer)
### Results
Without any hyperparameter tuning the results on this dataset were the following:
A description of what I did to get to those results can be found [here](https://huggingface.co/datasets/LaurentiuStancioiu/Cluj-Napoca-Weather-OpenWeather-data/blob/main/Long%20Term%20Time%20Series%20Forecasting%20for%20Cluj-Napoca%20Weather%20Prediction.pdf).
Also, the trained checkpoints are [here](https://huggingface.co/datasets/LaurentiuStancioiu/Cluj-Napoca-Weather-OpenWeather-data/tree/main).
The data is licensed per OpenWeather under the [odbl license](https://opendatacommons.org/licenses/odbl/). |