- conda 4.12.0 (later versions may also work) - Installation
- VS Code - Ubuntu Installation
- (Optional) CUDA Version: 11.4; Driver Version: 470.129.06 - Installation
If you have CUDA
conda env create -f environment_gpu.yaml
Otherwise
conda env create -f environment.yaml
You may use any port
jupyter lab --port 7766
- Workshop. Colab
- Week 1 Session 1
- Week 1 Session 2
- Week 2 Session 1
- Week 2 Session 2
- Week 3 Session 1
- Week 3 Session 2
- Create Kaggle account
- Create Notebook
- Explore docs and find out how
- Add Kaggle dataset to notebook
- Turn on GPU
- Create Notebook in Colab
- Enable GPU
- Add Kaggle dataset to Colab - https://www.geeksforgeeks.org/how-to-import-kaggle-datasets-directly-into-google-colab/
- For Week 2 and 3 we will use Kaggle datasets. Prepare in advance
- Fake and real news dataset API command:
kaggle datasets download -d clmentbisaillon/fake-and-real-news-dataset
- Toxic Comment Classification Challenge API command:
kaggle competitions download -c jigsaw-toxic-comment-classification-challenge
- Our propaganda detection dataset -
kaggle datasets download -d vladimirsydor/propaganda-detection-our-data
- Unsupervised ru propaganda dataset 01-02-2022 till 30-01-2023 -
kaggle datasets download -d vladimirsydor/ru-propaganda-2022-year
- Fake and real news dataset API command:
- Create Kaggle account
- Create Kaggle account
- Proceed with Installation & Authentication
- Download dataset with API command