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How to use this repository: if you know exactly what you are looking for (e.g. you have the paper name) you can Control+F to search for it in this page (or search in the raw markdown). Land use classification dataset with 21 classes and 100 RGB TIFF images for each class. Each image measures 256x256 ...
The Kaggle API follows the Data Package specification for specifying metadata when creating new Datasets and Dataset versions. Next to your files, you have to put a special dataset-metadata.json file in your upload folder alongside the files for each new Dataset (version). Here's a basic example for dataset-metadata.json:
Kickstart ML through these 20+ foundational projects; Kaggle datasets, problem statements and comprehensive EDA (Exploratory Data Analysis) walkthroughs. Topics machine-learning deep-learning algorithms regression artificial-intelligence colab-notebook classificaton deepnote notebooks-jupyter
Step 1: Setup Kaggle CLI. The FraudDatasetBenchmark object is going to load datasets from the source (which in most of the cases is Kaggle), and then it will modify/standardize on the fly, and provide train-test splits. So, the first step is to setup Kaggle CLI in the machine being used to run Python.
To run integration tests on your local machine, you need to set up your Kaggle API credentials. You can do this in one of these two ways described this doc. Refer to the sections: Using environment variables. Using credentials file. After setting up your credentials by any of these methods, you can run the integration tests as follows:
A Python library for downloading datasets from Kaggle, Google Drive, and other online sources. - JovianHQ/opendatasets
🤗 Datasets is a lightweight library providing two main features:. one-line dataloaders for many public datasets: one-liners to download and pre-process any of the major public datasets (image datasets, audio datasets, text datasets in 467 languages and dialects, etc.) provided on the HuggingFace Datasets Hub.
Based on the toast notifications in the Kaggle web app, it looked like clicking "Expire API Token" followed by "Create New API Token" actually resulted in the new token getting created and then immediately being expired. When I clicked "Create" without first "Expire", the newly generated token worked as expected. 2.