Publicly Available Datasets Sources

A concise overview of various datasets and repositories across different domains, including government, finance, healthcare, NLP, and computer vision, along with domain-specific repositories like AWS.

Popular Dataset Repositories:

1. Google Dataset Search: A search engine to find datasets across the web.

2. Kaggle: A platform for data science competitions with a vast collection of datasets.

3. UCI Machine Learning Repository: A collection of datasets for machine learning research.

4. AWS Public Datasets: A repository of datasets hosted on Amazon Web Services.

Datasets for Specific Domains:

• Computer Vision: ImageNet, CIFAR-10, MNIST

• Natural Language Processing: Wikipedia, Common Crawl, Gutenberg Corpus

• Healthcare: MIMIC-III, PhysioNet

• Finance: Yahoo Finance, Quandl

Other Resources:

• Papers With Code: A website that links research papers with their corresponding code and datasets.

• Awesome Public Datasets: A curated list of datasets on GitHub.

Accessing Datasets in Colab:

You can access these datasets in Colab using various methods such as:

1. Downloading: Download the dataset directly from the source and upload it to your Colab environment.

2. Mounting Google Drive: Mount your Google Drive to Colab and access datasets stored there.

3. Using APIs: Many platforms provide APIs to access their datasets directly within Colab.

4. Using Libraries: Some libraries, like TensorFlow Datasets, provide pre-built functions to load popular datasets.