Here are some repositories and resources where you can find datasets for AI, Machine Learning (ML), and Data Science (DS):

Builtin Dataset:

General

• Air Passengers
• Weather History Datasets
• Dataset for Face Recognition
• Dataset for Classification
• Seaborn Datasets For Data Science
• Dataset for Linear Regression
• NLP Datasets of Text, Image and Audio
• Boston Dataset in Sklearn
• Wine Dataset in Sklearn
• Breast Cancer Wisconsin (Diagnostic) Dataset
• Iris Dataset
• Dataset for Text Classification
• Exploring Panel Datasets
• Top 20 hugging Face datasets
• Dataset for Deep Learning
• Dataset for Image Classification
• Cora Dataset
• Dataset for Sentiment Analysis
• IMDB Datasets
• Dataset for Chatbot

Sklearn:

Scikit-learn (sklearn) is a popular machine learning library in Python that provides several datasets for practice and experimentation. Here are some of the commonly used datasets available directly in scikit-learn:

• Toy Dataset
  • Iris Dataset
  • Diabetes Dataset
  • Boston Dataset
  • Wine Dataset
  • Breast Cancer Wisconsin

Keras/Tensorflow

Keras and TensorFlow offer several datasets that can be easily accessed for building and training machine learning models. These datasets are part of the tensorflow.keras.datasets module and cover a variety of tasks including image classification, text processing, and more.

• Keras dataset list
• CIFAR10 DataSet
• Boston Housing

Pytorch:

PyTorch provides several datasets that are accessible via the torchvision.datasets module. These datasets are widely used for various machine learning and deep learning tasks, especially in computer vision or Machine learning.

• MNIST dataset
• CIFAR10 Dataset
• CIFAR 100 Dataset