Advanced Datasets for AI & ML Projects

The world is overflowing with complex, messy, and fascinating data. To truly level up your skills and build a portfolio that gets you hired, you need to roll up your sleeves and tackle the kind of data that powers real-world AI. So, if you are looking for advanced datasets for building AI & ML projects, this article is for you. In this article, I’ll take you through a list of 20 advanced datasets you should try to build your next AI & ML projects.

20 Advanced Datasets for AI & ML Projects

Here’s a list of 20 advanced datasets for AI & ML projects that will push your limits, teach you invaluable skills, and help you build something awe-inspiring.

Computer Vision: Beyond Simple Photos

Modern computer vision is about more than just identifying cats in pictures. It’s about understanding complex 3D scenes, interpreting motion in videos, and even reading medical scans. Here are some datasets you should try:

  1. nuScenes
  2. LAION-5B
  3. Kinetics-700
  4. Waymo Open Dataset
  5. CheXpert

Natural Language Processing

Words are more than just text; they’re knowledge, intent, and context. These datasets will take you from simple text classification to the cutting edge of language understanding:

  1. The Pile
  2. MMLU
  3. BigPatent
  4. SQuAD 2.0
  5. WMT Datasets

Tabular & Time-Series

Don’t let the hype around LLMs and images fool you. The vast majority of business problems are solved with tabular and time-series data. Mastering this domain is a ticket to immense value creation. Here are some datasets:

  1. MIMIC-IV
  2. IEEE-CIS Fraud Detection
  3. GStore Revenue Prediction
  4. Foursquare – Location Matching

Audio & Speech

From understanding commands to identifying sounds in our environment, audio AI is becoming a core part of how we interact with technology. Here are some datasets:

  1. Common Voice
  2. AudioSet
  3. LibriTTS

Multimodal AI

The future of AI is multimodal, referring to systems that can understand and reason about information from multiple sources simultaneously, just as humans do. Here are some datasets:

  1. VQA v2
  2. MM-IMDb
  3. Epic-Kitchens-100

Final Words

Don’t try to tackle all of these at once. Pick one. Pick the one that genuinely excites you. Your journey from learner to practitioner starts right here. Read the dataset’s paper, download a small sample, and write your first line of code. I hope you liked this article on 20 advanced datasets you should try to build your next AI & ML projects. Feel free to ask valuable questions in the comments section below. You can follow me on Instagram for many more resources.

Aman Kharwal
Aman Kharwal

AI/ML Engineer | Published Author. My aim is to decode data science for the real world in the most simple words.

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