Dataset
A Dataset is a structured collection of data points, features, and target values used to train, validate, and evaluate machine learning models.
Frequently Asked Questions
What are the three splits of a dataset in machine learning?▼
The training split (used to optimize weights), the validation split (used to select hyperparameters), and the test split (used to perform final accuracy checks).
What is the difference between structured and unstructured datasets?▼
Structured datasets are organized in tabular grids (like CSV files or database tables). Unstructured datasets contain raw media like text files, audio clips, or image directories, which require preprocessing.
Quick Facts
- CategoryFoundational AI
- Key ApplicationModel training pipelines, data cleaning, and benchmarking algorithms.
Coverage Trend12 Weeks
Related AI Terms
Dataset Media Coverage & Intelligence
General Intuition in talks to raise $300M at around $2B valuation
The startup trains embodied AI and world models using Medal's dataset of 2 billion videos per year from 10 million monthly active users.
Accelerating researchers and developers building multilingual AI with a new open dataset
A new repository-level dataset, published on GitHub under CC0-1.0, helps researchers and developers discover multilingual developer content across READMEs, issu
How Far Did They Go? The Persuasive Tactics of Covert LLM Agents in a Discontinued Field Experiment
This study analyzes a publicly released dataset from a discontinued field experiment on Reddit's r/ChangeMyView.