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AI training data

AI training data: what it is and where the best of it comes from.

Quick answer

AI training data is the information used to teach a model patterns: text, conversations, images, audio, code and records of actions. Evaluation data is used to test models. Proprietary real-world data from businesses is increasingly sought because it captures specialized knowledge not available publicly.

  1. 01Your work records
  2. 02Personal details removed
  3. 03You approve the release
  4. 04Licensed to AI developers
How it works with SourceX: Your work records → Personal details removed → You approve the release → Licensed to AI developers.Illustrative

Types of training data#

Types of training data
TypeExamplesTypical use
TextDocuments, emails, articlesLanguage models
ConversationalSupport chats, call transcriptsAssistants and agents
CodeRepositories, reviewsCoding models
AudioCall recordingsSpeech and voice
Images and videoInspection photosVision models
WorkflowProcess logs, screen activityAI agents

Training vs. evaluation#

Training data teaches a model; evaluation data measures it. Both can be licensed, and evaluation sets often require smaller, carefully curated samples.

Human vs. synthetic data#

Synthetic data can fill gaps, but real human-generated data provides ground truth and authentic edge cases.

Related resources

Datasets you can request

Specs from the SourceX catalog. Each is sourced to your scope from qualified businesses; supply is not guaranteed.

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Evaluating this data for procurement?

Diligence packets are prepared per dataset. Rights, privacy processing and quality differ between datasets.

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