# AI training data catalog URL: https://aidataforsale.com/data Publisher: AI Data For Sale (Marketing Signals Ltd) Updated: 2026-11-10 The 24 types of data AI teams license most. We source every type on request from vetted holders; this is not an inventory. ## Language and text - [Conversational data](https://aidataforsale.com/data/conversational-data): Conversational data is multi-turn dialogue between people, or between people and software, recorded with enough context to show how a conversation unfolds. - [Email archives](https://aidataforsale.com/data/email-archives): Business email archives show how real work gets done: requests, negotiations, approvals and follow-ups across long threads. - [Workplace chat data](https://aidataforsale.com/data/workplace-chat-data): Workplace chat from Slack or Microsoft Teams shows fast, informal coordination that email does not capture. - [Books and long-form text](https://aidataforsale.com/data/books-and-long-form-text): Books and long-form text teach models to follow arguments and structure across thousands of words, which short web text cannot do. - [Multilingual and low-resource language data](https://aidataforsale.com/data/multilingual-and-low-resource-language-data): Low-resource languages have little high-quality text online, so licensed data in them is scarce and in demand. - [Business documents and forms](https://aidataforsale.com/data/documents-and-forms): Document AI models learn to read layouts, tables, signatures and fields from real business documents. ## Speech and audio - [Speech and audio data](https://aidataforsale.com/data/speech-and-audio-data): Speech datasets train speech recognition, voice assistants and audio language models, and buyers value accent, language and acoustic variety. - [Call center recordings](https://aidataforsale.com/data/call-center-recordings): Call center recordings pair real customer problems with how skilled agents resolve them, which voice agents need to learn. ## Vision and video - [Video training data](https://aidataforsale.com/data/video-training-data): Video model builders license footage they cannot scrape: unpublished, high-resolution and with clear rights. - [Image datasets](https://aidataforsale.com/data/image-datasets): Image datasets train image generation, vision and multimodal models, and captions describing each image raise their value. - [Egocentric and robotics video](https://aidataforsale.com/data/egocentric-and-robotics-video): Robotics and physical AI teams need first-person video of people doing real tasks with their hands. - [Medical imaging data](https://aidataforsale.com/data/medical-imaging-data): Medical imaging datasets train diagnostic and triage models, and labels from qualified clinicians are what make them valuable. - [3D and CAD data](https://aidataforsale.com/data/3d-and-cad-data): 3D and CAD data trains generative 3D, engineering design and spatial AI models, and there is very little of it online in usable form. ## Code and agents - [Source code datasets](https://aidataforsale.com/data/source-code-datasets): Private codebases with real commit history, tests and reviews are worth more to coding model builders than public code, which most labs already have. - [Agent trajectory data](https://aidataforsale.com/data/agent-trajectory-data): Agent trajectories are step-by-step recordings of a person completing a task in software: every click, keystroke, screen and result. - [Software issue and ticket history](https://aidataforsale.com/data/software-issue-history): Issue trackers record how teams plan, triage and fix work, which coding and project agents need to learn. ## Human feedback and evaluation - [RLHF and preference data](https://aidataforsale.com/data/rlhf-preference-data): Preference data records which of two or more model responses a person judged better, and why. - [Evaluation datasets](https://aidataforsale.com/data/evaluation-datasets): An evaluation dataset tests a model on tasks it has never seen, with answers checked by qualified people. - [Expert-annotated data](https://aidataforsale.com/data/expert-annotated-data): Expert-annotated data is labeled or written by people with verified professional skill, such as clinicians, lawyers, engineers or accountants. ## Domain and enterprise - [Customer support tickets](https://aidataforsale.com/data/customer-support-tickets): Support tickets pair a real customer problem with the steps that solved it, which support agents and AI assistants learn from. - [CRM and sales data](https://aidataforsale.com/data/crm-and-sales-data): CRM data shows how deals progress: activities, emails, calls, stage changes and outcomes. - [Financial documents and records](https://aidataforsale.com/data/financial-documents-data): Finance AI needs real statements, ledgers, reconciliations and filings to learn accounting judgment. - [Legal documents data](https://aidataforsale.com/data/legal-documents-data): Legal AI models learn drafting and analysis from real contracts, briefs, memos and templates. - [Scientific and research data](https://aidataforsale.com/data/scientific-and-research-data): Scientific AI needs real experimental data, including failed experiments that never get published.