Guides
How to evaluate
agent training data.
Practical, vendor-neutral guides for teams buying data for computer-use, physical AI, and voice AI: what to look for, how to compare options, and how to validate a sample before you commit.
Buyer guide
Computer-use agent datasets
What GUI agent training data actually needs: data modalities, task and environment coverage, trajectory structure, annotation and QA, and licensing and provenance.
ReadBuyer guide
Commercial vs open GUI-agent data
A source-backed framework for deciding when open browser-agent trajectories fit and when a build-to-spec commercial program adds value.
ReadTool
Dataset evaluation checklist & schema inspector
A buyer checklist plus an in-browser tool that inspects a trajectory sample against a reference computer-use schema. Nothing you paste is uploaded.
ReadPhysical AI guide
Egocentric video for training data
Evaluate egocentric video for physical AI by task coverage, hand-object labels, state changes, quality, consent, and privacy controls for dataset review.
ReadPhysical AI guide
Human demonstration vs teleoperation
Human-manipulation recordings vs robot-teleoperation episodes for physical AI: what each captures, embodiment alignment, labels, and when to use which.
ReadPhysical AI guide
Physical-AI data capture and annotation
How physical-AI data is captured and annotated: multimodal sensor sync, calibration and alignment QA, label taxonomies, outcomes, and privacy handling.
ReadVoice AI guide
Commercial speech datasets
Evaluate commercial speech datasets by licensing, provenance, recording conditions, speaker distribution, transcripts, diarization, and quality metrics.
ReadVoice AI guide
Multilingual and code-switching speech data
Why multilingual and code-switching speech data matters: the language-equity gap, silent code-switching failures, and how to build coverage that holds up.
ReadVoice AI guide
Turn-taking, overlap, interruption, and expressive speech
Turn-taking, overlap, interruption, and expressive speech data for voice agents and TTS: the conversational signal clean read-speech corpora miss.
Read