CUSTOMMULTIMODALPAIRED DATA

Multimodal Paired Capture Sets

Paired data collection format for vision-language models, audio-visual learning, screen-and-voice workflows, multimodal instruction following, and cross-modal evaluation.

Multimodal Paired Capture Sets are built for teams that need files from multiple modalities linked through a shared task, timestamp, contributor session, or model objective. The format is designed for use cases where isolated audio, video, screen recordings, or text are not enough.

Each collection is structured around a modality pair or approved modality combination, such as screen plus voice narration, video plus audio, first-person video plus transcript, or image-derived capture plus text description.

  • Structured collection

    Multimodal Paired Capture Sets are scoped around a model objective and a defined modality relationship.

  • Metadata depth

    The format supports file-level pairing, segment-level pairing, timestamp-level alignment, transcript-video alignment,…

  • Delivery-ready package

    Includes modality completeness, pairing consistency, alignment reviews, plus dataset manifest, CSV catalog, consent status…

Request sample access

Share your target modalities, pairing logic, alignment requirements, annotation needs, and evaluation goals. We’ll reply with a technical scope for the collection.

Key highlights

  • Paired file structure connecting two or more modalities through shared session IDs or task IDs.
  • Cross-modal manifest records linking audio, video, screen, transcript, annotation, and metadata paths.
  • Support for screen plus narration, video plus audio, POV video plus transcript, and buyer-scoped modality combinations.

Dataset contents

Component files

Paired audio files where scoped · Paired video files where scoped · Screen recordings where scoped · Transcript files where scoped

Pairing and transcript records

Timestamp alignment fields where scoped · Text descriptions where scoped · Shared session IDs · Shared task IDs

Cross-modal metadata

Cross-modal pairing metadata · Modality-specific metadata

Technical specifications

Use cases

  • Vision-language model evaluation
  • Audio-visual learning
  • Multimodal instruction following
  • Screen-and-voice workflow analysis
  • Video-transcript alignment
  • Cross-modal retrieval evaluation
  • Embodied AI data pairing
  • Multimodal benchmark creation

Dataset workflow

1Collection

Multimodal Paired Capture Sets are scoped around a model objective and a defined modality relationship. Each task specifies what modalities are captured, how files are paired, what alignment is required, and how the delivery package should be organized.

2Review

Modality completeness review · Pairing consistency review · Alignment review · Metadata review · Annotation consistency review · Consent status review · Delivery approval

3Delivery

Component files by modality · Pairing metadata CSV · Cross-modal manifest JSON · Transcript files where scoped · Annotation files where scoped · CSV file catalog · QA summary · Consent status metadata · Delivery notes

Quality assurance

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Fully scoped custom data collection with buyer-defined modality, schema, metadata fields, annotation layers, QA criteria, manifest structure, delivery package, and collection rules.

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