Audio · Video · Image · Text / AI & Machine Learning
Mobile Computer-Use Data — Timestamped Actions & Arabic Narration
Advertised by providerLicensing rights not independently verifiedPrice on request
Overview
Mobile Computer-Use Data — Timestamped Actions & Arabic Narration is a multimodal dataset. It covers Arabic. Typical applications include speech recognition, segmentation and agents & tool use. Relevant sectors: AI & Machine Learning and Education. The listing mentions transcription, timestamps and polygons / segmentation. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Listing mentions transcription, timestamps, polygons / segmentation.
The provider (Accurate Data Annotator) provides data collection, annotation, and human evaluation services for AI and machine learning development, with access to contributors across multiple regions and languages. We work in two main ways: Custom Data Collection & Annotation Services Send us your raw video, image, audio, or text files, or share your project requirements. The provider can provide structured annotation and human-led data services based on your specifications, including temporal action segmentation, object and scene labeling, transcription, sentiment and intent tagging, and named entity recognition. Ready-Made Annotated Datasets We offer pre-built dataset samples across video, audio, text, and image formats. Datasets can be quality-reviewed and prepared for delivery based on the intended use case and requirements. Our contributor network includes data annotators and data contributors across multiple languages and regions, including native and fluent speakers. This allows us to support demographic-specific data collection when a project requires defined characteristics such as age range, gender, region, language, or dialect. Rather than relying on a fixed one-size-fits-all pipeline, we adapt collection and annotation workflows to each project's requirements, including the required data type, population, quality criteria, and review process. The attached sample demonstrates our video labeling format. A short consumer-product clip is divided into six action segments, with each segm
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Speech ML / DL Data | Customer–Agent Conv. (Single & Multi-Channel & Hard-to-Source Languages) | GDPR, CCPA Compliant | Native Speakers 180+ Co
Scope: Synthetic customer–agent interactions, available in dual-channel (per speaker) or single-channel mixes.
- Language
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- Volume
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- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
Price on request
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