AI / ML dataset delivery
YouTube video dataset delivery for AI training pipelines
Building high-quality video datasets for training, fine-tuning, or multimodal research requires clean, structured, reproducible delivery — not a patchwork of scripts. StormKeep delivers video files, transcripts (where available), metadata, hashes, and JSONL manifests directly into your S3, GCS, or Azure destination, scoped to sources your team defines.
StormKeep is a delivery service, not a content marketplace. Customers are responsible for ensuring they have the right to use requested sources for their intended purpose.
Dataset packages
Source lists you approve
Manifests and schema
Cloud handoff
dataset_delivery_2026-06-15.jsonl
{"video_id":"video_001","source":"channel_alpha","file":"videos/video_001.mp4","metadata":"metadata/video_001.json","transcript":"transcripts/video_001.vtt","status":"delivered"}
{"video_id":"video_002","source":"channel_alpha","file":"videos/video_002.mp4","metadata":"metadata/video_002.json","transcript":"transcripts/video_002.vtt","status":"delivered"}
{"video_id":"video_003","source":"channel_beta","file":"videos/video_003.mp4","metadata":"metadata/video_003.json","transcript":"transcripts/video_003.vtt","status":"delivered"}JSONL / CSV
S3 / GCS / Azure
Structured JSON
Where available
Workflow
Source scope → package → metadata → manifest → cloud handoff
Preserve the dataset meaning, but make the delivery path visible and easy to review.
Source scope
Approved channels, playlists, or curated URL lists define the package.
Collection package
Video files and associated assets are grouped into a consistent delivery unit.
Metadata outputs
Structured fields capture useful context for downstream dataset preparation.
Manifest and schema
A machine-readable index supports ingestion, versioning, and review.
Cloud handoff
Deliver into customer-controlled S3, GCS, Azure Blob, or SFTP destinations.
Dataset package
What goes into the dataset
Keep the package visible so the team can understand what ships, what is optional, and where availability depends on source scope.
Deliverables
Readable summary| Item | Format | Why it matters |
|---|---|---|
| Video files | MP4 | Base asset for training, evaluation, or multimodal research. |
| Metadata | JSON | Useful for filtering, dataset curation, and provenance context. |
| Transcripts / captions | VTT / TXT | Available where source material supports it and project scope includes it. |
| Hashes + timestamps | Per file / UTC | Helps with integrity checks and dataset version tracking. |
| Manifest | JSONL / CSV | A simple index for downstream ingestion and reporting. |
dataset_delivery_2026-06-15.jsonl
A compact preview of how the package is indexed before it lands in the destination bucket.
{"video_id":"video_001","file":"videos/video_001.mp4","metadata":"metadata/video_001.json","transcript":"transcripts/video_001.vtt","sha256":"...","status":"delivered"}
{"video_id":"video_002","file":"videos/video_002.mp4","metadata":"metadata/video_002.json","transcript":"transcripts/video_002.vtt","sha256":"...","status":"delivered"}
{"video_id":"video_003","file":"videos/video_003.mp4","metadata":"metadata/video_003.json","transcript":"transcripts/video_003.vtt","sha256":"...","status":"delivered"}- • Dataset package is scoped to approved sources.
- • Outputs are structured for review and downstream ingestion.
- • Transcript and caption outputs are included where available.
Fit / limitations
Use it when the team needs a managed dataset package
This page should read as procurement-grade and credible, including the boundaries that matter in real programs.
AI / ML data teams
Use when you want packaged video data, structured metadata, and a delivery workflow you can review.
Scoped source lists
The cleanest projects start with approved inputs and a clear output contract for the dataset package.
Availability depends on scope
Transcripts, captions, or other outputs are included where available and when the project scope calls for them.
FAQ
Frequently asked questions
Do you provide pre-built or licensed datasets?▾
No. StormKeep delivers from customer-defined sources into customer-controlled destinations.
Can you refresh datasets on a schedule?▾
Yes. Recurring delivery jobs can be configured for defined sources and cadence.
How do manifests help ingestion?▾
JSONL manifests provide a consistent index for dataset registries and downstream processing.
Can we omit video files and deliver transcripts only?▾
Delivery parameters are configurable. Contact the team to discuss your output requirements.
How does this compare to DIY scripts?▾
DIY approaches require ongoing maintenance and produce inconsistent output formats. StormKeep is managed delivery with a defined output contract and support relationship.
Related pages
Nearby pages in the same design system
Use these pages to compare delivery modes, output types, and operating models.
YouTube videos to S3
Managed delivery into customer-controlled cloud storage with outputs, manifests, and handoff framing.
YouTube Transcript API
Structured transcript and caption delivery when the project scope calls for that output.
YouTube Channel Scraper
Managed channel and playlist delivery for teams that need a defined source list and output package.
YouTube Data API alternative
A different operating model for teams that need managed delivery instead of self-operated tooling.
AI video data
The broader AI/ML workflow page for dataset preparation, delivery, and cloud handoff.
Pricing
Pilot and production delivery plans for teams scoping a managed program.
Build cleaner YouTube video datasets without operating the pipeline
StormKeep delivers structured artifacts and manifests into your cloud for training and evaluation workflows.