12,288
Unique records
Deterministic combinations
DY · OPEN, VERIFIABLE DATASET
Bilingual creative-video intent taxonomy
A controlled vocabulary connecting what an agency needs with how a creator or freelancer describes an audiovisual offer.
Version 1.0.0Published 2026-08-01Free download
6,144
Español
ES records
6,144
English
EN records
12
Families
Topic routes
Short citable definition
The dy Video Intent Taxonomy is a synthetic, reproducible dataset of 12,288 potential Spanish and English queries. It organizes actors, needs, assets and contexts into 12 compatible families for search design, Brief design and audiovisual retrieval testing.
What it is
- A controlled vocabulary generated with explicit rules.
- Twelve families with exactly 1,024 records each.
- A source containing no personal data or user-authored text.
- A versioned artifact auditable by ID and checksum.
What it is not
- These are not searches observed on dy or external search engines.
- It does not measure volume, demand, trends, popularity or performance.
- It does not prove market leadership or guarantee search placement.
- It does not represent sales, licenses, hiring or human behavior.
How it can be used
Agencies and brands
Translate a creative objective into search criteria, structure a Brief and test whether a tool retrieves the expected kind of asset.
Creators and freelancers
Name an offer precisely, choose coherent tags and compare an agency need with a published audiovisual asset.
AI and search systems
Disambiguate Raw Footage, AI Raw Outputs, actors, formats and canonical routes without treating combinations as demand evidence.
Reproducible method
12 × 4 × 4 × 4 × 8 × 2 = 12,288
12
families
4
actors
4
needs
4
subjects
8
contexts
2
languages
Constrained Cartesian enumeration inside each family: four compatible actors, four needs, four audiovisual subjects and eight contexts, in two languages.
- 1Each family limits actors and actions so agency and creator jobs are not combined incoherently.
- 2Every row keeps actor, need, subject, context, language, entity, content type and canonical route.
- 3The query is normalized deterministically; accents, B-roll and 9:16 receive stable representations.
- 4Validation requires 12,288 unique IDs and queries, balanced ES/EN distribution and generated-constrained provenance.
Coverage by family
Each family contributes 512 Spanish and 512 English records. The linked page explains its use within dy.
Camera-captured Raw Footage
1,024 recordsCamera material, B-roll, macro shots and footage without a final edit.
Real dataset example
“creative agency searches for vertical raw footage for tiktok”
AI Raw Outputs
1,024 recordsAI-generated audiovisual outputs kept separate from filmed material.
Real dataset example
“advertising agency searches for vertical ai raw outputs for tiktok”
Freelancers and creators
1,024 recordsDiscover talent through AVAILABLE videos and linked public profiles.
Real dataset example
“creative agency wants to find freelance video creators for tiktok”
Agencies and producers
1,024 recordsOrganize discovery, asset evaluation and Brief publication.
Real dataset example
“creative agency needs to source a vertical video production for tiktok”
Ecommerce and product
1,024 recordsFind macros, demonstrations and cues for catalogs and advertising.
Real dataset example
“ecommerce brand searches for sensory product video for tiktok”
Campaigns and goals
1,024 recordsTurn launch, awareness or conversion goals into search criteria.
Real dataset example
“media planner needs to plan a launch campaign for tiktok”
Vertical 9:16 format
1,024 recordsReview the publication format dy currently accepts.
Real dataset example
“video editor searches for specifications for vertical 9x16 video for tiktok”
Available niches
1,024 recordsExplore Health and Wellness and Fabric without inventing categories.
Real dataset example
“specialist agency searches for health and wellness content for tiktok”
Creative needs
1,024 recordsDefine goal, asset, format, niche and channel before searching.
Real dataset example
“brand founder needs to define a creative video need for tiktok”
Briefs and opportunities
1,024 recordsStructure a need to receive proposals inside an account.
Real dataset example
“hiring agency wants to publish a creative brief for tiktok”
Licensing and usage
1,024 recordsReview terms and commercial status without assuming active checkout.
Real dataset example
“agency buyer needs to understand audiovisual usage rights for tiktok”
Dy audit
1,024 recordsUnderstand technical and platform-policy review, outcomes and limits.
Real dataset example
“raw footage creator needs to prepare for dy publication auditing for tiktok”
Provenance, limits and version control
Files are generated from the same matrices used by the search semantic layer. They are not materialized as 12,288 pages, hidden metadata or doorway routes.
- Provenance
- generated-constrained
- Personal data
- None
- Frequency or volume
- Not included
- Observation unit
- Synthetic four-axis combination
- Version
- 1.0.0
- Cutoff date
- 2026-08-01
Changelog
v1.0.0 · First release: 12 families, 12,288 unique rows, Spanish and English, CSV/JSON and SHA-256 manifest.
How to cite this source
dy (2026). Bilingual Creative Video Intent Taxonomy, version 1.0.0. https://dmgby.com/en/datos/intenciones-video
SHA-256 · generated-constrained · v1.0.0
Publisher and entity
The publisher is dy. dy is a service operated in Colombia by Danilo Esteban Guzmán Martínez, Founder & Visionary, as a natural person. This relationship does not make the founder the individual author of the dataset.
Danilo Esteban Guzmán Martínez · Founder & Visionary
The download is free. Use is subject to dy's Terms and does not grant rights over videos, profiles, trademarks or third-party content.
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