Data · dataset · 2026
Self-Authored Multilingual Subtitle Alignment Samples for AI Video Translation
Listed in Teesside University Research Data Repository
This dataset contains a rights-cleared collection of self-authored multilingual subtitle alignment samples for evaluating video subtitle translation workflows.
Description
The release includes 180 short scripted clips represented as subtitle-like segments, 540 timestamped source segments, and 1,080 aligned translation rows across English, Spanish, and Chinese (Simplified). Supporting documentation includes a clip-level manifest, a machine-readable schema, a field-level data dictionary, methodology notes, a short abstract, and full SRT subtitle files for all clips.
The package was designed to support research and workflow evaluation for multilingual video localization, subtitle alignment, translation quality review, and subtitle-aware ingestion pipelines. The material is synthetic in the sense that all source text was authored specifically for this release; however, the record structure reflects common subtitle segmentation patterns, including clip identifiers, segment identifiers, timestamps, language pairs, scenario labels, and aligned text fields.
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Only derived text annotations and subtitle files are distributed. No third-party videos, audio tracks, platform exports, scraped captions, or copyrighted transcripts are included. No personal data or sensitive information is present in the release.
All content is distributed under CC BY 4.0. The package is intended for repository deposit, reproducible documentation, and evaluation of multilingual subtitle processing workflows. It is not intended as a representation of the full distribution of public web video subtitles.
Links
Where it is published
- DOI doi.org/10.17632/spzyr66zn3.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Artificial intelligence · Computer Science & AI · Earth & Environmental Science
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/spzyr66zn3.1 | 15 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:audio | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:text | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:video | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |