Data · dataset · 2026
UNGA‑80 Simultaneous Interpreting Dataset: Acoustic‑Prosodic & Linguistic Metrics for the Dual‑Modality Analytical Framework (DMAF)
Listed in ScienceDB
This dataset provides reproducible supporting materials for the exploratory correlational study on UN English‑Chinese simultaneous interpreting published in Poznań Studies in Contemporary Linguistics.
Description
The corpus is built upon plenary speeches from the 80th session of the United Nations General Assembly and outputs from three professional interpreters. Eight standardized folders are included: source‑speech transcripts, aligned source‑simultaneous‑interpreting text pairs, Praat TextGrid acoustic annotation files, interpreter transcripts with human‑evaluated quality scores, extracted acoustic‑prosodic and linguistic feature tables, hypothesis‑driven statistical files, annotation standard‑operating‑procedure manuals, and raw Excel sources for all manuscript figures.
Inter‑annotator agreement reaches κ=0.89 under unified coding schemes. Original UN audio recordings are not deposited here due to copyright restrictions; only transcribed, annotated and derived tabular data are provided for replication. Dataset structure: 01_SL‑SpeechTranscription: source‑language speech transcripts 02_SL‑SI‑Aligned‑Audio&Text: aligned source‑SI text segments 03_SL‑Speech‑PraatAnnotated: Praat TextGrid annotation files 04_SI‑TextTranscription&QualityScore: SI transcripts and manual quality scores 05_SL‑Features: acoustic‑prosodic and linguistic metric tables 06_StatisticalAnalysis‑FilesHypothesis: mixed‑linear‑model input tables per research hypothesis 07_Protocols‑SOP: annotation guidelines and calculation protocols 08‑Figures: raw spreadsheet sources for manuscript figures
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.45604 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Psychology & Behavioral Science · Social Science
- Inferred from text
- Audio 75% · Language studies 74% · Tabular 75% · Text 75%
Provenance · 1 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.45604 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4703 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:audio | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:tabular | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:text | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |