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    <responseDate>2026-10-13T21:49:17Z</responseDate>
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    <identifier>10.57760/sciencedb.37360</identifier>
    <datestamp>2026-02-12T12:42:29Z</datestamp>
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  <dc:date>2026-02-12</dc:date>
  <dc:title>Dual-Modality Dataset of English-Chinese Simultaneous Interpreting at the 80th UN Anniversary High-Level Plenary: Speech Features and Text Quality</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.37360</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is derived from the authentic English-Chinese simultaneous interpreting (SI) corpus of the High-level Plenary Meeting Commemorating the 80th Anniversary of the United Nations. It aims to address the unimodal bias in existing diplomatic SI assessment by providing integrated dual-modality data of &amp;quot;speech features + text quality&amp;quot;.The dataset includes 46 minutes and 30 seconds of valid audio (44.1kHz/16bit, .wav format) and aligned text, segmented into 90 analysis fragments from three professional UN interpreters. Speech data was preprocessed via Audacity (SNR &amp;ge;40dB) and annotated using Praat, covering 6 core speech features (e.g., disfluency rate, intonation alignment, breath control) with inter-annotator consistency &amp;ge;95%. Text data was transcribed (Chinese accuracy &amp;ge;95%) and evaluated by expert raters across 5 quality dimensions (information integrity, linguistic accuracy, cultural-affective equivalence, pragmatic appropriateness, textual fluency), with inter-annotator reliability Cohen&amp;rsquo;s &amp;kappa;=0.89.Supplementary files include source language feature annotations (terminology density, syntactic complexity), interpreter strategy classifications (efficiency-, accuracy-, stability-oriented), and statistical analysis protocols. This dataset supports research on speech-text interaction mechanisms, diplomatic SI quality assessment, and interpreter training, with high ecological and construct validity (KMO=0.823).</dc:description>
  <dc:subject>simultaneous interpreting; diplomatic interpreting; dual-modality dataset; speech features; text quality</dc:subject>
  <dc:creator>李胡琳</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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