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    <identifier>10.57760/sciencedb.20985</identifier>
    <datestamp>2025-02-18T17:17:00Z</datestamp>
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  <dc:date>2025-02-18</dc:date>
  <dc:title>Applied Psychology DataSet: Online Anonymous Conversation with LLM</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.20985</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset comprises two components: Test1 and Test2.Test1&amp;nbsp;contains 194 dialogue text records documenting six-turn conversational exchanges between human undergraduate participants and a Large Language Model (LLM). The human participants' speech was transcribed using the OpenAI Whisper-1 model, while the &amp;quot;listener&amp;quot; responses were generated by ChatGPT-4o (version 2024-08-06).Test2&amp;nbsp;consists of three types of experimental materials:16 dialogue text records16 sets of audio dialogue recordings64 video clipsThe &amp;quot;speaker&amp;quot; audio originates from real human undergraduate participants, whereas the &amp;quot;listener&amp;quot; vocal responses were synthesized using CosyVoice TTS. These audio materials underwent post-processing and subtitle integration before being compiled into video format for experimental use.</dc:description>
  <dc:subject>LLM; Anonymous Conversation; Counseling; Applied Psychology</dc:subject>
  <dc:creator>Chen Xiongqun</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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