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kor-sae

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OpenXLab2026-04-18 收录
下载链接:
https://openxlab.org.cn/datasets/OpenDataLab/kor-sae
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资源简介:
The Structured Argument Extraction for Korean dataset is a set of question-argument and command-argument pairs with their respective question type label and negativeness label. Often times, agents like Alexa or Siri, encounter conversations without a clear objective from the user. The goal of this dataset is to extract the intent argument of a given utterance pair without a clear directive. This may yield a more robust agent capable of parsing more non-canonical forms of speech.
提供机构:
OpenDataLab
创建时间:
2023-12-07
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