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Datasets:
SLLMCommunity
/
SQuTR

Tasks:
Text Retrieval
Automatic Speech Recognition
Languages:
English
Chinese
Size:
10K<n<100K
ArXiv:
Tags:
spoken-query-retrieval
information-retrieval
audio-text-retrieval
mteb
c-mteb
robustness
License:
Dataset card Files
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  # SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval
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  [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/ttoyekk1a/SQuTR-Spoken-Query-to-Text-Retrieval)
 
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  **SQuTR** (Spoken Query-to-Text Retrieval) is a large-scale bilingual benchmark designed to evaluate the robustness of information retrieval systems under realistic acoustic perturbations.
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  # SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval
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  [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/ttoyekk1a/SQuTR-Spoken-Query-to-Text-Retrieval)
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+ [![Paper](https://img.shields.io/badge/Paper-arXiv-red)](https://arxiv.org/abs/2602.12783)
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  **SQuTR** (Spoken Query-to-Text Retrieval) is a large-scale bilingual benchmark designed to evaluate the robustness of information retrieval systems under realistic acoustic perturbations.
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