Add dataset card

README.md

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+---
+license: other
+task_categories:
+- text-retrieval
+language:
+- en
+- zh
+tags:
+- audio-text-retrieval
+- spoken-query-retrieval
+- mteb
+pretty_name: SQuTR for MTEB
+---
+
+# SQuTR for MTEB
+
+MTEB-ready packaging of [SQuTR](https://huggingface.co/datasets/SLLMCommunity/SQuTR), a bilingual spoken-query-to-text retrieval benchmark.
+
+It contains FiQA, HotpotQA, NQ, MedicalRetrieval, DuRetrieval, and T2Retrieval. Each collection includes clean, 20 dB, 10 dB, and 0 dB audio queries.
+
+Query transcripts are kept for provenance but are not exposed to evaluated MTEB models.
+
+SQuTR's generated data is CC BY-SA 4.0. The packaged corpora and qrels keep their original dataset licenses, including NQ's CC BY-NC-SA 3.0 terms. See the [source dataset](https://huggingface.co/datasets/SLLMCommunity/SQuTR) for details.
+
+Source revision: `2f1b041e2e98e0d28ed68fbcf22126ef247eb719`
+
+## Citation
+
+```bibtex
+@misc{li2026squtrrobustnessbenchmarkspoken,
+  author = {Yuejie Li and Ke Yang and Yueying Hua and Berlin Chen and Jianhao Nie and Yueping He and Caixin Kang},
+  title = {SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise},
+  year = {2026},
+  eprint = {2602.12783},
+  archivePrefix = {arXiv},
+  primaryClass = {cs.IR},
+  url = {https://arxiv.org/abs/2602.12783}
+}
+```