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Sand and Fire Dataset Collection for ULDA

Unified Language-driven Zero-shot Domain Adaptation

GitHub: https://github.com/Yangsenqiao/ULDA/

Homepage: https://senqiaoyang.com/project/ulda/

Paper: https://arxiv.org/pdf/2404.07155

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Size of the auto-converted Parquet files:
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Number of rows:
153

Paper for Senqiao/Sand-Fire-ULDA