Dataset · Hugging Face

vCache/SemBenchmarkClassification

Name: SemBenchmarkClassification
Creator: vCache
License: apache-2.0
Keywords: license:apache-2.0, size_categories:10K<n<100K, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us

The SemCacheClassification benchmark is designed to evaluate semantic caching in structured classification settings, such as those found in modern database environments. Several database systems—including Databricks, Snowflake, and AWS—have introduced LLM-based extensions to SQL via User-Defined Functions (UDFs), enabling capabilities beyond traditional SQL semantics. However, LLM-based UDFs are inherently non-deterministic, execute row-by-row, and pose integration challenges for… See the full description on the dataset page: https://huggingface.co/datasets/vCache/SemBenchmarkClassification.

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Author / organization	vCache
License (as declared)	apache-2.0
Downloads	710 (as reported by Hugging Face)
Likes	1
Created	16 May 2025
Last updated at source	28 July 2025

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