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llmware/rag_instruct_benchmark_tester

Dataset Card for RAG-Instruct-Benchmark-Tester Dataset Summary This is an updated benchmarking test dataset for "retrieval augmented generation" (RAG) use cases in the enterprise, especially for financial services, and legal. This test dataset includes 200 questions with context passages pulled from common 'retrieval scenarios', e.g., financial news, earnings releases, contracts, invoices, technical articles, general news and short texts. The questions are… See the full description on the dataset page: https://huggingface.co/datasets/llmware/rag_instruct_benchmark_tester.

Author / organizationllmware
License (as declared)apache-2.0
Downloads295 (as reported by Hugging Face)
Likes63
Created1 November 2023
Last updated at source4 November 2023
financial servicesretrieval augmented generationRAGq&a instruct
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295 now (+6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

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  • 17 Oct 2026 Description: Dataset Card for RAG-Instruct-Benchmark-Tester Dataset Summary This is an updated benchmarking test dataset for "retrieval augmented generation" (RAG) use cases in the enterprise, especially for financial services, and legal. This test data → Dataset Card for RAG-Instruct-Benchmark-Tester Dataset Summary This is an updated benchmarking test dataset for "retrieval augmented generation" (RAG) use cases in the enterprise, especially for financial services, and legal. This test data

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