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Text · dataset · 2023

RAG Instruct Benchmarking Test Dataset

Listed in Hugging Face Datasets

Dataset Card for RAG-Instruct-Benchmark-Tester Dataset

Description

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 segmented… See the full description on the dataset page: huggingface.co/datasets/llmware/rag_instruct_benchmark_tester.

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Computer Science & AI
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsllmware/rag_instruct_benchmark_tester15 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0