Dataset · Hugging Face

neharanii/sec-rag-bench

Name: sec-rag-bench
Creator: neharanii
License: mit
Keywords: task_categories:question-answering, task_categories:text-retrieval, language:en, license:mit, size_categories:n<1K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, rag, retrieval-augmented-generation, sec-filings

SEC-RAG-Bench A hand-written benchmark of 100 questions for evaluating RAG (Retrieval Augmented Generation) systems over SEC 10-K filings. Every question is anchored to a specific passage in a real filing, making it suitable for measuring Recall@K, Precision@K, Citation Accuracy, and refusal behavior. Dataset summary 100 questions across 6 categories 8 companies: Apple, Google, Microsoft, Nvidia, Tesla, Costco, Netflix, Amazon Fiscal years 2022-2024 Ground truth… See the full description on the dataset page: https://huggingface.co/datasets/neharanii/sec-rag-bench.

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Author / organization	neharanii
License (as declared)	mit
Downloads	0 (as reported by Hugging Face)
Likes	0
Created	16 October 2026
Last updated at source	16 October 2026

ragretrieval-augmented-generationsec-filingsfinancial-qabenchmarkevaluation

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