Dataset · Hugging Face

wangjinh/FRED-SemBench

Name: FRED-SemBench
Creator: wangjinh
License: other
Keywords: task_categories:question-answering, language:en, license:other, size_categories:n<1K, format:json, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, finance, macroeconomics, benchmark

FRED-SemBench FRED-SemBench is a 200-question benchmark candidate for evaluating whether LLM agents retrieve macroeconomic answers with the intended concept, series, transformation, unit, observation period, and data-vintage semantics. This dataset accompanies the FinNLP 2026 paper “FRED-SemBench: Evaluating Semantic Reliability in LLM Access to Macroeconomic Data” by Wilson Wang, Chandler Han, and Peter Zhang (Kairos-AI). Status and scope 50 independently… See the full description on the dataset page: https://huggingface.co/datasets/wangjinh/FRED-SemBench.

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Author / organization	wangjinh
License (as declared)	other
Downloads	252 (as reported by Hugging Face)
Likes	1
Created	3 September 2026
Last updated at source	3 September 2026

financemacroeconomicsbenchmarkagent-evaluationsemantic-reliability

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