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Text · dataset · 2026

SecondState FAB — Finance Agents Benchmark

Listed in Hugging Face Datasets

FAB — Finance Agents Benchmark FAB is an open-source project for benchmarking LLM agents' ability to perform financial due diligence in a synthetic company data room.

Description

FAB consists of a dataset of tasks containing agent instructions, documents and rubrics, and an execution harness for running and evaluating agents. This repository contains the dataset; the harness is available on GitHub.

Dataset 50 tasks · 160 documents · 231 grading criteria · One shared data room… See the full description on the dataset page: huggingface.co/datasets/secondstate/finance-agents-benchmark.

Links

Topics

Stated by source
document · question answering · text
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetssecondstate/finance-agents-benchmark10 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:documentsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:question-answeringsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
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