Dataset · Hugging Face

alabamamikertr/beam-dd-dataroom

Name: beam-dd-dataroom
Creator: alabamamikertr
License: mit
Keywords: task_categories:question-answering, language:en, license:mit, size_categories:1K<n<10K, modality:text, library:datasets, library:harbor, library:mlcroissant, region:us, agents, rl-environment, harbor, finance, due-diligence, synthetic

Dataset card: Beam-DD Summary This is a Harbor environment of 11,400 single-question due-diligence tasks over synthetic company data rooms. The agent has a shell and must write /app/answer.json (value, status, citations). Scoring is deterministic: 0.7 for correctness and 0.3 for citations, with abstention required on trap questions. The baseline model is Reflection's Beam-1.0-501B-A23B. Setup and run commands are in README.md. Curator: Michael Stricklen (HF… See the full description on the dataset page: https://huggingface.co/datasets/alabamamikertr/beam-dd-dataroom.

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Author / organization	alabamamikertr
License (as declared)	mit
Downloads	0 (as reported by Hugging Face)
Likes	0
Created	23 October 2026
Last updated at source	23 October 2026

agentsrl-environmentharborfinancedue-diligencesynthetictool-use

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