OfficeQA Pro v2 D

AI benchmark · Multimodal

Built by
Databricks
Domains
Multimodal
Tier
D why
Snapshot

Open benchmark ↗huggingface.co/datasets/databricks/officeqa-pro-v2

What is OfficeQA Pro v2?

OfficeQA Pro v2 measures model and agent performance on grounded, multi-document retrieval and numerical reasoning over two centuries of U.S. federal receipts and expenditures financial PDFs.

Who built OfficeQA Pro v2

Led by Databricks.

    Lineage

    Benchmarks this one is built on and built from: versions, subsets, extensions and the indexes that combine them.

    Built on

    Tier D

    D

    Long tail: little or no usage data yet.

    How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.

    • no usage data
    • in curated RL directories (1 pt)

    On X · well regarded, moderate buzz, from 12 posts about OfficeQA Pro v2 in the last month

    Labs like Moonshot and Databricks cite OfficeQA Pro v2 as a headline agentic result, while papers show scores depend heavily on harness and grader choices.

    @omarsar0 ↗ · @Kimi_Moonshot ↗ · @databricks ↗

    How we got to tier D
    1. Adoption: no usage data. Tier D.
    2. On X: well regarded, moderate buzz. “Labs like Moonshot and Databricks cite OfficeQA Pro v2 as a headline agentic result, while papers show scores depend heavily on harness and grader choices.” No move.
    3. In curated RL directories: 1 point, a floor of none.
    4. Confirmed: a line from its own site or paper places it.

    A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.

    Where OfficeQA Pro v2 sits

    Its domain on the map, live. Hover a logo for its name; click to open it. Open it on the full map

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    More Multimodal AI benchmarks

    Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-29 snapshot.