office
Datasets
All datasets matching “office”met-office-uk-deterministic-solar
Met Office UK Deterministic Dataset (Zarr Format)
Description
This dataset is a subset of the Met Office UK Deterministic Dataset, converted from the original NetCDF format into Zarr format for modern data analysis. The Zarr files are packaged as .zarr.zip archives for efficient storage and transfer.
The subset focuses on specific variables and configurations, which are detailed below. Researchers and developers can use this subset for applications in climate science… See the full description on the dataset page: https://huggingface.co/datasets/openclimatefix/met-office-uk-deterministic-solar.officeqa
OfficeQA
Dataset Summary
OfficeQA is a grounded reasoning benchmark by Databricks for evaluating model and agent performance on end-to-end reasoning over real-world documents.
The benchmark consists of question–answer pairs that require reasoning over historical U.S. Treasury Bulletin documents (1939–2025), which contain dense financial tables, charts, and narrative text. OfficeQA is designed to test retrieval, tool use, and multi-step reasoning in… See the full description on the dataset page: https://huggingface.co/datasets/databricks/officeqa.officeqa
OfficeQA manifest (nearai-bench packaging)
Harness-ready question manifest for
databricks/officeqa — document-grounded
QA over U.S. Treasury Bulletins (1939–2025). 246 items in full,
8 in smoke (a 4-easy/4-hard subset for pipeline checks).
from datasets import load_dataset
ds = load_dataset("NEAR-AI/officeqa", split="full")
⚠️ This is the manifest only — documents are NOT included
Unlike our pinchbench and
clawbench exports, the
source corpus is not bundled here.… See the full description on the dataset page: https://huggingface.co/datasets/NEAR-AI/officeqa.OmegaUse-OfficeVal
OmegaUse-OfficeVal
Benchmarking LLM Agents on Long-Horizon Office-Suite Tasks with Economic Grounding
OmegaUse-OfficeVal is a benchmark for evaluating LLM agents on long-horizon,
real-world office-suite tasks that span word-processing documents, spreadsheets,
presentations, and cross-file productivity workflows. Tasks are derived from
authentic office requests proposed by practitioners and drawn from freelance
platforms, grounding the benchmark in real economic demand. Each task… See the full description on the dataset page: https://huggingface.co/datasets/baidu-frontier-research/OmegaUse-OfficeVal.officeqa-pro-v2
OfficeQA Pro v2
Dataset Summary
OfficeQA Pro v2 is a grounded reasoning benchmark by Databricks for evaluating model and agent performance on end-to-end reasoning over real-world documents.
The benchmark consists of question–answer pairs that require reasoning over two centuries of U.S. Federal Accounts of Receipts and Expenditures reporting (1793–2024) — Combined Statements of Receipts, Outlays, and Balances of the United States Government, together with earlier… See the full description on the dataset page: https://huggingface.co/datasets/databricks/officeqa-pro-v2.Office-Home
Dataset Card for Office-Home
This is a FiftyOne dataset with 15588 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/Office-Home")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/Office-Home.