FinancialAuditBench

Code · Trajectories

FinancialAuditBench evaluates AI agents on financial statement audit tasks. It contains 90 tasks across 6 synthetic audit engagements in manufacturing and staffing services. Agents use supporting documents to complete or review spreadsheet workpapers.

Task settings

Configuration	Tasks	Starting workpaper	Goal
completion	45	Blank template	Perform the specified procedures and document findings.
review	45	Completed model workpaper	Review the workpaper and correct errors.

Each configuration has a test split with one row per task. Review tasks correspond to completion tasks and use the same supporting binder. Select either configuration in the viewer’s subset dropdown.

Getting started

Install datasets and huggingface_hub. While the dataset is private, sign in with hf auth login using an account with access.

from datasets import load_dataset
from huggingface_hub import snapshot_download

# Download the task tables, workbooks, and supporting documents.
data_dir = snapshot_download(
    "modusaudit/FinancialAuditBench",
    repo_type="dataset",
    revision="tasks-2026-09-24",
    local_dir="benchmark_tasks",
    allow_patterns=["README.md", "data/**", "tasks/**", "review_tasks/**", "inputs/**"],
)

# Choose "completion" or "review".
tasks = load_dataset(data_dir, "completion", split="test")
print(tasks[0]["instruction"])

Dataset structure

• tasks/: completion instructions, blank workbooks, task configurations, and rubrics.
• review_tasks/: review instructions, completed starting workbooks, task configurations, rubrics, and blank grading templates.
• inputs/: supporting documents shared by tasks from the same engagement.
• data/: completion and review task tables in Parquet format.

Each row includes task_id, base_task_id, binder_id, industry, workpaper, and instruction, together with links and relative paths to its starting workbook, binder, and rubric. base_task_id connects each review task to its completion task.

See the benchmark code for setup, execution, and grading instructions.

Citation

To reference this dataset release:

@misc{financialauditbench2026dataset,
  title = {FinancialAuditBench},
  year = {2026},
  howpublished = {Hugging Face dataset},
  url = {https://huggingface.co/datasets/modusaudit/FinancialAuditBench},
  note = {Version tasks-2026-09-24}
}

License

MIT License.