DeliverBench / README.md
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---
pretty_name: DeliverBench
license: cc-by-4.0
language:
- zh
- en
tags:
- agents
- benchmark
- multi-step
- document-generation
- finance
- medicine
- law
size_categories:
- n<1K
configs:
- config_name: projects
data_files:
- split: test
path: index/projects.jsonl
---
<p align="center">
<a href="https://deliverbench.github.io/"><img src="assets/logo-folio.svg" width="76" alt="DeliverBench project mark"></a>
</p>
<h1 align="center">DeliverBench</h1>
<p align="center"><strong>Benchmarking AI agents on continuous professional project delivery</strong></p>
<p align="center"><a href="https://arxiv.org/abs/2611.03412"><strong>📄 Paper</strong></a> &nbsp; · &nbsp; <a href="https://deliverbench.github.io/"><strong>🌐 Project website</strong></a> &nbsp; · &nbsp; <a href="https://github.com/theseus-labs-rsi/deliverbench"><strong>💻 Code</strong></a> &nbsp; · &nbsp; <a href="#download-and-run"><strong>📦 Download & run</strong></a></p>
Professional work unfolds through shared files, new inputs, feedback, and revision.
DeliverBench evaluates that continuous project lifecycle, from intermediate submissions
to a complete and usable final package.
[![From personal assistance and independent task execution to continuous professional project delivery](assets/figure-01-motivation.png)](assets/figure-01-motivation.png)
<sub>The evaluation unit expands from individual tasks to a complete professional project.</sub>
## Three public cases
| Case | Professional workflow | Stages | Explore |
|:---|:---|:---:|:---|
| **Case 01** | Project Mars Refinancing | 13 | [📁 Files](https://huggingface.co/datasets/deliverbench/DeliverBench/tree/main/projects/case-01_mars_refinancing) · [📦 ZIP](https://huggingface.co/datasets/deliverbench/DeliverBench/resolve/main/archives/DeliverBench-Case01.zip?download=true) |
| **Case 02** | Pharmacovigilance ICSR | 12 | [📁 Files](https://huggingface.co/datasets/deliverbench/DeliverBench/tree/main/projects/case-02_pv_icsr) · [📦 ZIP](https://huggingface.co/datasets/deliverbench/DeliverBench/resolve/main/archives/DeliverBench-Case02.zip?download=true) |
| **Case 03** | StarPulse Legal Delivery | 8 | [📁 Files](https://huggingface.co/datasets/deliverbench/DeliverBench/tree/main/projects/case-03_starpulse_legal) · [📦 ZIP](https://huggingface.co/datasets/deliverbench/DeliverBench/resolve/main/archives/DeliverBench-Case03.zip?download=true) |
Each case also has one independent FINAL evaluation. This public collection contains
three complete projects; it is not the entire research collection.
## Download and run
Clone the code repository, install its dependencies, and run:
```sh
python scripts/download_data.py --project all --output-dir data
```
The code pins this dataset to a full commit SHA and checks every downloaded project
file. Each project is also browsable under `projects/`; `archives/` provides a complete
ZIP for each project. SHA256 lists cover the expanded files and archives.
Install shared extension 0.7.2 with stock Harbor 0.20.0 in Python 3.12. Docker and
Compose are required. Each project README explains execution and an optional local
synthetic pipeline check that does not call paid model APIs. Real Candidate, Judge,
and Responder calls require the user's own provider configuration and may incur cost.
### Install the bundled Harbor extension
If you downloaded this Hugging Face repository, it also includes
[`deliverbench-harbor/`](deliverbench-harbor), the same shared extension distributed
on GitHub. From the downloaded repository root, with `uv` available:
```sh
uv venv --python 3.12 .venv-deliverbench
uv pip install --python .venv-deliverbench/bin/python uv ./deliverbench-harbor
source .venv-deliverbench/bin/activate
harbor --version
harbor plugins list
```
Then follow the configuration and run instructions in the chosen project's README
under `projects/`. The individual case ZIPs contain task files; the shared extension
is provided separately in this repository. Python dependencies and container images
still require downloads.
GitHub is the canonical development repository. This copy is a source snapshot of
extension **0.7.2**, compatible with Harbor **0.20.0**, from
[commit `76dcc68`](https://github.com/theseus-labs-rsi/deliverbench/tree/76dcc68c464e7dace943e3871509b2d672dce896/deliverbench-harbor).
[`code_snapshot.json`](code_snapshot.json) records its origin and file hashes;
[`SHA256SUMS`](SHA256SUMS) covers the published files. Future snapshots should be
updated from GitHub together with their compatibility metadata.
## How delivery works
[![Continuous execution in one persistent workspace, checkpoint evaluation, and independent final delivery evaluation](assets/figure-03-execution.png)](assets/figure-03-execution.png)
<sub>The same agent carries its work across stages. Checkpoints and the final delivery package are evaluated separately.</sub>
## A project in practice
[![Thirteen refinancing subtasks grouped into due diligence, financing proposal, modelling and review, and syndication and handoff](assets/figure-08-dependencies.png)](assets/figure-08-dependencies.png)
<sub>Case 01: earlier analyses, models, and lender feedback feed into a six-file final handoff. Original paper artwork.</sub>
## Dataset structure
The viewer contains one index row per project, with its directory, domain, stage count,
version, and criterion counts. The `test` split denotes public evaluation tasks; it is
not a training split or a set of independent question-answer records. Full documents,
staged inputs, rubrics, response rules, authored references, and environment files are
in the project directories. Office and PDF attachments retain their original formats.
An agent continues its own session across stages. Later inputs arrive at defined
times; response rules generate feedback from its frozen deliverables. The background
opening is unscored. The 33 process stages and three FINAL units are scored separately;
FINAL does not average process scores or inherit earlier hurdle hits. Incomplete
judgments and runtime failures do not become valid zero scores.
## Materials and intended use
The tasks reconstruct professional workflows with source documents, reconstructed
scenario materials, staged client feedback, rubrics, and authored reference fixtures.
Original notices and business-relevant document comments and revisions are retained.
The publishers have confirmed permission to redistribute this release's materials.
References, rubrics, simulator internals, and future-stage materials are public for
research reproducibility but remain isolated from the Candidate runtime. Evaluated
agents must not retrieve these hidden materials from this public repository. These
are public evaluation tasks; exposure or training contamination may affect comparisons.
The three projects are not representative of every profession or language. Their
source material mixes Chinese and English, with output-language requirements defined
by the individual tasks. Agent and Judge performance can depend on provider and tool
configuration. No universal assessment of professional competence is implied.
## Compatibility and licenses
Shared extension: 0.7.2. Harbor: 0.20.0.
The Case 01 language protocol treats a prohibited Chinese body as a violation; English
body text does not trigger that hurdle. Structured language observations are checked
for consistency. All task thresholds, weights, dependencies, and FINAL definitions
are fixed in this release.
Dataset content and [presentation figures](assets/README.md) are [CC BY 4.0](LICENSE). Executable code and environment/configuration
files are [Apache-2.0](LICENSE-CODE); see [LICENSING.md](LICENSING.md) for the boundary.
Use [CITATION.bib](CITATION.bib) when referencing this release.
This repository contains no model submissions, scores, judgments, evaluation reports,
execution logs, or trajectories. The reference fixtures are authored task components.