| --- |
| license: other |
| license_name: upstream-and-component-licenses |
| license_link: https://huggingface.co/datasets/zhangdw/TB21/blob/main/NOTICE.md |
| pretty_name: TB21 — Terminal-Bench 2.1 tasks and Docker images |
| tags: |
| - terminal-bench |
| - benchmark |
| - docker |
| - agents |
| language: |
| - en |
| size_categories: |
| - n<1K |
| --- |
| |
|  |
|
|
| **TB21** packages Terminal-Bench **2.1** tasks, their Linux amd64 Docker images, and a streaming restore script for agent evaluation. Each repository contains its own task files and image archives and can be used independently. |
|
|
| <table width="100%" style="display: table; width: 100%; table-layout: fixed;"> |
| <tr> |
| <td width="33%" align="center" style="text-align: center; padding: 16px 8px;"><strong style="font-size: 24px;">89</strong><br>Tasks</td> |
| <td width="33%" align="center" style="text-align: center; padding: 16px 8px;"><strong style="font-size: 24px;">89</strong><br>Docker images</td> |
| <td width="33%" align="center" style="text-align: center; padding: 16px 8px;"><strong style="font-size: 24px;">19.43 GiB</strong><br>Compressed images</td> |
| </tr> |
| </table> |
|
|
| <p align="center"> |
| <a href="#quick-start">Quick start</a> · <a href="#whats-inside">What's inside</a> · <a href="#provenance">Provenance</a> |
| </p> |
|
|
| ## Quick start |
|
|
| Requires **uv, Python 3.11+, Docker, and zstd**. |
|
|
| ```bash |
| uvx hf download zhangdw/TB21 --type dataset --local-dir TB21 |
| python3 TB21/load_images.py TB21 |
| ``` |
|
|
| Use **`TB21/data/`** as the local dataset directory in [Harbor](https://github.com/harbor-framework/harbor). |
|
|
| <details> |
| <summary><strong>Load selected tasks or verify the archives</strong></summary> |
|
|
| ```bash |
| python3 TB21/load_images.py TB21 --task log-summary-date-ranges |
| python3 TB21/load_images.py TB21 --verify-only |
| ``` |
|
|
| Repeat `--task` to select more tasks; all images required by the selected tasks are included. `--verify-only` checks archive sizes and SHA-256 without Docker. |
|
|
| The loader streams ordered parts directly into `zstd` and `docker load`. Reserve space for both the downloaded archives and Docker's extracted images. The loader restores task-file executable modes automatically. |
|
|
| Images target Linux amd64; ARM hosts need emulation. Agent installation and tasks that use external services may still require network access. |
|
|
| </details> |
|
|
| ## What's inside |
|
|
| | Path | Contents | |
| | --- | --- | |
| | `data/<task>/` | Original instructions, environment definitions, tests, and solutions | |
| | `images/` | zstd-compressed Docker archives, split into parts of at most 1 GiB | |
| | `images/manifest.json` | Image references, digests, ordered parts, and SHA-256 | |
| | `load_images.py` | Archive verification and image restoration | |
|
|
| ## Provenance |
|
|
| Official task selection: `terminal-bench/terminal-bench-2-1@6`. All 89 task-package hashes were verified against that snapshot. Task bytes, author notices, and benchmark canaries are preserved. |
|
|
| [Source revisions](provenance.json) · [File checksums](data-manifest.json) · [Task-package hashes](task-manifest.json) |
|
|
| <details> |
| <summary><strong>Verification scope</strong></summary> |
|
|
| Packaging checks covered task hashes, image layers, archive integrity, and uploaded files. Native Docker loading, model inference, and benchmark execution were not run during packaging. |
|
|
| </details> |
|
|
| Task sources use Apache-2.0; bundled components retain their own licenses. See [NOTICE](NOTICE.md) and [the task license](LICENSE-TERMINAL-BENCH). This is a community archive for evaluation; keep benchmark evaluation data out of training corpora. |
|
|
| **Related datasets:** [TB2](https://huggingface.co/datasets/zhangdw/TB2) · [TB4](https://huggingface.co/datasets/zhangdw/TB4) · [GAIA2-mini](https://huggingface.co/datasets/zhangdw/GAIA2-mini) |
|
|
