Download README.md from zhangdw/TB21: direct link, hf CLI and curl.
- Browser
- Download file 3.75 kB
-
https://huggingface.co/datasets/zhangdw/TB21/resolve/main/README.md
- Command line
-
hf download hf://datasets/zhangdw/TB21/README.md
-
curl -L -o README.md https://huggingface.co/datasets/zhangdw/TB21/resolve/main/README.md
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.
| 89 Tasks |
89 Docker images |
19.43 GiB Compressed images |
Quick start · What's inside · Provenance
Quick start
Requires uv, Python 3.11+, Docker, and zstd.
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.
Load selected tasks or verify the archives
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.
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 · File checksums · Task-package hashes
Verification scope
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.
Task sources use Apache-2.0; bundled components retain their own licenses. See NOTICE and the task license. This is a community archive for evaluation; keep benchmark evaluation data out of training corpora.
Related datasets: TB2 · TB4 · GAIA2-mini