---
license: other
license_name: cybernative-task-sample-terms
license_link: https://huggingface.co/datasets/CyberNative-AI/dated-break-tasks-sample/blob/main/LICENSES.md
pretty_name: "Dated-break coding tasks: 3-task sample"
language:
- en
tags:
- software-engineering
- code
- benchmark
- agent-evaluation
- environment-change
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: tasks.jsonl
extra_gated_heading: "Request access to the 3-task sample"
extra_gated_description: "Access is granted automatically."
extra_gated_prompt: "Your Hugging Face username, your email address and your answers below are shared with CyberNative AI LLC and handled as described at https://cybernative.ai/privacy/. Our own task material is provided under the terms in LICENSES.md; upstream code keeps its own licence."
extra_gated_fields:
Organization: text
Intended use:
type: select
options:
- Evaluation
- Training
- Research
- Other
May we email you once about further tasks of this kind?:
type: select
options:
- "Yes"
- "No"
extra_gated_button_content: "Request access"
---
# Dated-break coding tasks: 3-task sample
Prepared by CyberNative AI LLC, an AI-run company. These tasks were built and verified by AI agents.
Three software-engineering tasks built around published environment changes, including Canadian time-zone changes modelled in tzdb for
1 November 2026. Each task specifies a repository commit and a container base image by digest. The solver has to diagnose and
repair the reproduced failure.
| task | change | ecosystem | change date (source) | upstream status, 21 Oct 2026 |
|---|---|---|---|---|
| db-01-go-trzsz-ssh-ksk2024 | DNS root key roll to KSK-2024: the root zone is signed only by KSK-2024; the program embeds only KSK-2017 | Go | 11 Oct 2026 (IANA) | our pull request merged by the maintainer |
| db-04-js-blazer-moment-timezone | IANA time-zone data 2026c–2026e: Morocco, and Canadian zones that stop changing clocks after the 1 Nov 2026 transition; the vendored moment-timezone data is older | JavaScript | in force for Morocco; 1 Nov 2026 for Canada (IANA) | the maintainer made the same change; on master, not yet released |
| db-07-c-ossec-hids-rust-coreutils | Ubuntu 26.04 ships Rust coreutils, whose strings trip OSSEC rootcheck's trojan signatures on a clean install | C | Ubuntu 26.04 LTS release, April 2026 | our pull request open |
`tasks.jsonl` has one row per task with the repository, commit, licence, base image digest and upstream links.
## What each task contains
tasks/db-NN--/
TASK.md what the solver sees: symptom, repository, commit, the one check command
env/Dockerfile base image pinned by digest; repository at a pinned commit; visible check files in env/visible/
solution/solution.patch reference fix (applies to the pinned commit)
hidden/ grading tests (run_hidden.sh, tests/, TRACE.md = each assertion traced to TASK.md)
verify.sh runs inside the image: unmodified tree -> check and hidden tests FAIL; with the fix -> PASS; 3 repetitions
metadata.json the change and its date, upstream links, licence, fix/test public exposure, pinning, limits
logs/run.log our verification log: image build output and the verify.sh output
UPSTREAM-LICENSE/ the upstream repository's licence and notice files at the pinned commit
**Solver view.** Build `env/` (it contains no hidden tests and no solution), start a container, work in `/repo`, run
`bash /check.sh`. Give a solver only `TASK.md` and the container: `solution/` and `hidden/` are published in this
sample, and exposing either to the solver invalidates the evaluation.
**Scoring view.** `./run_plain.sh tasks/` builds the image with `--no-cache` and runs `verify.sh` with
`--network none`. Exit 0 and the last line `FAIL_TO_PASS VERIFIED in 3 of 3 repetitions` mean an empty solution scores 0
and the reference fix scores 1, three times in a row. To score a solver's change, apply it in place of
`solution/solution.patch`.
## Verification
For each task, `logs/run.log` records the image build and the `verify.sh` output: the check and the hidden tests fail
on the unmodified tree and pass with the reference fix, in 3 of 3 repetitions, with networking disabled. Simulated
dates and fixtures are identified per task in `metadata.json`: db-01 pins the clock inside the validity window of a
root DNSKEY record set fetched on 21 October 2026, and db-04 tests fixed instants. This demonstrates the recorded
checks, not that every real-world deployment fails.
## Dates and public exposure
Each task records the public source and relevant dates so you can compare them with a model's documented training
cutoff. These dates do not establish that the task, fix or related material was absent from training. The reference
fixes for db-01 and db-04 are in the upstream repositories, and db-07's fix is in a public pull request. The hidden
tests of these three tasks are published here. These three tasks are not part of the task sets we license.
## Pinning and limits
- Base images are pinned by digest, repositories by commit, and npm and Go dependencies by version or lock file.
db-04 and db-07 install operating-system packages from snapshot.debian.org / snapshot.ubuntu.com at fixed
timestamps written into the image's apt sources (`metadata.json` `pin`); db-01 installs none.
- The image build needs network access (GitHub for the pinned commit, the snapshot archives, the language
registries). Verification runs need none.
- The pins hold while the snapshot archives keep serving those timestamps and the base-image digests stay pullable.
If a digest is deleted, rebuild from the current tag and re-run verification.
- We have not compared package lists across repeated builds, so we do not claim bit-identical images.
- Tested on linux/amd64.
## Licence
Upstream code, and any upstream-derived patch, test or check file, remains under its upstream licence: MIT (db-01,
db-04) and GPL-2.0 (db-07). See `LICENSES.md` and each task's `UPSTREAM-LICENSE/`. For the original task material we
prepared, you may use, copy and modify it for evaluation, research and training, including in derived datasets. Our
materials were prepared by AI agents; we make no claim of copyright ownership in purely AI-generated material. We
supply Dockerfiles and image-digest references, not container images.
The full task pack is licensed on request; contact hello@cybernative.ai.
Corrections: hello@cybernative.ai. We issue dated corrections in this card.
Prepared by CyberNative AI LLC, an AI-run company, using AI agents.
CyberNative AI LLC · 2108 N St Ste N, Sacramento, CA 95816, USA · https://cybernative.ai
`SHA256SUMS` lists every file in this sample except itself.