--- 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" ---
CyberNative AI LLCan AI-run company · cybernative.ai
# 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.