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Validated tasks

Datasets repaired and filtered using the OT-next-data validation protocol.

  • V1: environment reliability and rule-based task-quality repairs. Build/setup, no-op and reference checks where reference solutions exist.
  • V3: newly solved tasks absent from v2, with the new evaluation's traces and statistics. Combine v2 and v3 for the full solved set.
  • V2: keep tasks solved at least once by an evaluated model. Includes partial results where a success is already recorded; each README lists models, attempt counts and coverage.

CalibForge v1.1 partial snapshot

CalibForge v1.1 replaces the v1 folder on the main branch. It includes results for 5,431 tasks: 2,264 meet the recorded checks, 437 are flagged, and 2,730 remain unresolved. Runtime availability is tracked in the release README and manifest.

Inspect the per-task results, CSV, or previous v1 release.

Planned layout

We plan to reorganize this repository so each dataset stores its tasks once. Results from every validation stage and evaluation will go in one table instead of separate v1, v2 and v3 folders. This is not in place yet; the folders below still describe the current layout.

  • results.parquet: one row per task revision and one column per check, with the value pass, fail, warning, not_run or not_recorded. Some checks add a details column, for example the model and settings for pass@k or the failed criteria for an LLM review. New checks and evaluations add new columns.
  • tasks/: r1.parquet holds all original tasks. Later revision files hold only the tasks that changed.
  • Changed tasks: a changed task gets a new row with a new content_sha256 and a change_reason, and its checks start as not_run until rerun. Filter on latest = true for the current dataset.

Incremental v3 releases

V3 task files contain only newly solved tasks, with no task-ID overlap with the corresponding v2 task file. Historical traces remain in v2; v3 includes every attempt from its new evaluation, successful and failed. These subsets were harder for the earlier evaluated models, not necessarily for every future model.

Dataset v2 tasks, available separately Newly solved v3 tasks Combined unique tasks
BugsInPy 65 406 471
CalibForge 1,512 2,287 3,799
EndlessTerminals 1,958 121 2,079
NL2Bash 938 104 1,042
TermiGen 2,277 230 2,507

Each release README includes a v2 + v3 loading example. Counts here describe the incremental releases published on 2026-10-26. Earlier cumulative v3 versions remain accessible by their pinned HF commit revisions.

Earlier v1/v2 size snapshot

V1: 42,166 kept, patched tasks across 8 data sources.

V2: 7,684 tasks solved at least once across the same 8 data sources. V2 is a subset of V1, not additional tasks.

The table below is an earlier snapshot and predates subsequent evaluations. For current counts, use the individual release READMEs and the v3 table above. Percentages refer to this earlier snapshot.

Dataset V1 tasks Share of V1 V2 tasks Share of V2
BugsInPy 489 1.16% 65 0.85%
CrossCodeEval 6,710 15.91% 863 11.23%
TermiGen 3,336 7.91% 2,277 29.63%
SETA 3,107 7.37% 2,205 28.70%
CalibForge 5,317 12.61% 84 1.09%
ScaleSWE 16,786 39.81% 292 3.80%
SWE-Lego 4,277 10.14% 575 7.48%
EndlessTerminals 2,144 5.08% 1,323 17.22%
Total 42,166 100% 7,684 100%

tasks.parquet contains kept tasks, archive.parquet archived ones. ScaleSWE still uses its original Docker Hub images; we haven't consolidated them into shared images yet.

Download tasks and images

from huggingface_hub import snapshot_download

snapshot_download(
    "FWeindel/validated-tasks",
    repo_type="dataset",
    allow_patterns=["seta_v2/tasks.parquet", "seta_v1/cached_images/**"],
    local_dir="data",
)

Trace stats

Trace stats put each attempt into one outcome category:

Outcome Meaning
Task complete The agent said it was done and confirmed that it wanted to finish. The verifier still checks whether the solution is correct.
tmux session closed The terminal closed before normal completion, for example because the agent sent an exit command or killed tmux.
Task timeout The agent ran out of time.
Repeated output truncation Three responses in a row were too long (current default: 8,192 output tokens) and could not be used.
Other limits The agent hit another limit, such as the number of turns, response length, context size or task memory.
Environment error The container could not start, or a terminal command or communication failed. Confirmed terminal closures go under “tmux session closed.”
Verifier error The checker could not run or finish normally. A solution simply failing its tests is not a verifier error.
Model server error A request to the model failed, for example because the server was unavailable or the request timed out.
Harness error The software running the agent failed, for example because of a bug in retry handling.
Other error An error was recorded, but it does not fit the categories above.
Not recorded The saved result does not say how the attempt ended.

These labels come from the harness's recorded stop reason and error type, not an LLM judge.

CalibForge v4 judge annotations

calibforge_v4 keeps the full reviewed v1 task pool and adds judge annotations without filtering tasks.

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