The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: FileNotFoundError
Message: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7fcf95536e50>'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/xml/xml.py", line 67, in _generate_tables
with open(file, encoding=self.config.encoding, errors=self.config.encoding_errors) as f:
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/streaming.py", line 73, in wrapper
return function(*args, download_config=download_config, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 967, in xopen
return open(main_hop, mode, *args, **kwargs)
FileNotFoundError: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7fcf95536e50>'Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
agent-tasks-short
Short-horizon agent task sets: every task from the source benchmarks whose agent time cap ([agent] timeout_sec in task.toml) is at most 20 minutes (1200 s).
Each subset is a top-level directory of standard Harbor task dirs (task.toml, instruction.md, environment/, tests/), runnable with harbor run -p <subset-dir>.
Subsets
tblite: openthoughts/openthoughts-tblite (100 tasks).terminal-bench-2: terminal-bench/terminal-bench-2 (89 tasks).harbor-index-1.0: harbor-index/harbor-index-1.0 (82 tasks).
Cap-time reduction vs the full source datasets
Total cap time is the sum of per-task agent caps: the worst-case agent wall-clock to run the whole set once at concurrency 1.
| subset | tasks kept | cap time kept | cap time full | reduction |
|---|---|---|---|---|
| tblite | 56 / 100 | 12.1 h | 54.1 h | 78% |
| terminal-bench-2 | 57 / 89 | 14.6 h | 41.3 h | 65% |
| harbor-index-1.0 | 36 / 82 | 11.8 h | 52.3 h | 77% |
| total | 38.6 h | 147.7 h | 74% |
Provenance
Built by scripts/prepare_agent_tasks_short.py (minimax-agent-optimization repo).
Tasks are byte-identical copies of their sources.
terminal-bench-2-fn was removed 2026-08-20 (dispatch 009): its upstream repo is gone, so the subset can no longer be rebuilt or verified; earlier revisions of this dataset retain it.
Sub-5-minute subsets (2026-08-15)
Five additional subsets of short, mechanically verified tasks, every task with
[agent] timeout_sec = 300.0 and network_mode = "no-network" (answers are public upstream,
so runtime egress is disabled; grading is fully offline).
bbeh-mini/(460): the official BBEH Mini (google-deepmind/bbeh, data CC-BY-4.0), official fuzzy-match verifier.reasoning-gym/(576): the reasoning-gym easy+hard Harbor snapshots (Apache-2.0), official library scorer, pip pin reasoning-gym==0.1.25.dabstep/(450): DABstep easy+hard (adyen/DABstep, CC-BY-4.0), official scorer; golds reconstructed from the public task_scores split (unanimous-scorer-agreement gate) and cross-checked against an independent oracle port.bcb-hard/(127): BigCodeBench-Hard v0.1.4 (Apache-2.0) tasks whose canonical solutions pass under the pinned python:3.10-slim image; unit-test verifier.ifbench/(300): IFBench test prompts (code Apache-2.0, data ODC-BY-1.0) with the official strict prompt-level checkers vendored at a pinned commit.
Timing evidence and known caveats: agent_notes/short-tasks.md in the minimax-agent-optimization repo
(seed-harness x gpt-5.6-luna pilots, 24 tasks per collection; per-collection mean rewards 0.21-0.77,
max trial wall 328 s). Built by scripts/prepare_agent_tasks_5min.py; task bytes are deterministic
per the pinned revisions in each scripts/corpus5/*.py module docstring.
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