Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
directionals: struct<East: string, North: string, Northeast: string, Northwest: string, South: string, Southeast: (... 40 chars omitted)
child 0, East: string
child 1, North: string
child 2, Northeast: string
child 3, Northwest: string
child 4, South: string
child 5, Southeast: string
child 6, Southwest: string
child 7, West: string
suffixes: struct<Avenue: string, Boulevard: string, Circle: string, Court: string, Drive: string, Highway: str (... 139 chars omitted)
child 0, Avenue: string
child 1, Boulevard: string
child 2, Circle: string
child 3, Court: string
child 4, Drive: string
child 5, Highway: string
child 6, Lane: string
child 7, Loop: string
child 8, Parkway: string
child 9, Place: string
child 10, Road: string
child 11, Street: string
child 12, Terrace: string
child 13, Trail: string
child 14, Way: string
counts: struct<catalog_rows: int64>
child 0, catalog_rows: int64
license: struct<attribution: string, id: string>
child 0, attribution: string
child 1, id: string
zone_definitions_sha256: string
anchors: struct<count: int64>
child 0, count: int64
source: struct<bytes: int64, published_at: timestamp[s], sha256: string, url: string>
child 0, bytes: int64
child 1, published_at: timestamp[s]
child 2, sha256: string
child 3, url: string
artifact_id: string
artifact_sha256: string
to
{'anchors': {'count': Value('int64')}, 'artifact_id': Value('string'), 'artifact_sha256': Value('string'), 'counts': {'catalog_rows': Value('int64')}, 'license': {'attribution': Value('string'), 'id': Value('string')}, 'source': {'bytes': Value('int64'), 'published_at': Value('timestamp[s]'), 'sha256': Value('string'), 'url': Value('string')}, 'zone_definitions_sha256': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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/json/json.py", line 361, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
directionals: struct<East: string, North: string, Northeast: string, Northwest: string, South: string, Southeast: (... 40 chars omitted)
child 0, East: string
child 1, North: string
child 2, Northeast: string
child 3, Northwest: string
child 4, South: string
child 5, Southeast: string
child 6, Southwest: string
child 7, West: string
suffixes: struct<Avenue: string, Boulevard: string, Circle: string, Court: string, Drive: string, Highway: str (... 139 chars omitted)
child 0, Avenue: string
child 1, Boulevard: string
child 2, Circle: string
child 3, Court: string
child 4, Drive: string
child 5, Highway: string
child 6, Lane: string
child 7, Loop: string
child 8, Parkway: string
child 9, Place: string
child 10, Road: string
child 11, Street: string
child 12, Terrace: string
child 13, Trail: string
child 14, Way: string
counts: struct<catalog_rows: int64>
child 0, catalog_rows: int64
license: struct<attribution: string, id: string>
child 0, attribution: string
child 1, id: string
zone_definitions_sha256: string
anchors: struct<count: int64>
child 0, count: int64
source: struct<bytes: int64, published_at: timestamp[s], sha256: string, url: string>
child 0, bytes: int64
child 1, published_at: timestamp[s]
child 2, sha256: string
child 3, url: string
artifact_id: string
artifact_sha256: string
to
{'anchors': {'count': Value('int64')}, 'artifact_id': Value('string'), 'artifact_sha256': Value('string'), 'counts': {'catalog_rows': Value('int64')}, 'license': {'attribution': Value('string'), 'id': Value('string')}, 'source': {'bytes': Value('int64'), 'published_at': Value('timestamp[s]'), 'sha256': Value('string'), 'url': Value('string')}, 'zone_definitions_sha256': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
TradesBench
This dataset holds the runs for TradesBench. We ran each model multiple times on seed 5; this dataset contains the best run of each model, plus the scripted reference policies.
Results (seed 5)
| Run | Profit |
|---|---|
| Oracle (scripted reference policy) | +$30,289.56 |
| GPT-6 Astra, xhigh thinking effort | +$23,934.51 |
| Gemini 4 Argon, high thinking effort | +$23,431.93 |
| Claude Opus 5.5, xhigh thinking effort | +$23,118.20 |
| GPT-6.1 Sol, xhigh thinking effort | +$21,911.92 |
| Muse Wonder, xhigh thinking effort | +$11,432.48 |
| Reject-heavy baseline | Bankrupt on Oct 11 |
| Do-nothing baseline | Bankrupt on Oct 10 |
| Accept-all baseline | Bankrupt on Oct 12 |
Contents
runs/seed5/manifest.jsonindexes every run: profit, final cash, status, token usage, turns, and API cost.runs/seed5/<model>-<effort>-a<attempt>/holds one model run:policy-report.json: the final result of the run.run.db: the complete SQLite world state at the end of the run.pi-logs/: the complete agent trajectory, one set of files per turn (prompt.txt,stdout.jsonl,stderr.log).pi-usage.json: token usage and cost for the run.workspace/: the agent's own files at the end of the run, including itsMEMORY.mdnotes and any scripts it wrote.
runs/seed5/references/holds the policy reports of the oracle and the accept-all, reject-heavy, and do-nothing baselines.geography-arizona-v1/is the pinned Phoenix area geography artifact used by the simulation.
Reproduce
The benchmark source and instructions for running it are on github.
Geography license and attribution
geography-arizona-v1/ is a derived database from OpenStreetMap data, extracted from Geofabrik's Arizona extract. It is available under the Open Database License 1.0. Its full attribution and license are included at geography-arizona-v1/ATTRIBUTION.md and geography-arizona-v1/LICENSE.
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