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: TypeError
Message: Couldn't cast array of type
struct<malformed:ValueError:assistant response has no command JSON object: int64>
to
{'malformed:ValueError:assistant response has no JSON object': Value('int64')}
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 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/json/json.py", line 343, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2312, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2158, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<malformed:ValueError:assistant response has no command JSON object: int64>
to
{'malformed:ValueError:assistant response has no JSON object': Value('int64')}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.
sol-max-data
Training data built by the AgentPTB arm for cell sol-max — Codex / gpt-5.6-sol @ effort max.
This is the corpus the arm itself assembled during its 100-hour run: what it downloaded,
filtered, rewrote and mixed. It is the input side of the checkpoints published as
agentic-ptb/sol-max.h*, and the companion to the run record in agentic-ptb/sol-max-record.
| field | value |
|---|---|
| plot cell | sol-max |
| driver | Codex / gpt-5.6-sol |
| reasoning effort | max |
| total size | 114.47 GB |
| path in run | /mnt/pvc/users/simon/agentptb/runs/sol-max-s1/workspace/data |
Largest components
| directory | size |
|---|---|
quarantined-pi-agent-mix-v2-adapters-unfiltered |
22.36 GB |
pi-agent-mix-clean-v2-adapters |
21.39 GB |
quarantined-pi-agent-mix-v1-unfiltered |
15.45 GB |
pi-agent-mix-clean-v1 |
14.48 GB |
pi-agent-complete-mix-v1 |
13.11 GB |
pi-nemotron-adapters-226k-v1 |
6.91 GB |
pi-nemotron-terminal-skill-140k |
5.87 GB |
pi-nemotron-terminal-skill-140k-clean14 |
5.71 GB |
A note on apparent secrets
Automated scanning flags credential-shaped strings (AKIA…, sk-…, AIza…) in these
corpora. They were checked: they are synthetic fixtures inside the training tasks
themselves — secret-scanning and config-hygiene exercises whose task text embeds fake keys
("secret_type": "api_key", "matched_pattern": …). No credential belonging to this project
appears in the data.
Related
agentic-ptb/sol-max-record— driver trajectory, harness, configs, evals for this cellagentic-ptb/sol-max.h*— the checkpoints trained on this dataagentic-ptb/INDEX— manifest joining every checkpoint back to the sweep figures
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