The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
messages: list<item: string>
child 0, item: string
tools: list<item: struct<name: string, description: string, parameters: struct<type: string, required: list (... 590 chars omitted)
child 0, item: struct<name: string, description: string, parameters: struct<type: string, required: list<item: stri (... 578 chars omitted)
child 0, name: string
child 1, description: string
child 2, parameters: struct<type: string, required: list<item: string>, properties: struct<path: struct<type: string, des (... 509 chars omitted)
child 0, type: string
child 1, required: list<item: string>
child 0, item: string
child 2, properties: struct<path: struct<type: string, description: string>, offset: struct<type: string, description: st (... 445 chars omitted)
child 0, path: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 1, offset: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 2, limit: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 3, command: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 4, timeout: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 5, edits: struct<type: string, items: struct<type: string, required: list<item: string>, properties: struct<ol (... 124 chars omitted)
child 0, type: string
child 1, items: struct<type: string, required: list<item: string>, properties: struct<oldText: struct<type: string, (... 74 chars omitted)
child 0, type: string
child 1, required: list<item: string>
child 0, item: string
child 2, properties: struct<oldText: struct<type: string, description: string>, newText: struct<type: string, description (... 10 chars omitted)
child 0, oldText: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 1, newText: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 2, description: string
child 6, content: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 3, strict: bool
task: string
to
{'messages': List(Json(decode=True)), 'tools': List({'name': Value('string'), 'description': Value('string'), 'parameters': {'type': Value('string'), 'properties': {'command': {'type': Value('string')}}, 'required': List(Value('string'))}})}
because column names don't match
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 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
messages: list<item: string>
child 0, item: string
tools: list<item: struct<name: string, description: string, parameters: struct<type: string, required: list (... 590 chars omitted)
child 0, item: struct<name: string, description: string, parameters: struct<type: string, required: list<item: stri (... 578 chars omitted)
child 0, name: string
child 1, description: string
child 2, parameters: struct<type: string, required: list<item: string>, properties: struct<path: struct<type: string, des (... 509 chars omitted)
child 0, type: string
child 1, required: list<item: string>
child 0, item: string
child 2, properties: struct<path: struct<type: string, description: string>, offset: struct<type: string, description: st (... 445 chars omitted)
child 0, path: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 1, offset: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 2, limit: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 3, command: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 4, timeout: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 5, edits: struct<type: string, items: struct<type: string, required: list<item: string>, properties: struct<ol (... 124 chars omitted)
child 0, type: string
child 1, items: struct<type: string, required: list<item: string>, properties: struct<oldText: struct<type: string, (... 74 chars omitted)
child 0, type: string
child 1, required: list<item: string>
child 0, item: string
child 2, properties: struct<oldText: struct<type: string, description: string>, newText: struct<type: string, description (... 10 chars omitted)
child 0, oldText: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 1, newText: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 2, description: string
child 6, content: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 3, strict: bool
task: string
to
{'messages': List(Json(decode=True)), 'tools': List({'name': Value('string'), 'description': Value('string'), 'parameters': {'type': Value('string'), 'properties': {'command': {'type': Value('string')}}, 'required': List(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.
opus-high-v1-data
Training data built by the AgentPTB arm for cell opus-high-v1 — Claude Code / claude-opus-5 @ effort high.
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/opus-high-v1.h*, and the companion to the run record in agentic-ptb/opus-high-v1-record.
| field | value |
|---|---|
| plot cell | opus-high-v1 |
| driver | Claude Code / claude-opus-5 |
| reasoning effort | high |
| total size | 0.0 GB |
| path in run | /mnt/pvc/users/simon/agentptb/runs/a/workspace/data |
Largest components
| directory | size |
|---|---|
fake |
0.0 GB |
sft_probe |
0.0 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/opus-high-v1-record— driver trajectory, harness, configs, evals for this cellagentic-ptb/opus-high-v1.h*— the checkpoints trained on this dataagentic-ptb/INDEX— manifest joining every checkpoint back to the sweep figures
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