Dataset Viewer
Duplicate
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
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 match

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.

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 cell
  • agentic-ptb/opus-high-v1.h* — the checkpoints trained on this data
  • agentic-ptb/INDEX — manifest joining every checkpoint back to the sweep figures
Downloads last month
23