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NoeFlandre
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trace-garden

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Tags:
agent-traces
tool-use
dataset-audit
reproducibility
tracegarden
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License:
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1
Dataset Viewer
Auto-converted to Parquet 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
dataset_id: large_string
dataset_revision: null
source_split: large_string
source_row_index: int64
source_row_id: large_string
source_content_hash: large_string
trace_id: large_string
task_id: large_string
task_family: null
adapter_name: large_string
parse_status: large_string
parse_error: null
findings: large_string
recommended_filters: large_string
redaction_status: large_string
can_publish_snippet: bool
snippet_redacted: null
n_messages: int64
n_user_messages: int64
n_assistant_messages: int64
n_tool_calls: int64
n_tool_observations: int64
n_environment_observations: int64
n_tokens_estimated: int64
max_message_chars: int64
has_final_answer: bool
has_reward: bool
reward_value: null
has_success_label: bool
has_test_output: bool
has_patch: bool
execution_verified: null
critical_findings_count: int64
high_findings_count: int64
medium_findings_count: int64
low_findings_count: int64
schema_validity_score: double
evidence_completeness_score: double
verification_score: double
safety_sanitization_score: double
dedupe_risk_score: double
documentation_score: double
rollout_card_convertibility_score: double
to
{'dataset_id': Value('large_string'), 'dataset_revision': Value('null'), 'adapter_name': Value('large_string'), 'sample_size': Value('int64'), 'parse_success_rate': Value('float64'), 'critical_findings_count': Value('int64'), 'high_findings_count': Value('int64'), 'medium_findings_count': Value('int64'), 'low_findings_count': Value('int64'), 'top_findings': Value('large_string'), 'recommended_filters': Value('large_string'), 'schema_validity_score': Value('float64'), 'evidence_completeness_score': Value('float64'), 'verification_score': Value('float64'), 'safety_sanitization_score': Value('float64'), 'dedupe_risk_score': Value('float64'), 'documentation_score': Value('float64'), 'rollout_card_convertibility_score': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 209, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 147, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              dataset_id: large_string
              dataset_revision: null
              source_split: large_string
              source_row_index: int64
              source_row_id: large_string
              source_content_hash: large_string
              trace_id: large_string
              task_id: large_string
              task_family: null
              adapter_name: large_string
              parse_status: large_string
              parse_error: null
              findings: large_string
              recommended_filters: large_string
              redaction_status: large_string
              can_publish_snippet: bool
              snippet_redacted: null
              n_messages: int64
              n_user_messages: int64
              n_assistant_messages: int64
              n_tool_calls: int64
              n_tool_observations: int64
              n_environment_observations: int64
              n_tokens_estimated: int64
              max_message_chars: int64
              has_final_answer: bool
              has_reward: bool
              reward_value: null
              has_success_label: bool
              has_test_output: bool
              has_patch: bool
              execution_verified: null
              critical_findings_count: int64
              high_findings_count: int64
              medium_findings_count: int64
              low_findings_count: int64
              schema_validity_score: double
              evidence_completeness_score: double
              verification_score: double
              safety_sanitization_score: double
              dedupe_risk_score: double
              documentation_score: double
              rollout_card_convertibility_score: double
              to
              {'dataset_id': Value('large_string'), 'dataset_revision': Value('null'), 'adapter_name': Value('large_string'), 'sample_size': Value('int64'), 'parse_success_rate': Value('float64'), 'critical_findings_count': Value('int64'), 'high_findings_count': Value('int64'), 'medium_findings_count': Value('int64'), 'low_findings_count': Value('int64'), 'top_findings': Value('large_string'), 'recommended_filters': Value('large_string'), 'schema_validity_score': Value('float64'), 'evidence_completeness_score': Value('float64'), 'verification_score': Value('float64'), 'safety_sanitization_score': Value('float64'), 'dedupe_risk_score': Value('float64'), 'documentation_score': Value('float64'), 'rollout_card_convertibility_score': Value('float64')}
              because column names don't match

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TraceGarden Agent Trace Audit

This compiled output contains pointer/hash/metadata audit rows, not raw trace data.

This v0.1 seed upload contains a small public smoke audit. It is intended to validate the TraceGarden publishing format and dashboard flow before larger audits are uploaded.

TraceGarden audit summary

Dataset: tracegarden/tiny-example Audit version: 0.1.0 Sample size: 1 Parse success rate: 1.00

Component scores

Dimension Score
Schema validity 1.00
Evidence completeness 0.75
Verification evidence 0.75
Safety sanitization 1.00
Dedupe risk 1.00
Documentation 1.00
Rollout-card convertibility 1.00

Top findings

  1. evidence.no_observations: 1
  2. verification.reward_missing: 1

Recommended filters

  • filter_incomplete_evidence
  • filter_unverified

Generated by TraceGarden.

TraceGarden audit summary

Dataset: open-thoughts/AgentTrove Audit version: 0.1.0 Sample size: 20 Parse success rate: 1.00

Component scores

Dimension Score
Schema validity 1.00
Evidence completeness 0.75
Verification evidence 0.75
Safety sanitization 0.68
Dedupe risk 1.00
Documentation 1.00
Rollout-card convertibility 1.00

Top findings

  1. safety.pii.phone: 30
  2. evidence.no_observations: 20
  3. verification.reward_missing: 20

Recommended filters

  • filter_incomplete_evidence
  • filter_unverified

Generated by TraceGarden.
Downloads last month
17
Number of rows:
23
Total file size:
30.8 kB

Space using NoeFlandre/trace-garden 1