Datasets:

---

tinkersnot

/

tb2-nf-3

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
task: string
status: string
reward: double
errored: int64
exc: list<item: string>
  child 0, item: string
inputTokens: int64
outputTokens: int64
cacheReadTokens: int64
cacheCreationTokens: int64
toolCallIterations: int64
cost_usd: double
cost_usd_offpeak: double
cost_usd_peak: double
rate_tier: string
usage_raw: struct<inputTokens: int64, outputTokens: int64, totalTokens: int64, cache: struct<cacheCreationToken (... 134 chars omitted)
  child 0, inputTokens: int64
  child 1, outputTokens: int64
  child 2, totalTokens: int64
  child 3, cache: struct<cacheCreationTokens: int64, cacheReadTokens: int64, uncachedInputTokens: int64, cacheHitRate: (... 34 chars omitted)
      child 0, cacheCreationTokens: int64
      child 1, cacheReadTokens: int64
      child 2, uncachedInputTokens: int64
      child 3, cacheHitRate: double
      child 4, costSavingsRatio: double
  child 4, reasoningTokens: int64
cost_basis: string
trajectory: string
tool_calls_total: int64
tool_calls_by_name: string
thinking_chars: int64
out_tok_max_call: int64
usage_turns: int64
latency_s: double
agent_budget_s: double
budget_frac: double
ts: timestamp[s]
model: string
harness: string
adapter: string
arm: string
metrics_err: string
to
{'task': Value('string'), 'status': Value('string'), 'reward': Value('float64'), 'errored': Value('int64'), 'exc': List(Value('string')), 'metrics_err': Value('string'), 'cost_basis': Value('string'), 'trajectory': Value('string'), 'tool_calls_total': Value('int64'), 'tool_calls_by_name': Json(decode=True), 'thinking_chars': Value('int64'), 'out_tok_max_call': Value('int64'), 'inputTokens': Value('int64'), 'outputTokens': Value('int64'), 'cacheReadTokens': Value('int64'), 'cacheCreationTokens': Value('int64'), 'usage_turns': Value('int64'), 'cost_usd': Value('float64'), 'cost_usd_offpeak': Value('float64'), 'cost_usd_peak': Value('float64'), 'rate_tier': Value('string'), 'latency_s': Value('float64'), 'agent_budget_s': Value('float64'), 'budget_frac': Value('float64'), 'ts': Value('timestamp[s]'), 'model': Value('string'), 'harness': Value('string'), 'adapter': Value('string'), 'arm': 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
              task: string
              status: string
              reward: double
              errored: int64
              exc: list<item: string>
                child 0, item: string
              inputTokens: int64
              outputTokens: int64
              cacheReadTokens: int64
              cacheCreationTokens: int64
              toolCallIterations: int64
              cost_usd: double
              cost_usd_offpeak: double
              cost_usd_peak: double
              rate_tier: string
              usage_raw: struct<inputTokens: int64, outputTokens: int64, totalTokens: int64, cache: struct<cacheCreationToken (... 134 chars omitted)
                child 0, inputTokens: int64
                child 1, outputTokens: int64
                child 2, totalTokens: int64
                child 3, cache: struct<cacheCreationTokens: int64, cacheReadTokens: int64, uncachedInputTokens: int64, cacheHitRate: (... 34 chars omitted)
                    child 0, cacheCreationTokens: int64
                    child 1, cacheReadTokens: int64
                    child 2, uncachedInputTokens: int64
                    child 3, cacheHitRate: double
                    child 4, costSavingsRatio: double
                child 4, reasoningTokens: int64
              cost_basis: string
              trajectory: string
              tool_calls_total: int64
              tool_calls_by_name: string
              thinking_chars: int64
              out_tok_max_call: int64
              usage_turns: int64
              latency_s: double
              agent_budget_s: double
              budget_frac: double
              ts: timestamp[s]
              model: string
              harness: string
              adapter: string
              arm: string
              metrics_err: string
              to
              {'task': Value('string'), 'status': Value('string'), 'reward': Value('float64'), 'errored': Value('int64'), 'exc': List(Value('string')), 'metrics_err': Value('string'), 'cost_basis': Value('string'), 'trajectory': Value('string'), 'tool_calls_total': Value('int64'), 'tool_calls_by_name': Json(decode=True), 'thinking_chars': Value('int64'), 'out_tok_max_call': Value('int64'), 'inputTokens': Value('int64'), 'outputTokens': Value('int64'), 'cacheReadTokens': Value('int64'), 'cacheCreationTokens': Value('int64'), 'usage_turns': Value('int64'), 'cost_usd': Value('float64'), 'cost_usd_offpeak': Value('float64'), 'cost_usd_peak': Value('float64'), 'rate_tier': Value('string'), 'latency_s': Value('float64'), 'agent_budget_s': Value('float64'), 'budget_frac': Value('float64'), 'ts': Value('timestamp[s]'), 'model': Value('string'), 'harness': Value('string'), 'adapter': Value('string'), 'arm': Value('string')}
              because column names don't match