Datasets:

---

tinkersnot

/

tb2-1-vision

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
uuid: string
timestamp: string
type: string
message: struct<role: string, content: string>
  child 0, role: string
  child 1, content: string
timeline: struct<sessionId: string, conversationId: string, turnNumber: int64>
  child 0, sessionId: string
  child 1, conversationId: string
  child 2, turnNumber: int64
model: struct<id: string, provider: string, apiPattern: string>
  child 0, id: string
  child 1, provider: string
  child 2, apiPattern: string
detail: null
usage: 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
inputHash: string
errorSnippet: string
inputSummary: string
success: bool
ts: int64
kind: string
approachHash: string
sessionId: string
toolName: string
to
{'ts': Value('int64'), 'sessionId': Value('string'), 'toolName': Value('string'), 'inputHash': Value('string'), 'inputSummary': Value('string'), 'success': Value('bool'), 'approachHash': Value('string'), 'detail': Json(decode=True), 'errorSnippet': Value('string'), 'kind': 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
              uuid: string
              timestamp: string
              type: string
              message: struct<role: string, content: string>
                child 0, role: string
                child 1, content: string
              timeline: struct<sessionId: string, conversationId: string, turnNumber: int64>
                child 0, sessionId: string
                child 1, conversationId: string
                child 2, turnNumber: int64
              model: struct<id: string, provider: string, apiPattern: string>
                child 0, id: string
                child 1, provider: string
                child 2, apiPattern: string
              detail: null
              usage: 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
              inputHash: string
              errorSnippet: string
              inputSummary: string
              success: bool
              ts: int64
              kind: string
              approachHash: string
              sessionId: string
              toolName: string
              to
              {'ts': Value('int64'), 'sessionId': Value('string'), 'toolName': Value('string'), 'inputHash': Value('string'), 'inputSummary': Value('string'), 'success': Value('bool'), 'approachHash': Value('string'), 'detail': Json(decode=True), 'errorSnippet': Value('string'), 'kind': Value('string')}
              because column names don't match