Datasets:

---

CatXG

/

carememx-results

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
run_id: string
model: string
quantization: string
hf_slot: string
task_slice: string
lang_filter: string
num_results: int64
num_errors: int64
avg_latency_ms: double
timestamp: string
results: list<item: struct<result_id: string, episode_id: string, question_id: string, run_id: string, model_ (... 268 chars omitted)
  child 0, item: struct<result_id: string, episode_id: string, question_id: string, run_id: string, model_name: strin (... 256 chars omitted)
      child 0, result_id: string
      child 1, episode_id: string
      child 2, question_id: string
      child 3, run_id: string
      child 4, model_name: string
      child 5, model_quantization: string
      child 6, prompt_template: string
      child 7, model_output: string
      child 8, expected_answer: string
      child 9, task_family: string
      child 10, language_pair: string
      child 11, perturbation_type: string
      child 12, latency_ms: double
      child 13, tokens_generated: int64
      child 14, tokens_input: int64
      child 15, hf_slot: string
errors: list<item: null>
  child 0, item: null
accuracy: double
to
{'run_id': Value('string'), 'model': Value('string'), 'hf_slot': Value('string'), 'accuracy': Value('float64'), 'results': List({'task_id': Value('int64'), 'model_output': Value('string'), 'parsed_json': {'tool_name': Value('string'), 'parameters': {'action': Value('string'), 'content': Value('string'), 'category': Value('string')}, 'tool_call': {'name': Value('string'), 'parameters': {'action': Value('string'), 'content': Value('string'), 'category': Value('string')}}}, 'action_correct': Value('bool'), 'expected_action': Value('string')}), 'errors': List(Value('null'))}
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/json/json.py", line 295, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, 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
              run_id: string
              model: string
              quantization: string
              hf_slot: string
              task_slice: string
              lang_filter: string
              num_results: int64
              num_errors: int64
              avg_latency_ms: double
              timestamp: string
              results: list<item: struct<result_id: string, episode_id: string, question_id: string, run_id: string, model_ (... 268 chars omitted)
                child 0, item: struct<result_id: string, episode_id: string, question_id: string, run_id: string, model_name: strin (... 256 chars omitted)
                    child 0, result_id: string
                    child 1, episode_id: string
                    child 2, question_id: string
                    child 3, run_id: string
                    child 4, model_name: string
                    child 5, model_quantization: string
                    child 6, prompt_template: string
                    child 7, model_output: string
                    child 8, expected_answer: string
                    child 9, task_family: string
                    child 10, language_pair: string
                    child 11, perturbation_type: string
                    child 12, latency_ms: double
                    child 13, tokens_generated: int64
                    child 14, tokens_input: int64
                    child 15, hf_slot: string
              errors: list<item: null>
                child 0, item: null
              accuracy: double
              to
              {'run_id': Value('string'), 'model': Value('string'), 'hf_slot': Value('string'), 'accuracy': Value('float64'), 'results': List({'task_id': Value('int64'), 'model_output': Value('string'), 'parsed_json': {'tool_name': Value('string'), 'parameters': {'action': Value('string'), 'content': Value('string'), 'category': Value('string')}, 'tool_call': {'name': Value('string'), 'parameters': {'action': Value('string'), 'content': Value('string'), 'category': Value('string')}}}, 'action_correct': Value('bool'), 'expected_action': Value('string')}), 'errors': List(Value('null'))}
              because column names don't match