Datasets:

---

axentx

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surrogate-2-distillation-v2

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AxentX 3

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
started_at: string
ended_at: string
samples_kept: int64
samples_dropped: int64
drop_reasons: struct<>
per_teacher_kept: struct<groq-llama-3.3-70b: int64, cerebras-llama-3.1-8b: int64, groq-llama-3.1-8b-instant: int64>
  child 0, groq-llama-3.3-70b: int64
  child 1, cerebras-llama-3.1-8b: int64
  child 2, groq-llama-3.1-8b-instant: int64
per_teacher_errors: struct<sn-llama-3.1-405b: int64, cerebras-llama-3.3-70b: int64, or-gemini-flash-thinking: int64, or- (... 612 chars omitted)
  child 0, sn-llama-3.1-405b: int64
  child 1, cerebras-llama-3.3-70b: int64
  child 2, or-gemini-flash-thinking: int64
  child 3, or-qwen-2.5-72b: int64
  child 4, sn-llama-3.1-70b: int64
  child 5, or-llama-3.3-70b: int64
  child 6, or-deepseek-v3: int64
  child 7, or-deepseek-r1: int64
  child 8, groq-deepseek-distill-70b: int64
  child 9, cerebras-qwen-3-32b: int64
  child 10, or-gpt-4o: int64
  child 11, or-claude-3.5-sonnet: int64
  child 12, groq-qwen-32b: int64
  child 13, sn-qwen-2.5-72b: int64
  child 14, or-qwen2-vl-72b: int64
  child 15, groq-mixtral-8x7b: int64
  child 16, or-qwen-coder-32b: int64
  child 17, or-qwen-qwq-32b: int64
  child 18, or-llama-3.2-vision-90b: int64
  child 19, or-hermes-4-70b: int64
  child 20, or-mistral-large: int64
  child 21, sn-llama-3.2-1b: int64
  child 22, or-command-r-plus: int64
  child 23, or-o1-mini: int64
  child 24, groq-llama-3.3-70b: int64
  child 25, groq-llama-3.1-8b-instant: int64
  child 26, cerebras-llama-3.1-8b: int64
per_capability_kept: struct<code: int64, agent: int64, multilingual: int64>
  child 0, code: int64
  child 1, agent: int64
  child 2, multilingual: int64
total_cost_usd: double
total_in_tokens: int64
total_out_tokens: int64
finish_reason: string
prompt_hash: string
sample_id: string
teacher_provider: string
latency_ms: int64
in_tokens: int64
prompt: string
cost_usd: double
out_tokens: int64
capability: string
teacher_id: string
teacher_model: string
response: string
created_at: string
source: string
to
{'sample_id': Value('string'), 'prompt': Value('string'), 'prompt_hash': Value('string'), 'capability': Value('string'), 'teacher_id': Value('string'), 'teacher_provider': Value('string'), 'teacher_model': Value('string'), 'response': Value('string'), 'latency_ms': Value('int64'), 'in_tokens': Value('int64'), 'out_tokens': Value('int64'), 'cost_usd': Value('float64'), 'finish_reason': Value('string'), 'created_at': Value('string'), 'source': Value('string')}
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 299, 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
              started_at: string
              ended_at: string
              samples_kept: int64
              samples_dropped: int64
              drop_reasons: struct<>
              per_teacher_kept: struct<groq-llama-3.3-70b: int64, cerebras-llama-3.1-8b: int64, groq-llama-3.1-8b-instant: int64>
                child 0, groq-llama-3.3-70b: int64
                child 1, cerebras-llama-3.1-8b: int64
                child 2, groq-llama-3.1-8b-instant: int64
              per_teacher_errors: struct<sn-llama-3.1-405b: int64, cerebras-llama-3.3-70b: int64, or-gemini-flash-thinking: int64, or- (... 612 chars omitted)
                child 0, sn-llama-3.1-405b: int64
                child 1, cerebras-llama-3.3-70b: int64
                child 2, or-gemini-flash-thinking: int64
                child 3, or-qwen-2.5-72b: int64
                child 4, sn-llama-3.1-70b: int64
                child 5, or-llama-3.3-70b: int64
                child 6, or-deepseek-v3: int64
                child 7, or-deepseek-r1: int64
                child 8, groq-deepseek-distill-70b: int64
                child 9, cerebras-qwen-3-32b: int64
                child 10, or-gpt-4o: int64
                child 11, or-claude-3.5-sonnet: int64
                child 12, groq-qwen-32b: int64
                child 13, sn-qwen-2.5-72b: int64
                child 14, or-qwen2-vl-72b: int64
                child 15, groq-mixtral-8x7b: int64
                child 16, or-qwen-coder-32b: int64
                child 17, or-qwen-qwq-32b: int64
                child 18, or-llama-3.2-vision-90b: int64
                child 19, or-hermes-4-70b: int64
                child 20, or-mistral-large: int64
                child 21, sn-llama-3.2-1b: int64
                child 22, or-command-r-plus: int64
                child 23, or-o1-mini: int64
                child 24, groq-llama-3.3-70b: int64
                child 25, groq-llama-3.1-8b-instant: int64
                child 26, cerebras-llama-3.1-8b: int64
              per_capability_kept: struct<code: int64, agent: int64, multilingual: int64>
                child 0, code: int64
                child 1, agent: int64
                child 2, multilingual: int64
              total_cost_usd: double
              total_in_tokens: int64
              total_out_tokens: int64
              finish_reason: string
              prompt_hash: string
              sample_id: string
              teacher_provider: string
              latency_ms: int64
              in_tokens: int64
              prompt: string
              cost_usd: double
              out_tokens: int64
              capability: string
              teacher_id: string
              teacher_model: string
              response: string
              created_at: string
              source: string
              to
              {'sample_id': Value('string'), 'prompt': Value('string'), 'prompt_hash': Value('string'), 'capability': Value('string'), 'teacher_id': Value('string'), 'teacher_provider': Value('string'), 'teacher_model': Value('string'), 'response': Value('string'), 'latency_ms': Value('int64'), 'in_tokens': Value('int64'), 'out_tokens': Value('int64'), 'cost_usd': Value('float64'), 'finish_reason': Value('string'), 'created_at': Value('string'), 'source': Value('string')}
              because column names don't match