Datasets:

---

SitongGong

/

EvoStream

Like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
space: string
time: string
cell: string
stage: string
passed: bool
question: string
options: list<item: string>
  child 0, item: string
gt: string
evidence_ts: int64
evidence_desc: string
why_retrieval_needed: string
probe_id: string
gen_ts: list<item: double>
  child 0, item: double
l1: struct<choice: string, confident: bool>
  child 0, choice: string
  child 1, confident: bool
l2: struct<answer_correct: bool, derivable: bool, reason: string>
  child 0, answer_correct: bool
  child 1, derivable: bool
  child 2, reason: string
video_id: string
frame_mode: string
n_frames: int64
lib_snapshot: null
episodes: null
gt_map: null
reject: string
followup_qids: list<item: null>
  child 0, item: null
state_id: string
dataset: string
analysis: null
last_receipt: string
to
{'state_id': Value('string'), 'dataset': Value('string'), 'lib_snapshot': {'version': Value('int64'), 'namespace_note': Value('string'), 'cards': List({'card_id': Value('string'), 'namespace': Value('string'), 'pathology': Value('string'), 'trigger': Value('string'), 'program': Value('string'), 'params': Json(decode=True), 'anti_pattern': Value('string'), 'meta_info': Json(decode=True)}), 'updated_at': Value('timestamp[s]')}, 'episodes': List({'episode_id': Value('string'), 'dataset': Value('string'), 'video_id': Value('string'), 'q_id': Value('string'), 'q_time': Value('float64'), 'question': Value('string'), 'options': List(Value('string')), 'schema': Value('string'), 'skill_lib_version': Value('int64'), 'skills_injected': List(Value('string')), 'skills_fired': List(Value('string')), 'tools_available': {'get_recent_caption': {'window_s': Value('int64')}, 'get_topk_caption': {'k': Value('int64'), 'level': Value('string'), 't_min': Value('int64'), 't_max': Value('int64')}, 'search_lex': {'k': Value('int64'), 't_min': Value('int64'), 't_max': Value('int64')}, 'get_topk_frame': {'k': Value('int64'), 't_min': Value('int64'), 't_max': Value('int64')}, 'get_topk_clip_embedding': {'k': Value('int64'), 't_min': Value('int64'), 't_max': Value('int64')}, 'rewatch_frames': {'max_frames': Value('int64')}, 'caption_rewrite': {'max_frames': Value('int64')}, 'count_in_frames': {'max_frames': Value('int64')}, 'wait': {'timeout_s': Value('int64')}}, 'trace': List({'step': Value('int64'), 'tool': Value('string'), 'args': Json(decode=True), 'result_digest': Value('string'), 'n_results': Value('int64'), 'error': Value('bool')}), 'reasoning': Value('string'), 'retrieved_context': Value('string'), 'answer': Value('string'), 'choice': Value('string'), 't_ans': Value('float64'), 'feedback': {'source': Value('string'), 'verdict': Value('string'), 'confidence': Value('float64'), 'rationale': Value('string'), 'suspected_pathology': Value('string'), 'judge_model': Value('string')}, 'skill_tags': Value('null'), 'pathology': Value('null'), 'probe': Value('null'), 'cost': {'llm_calls': Value('int64'), 'prompt_chars': Value('int64'), 'wall_s': Value('float64')}, 'raw_last_reply': Value('string')}), 'analysis': Value('null'), 'last_receipt': Value('string'), 'followup_qids': List(Value('null')), 'gt_map': Json(decode=True)}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                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
              space: string
              time: string
              cell: string
              stage: string
              passed: bool
              question: string
              options: list<item: string>
                child 0, item: string
              gt: string
              evidence_ts: int64
              evidence_desc: string
              why_retrieval_needed: string
              probe_id: string
              gen_ts: list<item: double>
                child 0, item: double
              l1: struct<choice: string, confident: bool>
                child 0, choice: string
                child 1, confident: bool
              l2: struct<answer_correct: bool, derivable: bool, reason: string>
                child 0, answer_correct: bool
                child 1, derivable: bool
                child 2, reason: string
              video_id: string
              frame_mode: string
              n_frames: int64
              lib_snapshot: null
              episodes: null
              gt_map: null
              reject: string
              followup_qids: list<item: null>
                child 0, item: null
              state_id: string
              dataset: string
              analysis: null
              last_receipt: string
              to
              {'state_id': Value('string'), 'dataset': Value('string'), 'lib_snapshot': {'version': Value('int64'), 'namespace_note': Value('string'), 'cards': List({'card_id': Value('string'), 'namespace': Value('string'), 'pathology': Value('string'), 'trigger': Value('string'), 'program': Value('string'), 'params': Json(decode=True), 'anti_pattern': Value('string'), 'meta_info': Json(decode=True)}), 'updated_at': Value('timestamp[s]')}, 'episodes': List({'episode_id': Value('string'), 'dataset': Value('string'), 'video_id': Value('string'), 'q_id': Value('string'), 'q_time': Value('float64'), 'question': Value('string'), 'options': List(Value('string')), 'schema': Value('string'), 'skill_lib_version': Value('int64'), 'skills_injected': List(Value('string')), 'skills_fired': List(Value('string')), 'tools_available': {'get_recent_caption': {'window_s': Value('int64')}, 'get_topk_caption': {'k': Value('int64'), 'level': Value('string'), 't_min': Value('int64'), 't_max': Value('int64')}, 'search_lex': {'k': Value('int64'), 't_min': Value('int64'), 't_max': Value('int64')}, 'get_topk_frame': {'k': Value('int64'), 't_min': Value('int64'), 't_max': Value('int64')}, 'get_topk_clip_embedding': {'k': Value('int64'), 't_min': Value('int64'), 't_max': Value('int64')}, 'rewatch_frames': {'max_frames': Value('int64')}, 'caption_rewrite': {'max_frames': Value('int64')}, 'count_in_frames': {'max_frames': Value('int64')}, 'wait': {'timeout_s': Value('int64')}}, 'trace': List({'step': Value('int64'), 'tool': Value('string'), 'args': Json(decode=True), 'result_digest': Value('string'), 'n_results': Value('int64'), 'error': Value('bool')}), 'reasoning': Value('string'), 'retrieved_context': Value('string'), 'answer': Value('string'), 'choice': Value('string'), 't_ans': Value('float64'), 'feedback': {'source': Value('string'), 'verdict': Value('string'), 'confidence': Value('float64'), 'rationale': Value('string'), 'suspected_pathology': Value('string'), 'judge_model': Value('string')}, 'skill_tags': Value('null'), 'pathology': Value('null'), 'probe': Value('null'), 'cost': {'llm_calls': Value('int64'), 'prompt_chars': Value('int64'), 'wall_s': Value('float64')}, 'raw_last_reply': Value('string')}), 'analysis': Value('null'), 'last_receipt': Value('string'), 'followup_qids': List(Value('null')), 'gt_map': Json(decode=True)}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset