Datasets:

---

kzfastino

/

EAbench

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
config: struct<requirement_type: string, count: int64, generate_distractors: bool, coordinated_generation: bool, world_model_min_relationships: int64, world_model_max_relationships: int64, world_model_min_team_size: int64, world_model_max_team_size: int64, world_model_num_actions: int64>
results: struct<num_personas: int64, total_requirements: int64, requirement_type: string, total_distractors: int64, total_true_positives: int64>
duration: double
timestamp: string
vs
persona: struct<name: string, occupation: string, location: string, about: string>
world_model: struct<persona_id: string, persona_full_name: string, persona_email: string, persona_occupation: string, persona_about: string, relationships: list<item: struct<name: string, type: string, department: string, relationship_context: string>>, personal_context: struct<work_style: string, communication_preferences: list<item: string>, current_priorities: list<item: string>, pain_points: list<item: string>>, available_actions: list<item: struct<id: string, type: string, description: string, constraints: list<item: null>, params_schema: struct<type: string, properties: struct<participants: struct<type: string, items: struct<type: string>>, subject: struct<type: string>, description: struct<type: string>, duration_minutes: struct<type: string>, to: struct<type: string, items: struct<type: string>>, body: struct<type: string>>, required: list<item: string>>>>, organizational_structure: struct<company_name: string, department: string, team_size: int64, reporting_to: string, key_meetings: list<item: string>>>
requirements: list<item: struct<requirement: struct<description: string, searchable_artifacts: list<item: null>, min_tasks: int64, max_tasks: int64>, requirement_type: string, checklist: struct<required_steps: list<item: struct<checklist_idx: string, step_type: string, description: string, success_criteria: struct<expected_sources: list<item: null>, optional: bool, weight: double, required_items: list<item: string>, workflow_description: string, min_tasks: int64, max_tasks: int64, quality_dimensions: struct<specificity: string, executability: string, independence: string, appropriateness: string>, expected_tasks: list<item: struct<action: string, parameters: struct<to: list<item: string>, subject: string, body: string, participants: list<item: string>, description: string, duration_minutes: int64>, reason: string>>>, evidence_required: list<item: string>, previous_action_idx: string>>, checklist_id: string, description: string>, true_positives: list<item: struct<id: string, type: string, payload: struct<subject: string, sender: string, to: list<item: string>, cc: list<item: string>, timestamp: timestamp[s], body: string, title: string, start_time: timestamp[s], end_time: timestamp[s], location: string, attendees: list<item: string>, description: string>, metadata: struct<bottleneck_evidence: bool, evidence_role: string, unified_coordinated_generation: bool, document_role: string, task_index: int64>, created_at: string, updated_at: null, tags: list<item: null>>>>>
distractors: list<item: struct<id: string, type: string, payload: struct<subject: string, sender: string, to: list<item: string>, cc: list<item: string>, timestamp: timestamp[s], body: string, title: string, start_time: timestamp[s], end_time: timestamp[s], location: string, attendees: list<item: string>, description: string>, metadata: struct<is_distractor: bool, why_not_satisfy: string>, created_at: string, updated_at: null, tags: list<item: null>>>
metadata: struct<num_requirements: int64, requirement_type: string, num_distractors: int64, total_true_positives: int64, timestamp: string>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 527, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              config: struct<requirement_type: string, count: int64, generate_distractors: bool, coordinated_generation: bool, world_model_min_relationships: int64, world_model_max_relationships: int64, world_model_min_team_size: int64, world_model_max_team_size: int64, world_model_num_actions: int64>
              results: struct<num_personas: int64, total_requirements: int64, requirement_type: string, total_distractors: int64, total_true_positives: int64>
              duration: double
              timestamp: string
              vs
              persona: struct<name: string, occupation: string, location: string, about: string>
              world_model: struct<persona_id: string, persona_full_name: string, persona_email: string, persona_occupation: string, persona_about: string, relationships: list<item: struct<name: string, type: string, department: string, relationship_context: string>>, personal_context: struct<work_style: string, communication_preferences: list<item: string>, current_priorities: list<item: string>, pain_points: list<item: string>>, available_actions: list<item: struct<id: string, type: string, description: string, constraints: list<item: null>, params_schema: struct<type: string, properties: struct<participants: struct<type: string, items: struct<type: string>>, subject: struct<type: string>, description: struct<type: string>, duration_minutes: struct<type: string>, to: struct<type: string, items: struct<type: string>>, body: struct<type: string>>, required: list<item: string>>>>, organizational_structure: struct<company_name: string, department: string, team_size: int64, reporting_to: string, key_meetings: list<item: string>>>
              requirements: list<item: struct<requirement: struct<description: string, searchable_artifacts: list<item: null>, min_tasks: int64, max_tasks: int64>, requirement_type: string, checklist: struct<required_steps: list<item: struct<checklist_idx: string, step_type: string, description: string, success_criteria: struct<expected_sources: list<item: null>, optional: bool, weight: double, required_items: list<item: string>, workflow_description: string, min_tasks: int64, max_tasks: int64, quality_dimensions: struct<specificity: string, executability: string, independence: string, appropriateness: string>, expected_tasks: list<item: struct<action: string, parameters: struct<to: list<item: string>, subject: string, body: string, participants: list<item: string>, description: string, duration_minutes: int64>, reason: string>>>, evidence_required: list<item: string>, previous_action_idx: string>>, checklist_id: string, description: string>, true_positives: list<item: struct<id: string, type: string, payload: struct<subject: string, sender: string, to: list<item: string>, cc: list<item: string>, timestamp: timestamp[s], body: string, title: string, start_time: timestamp[s], end_time: timestamp[s], location: string, attendees: list<item: string>, description: string>, metadata: struct<bottleneck_evidence: bool, evidence_role: string, unified_coordinated_generation: bool, document_role: string, task_index: int64>, created_at: string, updated_at: null, tags: list<item: null>>>>>
              distractors: list<item: struct<id: string, type: string, payload: struct<subject: string, sender: string, to: list<item: string>, cc: list<item: string>, timestamp: timestamp[s], body: string, title: string, start_time: timestamp[s], end_time: timestamp[s], location: string, attendees: list<item: string>, description: string>, metadata: struct<is_distractor: bool, why_not_satisfy: string>, created_at: string, updated_at: null, tags: list<item: null>>>
              metadata: struct<num_requirements: int64, requirement_type: string, num_distractors: int64, total_true_positives: int64, timestamp: string>