Datasets:

---

prof-freakenstein

/

SIH2025

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
problems: list<item: struct<s_no: int64, organization: string, title: string, category: string, ps_number: string, submitted_ideas_count: int64, theme: string, problem_description: string>>
vs
problems: list<item: struct<s_no: int64, organization: string, title: string, category: string, ps_number: string, submitted_ideas_count: int64, theme: string, details: struct<introduction: string, background: string, expected_solution: string, digital_tourist_id_generation_platform: string, mobile_application_for_tourists: string, ai-based_anomaly_detection: string, tourism_department_&_police_dashboard: string, iot_integration_optional: string, multilingual_support: string, data_privacy_&_security: string, description: string, problem_description: string, expected_outcomes: string, impact___why_this_problem_needs_to_be_solved: string, relevant_stakeholders___beneficiaries: string, supporting_data: string, impact: string, objective: string, technical_scope: string, key_performance_parameters: string, eligibility: string, evaluation_criteria: string, deliverables: string, conclusion: string, key_features: string, innovative_features: 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 543, 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: 
              problems: list<item: struct<s_no: int64, organization: string, title: string, category: string, ps_number: string, submitted_ideas_count: int64, theme: string, problem_description: string>>
              vs
              problems: list<item: struct<s_no: int64, organization: string, title: string, category: string, ps_number: string, submitted_ideas_count: int64, theme: string, details: struct<introduction: string, background: string, expected_solution: string, digital_tourist_id_generation_platform: string, mobile_application_for_tourists: string, ai-based_anomaly_detection: string, tourism_department_&_police_dashboard: string, iot_integration_optional: string, multilingual_support: string, data_privacy_&_security: string, description: string, problem_description: string, expected_outcomes: string, impact___why_this_problem_needs_to_be_solved: string, relevant_stakeholders___beneficiaries: string, supporting_data: string, impact: string, objective: string, technical_scope: string, key_performance_parameters: string, eligibility: string, evaluation_criteria: string, deliverables: string, conclusion: string, key_features: string, innovative_features: string>>>