Datasets:

---

Geraldine

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uv-scripts

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
dataset: string
split: string
api_base: string
embedding_model: string
documents_evaluated: int64
person_requests_total: int64
request_errors: int64
evaluated: int64
metrics: struct<accepted_decisions: int64, accepted_correct: int64, accepted_accuracy_over_evaluated_pct: dou (... 206 chars omitted)
  child 0, accepted_decisions: int64
  child 1, accepted_correct: int64
  child 2, accepted_accuracy_over_evaluated_pct: double
  child 3, top1_correct: int64
  child 4, top1_accuracy_pct: double
  child 5, topk_correct_(gold_in_candidates): int64
  child 6, candidate_recall_pct: double
  child 7, accepted_precision_pct: double
  child 8, accepted_recall_pct: double
  child 9, accepted_f1: double
status_breakdown: struct<accepted: int64, low_confidence: int64, ambiguous: int64, not_found: int64, error: int64>
  child 0, accepted: int64
  child 1, low_confidence: int64
  child 2, ambiguous: int64
  child 3, not_found: int64
  child 4, error: int64
case_id: string
name: string
base_id: string
gold_ppn: string
top1_correct: bool
status: string
gold_rank: int64
row_index: int64
best_ppn: string
candidate_ppns: list<item: string>
  child 0, item: string
accepted_correct: bool
error: string
top1_score: double
top1_ppn: string
topk_correct: bool
to
{'row_index': Value('int64'), 'case_id': Value('string'), 'base_id': Value('string'), 'name': Value('string'), 'gold_ppn': Value('string'), 'status': Value('string'), 'best_ppn': Value('string'), 'top1_ppn': Value('string'), 'top1_score': Value('float64'), 'candidate_ppns': List(Value('string')), 'gold_rank': Value('int64'), 'accepted_correct': Value('bool'), 'top1_correct': Value('bool'), 'topk_correct': Value('bool'), 'error': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, 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 130, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              dataset: string
              split: string
              api_base: string
              embedding_model: string
              documents_evaluated: int64
              person_requests_total: int64
              request_errors: int64
              evaluated: int64
              metrics: struct<accepted_decisions: int64, accepted_correct: int64, accepted_accuracy_over_evaluated_pct: dou (... 206 chars omitted)
                child 0, accepted_decisions: int64
                child 1, accepted_correct: int64
                child 2, accepted_accuracy_over_evaluated_pct: double
                child 3, top1_correct: int64
                child 4, top1_accuracy_pct: double
                child 5, topk_correct_(gold_in_candidates): int64
                child 6, candidate_recall_pct: double
                child 7, accepted_precision_pct: double
                child 8, accepted_recall_pct: double
                child 9, accepted_f1: double
              status_breakdown: struct<accepted: int64, low_confidence: int64, ambiguous: int64, not_found: int64, error: int64>
                child 0, accepted: int64
                child 1, low_confidence: int64
                child 2, ambiguous: int64
                child 3, not_found: int64
                child 4, error: int64
              case_id: string
              name: string
              base_id: string
              gold_ppn: string
              top1_correct: bool
              status: string
              gold_rank: int64
              row_index: int64
              best_ppn: string
              candidate_ppns: list<item: string>
                child 0, item: string
              accepted_correct: bool
              error: string
              top1_score: double
              top1_ppn: string
              topk_correct: bool
              to
              {'row_index': Value('int64'), 'case_id': Value('string'), 'base_id': Value('string'), 'name': Value('string'), 'gold_ppn': Value('string'), 'status': Value('string'), 'best_ppn': Value('string'), 'top1_ppn': Value('string'), 'top1_score': Value('float64'), 'candidate_ppns': List(Value('string')), 'gold_rank': Value('int64'), 'accepted_correct': Value('bool'), 'top1_correct': Value('bool'), 'topk_correct': Value('bool'), 'error': Value('string')}
              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 1348, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 890, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 951, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1869, 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