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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
bountyId: string
generatedAt: string
acceptedItems: int64
sponsorExamples: list<item: struct<id: string, filename: string, contentType: string, checksumSha256: string, created (... 12 chars omitted)
  child 0, item: struct<id: string, filename: string, contentType: string, checksumSha256: string, createdAt: string>
      child 0, id: string
      child 1, filename: string
      child 2, contentType: string
      child 3, checksumSha256: string
      child 4, createdAt: string
contributorItems: list<item: struct<id: string, title: string, createdAt: string, provisional: bool, attachments: list (... 14 chars omitted)
  child 0, item: struct<id: string, title: string, createdAt: string, provisional: bool, attachments: list<item: null (... 2 chars omitted)
      child 0, id: string
      child 1, title: string
      child 2, createdAt: string
      child 3, provisional: bool
      child 4, attachments: list<item: null>
          child 0, item: null
fileAttachments: struct<declaredFileFields: int64, resolvedCount: int64>
  child 0, declaredFileFields: int64
  child 1, resolvedCount: int64
contributors: struct<credited: list<item: string>, anonymizedCount: int64>
  child 0, credited: list<item: string>
      child 0, item: string
  child 1, anonymizedCount: int64
verification: struct<acceptedContributorItems: int64, declaredPipeline: list<item: string>, stages: list<item: str (... 324 chars omitted)
  child 0, acceptedContributorItems: int64
  child 1, declaredPipeline: list<item: string>
      child 0, item: string
  child 2, stages: list<item: struct<stage: string, declared: bool, itemsWithEvidence: int64, itemsMissingEvidence: int (... 105 chars omitted)
      child 0, item: struct<stage: string, declared: bool, itemsWithEvidence: int64, itemsMissingEvidence: int64, itemsPa (... 93 chars omitted)
          child 0, stage: string
          child 1, declared: bool
          child 2, itemsWithEvidence: int64
          child 3, itemsMissingEvidence: int64
          child 4, itemsPassed: int64
          child 5, itemsFailed: int64
          child 6, itemsUnconfigured: int64
          child 7, verifiedForAllAcceptedItems: bool
  child 3, executionDeclared: bool
  child 4, executionVerified: bool
  child 5, unverifiedStages: list<item: string>
      child 0, item: string
  child 6, auditMode: string
  child 7, auditCoveragePct: int64
license: struct<tier: string, licenseType: string, resaleHoldDays: int64, resaleEligibleAt: null, resaleEligi (... 33 chars omitted)
  child 0, tier: string
  child 1, licenseType: string
  child 2, resaleHoldDays: int64
  child 3, resaleEligibleAt: null
  child 4, resaleEligible: bool
  child 5, resaleRoyalty: string
submissionId: string
acceptedAt: string
validationAttempt: int64
payload: struct<code: string, input: string, language: string, predicted_output: string>
  child 0, code: string
  child 1, input: string
  child 2, language: string
  child 3, predicted_output: string
generationMethod: string
title: string
to
{'submissionId': Value('string'), 'validationAttempt': Value('int64'), 'acceptedAt': Value('string'), 'title': Value('string'), 'generationMethod': Value('string'), 'payload': {'code': Value('string'), 'input': Value('string'), 'language': Value('string'), 'predicted_output': Value('string')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              bountyId: string
              generatedAt: string
              acceptedItems: int64
              sponsorExamples: list<item: struct<id: string, filename: string, contentType: string, checksumSha256: string, created (... 12 chars omitted)
                child 0, item: struct<id: string, filename: string, contentType: string, checksumSha256: string, createdAt: string>
                    child 0, id: string
                    child 1, filename: string
                    child 2, contentType: string
                    child 3, checksumSha256: string
                    child 4, createdAt: string
              contributorItems: list<item: struct<id: string, title: string, createdAt: string, provisional: bool, attachments: list (... 14 chars omitted)
                child 0, item: struct<id: string, title: string, createdAt: string, provisional: bool, attachments: list<item: null (... 2 chars omitted)
                    child 0, id: string
                    child 1, title: string
                    child 2, createdAt: string
                    child 3, provisional: bool
                    child 4, attachments: list<item: null>
                        child 0, item: null
              fileAttachments: struct<declaredFileFields: int64, resolvedCount: int64>
                child 0, declaredFileFields: int64
                child 1, resolvedCount: int64
              contributors: struct<credited: list<item: string>, anonymizedCount: int64>
                child 0, credited: list<item: string>
                    child 0, item: string
                child 1, anonymizedCount: int64
              verification: struct<acceptedContributorItems: int64, declaredPipeline: list<item: string>, stages: list<item: str (... 324 chars omitted)
                child 0, acceptedContributorItems: int64
                child 1, declaredPipeline: list<item: string>
                    child 0, item: string
                child 2, stages: list<item: struct<stage: string, declared: bool, itemsWithEvidence: int64, itemsMissingEvidence: int (... 105 chars omitted)
                    child 0, item: struct<stage: string, declared: bool, itemsWithEvidence: int64, itemsMissingEvidence: int64, itemsPa (... 93 chars omitted)
                        child 0, stage: string
                        child 1, declared: bool
                        child 2, itemsWithEvidence: int64
                        child 3, itemsMissingEvidence: int64
                        child 4, itemsPassed: int64
                        child 5, itemsFailed: int64
                        child 6, itemsUnconfigured: int64
                        child 7, verifiedForAllAcceptedItems: bool
                child 3, executionDeclared: bool
                child 4, executionVerified: bool
                child 5, unverifiedStages: list<item: string>
                    child 0, item: string
                child 6, auditMode: string
                child 7, auditCoveragePct: int64
              license: struct<tier: string, licenseType: string, resaleHoldDays: int64, resaleEligibleAt: null, resaleEligi (... 33 chars omitted)
                child 0, tier: string
                child 1, licenseType: string
                child 2, resaleHoldDays: int64
                child 3, resaleEligibleAt: null
                child 4, resaleEligible: bool
                child 5, resaleRoyalty: string
              submissionId: string
              acceptedAt: string
              validationAttempt: int64
              payload: struct<code: string, input: string, language: string, predicted_output: string>
                child 0, code: string
                child 1, input: string
                child 2, language: string
                child 3, predicted_output: string
              generationMethod: string
              title: string
              to
              {'submissionId': Value('string'), 'validationAttempt': Value('int64'), 'acceptedAt': Value('string'), 'title': Value('string'), 'generationMethod': Value('string'), 'payload': {'code': Value('string'), 'input': Value('string'), 'language': Value('string'), 'predicted_output': Value('string')}}
              because column names don't match

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Python Execution Trace & Output Prediction

Self-contained Python programs paired with a concrete function call and the exact runtime output. Include realistic control flow, collections, exceptions, and standard-library behavior; exclude external network, filesystem, secrets, personal data, and copied benchmark examples.

About

This dataset was produced by the DataBounty community and published here as part of an open, karma-only program.

  • Accepted items: 48
  • Language: Python
  • Framework: Community
  • License: CC-BY-4.0

Contributors

  • @benam2k
  • @odysseus

Files

  • data/items.jsonl — the accepted dataset items (one JSON object per line).
  • manifest.json — machine-readable provenance, license, and credit metadata.
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