Datasets:

---

zkaedi

/

ORACLE_HEX

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
contract: string
score: int64
tier: string
findings: list<item: struct<id: string, severity: string, weight: int64, desc: string>>
  child 0, item: struct<id: string, severity: string, weight: int64, desc: string>
      child 0, id: string
      child 1, severity: string
      child 2, weight: int64
      child 3, desc: string
oracle_verdict: string
oracle_confidence: double
oracle_finding: string
oracle_pattern: string
oracle_reasoning: string
reasoning_dup: bool
ex05_fired: bool
rule11_triggered: bool
rule12_flagged: bool
guard_detected: bool
ground_truth: string
run_id: string
no_fold: bool
ts: string
rule_scores: struct<RULE-01: double, RULE-02: double, RULE-03: double, RULE-04: double, RULE-05: double, RULE-06: (... 110 chars omitted)
  child 0, RULE-01: double
  child 1, RULE-02: double
  child 2, RULE-03: double
  child 3, RULE-04: double
  child 4, RULE-05: double
  child 5, RULE-06: double
  child 6, RULE-07: double
  child 7, RULE-08: double
  child 8, RULE-09: double
  child 9, RULE-10: double
  child 10, RULE-11: double
  child 11, RULE-12: double
H0: double
H_final: double
lyapunov: double
convergence_mode: string
prime_params: struct<eta: double, gamma: double, beta: double, eps: double>
  child 0, eta: double
  child 1, gamma: double
  child 2, beta: double
  child 3, eps: double
version: string
generated_at: string
top_rule_by_legendary: string
contract_count: int64
faiss_index_size_bytes: int64
tier_counts: struct<LEGENDARY: int64, EPIC: int64, RARE: int64, UNCOMMON: int64, COMMON: int64>
  child 0, LEGENDARY: int64
  child 1, EPIC: int64
  child 2, RARE: int64
  child 3, UNCOMMON: int64
  child 4, COMMON: int64
pythonhashseed: int64
to
{'version': Value('string'), 'contract_count': Value('int64'), 'prime_params': {'eta': Value('float64'), 'gamma': Value('float64'), 'beta': Value('float64'), 'eps': Value('float64')}, 'tier_counts': {'LEGENDARY': Value('int64'), 'EPIC': Value('int64'), 'RARE': Value('int64'), 'UNCOMMON': Value('int64'), 'COMMON': Value('int64')}, 'top_rule_by_legendary': Value('string'), 'faiss_index_size_bytes': Value('int64'), 'generated_at': Value('string'), 'pythonhashseed': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/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
              contract: string
              score: int64
              tier: string
              findings: list<item: struct<id: string, severity: string, weight: int64, desc: string>>
                child 0, item: struct<id: string, severity: string, weight: int64, desc: string>
                    child 0, id: string
                    child 1, severity: string
                    child 2, weight: int64
                    child 3, desc: string
              oracle_verdict: string
              oracle_confidence: double
              oracle_finding: string
              oracle_pattern: string
              oracle_reasoning: string
              reasoning_dup: bool
              ex05_fired: bool
              rule11_triggered: bool
              rule12_flagged: bool
              guard_detected: bool
              ground_truth: string
              run_id: string
              no_fold: bool
              ts: string
              rule_scores: struct<RULE-01: double, RULE-02: double, RULE-03: double, RULE-04: double, RULE-05: double, RULE-06: (... 110 chars omitted)
                child 0, RULE-01: double
                child 1, RULE-02: double
                child 2, RULE-03: double
                child 3, RULE-04: double
                child 4, RULE-05: double
                child 5, RULE-06: double
                child 6, RULE-07: double
                child 7, RULE-08: double
                child 8, RULE-09: double
                child 9, RULE-10: double
                child 10, RULE-11: double
                child 11, RULE-12: double
              H0: double
              H_final: double
              lyapunov: double
              convergence_mode: string
              prime_params: struct<eta: double, gamma: double, beta: double, eps: double>
                child 0, eta: double
                child 1, gamma: double
                child 2, beta: double
                child 3, eps: double
              version: string
              generated_at: string
              top_rule_by_legendary: string
              contract_count: int64
              faiss_index_size_bytes: int64
              tier_counts: struct<LEGENDARY: int64, EPIC: int64, RARE: int64, UNCOMMON: int64, COMMON: int64>
                child 0, LEGENDARY: int64
                child 1, EPIC: int64
                child 2, RARE: int64
                child 3, UNCOMMON: int64
                child 4, COMMON: int64
              pythonhashseed: int64
              to
              {'version': Value('string'), 'contract_count': Value('int64'), 'prime_params': {'eta': Value('float64'), 'gamma': Value('float64'), 'beta': Value('float64'), 'eps': Value('float64')}, 'tier_counts': {'LEGENDARY': Value('int64'), 'EPIC': Value('int64'), 'RARE': Value('int64'), 'UNCOMMON': Value('int64'), 'COMMON': Value('int64')}, 'top_rule_by_legendary': Value('string'), 'faiss_index_size_bytes': Value('int64'), 'generated_at': Value('string'), 'pythonhashseed': Value('int64')}
              because column names don't match