Datasets:

---

ErenAta00

/

turkish-phishsoc-50k

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
label: string
attack_vector: string
risk_level: string
cognitive_vector: list<item: string>
  child 0, item: string
context_input: struct<sender: struct<first: string, last: string, name: string, role: string, department: string>,  (... 257 chars omitted)
  child 0, sender: struct<first: string, last: string, name: string, role: string, department: string>
      child 0, first: string
      child 1, last: string
      child 2, name: string
      child 3, role: string
      child 4, department: string
  child 1, recipient: struct<first: string, last: string, name: string, role: string, department: string>
      child 0, first: string
      child 1, last: string
      child 2, name: string
      child 3, role: string
      child 4, department: string
  child 2, organization: string
  child 3, organization_domain: string
  child 4, sector: string
  child 5, project: string
  child 6, vendor: string
  child 7, event: string
  child 8, style: string
  child 9, synthetic: bool
  child 10, notes: string
style_profile: string
input_text: string
email_surface: struct<subject: string, sender_display: string, sender_email: string, reply_to: string, recipient_em (... 1025 chars omitted)
  child 0, subject: string
  child 1, sender_display: string
  child 2, sender_email: string
  child 3, reply_to: string
  child 4, recipient_email: string
  child 5, return_path: string
  child 6, url_domains: list<item: string>
      child 0, item: string
  child 7, url_features: list<item: struct<displ
...
, promoted_at: string
  child 14, targeted_action_diversified_at: timestamp[s]
  child 15, targeted_action_diversification: string
difficulty_tier: string
gold_minimal_indicators: list<item: string>
  child 0, item: string
distractor_indicators: list<item: string>
  child 0, item: string
temporal_drift_tag: string
linguistic_register: string
typo_pattern: list<item: string>
  child 0, item: string
quality_annotations: struct<difficulty_tier: string, gold_minimal_indicators: list<item: string>, distractor_indicators:  (... 178 chars omitted)
  child 0, difficulty_tier: string
  child 1, gold_minimal_indicators: list<item: string>
      child 0, item: string
  child 2, distractor_indicators: list<item: string>
      child 0, item: string
  child 3, temporal_drift_tag: string
  child 4, linguistic_register: string
  child 5, typo_pattern: list<item: string>
      child 0, item: string
  child 6, annotation_policy: string
  child 7, targeted_action_diversification: string
prompt: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
chosen: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
rejected: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
to
{'prompt': List({'role': Value('string'), 'content': Value('string')}), 'chosen': List({'role': Value('string'), 'content': Value('string')}), 'rejected': List({'role': Value('string'), 'content': 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
              label: string
              attack_vector: string
              risk_level: string
              cognitive_vector: list<item: string>
                child 0, item: string
              context_input: struct<sender: struct<first: string, last: string, name: string, role: string, department: string>,  (... 257 chars omitted)
                child 0, sender: struct<first: string, last: string, name: string, role: string, department: string>
                    child 0, first: string
                    child 1, last: string
                    child 2, name: string
                    child 3, role: string
                    child 4, department: string
                child 1, recipient: struct<first: string, last: string, name: string, role: string, department: string>
                    child 0, first: string
                    child 1, last: string
                    child 2, name: string
                    child 3, role: string
                    child 4, department: string
                child 2, organization: string
                child 3, organization_domain: string
                child 4, sector: string
                child 5, project: string
                child 6, vendor: string
                child 7, event: string
                child 8, style: string
                child 9, synthetic: bool
                child 10, notes: string
              style_profile: string
              input_text: string
              email_surface: struct<subject: string, sender_display: string, sender_email: string, reply_to: string, recipient_em (... 1025 chars omitted)
                child 0, subject: string
                child 1, sender_display: string
                child 2, sender_email: string
                child 3, reply_to: string
                child 4, recipient_email: string
                child 5, return_path: string
                child 6, url_domains: list<item: string>
                    child 0, item: string
                child 7, url_features: list<item: struct<displ
              ...
              , promoted_at: string
                child 14, targeted_action_diversified_at: timestamp[s]
                child 15, targeted_action_diversification: string
              difficulty_tier: string
              gold_minimal_indicators: list<item: string>
                child 0, item: string
              distractor_indicators: list<item: string>
                child 0, item: string
              temporal_drift_tag: string
              linguistic_register: string
              typo_pattern: list<item: string>
                child 0, item: string
              quality_annotations: struct<difficulty_tier: string, gold_minimal_indicators: list<item: string>, distractor_indicators:  (... 178 chars omitted)
                child 0, difficulty_tier: string
                child 1, gold_minimal_indicators: list<item: string>
                    child 0, item: string
                child 2, distractor_indicators: list<item: string>
                    child 0, item: string
                child 3, temporal_drift_tag: string
                child 4, linguistic_register: string
                child 5, typo_pattern: list<item: string>
                    child 0, item: string
                child 6, annotation_policy: string
                child 7, targeted_action_diversification: string
              prompt: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              chosen: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              rejected: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              to
              {'prompt': List({'role': Value('string'), 'content': Value('string')}), 'chosen': List({'role': Value('string'), 'content': Value('string')}), 'rejected': List({'role': Value('string'), 'content': 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