Dataset Viewer
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
cve_id: string
data_type: string
data_version: string
state: string
assigner_short_name: string
date_published: string
date_updated: string
title: string
descriptions: struct<en: string>
  child 0, en: string
problem_types: list<item: struct<type: string, cwe_id: string, description: string>>
  child 0, item: struct<type: string, cwe_id: string, description: string>
      child 0, type: string
      child 1, cwe_id: string
      child 2, description: string
affected_products: list<item: struct<vendor: string, product: string, versions: list<item: struct<status: string, versi (... 14 chars omitted)
  child 0, item: struct<vendor: string, product: string, versions: list<item: struct<status: string, version: string> (... 2 chars omitted)
      child 0, vendor: string
      child 1, product: string
      child 2, versions: list<item: struct<status: string, version: string>>
          child 0, item: struct<status: string, version: string>
              child 0, status: string
              child 1, version: string
metrics: struct<cvssV3_1: struct<version: string, baseScore: double, baseSeverity: string, vectorString: stri (... 4 chars omitted)
  child 0, cvssV3_1: struct<version: string, baseScore: double, baseSeverity: string, vectorString: string>
      child 0, version: string
      child 1, baseScore: double
      child 2, baseSeverity: string
      child 3, vectorString: string
references: list<item: struct<url: string, tags: list<item: string>>>
  child 0, item: struct<url: 
...
ng
                  child 7, userInteraction: string
                  child 8, attackComplexity: string
                  child 9, availabilityImpact: string
                  child 10, privilegesRequired: string
                  child 11, confidentialityImpact: string
              child 1, other: struct<type: string, content: struct<timestamp: string, id: string, options: list<item: struct<Explo (... 141 chars omitted)
                  child 0, type: string
                  child 1, content: struct<timestamp: string, id: string, options: list<item: struct<Exploitation: string, Automatable:  (... 110 chars omitted)
                      child 0, timestamp: string
                      child 1, id: string
                      child 2, options: list<item: struct<Exploitation: string, Automatable: string, Technical Impact: string>>
                          child 0, item: struct<Exploitation: string, Automatable: string, Technical Impact: string>
                              child 0, Exploitation: string
                              child 1, Automatable: string
                              child 2, Technical Impact: string
                      child 3, role: string
                      child 4, version: string
                      child 5, dateAdded: timestamp[s]
                      child 6, reference: string
elapsed_seconds: double
workers: int64
total_cves_processed: int64
total_errors: int64
output_files: list<item: string>
  child 0, item: string
chunks: int64
to
{'total_cves_processed': Value('int64'), 'total_errors': Value('int64'), 'elapsed_seconds': Value('float64'), 'workers': Value('int64'), 'chunks': Value('int64'), 'output_files': List(Value('string'))}
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
              cve_id: string
              data_type: string
              data_version: string
              state: string
              assigner_short_name: string
              date_published: string
              date_updated: string
              title: string
              descriptions: struct<en: string>
                child 0, en: string
              problem_types: list<item: struct<type: string, cwe_id: string, description: string>>
                child 0, item: struct<type: string, cwe_id: string, description: string>
                    child 0, type: string
                    child 1, cwe_id: string
                    child 2, description: string
              affected_products: list<item: struct<vendor: string, product: string, versions: list<item: struct<status: string, versi (... 14 chars omitted)
                child 0, item: struct<vendor: string, product: string, versions: list<item: struct<status: string, version: string> (... 2 chars omitted)
                    child 0, vendor: string
                    child 1, product: string
                    child 2, versions: list<item: struct<status: string, version: string>>
                        child 0, item: struct<status: string, version: string>
                            child 0, status: string
                            child 1, version: string
              metrics: struct<cvssV3_1: struct<version: string, baseScore: double, baseSeverity: string, vectorString: stri (... 4 chars omitted)
                child 0, cvssV3_1: struct<version: string, baseScore: double, baseSeverity: string, vectorString: string>
                    child 0, version: string
                    child 1, baseScore: double
                    child 2, baseSeverity: string
                    child 3, vectorString: string
              references: list<item: struct<url: string, tags: list<item: string>>>
                child 0, item: struct<url: 
              ...
              ng
                                child 7, userInteraction: string
                                child 8, attackComplexity: string
                                child 9, availabilityImpact: string
                                child 10, privilegesRequired: string
                                child 11, confidentialityImpact: string
                            child 1, other: struct<type: string, content: struct<timestamp: string, id: string, options: list<item: struct<Explo (... 141 chars omitted)
                                child 0, type: string
                                child 1, content: struct<timestamp: string, id: string, options: list<item: struct<Exploitation: string, Automatable:  (... 110 chars omitted)
                                    child 0, timestamp: string
                                    child 1, id: string
                                    child 2, options: list<item: struct<Exploitation: string, Automatable: string, Technical Impact: string>>
                                        child 0, item: struct<Exploitation: string, Automatable: string, Technical Impact: string>
                                            child 0, Exploitation: string
                                            child 1, Automatable: string
                                            child 2, Technical Impact: string
                                    child 3, role: string
                                    child 4, version: string
                                    child 5, dateAdded: timestamp[s]
                                    child 6, reference: string
              elapsed_seconds: double
              workers: int64
              total_cves_processed: int64
              total_errors: int64
              output_files: list<item: string>
                child 0, item: string
              chunks: int64
              to
              {'total_cves_processed': Value('int64'), 'total_errors': Value('int64'), 'elapsed_seconds': Value('float64'), 'workers': Value('int64'), 'chunks': Value('int64'), 'output_files': List(Value('string'))}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

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