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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
raw_link: string
title: string
context: string
source: string
source_record_id: string
source_url: string
record_type: string
source_license: string
license_note: string
published_date: string
description: string
numeric_mentions: list<item: string>
  child 0, item: string
numeric_evidence: list<item: struct<title: string, source_url: string, file_type: string, sheets: list<item: struct<sh (... 167 chars omitted)
  child 0, item: struct<title: string, source_url: string, file_type: string, sheets: list<item: struct<sheet_name: s (... 155 chars omitted)
      child 0, title: string
      child 1, source_url: string
      child 2, file_type: string
      child 3, sheets: list<item: struct<sheet_name: string, sample_rows: list<item: list<item: string>>, sample_row_count: (... 36 chars omitted)
          child 0, item: struct<sheet_name: string, sample_rows: list<item: list<item: string>>, sample_row_count: int64, sam (... 24 chars omitted)
              child 0, sheet_name: string
              child 1, sample_rows: list<item: list<item: string>>
                  child 0, item: list<item: string>
                      child 0, item: string
              child 2, sample_row_count: int64
              child 3, sample_column_count: int64
      child 4, sheet_count_total: int64
      child 5, sampling_note: string
task_hint: string
attachments: list<item: null>
  child 0, item: null
domain: string
subdomain: string
matched_subdomain_folder: string
record_id: string
total_records: int64
record_counts_by_folder: struct<analysis_result_summary_ons_statistical_bulletins_numeric_data: int64, analysis_result_summar (... 36 chars omitted)
  child 0, analysis_result_summary_ons_statistical_bulletins_numeric_data: int64
  child 1, analysis_result_summary_owid_articles_numeric_data: int64
sources: list<item: struct<source: string, url: string, terms_url: string, license: string, faq_url: string,  (... 27 chars omitted)
  child 0, item: struct<source: string, url: string, terms_url: string, license: string, faq_url: string, chart_api_d (... 15 chars omitted)
      child 0, source: string
      child 1, url: string
      child 2, terms_url: string
      child 3, license: string
      child 4, faq_url: string
      child 5, chart_api_doc_url: string
collection_limits: struct<max_ons_records: int64, max_owid_records: int64, max_numeric_sources_per_record: int64, max_r (... 86 chars omitted)
  child 0, max_ons_records: int64
  child 1, max_owid_records: int64
  child 2, max_numeric_sources_per_record: int64
  child 3, max_rows_per_numeric_source: int64
  child 4, max_sheets_per_excel: int64
  child 5, max_download_bytes: int64
record_counts_by_source: struct<Office for National Statistics analysis and statistical bulletins: int64, Our World in Data a (... 41 chars omitted)
  child 0, Office for National Statistics analysis and statistical bulletins: int64
  child 1, Our World in Data articles with Grapher numeric data: int64
to
{'domain': Value('string'), 'subdomain': Value('string'), 'total_records': Value('int64'), 'record_counts_by_folder': {'analysis_result_summary_ons_statistical_bulletins_numeric_data': Value('int64'), 'analysis_result_summary_owid_articles_numeric_data': Value('int64')}, 'record_counts_by_source': {'Office for National Statistics analysis and statistical bulletins': Value('int64'), 'Our World in Data articles with Grapher numeric data': Value('int64')}, 'collection_limits': {'max_ons_records': Value('int64'), 'max_owid_records': Value('int64'), 'max_numeric_sources_per_record': Value('int64'), 'max_rows_per_numeric_source': Value('int64'), 'max_sheets_per_excel': Value('int64'), 'max_download_bytes': Value('int64')}, 'sources': List({'source': Value('string'), 'url': Value('string'), 'terms_url': Value('string'), 'license': Value('string'), 'faq_url': Value('string'), 'chart_api_doc_url': Value('string')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 478, 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
              raw_link: string
              title: string
              context: string
              source: string
              source_record_id: string
              source_url: string
              record_type: string
              source_license: string
              license_note: string
              published_date: string
              description: string
              numeric_mentions: list<item: string>
                child 0, item: string
              numeric_evidence: list<item: struct<title: string, source_url: string, file_type: string, sheets: list<item: struct<sh (... 167 chars omitted)
                child 0, item: struct<title: string, source_url: string, file_type: string, sheets: list<item: struct<sheet_name: s (... 155 chars omitted)
                    child 0, title: string
                    child 1, source_url: string
                    child 2, file_type: string
                    child 3, sheets: list<item: struct<sheet_name: string, sample_rows: list<item: list<item: string>>, sample_row_count: (... 36 chars omitted)
                        child 0, item: struct<sheet_name: string, sample_rows: list<item: list<item: string>>, sample_row_count: int64, sam (... 24 chars omitted)
                            child 0, sheet_name: string
                            child 1, sample_rows: list<item: list<item: string>>
                                child 0, item: list<item: string>
                                    child 0, item: string
                            child 2, sample_row_count: int64
                            child 3, sample_column_count: int64
                    child 4, sheet_count_total: int64
                    child 5, sampling_note: string
              task_hint: string
              attachments: list<item: null>
                child 0, item: null
              domain: string
              subdomain: string
              matched_subdomain_folder: string
              record_id: string
              total_records: int64
              record_counts_by_folder: struct<analysis_result_summary_ons_statistical_bulletins_numeric_data: int64, analysis_result_summar (... 36 chars omitted)
                child 0, analysis_result_summary_ons_statistical_bulletins_numeric_data: int64
                child 1, analysis_result_summary_owid_articles_numeric_data: int64
              sources: list<item: struct<source: string, url: string, terms_url: string, license: string, faq_url: string,  (... 27 chars omitted)
                child 0, item: struct<source: string, url: string, terms_url: string, license: string, faq_url: string, chart_api_d (... 15 chars omitted)
                    child 0, source: string
                    child 1, url: string
                    child 2, terms_url: string
                    child 3, license: string
                    child 4, faq_url: string
                    child 5, chart_api_doc_url: string
              collection_limits: struct<max_ons_records: int64, max_owid_records: int64, max_numeric_sources_per_record: int64, max_r (... 86 chars omitted)
                child 0, max_ons_records: int64
                child 1, max_owid_records: int64
                child 2, max_numeric_sources_per_record: int64
                child 3, max_rows_per_numeric_source: int64
                child 4, max_sheets_per_excel: int64
                child 5, max_download_bytes: int64
              record_counts_by_source: struct<Office for National Statistics analysis and statistical bulletins: int64, Our World in Data a (... 41 chars omitted)
                child 0, Office for National Statistics analysis and statistical bulletins: int64
                child 1, Our World in Data articles with Grapher numeric data: int64
              to
              {'domain': Value('string'), 'subdomain': Value('string'), 'total_records': Value('int64'), 'record_counts_by_folder': {'analysis_result_summary_ons_statistical_bulletins_numeric_data': Value('int64'), 'analysis_result_summary_owid_articles_numeric_data': Value('int64')}, 'record_counts_by_source': {'Office for National Statistics analysis and statistical bulletins': Value('int64'), 'Our World in Data articles with Grapher numeric data': Value('int64')}, 'collection_limits': {'max_ons_records': Value('int64'), 'max_owid_records': Value('int64'), 'max_numeric_sources_per_record': Value('int64'), 'max_rows_per_numeric_source': Value('int64'), 'max_sheets_per_excel': Value('int64'), 'max_download_bytes': Value('int64')}, 'sources': List({'source': Value('string'), 'url': Value('string'), 'terms_url': Value('string'), 'license': Value('string'), 'faq_url': Value('string'), 'chart_api_doc_url': Value('string')})}
              because column names don't match

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data

Table/CSV/JSON conversion benchmark sources normalized as metadata JSON.

Folders

  • table_csv_json_conversion_gittables_benchmark: 표/CSV/JSON 변환, 1101 records
  • table_csv_json_conversion_wdc_webtables_sample: 표/CSV/JSON 변환, 9275 records

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