Datasets:

---

yakdoli

/

gwanbo-ocr-handoff

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
bbox_norm: list<item: int64>
  child 0, item: int64
crop_index: null
date: timestamp[s]
document_id: string
duration_s: double
error: null
finish_reason: string
input_image_sha256: string
ocr_json_path: string
ocr_markdown_path: string
ocr_unit_type: string
output_chars: int64
page_index_zero_based: int64
page_number: int64
period_bucket: string
position_label: string
source_collection: string
status: string
unit_index: int64
usage: struct<completion_tokens: int64, completion_tokens_details: null, prompt_tokens: int64, prompt_token (... 37 chars omitted)
  child 0, completion_tokens: int64
  child 1, completion_tokens_details: null
  child 2, prompt_tokens: int64
  child 3, prompt_tokens_details: null
  child 4, total_tokens: int64
year: int64
source_page_count: int64
toc_id: string
theme: string
source_collection_rules: list<item: struct<period_bucket: string, source_collection: string, year_end: int64, year_start: int (... 4 chars omitted)
  child 0, item: struct<period_bucket: string, source_collection: string, year_end: int64, year_start: int64>
      child 0, period_bucket: string
      child 1, source_collection: string
      child 2, year_end: int64
      child 3, year_start: int64
page_count: int64
category: string
date_compact: string
source_pdf_path: string
source_metadata_path: string
content_id: string
agency: string
search_key: null
ocr_engine: string
ocr_unit_count: int64
rendered_page_dir: string
correction_status: string
source_pdf_sha256: string
ocr_pipeline: string
render_dpi: int64
ocr_settings: struct<denoise: bool, enable_thinking: bool, layout: string, max_tokens: int64, ocr_mode: string, oc (... 113 chars omitted)
  child 0, denoise: bool
  child 1, enable_thinking: bool
  child 2, layout: string
  child 3, max_tokens: int64
  child 4, ocr_mode: string
  child 5, ocr_unit_type: string
  child 6, presence_penalty: double
  child 7, temperature: double
  child 8, top_k: int64
  child 9, top_p: double
  child 10, upscale: double
source_url: string
created_at: string
title: string
crop_count: int64
source_pdf_size_bytes: int64
ocr_model: string
throughput: struct<completion_tokens: int64, crops_per_sec: int64, ocr_duration_s: double, pages_per_sec: double (... 95 chars omitted)
  child 0, completion_tokens: int64
  child 1, crops_per_sec: int64
  child 2, ocr_duration_s: double
  child 3, pages_per_sec: double
  child 4, prompt_tokens: int64
  child 5, request_concurrency: int64
  child 6, total_tokens: int64
  child 7, units_per_sec: double
viewer_path: string
render_max_pages: null
to
{'agency': Value('string'), 'category': Value('string'), 'content_id': Value('string'), 'correction_status': Value('string'), 'created_at': Value('string'), 'crop_count': Value('int64'), 'date': Value('timestamp[s]'), 'date_compact': Value('string'), 'document_id': Value('string'), 'ocr_engine': Value('string'), 'ocr_markdown_path': Value('string'), 'ocr_model': Value('string'), 'ocr_pipeline': Value('string'), 'ocr_settings': {'denoise': Value('bool'), 'enable_thinking': Value('bool'), 'layout': Value('string'), 'max_tokens': Value('int64'), 'ocr_mode': Value('string'), 'ocr_unit_type': Value('string'), 'presence_penalty': Value('float64'), 'temperature': Value('float64'), 'top_k': Value('int64'), 'top_p': Value('float64'), 'upscale': Value('float64')}, 'ocr_unit_count': Value('int64'), 'page_count': Value('int64'), 'period_bucket': Value('string'), 'render_dpi': Value('int64'), 'render_max_pages': Value('null'), 'rendered_page_dir': Value('string'), 'search_key': Value('null'), 'source_collection': Value('string'), 'source_collection_rules': List({'period_bucket': Value('string'), 'source_collection': Value('string'), 'year_end': Value('int64'), 'year_start': Value('int64')}), 'source_metadata_path': Value('string'), 'source_page_count': Value('int64'), 'source_pdf_path': Value('string'), 'source_pdf_sha256': Value('string'), 'source_pdf_size_bytes': Value('int64'), 'source_url': Value('string'), 'theme': Value('string'), 'throughput': {'completion_tokens': Value('int64'), 'crops_per_sec': Value('int64'), 'ocr_duration_s': Value('float64'), 'pages_per_sec': Value('float64'), 'prompt_tokens': Value('int64'), 'request_concurrency': Value('int64'), 'total_tokens': Value('int64'), 'units_per_sec': Value('float64')}, 'title': Value('string'), 'toc_id': Value('string'), 'viewer_path': Value('string'), 'year': 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 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, 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 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, 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 299, 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 128, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              bbox_norm: list<item: int64>
                child 0, item: int64
              crop_index: null
              date: timestamp[s]
              document_id: string
              duration_s: double
              error: null
              finish_reason: string
              input_image_sha256: string
              ocr_json_path: string
              ocr_markdown_path: string
              ocr_unit_type: string
              output_chars: int64
              page_index_zero_based: int64
              page_number: int64
              period_bucket: string
              position_label: string
              source_collection: string
              status: string
              unit_index: int64
              usage: struct<completion_tokens: int64, completion_tokens_details: null, prompt_tokens: int64, prompt_token (... 37 chars omitted)
                child 0, completion_tokens: int64
                child 1, completion_tokens_details: null
                child 2, prompt_tokens: int64
                child 3, prompt_tokens_details: null
                child 4, total_tokens: int64
              year: int64
              source_page_count: int64
              toc_id: string
              theme: string
              source_collection_rules: list<item: struct<period_bucket: string, source_collection: string, year_end: int64, year_start: int (... 4 chars omitted)
                child 0, item: struct<period_bucket: string, source_collection: string, year_end: int64, year_start: int64>
                    child 0, period_bucket: string
                    child 1, source_collection: string
                    child 2, year_end: int64
                    child 3, year_start: int64
              page_count: int64
              category: string
              date_compact: string
              source_pdf_path: string
              source_metadata_path: string
              content_id: string
              agency: string
              search_key: null
              ocr_engine: string
              ocr_unit_count: int64
              rendered_page_dir: string
              correction_status: string
              source_pdf_sha256: string
              ocr_pipeline: string
              render_dpi: int64
              ocr_settings: struct<denoise: bool, enable_thinking: bool, layout: string, max_tokens: int64, ocr_mode: string, oc (... 113 chars omitted)
                child 0, denoise: bool
                child 1, enable_thinking: bool
                child 2, layout: string
                child 3, max_tokens: int64
                child 4, ocr_mode: string
                child 5, ocr_unit_type: string
                child 6, presence_penalty: double
                child 7, temperature: double
                child 8, top_k: int64
                child 9, top_p: double
                child 10, upscale: double
              source_url: string
              created_at: string
              title: string
              crop_count: int64
              source_pdf_size_bytes: int64
              ocr_model: string
              throughput: struct<completion_tokens: int64, crops_per_sec: int64, ocr_duration_s: double, pages_per_sec: double (... 95 chars omitted)
                child 0, completion_tokens: int64
                child 1, crops_per_sec: int64
                child 2, ocr_duration_s: double
                child 3, pages_per_sec: double
                child 4, prompt_tokens: int64
                child 5, request_concurrency: int64
                child 6, total_tokens: int64
                child 7, units_per_sec: double
              viewer_path: string
              render_max_pages: null
              to
              {'agency': Value('string'), 'category': Value('string'), 'content_id': Value('string'), 'correction_status': Value('string'), 'created_at': Value('string'), 'crop_count': Value('int64'), 'date': Value('timestamp[s]'), 'date_compact': Value('string'), 'document_id': Value('string'), 'ocr_engine': Value('string'), 'ocr_markdown_path': Value('string'), 'ocr_model': Value('string'), 'ocr_pipeline': Value('string'), 'ocr_settings': {'denoise': Value('bool'), 'enable_thinking': Value('bool'), 'layout': Value('string'), 'max_tokens': Value('int64'), 'ocr_mode': Value('string'), 'ocr_unit_type': Value('string'), 'presence_penalty': Value('float64'), 'temperature': Value('float64'), 'top_k': Value('int64'), 'top_p': Value('float64'), 'upscale': Value('float64')}, 'ocr_unit_count': Value('int64'), 'page_count': Value('int64'), 'period_bucket': Value('string'), 'render_dpi': Value('int64'), 'render_max_pages': Value('null'), 'rendered_page_dir': Value('string'), 'search_key': Value('null'), 'source_collection': Value('string'), 'source_collection_rules': List({'period_bucket': Value('string'), 'source_collection': Value('string'), 'year_end': Value('int64'), 'year_start': Value('int64')}), 'source_metadata_path': Value('string'), 'source_page_count': Value('int64'), 'source_pdf_path': Value('string'), 'source_pdf_sha256': Value('string'), 'source_pdf_size_bytes': Value('int64'), 'source_url': Value('string'), 'theme': Value('string'), 'throughput': {'completion_tokens': Value('int64'), 'crops_per_sec': Value('int64'), 'ocr_duration_s': Value('float64'), 'pages_per_sec': Value('float64'), 'prompt_tokens': Value('int64'), 'request_concurrency': Value('int64'), 'total_tokens': Value('int64'), 'units_per_sec': Value('float64')}, 'title': Value('string'), 'toc_id': Value('string'), 'viewer_path': Value('string'), 'year': Value('int64')}
              because column names don't match