Datasets:

---

ahmedheakl

/

ocr-sohail

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
entities: struct<10: list<item: struct<doc_id: string, page_id: string, page_num: int64, entity_category: int64, bbox: struct<x: int64, y: int64, width: int64, height: int64>, id: string, area: int64>>, 11: list<item: struct<doc_id: string, page_id: string, page_num: int64, entity_category: int64, bbox: struct<x: int64, y: int64, width: int64, height: int64>, id: string, area: int64>>, 28: list<item: null>, 29: list<item: null>>
metadata: struct<page_id: string, url: null, url_hash: string, crawl_id: string, sources_shard_id: string, annotated_shard_id: string, filename: string, pdf_word_count: int64, languages_fasttext: struct<__label__hu: double, __label__eo: double, __label__ko: double, __label__en: double, __label__jv: double>, top_lang: string, top_lang_score: double, page_height: int64, page_width: int64, page_number: int64, num_title: int64, num_heading_1: int64, num_heading_2: int64, num_heading_3: int64, num_heading_4: int64, num_heading_5: int64, num_heading_6: int64, num_heading_7: int64, num_heading_8: int64, num_heading_9: int64, num_text: int64, num_list: int64, num_header: int64, num_footer: int64, num_table_header: int64, num_table_header_cell: int64, num_table: int64, num_table_cell: int64, num_toc: int64, num_bibliography: int64, num_quote: int64, num_equation: int64, num_figure: int64, num_table_caption: int64, num_footnote: int64, num_annotation: int64, num_form_field: int64, num_form_tag: int64, num_table_row: int64, num_table_column: int64, num_table_header_row: int64>
vs
entities: struct<10: list<item: struct<doc_id: string, page_id: string, page_num: int64, entity_category: int64, bbox: struct<x: int64, y: int64, width: int64, height: int64>, id: string, area: int64>>, 11: list<item: struct<doc_id: string, page_id: string, page_num: int64, entity_category: int64, bbox: struct<x: int64, y: int64, width: int64, height: int64>, id: string, area: int64>>, 28: list<item: null>, 29: list<item: null>>
metadata: struct<page_id: string, url: null, url_hash: string, crawl_id: string, sources_shard_id: string, annotated_shard_id: string, filename: string, pdf_word_count: int64, languages_fasttext: struct<__label__hu: double, __label__eo: double, __label__id: double, __label__sk: double, __label__pt: double>, top_lang: string, top_lang_score: double, page_height: int64, page_width: int64, page_number: int64, num_title: int64, num_heading_1: int64, num_heading_2: int64, num_heading_3: int64, num_heading_4: int64, num_heading_5: int64, num_heading_6: int64, num_heading_7: int64, num_heading_8: int64, num_heading_9: int64, num_text: int64, num_list: int64, num_header: int64, num_footer: int64, num_table_header: int64, num_table_header_cell: int64, num_table: int64, num_table_cell: int64, num_toc: int64, num_bibliography: int64, num_quote: int64, num_equation: int64, num_figure: int64, num_table_caption: int64, num_footnote: int64, num_annotation: int64, num_form_field: int64, num_form_tag: int64, num_table_row: int64, num_table_column: int64, num_table_header_row: int64>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3357, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2111, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2315, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 504, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              entities: struct<10: list<item: struct<doc_id: string, page_id: string, page_num: int64, entity_category: int64, bbox: struct<x: int64, y: int64, width: int64, height: int64>, id: string, area: int64>>, 11: list<item: struct<doc_id: string, page_id: string, page_num: int64, entity_category: int64, bbox: struct<x: int64, y: int64, width: int64, height: int64>, id: string, area: int64>>, 28: list<item: null>, 29: list<item: null>>
              metadata: struct<page_id: string, url: null, url_hash: string, crawl_id: string, sources_shard_id: string, annotated_shard_id: string, filename: string, pdf_word_count: int64, languages_fasttext: struct<__label__hu: double, __label__eo: double, __label__ko: double, __label__en: double, __label__jv: double>, top_lang: string, top_lang_score: double, page_height: int64, page_width: int64, page_number: int64, num_title: int64, num_heading_1: int64, num_heading_2: int64, num_heading_3: int64, num_heading_4: int64, num_heading_5: int64, num_heading_6: int64, num_heading_7: int64, num_heading_8: int64, num_heading_9: int64, num_text: int64, num_list: int64, num_header: int64, num_footer: int64, num_table_header: int64, num_table_header_cell: int64, num_table: int64, num_table_cell: int64, num_toc: int64, num_bibliography: int64, num_quote: int64, num_equation: int64, num_figure: int64, num_table_caption: int64, num_footnote: int64, num_annotation: int64, num_form_field: int64, num_form_tag: int64, num_table_row: int64, num_table_column: int64, num_table_header_row: int64>
              vs
              entities: struct<10: list<item: struct<doc_id: string, page_id: string, page_num: int64, entity_category: int64, bbox: struct<x: int64, y: int64, width: int64, height: int64>, id: string, area: int64>>, 11: list<item: struct<doc_id: string, page_id: string, page_num: int64, entity_category: int64, bbox: struct<x: int64, y: int64, width: int64, height: int64>, id: string, area: int64>>, 28: list<item: null>, 29: list<item: null>>
              metadata: struct<page_id: string, url: null, url_hash: string, crawl_id: string, sources_shard_id: string, annotated_shard_id: string, filename: string, pdf_word_count: int64, languages_fasttext: struct<__label__hu: double, __label__eo: double, __label__id: double, __label__sk: double, __label__pt: double>, top_lang: string, top_lang_score: double, page_height: int64, page_width: int64, page_number: int64, num_title: int64, num_heading_1: int64, num_heading_2: int64, num_heading_3: int64, num_heading_4: int64, num_heading_5: int64, num_heading_6: int64, num_heading_7: int64, num_heading_8: int64, num_heading_9: int64, num_text: int64, num_list: int64, num_header: int64, num_footer: int64, num_table_header: int64, num_table_header_cell: int64, num_table: int64, num_table_cell: int64, num_toc: int64, num_bibliography: int64, num_quote: int64, num_equation: int64, num_figure: int64, num_table_caption: int64, num_footnote: int64, num_annotation: int64, num_form_field: int64, num_form_tag: int64, num_table_row: int64, num_table_column: int64, num_table_header_row: int64>