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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
pages: list<item: struct<page_id: string, render: string, render_sha256: string, family: string, source_pdf_sha256: string, physical_page: int64>>
vs
run_id: string
model_id: string
upstream_revision: string
pipeline_version: string
input: string
pages: list<item: struct<page_id: string, pdf: string, status: string, regions: int64, result_shape: struct<type: string, keys: list<item: string>, attrs: list<item: string>, md_chars: int64, layout_pages: int64>, chars: int64, open_table_tags: int64, close_table_tags: int64, structure_lost: bool, seconds: double>>
completed: int64
failed: int64
structure_lost: int64
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 662, in write_rows_on_file
                  table = pa.concat_tables(self.current_rows)
                File "pyarrow/table.pxi", line 6320, in pyarrow.lib.concat_tables
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              pages: list<item: struct<page_id: string, render: string, render_sha256: string, family: string, source_pdf_sha256: string, physical_page: int64>>
              vs
              run_id: string
              model_id: string
              upstream_revision: string
              pipeline_version: string
              input: string
              pages: list<item: struct<page_id: string, pdf: string, status: string, regions: int64, result_shape: struct<type: string, keys: list<item: string>, attrs: list<item: string>, md_chars: int64, layout_pages: int64>, chars: int64, open_table_tags: int64, close_table_tags: int64, structure_lost: bool, seconds: double>>
              completed: int64
              failed: int64
              structure_lost: int64
              
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/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

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page_id
string
pdf
string
physical_page
int64
source_pdf_sha256
string
page_pdf_sha256
string
LTR:02450567:p000011
LTR_02450567_p000011.pdf
11
c7ebace4c257272c58d2869ad85973df36431003bc1752c5345e1bf7ebbd3c84
10bec6b9b6c69b0b0a42ab3a6baea3abe319ca2ab8cd1e94a5d505a46a1a45a1
LTR:02450567:p000012
LTR_02450567_p000012.pdf
12
c7ebace4c257272c58d2869ad85973df36431003bc1752c5345e1bf7ebbd3c84
4b185fa83e3f90d45ad08380d17e741bd23b4a635ff3f3bf432daf8e7e68b104
DVP:02032502:p000024
DVP_02032502_p000024.pdf
24
ee688adb426e9dee9da921bc65760d5a91b028576ca04dd5026a9e7eaa9d7f95
972fdabe5d2e74ef5b1dab8faf939e4f2efde9673c843e188a14e57ba743969a
DVP:02032502:p000022
DVP_02032502_p000022.pdf
22
ee688adb426e9dee9da921bc65760d5a91b028576ca04dd5026a9e7eaa9d7f95
8b635eabe3b15bebe21d6f8a3bcf0cbbe854a5f24a13741a339dbf4e0d8cf9d8
ARR:02786490:p000011
ARR_02786490_p000011.pdf
11
4107773d5b834835e5edcb6b73644d9e5a0d4ad2d4c261d62f0132e8b11e1558
ba9c521552f108537fead9231efed0249c7e7b9153a52db9f723976ead837a0e
ARR:02786490:p000009
ARR_02786490_p000009.pdf
9
4107773d5b834835e5edcb6b73644d9e5a0d4ad2d4c261d62f0132e8b11e1558
6c0a0e81fa1c7e5db4964ead6cc23b56ce936f6ae8a1484a38b2017cb09d971c
TGN:03028223:p000004
TGN_03028223_p000004.pdf
4
8688f4c1d2dadc784a31254c4653c463ca3d2fd55a8b2f2cc44c84ef53a8699c
8bad57dd1fecd33873af9693ae5ad5927c54ff705c16c25ad060cec08a6edabb
TGN:03028223:p000003
TGN_03028223_p000003.pdf
3
8688f4c1d2dadc784a31254c4653c463ca3d2fd55a8b2f2cc44c84ef53a8699c
9cc3d8767e85ba6c49e78f7127852dd8577af34ff1def032ae62ebfa773889a2
FEX:03044595:p000005
FEX_03044595_p000005.pdf
5
f2998ba021e41fdeb167b3a10e3f0b6f19bf9a7a99b6220ff9409b0082ec33a8
d334bf674d67439404474125cf63351837be1e195a37f3a5efd8d8748fafb151
FEX:03044595:p000031
FEX_03044595_p000031.pdf
31
f2998ba021e41fdeb167b3a10e3f0b6f19bf9a7a99b6220ff9409b0082ec33a8
da2a5320fad54aa2af9dc646b6760ea0a0313997a76ae022c527a18e2a97f18b
CZR:02723491:p000002
CZR_02723491_p000002.pdf
2
5b9d11d22079402828d3ca466d43a01877cc82507d1399dd2c4a1f3dd00d60e1
2b0f13cd86562132560aa0a0afbc4502cf00ed94c299fbc1aef714d3227e95c2
CZR:02723491:p000068
CZR_02723491_p000068.pdf
68
5b9d11d22079402828d3ca466d43a01877cc82507d1399dd2c4a1f3dd00d60e1
f801deee781c60185ac37f063bd1d1ebb420c8199b1373adb3433788508b234c
INF:02136517:p000019
INF_02136517_p000019.pdf
19
899aa1c457e3f92780b4dcb6ec2142a529e6f24713a84bc0308d5f80d82f3746
e0daee6e7f60b11725747bdd11f7c87ff148d270da839b446a2713dd4aa782a8
INF:02136517:p000004
INF_02136517_p000004.pdf
4
899aa1c457e3f92780b4dcb6ec2142a529e6f24713a84bc0308d5f80d82f3746
ae03c3e987d89afdaeec9811117a14ff86537900c8ca8a7678c948f2c04c7edc
EVN:03082662:p000011
EVN_03082662_p000011.pdf
11
6fb02284c691a3ffb0e3e2db248fcaba20716eae5aa89e15e9a4ffce6e73e8fe
8570532d8c252eb5d5e3612b8e30837da3b89e923d57b0d18023eaf86795bfa6
RMS:03087304:p000006
RMS_03087304_p000006.pdf
6
3d5000d8b455043b33ba70b04d33ab9708cfd2eedd359f86afd49ce5946edb6e
e9427bc366d9ec3e5c90ce21f7ec927b0851c4db02ffd61bbf103d349e9b9902
PLS:03085811:p000008
PLS_03085811_p000008.pdf
8
6e7173c2db52dbb1a66ccaf0388637fc5801efe53fc3c882fa41949676cc7d8e
955408ee4ebf9add2e1ebd0e6c1dbdd8c2224e23a1dba64a5f7bb4fa18cc2402
PRU:02907805:p000006
PRU_02907805_p000006.pdf
6
8f273afd7d22a68c28167704b3ad1932ee3c410239af4ee802fccb776ea2c408
3058c2c07f8aa1c9b47323c41e458ff8fd7b4a3b9af2f66a0f5f2ca4e5de9dad
IGO:03053686:p000004
IGO_03053686_p000004.pdf
4
a574c90deca1d1fbb939cc2db370c8e883e8c134123711ee6d9bf0091078599c
ca3d71dde03a00c632dd5f5e5dcd96a24243421beedf40d282d09987aa9550ac
RRL:02970826:p000004
RRL_02970826_p000004.pdf
4
1725bc7bd751cd39cf560c9c9d638ec49c959949c493eae786c2cb41d56c36be
abd81d18709aa06079e156177cb18c4773871e87cd8b948466ef54e887e1c209
SFR:02874084:p000001
SFR_02874084_p000001.pdf
1
bbf2d1e171400cc177002b27c07e736a89aa06091a33d965d588ca01c5056257
46707aff55a9d4d63b0bcbf95772b0bde459a64b191bb50c19e1a0184bd89e27
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