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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
common_id: string
source: string
records: list<item: struct<id: string, common_id: string, language: string, url: string, title: null, size: int64, page_count: int64, entities: list<item: extension<arrow.json>>, vector: list<item: double>>>
vs
common_id: string
source: string
records: list<item: struct<id: string, common_id: string, language: string, url: string, title: string, size: int64, page_count: int64, entities: list<item: extension<arrow.json>>, vector: list<item: double>>>
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 764, in write_table
self.write_rows_on_file() # in case there are buffered rows to write first
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/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 6319, in pyarrow.lib.concat_tables
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
common_id: string
source: string
records: list<item: struct<id: string, common_id: string, language: string, url: string, title: null, size: int64, page_count: int64, entities: list<item: extension<arrow.json>>, vector: list<item: double>>>
vs
common_id: string
source: string
records: list<item: struct<id: string, common_id: string, language: string, url: string, title: string, size: int64, page_count: int64, entities: list<item: extension<arrow.json>>, vector: list<item: double>>>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1821, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 781, in finalize
self.write_rows_on_file()
File "/usr/local/lib/python3.12/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 6319, in pyarrow.lib.concat_tables
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
common_id: string
source: string
records: list<item: struct<id: string, common_id: string, language: string, url: string, title: null, size: int64, page_count: int64, entities: list<item: extension<arrow.json>>, vector: list<item: double>>>
vs
common_id: string
source: string
records: list<item: struct<id: string, common_id: string, language: string, url: string, title: string, size: int64, page_count: int64, entities: list<item: extension<arrow.json>>, vector: list<item: double>>>
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 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
common_id string | source string | records list |
|---|---|---|
01_Harvey_CMCG10000004_OFFE00260698 | huawei | [
{
"id": "e8bebe5b-636a-4b27-99fc-a69ee7b68ed4",
"common_id": "01_Harvey_CMCG10000004_OFFE00260698",
"language": "de",
"url": "https://consumer-tkbdownload.huawei.com/ctkbfm/servlet/download/downloadServlet/H4sIAAAAAAAAAD2QXWuDMBiF_4rkagM73pgPza4aq9JSNnbRsutoXmdYpyWNHe3Yf5-O0suHczg8nB8yntDvLkckz4SSmN... |
UM920354-ENGLISH-WINDOWS-10-LENOVO-FACTORY-RECOVERY-USB-KEY-PUBLET-THINKPAD-AND-THINKCENTRE | lenovo | [
{
"id": "39a5e006-b3d0-447d-a6b7-42c659501358",
"common_id": "UM920354-ENGLISH-WINDOWS-10-LENOVO-FACTORY-RECOVERY-USB-KEY-PUBLET-THINKPAD-AND-THINKCENTRE",
"language": "de",
"url": "https://download.lenovo.com/pccbbs/mobiles_pdf/win10_rusb_publet_de_sp40m55682.pdf",
"title": "(German) Windows 10... |
"UM101399-ENGLISH-SAFETY-WARRANTY-AND-SETUP-GUIDE-THINKPAD-11E-20ED-20EE-20E6-20E8-YOGA-11E-20E5-20E(...TRUNCATED) | lenovo | [{"id":"06175580-546e-4e83-a542-51cb119e8603","common_id":"UM101399-ENGLISH-SAFETY-WARRANTY-AND-SETU(...TRUNCATED) |
"UM020843-ENGLISH-SAFETY-WARRANTY-AND-SETUP-GUIDE-THINKPAD-11E-TYPE-20D9-20DA-YOGA-11E-TYPE-20D9-20D(...TRUNCATED) | lenovo | [{"id":"09c8a5a1-25d3-48de-9d5c-e8e75c2edda7","common_id":"UM020843-ENGLISH-SAFETY-WARRANTY-AND-SETU(...TRUNCATED) |
D002078708 | philips | [{"id":"de5e661f-21c6-4e21-a260-5f0b512f9483","common_id":"D002078708","language":"de","url":"https:(...TRUNCATED) |
6K9272 | philips | [{"id":"370b50f8-6f54-41bf-8f31-c596adc98f4e","common_id":"6K9272","language":"de","url":"https://ww(...TRUNCATED) |
Philips | philips | [{"id":"6228bd41-6f6c-4d93-8570-0c2f6dbe6444","common_id":"Philips","language":"de","url":"https://w(...TRUNCATED) |
D001932724 | philips | [{"id":"a54baf5e-6404-433c-8b6f-cdce972ca128","common_id":"D001932724","language":"de","url":"https:(...TRUNCATED) |
My | philips | [{"id":"ce8c1664-aab3-410e-91c0-d77a0749ceee","common_id":"My","language":"de","url":"https://www.do(...TRUNCATED) |
d288051b-9fb6-44f7-8561-162861d2ce41 | toyota | [{"id":"555f58cb-b63b-4790-a14e-583f4f4cbc1f","common_id":"d288051b-9fb6-44f7-8561-162861d2ce41","la(...TRUNCATED) |
End of preview.
ForMaT
ForMaT (Format-Preserving Multilingual Translation) is a multilingual parallel corpus of 3,956 PDF documents for layout-aware and multimodal machine translation research.
The dataset preserves original PDF structure and layout metadata, enabling evaluation of translation systems that jointly model textual and visual information. It covers 15 language pairs involving English, German, Spanish, French, Italian, and Polish.
Features
- Original PDF layout preservation
- Bounding boxes and geometric metadata
- Complex structures such as:
- tables
- formulas
- captions
- multi-column layouts
- Document-level parallel translations
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