SEMv2: Table Separation Line Detection Based on Instance Segmentation
Paper • 2303.04384 • Published
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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
row: list<item: list<item: list<item: int64>>>
child 0, item: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
col: list<item: list<item: list<item: int64>>>
child 0, item: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
line: list<item: list<item: list<item: int64>>>
child 0, item: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
cell: list<item: null>
child 0, item: null
is_wireless: bool
col_count: int64
grid_cells: struct<count: int64, cells: list<item: struct<row: int64, col: int64, bbox: list<item: int64>>>>
child 0, count: int64
child 1, cells: list<item: struct<row: int64, col: int64, bbox: list<item: int64>>>
child 0, item: struct<row: int64, col: int64, bbox: list<item: int64>>
child 0, row: int64
child 1, col: int64
child 2, bbox: list<item: int64>
child 0, item: int64
image_size: list<item: int64>
child 0, item: int64
row_count: int64
to
{'image_size': List(Value('int64')), 'row_count': Value('int64'), 'col_count': Value('int64'), 'grid_cells': {'count': Value('int64'), 'cells': List({'row': Value('int64'), 'col': Value('int64'), 'bbox': List(Value('int64'))})}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
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
row: list<item: list<item: list<item: int64>>>
child 0, item: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
col: list<item: list<item: list<item: int64>>>
child 0, item: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
line: list<item: list<item: list<item: int64>>>
child 0, item: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
cell: list<item: null>
child 0, item: null
is_wireless: bool
col_count: int64
grid_cells: struct<count: int64, cells: list<item: struct<row: int64, col: int64, bbox: list<item: int64>>>>
child 0, count: int64
child 1, cells: list<item: struct<row: int64, col: int64, bbox: list<item: int64>>>
child 0, item: struct<row: int64, col: int64, bbox: list<item: int64>>
child 0, row: int64
child 1, col: int64
child 2, bbox: list<item: int64>
child 0, item: int64
image_size: list<item: int64>
child 0, item: int64
row_count: int64
to
{'image_size': List(Value('int64')), 'row_count': Value('int64'), 'col_count': Value('int64'), 'grid_cells': {'count': Value('int64'), 'cells': List({'row': Value('int64'), 'col': Value('int64'), 'bbox': List(Value('int64'))})}}
because column names don't match
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 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.
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End of preview.
iFLYTAB dataset, taken from this link via this comment
I am NOT the original author, and I am not responsible for any content and quality of this dataset!
As far as I am aware, the iFLYTAB dataset is originally introduced in the SEMv2: Table Separation Line Detection Based on Instance Segmentation paper, so all credit goes to original authors (Zhenrong Zhang and Pengfei Hu and Jiefeng Ma and Jun Du and Jianshu Zhang and Huihui Zhu and Baocai Yin and Bing Yin and Cong Liu). I would like to thank them for making this dataset available.
- The
originalfolder is a complete mirror of the original dataset (at least for thetrainsubset). - The
cellfolder contains my custom-converted data for individual cell detection. Currently thecellfolder does not filter "virtual cells" (that is, cell that logically exist as row intersects column, but there is actually no data/blank; this commonly happens with wireless tables), and does not properly merge cells that span multiple rows/columns. The new version with fixes might be available in the future.
This dataset is helpful, yet hard to find and get. That is why I have mirrored it here, for pure educational and researching purposes. I am not aware of any risks or harm that have been, or might be caused by my action of mirroring it here. However, if there is any inconveniences or issues with my action of mirroring the dataset, please inform me, either via the Community tab of this dataset, or via email, so I can take proper action (for example, complete removal of this mirror).
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