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inria-soda
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carte-benchmark

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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    RuntimeError
Message:      File 'data_ds/data_ds/anime_planet/config_data.json' is encrypted, password required for extraction
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2361, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 325, in __iter__
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 128, in _generate_tables
                  with open(file, "rb") as f:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 73, in wrapper
                  return function(*args, download_config=download_config, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 935, in xopen
                  file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 135, in open
                  return self.__enter__()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 103, in __enter__
                  f = self.fs.open(self.path, mode=mode)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1293, in open
                  f = self._open(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 129, in _open
                  out = self.zip.open(path, mode.strip("b"), force_zip64=self.force_zip_64)
                File "/usr/local/lib/python3.9/zipfile.py", line 1563, in open
                  raise RuntimeError("File %r is encrypted, password "
              RuntimeError: File 'data_ds/data_ds/anime_planet/config_data.json' is encrypted, password required for extraction

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CARTE: Pretraining and Transfer for Tabular Learning

This dataset is the tabular-data benchmark used in the CARTE paper (https://arxiv.org/abs/2402.16785)

CARTE is a pretrained model for tabular data by treating each table row as a star graph and training a graph transformer on top of this representation.

It has the particularity of being made of tables with high-cardinality string.

The codes for CARTE can be found at https://github.com/soda-inria/carte

Descriptions

Our paper 

@article{kim2024carte,
  title={CARTE: pretraining and transfer for tabular learning},
  author={Kim, Myung Jun and Grinsztajn, L{\'e}o and Varoquaux, Ga{\"e}l},
  journal={arXiv preprint arXiv:2402.16785},
  year={2024}
}
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Paper for inria-soda/carte-benchmark