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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
files: struct<column_index: string, nodes: string, offsets: string, p2f_adj: string, table_info: string, te (... 11 chars omitted)
  child 0, column_index: string
  child 1, nodes: string
  child 2, offsets: string
  child 3, p2f_adj: string
  child 4, table_info: string
  child 5, text: string
format_version: int64
name: string
num_db_tables: int64
num_nodes: int64
num_task_tables: int64
num_text_strings: int64
source: string
tasks: list<item: struct<entity_table: string, name: string, splits: list<item: string>, target_col: string (... 39 chars omitted)
  child 0, item: struct<entity_table: string, name: string, splits: list<item: string>, target_col: string, task_type (... 27 chars omitted)
      child 0, entity_table: string
      child 1, name: string
      child 2, splits: list<item: string>
          child 0, item: string
      child 3, target_col: string
      child 4, task_type: string
      child 5, time_col: string
text_embeddings: struct<all-MiniLM-L12-v2: struct<file: string, d_text: int64>>
  child 0, all-MiniLM-L12-v2: struct<file: string, d_text: int64>
      child 0, file: string
      child 1, d_text: int64
arXiv_Code of papers: int64
publication_count of author-publication: int64
Category_ID of categories: int64
Paper_ID of paperAuthors: int64
Abstract of papers: int64
ORCID of authors: int64
Author_ID of authors: int64
Author_ID of author-publication: int64
Submission_Date of paperAuthors: int64
Submission_Date of papers: int64
Category of categories: int64
date of author-publication: int64
Paper_ID of citations: int64
Author_ID of paperAuthors: int64
Paper_ID of paperCategories: int64
Submission_Date of citations: int64
Primary_Category_ID of papers: int64
Name of authors: int64
DOI of papers: int64
Title of papers: int64
References_Paper_ID of citations: int64
Category_ID of paperCategories: int64
Paper_ID of paper-citation: int64
Paper_ID of papers: int64
cited of paper-citation: int64
date of paper-citation: int64
Submission_Date of paperCategories: int64
to
{'References_Paper_ID of citations': Value('int64'), 'Category_ID of categories': Value('int64'), 'Category of categories': Value('int64'), 'date of author-publication': Value('int64'), 'Paper_ID of paperAuthors': Value('int64'), 'Author_ID of paperAuthors': Value('int64'), 'Author_ID of author-publication': Value('int64'), 'ORCID of authors': Value('int64'), 'arXiv_Code of papers': Value('int64'), 'Paper_ID of paperCategories': Value('int64'), 'Submission_Date of papers': Value('int64'), 'DOI of papers': Value('int64'), 'Name of authors': Value('int64'), 'Author_ID of authors': Value('int64'), 'Paper_ID of papers': Value('int64'), 'Submission_Date of citations': Value('int64'), 'Title of papers': Value('int64'), 'cited of paper-citation': Value('int64'), 'publication_count of author-publication': Value('int64'), 'Category_ID of paperCategories': Value('int64'), 'Abstract of papers': Value('int64'), 'Submission_Date of paperCategories': Value('int64'), 'Paper_ID of citations': Value('int64'), 'Primary_Category_ID of papers': Value('int64'), 'date of paper-citation': Value('int64'), 'Paper_ID of paper-citation': Value('int64'), 'Submission_Date of paperAuthors': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              files: struct<column_index: string, nodes: string, offsets: string, p2f_adj: string, table_info: string, te (... 11 chars omitted)
                child 0, column_index: string
                child 1, nodes: string
                child 2, offsets: string
                child 3, p2f_adj: string
                child 4, table_info: string
                child 5, text: string
              format_version: int64
              name: string
              num_db_tables: int64
              num_nodes: int64
              num_task_tables: int64
              num_text_strings: int64
              source: string
              tasks: list<item: struct<entity_table: string, name: string, splits: list<item: string>, target_col: string (... 39 chars omitted)
                child 0, item: struct<entity_table: string, name: string, splits: list<item: string>, target_col: string, task_type (... 27 chars omitted)
                    child 0, entity_table: string
                    child 1, name: string
                    child 2, splits: list<item: string>
                        child 0, item: string
                    child 3, target_col: string
                    child 4, task_type: string
                    child 5, time_col: string
              text_embeddings: struct<all-MiniLM-L12-v2: struct<file: string, d_text: int64>>
                child 0, all-MiniLM-L12-v2: struct<file: string, d_text: int64>
                    child 0, file: string
                    child 1, d_text: int64
              arXiv_Code of papers: int64
              publication_count of author-publication: int64
              Category_ID of categories: int64
              Paper_ID of paperAuthors: int64
              Abstract of papers: int64
              ORCID of authors: int64
              Author_ID of authors: int64
              Author_ID of author-publication: int64
              Submission_Date of paperAuthors: int64
              Submission_Date of papers: int64
              Category of categories: int64
              date of author-publication: int64
              Paper_ID of citations: int64
              Author_ID of paperAuthors: int64
              Paper_ID of paperCategories: int64
              Submission_Date of citations: int64
              Primary_Category_ID of papers: int64
              Name of authors: int64
              DOI of papers: int64
              Title of papers: int64
              References_Paper_ID of citations: int64
              Category_ID of paperCategories: int64
              Paper_ID of paper-citation: int64
              Paper_ID of papers: int64
              cited of paper-citation: int64
              date of paper-citation: int64
              Submission_Date of paperCategories: int64
              to
              {'References_Paper_ID of citations': Value('int64'), 'Category_ID of categories': Value('int64'), 'Category of categories': Value('int64'), 'date of author-publication': Value('int64'), 'Paper_ID of paperAuthors': Value('int64'), 'Author_ID of paperAuthors': Value('int64'), 'Author_ID of author-publication': Value('int64'), 'ORCID of authors': Value('int64'), 'arXiv_Code of papers': Value('int64'), 'Paper_ID of paperCategories': Value('int64'), 'Submission_Date of papers': Value('int64'), 'DOI of papers': Value('int64'), 'Name of authors': Value('int64'), 'Author_ID of authors': Value('int64'), 'Paper_ID of papers': Value('int64'), 'Submission_Date of citations': Value('int64'), 'Title of papers': Value('int64'), 'cited of paper-citation': Value('int64'), 'publication_count of author-publication': Value('int64'), 'Category_ID of paperCategories': Value('int64'), 'Abstract of papers': Value('int64'), 'Submission_Date of paperCategories': Value('int64'), 'Paper_ID of citations': Value('int64'), 'Primary_Category_ID of papers': Value('int64'), 'date of paper-citation': Value('int64'), 'Paper_ID of paper-citation': Value('int64'), 'Submission_Date of paperAuthors': Value('int64')}
              because column names don't match

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steer-rtj-data

Preprocessed rel-arxiv and rel-ratebeer for RT-J, derived from stanford-star/relbench-v2-extra (CC BY-SA 4.0), so shared under CC BY-SA 4.0. The other six RelBench databases for RT-J are hosted by the RT-J authors at stanford-star/relbench-preprocessed. Cite RelBench and the RT-J paper.

Part of STEER: STEER: Reducing Inference Cost in Relational Foundation Models through Semantically Informed Sampling (Mohamed and Aboulnaga, arXiv:2610.00907).

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