Datasets:

---

Vidushee

/

paper-review-benchmark

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
arxiv_id: large_string
title: large_string
abstract: large_string
authors: large_string
categories: large_string
primary_category: large_string
published: large_string
parsed_paper: large_string
human_reviews: list<element: string>
  child 0, element: string
n_reviews: int64
pdf_url: large_string
pdf_filename: large_string
-- schema metadata --
huggingface: '{"info": {"features": {"arxiv_id": {"dtype": "large_string"' + 686
to
{'arxiv_id': Value('large_string'), 'title': Value('large_string'), 'abstract': Value('large_string'), 'authors': Value('large_string'), 'categories': Value('large_string'), 'primary_category': Value('large_string'), 'published': Value('large_string'), 'parsed_paper': Value('large_string'), 'human_reviews': List(Value('string')), 'pdf_url': Value('large_string'), 'pdf_bytes': Value('binary'), 'n_reviews': Value('int64')}
because column names don't match
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 "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 209, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 147, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              arxiv_id: large_string
              title: large_string
              abstract: large_string
              authors: large_string
              categories: large_string
              primary_category: large_string
              published: large_string
              parsed_paper: large_string
              human_reviews: list<element: string>
                child 0, element: string
              n_reviews: int64
              pdf_url: large_string
              pdf_filename: large_string
              -- schema metadata --
              huggingface: '{"info": {"features": {"arxiv_id": {"dtype": "large_string"' + 686
              to
              {'arxiv_id': Value('large_string'), 'title': Value('large_string'), 'abstract': Value('large_string'), 'authors': Value('large_string'), 'categories': Value('large_string'), 'primary_category': Value('large_string'), 'published': Value('large_string'), 'parsed_paper': Value('large_string'), 'human_reviews': List(Value('string')), 'pdf_url': Value('large_string'), 'pdf_bytes': Value('binary'), 'n_reviews': Value('int64')}
              because column names don't match