Datasets:

lmms-lab-eval
/

repcounta-lance

Error code:   StreamingRowsError
Exception:    ArrowInvalid
Message:      Failed casting from large_binary to binary: input array too large
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 2543, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2083, 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 544, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 383, 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/lance/lance.py", line 230, in _generate_tables
                  yield Key(frag_idx, batch_idx), self._cast_table(table)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/lance/lance.py", line 187, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2224, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1995, in cast_array_to_feature
                  return feature.cast_storage(array)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/video.py", line 262, in cast_storage
                  storage = array_cast(
                            ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1949, in array_cast
                  return array.cast(pa_type)
                         ^^^^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 1135, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.12/site-packages/pyarrow/compute.py", line 412, in cast
                  return call_function("cast", [arr], options, memory_pool)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                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: Failed casting from large_binary to binary: input array too large

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

RepCountA (Lance)

This repository contains RepCountA/LLSP split data in Lance format.

Dataset Contents

This package stores train/validation/test as Lance splits under data/*.lance.
Each row includes metadata and an embedded video_blob.

Schema

video_id - stem id (without extension)
source_name - original file name from annotation CSV
split - one of train, validation, test
action_type - action category
count - repetition count annotation
cycle_bounds_json - JSON array of boundary frame markers from L1..L302
video_ext - file extension
video_size_bytes - media file size
video_blob - raw media bytes

Notes

This package is built from local archive RepCountA.tar.gz (LLSP structure).

Countix Compatibility Subset

For internal compatibility use, this repository provides a Countix-compatible subset alias based on the full RepCountA package:

countix_compat_all = union of train + validation + test (all rows, no filtering)
Total rows: 1041
Manifest: subsets/countix_compat_all.tsv
Video IDs only: subsets/countix_compat_video_ids.tsv
QA-ready TSV: subsets/countix_compat_qa.tsv (includes video_id, count, question, answer, lance_uri)
Validated QA TSV (recommended): subsets/countix_compat_qa_valid.tsv
Invalid QA rows report: subsets/countix_compat_qa_invalid.tsv
QA rows with missing target count: 1 (stu6_44)

Note: this is a compatibility alias for workflow integration and is not the official Countix benchmark release.

Downloads last month: -