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train

The dataset viewer is not available for this split.

Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
version: string
date: string
task: string
dataset_name: string
modalities: list<item: string>
metadata: struct<source: string, license: string, created_by: string, notes: string>
labels: struct<foul_type: struct<type: string, labels: list<item: string>>, severity: struct<type: string, labels: list<item: string>>, attributes: struct<type: string, labels: list<item: string>>>
data: list<item: null>
vs
version: string
date: timestamp[s]
dataset_name: string
metadata: struct<created_by: string>
task: string
modalities: list<item: string>
labels: struct<foul_type: struct<type: string, labels: list<item: string>>, severity: struct<type: string, labels: list<item: string>>, attributes: struct<type: string, labels: list<item: string>>, color: struct<type: string, labels: list<item: string>>>
data: list<item: struct<id: string, metadata: struct<AnnotationSource: string>, inputs: list<item: struct<type: string, path: string>>, labels: struct<attributes: struct<labels: list<item: string>>, foul_type: struct<label: string>, severity: struct<label: string>, color: struct<label: string>>>>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                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 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 604, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                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: Schema at index 1 was different: 
              version: string
              date: string
              task: string
              dataset_name: string
              modalities: list<item: string>
              metadata: struct<source: string, license: string, created_by: string, notes: string>
              labels: struct<foul_type: struct<type: string, labels: list<item: string>>, severity: struct<type: string, labels: list<item: string>>, attributes: struct<type: string, labels: list<item: string>>>
              data: list<item: null>
              vs
              version: string
              date: timestamp[s]
              dataset_name: string
              metadata: struct<created_by: string>
              task: string
              modalities: list<item: string>
              labels: struct<foul_type: struct<type: string, labels: list<item: string>>, severity: struct<type: string, labels: list<item: string>>, attributes: struct<type: string, labels: list<item: string>>, color: struct<type: string, labels: list<item: string>>>
              data: list<item: struct<id: string, metadata: struct<AnnotationSource: string>, inputs: list<item: struct<type: string, path: string>>, labels: struct<attributes: struct<labels: list<item: string>>, foul_type: struct<label: string>, severity: struct<label: string>, color: struct<label: string>>>>

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.

YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

Download that dataset

from huggingface_hub import snapshot_download
snapshot_download(repo_id="OpenSportsLab/soccernetpro-classification-toyexample", 
                  repo_type="dataset", revision="main",
                  local_dir="soccernetpro-classification-toyexample")

Downloads last month: 33

Error code: FeaturesError Exception: ArrowInvalid Message: Schema at index 1 was different: version: string date: string task: string dataset_name: string modalities: list<item: string> metadata: struct<source: string, license: string, created_by: string, notes: string> labels: struct<foul_type: struct<type: string, labels: list<item: string>>, severity: struct<type: string, labels: list<item: string>>, attributes: struct<type: string, labels: list<item: string>>> data: list<item: null> vs version: string date: timestamp[s] dataset_name: string metadata: struct<created_by: string> task: string modalities: list<item: string> labels: struct<foul_type: struct<type: string, labels: list<item: string>>, severity: struct<type: string, labels: list<item: string>>, attributes: struct<type: string, labels: list<item: string>>, color: struct<type: string, labels: list<item: string>>> data: list<item: struct<id: string, metadata: struct<AnnotationSource: string>, inputs: list<item: struct<type: string, path: string>>, labels: struct<attributes: struct<labels: list<item: string>>, foul_type: struct<label: string>, severity: struct<label: string>, color: struct<label: string>>>> Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response iterable_dataset = iterable_dataset._resolve_features() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features features = _infer_features_from_batch(self.with_format(None)._head()) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head return next(iter(self.iter(batch_size=n))) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter for key, example in iterator: ^^^^^^^^ 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 2082, in _iter_arrow yield from self.ex_iterable._iter_arrow() File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 604, in _iter_arrow yield new_key, pa.Table.from_batches(chunks_buffer) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches 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: Schema at index 1 was different: version: string date: string task: string dataset_name: string modalities: list<item: string> metadata: struct<source: string, license: string, created_by: string, notes: string> labels: struct<foul_type: struct<type: string, labels: list<item: string>>, severity: struct<type: string, labels: list<item: string>>, attributes: struct<type: string, labels: list<item: string>>> data: list<item: null> vs version: string date: timestamp[s] dataset_name: string metadata: struct<created_by: string> task: string modalities: list<item: string> labels: struct<foul_type: struct<type: string, labels: list<item: string>>, severity: struct<type: string, labels: list<item: string>>, attributes: struct<type: string, labels: list<item: string>>, color: struct<type: string, labels: list<item: string>>> data: list<item: struct<id: string, metadata: struct<AnnotationSource: string>, inputs: list<item: struct<type: string, path: string>>, labels: struct<attributes: struct<labels: list<item: string>>, foul_type: struct<label: string>, severity: struct<label: string>, color: struct<label: string>>>>

from huggingface_hub import snapshot_download snapshot_download(repo_id="OpenSportsLab/soccernetpro-classification-toyexample", repo_type="dataset", revision="main", local_dir="soccernetpro-classification-toyexample")

Datasets:

OpenSportsLab
/

soccernetpro-classification-toyexample

Download that dataset

Datasets:

OpenSportsLab
/

soccernetpro-classification-toyexample

Download that dataset