Dataset Viewer

Duplicate

Split (1)

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: 15