Dataset Viewer
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:      JSON parse error: Column() changed from object to string in row 0
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
                  df = pandas_read_json(f)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1025, in read
                  obj = self._get_object_parser(self.data)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1051, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1187, in parse
                  self._parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1402, in _parse
                  self.obj = DataFrame(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/frame.py", line 778, in __init__
                  mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
                  return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
                  index = _extract_index(arrays)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 680, in _extract_index
                  raise ValueError(
              ValueError: Mixing dicts with non-Series may lead to ambiguous ordering.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3339, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2096, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2300, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 476, in _iter_arrow
                  for key, pa_table in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 323, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 163, in _generate_tables
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 137, in _generate_tables
                  pa_table = paj.read_json(
                File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0

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.

language:

  • {lang_0} # Example: fr
  • {lang_1} # Example: en license: {license} # Example: apache-2.0 or any license from https://hf.co/docs/hub/repositories-licenses license_name: {license_name} # If license = other (license not in https://hf.co/docs/hub/repositories-licenses), specify an id for it here, like my-license-1.0. license_link: {license_link} # If license = other, specify "LICENSE" or "LICENSE.md" to link to a file of that name inside the repo, or a URL to a remote file. license_details: {license_details} # Legacy, textual description of a custom license. tags:
  • {tag_0} # Example: audio
  • {tag_1} # Example: bio
  • {tag_2} # Example: natural-language-understanding
  • {tag_3} # Example: birds-classification annotations_creators:
  • {creator} # Example: crowdsourced, found, expert-generated, machine-generated language_creators:
  • {creator} # Example: crowdsourced, ... language_details:
  • {bcp47_lang_0} # Example: fr-FR
  • {bcp47_lang_1} # Example: en-US pretty_name: {pretty_name} # Example: SQuAD size_categories:
  • {number_of_elements_in_dataset} # Example: n<1K, 100K<n<1M, … source_datasets:
  • {source_dataset_0} # Example: wikipedia
  • {source_dataset_1} # Example: laion/laion-2b task_categories: # Full list at https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/src/pipelines.ts
  • {task_0} # Example: question-answering
  • {task_1} # Example: image-classification task_ids:
  • {subtask_0} # Example: extractive-qa
  • {subtask_1} # Example: multi-class-image-classification paperswithcode_id: {paperswithcode_id} # Dataset id on PapersWithCode (from the URL). Example for SQuAD: squad configs: # Optional. This can be used to pass additional parameters to the dataset loader, such as data_files, data_dir, and any builder-specific parameters
  • config_name: {config_name_0} # Name of the dataset subset, if applicable. Example: default data_files:
    • split: {split_name_0} # Example: train path: {file_path_0} # Example: data.csv
    • split: {split_name_1} # Example: test path: {file_path_1} # Example: holdout.csv
  • config_name: {config_name_1} # Name of the dataset subset. Example: processed data_files:
    • split: {split_name_3} # Example: train path: {file_path_3} # Example: data_processed.csv
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