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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
reviewId: string
userName: string
userImage: string
content: string
score: int64
thumbsUpCount: int64
reviewCreatedVersion: string
at: timestamp[s]
replyContent: string
repliedAt: timestamp[s]
appVersion: string
com.instagram.android: string
com.facebook.katana: string
com.google.android.gm: string
com.google.android.youtube: string
org.telegram.messenger: string
com.netflix.mediaclient: string
com.google.android.apps.maps: string
com.spotify.music: string
com.twitter.android: string
com.whatsapp: string
to
{'com.whatsapp': Value('string'), 'com.instagram.android': Value('string'), 'com.facebook.katana': Value('string'), 'com.twitter.android': Value('string'), 'org.telegram.messenger': Value('string'), 'com.google.android.youtube': Value('string'), 'com.netflix.mediaclient': Value('string'), 'com.spotify.music': Value('string'), 'com.google.android.apps.maps': Value('string'), 'com.google.android.gm': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 419, 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/json/json.py", line 310, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              reviewId: string
              userName: string
              userImage: string
              content: string
              score: int64
              thumbsUpCount: int64
              reviewCreatedVersion: string
              at: timestamp[s]
              replyContent: string
              repliedAt: timestamp[s]
              appVersion: string
              com.instagram.android: string
              com.facebook.katana: string
              com.google.android.gm: string
              com.google.android.youtube: string
              org.telegram.messenger: string
              com.netflix.mediaclient: string
              com.google.android.apps.maps: string
              com.spotify.music: string
              com.twitter.android: string
              com.whatsapp: string
              to
              {'com.whatsapp': Value('string'), 'com.instagram.android': Value('string'), 'com.facebook.katana': Value('string'), 'com.twitter.android': Value('string'), 'org.telegram.messenger': Value('string'), 'com.google.android.youtube': Value('string'), 'com.netflix.mediaclient': Value('string'), 'com.spotify.music': Value('string'), 'com.google.android.apps.maps': Value('string'), 'com.google.android.gm': Value('string')}
              because column names don't match

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Check out the documentation for more information.

Google Play Reviews - PT-BR (particionado por app)

Dataset com ~40 GB de reviews do Google Play em português (Brasil), um arquivo por app, em formato JSONL (ou JSONL.GZ).

Estrutura

  • reviews/: *.jsonl (ou *.jsonl.gz) por aplicativo
  • metadata.csv: app, arquivo, nº de linhas, tamanho, sha256, primeira/última data detectadas
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