Datasets:

---

internetoftim

/

ceb-scrape

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
@context: struct<@language: string, @vocab: string, croissant: string, sc: string>
@type: string
name: string
description: string
license: string
url: string
inLanguage: list<item: string>
statistics: struct<@type: string, numRows: int64, totalWordCount: int64, languageDistribution: list<item: struct<language: string, languageName: string, count: int64, percentage: double>>>
distribution: list<item: struct<@type: string, @id: string, name: string, contentUrl: string, encodingFormat: string, description: string>>
recordSet: list<item: struct<@type: string, @id: string, name: string, field: list<item: struct<@type: string, name: string, description: string, dataType: string, source: struct<fileObject: struct<@id: string>, extract: struct<column: string>>>>>>
vs
url: string
title: string
content: string
detected_lang: string
word_count: int64
source: string
crawled_at: 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 3496, 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 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 547, 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: 
              @context: struct<@language: string, @vocab: string, croissant: string, sc: string>
              @type: string
              name: string
              description: string
              license: string
              url: string
              inLanguage: list<item: string>
              statistics: struct<@type: string, numRows: int64, totalWordCount: int64, languageDistribution: list<item: struct<language: string, languageName: string, count: int64, percentage: double>>>
              distribution: list<item: struct<@type: string, @id: string, name: string, contentUrl: string, encodingFormat: string, description: string>>
              recordSet: list<item: struct<@type: string, @id: string, name: string, field: list<item: struct<@type: string, name: string, description: string, dataType: string, source: struct<fileObject: struct<@id: string>, extract: struct<column: string>>>>>>
              vs
              url: string
              title: string
              content: string
              detected_lang: string
              word_count: int64
              source: string
              crawled_at: string