Datasets:

---

KasuleTrevor

/

cdli-luganda-textpre-corpus

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
output_path: string
local_luganda_file: string
datasets: struct<yogera: string, waxal: string, uno: string>
  child 0, yogera: string
  child 1, waxal: string
  child 2, uno: string
chunking: struct<max_chars: int64, max_words: int64, soft_min_chars: int64, stage0_recommended_max_length: int (... 17 chars omitted)
  child 0, max_chars: int64
  child 1, max_words: int64
  child 2, soft_min_chars: int64
  child 3, stage0_recommended_max_length: int64
  child 4, note: string
filters: struct<copy_local_raw: bool, drop_mostly_english: bool, dedupe_casefold: bool>
  child 0, copy_local_raw: bool
  child 1, drop_mostly_english: bool
  child 2, dedupe_casefold: bool
sources: list<item: struct<source: string, raw_rows: int64, emitted_chunks: int64, dropped_url_or_markup: int (... 116 chars omitted)
  child 0, item: struct<source: string, raw_rows: int64, emitted_chunks: int64, dropped_url_or_markup: int64, dropped (... 104 chars omitted)
      child 0, source: string
      child 1, raw_rows: int64
      child 2, emitted_chunks: int64
      child 3, dropped_url_or_markup: int64
      child 4, dropped_english_like: int64
      child 5, dropped_suspicious: int64
      child 6, split_hash_boundaries: int64
      child 7, split_long_chunks: int64
totals: struct<raw_rows: int64, emitted_chunks: int64, dropped_url_or_markup: int64, dropped_english_like: i (... 88 chars omitted)
  child 0, raw_rows: int64
  child 1, emitted_chunks: int64
  child 2, dropped_url_or_markup: int64
  child 3, dropped_english_like: int64
  child 4, dropped_suspicious: int64
  child 5, split_hash_boundaries: int64
  child 6, split_long_chunks: int64
first_examples: list<item: string>
  child 0, item: string
max_words: int64
min_chars: int64
min_words: int64
common_word_counts: list<item: list<item: int64>>
  child 0, item: list<item: int64>
      child 0, item: int64
line_count: int64
max_chars: int64
common_char_counts: list<item: list<item: int64>>
  child 0, item: list<item: int64>
      child 0, item: int64
to
{'line_count': Value('int64'), 'min_words': Value('int64'), 'max_words': Value('int64'), 'min_chars': Value('int64'), 'max_chars': Value('int64'), 'common_word_counts': List(List(Value('int64'))), 'common_char_counts': List(List(Value('int64'))), 'first_examples': List(Value('string'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, 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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, 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 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, 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 299, 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 128, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              output_path: string
              local_luganda_file: string
              datasets: struct<yogera: string, waxal: string, uno: string>
                child 0, yogera: string
                child 1, waxal: string
                child 2, uno: string
              chunking: struct<max_chars: int64, max_words: int64, soft_min_chars: int64, stage0_recommended_max_length: int (... 17 chars omitted)
                child 0, max_chars: int64
                child 1, max_words: int64
                child 2, soft_min_chars: int64
                child 3, stage0_recommended_max_length: int64
                child 4, note: string
              filters: struct<copy_local_raw: bool, drop_mostly_english: bool, dedupe_casefold: bool>
                child 0, copy_local_raw: bool
                child 1, drop_mostly_english: bool
                child 2, dedupe_casefold: bool
              sources: list<item: struct<source: string, raw_rows: int64, emitted_chunks: int64, dropped_url_or_markup: int (... 116 chars omitted)
                child 0, item: struct<source: string, raw_rows: int64, emitted_chunks: int64, dropped_url_or_markup: int64, dropped (... 104 chars omitted)
                    child 0, source: string
                    child 1, raw_rows: int64
                    child 2, emitted_chunks: int64
                    child 3, dropped_url_or_markup: int64
                    child 4, dropped_english_like: int64
                    child 5, dropped_suspicious: int64
                    child 6, split_hash_boundaries: int64
                    child 7, split_long_chunks: int64
              totals: struct<raw_rows: int64, emitted_chunks: int64, dropped_url_or_markup: int64, dropped_english_like: i (... 88 chars omitted)
                child 0, raw_rows: int64
                child 1, emitted_chunks: int64
                child 2, dropped_url_or_markup: int64
                child 3, dropped_english_like: int64
                child 4, dropped_suspicious: int64
                child 5, split_hash_boundaries: int64
                child 6, split_long_chunks: int64
              first_examples: list<item: string>
                child 0, item: string
              max_words: int64
              min_chars: int64
              min_words: int64
              common_word_counts: list<item: list<item: int64>>
                child 0, item: list<item: int64>
                    child 0, item: int64
              line_count: int64
              max_chars: int64
              common_char_counts: list<item: list<item: int64>>
                child 0, item: list<item: int64>
                    child 0, item: int64
              to
              {'line_count': Value('int64'), 'min_words': Value('int64'), 'max_words': Value('int64'), 'min_chars': Value('int64'), 'max_chars': Value('int64'), 'common_word_counts': List(List(Value('int64'))), 'common_char_counts': List(List(Value('int64'))), 'first_examples': List(Value('string'))}
              because column names don't match