Datasets:

SHK4K
/

hadith

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
Unnamed: 0: int64
bookname: large_string
hadithnumber: double
arabicnumber: double
text: large_string
Al-Albani: large_string
book: large_string
hadith: int64
section: large_string
name: large_string
comments: large_string
link: large_string
linkmin: large_string
sanad: large_string
matn: large_string
-- schema metadata --
huggingface: '{"info": {"features": {"Unnamed: 0": {"dtype": "int64", "_t' + 780
to
{'bookname': Value('large_string'), 'hadithnumber': Value('float64'), 'arabicnumber': Value('float64'), 'text': Value('large_string'), 'Al-Albani': Value('large_string'), 'book': Value('large_string'), 'hadith': Value('int64'), 'section': Value('large_string'), 'name': Value('large_string'), 'comments': Value('large_string'), 'link': Value('large_string'), 'linkmin': Value('large_string'), 'sanad': Value('large_string'), 'matn': Value('large_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(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 220, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              Unnamed: 0: int64
              bookname: large_string
              hadithnumber: double
              arabicnumber: double
              text: large_string
              Al-Albani: large_string
              book: large_string
              hadith: int64
              section: large_string
              name: large_string
              comments: large_string
              link: large_string
              linkmin: large_string
              sanad: large_string
              matn: large_string
              -- schema metadata --
              huggingface: '{"info": {"features": {"Unnamed: 0": {"dtype": "int64", "_t' + 780
              to
              {'bookname': Value('large_string'), 'hadithnumber': Value('float64'), 'arabicnumber': Value('float64'), 'text': Value('large_string'), 'Al-Albani': Value('large_string'), 'book': Value('large_string'), 'hadith': Value('int64'), 'section': Value('large_string'), 'name': Value('large_string'), 'comments': Value('large_string'), 'link': Value('large_string'), 'linkmin': Value('large_string'), 'sanad': Value('large_string'), 'matn': Value('large_string')}
              because column names don't match

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Hadith Dataset

This data is from fawazahmed0/hadith-data

this Dataset contains Sahih Bukhari and Sahih Muslim hadiths i gathered them from public apis and added Matn and Sanad separation with my Bert transformer, so people can use it in their projects

Thank you.

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