The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: TypeError
Message: Couldn't cast array of type list<item: string> to null
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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2312, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2118, in cast_array_to_feature
casted_array_values = _c(array.values, feature.feature)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2152, in cast_array_to_feature
return array_cast(
array,
...<2 lines>...
allow_decimal_to_str=allow_decimal_to_str,
)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2016, in array_cast
raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
TypeError: Couldn't cast array of type list<item: string> to nullNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Maqra index
The reciter registry, the per-file manifests (MD5 and SHA-256 for every ayah file), and the timing files for every set in Maqra. The audio itself lives in one dataset per reciter set under this namespace; manifests/reciters.json lists them.
Rights
Rights and attribution
Maqra is a mirror. It adds verification, manifests, packaging, and documentation around recordings it did not make.
Who made what
The recitations are the work of the reciters named in manifests/reciters.json and of the publishers and institutions who first recorded and distributed them. Several sets carry their own credit notes upstream (Zekr, QuranExplorer.com, KetabAllah.net, Dar Al Kuran Mostar, and individual contributors); those notes are mirrored verbatim under each set's _upstream/ folder.
everyayah.com (formerly versebyversequran.com) collected the recordings, split them into one file per ayah, produced the timing files and the MD5 lists, and has served them freely for many years. Its contact form is hosted by the Quran Foundation help centre.
Maqra copies the ayah files byte for byte, checks every file against everyayah.com's own MD5 lists where they exist and against exact byte counts everywhere, records SHA-256 for every file, and republishes the result on Hugging Face and GitHub Releases so that applications and automated agents can fetch any ayah from any reciter by URL without a browser.
What everyayah.com says
everyayah.com publishes no site-wide license. The only explicit terms found on the site (surveyed 2026-08-25) are in timings_files/000_disclaimer.txt:
(C) VerseByVerseQuran.com. You must link back to our site from your product and web-site to use these timings.
The license URL that disclaimer points to no longer resolves. One set's upstream info.txt (Maher Al-Muaiqly, prepared by the Zekr project in 2010) states "Recitation license: UNKNOWN". Treat that as the honest status of the whole collection: freely served, widely mirrored (the Internet Archive has hosted a 98 GB copy since 2021 and Tarteel AI republished it on Hugging Face in 2022), never formally licensed.
What Maqra asks
Maqra grants no rights in the recordings, because it holds none. It asks the following of anyone who uses the audio from here:
- Credit the reciter and everyayah.com, and link back to https://everyayah.com/ from any product or site that uses the audio or the timings.
- Use the recordings for non-commercial purposes: teaching, memorisation, apps and tools offered without charge, research.
- Do not alter the recordings. Cut, concatenate, and stream them as needed, but do not remix them, change their pitch or speed for publication, or present an edited recording as the reciter's own.
- Keep the attribution when you redistribute: ship this notice or a link to it with any copy.
Takedown
If you hold rights in any recording here and want it removed or its terms changed, open an issue on the Maqra repository or write to the maintainer. Removal is not contested; it is done, and the manifests are updated to record it.
The code and the metadata
Everything Maqra itself wrote is MIT licensed (see LICENSE): the mirror and verification tooling, the reciter registry, the manifests with their hashes, the converted timing files, and the documentation. Use them freely, with or without the audio.
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