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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    FileNotFoundError
Message:      [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7fb9f6e6be90>'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
                  yield from 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/xml/xml.py", line 67, in _generate_tables
                  with open(file, encoding=self.config.encoding, errors=self.config.encoding_errors) as f:
                       ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/streaming.py", line 73, in wrapper
                  return function(*args, download_config=download_config, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 967, in xopen
                  return open(main_hop, mode, *args, **kwargs)
              FileNotFoundError: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7fb9f6e6be90>'

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Quran Bounding Labels

Pascal VOC-style bounding-box annotations for detecting Qur'an ayah lines and ayah-number markers in page images.

Dataset structure

The repository contains two annotation collections:

Directory Object class XML files Bounding boxes
ayat_lines/ ayat_line 2,416 48,588
ayat_number/ ayah_marker 2,416 25,222

Each collection contains 604 pages for each of these four editions:

  • haji-umrah
  • mina-tajwid
  • non-tajwid
  • tikrar-tajwid-terjemah

The annotation filename follows the pattern <edition>_page_<page-number>.xml. The corresponding image filename is stored in the XML <filename> element.

The dataset repository contains XML annotations. The page images used when creating the annotations are not included here; paths in the XML <path> elements are historical local paths and should not be treated as downloadable dataset paths.

Annotation format

Each file uses the Pascal VOC layout:

<object>
  <name>ayat_line</name>
  <bndbox>
    <xmin>174</xmin>
    <ymin>473</ymin>
    <xmax>827</xmax>
    <ymax>573</ymax>
  </bndbox>
</object>

The page metadata currently records an image size of 1,000 × 1,551 pixels with three channels. Coordinates are pixel coordinates with the origin at the top-left corner. A single page may contain multiple objects, and objects in ayat_lines/ are ordered according to the annotation source rather than necessarily by geometric position.

Intended use

These annotations can be used to train and evaluate computer-vision models for Qur'an page layout analysis, including ayah-line extraction and ayah-number marker detection. Users should verify the annotations against the source page images before using them in a production system.

Citation and attribution

If you use this dataset, please cite this repository and identify the edition and annotation collection used in your experiment. The dataset maintainer is devgongaji.

License

No license has been declared for this dataset. Check the repository terms and obtain the necessary permissions before redistributing the annotations or any associated source images.

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