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The dataset viewer is not available for this split.
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 0x7f3e8059ae10>'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 247, 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 4196, 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 2533, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2711, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2249, in _iter_arrow
                  yield from 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/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/python3.12/site-packages/datasets/streaming.py", line 73, in wrapper
                  return function(*args, download_config=download_config, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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 0x7f3e8059ae10>'

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

SCAM – Sahidic Coptic Ancient Manuscripts

Project page: scam.silviacascianelli.com

SCAM is a dataset of handwritten Sahidic Coptic manuscript pages, with manually annotated text-line polygons and HTR transcriptions. It is split into two subsets:

Subset Source Pages Lines
SCAM-A Biblioteca Apostolica Vaticana 24 1,445
SCAM-B Biblioteca Nazionale di Napoli 15 1,795
Full Combined 39 3,240

Each split (train / eval / test) is encoded in the annotation XML files.


Repository contents

annotations/
  page_annotations_RO.xml   # SCAM-A line polygons + transcriptions (CVAT 1.1 format)
  page_annotations_NA.xml   # SCAM-B line polygons + transcriptions (CVAT 1.1 format)
transcriptions/
  scam_a/  *.rtf            # Page-level transcriptions for SCAM-A
  scam_b/  *.rtf            # Page-level transcriptions for SCAM-B

The XML annotation files are in CVAT Image 1.1 format. Each <image> element contains <polygon> elements, one per text line, with:

  • points – polygon vertices (x,y coordinates) within the page image
  • <attribute name="Content"> – the HTR transcription of that line

⚠️ Images not included

Due to intellectual property restrictions, the original manuscript page images are not distributed in this repository. They can be obtained as described below.

SCAM-A — Biblioteca Apostolica Vaticana

Images can be found in the Vatican Apostolic Library Digital Repository:

🔗 https://digi.vatlib.it/mss/Borg.copt

Please inquire with the library regarding the terms under which the images may be used.

The specific fascicles used in SCAM-A are:

  • MSS_Borg.copt.109.cass.XXV.fasc.120
  • MSS_Borg.copt.109.cass.XXIX.fasc.159

The image filenames in the annotations map directly to the folio identifiers used in that collection (e.g. Borg.copt.109.cass.XXIX.fasc.159_0003_fa_0001r).

SCAM-B — Biblioteca Nazionale di Napoli

Images from the National Library of Naples must be requested directly from the library:

🔗 https://www.bnnonline.it/it/1/home


Further support

For questions about the dataset, annotation methodology, or to request additional information, please contact the authors — their email addresses are provided in the accompanying paper.

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