Datasets:
The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: FileNotFoundError
Message: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7f598035e620>'
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 4645, 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 2866, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3073, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2581, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 961, in xopen
return open(main_hop, mode, *args, **kwargs)
FileNotFoundError: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7f598035e620>'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.120MSS_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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