DUSUNEN Model Lab — Open Turkish AI Models & Live Demos
Collection
Open Turkish AI by Göktuğ Düşünen: OCR, speech, text restoration, embeddings, reranking, benchmarks and live demos. • 19 items • Updated
Datasets:
License:
Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: TypeError
Message: Couldn't cast array of type
struct<five_task_matrix: string, rota_v1: string, rota_v2: string, pusula: string, atlas: string, mercek: string, mercek_frozen_candidates_local: string, training_data: string, hard_negatives: string, demo: string>
to
{'model': Value('string'), 'dataset': Value('string'), 'demo': Value('string'), 'baseline_metrics_local': Value('string'), 'final_metrics_local': Value('string'), 'reload_metrics_local': Value('string')}
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 2158, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<five_task_matrix: string, rota_v1: string, rota_v2: string, pusula: string, atlas: string, mercek: string, mercek_frozen_candidates_local: string, training_data: string, hard_negatives: string, demo: string>
to
{'model': Value('string'), 'dataset': Value('string'), 'demo': Value('string'), 'baseline_metrics_local': Value('string'), 'final_metrics_local': Value('string'), 'reload_metrics_local': Value('string')}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.
DUSUNEN Research Papers
Open, evidence-linked preprints accompanying the DUSUNEN Turkish AI releases. Every quantitative claim points to a public model, dataset, demo, or machine-readable result. The papers deliberately report weak and negative results alongside improvements.
Preprints
DUSUNEN-IR
An Evidence-First Open Stack for Turkish Neural Retrieval
- Source:
retrieval-stack/paper.md - Print-ready HTML:
retrieval-stack/paper.html - PDF:
retrieval-stack/paper.pdf - arXiv source:
retrieval-stack/main.tex - arXiv upload archive:
retrieval-stack/arxiv-source.tar.gz - arXiv form metadata:
retrieval-stack/ARXIV_SUBMISSION.md - Evidence manifest:
retrieval-stack/evidence.json - Frozen reranking evidence:
retrieval-stack/mercek-held-out.json
DUSUNEN Oku
Compact Turkish Printed-Word Recognition with Word-Disjoint Evaluation
- Source:
oku-ocr/paper.md - Print-ready HTML:
oku-ocr/paper.html - PDF:
oku-ocr/paper.pdf - arXiv source:
oku-ocr/main.tex - arXiv upload archive:
oku-ocr/arxiv-source.tar.gz - arXiv form metadata:
oku-ocr/ARXIV_SUBMISSION.md - Evidence manifest:
oku-ocr/evidence.json
Status
These documents are author preprints. A Hugging Face Papers profile entry requires an arXiv identifier; the public preprint files are hosted here so the work, evidence, and source remain inspectable before and after arXiv submission.
License
The paper text is released under CC BY 4.0. Linked models, datasets, code, and upstream resources retain the licenses stated in their own repositories.
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