Datasets:

anke01
/

Uyghur_OCR_SUST_RUST

Error code:   StreamingRowsError
Exception:    ValueError
Message:      Invalid string class label Uyghur_OCR_SUST_RUST@0841fb2a2282b88a35f5dbc62d3ce217765041c4
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2567, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2102, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2134, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2197, in cast_table_to_features
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1995, in cast_array_to_feature
                  return feature.cast_storage(array)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1172, in cast_storage
                  [self._strval2int(label) if label is not None else None for label in storage.to_pylist()]
                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1101, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label Uyghur_OCR_SUST_RUST@0841fb2a2282b88a35f5dbc62d3ce217765041c4

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YAML Metadata Warning:The task_categories "optical-character-recognition" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

Uyghur OCR Dataset (SUST_RUST)

Dataset Description

This dataset contains Uyghur language OCR (Optical Character Recognition) training data.

Dataset Summary

Language: Uyghur (维吾尔语)
Task: Optical Character Recognition (OCR)
Size: ~12GB (compressed)

Supported Tasks

Optical Character Recognition (OCR)
Text Recognition
Multi-lingual OCR Research

Languages

The dataset primarily contains Uyghur language text images.

Dataset Structure

The dataset is provided as a compressed zip file (ug_dataset.zip) containing:

Training images
Corresponding labels/annotations

Usage

from datasets import load_dataset

dataset = load_dataset("anke01/Uyghur_OCR_SUST_RUST")

Dataset Creation

Source Data

This dataset was collected and prepared for Uyghur OCR research.

Additional Information

Dataset Curators

SUST_RUST Team

Licensing Information

MIT License

Citation

If you use this dataset, please cite:

@dataset{uyghur_ocr_sust_rust,
  title={Uyghur OCR Dataset},
  author={SUST_RUST Team},
  year={2024},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/anke01/Uyghur_OCR_SUST_RUST}
}

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