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Error code: DatasetGenerationError
Exception: ValueError
Message: Invalid string class label Nepali-Sign-Language-Character-Dataset@507b35b8cf1849fb20280a3677e7b35ac88b0368
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1537, in _prepare_split_single
example = self.info.features.encode_example(record) if self.info.features is not None else record
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2162, in encode_example
return encode_nested_example(self, example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1446, in encode_nested_example
{k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1469, in encode_nested_example
return schema.encode_example(obj) if obj is not None else None
~~~~~~~~~~~~~~~~~~~~~^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1144, in encode_example
example_data = self.str2int(example_data)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1081, in str2int
output = [self._strval2int(value) for value in values]
~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1102, in _strval2int
raise ValueError(f"Invalid string class label {value}")
ValueError: Invalid string class label Nepali-Sign-Language-Character-Dataset@507b35b8cf1849fb20280a3677e7b35ac88b0368
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1382, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1560, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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Nepali Sign Language Character Dataset
This project contains a dataset of Nepali sign language characters. The dataset is organized into two categories based on the background type: Plain Background and Random Background. Each category contains subfolders representing Nepali characters, with each folder containing a specific number of images.
Folder Structure
Inside the NSL.zip the dataset is structured as follows:
├── Plain Background
│ ├── 0
│ ├── 1
│ ├── 2
│ ├── ...
│ └── 35
├── Random Background
│ ├── 0
│ ├── 1
│ ├── 2
│ ├── ...
│ └── 35
Plain Background
- Contains 36 folders labeled from
0to35, each representing a Nepali sign language character. - Each folder has 1000 images of the respective character captured against a plain background.
Random Background
- Contains 36 folders labeled from
0to35, each representing a Nepali sign language character. - Each folder has 500 images of the respective character captured against a random background.
Folder to Nepali Character Mapping
Below is the mapping of folder numbers to Nepali characters:
| Folder Number | Nepali Character |
|---|---|
| 0 | क |
| 1 | ख |
| 2 | ग |
| 3 | घ |
| 4 | ङ |
| 5 | च |
| 6 | छ |
| 7 | ज |
| 8 | झ |
| 9 | ञ |
| 10 | ट |
| 11 | ठ |
| 12 | ड |
| 13 | ढ |
| 14 | ण |
| 15 | त |
| 16 | थ |
| 17 | द |
| 18 | ध |
| 19 | न |
| 20 | प |
| 21 | फ |
| 22 | ब |
| 23 | भ |
| 24 | म |
| 25 | य |
| 26 | र |
| 27 | ल |
| 28 | व |
| 29 | श |
| 30 | ष |
| 31 | स |
| 32 | ह |
| 33 | क्ष |
| 34 | त्र |
| 35 | ज्ञ |
Dataset Details
The dataset is designed to support machine learning and deep learning applications, particularly for tasks such as:
- Gesture recognition
- Sign language translation
Nepali Characters Mapping
Each folder number corresponds to a specific Nepali character in sign language. A mapping table or reference for these numbers should be used in conjunction with this dataset for proper labeling and interpretation.
Applications
This dataset can be utilized in:
- Training models to recognize Nepali sign language.
- Developing applications for aiding communication with the hearing-impaired community.
- Research in sign language recognition and interpretation.
Citation
If you use this dataset in your research or projects, please cite this work as:
Birat Poudel, Satyam Ghimire, Sijan Bhattarai, Saurav Bhandari. (2025). Nepali Sign Language Character Dataset.
License
This dataset is provided under the MIT License. Please ensure appropriate use and give credit when using the dataset.
Acknowledgments
Special thanks to all contributors who helped in capturing, organizing, and validating this dataset, including Satyam Ghimire, Sijan Bhattarai, and Saurav Bhandari.
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