Datasets:
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 string to null
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 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/json/json.py", line 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2315, 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 2155, in cast_array_to_feature
return array_cast(
array,
...<2 lines>...
allow_decimal_to_str=allow_decimal_to_str,
)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2014, in array_cast
raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
TypeError: Couldn't cast array of type string to nullNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
TLPD: Taiwan License Plate Dataset
TLPD is a dataset containing over 3,000 images of vehicles with annotated license plates. Each image is labeled using the LabelMe format, with polygon annotations describing the boundary of each license plate.
This dataset is designed for tasks such as license plate detection, polygon segmentation, and scene text detection.
📁 Dataset Structure
All image files are stored in the images/ directory, and their corresponding polygon annotations are in the labels/ directory:
images/
├── 0001.jpg
├── 0002.jpg
└── ...
labels/
├── 0001.json
├── 0002.json
└── ...
Each .jpg image is paired with a .json file of the same name containing the polygon annotation (in LabelMe format).
🏷️ Annotation Format (LabelMe)
Each .json file includes:
"imagePath": the name of the image"shapes"[0]["label"]:"carplate""shapes"[0]["points"]: polygon points in the format[[x1, y1], [x2, y2], ...]"imageHeight","imageWidth": image dimensions
Example JSON snippet:
{
"imagePath": "0001.jpg",
"shapes": [
{
"label": "carplate",
"points": [
[5.0, 8.0],
[117.0, 12.0],
[115.0, 52.0],
[3.0, 48.0]
],
"shape_type": "polygon"
}
],
"imageHeight": 60,
"imageWidth": 121
}
💻 How to Use
To load this dataset using the Hugging Face 🤗 datasets library:
from datasets import load_dataset
ds = load_dataset("evan6007/TLPD", data_dir=".", trust_remote_code=True)
sample = ds["train"][0]
image = sample["image"] # PIL image
label = sample["label"] # "carplate"
points = sample["points"] # [[x1, y1], ..., [x4, y4]]
Note: This dataset requires a custom loading script (
dataset.py). Be sure to settrust_remote_code=True.
🧑🔬 Intended Use
- Object Detection (license plate)
- Polygon segmentation
- Scene text analysis
- Few-shot detection tasks
🪪 License
This dataset is licensed under the MIT License. You are free to use, share, and modify it for both academic and commercial purposes, with attribution.
✍️ Citation
@misc{TLPD2025,
title={Taiwan License Plate Dataset},
author={Hoi Lee ,Jui-Hung Weng, Chao-Hsiang Hsiao},
year={2025},
howpublished={\url{https://huggingface.co/datasets/evan6007/TLPD}}
}
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