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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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 1393, 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 1571, 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.
jpg image | json dict | __key__ string | __url__ string |
|---|---|---|---|
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{
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{
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{
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{
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End of preview.
Triangle NC Geotagged Street Imagery
A large, public street-level image corpus for fine-grained visual geolocation research in North Carolina's Triangle region. It was assembled for training and evaluating the Cardinal geolocation model.
Dataset summary
The release contains 1,777,526 unique geotagged images: 1,537,750 train and 239,776 validation images. Sources: KartaView (1,169,521), Mapillary (608,002), Panoramax (3). Images cover ordinary road scenes and were collected at different times, routes, viewpoints, weather conditions, and image qualities.
Files and fields
Images are stored as uncompressed WebDataset tar shards under data/<split>/. Every image has a same-key JSON sidecar containing its latitude/longitude, projected location, fine and coarse cell labels, capture sequence, split, source, and related training metadata. manifest.jsonl.gz contains the complete portable manifest; geo_index.json defines the geographic cells. Provider records under provenance/ preserve source URLs, contributor information when available, and attribution metadata.
A shard can be streamed with WebDataset, for example:
import webdataset as wds
dataset = (
wds.WebDataset("data/train/train-{00000..00307}.tar", shardshuffle=True)
.decode("pil")
.to_tuple("jpg;jpeg;png;webp", "json")
)
Intended use and limitations
The dataset is intended for visual geolocation, geographic representation learning, retrieval, robustness testing, and related research. It is geographically concentrated and should not be treated as representative of other regions. Consecutive street-view frames can be visually correlated, GPS labels can contain noise, and source coverage is uneven. Report results on the supplied validation split and use an independently GPS-labeled phone-image holdout before making deployment claims.
The data includes precise capture coordinates and may show people, vehicles, homes, or other publicly visible details. Do not use it to identify individuals, infer sensitive personal information, or facilitate surveillance.
Licensing and attribution
This repository does not apply one blanket license to third-party images. Each image remains subject to its original provider's terms and attribution requirements. Review the records in provenance/ and the current Mapillary, KartaView, and Panoramax terms before redistribution or commercial use. Dataset packaging, labels, and metadata do not grant additional rights to the underlying imagery.
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