Datasets:
The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 127, in _split_generators
self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
~~~~~~~~~~~~~~^^^
File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 2459, in read_schema
file = ParquetFile(
where, memory_map=memory_map,
decryption_properties=decryption_properties)
File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 328, in __init__
self.reader.open(
~~~~~~~~~~~~~~~~^
source, use_memory_map=memory_map,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...<8 lines>...
arrow_extensions_enabled=arrow_extensions_enabled,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "pyarrow/_parquet.pyx", line 1656, in pyarrow._parquet.ParquetReader.open
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.
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/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
Outerview Global Potholes Dataset
A large-scale geospatial dataset of potholes with latitude and longitude.
This dataset is part of Outerview’s mission to organize the world’s physical infrastructure and make it searchable.
Build with Outerview
- Geographic Feature List — browse geographic features available through Outerview
- Outerview — programmable infrastructure for Earth
- Developer Documentation — APIs, tools, guides, and examples
- SDK — build geographic capabilities directly into applications
- CLI — work with geographic search and spatial data from the terminal
- MCP — connect geographic search and spatial tools to AI agents
🌍 Overview
- Feature: Potholes
- Scope: Global
- Entries: 29,000
- Total Dataset: 3M+ potholes (full dataset)
- Formats: Parquet / CSV / GeoJSON
This dataset represents a subset of a larger 3M+ pothole dataset generated and maintained by Outerview.
Each row corresponds to a real-world location.
📊 Dataset Schema
| Column | Description |
|---|---|
| id | Unique identifier |
| latitude | Latitude coordinate |
| longitude | Longitude coordinate |
| region | Administrative region |
| source | Data source |
🧠 Data Sources & Labeling
- Imagery Source: Mapillary
- Label Generation: Outerview AI models
All pothole detections were generated using Outerview’s API.
🧪 Example Use Cases
- Train computer vision models for road damage detection
- Build geospatial search and indexing systems
- Urban infrastructure monitoring
- Autonomous navigation and mapping systems
- Large-scale earth observation modeling
🚀 About Outerview
Outerview is a research lab focused on building world models that help solve some of the world’s toughest challenges.
We’ve built a world model trained on billions of images, videos, and location data that allows anyone to search physical features of the world.
🔗 API & Full Dataset Access
This is a sample dataset.
The full platform provides:
- Millions of additional locations
- Timestamps / dates for each capture
- Access to billions of real-world images and videos
- Real-time querying of physical features
Access the full dataset and API:
👉 https://outerview.ai
View API documentation:
👉 https://outerview.ai/developers/docs
🔄 Updates
This dataset is actively maintained and updated biweekly with new data and improvements.
💬 Feedback
We’d love feedback on this dataset.
If there are other infrastructure features you’d like to see (e.g. drainage, signage, utilities, hazards), let us know.
📜 License
This dataset is released under the CC-BY-4.0 license.
Free for research and commercial use with attribution.
⚠️ Notes
- This dataset is a sampled subset of a much larger system
- The full dataset contains additional attributes such as timestamps
- Coverage and density may vary by region
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