Datasets:

Outerview
/

global-potholes-dataset

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 118, in _split_generators
                  self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
                                                                           ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 2392, in read_schema
                  file = ParquetFile(
                         ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 328, in __init__
                  self.reader.open(
                File "pyarrow/_parquet.pyx", line 1656, in pyarrow._parquet.ParquetReader.open
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_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 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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.

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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.

🌍 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://docs.outerview.ai

🔄 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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