Datasets:

lukeslp
/

strange-places

Error code:   FeaturesError
Exception:    ValueError
Message:      Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/lukeslp/strange-places@b2b610af10efea08ed6f258de81a9dd5230dc22d/all_phenomena_unified_v5.1.json.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 503, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 350, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 186, in _generate_tables
                  raise ValueError(
              ValueError: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/lukeslp/strange-places@b2b610af10efea08ed6f258de81a9dd5230dc22d/all_phenomena_unified_v5.1.json.

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Strange Places: 341,000 Mysterious Phenomena Worldwide

From the underwater ruins of Yonaguni to the unexplained disappearances of the Bermuda Triangle, this dataset maps 341,000 locations where the strange, unexplained, and extraordinary have been documented.

Strange Places aggregates 17 authoritative sources into a unified geospatial format:

• NASA Fireball Database: 35,000+ atmospheric fireballs detected by US government sensors since 1988 • NASA Meteorite Landings: 45,000+ documented meteorite falls and finds • NUFORC: 150,000+ UFO sighting reports with dates, descriptions, and coordinates • NOAA Storm Events: Major tornadoes, hurricanes, and extreme weather since 1950 • USGS Earthquakes & Volcanoes: Seismic events and volcanic activity worldwide • Megalithic Portal: Ancient stone monuments, standing stones, and prehistoric sites • OpenStreetMap: Caves, ghost towns, abandoned places, and mysterious landmarks • Shipwreck databases: Maritime disasters and underwater archaeology sites • Paranormal registries: Documented haunted locations and cryptid sightings

Each record includes latitude, longitude, category, date (where known), and descriptive metadata. The unified schema enables cross-category analysis—overlay meteor impacts with ancient monuments, or map UFO sightings against military installations.

Ideal for data visualization, geographic clustering analysis, or building interactive maps of Earth's most intriguing locations.

Citation

@dataset{strange_places_2026,
  title = {Strange Places: 341,000 Mysterious Phenomena Worldwide},
  author = {Steuber, Luke},
  year = {2026},
  doi = {10.5281/zenodo.18321331},
  url = {https://huggingface.co/datasets/lukeslp/strange-places}
}

License

CC0 1.0 (Public Domain)

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