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idle-intelligence
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ridgeline-terrain

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Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
bbox: struct<lat_min: int64, lat_max: int64, lon_min: int64, lon_max: int64>
  child 0, lat_min: int64
  child 1, lat_max: int64
  child 2, lon_min: int64
  child 3, lon_max: int64
width: int64
height: int64
elev_min: int64
elev_max: int64
dtype: string
byte_order: string
row_order: string
col_order: string
reference_radius_m: int64
rotation_period_days: double
rotation_note: string
coverage_note: string
source: string
rotation_period_h: double
to
{'bbox': {'lat_min': Value('int64'), 'lat_max': Value('int64'), 'lon_min': Value('int64'), 'lon_max': Value('int64')}, 'width': Value('int64'), 'height': Value('int64'), 'elev_min': Value('int64'), 'elev_max': Value('int64'), 'dtype': Value('string'), 'byte_order': Value('string'), 'row_order': Value('string'), 'col_order': Value('string'), 'reference_radius_m': Value('int64'), 'rotation_period_h': Value('float64'), 'source': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 478, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 343, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              bbox: struct<lat_min: int64, lat_max: int64, lon_min: int64, lon_max: int64>
                child 0, lat_min: int64
                child 1, lat_max: int64
                child 2, lon_min: int64
                child 3, lon_max: int64
              width: int64
              height: int64
              elev_min: int64
              elev_max: int64
              dtype: string
              byte_order: string
              row_order: string
              col_order: string
              reference_radius_m: int64
              rotation_period_days: double
              rotation_note: string
              coverage_note: string
              source: string
              rotation_period_h: double
              to
              {'bbox': {'lat_min': Value('int64'), 'lat_max': Value('int64'), 'lon_min': Value('int64'), 'lon_max': Value('int64')}, 'width': Value('int64'), 'height': Value('int64'), 'elev_min': Value('int64'), 'elev_max': Value('int64'), 'dtype': Value('string'), 'byte_order': Value('string'), 'row_order': Value('string'), 'col_order': Value('string'), 'reference_radius_m': Value('int64'), 'rotation_period_h': Value('float64'), 'source': Value('string')}
              because column names don't match

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ridgeline terrain

Baked global elevation heightfields for ridgeline, a browser 3D globe flight/explore demo (Rust→WASM + WebGPU). Derived from public-domain government datasets (U.S. Government works — no copyright); this repo redistributes resampled, reformatted versions.

Files

File	Body	Grid	Source
`heightfield.bin`	Earth	8192×4096	NOAA ETOPO 2022 (60 arc-sec, ice surface)
`water_mask.bin`	Earth	8192×4096	derived from ETOPO (uint8, 1 = water)
`moon_heightfield.bin`	Moon	7680×3840	NASA LRO LOLA LDEM
`mars_heightfield.bin`	Mars	11520×5760	NASA MGS MOLA MEGDR (32 ppd)
`venus_heightfield.bin`	Venus	8192×4096	NASA Magellan topography (USGS v02)
`mercury_heightfield.bin`	Mercury	11520×5760	NASA MESSENGER USGS DEM v2 (÷2)
`sun_heightfield.bin`	Sun	2880×1440	NASA SDO/HMI synoptic magnetogram (CR2300) — signed Gauss, not elevation
`ceres_heightfield.bin`	Ceres	11520×5760	NASA Dawn FC HAMO DTM (DLR/USGS)
`vesta_heightfield.bin`	Vesta	11520×5760	NASA Dawn FC HAMO DTM — 2 m/unit (`elev_scale_m` in meta)
`enceladus_heightfield.bin`	Enceladus	7680×3840	Cassini global DEM (Schenk & McKinnon 2024)
`pluto_heightfield.bin`	Pluto	11520×5760	New Horizons LORRI/MVIC — ~54% far side is synthetic fill
`charon_heightfield.bin`	Charon	5760×2880	New Horizons LORRI/MVIC — ~54% far side is synthetic fill
`*_heightfield_d4.bin` / `_d16.bin`	all	÷4 / ÷16	area-mean resolution tiers for progressive loading
`*_meta.json`	—	—	grid dims, bbox, elevation range per body (tier dims = full ÷ f)

Format

Raw little-endian int16 meters (no header), row-major row*width + col; row 0 = north (+90°), col 0 = west (−180°). Earth is relative to sea level with ocean clamped to 0; Moon relative to the 1737.4 km sphere; Mars relative to the areoid (no clamp — Hellas −8.2 km to Olympus Mons +21.2 km); Venus relative to the 6051 km sphere (radar gaps filled by per-row wrapped interpolation); Mercury relative to the 2439.4 km sphere. The Sun file is NOT elevation: it's the HMI radial magnetic field, value = sign(B)·√(|B|/1500)·30000 capped at ±10000 (inverse in sun_meta.json). Read dims from the matching *_meta.json, never hardcode. HMI data courtesy of NASA/SDO and the HMI science team.

Bake pipelines (download + resample + verify) live in the ridgeline repo under data/bake/.

Downloads last month: 181

Total file size:

1.19 GB