OmniSky v1
Collection
Crossmatched, normalized multimodal astronomy: 20.4M DESI DR1 objects x 24 catalogs, 822 GB. Start with mmu-norm-index. • 20 items • Updated
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
_healpix_29: int64
lightcurve: struct<band: list<element: string>, time: list<element: float>, mag: list<element: float>, mag_err: (... 21 chars omitted)
child 0, band: list<element: string>
child 0, element: string
child 1, time: list<element: float>
child 0, element: float
child 2, mag: list<element: float>
child 0, element: float
child 3, mag_err: list<element: float>
child 0, element: float
redshift: float
ra: double
dec: double
spec_class: large_string
object_id: large_string
survey: large_string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 998
to
{'_healpix_29': Value('int64'), 'lightcurve': {'band': List(Value('string')), 'time': List(Value('float32')), 'mag': List(Value('float32')), 'mag_err': List(Value('float32'))}, 'ra': Value('float64'), 'dec': Value('float64'), 'obj_type': Value('large_string'), 'object_id': Value('large_string'), 'survey': Value('large_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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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/parquet/parquet.py", line 220, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
_healpix_29: int64
lightcurve: struct<band: list<element: string>, time: list<element: float>, mag: list<element: float>, mag_err: (... 21 chars omitted)
child 0, band: list<element: string>
child 0, element: string
child 1, time: list<element: float>
child 0, element: float
child 2, mag: list<element: float>
child 0, element: float
child 3, mag_err: list<element: float>
child 0, element: float
redshift: float
ra: double
dec: double
spec_class: large_string
object_id: large_string
survey: large_string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 998
to
{'_healpix_29': Value('int64'), 'lightcurve': {'band': List(Value('string')), 'time': List(Value('float32')), 'mag': List(Value('float32')), 'mag_err': List(Value('float32'))}, 'ra': Value('float64'), 'dec': Value('float64'), 'obj_type': Value('large_string'), 'object_id': Value('large_string'), 'survey': Value('large_string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Supernova & transient photometry, 11 catalogs — L1 (release v1)
This L1 repository contains 627 events matched across the release from YSE DR1, SNLS, Swift, Foundation, PS1, DES-Y3, CSP, CfA3, CfA4, CfA stripped-envelope, and CfA SN II. Each catalog has its own Parquet file, with a survey column added. The measurements retain their native values.
Schema
Per event: lightcurve struct with time, band, and either flux/flux_err (YSE, SNLS, Swift, Foundation, PS1, DES) or mag/mag_err (CSP, all CfA) — each catalog keeps its native representation, time convention, and filter names. Event metadata (redshift, type, host) as provided by each source.
Caveats
- L1 keeps each catalog's flux or magnitude representation.
kshitijd/mmu-l2-sneprovides an L2 sequence format with arepresentationcolumn and one reversible scale per object. - Time scales and calibration systems remain native to each survey. Use documented conversions when combining surveys.
- Version 1 includes retrospective splits. Temporal and forecasting tasks need an explicit prefix manifest.
Credit: the respective survey teams (citations in each source's literature; see release documentation). Sourced via Multimodal Universe.
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