Datasets:

liuxinge
/

Stargazer

Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Column 0: In chunk 0: Invalid: Struct child array #6 invalid: Invalid: List child array invalid: Invalid: Struct child array #6 has length smaller than expected for struct array (120 < 230)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1893, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 775, in _write_table
                  pa_table = embed_table_storage(pa_table)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2254, in embed_table_storage
                  return pa.Table.from_arrays(arrays, schema=features.arrow_schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 4912, in pyarrow.lib.Table.from_arrays
                File "pyarrow/table.pxi", line 4256, in pyarrow.lib.Table.validate
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Column 0: In chunk 0: Invalid: Struct child array #6 invalid: Invalid: List child array invalid: Invalid: Struct child array #6 has length smaller than expected for struct array (120 < 230)
              
              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/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1925, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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config dict	difficulty_details unknown	engine string	has_gp_noise bool	hf_split string	instrument_labels list	median_sigma_ms float64	meta unknown	num_instruments int64	num_observations int64	num_planets int64	observation_span_days float64	observations dict	rv_range_ms float64	source_file string	star_mass_solar float64	subset string	task_family string	task_id string	task_summary string	truth_difficulty int64
{ "engine": "keplerian", "instruments": [ { "gamma_ms": -33252, "label": "inst_A", "sigma_jitter_ms": 0, "sigma_white_ms": 7 }, { "gamma_ms": -33166.4198075, "label": "inst_B", "sigma_jitter_ms": 0, "sigma_white_ms": 0.23 }, { "gamma_ms": 11....	{ "n_obs": 639, "real_data": true }	keplerian	false	train	[ "inst_A", "inst_B", "inst_C", "inst_D", "inst_E", "inst_F" ]	2.52	{ "gamma_subtracted_per_instrument_ms": { "inst_A": -33252, "inst_B": -33166.4198075, "inst_C": 11.63455714, "inst_D": 19.675, "inst_E": -4.98, "inst_F": 1.79 }, "rv_semantics": "rv_only" }	6	639	1	7,237.393404	{ "instruments": [ "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "...	193.145	real_001.json	1.11	real	radial-velocity-planet-detection	real_001	Infer the planetary system from radial-velocity observations, including planet count and orbital parameters.	1
{ "engine": "keplerian", "instruments": [ { "gamma_ms": 0, "label": "inst_A", "sigma_jitter_ms": 0, "sigma_white_ms": 7 } ], "integrator_preference": "whfast", "los_axis": "x", "metadata": {}, "noise": { "gp": { "Q0": 1, "dQ": 0.1, "f": 0.5, "per...	{ "n_obs": 48, "real_data": true }	keplerian	false	train	[ "inst_A" ]	7	{ "rv_semantics": "rv_only" }	1	48	2	2,571.0101	{ "instruments": [ "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "...	215	real_002.json	0.95	real	radial-velocity-planet-detection	real_002	Infer the planetary system from radial-velocity observations, including planet count and orbital parameters.	9
{ "engine": "keplerian", "instruments": [ { "gamma_ms": 0, "label": "inst_A", "sigma_jitter_ms": 0, "sigma_white_ms": 1.1 } ], "integrator_preference": "whfast", "los_axis": "x", "metadata": {}, "noise": { "gp": { "Q0": 1, "dQ": 0.1, "f": 0.5, "p...	{ "n_obs": 119, "real_data": true }	keplerian	false	train	[ "inst_A" ]	1.1	{ "rv_semantics": "rv_only" }	1	119	4	1,569.759477	{ "instruments": [ "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "...	39.96	real_003.json	0.31	real	radial-velocity-planet-detection	real_003	Infer the planetary system from radial-velocity observations, including planet count and orbital parameters.	10
{ "engine": "keplerian", "instruments": [ { "gamma_ms": 0, "label": "inst_A", "sigma_jitter_ms": 0, "sigma_white_ms": 1.97 } ], "integrator_preference": "whfast", "los_axis": "x", "metadata": {}, "noise": { "gp": { "Q0": 1, "dQ": 0.1, "f": 0.5, "...	{ "n_obs": 162, "real_data": true }	keplerian	false	train	[ "inst_A" ]	1.97	{ "rv_semantics": "rv_only" }	1	162	4	4,600.64464	{ "instruments": [ "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "...	599.53	real_004.json	0.334	real	radial-velocity-planet-detection	real_004	Infer the planetary system from radial-velocity observations, including planet count and orbital parameters.	8
{ "engine": "keplerian", "instruments": [ { "gamma_ms": 0, "label": "inst_A", "sigma_jitter_ms": 0, "sigma_white_ms": 0.525 } ], "integrator_preference": "whfast", "los_axis": "x", "metadata": {}, "noise": { "gp": { "Q0": 1, "dQ": 0.1, "f": 0.5, ...	{ "n_obs": 190, "real_data": true }	keplerian	false	train	[ "inst_A" ]	0.525	{ "rv_semantics": "rv_only" }	1	190	5	2,428.194514	{ "instruments": [ "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "...	33.53	real_005.json	1.06	real	radial-velocity-planet-detection	real_005	Infer the planetary system from radial-velocity observations, including planet count and orbital parameters.	6
{ "engine": "keplerian", "instruments": [ { "gamma_ms": 0, "label": "inst_A", "sigma_jitter_ms": 0, "sigma_white_ms": 0.525 } ], "integrator_preference": "whfast", "los_axis": "x", "metadata": {}, "noise": { "gp": { "Q0": 1, "dQ": 0.1, "f": 0.5, ...	{ "n_obs": 190, "real_data": true }	keplerian	false	train	[ "inst_A" ]	0.525	{ "rv_semantics": "rv_only" }	1	190	7	2,428.194514	{ "instruments": [ "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "...	33.53	real_006.json	1.06	real	radial-velocity-planet-detection	real_006	Infer the planetary system from radial-velocity observations, including planet count and orbital parameters.	10
{ "engine": "keplerian", "instruments": [ { "gamma_ms": 9.55, "label": "inst_A", "sigma_jitter_ms": 0, "sigma_white_ms": 1.4 }, { "gamma_ms": -8.2, "label": "inst_B", "sigma_jitter_ms": 0, "sigma_white_ms": 5.4 } ], "integrator_preference": "whfast...	{ "n_obs": 106, "real_data": true }	keplerian	false	train	[ "inst_A", "inst_B" ]	1.5	{ "rv_semantics": "rv_only" }	2	106	2	3,571.31555	{ "instruments": [ "inst_B", "inst_A", "inst_A", "inst_A", "inst_A", "inst_B", "inst_A", "inst_A", "inst_A", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "...	185.5	real_007.json	1.07	real	radial-velocity-planet-detection	real_007	Infer the planetary system from radial-velocity observations, including planet count and orbital parameters.	4
{ "engine": "keplerian", "instruments": [ { "gamma_ms": 22.15, "label": "inst_A", "sigma_jitter_ms": 0, "sigma_white_ms": 3 }, { "gamma_ms": -9343.3, "label": "inst_B", "sigma_jitter_ms": 0, "sigma_white_ms": 1.2 }, { "gamma_ms": 23.7, ...	{ "n_obs": 380, "real_data": true }	keplerian	false	train	[ "inst_A", "inst_B", "inst_C" ]	2.65	{ "rv_semantics": "rv_only" }	3	380	4	6,317.5886	{ "instruments": [ "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "...	9,480.4	real_008.json	1.08	real	radial-velocity-planet-detection	real_008	Infer the planetary system from radial-velocity observations, including planet count and orbital parameters.	9
{ "engine": "keplerian", "instruments": [ { "gamma_ms": 10.3, "label": "inst_A", "sigma_jitter_ms": 0, "sigma_white_ms": 4.7 }, { "gamma_ms": -5.2, "label": "inst_B", "sigma_jitter_ms": 0, "sigma_white_ms": 5.3 } ], "integrator_preference": "whfast...	{ "n_obs": 88, "real_data": true }	keplerian	false	train	[ "inst_A", "inst_B" ]	5	{ "rv_semantics": "rv_only" }	2	88	1	2,668.840892	{ "instruments": [ "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_A", "inst_A", "inst_A", "...	250.5	real_009.json	1.24	real	radial-velocity-planet-detection	real_009	Infer the planetary system from radial-velocity observations, including planet count and orbital parameters.	2
{ "engine": "keplerian", "instruments": [ { "gamma_ms": -2232, "label": "inst_A", "sigma_jitter_ms": 0, "sigma_white_ms": 3.4 } ], "integrator_preference": "whfast", "los_axis": "x", "metadata": {}, "noise": { "gp": { "Q0": 1, "dQ": 0.1, "f": 0.5, ...	{ "n_obs": 33, "real_data": true }	keplerian	false	train	[ "inst_A" ]	3.4	{ "rv_semantics": "rv_only" }	1	33	1	41.9567	{ "instruments": [ "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "...	408.4	real_010.json	0.823	real	radial-velocity-planet-detection	real_010	Infer the planetary system from radial-velocity observations, including planet count and orbital parameters.	2
{ "engine": "keplerian", "instruments": [ { "gamma_ms": 0, "label": "inst_A", "sigma_jitter_ms": 0, "sigma_white_ms": 0.23 } ], "integrator_preference": "whfast", "los_axis": "x", "metadata": {}, "noise": { "gp": { "Q0": 1, "dQ": 0.1, "f": 0.5, "...	{ "n_obs": 187, "real_data": true }	keplerian	false	train	[ "inst_A" ]	0.23	{ "rv_semantics": "rv_only" }	1	187	3	2,609.9315	{ "instruments": [ "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "...	7.74	real_011.json	0.7	real	radial-velocity-planet-detection	real_011	Infer the planetary system from radial-velocity observations, including planet count and orbital parameters.	7
{ "engine": "keplerian", "instruments": [ { "gamma_ms": -9.5, "label": "inst_A", "sigma_jitter_ms": 0, "sigma_white_ms": 3.6 } ], "integrator_preference": "whfast", "los_axis": "x", "metadata": {}, "noise": { "gp": { "Q0": 1, "dQ": 0.1, "f": 0.5, ...	{ "n_obs": 85, "real_data": true }	keplerian	false	train	[ "inst_A" ]	3.6	{ "rv_semantics": "rv_only" }	1	85	1	2,029.5777	{ "instruments": [ "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "...	178.8	real_012.json	1.148	real	radial-velocity-planet-detection	real_012	Infer the planetary system from radial-velocity observations, including planet count and orbital parameters.	1
{ "engine": "keplerian", "instruments": [ { "gamma_ms": 12.85, "label": "inst_A", "sigma_jitter_ms": 0, "sigma_white_ms": 0.89 }, { "gamma_ms": -0.82, "label": "inst_B", "sigma_jitter_ms": 0, "sigma_white_ms": 0.61 } ], "integrator_preference": "wh...	{ "n_obs": 373, "real_data": true }	keplerian	false	train	[ "inst_A", "inst_B" ]	0.66	{ "rv_semantics": "rv_only" }	2	373	2	4,850.806954	{ "instruments": [ "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "...	28.82	real_013.json	0.77	real	radial-velocity-planet-detection	real_013	Infer the planetary system from radial-velocity observations, including planet count and orbital parameters.	7
{ "engine": "keplerian", "instruments": [ { "gamma_ms": 11.35, "label": "inst_A", "sigma_jitter_ms": 0, "sigma_white_ms": 1.3 }, { "gamma_ms": -7.5, "label": "inst_B", "sigma_jitter_ms": 0, "sigma_white_ms": 4.5 } ], "integrator_preference": "whfas...	{ "n_obs": 207, "real_data": true }	keplerian	false	train	[ "inst_A", "inst_B" ]	3.9	{ "rv_semantics": "rv_only" }	2	207	1	3,694.004547	{ "instruments": [ "inst_B", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_B", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "...	358	real_014.json	1.02	real	radial-velocity-planet-detection	real_014	Infer the planetary system from radial-velocity observations, including planet count and orbital parameters.	3
{ "engine": "keplerian", "instruments": [ { "gamma_ms": 0, "label": "inst_A", "sigma_jitter_ms": 0, "sigma_white_ms": 3.1 } ], "integrator_preference": "whfast", "los_axis": "x", "metadata": {}, "noise": { "gp": { "Q0": 1, "dQ": 0.1, "f": 0.5, "p...	{ "n_obs": 52, "real_data": true }	keplerian	false	train	[ "inst_A" ]	3.1	{ "rv_semantics": "rv_only" }	1	52	2	3,063.68	{ "instruments": [ "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "inst_A", "...	102.72	real_015.json	0.85	real	radial-velocity-planet-detection	real_015	Infer the planetary system from radial-velocity observations, including planet count and orbital parameters.	4

End of preview.

Dataset Card for Stargazer

Stargazer is a benchmark for exoplanet detection from radial-velocity time series. Each row is one benchmark task with the original task payload preserved.

Overview

Total tasks: 120
Repo: liuxinge/Stargazer
License: cc-by-4.0

This release includes benchmark tasks built from both generated systems and archival RV systems, presented as one benchmark collection.

What Each Row Contains

Each row keeps the original benchmark structure:

config
observations
difficulty_details
meta

It also adds a few summary fields for filtering in the Hugging Face viewer:

task_id
truth_difficulty
num_observations
num_instruments
num_planets
engine
has_gp_noise

Notes

Tasks in this release may contain up to 7 planets
This is a benchmark release, not a training corpus
Ground-truth configuration fields are included, so they should not be exposed to the evaluated agent

Downloads last month: 8

Total file size:

2.24 MB