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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
a: string
b: string
n_series: int64
n_configs: int64
identical_configs: int64
differing: struct<kuramoto/K1: string, kuramoto/K1.5: string, mackey_glass/tau17: string, mackey_glass/tau20: string, mackey_glass/tau30: string, tails/fbm/H0.8: string>
series_identical: int64
max_abs_diff_over_context_std: struct<kuramoto/K1: double, kuramoto/K1.5: double, mackey_glass/tau17: double, mackey_glass/tau20: double, mackey_glass/tau30: double, tails/fbm/H0.8: double>
vs
model: string
set: string
split: string
overall: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>
by_family: struct<chaos: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, in_prior: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, regime: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, tails: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>>
by_failure_type: struct<bursty: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, chaos_short_reach: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, control_in_prior: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, control_old_switch: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, control_unknowable: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, control_unpredictable: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, coupled_oscillators: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, delay_oscillator: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, heavy_tail_walk: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, long_memory: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, multifractal: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, periodic_map: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, recent_switch: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, smooth_chaos: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, switching: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>>
provenance: struct<script: string, git: string, time_utc: timestamp[s], host: string, torch: string, threads: int64, cuda: bool, argv: list<item: string>>
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1876, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 830, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 689, in write_rows_on_file
                  table = pa.concat_tables(self.current_rows)
                File "pyarrow/table.pxi", line 6268, in pyarrow.lib.concat_tables
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              a: string
              b: string
              n_series: int64
              n_configs: int64
              identical_configs: int64
              differing: struct<kuramoto/K1: string, kuramoto/K1.5: string, mackey_glass/tau17: string, mackey_glass/tau20: string, mackey_glass/tau30: string, tails/fbm/H0.8: string>
              series_identical: int64
              max_abs_diff_over_context_std: struct<kuramoto/K1: double, kuramoto/K1.5: double, mackey_glass/tau17: double, mackey_glass/tau20: double, mackey_glass/tau30: double, tails/fbm/H0.8: double>
              vs
              model: string
              set: string
              split: string
              overall: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>
              by_family: struct<chaos: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, in_prior: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, regime: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, tails: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>>
              by_failure_type: struct<bursty: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, chaos_short_reach: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, control_in_prior: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, control_old_switch: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, control_unknowable: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, control_unpredictable: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, coupled_oscillators: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, delay_oscillator: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, heavy_tail_walk: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, long_memory: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, multifractal: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, periodic_map: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, recent_switch: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, smooth_chaos: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>, switching: struct<n: int64, mase_rel_snaive: double, scrps_rel_snaive: double, mase_rel_oracle: double, cov80: double>>
              provenance: struct<script: string, git: string, time_utc: timestamp[s], host: string, torch: string, threads: int64, cuda: bool, argv: list<item: string>>
              
              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 1379, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1887, 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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set
string
split
string
grid
string
config_id
string
seed_index
int64
T
int64
H
int64
failure_type
string
reason
string
diag
public
otp.grids.chaos
mackey_glass/tau17
0
2,048
128
delay_oscillator
smooth delay-feedback oscillation; Timestral leans toward a periodic template and a nearest-neighbour forecaster beats it
diag
public
otp.grids.chaos
mackey_glass/tau17
1
2,048
128
delay_oscillator
smooth delay-feedback oscillation; Timestral leans toward a periodic template and a nearest-neighbour forecaster beats it
diag
public
otp.grids.chaos
mackey_glass/tau17
2
2,048
128
delay_oscillator
smooth delay-feedback oscillation; Timestral leans toward a periodic template and a nearest-neighbour forecaster beats it
diag
public
otp.grids.chaos
mackey_glass/tau17
3
2,048
128
delay_oscillator
smooth delay-feedback oscillation; Timestral leans toward a periodic template and a nearest-neighbour forecaster beats it
diag
public
otp.grids.chaos
mackey_glass/tau17
4
2,048
128
delay_oscillator
smooth delay-feedback oscillation; Timestral leans toward a periodic template and a nearest-neighbour forecaster beats it
diag
public
otp.grids.chaos
mackey_glass/tau17
5
2,048
128
delay_oscillator
smooth delay-feedback oscillation; Timestral leans toward a periodic template and a nearest-neighbour forecaster beats it
diag
public
otp.grids.chaos
mackey_glass/tau17
6
2,048
128
delay_oscillator
smooth delay-feedback oscillation; Timestral leans toward a periodic template and a nearest-neighbour forecaster beats it
diag
public
otp.grids.chaos
mackey_glass/tau17
7
2,048
128
delay_oscillator
smooth delay-feedback oscillation; Timestral leans toward a periodic template and a nearest-neighbour forecaster beats it
diag
public
otp.grids.chaos
mackey_glass/tau17
8
2,048
128
delay_oscillator
smooth delay-feedback oscillation; Timestral leans toward a periodic template and a nearest-neighbour forecaster beats it
diag
public
otp.grids.chaos
mackey_glass/tau17
9
2,048
128
delay_oscillator
smooth delay-feedback oscillation; Timestral leans toward a periodic template and a nearest-neighbour forecaster beats it
diag
public
otp.grids.chaos
mackey_glass/tau17
10
2,048
128
delay_oscillator
smooth delay-feedback oscillation; Timestral leans toward a periodic template and a nearest-neighbour forecaster beats it
diag
public
otp.grids.chaos
mackey_glass/tau17
11
2,048
128
delay_oscillator
smooth delay-feedback oscillation; Timestral leans toward a periodic template and a nearest-neighbour forecaster beats it
diag
public
otp.grids.chaos
mackey_glass/tau20
0
2,048
128
delay_oscillator
longer delay, less regular cycles; same pattern as tau = 17, larger gap
diag
public
otp.grids.chaos
mackey_glass/tau20
1
2,048
128
delay_oscillator
longer delay, less regular cycles; same pattern as tau = 17, larger gap
diag
public
otp.grids.chaos
mackey_glass/tau20
2
2,048
128
delay_oscillator
longer delay, less regular cycles; same pattern as tau = 17, larger gap
diag
public
otp.grids.chaos
mackey_glass/tau20
3
2,048
128
delay_oscillator
longer delay, less regular cycles; same pattern as tau = 17, larger gap
diag
public
otp.grids.chaos
mackey_glass/tau20
4
2,048
128
delay_oscillator
longer delay, less regular cycles; same pattern as tau = 17, larger gap
diag
public
otp.grids.chaos
mackey_glass/tau20
5
2,048
128
delay_oscillator
longer delay, less regular cycles; same pattern as tau = 17, larger gap
diag
public
otp.grids.chaos
mackey_glass/tau20
6
2,048
128
delay_oscillator
longer delay, less regular cycles; same pattern as tau = 17, larger gap
diag
public
otp.grids.chaos
mackey_glass/tau20
7
2,048
128
delay_oscillator
longer delay, less regular cycles; same pattern as tau = 17, larger gap
diag
public
otp.grids.chaos
mackey_glass/tau20
8
2,048
128
delay_oscillator
longer delay, less regular cycles; same pattern as tau = 17, larger gap
diag
public
otp.grids.chaos
mackey_glass/tau20
9
2,048
128
delay_oscillator
longer delay, less regular cycles; same pattern as tau = 17, larger gap
diag
public
otp.grids.chaos
mackey_glass/tau20
10
2,048
128
delay_oscillator
longer delay, less regular cycles; same pattern as tau = 17, larger gap
diag
public
otp.grids.chaos
mackey_glass/tau20
11
2,048
128
delay_oscillator
longer delay, less regular cycles; same pattern as tau = 17, larger gap
diag
public
otp.grids.chaos
mackey_glass/tau30
0
2,048
128
delay_oscillator
long-delay chaos in the delay equation; the largest Mackey-Glass gap in the map
diag
public
otp.grids.chaos
mackey_glass/tau30
1
2,048
128
delay_oscillator
long-delay chaos in the delay equation; the largest Mackey-Glass gap in the map
diag
public
otp.grids.chaos
mackey_glass/tau30
2
2,048
128
delay_oscillator
long-delay chaos in the delay equation; the largest Mackey-Glass gap in the map
diag
public
otp.grids.chaos
mackey_glass/tau30
3
2,048
128
delay_oscillator
long-delay chaos in the delay equation; the largest Mackey-Glass gap in the map
diag
public
otp.grids.chaos
mackey_glass/tau30
4
2,048
128
delay_oscillator
long-delay chaos in the delay equation; the largest Mackey-Glass gap in the map
diag
public
otp.grids.chaos
mackey_glass/tau30
5
2,048
128
delay_oscillator
long-delay chaos in the delay equation; the largest Mackey-Glass gap in the map
diag
public
otp.grids.chaos
mackey_glass/tau30
6
2,048
128
delay_oscillator
long-delay chaos in the delay equation; the largest Mackey-Glass gap in the map
diag
public
otp.grids.chaos
mackey_glass/tau30
7
2,048
128
delay_oscillator
long-delay chaos in the delay equation; the largest Mackey-Glass gap in the map
diag
public
otp.grids.chaos
mackey_glass/tau30
8
2,048
128
delay_oscillator
long-delay chaos in the delay equation; the largest Mackey-Glass gap in the map
diag
public
otp.grids.chaos
mackey_glass/tau30
9
2,048
128
delay_oscillator
long-delay chaos in the delay equation; the largest Mackey-Glass gap in the map
diag
public
otp.grids.chaos
mackey_glass/tau30
10
2,048
128
delay_oscillator
long-delay chaos in the delay equation; the largest Mackey-Glass gap in the map
diag
public
otp.grids.chaos
mackey_glass/tau30
11
2,048
128
delay_oscillator
long-delay chaos in the delay equation; the largest Mackey-Glass gap in the map
diag
public
otp.grids.chaos
rossler/c5.7
0
2,048
128
smooth_chaos
Rossler chaos: near-periodic loops whose timing drifts
diag
public
otp.grids.chaos
rossler/c5.7
1
2,048
128
smooth_chaos
Rossler chaos: near-periodic loops whose timing drifts
diag
public
otp.grids.chaos
rossler/c5.7
2
2,048
128
smooth_chaos
Rossler chaos: near-periodic loops whose timing drifts
diag
public
otp.grids.chaos
rossler/c5.7
3
2,048
128
smooth_chaos
Rossler chaos: near-periodic loops whose timing drifts
diag
public
otp.grids.chaos
rossler/c5.7
4
2,048
128
smooth_chaos
Rossler chaos: near-periodic loops whose timing drifts
diag
public
otp.grids.chaos
rossler/c5.7
5
2,048
128
smooth_chaos
Rossler chaos: near-periodic loops whose timing drifts
diag
public
otp.grids.chaos
rossler/c5.7
6
2,048
128
smooth_chaos
Rossler chaos: near-periodic loops whose timing drifts
diag
public
otp.grids.chaos
rossler/c5.7
7
2,048
128
smooth_chaos
Rossler chaos: near-periodic loops whose timing drifts
diag
public
otp.grids.chaos
rossler/c5.7
8
2,048
128
smooth_chaos
Rossler chaos: near-periodic loops whose timing drifts
diag
public
otp.grids.chaos
rossler/c5.7
9
2,048
128
smooth_chaos
Rossler chaos: near-periodic loops whose timing drifts
diag
public
otp.grids.chaos
rossler/c5.7
10
2,048
128
smooth_chaos
Rossler chaos: near-periodic loops whose timing drifts
diag
public
otp.grids.chaos
rossler/c5.7
11
2,048
128
smooth_chaos
Rossler chaos: near-periodic loops whose timing drifts
diag
public
otp.grids.chaos
rossler/c9
0
2,048
128
smooth_chaos
Rossler with more irregular loop sizes
diag
public
otp.grids.chaos
rossler/c9
1
2,048
128
smooth_chaos
Rossler with more irregular loop sizes
diag
public
otp.grids.chaos
rossler/c9
2
2,048
128
smooth_chaos
Rossler with more irregular loop sizes
diag
public
otp.grids.chaos
rossler/c9
3
2,048
128
smooth_chaos
Rossler with more irregular loop sizes
diag
public
otp.grids.chaos
rossler/c9
4
2,048
128
smooth_chaos
Rossler with more irregular loop sizes
diag
public
otp.grids.chaos
rossler/c9
5
2,048
128
smooth_chaos
Rossler with more irregular loop sizes
diag
public
otp.grids.chaos
rossler/c9
6
2,048
128
smooth_chaos
Rossler with more irregular loop sizes
diag
public
otp.grids.chaos
rossler/c9
7
2,048
128
smooth_chaos
Rossler with more irregular loop sizes
diag
public
otp.grids.chaos
rossler/c9
8
2,048
128
smooth_chaos
Rossler with more irregular loop sizes
diag
public
otp.grids.chaos
rossler/c9
9
2,048
128
smooth_chaos
Rossler with more irregular loop sizes
diag
public
otp.grids.chaos
rossler/c9
10
2,048
128
smooth_chaos
Rossler with more irregular loop sizes
diag
public
otp.grids.chaos
rossler/c9
11
2,048
128
smooth_chaos
Rossler with more irregular loop sizes
diag
public
otp.grids.chaos
kuramoto/K0
0
2,048
128
coupled_oscillators
incoherent coupled oscillators: a sum of many drifting phases
diag
public
otp.grids.chaos
kuramoto/K0
1
2,048
128
coupled_oscillators
incoherent coupled oscillators: a sum of many drifting phases
diag
public
otp.grids.chaos
kuramoto/K0
2
2,048
128
coupled_oscillators
incoherent coupled oscillators: a sum of many drifting phases
diag
public
otp.grids.chaos
kuramoto/K0
3
2,048
128
coupled_oscillators
incoherent coupled oscillators: a sum of many drifting phases
diag
public
otp.grids.chaos
kuramoto/K0
4
2,048
128
coupled_oscillators
incoherent coupled oscillators: a sum of many drifting phases
diag
public
otp.grids.chaos
kuramoto/K0
5
2,048
128
coupled_oscillators
incoherent coupled oscillators: a sum of many drifting phases
diag
public
otp.grids.chaos
kuramoto/K0
6
2,048
128
coupled_oscillators
incoherent coupled oscillators: a sum of many drifting phases
diag
public
otp.grids.chaos
kuramoto/K0
7
2,048
128
coupled_oscillators
incoherent coupled oscillators: a sum of many drifting phases
diag
public
otp.grids.chaos
kuramoto/K0
8
2,048
128
coupled_oscillators
incoherent coupled oscillators: a sum of many drifting phases
diag
public
otp.grids.chaos
kuramoto/K0
9
2,048
128
coupled_oscillators
incoherent coupled oscillators: a sum of many drifting phases
diag
public
otp.grids.chaos
kuramoto/K0
10
2,048
128
coupled_oscillators
incoherent coupled oscillators: a sum of many drifting phases
diag
public
otp.grids.chaos
kuramoto/K0
11
2,048
128
coupled_oscillators
incoherent coupled oscillators: a sum of many drifting phases
diag
public
otp.grids.chaos
kuramoto/K1
0
2,048
128
coupled_oscillators
partially synchronized oscillators; the largest gap to the oracle in the map
diag
public
otp.grids.chaos
kuramoto/K1
1
2,048
128
coupled_oscillators
partially synchronized oscillators; the largest gap to the oracle in the map
diag
public
otp.grids.chaos
kuramoto/K1
2
2,048
128
coupled_oscillators
partially synchronized oscillators; the largest gap to the oracle in the map
diag
public
otp.grids.chaos
kuramoto/K1
3
2,048
128
coupled_oscillators
partially synchronized oscillators; the largest gap to the oracle in the map
diag
public
otp.grids.chaos
kuramoto/K1
4
2,048
128
coupled_oscillators
partially synchronized oscillators; the largest gap to the oracle in the map
diag
public
otp.grids.chaos
kuramoto/K1
5
2,048
128
coupled_oscillators
partially synchronized oscillators; the largest gap to the oracle in the map
diag
public
otp.grids.chaos
kuramoto/K1
6
2,048
128
coupled_oscillators
partially synchronized oscillators; the largest gap to the oracle in the map
diag
public
otp.grids.chaos
kuramoto/K1
7
2,048
128
coupled_oscillators
partially synchronized oscillators; the largest gap to the oracle in the map
diag
public
otp.grids.chaos
kuramoto/K1
8
2,048
128
coupled_oscillators
partially synchronized oscillators; the largest gap to the oracle in the map
diag
public
otp.grids.chaos
kuramoto/K1
9
2,048
128
coupled_oscillators
partially synchronized oscillators; the largest gap to the oracle in the map
diag
public
otp.grids.chaos
kuramoto/K1
10
2,048
128
coupled_oscillators
partially synchronized oscillators; the largest gap to the oracle in the map
diag
public
otp.grids.chaos
kuramoto/K1
11
2,048
128
coupled_oscillators
partially synchronized oscillators; the largest gap to the oracle in the map
diag
public
otp.grids.chaos
kuramoto/K1.5
0
2,048
128
coupled_oscillators
near the synchronization threshold
diag
public
otp.grids.chaos
kuramoto/K1.5
1
2,048
128
coupled_oscillators
near the synchronization threshold
diag
public
otp.grids.chaos
kuramoto/K1.5
2
2,048
128
coupled_oscillators
near the synchronization threshold
diag
public
otp.grids.chaos
kuramoto/K1.5
3
2,048
128
coupled_oscillators
near the synchronization threshold
diag
public
otp.grids.chaos
kuramoto/K1.5
4
2,048
128
coupled_oscillators
near the synchronization threshold
diag
public
otp.grids.chaos
kuramoto/K1.5
5
2,048
128
coupled_oscillators
near the synchronization threshold
diag
public
otp.grids.chaos
kuramoto/K1.5
6
2,048
128
coupled_oscillators
near the synchronization threshold
diag
public
otp.grids.chaos
kuramoto/K1.5
7
2,048
128
coupled_oscillators
near the synchronization threshold
diag
public
otp.grids.chaos
kuramoto/K1.5
8
2,048
128
coupled_oscillators
near the synchronization threshold
diag
public
otp.grids.chaos
kuramoto/K1.5
9
2,048
128
coupled_oscillators
near the synchronization threshold
diag
public
otp.grids.chaos
kuramoto/K1.5
10
2,048
128
coupled_oscillators
near the synchronization threshold
diag
public
otp.grids.chaos
kuramoto/K1.5
11
2,048
128
coupled_oscillators
near the synchronization threshold
diag
public
otp.grids.chaos
lorenz63/rho28
0
2,048
128
chaos_short_reach
Lorenz chaos: the gap lives within one to three Lyapunov times
diag
public
otp.grids.chaos
lorenz63/rho28
1
2,048
128
chaos_short_reach
Lorenz chaos: the gap lives within one to three Lyapunov times
diag
public
otp.grids.chaos
lorenz63/rho28
2
2,048
128
chaos_short_reach
Lorenz chaos: the gap lives within one to three Lyapunov times
diag
public
otp.grids.chaos
lorenz63/rho28
3
2,048
128
chaos_short_reach
Lorenz chaos: the gap lives within one to three Lyapunov times
End of preview.

Off-the-Prior benchmarks

Synthetic forecasting benchmarks built to find where time-series foundation models trained on simple synthetic priors stop working: chaotic and delay-feedback dynamics, coupled oscillators, regime switches, heavy tails, long memory, bursts, learned mixtures of these, and in-prior controls. Every series includes the oracle's 21 quantiles: a Monte Carlo continuation of the true simulator from its true state, so models can be compared with the best achievable forecast, not only with each other.

  • diag: 372 series (372 public, 0 held-out), each tagged with why it is hard.
  • lb: 3776 series (1888 public, 1888 held-out), all simulator configs, several context lengths and horizons.

Files are NumPy .npz archives (load with numpy.load; the Hugging Face datasets loader is not used). Each .npz file holds series_id, context (N, T), future (N, H), oracle_q (N, H, 21), period (N,) and a JSON meta string per series (generator, parameters, tags, reason). bench/build.py rebuilds the files from the config lists in configs/; *_SHA256SUMS lists content hashes of the published files. The published files were built on Windows 11, Python 3.12, numpy 2.4.6, scipy 1.18.0; a rebuild on Linux, Python 3.13, numpy 2.5.3, scipy 1.18.1 matched array-for-array for 25 of 31 diagnostic configs, and in 6 (kuramoto/K1, kuramoto/K1.5, mackey_glass/tau17, mackey_glass/tau20, mackey_glass/tau30, tails/fbm/H0.8) platform floating-point differences change the simulated paths (data/cross_platform_diag.json). Use these files, not a rebuild, for reported scores.

Evaluation: python bench/eval.py --set diag --predictions <dir>; see the repository README.

The seeds and generator code are public. The held-out leaderboard files exist for convenience, not secrecy.

License: the data are generated by the project's own code (Apache 2.0). No third-party data are included.

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