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LisaMegaWatts
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sshfighter-combat-kick-oscillator-v1

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Time Series Forecasting

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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
baseline_metrics: struct<dev: struct<cross_coherence: struct<auprc: double, auroc: double>, dealt_ewma: struct<auprc:  (... 1397 chars omitted)
  child 0, dev: struct<cross_coherence: struct<auprc: double, auroc: double>, dealt_ewma: struct<auprc: double, auro (... 388 chars omitted)
      child 0, cross_coherence: struct<auprc: double, auroc: double>
          child 0, auprc: double
          child 1, auroc: double
      child 1, dealt_ewma: struct<auprc: double, auroc: double>
          child 0, auprc: double
          child 1, auroc: double
      child 2, energy_imbalance: struct<auprc: double, auroc: double>
          child 0, auprc: double
          child 1, auroc: double
      child 3, hit_recency: struct<auprc: double, auroc: double>
          child 0, auprc: double
          child 1, auroc: double
      child 4, phase_alignment: struct<auprc: double, auroc: double>
          child 0, auprc: double
          child 1, auroc: double
      child 5, received_energy: struct<auprc: double, auroc: double>
          child 0, auprc: double
          child 1, auroc: double
      child 6, received_ewma: struct<auprc: double, auroc: double>
          child 0, auprc: double
          child 1, auroc: double
      child 7, recent_dealt: struct<auprc: double, auroc: double>
          child 0, auprc: double
          child 1, auroc: double
      child 8, recent_received: struct<auprc: double, auroc: double>
          child 0, auprc: double
          child 1, auroc: double
  child 1, ho
...
oc: double>, holdout: s (... 95 chars omitted)
      child 0, best_dev_auprc: double
      child 1, metrics: struct<dev: struct<auprc: double, auroc: double>, holdout: struct<auprc: double, auroc: double>, tra (... 41 chars omitted)
          child 0, dev: struct<auprc: double, auroc: double>
              child 0, auprc: double
              child 1, auroc: double
          child 1, holdout: struct<auprc: double, auroc: double>
              child 0, auprc: double
              child 1, auroc: double
          child 2, train: struct<auprc: double, auroc: double>
              child 0, auprc: double
              child 1, auroc: double
      child 2, seed: int64
status: string
wandb_runs: list<item: string>
  child 0, item: string
retrospective_holdout_seeds: list<item: int64>
  child 0, item: int64
taus: list<item: double>
  child 0, item: double
note: string
horizon_frames: int64
periods: list<item: double>
  child 0, item: double
source_manifest_sha256: string
samples: struct<dev: int64, holdout: int64, train: int64>
  child 0, dev: int64
  child 1, holdout: int64
  child 2, train: int64
sample_frames: list<item: int64>
  child 0, item: int64
source_commit: string
source_monitor_events_sha256: string
dev_seeds: list<item: int64>
  child 0, item: int64
train_seeds: list<item: int64>
  child 0, item: int64
source_matches_sha256: string
positive_rate: struct<dev: double, holdout: double, train: double>
  child 0, dev: double
  child 1, holdout: double
  child 2, train: double
to
{'dev_seeds': List(Value('int64')), 'horizon_frames': Value('int64'), 'note': Value('string'), 'periods': List(Value('float64')), 'positive_rate': {'dev': Value('float64'), 'holdout': Value('float64'), 'train': Value('float64')}, 'retrospective_holdout_seeds': List(Value('int64')), 'sample_frames': List(Value('int64')), 'samples': {'dev': Value('int64'), 'holdout': Value('int64'), 'train': Value('int64')}, 'source_commit': Value('string'), 'source_manifest_sha256': Value('string'), 'source_matches_sha256': Value('string'), 'source_monitor_events_sha256': Value('string'), 'taus': List(Value('float64')), 'train_seeds': List(Value('int64'))}
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/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 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
              baseline_metrics: struct<dev: struct<cross_coherence: struct<auprc: double, auroc: double>, dealt_ewma: struct<auprc:  (... 1397 chars omitted)
                child 0, dev: struct<cross_coherence: struct<auprc: double, auroc: double>, dealt_ewma: struct<auprc: double, auro (... 388 chars omitted)
                    child 0, cross_coherence: struct<auprc: double, auroc: double>
                        child 0, auprc: double
                        child 1, auroc: double
                    child 1, dealt_ewma: struct<auprc: double, auroc: double>
                        child 0, auprc: double
                        child 1, auroc: double
                    child 2, energy_imbalance: struct<auprc: double, auroc: double>
                        child 0, auprc: double
                        child 1, auroc: double
                    child 3, hit_recency: struct<auprc: double, auroc: double>
                        child 0, auprc: double
                        child 1, auroc: double
                    child 4, phase_alignment: struct<auprc: double, auroc: double>
                        child 0, auprc: double
                        child 1, auroc: double
                    child 5, received_energy: struct<auprc: double, auroc: double>
                        child 0, auprc: double
                        child 1, auroc: double
                    child 6, received_ewma: struct<auprc: double, auroc: double>
                        child 0, auprc: double
                        child 1, auroc: double
                    child 7, recent_dealt: struct<auprc: double, auroc: double>
                        child 0, auprc: double
                        child 1, auroc: double
                    child 8, recent_received: struct<auprc: double, auroc: double>
                        child 0, auprc: double
                        child 1, auroc: double
                child 1, ho
              ...
              oc: double>, holdout: s (... 95 chars omitted)
                    child 0, best_dev_auprc: double
                    child 1, metrics: struct<dev: struct<auprc: double, auroc: double>, holdout: struct<auprc: double, auroc: double>, tra (... 41 chars omitted)
                        child 0, dev: struct<auprc: double, auroc: double>
                            child 0, auprc: double
                            child 1, auroc: double
                        child 1, holdout: struct<auprc: double, auroc: double>
                            child 0, auprc: double
                            child 1, auroc: double
                        child 2, train: struct<auprc: double, auroc: double>
                            child 0, auprc: double
                            child 1, auroc: double
                    child 2, seed: int64
              status: string
              wandb_runs: list<item: string>
                child 0, item: string
              retrospective_holdout_seeds: list<item: int64>
                child 0, item: int64
              taus: list<item: double>
                child 0, item: double
              note: string
              horizon_frames: int64
              periods: list<item: double>
                child 0, item: double
              source_manifest_sha256: string
              samples: struct<dev: int64, holdout: int64, train: int64>
                child 0, dev: int64
                child 1, holdout: int64
                child 2, train: int64
              sample_frames: list<item: int64>
                child 0, item: int64
              source_commit: string
              source_monitor_events_sha256: string
              dev_seeds: list<item: int64>
                child 0, item: int64
              train_seeds: list<item: int64>
                child 0, item: int64
              source_matches_sha256: string
              positive_rate: struct<dev: double, holdout: double, train: double>
                child 0, dev: double
                child 1, holdout: double
                child 2, train: double
              to
              {'dev_seeds': List(Value('int64')), 'horizon_frames': Value('int64'), 'note': Value('string'), 'periods': List(Value('float64')), 'positive_rate': {'dev': Value('float64'), 'holdout': Value('float64'), 'train': Value('float64')}, 'retrospective_holdout_seeds': List(Value('int64')), 'sample_frames': List(Value('int64')), 'samples': {'dev': Value('int64'), 'holdout': Value('int64'), 'train': Value('int64')}, 'source_commit': Value('string'), 'source_manifest_sha256': Value('string'), 'source_matches_sha256': Value('string'), 'source_monitor_events_sha256': Value('string'), 'taus': List(Value('float64')), 'train_seeds': List(Value('int64'))}
              because column names don't match

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SSH Fighter Combat-Kick Oscillator v1

Passive offline detector evidence over the validated exact-engine Gym Leg-2 matrix. Authoritative HP-loss events are literal impulses into eight fixed complex oscillator modes. The modes are never trained; three tiny linear readouts predict whether the observed side will receive damage in the next 30 frames.

The grouped retrospective holdout result is AUROC 0.75796 and AUPRC 0.47426 (positive prevalence 0.26093). The strongest cheap causal baseline, received damage EWMA, is AUROC 0.69470 / AUPRC 0.36525.

Important limits:

This uses exact-engine HP changes, not server hit/combo telemetry.
HP-loss impulses are not kick-button inputs.
Source snapshot f478c1320f86f428c882e391c11e97ca4cf7b47b is byte-identical to canonical main 3caedf3435c12996cf4d34fb5ac76c7cd7b75076 across engine, moves, types, roster, bot wire, and replay simulation, but the episodes retain their historical pre-intervention epoch label.
The holdout seeds were previously visible in aggregate and are not sealed.
No live transport, policy mutation, or balance intervention is represented.

combat_kick_dataset.npz contains the causal samples and monitor values; checkpoint_seed*.pt are the three readout-only checkpoints; dataset.json and results.json contain provenance and full metrics.

Downloads last month: 51

Total file size:

44 MB