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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
schema_version: int64
match_id: string
base_seed: int64
fighter_a: string
fighter_b: string
stage: string
completed: bool
match_status: string
winner: string
end_reason: string
rounds_a: int64
rounds_b: int64
frames: int64
detector_policy_order: list<item: string>
  child 0, item: string
detector_action_classes: list<item: string>
  child 0, item: string
detector_timeline_encoding: string
detector_timeline_b64: string
source_input_sha256: string
track_divergences: int64
base_url: string
accepted: list<item: struct<match_id: string, input_sha256: string, frames: int64, track_divergences: int64>>
  child 0, item: struct<match_id: string, input_sha256: string, frames: int64, track_divergences: int64>
      child 0, match_id: string
      child 1, input_sha256: string
      child 2, frames: int64
      child 3, track_divergences: int64
explicit_match_ids: list<item: string>
  child 0, item: string
public_network_read_only: bool
files: struct<matches: struct<name: string, sha256: string>, frames: struct<name: string, sha256: string>,  (... 45 chars omitted)
  child 0, matches: struct<name: string, sha256: string>
      child 0, name: string
      child 1, sha256: string
  child 1, frames: struct<name: string, sha256: string>
      child 0, name: string
      child 1, sha256: string
  child 2, events: struct<name: string, sha256: string>
      child 0, name: string
      child 1, sha256: string
requested_limit: int64
experiment: string
rejected: list<item: struct<match_id: string, reasons: list<item: string>>>
  child 0, item: struct<match_id: string, reasons: list<item: string>>
      child 0, match_id: string
      child 1, reasons: list<item: string>
          child 0, item: string
live_actions: bool
source_profile: string
source_hashes: struct<engine: string, moves: string, types: string, roster: string, wire: string, gym: string, expo (... 57 chars omitted)
  child 0, engine: string
  child 1, moves: string
  child 2, types: string
  child 3, roster: string
  child 4, wire: string
  child 5, gym: string
  child 6, exporter: string
  child 7, replay_sim: string
  child 8, shadow_harness: string
passive_detector_policies: list<item: string>
  child 0, item: string
roster: list<item: string>
  child 0, item: string
offline_control_only: bool
ssh_street_fighter_commit: string
selection_or_tuning: bool
status: string
limitations: list<item: string>
  child 0, item: string
to
{'schema_version': Value('int64'), 'experiment': Value('string'), 'status': Value('string'), 'offline_control_only': Value('bool'), 'public_network_read_only': Value('bool'), 'live_actions': Value('bool'), 'selection_or_tuning': Value('bool'), 'source_profile': Value('string'), 'ssh_street_fighter_commit': Value('string'), 'source_hashes': {'engine': Value('string'), 'moves': Value('string'), 'types': Value('string'), 'roster': Value('string'), 'wire': Value('string'), 'gym': Value('string'), 'exporter': Value('string'), 'replay_sim': Value('string'), 'shadow_harness': Value('string')}, 'base_url': Value('string'), 'requested_limit': Value('int64'), 'explicit_match_ids': List(Value('string')), 'roster': List(Value('string')), 'passive_detector_policies': List(Value('string')), 'accepted': List({'match_id': Value('string'), 'input_sha256': Value('string'), 'frames': Value('int64'), 'track_divergences': Value('int64')}), 'rejected': List({'match_id': Value('string'), 'reasons': List(Value('string'))}), 'files': {'matches': {'name': Value('string'), 'sha256': Value('string')}, 'frames': {'name': Value('string'), 'sha256': Value('string')}, 'events': {'name': Value('string'), 'sha256': Value('string')}}, 'limitations': List(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 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
              schema_version: int64
              match_id: string
              base_seed: int64
              fighter_a: string
              fighter_b: string
              stage: string
              completed: bool
              match_status: string
              winner: string
              end_reason: string
              rounds_a: int64
              rounds_b: int64
              frames: int64
              detector_policy_order: list<item: string>
                child 0, item: string
              detector_action_classes: list<item: string>
                child 0, item: string
              detector_timeline_encoding: string
              detector_timeline_b64: string
              source_input_sha256: string
              track_divergences: int64
              base_url: string
              accepted: list<item: struct<match_id: string, input_sha256: string, frames: int64, track_divergences: int64>>
                child 0, item: struct<match_id: string, input_sha256: string, frames: int64, track_divergences: int64>
                    child 0, match_id: string
                    child 1, input_sha256: string
                    child 2, frames: int64
                    child 3, track_divergences: int64
              explicit_match_ids: list<item: string>
                child 0, item: string
              public_network_read_only: bool
              files: struct<matches: struct<name: string, sha256: string>, frames: struct<name: string, sha256: string>,  (... 45 chars omitted)
                child 0, matches: struct<name: string, sha256: string>
                    child 0, name: string
                    child 1, sha256: string
                child 1, frames: struct<name: string, sha256: string>
                    child 0, name: string
                    child 1, sha256: string
                child 2, events: struct<name: string, sha256: string>
                    child 0, name: string
                    child 1, sha256: string
              requested_limit: int64
              experiment: string
              rejected: list<item: struct<match_id: string, reasons: list<item: string>>>
                child 0, item: struct<match_id: string, reasons: list<item: string>>
                    child 0, match_id: string
                    child 1, reasons: list<item: string>
                        child 0, item: string
              live_actions: bool
              source_profile: string
              source_hashes: struct<engine: string, moves: string, types: string, roster: string, wire: string, gym: string, expo (... 57 chars omitted)
                child 0, engine: string
                child 1, moves: string
                child 2, types: string
                child 3, roster: string
                child 4, wire: string
                child 5, gym: string
                child 6, exporter: string
                child 7, replay_sim: string
                child 8, shadow_harness: string
              passive_detector_policies: list<item: string>
                child 0, item: string
              roster: list<item: string>
                child 0, item: string
              offline_control_only: bool
              ssh_street_fighter_commit: string
              selection_or_tuning: bool
              status: string
              limitations: list<item: string>
                child 0, item: string
              to
              {'schema_version': Value('int64'), 'experiment': Value('string'), 'status': Value('string'), 'offline_control_only': Value('bool'), 'public_network_read_only': Value('bool'), 'live_actions': Value('bool'), 'selection_or_tuning': Value('bool'), 'source_profile': Value('string'), 'ssh_street_fighter_commit': Value('string'), 'source_hashes': {'engine': Value('string'), 'moves': Value('string'), 'types': Value('string'), 'roster': Value('string'), 'wire': Value('string'), 'gym': Value('string'), 'exporter': Value('string'), 'replay_sim': Value('string'), 'shadow_harness': Value('string')}, 'base_url': Value('string'), 'requested_limit': Value('int64'), 'explicit_match_ids': List(Value('string')), 'roster': List(Value('string')), 'passive_detector_policies': List(Value('string')), 'accepted': List({'match_id': Value('string'), 'input_sha256': Value('string'), 'frames': Value('int64'), 'track_divergences': Value('int64')}), 'rejected': List({'match_id': Value('string'), 'reasons': List(Value('string'))}), 'files': {'matches': {'name': Value('string'), 'sha256': Value('string')}, 'frames': {'name': Value('string'), 'sha256': Value('string')}, 'events': {'name': Value('string'), 'sha256': Value('string')}}, 'limitations': List(Value('string'))}
              because column names don't match

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SSH Fighter public replay passive shadow v1

Read-only, current-epoch shadow evaluation over the latest 20 public versus records at retrieval. Nineteen clean KOs were accepted (13 XENON→OMEGA seat orders, 6 OMEGA→XENON); one forfeit was rejected. All 25,252 accepted replay frames were re-simulated against exact canonical main 3caedf3435c12996cf4d34fb5ac76c7cd7b75076 with zero public-track divergences.

Every frame preserves nine counterfactual Gym policy votes, the literal HP-kick oscillator state, policy disagreement/support, agreement-CUSUM, unanswered-damage momentum, and exact replay HP-change labels. These signals never controlled a fighter and must not be interpreted as either live controller's intent.

Frozen 30-frame future-hit evaluation (912 causal samples):

Fixed descriptive trigger Samples Future hit rate
Neither 348 15.23%
Oscillator only 290 34.48%
Policy majority only 45 51.11%
Both 229 72.93%

The frozen oscillator ensemble scores AUROC 0.7180 / AUPRC 0.5821; aggregate policy attack-fire fraction scores 0.7408 / 0.6050. The overlap result is descriptive replication, not an optimized router threshold. This slice is narrow and correlated—only repeated OMEGA/XENON traffic—so it is not broad roster or independent-player validation.

Server hit/combo telemetry is excluded. Labels are derived from authoritative replay/track HP changes. sf-6 alone is not treated as commit attestation; the manifest pins source hashes and requires zero exact-engine track divergence.

W&B evaluation: https://wandb.ai/lisamegawatts-decentralized-intelligence-agency/symbiogenesis/runs/2lhuvcjn

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