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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
passed: bool
scored: bool
model_calls: int64
episodes: list<item: struct<passed: bool, scored: bool, model_calls: int64, task: string, scope: string, nativ (... 1590 chars omitted)
  child 0, item: struct<passed: bool, scored: bool, model_calls: int64, task: string, scope: string, native_record_sh (... 1578 chars omitted)
      child 0, passed: bool
      child 1, scored: bool
      child 2, model_calls: int64
      child 3, task: string
      child 4, scope: string
      child 5, native_record_sha256: string
      child 6, initial_state_max_error: double
      child 7, restored_terminal_state_max_error: double
      child 8, recorded_native_success: bool
      child 9, recorded_success_latched: bool
      child 10, terminal_predicate: bool
      child 11, conditions: struct<scan_axis_distance_m: bool, scan_axis_residual_xyz_m: bool, left_gripper_closed: bool, right_ (... 292 chars omitted)
          child 0, scan_axis_distance_m: bool
          child 1, scan_axis_residual_xyz_m: bool
          child 2, left_gripper_closed: bool
          child 3, right_gripper_closed: bool
          child 4, lower_pair_xy_distance_m: bool
          child 5, upper_pair_xy_distance_m: bool
          child 6, height_excess_over_targets_m: bool
          child 7, left_gripper_open: bool
          child 8, right_gripper_open: bool
          child 9, pot_root_height_m: bool
          child 10, left_native_tcp_to_handle_m: bool
          child 11, right_native_tcp_to_handle_m: bool
          child 
...
ps: int64
      child 15, image: string
      child 16, gpu: int64
tasks: list<item: struct<passed: bool, task: string, container: string, model: struct<kinex_identity: strin (... 486 chars omitted)
  child 0, item: struct<passed: bool, task: string, container: string, model: struct<kinex_identity: string, kinex_ve (... 474 chars omitted)
      child 0, passed: bool
      child 1, task: string
      child 2, container: string
      child 3, model: struct<kinex_identity: string, kinex_version: string, kinex_source: struct<revision: string, source: (... 236 chars omitted)
          child 0, kinex_identity: string
          child 1, kinex_version: string
          child 2, kinex_source: struct<revision: string, source: string>
              child 0, revision: string
              child 1, source: string
          child 3, model: string
          child 4, effort: string
          child 5, service_tier: string
          child 6, fresh_session: bool
          child 7, max_steps: null
          child 8, model_recording: bool
          child 9, compaction: string
          child 10, transport: string
          child 11, strict_usage: bool
          child 12, max_request_retries: int64
          child 13, usage_accounting: string
      child 4, actual_prompt_sha256: string
      child 5, authorized_account_matches: bool
      child 6, modified_instruction_in_first_user_message: bool
      child 7, instruction_policy: string
      child 8, provider_requests_checked: int64
scope: string
to
{'passed': Value('bool'), 'tasks': List({'passed': Value('bool'), 'task': Value('string'), 'container': Value('string'), 'model': {'kinex_identity': Value('string'), 'kinex_version': Value('string'), 'kinex_source': {'revision': Value('string'), 'source': Value('string')}, 'model': Value('string'), 'effort': Value('string'), 'service_tier': Value('string'), 'fresh_session': Value('bool'), 'max_steps': Value('null'), 'model_recording': Value('bool'), 'compaction': Value('string'), 'transport': Value('string'), 'strict_usage': Value('bool'), 'max_request_retries': Value('int64'), 'usage_accounting': Value('string')}, 'actual_prompt_sha256': Value('string'), 'authorized_account_matches': Value('bool'), 'modified_instruction_in_first_user_message': Value('bool'), 'instruction_policy': Value('string'), 'provider_requests_checked': Value('int64')}), 'scope': 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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
              passed: bool
              scored: bool
              model_calls: int64
              episodes: list<item: struct<passed: bool, scored: bool, model_calls: int64, task: string, scope: string, nativ (... 1590 chars omitted)
                child 0, item: struct<passed: bool, scored: bool, model_calls: int64, task: string, scope: string, native_record_sh (... 1578 chars omitted)
                    child 0, passed: bool
                    child 1, scored: bool
                    child 2, model_calls: int64
                    child 3, task: string
                    child 4, scope: string
                    child 5, native_record_sha256: string
                    child 6, initial_state_max_error: double
                    child 7, restored_terminal_state_max_error: double
                    child 8, recorded_native_success: bool
                    child 9, recorded_success_latched: bool
                    child 10, terminal_predicate: bool
                    child 11, conditions: struct<scan_axis_distance_m: bool, scan_axis_residual_xyz_m: bool, left_gripper_closed: bool, right_ (... 292 chars omitted)
                        child 0, scan_axis_distance_m: bool
                        child 1, scan_axis_residual_xyz_m: bool
                        child 2, left_gripper_closed: bool
                        child 3, right_gripper_closed: bool
                        child 4, lower_pair_xy_distance_m: bool
                        child 5, upper_pair_xy_distance_m: bool
                        child 6, height_excess_over_targets_m: bool
                        child 7, left_gripper_open: bool
                        child 8, right_gripper_open: bool
                        child 9, pot_root_height_m: bool
                        child 10, left_native_tcp_to_handle_m: bool
                        child 11, right_native_tcp_to_handle_m: bool
                        child 
              ...
              ps: int64
                    child 15, image: string
                    child 16, gpu: int64
              tasks: list<item: struct<passed: bool, task: string, container: string, model: struct<kinex_identity: strin (... 486 chars omitted)
                child 0, item: struct<passed: bool, task: string, container: string, model: struct<kinex_identity: string, kinex_ve (... 474 chars omitted)
                    child 0, passed: bool
                    child 1, task: string
                    child 2, container: string
                    child 3, model: struct<kinex_identity: string, kinex_version: string, kinex_source: struct<revision: string, source: (... 236 chars omitted)
                        child 0, kinex_identity: string
                        child 1, kinex_version: string
                        child 2, kinex_source: struct<revision: string, source: string>
                            child 0, revision: string
                            child 1, source: string
                        child 3, model: string
                        child 4, effort: string
                        child 5, service_tier: string
                        child 6, fresh_session: bool
                        child 7, max_steps: null
                        child 8, model_recording: bool
                        child 9, compaction: string
                        child 10, transport: string
                        child 11, strict_usage: bool
                        child 12, max_request_retries: int64
                        child 13, usage_accounting: string
                    child 4, actual_prompt_sha256: string
                    child 5, authorized_account_matches: bool
                    child 6, modified_instruction_in_first_user_message: bool
                    child 7, instruction_policy: string
                    child 8, provider_requests_checked: int64
              scope: string
              to
              {'passed': Value('bool'), 'tasks': List({'passed': Value('bool'), 'task': Value('string'), 'container': Value('string'), 'model': {'kinex_identity': Value('string'), 'kinex_version': Value('string'), 'kinex_source': {'revision': Value('string'), 'source': Value('string')}, 'model': Value('string'), 'effort': Value('string'), 'service_tier': Value('string'), 'fresh_session': Value('bool'), 'max_steps': Value('null'), 'model_recording': Value('bool'), 'compaction': Value('string'), 'transport': Value('string'), 'strict_usage': Value('bool'), 'max_request_retries': Value('int64'), 'usage_accounting': Value('string')}, 'actual_prompt_sha256': Value('string'), 'authorized_account_matches': Value('bool'), 'modified_instruction_in_first_user_message': Value('bool'), 'instruction_policy': Value('string'), 'provider_requests_checked': Value('int64')}), 'scope': Value('string')}
              because column names don't match

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Kinex Benchmark

Unified media and evidence storage for the Kinex Benchmark Space.

The current index compares Codex + GPT-6 Astra / high (164 episodes), Kinex + GPT-6 Astra / high (164 episodes), and Claude Code + Opus 5.5 / high (152 published episodes). Kinex + Opus 5.5 / high remains planned. Episode protocols record the task seed and native budget; pending tasks are excluded from success denominators.

Location Contents
data.json Current 164-task, four-combination catalog with 680 selected episodes
attempt-history.json 112 retained previous attempts, excluded from current metrics
sources.json Original provenance and immutable merged asset revision
variants/codex-astra/ Byte-preserved Codex Dataset snapshot
variants/kinex-astra/ Byte-preserved Kinex v0.10.0 Dataset snapshot
variants/cc-opus/ Claude Code pilot episodes with per-episode provenance, usage and media checks
history/<source>/<revision>/ Older evidence revisions still referenced by result pages
indices/<space>/ Derived navigation catalogs and current CSV exports for deprecated result Spaces
space-assets/ Small legacy downloads with bytes distinct from the Dataset snapshot
migration-manifest.json Source repository, revision, original path and hash for every asset
migration-validation.json Full remote inventory and hash verification summary

Videos, posters, observation images, native sessions, transcripts, workspaces, artifact files, protocols and native verification evidence share one Dataset. Migrated historical media were copied without transcoding. New pilot media carry explicit native-frame comparison receipts. Original evidence payloads and source snapshots are immutable; only the derived navigation catalogs rewrite URLs.

The deprecated Codex and Kinex v0.10.0 Spaces remain usable with this Dataset. Their original Datasets are retained. The separate Kinex v0.8 and RoboBallet publications, along with the Introducing RLE-Bench Space, are outside this migration.

See DATA_FORMAT.md for path mapping and source-repositories.json for frozen source identities.

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