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OnepointfiveHz
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g8_100_tsk

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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
gid: int64
mode: int64
mtime_ns: int64
path: string
type: string
uid: int64
xattrs: struct<>
sha256: string
size: int64
tar: string
snapshots: struct<pure_tasks_source_snapshot.jsonl.zst: struct<bytes: int64, sha256: string>, rubrics_source_sn (... 55 chars omitted)
  child 0, pure_tasks_source_snapshot.jsonl.zst: struct<bytes: int64, sha256: string>
      child 0, bytes: int64
      child 1, sha256: string
  child 1, rubrics_source_snapshot.jsonl.zst: struct<bytes: int64, sha256: string>
      child 0, bytes: int64
      child 1, sha256: string
verification_report: string
metadata_normalization: struct<acls: string, file_flags: string, macos_xattrs: string>
  child 0, acls: string
  child 1, file_flags: string
  child 2, macos_xattrs: string
selection_manifest: string
created_at_utc: string
archives: struct<pure_tasks: struct<bytes: int64, filename: string, restored_roots: list<item: string>, sha256 (... 383 chars omitted)
  child 0, pure_tasks: struct<bytes: int64, filename: string, restored_roots: list<item: string>, sha256: string, source_sn (... 126 chars omitted)
      child 0, bytes: int64
      child 1, filename: string
      child 2, restored_roots: list<item: string>
          child 0, item: string
      child 3, sha256: string
      child 4, source_snapshot: string
      child 5, summary: struct<member_count: int64, regular_file_bytes: int64, types: struct<directory: int64, file: int64>>
          child 0, member_count: int64
          child 1, regular_file_bytes: int64
          child 2, types: struct<directory: int64, file: int64>
              child 0, directory: int64
              child 1, file: int64
  child 1, rubrics: struct<bytes: int64, filename: string, restored_roots: list<item: string>, sha256: string, source_sn (... 126 chars omitted)
      child 0, bytes: int64
      child 1, filename: string
      child 2, restored_roots: list<item: string>
          child 0, item: string
      child 3, sha256: string
      child 4, source_snapshot: string
      child 5, summary: struct<member_count: int64, regular_file_bytes: int64, types: struct<directory: int64, file: int64>>
          child 0, member_count: int64
          child 1, regular_file_bytes: int64
          child 2, types: struct<directory: int64, file: int64>
              child 0, directory: int64
              child 1, file: int64
compression: string
batch: string
to
{'archives': {'pure_tasks': {'bytes': Value('int64'), 'filename': Value('string'), 'restored_roots': List(Value('string')), 'sha256': Value('string'), 'source_snapshot': Value('string'), 'summary': {'member_count': Value('int64'), 'regular_file_bytes': Value('int64'), 'types': {'directory': Value('int64'), 'file': Value('int64')}}}, 'rubrics': {'bytes': Value('int64'), 'filename': Value('string'), 'restored_roots': List(Value('string')), 'sha256': Value('string'), 'source_snapshot': Value('string'), 'summary': {'member_count': Value('int64'), 'regular_file_bytes': Value('int64'), 'types': {'directory': Value('int64'), 'file': Value('int64')}}}}, 'batch': Value('string'), 'compression': Value('string'), 'created_at_utc': Value('string'), 'metadata_normalization': {'acls': Value('string'), 'file_flags': Value('string'), 'macos_xattrs': Value('string')}, 'selection_manifest': Value('string'), 'snapshots': {'pure_tasks_source_snapshot.jsonl.zst': {'bytes': Value('int64'), 'sha256': Value('string')}, 'rubrics_source_snapshot.jsonl.zst': {'bytes': Value('int64'), 'sha256': Value('string')}}, 'tar': Value('string'), 'verification_report': 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
              gid: int64
              mode: int64
              mtime_ns: int64
              path: string
              type: string
              uid: int64
              xattrs: struct<>
              sha256: string
              size: int64
              tar: string
              snapshots: struct<pure_tasks_source_snapshot.jsonl.zst: struct<bytes: int64, sha256: string>, rubrics_source_sn (... 55 chars omitted)
                child 0, pure_tasks_source_snapshot.jsonl.zst: struct<bytes: int64, sha256: string>
                    child 0, bytes: int64
                    child 1, sha256: string
                child 1, rubrics_source_snapshot.jsonl.zst: struct<bytes: int64, sha256: string>
                    child 0, bytes: int64
                    child 1, sha256: string
              verification_report: string
              metadata_normalization: struct<acls: string, file_flags: string, macos_xattrs: string>
                child 0, acls: string
                child 1, file_flags: string
                child 2, macos_xattrs: string
              selection_manifest: string
              created_at_utc: string
              archives: struct<pure_tasks: struct<bytes: int64, filename: string, restored_roots: list<item: string>, sha256 (... 383 chars omitted)
                child 0, pure_tasks: struct<bytes: int64, filename: string, restored_roots: list<item: string>, sha256: string, source_sn (... 126 chars omitted)
                    child 0, bytes: int64
                    child 1, filename: string
                    child 2, restored_roots: list<item: string>
                        child 0, item: string
                    child 3, sha256: string
                    child 4, source_snapshot: string
                    child 5, summary: struct<member_count: int64, regular_file_bytes: int64, types: struct<directory: int64, file: int64>>
                        child 0, member_count: int64
                        child 1, regular_file_bytes: int64
                        child 2, types: struct<directory: int64, file: int64>
                            child 0, directory: int64
                            child 1, file: int64
                child 1, rubrics: struct<bytes: int64, filename: string, restored_roots: list<item: string>, sha256: string, source_sn (... 126 chars omitted)
                    child 0, bytes: int64
                    child 1, filename: string
                    child 2, restored_roots: list<item: string>
                        child 0, item: string
                    child 3, sha256: string
                    child 4, source_snapshot: string
                    child 5, summary: struct<member_count: int64, regular_file_bytes: int64, types: struct<directory: int64, file: int64>>
                        child 0, member_count: int64
                        child 1, regular_file_bytes: int64
                        child 2, types: struct<directory: int64, file: int64>
                            child 0, directory: int64
                            child 1, file: int64
              compression: string
              batch: string
              to
              {'archives': {'pure_tasks': {'bytes': Value('int64'), 'filename': Value('string'), 'restored_roots': List(Value('string')), 'sha256': Value('string'), 'source_snapshot': Value('string'), 'summary': {'member_count': Value('int64'), 'regular_file_bytes': Value('int64'), 'types': {'directory': Value('int64'), 'file': Value('int64')}}}, 'rubrics': {'bytes': Value('int64'), 'filename': Value('string'), 'restored_roots': List(Value('string')), 'sha256': Value('string'), 'source_snapshot': Value('string'), 'summary': {'member_count': Value('int64'), 'regular_file_bytes': Value('int64'), 'types': {'directory': Value('int64'), 'file': Value('int64')}}}}, 'batch': Value('string'), 'compression': Value('string'), 'created_at_utc': Value('string'), 'metadata_normalization': {'acls': Value('string'), 'file_flags': Value('string'), 'macos_xattrs': Value('string')}, 'selection_manifest': Value('string'), 'snapshots': {'pure_tasks_source_snapshot.jsonl.zst': {'bytes': Value('int64'), 'sha256': Value('string')}, 'rubrics_source_snapshot.jsonl.zst': {'bytes': Value('int64'), 'sha256': Value('string')}}, 'tar': Value('string'), 'verification_report': Value('string')}
              because column names don't match

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jun_27_1000_g8_100

Lossless, restorable payload archives for the selected task data in the jun_27_1000_g8_100 batch.

Contents

  • jun_27_1000_g8_100__pure_harbor_tasks.tar.zst: 92 rollout-ready Harbor tasks and their complete raw skill inputs. Pipeline intermediates, rollout/judge outputs, .setup_synthesis, nested .git metadata, and macOS Finder/AppleDouble files are excluded.
  • jun_27_1000_g8_100__rubrics.tar.zst: 176 validated final rubric JSON files (88 completion and 88 process), stored separately from the pure task archive.
  • selection_manifest.json: exact selection rules, task IDs, exclusions, rubric coverage, and migrated-status advisory.
  • archive_manifest.json: archive roots, sizes, checksums, member summaries, compression, and metadata normalization.
  • verification_report.json: canonical dry-run, rubric validation, source-stability, extraction, path, content, and metadata checks.
  • pure_tasks_source_snapshot.jsonl.zst and rubrics_source_snapshot.jsonl.zst: compressed source snapshots used for provenance and restoration verification.
  • SHA256SUMS: SHA-256 checksums for all uploaded data and metadata artifacts.

The main archive restores these roots:

raw_skills/jun_27_1000_g8_100/
synthesized_data/jun_27_1000_g8_100/
pipeline_runs/jun_27_1000_g8_100/

The pipeline_runs batch directory in the main archive is intentionally empty. The separate rubric archive restores validated rubric files beneath it.

Local macOS com.apple.FinderInfo, com.apple.quarantine, and com.apple.provenance extended attributes are transport metadata, not task payload, and are intentionally normalized out. File contents, paths, symlink targets, modes, uid/gid, and nanosecond mtimes are verified for the selected payload.

Verify and restore

From this repository directory:

sha256sum -c SHA256SUMS
mkdir -p /path/to/restore
zstd -dc jun_27_1000_g8_100__pure_harbor_tasks.tar.zst | tar -xf - -C /path/to/restore
zstd -dc jun_27_1000_g8_100__rubrics.tar.zst | tar -xf - -C /path/to/restore

The archives were verified by full extraction, exact path-set comparison, file size and SHA-256 comparison, normalized metadata comparison, validation of every final rubric, and a canonical rollout dry-run precheck for all 92 selected tasks. See verification_report.json for the recorded checks.
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Total file size:
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