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Datasets:
RuiSun
/
metacontext-soar-v6-seed

Languages:
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Tags:
arc-agi
program-synthesis
supervised-fine-tuning
metacontext
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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
completion: string
messages: list<item: struct<content: string, role: string>>
  child 0, item: struct<content: string, role: string>
      child 0, content: string
      child 1, role: string
source_dataset: string
action_type: string
task_id: string
seed_line: int64
tokens: int64
to
{'action_type': Value('string'), 'seed_line': Value('int64'), 'source_dataset': Value('string'), 'task_id': Value('string'), 'tokens': 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
              completion: string
              messages: list<item: struct<content: string, role: string>>
                child 0, item: struct<content: string, role: string>
                    child 0, content: string
                    child 1, role: string
              source_dataset: string
              action_type: string
              task_id: string
              seed_line: int64
              tokens: int64
              to
              {'action_type': Value('string'), 'seed_line': Value('int64'), 'source_dataset': Value('string'), 'task_id': Value('string'), 'tokens': Value('int64')}
              because column names don't match

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MetaContext SOAR v6 seed

Private training dataset for the MetaContext SOAR v6 continuation experiment.

Contents

  • policy_train_65k.jsonl: 15,169 Tinker ChatSFTExample records that fit the 65,536-token Nemotron context window.
  • policy_train_65k.provenance.jsonl: row-aligned source and lineage metadata.
  • policy_train_65k.exclusions.jsonl: 71 records excluded from the 65K subset.
  • manifest.json: artifact counts, SHA-256 hashes, construction sources, and integrity gates.

The training corpus combines 5,893 full-policy session examples, 534 edit-only examples, and 8,813 validated Hodel/CodeIt program examples before the 65K filter. The data and provenance files must retain identical line order.

Training path

Clone or download this repository into experiments/arc_sft/data/soar_v6_seed inside MetaContext. The canonical training artifact is policy_train_65k.jsonl.

Integrity

The SHA-256 digest of policy_train_65k.jsonl is:

13c5bdc55d975f182363ae40e70e8d2d6ae53363e047c92c5ea2f96809055a17

Use manifest.json as the source of truth for artifact identity and lineage. The Hodel source is MIT-licensed. CodeIt-derived mutations retain their upstream BSD-3-Clause-Clear provenance.
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