recap
Collection
Mars平台的recap开发 • 3 items • Updated
Dataset Viewer
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
suite: string
task: string
base_bddl: string
base_bddl_sha256: string
prompt: string
horizon: int64
pair: list<item: string>
child 0, item: string
origin: string
release_bddl: string
release_sha256: string
case_id: string
category: string
bddl: string
bddl_sha256: string
bddl_language: string
prompt_source: string
group: int64
seed: int64
reset_seed: int64
init_path: string
init_sha256: string
physical_hash: string
object_positions: struct<chefmate_8_frypan_1: list<item: double>, moka_pot_1: list<item: double>>
child 0, chefmate_8_frypan_1: list<item: double>
child 0, item: double
child 1, moka_pot_1: list<item: double>
child 0, item: double
split: string
group_id: string
episode_id: string
policy_seed: int64
trajectory_id: string
behavior_policy_seed: int64
replicate: int64
status: string
success: bool
steps: int64
artifact: string
artifact_sha256: string
seconds: double
official_generator_noop_fixed: bool
from_arena: string
to_arena: string
to
{'suite': Value('string'), 'task': Value('string'), 'base_bddl': Value('string'), 'base_bddl_sha256': Value('string'), 'prompt': Value('string'), 'horizon': Value('int64'), 'from_arena': Value('string'), 'to_arena': Value('string'), 'origin': Value('string'), 'official_generator_noop_fixed': Value('bool'), 'case_id': Value('string'), 'category': Value('string'), 'bddl': Value('string'), 'bddl_sha256': Value('string'), 'bddl_language': Value('string'), 'prompt_source': Value('string'), 'group': Value('int64'), 'seed': Value('int64'), 'reset_seed': Value('int64'), 'init_path': Value('string'), 'init_sha256': Value('string'), 'physical_hash': Value('string'), 'object_positions': {'chefmate_8_frypan_1': List(Value('float64')), 'moka_pot_1': List(Value('float64'))}, 'split': Value('string'), 'group_id': Value('string'), 'episode_id': Value('string'), 'policy_seed': Value('int64'), 'trajectory_id': Value('string'), 'behavior_policy_seed': Value('int64'), 'replicate': Value('int64'), 'status': Value('string'), 'success': Value('bool'), 'steps': Value('int64'), 'artifact': Value('string'), 'artifact_sha256': Value('string'), 'seconds': Value('float64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
suite: string
task: string
base_bddl: string
base_bddl_sha256: string
prompt: string
horizon: int64
pair: list<item: string>
child 0, item: string
origin: string
release_bddl: string
release_sha256: string
case_id: string
category: string
bddl: string
bddl_sha256: string
bddl_language: string
prompt_source: string
group: int64
seed: int64
reset_seed: int64
init_path: string
init_sha256: string
physical_hash: string
object_positions: struct<chefmate_8_frypan_1: list<item: double>, moka_pot_1: list<item: double>>
child 0, chefmate_8_frypan_1: list<item: double>
child 0, item: double
child 1, moka_pot_1: list<item: double>
child 0, item: double
split: string
group_id: string
episode_id: string
policy_seed: int64
trajectory_id: string
behavior_policy_seed: int64
replicate: int64
status: string
success: bool
steps: int64
artifact: string
artifact_sha256: string
seconds: double
official_generator_noop_fixed: bool
from_arena: string
to_arena: string
to
{'suite': Value('string'), 'task': Value('string'), 'base_bddl': Value('string'), 'base_bddl_sha256': Value('string'), 'prompt': Value('string'), 'horizon': Value('int64'), 'from_arena': Value('string'), 'to_arena': Value('string'), 'origin': Value('string'), 'official_generator_noop_fixed': Value('bool'), 'case_id': Value('string'), 'category': Value('string'), 'bddl': Value('string'), 'bddl_sha256': Value('string'), 'bddl_language': Value('string'), 'prompt_source': Value('string'), 'group': Value('int64'), 'seed': Value('int64'), 'reset_seed': Value('int64'), 'init_path': Value('string'), 'init_sha256': Value('string'), 'physical_hash': Value('string'), 'object_positions': {'chefmate_8_frypan_1': List(Value('float64')), 'moka_pot_1': List(Value('float64'))}, 'split': Value('string'), 'group_id': Value('string'), 'episode_id': Value('string'), 'policy_seed': Value('int64'), 'trajectory_id': Value('string'), 'behavior_policy_seed': Value('int64'), 'replicate': Value('int64'), 'status': Value('string'), 'success': Value('bool'), 'steps': Value('int64'), 'artifact': Value('string'), 'artifact_sha256': Value('string'), 'seconds': Value('float64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
RECAP data
Public backup hf_backup_20261102, captured 2026-11-02T11:42:26.136798+08:00.
Collection: https://huggingface.co/collections/myx160/recap-6ae7fe8e46603b646d677fbd
Snapshot status: BACKUP_COMPLETE.json is published only after every
planned file has been committed and its remote size/hash verified.
The local long-running training continues independently. This snapshot includes
only files available at capture time, not future training updates.
Restore by combining the original project-relative paths from all three repos:
myx160/recap-data, myx160/recap-checkpoints, myx160/recap-reproducibility.
Restore symbolic links from SNAPSHOT.json. Restore .gitignore from
_restore/original_gitignore.txt. Credentials, caches, tmp, unfinished downloads,
lock/PID files and binary Conda environment archives are excluded. Environment
locks and experiment environment records are included. Frozen old paths are
resolved by the included RECAP relocation helper. Some text credential patterns
and signed URL queries may be redacted; see snapshot records.
Both successes and failures, pilot and historical exploratory results are kept. Training completion, loss changes, or an upstream score do not establish policy improvement. Test manifests remain sealed for evaluation use.
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