Continual Learning with Soft Prompt
Collection
Private reproducibility artifacts for distilling a mathematical reasoning RL checkpoint into a 16-token soft prompt. • 6 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
status: string
shard: int64
requests: int64
profile_sha256: string
plan_sha256: string
source_handoff_sha256: string
target_gpu_admission_sha256: string
generation_allocation: struct<job_id: string, cgroup: string, cpus: string, memory_mb: string>
child 0, job_id: string
child 1, cgroup: string
child 2, cpus: string
child 3, memory_mb: string
export_allocation: struct<job_id: string, cgroup: string, cpus: string, memory_mb: string>
child 0, job_id: string
child 1, cgroup: string
child 2, cpus: string
child 3, memory_mb: string
files: list<item: struct<path: string, size: int64, sha256: string>>
child 0, item: struct<path: string, size: int64, sha256: string>
child 0, path: string
child 1, size: int64
child 2, sha256: string
sqlite_consistent_backup: bool
raw_and_length_limited_outputs_preserved: bool
source_import_accepted: bool
public_upload: bool
shards: list<item: struct<shard: int64, requests: int64, archive: string, manifest: string, complete: string (... 2 chars omitted)
child 0, item: struct<shard: int64, requests: int64, archive: string, manifest: string, complete: string>
child 0, shard: int64
child 1, requests: int64
child 2, archive: string
child 3, manifest: string
child 4, complete: string
approved_original_archive_inventory_sha256: string
expected_responses: int64
schema: string
to
{'schema': Value('string'), 'expected_responses': Value('int64'), 'shards': List({'shard': Value('int64'), 'requests': Value('int64'), 'archive': Value('string'), 'manifest': Value('string'), 'complete': Value('string')}), 'files': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}), 'approved_original_archive_inventory_sha256': Value('string')}
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
status: string
shard: int64
requests: int64
profile_sha256: string
plan_sha256: string
source_handoff_sha256: string
target_gpu_admission_sha256: string
generation_allocation: struct<job_id: string, cgroup: string, cpus: string, memory_mb: string>
child 0, job_id: string
child 1, cgroup: string
child 2, cpus: string
child 3, memory_mb: string
export_allocation: struct<job_id: string, cgroup: string, cpus: string, memory_mb: string>
child 0, job_id: string
child 1, cgroup: string
child 2, cpus: string
child 3, memory_mb: string
files: list<item: struct<path: string, size: int64, sha256: string>>
child 0, item: struct<path: string, size: int64, sha256: string>
child 0, path: string
child 1, size: int64
child 2, sha256: string
sqlite_consistent_backup: bool
raw_and_length_limited_outputs_preserved: bool
source_import_accepted: bool
public_upload: bool
shards: list<item: struct<shard: int64, requests: int64, archive: string, manifest: string, complete: string (... 2 chars omitted)
child 0, item: struct<shard: int64, requests: int64, archive: string, manifest: string, complete: string>
child 0, shard: int64
child 1, requests: int64
child 2, archive: string
child 3, manifest: string
child 4, complete: string
approved_original_archive_inventory_sha256: string
expected_responses: int64
schema: string
to
{'schema': Value('string'), 'expected_responses': Value('int64'), 'shards': List({'shard': Value('int64'), 'requests': Value('int64'), 'archive': Value('string'), 'manifest': Value('string'), 'complete': Value('string')}), 'files': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}), 'approved_original_archive_inventory_sha256': Value('string')}
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.
Temporary Code transfer
Authorized temporary public transport of eight sealed Code generation archives: 32,768 responses. Teacher: Jackwang111/M2RL-RL_Coding at 22df4d65195cd0b2b47f1e46c0602452272a00d4. Original manifests and COMPLETE receipts retain their historical private-export labels; original bytes are unchanged. Payload includes prompts, raw generated text/tokens, plans, closed SQLite ledgers and target lineage metadata. SHA256.json lists exact payload hashes. Pin a complete verified commit before downloading. H100 must independently validate all requests/tokens/ledgers/plans and candidate masks before import or training. The temporary repository may be deleted only after durable independent H100 acceptance. No Agent package, model weights or credentials are intended for this transfer.
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