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
condition: string
context_manifest_sha256: string
manifest_sha256: string
model: struct<repo: string, revision: string>
child 0, repo: string
child 1, revision: string
schema_version: int64
shared_query_ids_sha256: string
smoke: bool
training: struct<effective_batch_size: int64, fresh_rollout_exposures: int64, gradient_checkpointing: bool, gr (... 328 chars omitted)
child 0, effective_batch_size: int64
child 1, fresh_rollout_exposures: int64
child 2, gradient_checkpointing: bool
child 3, gradient_checkpointing_use_reentrant: bool
child 4, gradient_clip: double
child 5, learning_rate: double
child 6, lora_alpha: int64
child 7, lora_dropout: double
child 8, lora_rank: int64
child 9, microbatch_size: int64
child 10, objective: string
child 11, optimizer: string
child 12, optimizer_steps: int64
child 13, precision: string
child 14, scheduler: string
child 15, target_modules: list<item: string>
child 0, item: string
child 16, weight_decay: double
resolved_config_sha256: string
teacher_frozen_verified: bool
fresh_rollout_exposures: int64
last_loss: double
steps: int64
capped_rollouts: int64
finite_loss_verified: bool
final_adapter: string
to
{'capped_rollouts': Value('int64'), 'condition': Value('string'), 'final_adapter': Value('string'), 'finite_loss_verified': Value('bool'), 'fresh_rollout_exposures': Value('int64'), 'last_loss': Value('float64'), 'manifest_sha256': Value('string'), 'resolved_config_sha256': Value('string'), 'schema_version': Value('int64'), 'smoke': Value('bool'), 'steps': Value('int64'), 'teacher_frozen_verified': Value('bool')}
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
condition: string
context_manifest_sha256: string
manifest_sha256: string
model: struct<repo: string, revision: string>
child 0, repo: string
child 1, revision: string
schema_version: int64
shared_query_ids_sha256: string
smoke: bool
training: struct<effective_batch_size: int64, fresh_rollout_exposures: int64, gradient_checkpointing: bool, gr (... 328 chars omitted)
child 0, effective_batch_size: int64
child 1, fresh_rollout_exposures: int64
child 2, gradient_checkpointing: bool
child 3, gradient_checkpointing_use_reentrant: bool
child 4, gradient_clip: double
child 5, learning_rate: double
child 6, lora_alpha: int64
child 7, lora_dropout: double
child 8, lora_rank: int64
child 9, microbatch_size: int64
child 10, objective: string
child 11, optimizer: string
child 12, optimizer_steps: int64
child 13, precision: string
child 14, scheduler: string
child 15, target_modules: list<item: string>
child 0, item: string
child 16, weight_decay: double
resolved_config_sha256: string
teacher_frozen_verified: bool
fresh_rollout_exposures: int64
last_loss: double
steps: int64
capped_rollouts: int64
finite_loss_verified: bool
final_adapter: string
to
{'capped_rollouts': Value('int64'), 'condition': Value('string'), 'final_adapter': Value('string'), 'finite_loss_verified': Value('bool'), 'fresh_rollout_exposures': Value('int64'), 'last_loss': Value('float64'), 'manifest_sha256': Value('string'), 'resolved_config_sha256': Value('string'), 'schema_version': Value('int64'), 'smoke': Value('bool'), 'steps': Value('int64'), 'teacher_frozen_verified': Value('bool')}
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.
OPD Method Comparison — all 27 training-complete adapters
This public dataset contains all 27 training-complete LoRA adapters from the OPD method-comparison experiment.
Status: training is complete for all 27 conditions; final evaluation is still in progress. These artifacts should not yet be interpreted as final benchmark results.
Base model: 'Qwen/Qwen2.5-7B-Instruct' at revision 'a09a35458c702b33eeacc393d103063234e8bc28'.
Each 'adapters//' directory contains the PEFT adapter, tokenizer files, the resolved training configuration, and a signed training-completion record. Every adapter completed 861 optimizer steps. Optimizer state is excluded.
To load an adapter, download its directory with 'huggingface_hub.snapshot_download(..., repo_type="dataset")', then pass the local adapter directory to 'peft.PeftModel.from_pretrained'.
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