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
name: string
version: string
format: string
rows: int64
fields: struct<id: string, version: string, split: string, module: string, priority: string, task_type: stri (... 155 chars omitted)
child 0, id: string
child 1, version: string
child 2, split: string
child 3, module: string
child 4, priority: string
child 5, task_type: string
child 6, memory_key: string
child 7, input: string
child 8, target: string
child 9, required_checks: string
child 10, forbidden_claims: string
child 11, weight_hint: string
child 12, tags: string
child 13, notes: string
target_bpb_status: string
files: list<item: string>
child 0, item: string
language_docs: list<item: string>
child 0, item: string
dataset_rows: int64
package: string
language_primary: string
created_for: string
to
{'package': Value('string'), 'version': Value('string'), 'created_for': Value('string'), 'language_primary': Value('string'), 'language_docs': List(Value('string')), 'target_bpb_status': Value('string'), 'dataset_rows': Value('int64'), 'files': List(Value('string'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
name: string
version: string
format: string
rows: int64
fields: struct<id: string, version: string, split: string, module: string, priority: string, task_type: stri (... 155 chars omitted)
child 0, id: string
child 1, version: string
child 2, split: string
child 3, module: string
child 4, priority: string
child 5, task_type: string
child 6, memory_key: string
child 7, input: string
child 8, target: string
child 9, required_checks: string
child 10, forbidden_claims: string
child 11, weight_hint: string
child 12, tags: string
child 13, notes: string
target_bpb_status: string
files: list<item: string>
child 0, item: string
language_docs: list<item: string>
child 0, item: string
dataset_rows: int64
package: string
language_primary: string
created_for: string
to
{'package': Value('string'), 'version': Value('string'), 'created_for': Value('string'), 'language_primary': Value('string'), 'language_docs': List(Value('string')), 'target_bpb_status': Value('string'), 'dataset_rows': Value('int64'), 'files': List(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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Parameter Golf V11 — Parallel Residuals Electronics Bridge
This ZIP contains an English training dataset and bilingual explanatory notes for Parameter Golf preparation. It focuses on parallel residuals, serial vs parallel topology, electronics analogies, legal BPB claims, score-first TTT, ablation discipline, RunPod execution, and PR audit behavior.
Important status
This package is educational and preparatory. It does not claim a 0.81 BPB result. It treats 0.81 BPB as an aspirational research target that must be proven with legal logs, multiple seeds, correct val_bpb, artifact size under 16 MB, and training under the official time budget.
Files
dataset/v11_parameter_golf_parallel_residuals_en.jsonl— main English training dataset.dataset/v11_parameter_golf_parallel_residuals_en.csv— CSV mirror.dataset/dataset_card.md— dataset description and intended use.dataset/schema.json— field schema.docs_pl/OPIS_ROZSZERZONY_PL.md— extended Polish explanation.docs_en/EXTENDED_EXPLANATION_EN.md— extended English explanation.docs_en/RUNPOD_TRAINING_NOTES_EN.md— RunPod workflow notes.docs_pl/RUNPOD_NOTATKI_PL.md— Polish RunPod notes.templates/ablation_log_template.csv— experiment log template.templates/pr_readme_skeleton.md— PR README skeleton.scripts/record_gate_helper.py— helper for BPB/nats/statistics reasoning.source_notes/sources.md— source URLs checked while building this pack.
Intended training behavior
The dataset teaches an assistant/model to:
- explain parallel residuals without jargon,
- use electronics analogies carefully,
- avoid false record claims,
- preserve numbers, units, file names, and dates,
- check legal score-first TTT order,
- separate metric validity from PR structure and official SOTA status,
- recommend disciplined ablations instead of random changes.
Recommended V12 direction
Use V11 to train reasoning and communication. Use V12 for measured experiments: replicate the current strong stack, then ablate one idea at a time under real RunPod logs.
- Downloads last month
- 7