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
seed_v1: int64
generated_new: int64
total_valid: int64
dropped: int64
new_categories: struct<repair_patch_json: int64, generation_budget: int64>
child 0, repair_patch_json: int64
child 1, generation_budget: int64
drop_reasons: struct<>
anti_contamination: string
patch_contract: string
passed: bool
seed: int64
seed_examples: int64
category_counts: struct<seed: int64, symbol_lookup: int64, staged_refusal: int64, unknown_refusal: int64, dual_verifi (... 257 chars omitted)
child 0, seed: int64
child 1, symbol_lookup: int64
child 2, staged_refusal: int64
child 3, unknown_refusal: int64
child 4, dual_verification: int64
child 5, trace_protocol: int64
child 6, invariants: int64
child 7, invariant_refusal: int64
child 8, lifecycle: int64
child 9, doc_grounded: int64
child 10, routing_benchmarks: int64
child 11, repair_workflow: int64
child 12, registration: int64
child 13, module_mirror: int64
child 14, excluded_repo: int64
child 15, tiers_drive: int64
min_required: int64
generated_examples: int64
sources: list<item: string>
child 0, item: string
to
{'seed_examples': Value('int64'), 'generated_examples': Value('int64'), 'total_valid': Value('int64'), 'dropped': Value('int64'), 'category_counts': {'seed': Value('int64'), 'symbol_lookup': Value('int64'), 'staged_refusal': Value('int64'), 'unknown_refusal': Value('int64'), 'dual_verification': Value('int64'), 'trace_protocol': Value('int64'), 'invariants': Value('int64'), 'invariant_refusal': Value('int64'), 'lifecycle': Value('int64'), 'doc_grounded': Value('int64'), 'routing_benchmarks': Value('int64'), 'repair_workflow': Value('int64'), 'registration': Value('int64'), 'module_mirror': Value('int64'), 'excluded_repo': Value('int64'), 'tiers_drive': Value('int64')}, 'drop_reasons': {}, 'min_required': Value('int64'), 'passed': Value('bool'), 'seed': Value('int64'), 'sources': List(Value('string'))}
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
seed_v1: int64
generated_new: int64
total_valid: int64
dropped: int64
new_categories: struct<repair_patch_json: int64, generation_budget: int64>
child 0, repair_patch_json: int64
child 1, generation_budget: int64
drop_reasons: struct<>
anti_contamination: string
patch_contract: string
passed: bool
seed: int64
seed_examples: int64
category_counts: struct<seed: int64, symbol_lookup: int64, staged_refusal: int64, unknown_refusal: int64, dual_verifi (... 257 chars omitted)
child 0, seed: int64
child 1, symbol_lookup: int64
child 2, staged_refusal: int64
child 3, unknown_refusal: int64
child 4, dual_verification: int64
child 5, trace_protocol: int64
child 6, invariants: int64
child 7, invariant_refusal: int64
child 8, lifecycle: int64
child 9, doc_grounded: int64
child 10, routing_benchmarks: int64
child 11, repair_workflow: int64
child 12, registration: int64
child 13, module_mirror: int64
child 14, excluded_repo: int64
child 15, tiers_drive: int64
min_required: int64
generated_examples: int64
sources: list<item: string>
child 0, item: string
to
{'seed_examples': Value('int64'), 'generated_examples': Value('int64'), 'total_valid': Value('int64'), 'dropped': Value('int64'), 'category_counts': {'seed': Value('int64'), 'symbol_lookup': Value('int64'), 'staged_refusal': Value('int64'), 'unknown_refusal': Value('int64'), 'dual_verification': Value('int64'), 'trace_protocol': Value('int64'), 'invariants': Value('int64'), 'invariant_refusal': Value('int64'), 'lifecycle': Value('int64'), 'doc_grounded': Value('int64'), 'routing_benchmarks': Value('int64'), 'repair_workflow': Value('int64'), 'registration': Value('int64'), 'module_mirror': Value('int64'), 'excluded_repo': Value('int64'), 'tiers_drive': Value('int64')}, 'drop_reasons': {}, 'min_required': Value('int64'), 'passed': Value('bool'), 'seed': Value('int64'), 'sources': 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.
cortex-sft-300
Phase 1 output of the Ornith-9B-CORTEX build (see docs/CUSTOM-MODEL-BUILD-PLAN.md in
Johnny5b/portable-ai-runner).
304 validated chat-format examples ({"messages": [user, assistant]}), grown deterministically
(seed 20260920) from the 14 seed examples in data/cortex_sft.jsonl of portable-ai-runner plus the
repo's own source corpora: symbols/symbol_evolution_index.json, docs/CORTEX-SYSTEM-PROMPT.md,
docs/EVO-SKILLS-BRIDGE.md, docs/CORTEX-LOOP-PHASE.md, docs/CORTEX-POINTER-ARCHITECTURE.md,
docs/SYMBOL-TEMPLATE.md, docs/BENCHMARKS.md, docs/CORTEX-AWAKE-PHASE.md,
docs/CORTEX-REPAIR-PHASE.md.
Validation (every example, data/validation_report.json)
- exactly one user + one assistant message
- assistant answer starts with the verbatim trace header
[TRACE: §R:<target> | §T:<tool> | §S:<AWAKE|REPAIR|REST>] - RST scaffold present (
Claim:…Synthesis:) - length bounds, no placeholders, sha256 dedupe (0 dropped)
Category mix
| category | n |
|---|---|
| seed (original 14) | 14 |
| symbol_lookup | 100 |
| staged_refusal | 36 |
| doc_grounded (quotes the docs) | 30 |
| dual_verification (health/finance/nutrition/legal UNVERIFIED rule) | 20 |
| unknown_refusal | 15 |
| repair_workflow | 12 |
| module_mirror | 12 |
| lifecycle | 10 |
| trace_protocol | 9 |
| routing_benchmarks (measured numbers + job IDs) | 9 |
| registration | 8 |
| invariant_refusal | 8 |
| tiers_drive | 8 |
| invariants | 7 |
| excluded_repo | 6 |
Honesty ledger
- Scripted generation, no LLM in the loop — templates + parsed registry/docs, so every symbol, commit hash, and tok/s figure is quoted from the source files, not invented.
- Benchmark numbers embedded in
routing_benchmarksexamples are the measured values fromdocs/BENCHMARKS.mdwith their HF job IDs. - Additive: the 14 seed examples are included unmodified.
- Downloads last month
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