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CodeMasterCody3D
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taardis-k5c-think-rows

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Split (1)

train

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
id: string
lane: string
question: string
prompt: string
gold: double
ref: string
kind: string
stop: string
n_new: int64
prompt_len: int64
parks: int64
ids: list<item: int64>
  child 0, item: int64
model: string
hold_seed: int64
ref_only: int64
holdout_rows: int64
bank: struct<aime: int64, arc: int64, gsm8k: int64, healarith: int64, healfin: int64, healhvac: int64, hea (... 139 chars omitted)
  child 0, aime: int64
  child 1, arc: int64
  child 2, gsm8k: int64
  child 3, healarith: int64
  child 4, healfin: int64
  child 5, healhvac: int64
  child 6, healphys: int64
  child 7, healunits: int64
  child 8, humaneval: int64
  child 9, hvactalk: int64
  child 10, ifeval: int64
  child 11, math500: int64
  child 12, mbpp: int64
  child 13, mmlu: int64
  child 14, mmlupro: int64
failures: struct<gpqa: string>
  child 0, gpqa: string
bank_sha256: string
lanes_arg: string
gold_numeric: int64
pool: struct<aime: int64, arc: int64, gsm8k: int64, healarith: int64, healfin: int64, healhvac: int64, hea (... 139 chars omitted)
  child 0, aime: int64
  child 1, arc: int64
  child 2, gsm8k: int64
  child 3, healarith: int64
  child 4, healfin: int64
  child 5, healhvac: int64
  child 6, healphys: int64
  child 7, healunits: int64
  child 8, humaneval: int64
  child 9, hvactalk: int64
  child 10, ifeval: int64
  child 11, math500: int64
  child 12, mbpp: int64
  child 13, mmlu: int64
  child 14, mmlupro: int64
seed: int64
bank_rows: int64
to
{'seed': Value('int64'), 'hold_seed': Value('int64'), 'pool': {'aime': Value('int64'), 'arc': Value('int64'), 'gsm8k': Value('int64'), 'healarith': Value('int64'), 'healfin': Value('int64'), 'healhvac': Value('int64'), 'healphys': Value('int64'), 'healunits': Value('int64'), 'humaneval': Value('int64'), 'hvactalk': Value('int64'), 'ifeval': Value('int64'), 'math500': Value('int64'), 'mbpp': Value('int64'), 'mmlu': Value('int64'), 'mmlupro': Value('int64')}, 'bank': {'aime': Value('int64'), 'arc': Value('int64'), 'gsm8k': Value('int64'), 'healarith': Value('int64'), 'healfin': Value('int64'), 'healhvac': Value('int64'), 'healphys': Value('int64'), 'healunits': Value('int64'), 'humaneval': Value('int64'), 'hvactalk': Value('int64'), 'ifeval': Value('int64'), 'math500': Value('int64'), 'mbpp': Value('int64'), 'mmlu': Value('int64'), 'mmlupro': Value('int64')}, 'bank_rows': Value('int64'), 'bank_sha256': Value('string'), 'holdout_rows': Value('int64'), 'gold_numeric': Value('int64'), 'ref_only': Value('int64'), 'failures': {'gpqa': Value('string')}, 'lanes_arg': 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
              id: string
              lane: string
              question: string
              prompt: string
              gold: double
              ref: string
              kind: string
              stop: string
              n_new: int64
              prompt_len: int64
              parks: int64
              ids: list<item: int64>
                child 0, item: int64
              model: string
              hold_seed: int64
              ref_only: int64
              holdout_rows: int64
              bank: struct<aime: int64, arc: int64, gsm8k: int64, healarith: int64, healfin: int64, healhvac: int64, hea (... 139 chars omitted)
                child 0, aime: int64
                child 1, arc: int64
                child 2, gsm8k: int64
                child 3, healarith: int64
                child 4, healfin: int64
                child 5, healhvac: int64
                child 6, healphys: int64
                child 7, healunits: int64
                child 8, humaneval: int64
                child 9, hvactalk: int64
                child 10, ifeval: int64
                child 11, math500: int64
                child 12, mbpp: int64
                child 13, mmlu: int64
                child 14, mmlupro: int64
              failures: struct<gpqa: string>
                child 0, gpqa: string
              bank_sha256: string
              lanes_arg: string
              gold_numeric: int64
              pool: struct<aime: int64, arc: int64, gsm8k: int64, healarith: int64, healfin: int64, healhvac: int64, hea (... 139 chars omitted)
                child 0, aime: int64
                child 1, arc: int64
                child 2, gsm8k: int64
                child 3, healarith: int64
                child 4, healfin: int64
                child 5, healhvac: int64
                child 6, healphys: int64
                child 7, healunits: int64
                child 8, humaneval: int64
                child 9, hvactalk: int64
                child 10, ifeval: int64
                child 11, math500: int64
                child 12, mbpp: int64
                child 13, mmlu: int64
                child 14, mmlupro: int64
              seed: int64
              bank_rows: int64
              to
              {'seed': Value('int64'), 'hold_seed': Value('int64'), 'pool': {'aime': Value('int64'), 'arc': Value('int64'), 'gsm8k': Value('int64'), 'healarith': Value('int64'), 'healfin': Value('int64'), 'healhvac': Value('int64'), 'healphys': Value('int64'), 'healunits': Value('int64'), 'humaneval': Value('int64'), 'hvactalk': Value('int64'), 'ifeval': Value('int64'), 'math500': Value('int64'), 'mbpp': Value('int64'), 'mmlu': Value('int64'), 'mmlupro': Value('int64')}, 'bank': {'aime': Value('int64'), 'arc': Value('int64'), 'gsm8k': Value('int64'), 'healarith': Value('int64'), 'healfin': Value('int64'), 'healhvac': Value('int64'), 'healphys': Value('int64'), 'healunits': Value('int64'), 'humaneval': Value('int64'), 'hvactalk': Value('int64'), 'ifeval': Value('int64'), 'math500': Value('int64'), 'mbpp': Value('int64'), 'mmlu': Value('int64'), 'mmlupro': Value('int64')}, 'bank_rows': Value('int64'), 'bank_sha256': Value('string'), 'holdout_rows': Value('int64'), 'gold_numeric': Value('int64'), 'ref_only': Value('int64'), 'failures': {'gpqa': Value('string')}, 'lanes_arg': Value('string')}
              because column names don't match

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k5c think-and-end rows (TAARDIS, cali_max recon)

Rows written by the k5c teacher (Qwen3.8-27B k5c) with teacher_max.py: each row is the prompt plus k5c's generated ids, a think block, the answer and the end token. Uploaded 2026-11-11 21:12 UTC.

file	lines
damage/gen_w0/rows.jsonl	414
damage/gen_w1/rows.jsonl	331
damage/bank_manifest.json	1

damage/ -- heal damage questions (arithmetic, units, HVAC, physics, finance; ours) plus earlier rows on public benchmark questions (MMLU, MMLU-Pro, GSM8K, MATH-500, AIME, ARC, HumanEval, MBPP, IFEval -- each under its own license; note they contain answers to those benchmarks, so do not evaluate on those benchmarks with a model trained on these rows).
removed/ -- rows dropped from training: answers that truly loop, and complete-but-wrong answers.
wiki/ -- Wikipedia math / code / CS / quantization / units / HVAC articles and k5c's teaching answers. The article text is from Wikipedia under CC BY-SA 4.0; each row's ref / url is its attribution. Derived rows carry the same license.

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