Dataset Viewer
Duplicate
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
handoff_id: string
n_sender: int64
n_receiver: int64
n_matched: int64
excluded: bool
reason: string
text_sha256: string
selected: list<item: list<item: int64>>
  child 0, item: list<item: int64>
      child 0, item: int64
tgt_theta: double
n_weight_params: int64
src_theta: double
n_kv: int64
d_h: int64
k: int64
lam: double
space: string
to
{'k': Value('int64'), 'selected': List(List(Value('int64'))), 'n_kv': Value('int64'), 'd_h': Value('int64'), 'src_theta': Value('float64'), 'tgt_theta': Value('float64'), 'lam': Value('float64'), 'space': Value('string'), 'n_weight_params': Value('int64')}
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
              handoff_id: string
              n_sender: int64
              n_receiver: int64
              n_matched: int64
              excluded: bool
              reason: string
              text_sha256: string
              selected: list<item: list<item: int64>>
                child 0, item: list<item: int64>
                    child 0, item: int64
              tgt_theta: double
              n_weight_params: int64
              src_theta: double
              n_kv: int64
              d_h: int64
              k: int64
              lam: double
              space: string
              to
              {'k': Value('int64'), 'selected': List(List(Value('int64'))), 'n_kv': Value('int64'), 'd_h': Value('int64'), 'src_theta': Value('float64'), 'tgt_theta': Value('float64'), 'lam': Value('float64'), 'space': Value('string'), 'n_weight_params': Value('int64')}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

linear-ceiling — E9 short cell, second model family

Verified home mirror of results/e9f/ for the registered experiment recorded as ledger entry 0044 (H-E9F = HELD; 28 scored of 28 registered), plus the upstream artifacts the summarizer reads, in upstream's own layout.

Protocol R8: backup is transport, not evidence. The summarizer reads the local mirror only; nothing here is a ledger figure.

What is in it

path what
results/e9f/ the run's records: report.json, align/, controls/, scores/, tokens/, checkpoints/, calibration/, recheck/, logs/, summary.{md,json}
results/e9f/scratch/ the 8 retained stride-1 dumps (the registered keep subset), 53.8 GB
mappers/llama3.2-3b-to-llama3.1-8b/k1.* the k = 1 mapper the cross arm reads, by sha
results/mapper/llama3.2-3b-to-llama3.1-8b/r2.json its fit record

The run

  • Pair llama3.2-3b-to-llama3.1-8b: source meta-llama/Llama-3.2-3B, receiver meta-llama/Llama-3.1-8B. Neither side scaled — no rope scaling on any dump; the receiver is natively long.
  • RunPod SECURE A100-SXM4-80GB, driver 2026-09-19T17:14:41Z to 18:18:30Z.
  • Upstream pin 06f8d55592570deae70c3feb9f84a75c4044fb03; linear-ceiling c90e9c2747ea07ccee1b045e529c47cf60284d82.
  • Coverage: 28 included of 68 observed (36 above the 32,768-token cap, 4 with an empty receiver prompt).
item value
files (excluding this card) 1,052
bytes (excluding this card) 55,369,570,972
report.json sha256 f9335c0587adc8b06d482dde4611e0f5c939c604011291100ae6775c109197e4
pull receipt 1,064 hash checks, 55,817,920,705 B, 2026-09-19T18:59:42Z

Reconstructing the mirror

hf download emmmy/linear-ceiling-e9f-2026-09-19 --repo-type dataset --local-dir <checkout>

The layout needs no translation: results/e9f/ lands where the summarizer expects it, and the mappers/ and results/mapper/ trees belong beside the pinned upstream checkout.

Code and the full record: https://github.com/hossainpazooki/linear-ceiling (branch llama-second-family).

Downloads last month
212