The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
checks_run: list<item: string>
child 0, item: string
error_count: int64
errors: list<item: null>
child 0, item: null
format_version: int64
receipt_sha256: string
schema: string
structural_status: string
subject: string
warning_count: int64
warnings: list<item: null>
child 0, item: null
from_dataset_sha256: string
members_added: list<item: string>
child 0, item: string
from_created_utc: timestamp[s]
resealed_utc: timestamp[s]
from_checksums_sha256: string
reason: string
tool: struct<file: string, sha256: string>
child 0, file: string
child 1, sha256: string
capture_manifest_file_sha256: string
dataset_id: string
members_rewritten: list<item: struct<field: string, original_sha256: string, original_value_sha256: string, path: strin (... 52 chars omitted)
child 0, item: struct<field: string, original_sha256: string, original_value_sha256: string, path: string, resealed (... 40 chars omitted)
child 0, field: string
child 1, original_sha256: string
child 2, original_value_sha256: string
child 3, path: string
child 4, resealed_sha256: string
child 5, resealed_value: string
capture_content_digest: string
to
{'capture_content_digest': Value('string'), 'capture_manifest_file_sha256': Value('string'), 'dataset_id': Value('string'), 'from_checksums_sha256': Value('string'), 'from_created_utc': Value('timestamp[s]'), 'from_dataset_sha256': Value('string'), 'members_added': List(Value('string')), 'members_rewritten': List({'field': Value('string'), 'original_sha256': Value('string'), 'original_value_sha256': Value('string'), 'path': Value('string'), 'resealed_sha256': Value('string'), 'resealed_value': Value('string')}), 'reason': Value('string'), 'receipt_sha256': Value('string'), 'resealed_utc': Value('timestamp[s]'), 'schema': Value('string'), 'tool': {'file': Value('string'), 'sha256': 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
checks_run: list<item: string>
child 0, item: string
error_count: int64
errors: list<item: null>
child 0, item: null
format_version: int64
receipt_sha256: string
schema: string
structural_status: string
subject: string
warning_count: int64
warnings: list<item: null>
child 0, item: null
from_dataset_sha256: string
members_added: list<item: string>
child 0, item: string
from_created_utc: timestamp[s]
resealed_utc: timestamp[s]
from_checksums_sha256: string
reason: string
tool: struct<file: string, sha256: string>
child 0, file: string
child 1, sha256: string
capture_manifest_file_sha256: string
dataset_id: string
members_rewritten: list<item: struct<field: string, original_sha256: string, original_value_sha256: string, path: strin (... 52 chars omitted)
child 0, item: struct<field: string, original_sha256: string, original_value_sha256: string, path: string, resealed (... 40 chars omitted)
child 0, field: string
child 1, original_sha256: string
child 2, original_value_sha256: string
child 3, path: string
child 4, resealed_sha256: string
child 5, resealed_value: string
capture_content_digest: string
to
{'capture_content_digest': Value('string'), 'capture_manifest_file_sha256': Value('string'), 'dataset_id': Value('string'), 'from_checksums_sha256': Value('string'), 'from_created_utc': Value('timestamp[s]'), 'from_dataset_sha256': Value('string'), 'members_added': List(Value('string')), 'members_rewritten': List({'field': Value('string'), 'original_sha256': Value('string'), 'original_value_sha256': Value('string'), 'path': Value('string'), 'resealed_sha256': Value('string'), 'resealed_value': Value('string')}), 'reason': Value('string'), 'receipt_sha256': Value('string'), 'resealed_utc': Value('timestamp[s]'), 'schema': Value('string'), 'tool': {'file': Value('string'), 'sha256': 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.
fidelity--glm53.malaiwah.root.bf16
A root fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from zai-org/GLM-5.3-BF16.
The cut
the final hidden state handed to lm_head -- after the text model's final norm and immediately before the head matmul -- captured as the head module's input via torch.nn.Module.register_forward_pre_hook; replay applies the head ONLY (no final norm at replay time: the capture already sits after it). Same cut as engines/tools/hidden_replay.py and as Festr's kimi-k3 hidden-replay qualification.
What is here
| records | 25 |
| scored positions | 51175 |
| context length | 2048 |
| hidden width | 6144 |
| vocab size | 154880 |
| capture bytes (hidden form) | 628845100 |
| the same capture in logit form would be | 31703936000 bytes (50x) |
| scope policy | native |
| lane | streaming |
Does the model still generate sensibly
The capital of France is -> Paris (p=0.2448, entropy 3.747 of a possible 11.950 nats). Enforced against 'Paris'. One extra window through the same schedule; its hidden state was discarded and is not part of this dataset.
License
This dataset redistributes the captured model's native output-head weights. The source license and required notice are reproduced byte-for-byte in LICENSE.
How to check it
bin/fidelity-dataset verify <this directory>
Full specification: https://github.com/malaiwah/quant-fidelity-suite/blob/main/docs/FIDELITY-DATASET-SPEC.md
Re-sealed
This tree was re-sealed from dataset_sha256 01b09bac3f1a5169ff0175a899f9c3846dc511f2ee7e18633b22fe8241fd621c on 2026-09-04T10:05:18Z: the validator's sealed verdict (validation/structural-validation.json) named the capture's output directory, a private absolute path the publisher refuses. Only that one field changed. Every tensor, the capture, runtime, panel and head members are byte-identical to the original; capture_content_digest 9eba97dddb4ff2e2a1d1fad8fdac1a57ec22963f1f85345451fcadcfc42682b8 is unchanged. The receipt is validation/reseal-receipt.json (cdad6b03a08fb5a98728c0ecd0454838d84092f6fa4e2a43a8d11419d98da27a).
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