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
model_id: string
n_eval_tokens: int64
arms: struct<g_32: struct<group_size: int64, rank: int64, avg_bpw: double, kl_nats_per_token: double, top1 (... 930 chars omitted)
child 0, g_32: struct<group_size: int64, rank: int64, avg_bpw: double, kl_nats_per_token: double, top1_agreement_pc (... 404 chars omitted)
child 0, group_size: int64
child 1, rank: int64
child 2, avg_bpw: double
child 3, kl_nats_per_token: double
child 4, top1_agreement_pct: double
child 5, student_perplexity: double
child 6, teacher_perplexity: double
child 7, coherence_samples: struct<Explain how quaternion algebra parameterizes 4D rotations:: string, Write a Python function t (... 217 chars omitted)
child 0, Explain how quaternion algebra parameterizes 4D rotations:: string
child 1, Write a Python function to compute the Fibonacci sequence efficiently:: string
child 2, The fundamental reason sub-2-bit quantization suffers from outlier collapse is: string
child 3, In quantum mechanics, the relationship between SU(2) and SO(3) is: string
child 1, g_64: struct<group_size: int64, rank: int64, avg_bpw: double, kl_nats_per_token: double, top1_agreement_pc (... 404 chars omitted)
child 0, group_size: int64
child 1, rank: int64
child 2, avg_bpw: double
child 3, kl_nats_per_token: double
child 4, top1_agreement_pct: double
child 5, student_perplexity: double
child 6, teacher_perplexi
...
otations:: string
child 1, Write a Python function to compute the Fibonacci sequence efficiently:: string
child 2, The fundamental reason sub-2-bit quantization suffers from outlier collapse is: string
child 3, In quantum mechanics, the relationship between SU(2) and SO(3) is: string
timestamp_utc: string
generations: struct<arm_g_32: struct<Explain how quaternion algebra parameterizes 4D rotations:: string, Write a (... 564 chars omitted)
child 0, arm_g_32: struct<Explain how quaternion algebra parameterizes 4D rotations:: string, Write a Python function t (... 217 chars omitted)
child 0, Explain how quaternion algebra parameterizes 4D rotations:: string
child 1, Write a Python function to compute the Fibonacci sequence efficiently:: string
child 2, The fundamental reason sub-2-bit quantization suffers from outlier collapse is: string
child 3, In quantum mechanics, the relationship between SU(2) and SO(3) is: string
child 1, arm_g_64: struct<Explain how quaternion algebra parameterizes 4D rotations:: string, Write a Python function t (... 217 chars omitted)
child 0, Explain how quaternion algebra parameterizes 4D rotations:: string
child 1, Write a Python function to compute the Fibonacci sequence efficiently:: string
child 2, The fundamental reason sub-2-bit quantization suffers from outlier collapse is: string
child 3, In quantum mechanics, the relationship between SU(2) and SO(3) is: string
to
{'model_id': Value('string'), 'generations': {'arm_g_32': {'Explain how quaternion algebra parameterizes 4D rotations:': Value('string'), 'Write a Python function to compute the Fibonacci sequence efficiently:': Value('string'), 'The fundamental reason sub-2-bit quantization suffers from outlier collapse is': Value('string'), 'In quantum mechanics, the relationship between SU(2) and SO(3) is': Value('string')}, 'arm_g_64': {'Explain how quaternion algebra parameterizes 4D rotations:': Value('string'), 'Write a Python function to compute the Fibonacci sequence efficiently:': Value('string'), 'The fundamental reason sub-2-bit quantization suffers from outlier collapse is': Value('string'), 'In quantum mechanics, the relationship between SU(2) and SO(3) is': 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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
model_id: string
n_eval_tokens: int64
arms: struct<g_32: struct<group_size: int64, rank: int64, avg_bpw: double, kl_nats_per_token: double, top1 (... 930 chars omitted)
child 0, g_32: struct<group_size: int64, rank: int64, avg_bpw: double, kl_nats_per_token: double, top1_agreement_pc (... 404 chars omitted)
child 0, group_size: int64
child 1, rank: int64
child 2, avg_bpw: double
child 3, kl_nats_per_token: double
child 4, top1_agreement_pct: double
child 5, student_perplexity: double
child 6, teacher_perplexity: double
child 7, coherence_samples: struct<Explain how quaternion algebra parameterizes 4D rotations:: string, Write a Python function t (... 217 chars omitted)
child 0, Explain how quaternion algebra parameterizes 4D rotations:: string
child 1, Write a Python function to compute the Fibonacci sequence efficiently:: string
child 2, The fundamental reason sub-2-bit quantization suffers from outlier collapse is: string
child 3, In quantum mechanics, the relationship between SU(2) and SO(3) is: string
child 1, g_64: struct<group_size: int64, rank: int64, avg_bpw: double, kl_nats_per_token: double, top1_agreement_pc (... 404 chars omitted)
child 0, group_size: int64
child 1, rank: int64
child 2, avg_bpw: double
child 3, kl_nats_per_token: double
child 4, top1_agreement_pct: double
child 5, student_perplexity: double
child 6, teacher_perplexi
...
otations:: string
child 1, Write a Python function to compute the Fibonacci sequence efficiently:: string
child 2, The fundamental reason sub-2-bit quantization suffers from outlier collapse is: string
child 3, In quantum mechanics, the relationship between SU(2) and SO(3) is: string
timestamp_utc: string
generations: struct<arm_g_32: struct<Explain how quaternion algebra parameterizes 4D rotations:: string, Write a (... 564 chars omitted)
child 0, arm_g_32: struct<Explain how quaternion algebra parameterizes 4D rotations:: string, Write a Python function t (... 217 chars omitted)
child 0, Explain how quaternion algebra parameterizes 4D rotations:: string
child 1, Write a Python function to compute the Fibonacci sequence efficiently:: string
child 2, The fundamental reason sub-2-bit quantization suffers from outlier collapse is: string
child 3, In quantum mechanics, the relationship between SU(2) and SO(3) is: string
child 1, arm_g_64: struct<Explain how quaternion algebra parameterizes 4D rotations:: string, Write a Python function t (... 217 chars omitted)
child 0, Explain how quaternion algebra parameterizes 4D rotations:: string
child 1, Write a Python function to compute the Fibonacci sequence efficiently:: string
child 2, The fundamental reason sub-2-bit quantization suffers from outlier collapse is: string
child 3, In quantum mechanics, the relationship between SU(2) and SO(3) is: string
to
{'model_id': Value('string'), 'generations': {'arm_g_32': {'Explain how quaternion algebra parameterizes 4D rotations:': Value('string'), 'Write a Python function to compute the Fibonacci sequence efficiently:': Value('string'), 'The fundamental reason sub-2-bit quantization suffers from outlier collapse is': Value('string'), 'In quantum mechanics, the relationship between SU(2) and SO(3) is': Value('string')}, 'arm_g_64': {'Explain how quaternion algebra parameterizes 4D rotations:': Value('string'), 'Write a Python function to compute the Fibonacci sequence efficiently:': Value('string'), 'The fundamental reason sub-2-bit quantization suffers from outlier collapse is': Value('string'), 'In quantum mechanics, the relationship between SU(2) and SO(3) is': 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.
QuATernaryons - some of our newest research on self-distilled and weight-aware quantisation and cheap training off of self distillation in order for highly conserved performance at low bit size, and in ternary
The pdf is in this repo. you may have a look this repo is associated with:
Gondaliya, S. D. (2026). QuATernaryons: Dual-Sided Sub-2-Bit Weight and Dynamic KV-Cache Quantization via 4D Isoclinic Clifford Rotors (Version 0.1.0). Zenodo. https://doi.org/10.5281/zenodo.23530592 and has the digital object identifier : https://doi.org/10.5281/zenodo.23530592
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