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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::facebook/opt-6.7b: struct<model: string, ratio: double, n_calib: int64, methods: struct<swift: string>, ppl: struct<swi (... 47 chars omitted)
child 0, model: string
child 1, ratio: double
child 2, n_calib: int64
child 3, methods: struct<swift: string>
child 0, swift: string
child 4, ppl: struct<swift: double>
child 0, swift: double
child 5, compress_s: struct<swift: double>
child 0, swift: double
created_at: string
note: string
algorithm: string
claims: struct<claim_2: struct<description: string, model_used: string, model_substitution: string, measured (... 1053 chars omitted)
child 0, claim_2: struct<description: string, model_used: string, model_substitution: string, measured_ppl: struct<swi (... 260 chars omitted)
child 0, description: string
child 1, model_used: string
child 2, model_substitution: string
child 3, measured_ppl: struct<swift: double, whitened: double, plain: double>
child 0, swift: double
child 1, whitened: double
child 2, plain: double
child 4, paper_ppl: struct<swift_star_dynamic: double, swift_uniform: double, dobi_svd_wo: double, svd_llm_w: double, de (... 12 chars omitted)
child 0, swift_star_dynamic: double
child 1, swift_uniform: double
child 2, dobi_svd_wo: double
child 3, svd_llm_w: double
child 4, dense: double
child 5, swift_beats_svdllm_w: bool
child 6, swift_beats_plain: bool
chi
...
child 2, n_calib: int64
child 3, methods: struct<swift: string, whitened: string, plain: string, dobi_timing: string>
child 0, swift: string
child 1, whitened: string
child 2, plain: string
child 3, dobi_timing: string
child 4, ppl: struct<swift: double, whitened: double, plain: double>
child 0, swift: double
child 1, whitened: double
child 2, plain: double
child 5, compress_s: struct<swift: double, whitened: double, plain: double>
child 0, swift: double
child 1, whitened: double
child 2, plain: double
child 1, facebook/opt-6.7b: struct<status: string>
child 0, status: string
child 2, mistralai/Mistral-7B-v0.1: struct<status: string>
child 0, status: string
environment: struct<python: string, platform: string, torch: string, numpy: string, cuda_available: bool, device_ (... 266 chars omitted)
child 0, python: string
child 1, platform: string
child 2, torch: string
child 3, numpy: string
child 4, cuda_available: bool
child 5, device_name: string
child 6, paper_hw_reference: string
child 7, paper_arxiv: string
child 8, openreview_id: string
child 9, upstream_commit: string
child 10, smoke: bool
child 11, ratio: double
child 12, n_calib: int64
child 13, calib_seqlen: int64
child 14, n_eval: int64
child 15, eval_seqlen: int64
child 16, wall_s: double
child 17, wall_elapsed_s: double
child 18, wall_hit: bool
to
{'created_at': Value('string'), 'paper': Value('string'), 'algorithm': Value('string'), 'environment': {'python': Value('string'), 'platform': Value('string'), 'torch': Value('string'), 'numpy': Value('string'), 'cuda_available': Value('bool'), 'device_name': Value('string'), 'paper_hw_reference': Value('string'), 'paper_arxiv': Value('string'), 'openreview_id': Value('string'), 'upstream_commit': Value('string'), 'smoke': Value('bool'), 'ratio': Value('float64'), 'n_calib': Value('int64'), 'calib_seqlen': Value('int64'), 'n_eval': Value('int64'), 'eval_seqlen': Value('int64'), 'wall_s': Value('float64'), 'wall_elapsed_s': Value('float64'), 'wall_hit': Value('bool')}, 'per_model': {'huggyllama/llama-7b': {'model': Value('string'), 'ratio': Value('float64'), 'n_calib': Value('int64'), 'methods': {'swift': Value('string'), 'whitened': Value('string'), 'plain': Value('string'), 'dobi_timing': Value('string')}, 'ppl': {'swift': Value('float64'), 'whitened': Value('float64'), 'plain': Value('float64')}, 'compress_s': {'swift': Value('float64'), 'whitened': Value('float64'), 'plain': Value('float64')}}, 'facebook/opt-6.7b': {'status': Value('string')}, 'mistralai/Mistral-7B-v0.1': {'status': Value('string')}}, 'claims': {'claim_2': {'description': Value('string'), 'model_used': Value('string'), 'model_substitution': Value('string'), 'measured_ppl': {'swift': Value('float64'), 'whitened': Value('float64'), 'plain': Value('float64')}, 'paper_ppl': {'swift_star_dynamic': Value('float64'), 'swift_uniform': Value('float64'), 'dobi_svd_wo': Value('float64'), 'svd_llm_w': Value('float64'), 'dense': Value('float64')}, 'swift_beats_svdllm_w': Value('bool'), 'swift_beats_plain': Value('bool'), 'label': Value('string'), 'label_reason': Value('string')}, 'claim_3': {'description': Value('string'), 'per_model': {'facebook/opt-6.7b': {'measured_ppl': {}, 'paper': {'swift': Value('float64'), 'svdllm_w': Value('float64')}, 'swift_beats_svdllm_w': Value('bool'), 'swift_beats_uniform_plain': Value('bool')}, 'mistralai/Mistral-7B-v0.1': {'measured_ppl': {}, 'paper': {'note': Value('string')}, 'swift_beats_svdllm_w': Value('bool'), 'swift_beats_uniform_plain': Value('bool')}}, 'label': Value('string'), 'label_reason': Value('string')}, 'claim_4': {'description': Value('string'), 'compress_seconds': {'swift_single_eigh': Value('float64'), 'svd_llm_w_whitening': Value('float64'), 'dobi_proxy_iterative': Value('null'), 'dobi_iters': Value('int64')}, 'measured_speedups': {'speedup_vs_svdllm_w': Value('float64')}, 'paper_speedups': {'vs_dobi_wo': Value('float64'), 'vs_svdllm_w': Value('float64'), 'swift_total_s': Value('float64'), 'dobi_wo_total_s': Value('float64')}, 'label': Value('string'), 'label_reason': Value('string')}}, 'note': Value('string'), 'sha256_results': 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
model::facebook/opt-6.7b: struct<model: string, ratio: double, n_calib: int64, methods: struct<swift: string>, ppl: struct<swi (... 47 chars omitted)
child 0, model: string
child 1, ratio: double
child 2, n_calib: int64
child 3, methods: struct<swift: string>
child 0, swift: string
child 4, ppl: struct<swift: double>
child 0, swift: double
child 5, compress_s: struct<swift: double>
child 0, swift: double
created_at: string
note: string
algorithm: string
claims: struct<claim_2: struct<description: string, model_used: string, model_substitution: string, measured (... 1053 chars omitted)
child 0, claim_2: struct<description: string, model_used: string, model_substitution: string, measured_ppl: struct<swi (... 260 chars omitted)
child 0, description: string
child 1, model_used: string
child 2, model_substitution: string
child 3, measured_ppl: struct<swift: double, whitened: double, plain: double>
child 0, swift: double
child 1, whitened: double
child 2, plain: double
child 4, paper_ppl: struct<swift_star_dynamic: double, swift_uniform: double, dobi_svd_wo: double, svd_llm_w: double, de (... 12 chars omitted)
child 0, swift_star_dynamic: double
child 1, swift_uniform: double
child 2, dobi_svd_wo: double
child 3, svd_llm_w: double
child 4, dense: double
child 5, swift_beats_svdllm_w: bool
child 6, swift_beats_plain: bool
chi
...
child 2, n_calib: int64
child 3, methods: struct<swift: string, whitened: string, plain: string, dobi_timing: string>
child 0, swift: string
child 1, whitened: string
child 2, plain: string
child 3, dobi_timing: string
child 4, ppl: struct<swift: double, whitened: double, plain: double>
child 0, swift: double
child 1, whitened: double
child 2, plain: double
child 5, compress_s: struct<swift: double, whitened: double, plain: double>
child 0, swift: double
child 1, whitened: double
child 2, plain: double
child 1, facebook/opt-6.7b: struct<status: string>
child 0, status: string
child 2, mistralai/Mistral-7B-v0.1: struct<status: string>
child 0, status: string
environment: struct<python: string, platform: string, torch: string, numpy: string, cuda_available: bool, device_ (... 266 chars omitted)
child 0, python: string
child 1, platform: string
child 2, torch: string
child 3, numpy: string
child 4, cuda_available: bool
child 5, device_name: string
child 6, paper_hw_reference: string
child 7, paper_arxiv: string
child 8, openreview_id: string
child 9, upstream_commit: string
child 10, smoke: bool
child 11, ratio: double
child 12, n_calib: int64
child 13, calib_seqlen: int64
child 14, n_eval: int64
child 15, eval_seqlen: int64
child 16, wall_s: double
child 17, wall_elapsed_s: double
child 18, wall_hit: bool
to
{'created_at': Value('string'), 'paper': Value('string'), 'algorithm': Value('string'), 'environment': {'python': Value('string'), 'platform': Value('string'), 'torch': Value('string'), 'numpy': Value('string'), 'cuda_available': Value('bool'), 'device_name': Value('string'), 'paper_hw_reference': Value('string'), 'paper_arxiv': Value('string'), 'openreview_id': Value('string'), 'upstream_commit': Value('string'), 'smoke': Value('bool'), 'ratio': Value('float64'), 'n_calib': Value('int64'), 'calib_seqlen': Value('int64'), 'n_eval': Value('int64'), 'eval_seqlen': Value('int64'), 'wall_s': Value('float64'), 'wall_elapsed_s': Value('float64'), 'wall_hit': Value('bool')}, 'per_model': {'huggyllama/llama-7b': {'model': Value('string'), 'ratio': Value('float64'), 'n_calib': Value('int64'), 'methods': {'swift': Value('string'), 'whitened': Value('string'), 'plain': Value('string'), 'dobi_timing': Value('string')}, 'ppl': {'swift': Value('float64'), 'whitened': Value('float64'), 'plain': Value('float64')}, 'compress_s': {'swift': Value('float64'), 'whitened': Value('float64'), 'plain': Value('float64')}}, 'facebook/opt-6.7b': {'status': Value('string')}, 'mistralai/Mistral-7B-v0.1': {'status': Value('string')}}, 'claims': {'claim_2': {'description': Value('string'), 'model_used': Value('string'), 'model_substitution': Value('string'), 'measured_ppl': {'swift': Value('float64'), 'whitened': Value('float64'), 'plain': Value('float64')}, 'paper_ppl': {'swift_star_dynamic': Value('float64'), 'swift_uniform': Value('float64'), 'dobi_svd_wo': Value('float64'), 'svd_llm_w': Value('float64'), 'dense': Value('float64')}, 'swift_beats_svdllm_w': Value('bool'), 'swift_beats_plain': Value('bool'), 'label': Value('string'), 'label_reason': Value('string')}, 'claim_3': {'description': Value('string'), 'per_model': {'facebook/opt-6.7b': {'measured_ppl': {}, 'paper': {'swift': Value('float64'), 'svdllm_w': Value('float64')}, 'swift_beats_svdllm_w': Value('bool'), 'swift_beats_uniform_plain': Value('bool')}, 'mistralai/Mistral-7B-v0.1': {'measured_ppl': {}, 'paper': {'note': Value('string')}, 'swift_beats_svdllm_w': Value('bool'), 'swift_beats_uniform_plain': Value('bool')}}, 'label': Value('string'), 'label_reason': Value('string')}, 'claim_4': {'description': Value('string'), 'compress_seconds': {'swift_single_eigh': Value('float64'), 'svd_llm_w_whitening': Value('float64'), 'dobi_proxy_iterative': Value('null'), 'dobi_iters': Value('int64')}, 'measured_speedups': {'speedup_vs_svdllm_w': Value('float64')}, 'paper_speedups': {'vs_dobi_wo': Value('float64'), 'vs_svdllm_w': Value('float64'), 'swift_total_s': Value('float64'), 'dobi_wo_total_s': Value('float64')}, 'label': Value('string'), 'label_reason': Value('string')}}, 'note': Value('string'), 'sha256_results': 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.
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