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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
schema_version: string
generated_at: string
group_count: int64
preferred_pair_count: int64
groups: list<item: struct<scope_key: string, category: string, scope: struct<model: string, model_canonical_ (... 3421 chars omitted)
child 0, item: struct<scope_key: string, category: string, scope: struct<model: string, model_canonical_id: string, (... 3409 chars omitted)
child 0, scope_key: string
child 1, category: string
child 2, scope: struct<model: string, model_canonical_id: string, model_short_name: string, model_display_name: stri (... 169 chars omitted)
child 0, model: string
child 1, model_canonical_id: string
child 2, model_short_name: string
child 3, model_display_name: string
child 4, hardware: string
child 5, precision: string
child 6, workload: string
child 7, config_type: string
child 8, chip_count: int64
child 9, node_count: int64
child 10, setting_signature: string
child 11, setting_summary: string
child 3, engines: list<item: struct<engine: string, engine_version: string, entry_id: string, submitted_at: timestamp[ (... 893 chars omitted)
child 0, item: struct<engine: string, engine_version: string, entry_id: string, submitted_at: timestamp[s], canonic (... 881 chars omitted)
child 0, engine: string
child 1, engine_version: string
child 2, entry_id: string
ch
...
1, long_context_ttft_p99_stable: null
child 12, long_context_tpot_p95_stable: null
child 13, long_context_tpot_p99_stable: null
child 14, unit_token_cost_reduction_pct: null
child 15, multi_tenant_high_utilization: null
child 3, thresholds: struct<single_chip_effective_utilization_pct: double, typical_throughput_ratio_vs_baseline: double, (... 162 chars omitted)
child 0, single_chip_effective_utilization_pct: double
child 1, typical_throughput_ratio_vs_baseline: double
child 2, typical_ttft_reduction_pct_vs_baseline: double
child 3, typical_tpot_reduction_pct_vs_baseline: double
child 4, long_context_length: int64
child 5, unit_token_cost_reduction_pct: double
child 4, metric_deltas: struct<single_chip_effective_utilization_pct: null, typical_throughput_ratio_vs_baseline: null, typi (... 124 chars omitted)
child 0, single_chip_effective_utilization_pct: null
child 1, typical_throughput_ratio_vs_baseline: null
child 2, typical_ttft_reduction_pct_vs_baseline: null
child 3, typical_tpot_reduction_pct_vs_baseline: null
child 4, unit_token_cost_reduction_pct: null
child 5, overall_pass: bool
child 6, selection_rank: int64
last_updated: timestamp[s]
to
{'last_updated': Value('timestamp[s]')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
schema_version: string
generated_at: string
group_count: int64
preferred_pair_count: int64
groups: list<item: struct<scope_key: string, category: string, scope: struct<model: string, model_canonical_ (... 3421 chars omitted)
child 0, item: struct<scope_key: string, category: string, scope: struct<model: string, model_canonical_id: string, (... 3409 chars omitted)
child 0, scope_key: string
child 1, category: string
child 2, scope: struct<model: string, model_canonical_id: string, model_short_name: string, model_display_name: stri (... 169 chars omitted)
child 0, model: string
child 1, model_canonical_id: string
child 2, model_short_name: string
child 3, model_display_name: string
child 4, hardware: string
child 5, precision: string
child 6, workload: string
child 7, config_type: string
child 8, chip_count: int64
child 9, node_count: int64
child 10, setting_signature: string
child 11, setting_summary: string
child 3, engines: list<item: struct<engine: string, engine_version: string, entry_id: string, submitted_at: timestamp[ (... 893 chars omitted)
child 0, item: struct<engine: string, engine_version: string, entry_id: string, submitted_at: timestamp[s], canonic (... 881 chars omitted)
child 0, engine: string
child 1, engine_version: string
child 2, entry_id: string
ch
...
1, long_context_ttft_p99_stable: null
child 12, long_context_tpot_p95_stable: null
child 13, long_context_tpot_p99_stable: null
child 14, unit_token_cost_reduction_pct: null
child 15, multi_tenant_high_utilization: null
child 3, thresholds: struct<single_chip_effective_utilization_pct: double, typical_throughput_ratio_vs_baseline: double, (... 162 chars omitted)
child 0, single_chip_effective_utilization_pct: double
child 1, typical_throughput_ratio_vs_baseline: double
child 2, typical_ttft_reduction_pct_vs_baseline: double
child 3, typical_tpot_reduction_pct_vs_baseline: double
child 4, long_context_length: int64
child 5, unit_token_cost_reduction_pct: double
child 4, metric_deltas: struct<single_chip_effective_utilization_pct: null, typical_throughput_ratio_vs_baseline: null, typi (... 124 chars omitted)
child 0, single_chip_effective_utilization_pct: null
child 1, typical_throughput_ratio_vs_baseline: null
child 2, typical_ttft_reduction_pct_vs_baseline: null
child 3, typical_tpot_reduction_pct_vs_baseline: null
child 4, unit_token_cost_reduction_pct: null
child 5, overall_pass: bool
child 6, selection_rank: int64
last_updated: timestamp[s]
to
{'last_updated': Value('timestamp[s]')}
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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