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
fa2: struct<num_runs: int64, metrics: struct<prefill_time_s: struct<count: int64, mean: double, std: doub (... 1905 chars omitted)
child 0, num_runs: int64
child 1, metrics: struct<prefill_time_s: struct<count: int64, mean: double, std: double, median: double, p90: double, (... 1476 chars omitted)
child 0, prefill_time_s: struct<count: int64, mean: double, std: double, median: double, p90: double, min: double, max: doubl (... 36 chars omitted)
child 0, count: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 4, p90: double
child 5, min: double
child 6, max: double
child 7, ci95_lo: double
child 8, ci95_hi: double
child 1, cache_setup_time_s: struct<count: int64, mean: double, std: double, median: double, p90: double, min: double, max: doubl (... 36 chars omitted)
child 0, count: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 4, p90: double
child 5, min: double
child 6, max: double
child 7, ci95_lo: double
child 8, ci95_hi: double
child 2, decode_time_s: struct<count: int64, mean: double, std: double, median: double, p90: double, min: double, max: doubl (... 36 chars omitted)
child 0, count: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child
...
child 1, mean: double
child 2, std: double
child 3, median: double
child 4, p90: double
child 5, min: double
child 6, max: double
child 7, ci95_lo: double
child 8, ci95_hi: double
child 9, exact_match_rate: struct<count: int64, mean: double, std: double, median: double, p90: double, min: double, max: doubl (... 36 chars omitted)
child 0, count: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 4, p90: double
child 5, min: double
child 6, max: double
child 7, ci95_lo: double
child 8, ci95_hi: double
child 2, last_backend_info: struct<backend_backend: string, backend_paper_role: string, backend_exact_attention: bool, backend_s (... 157 chars omitted)
child 0, backend_backend: string
child 1, backend_paper_role: string
child 2, backend_exact_attention: bool
child 3, backend_supports_true_batch_decode: bool
child 4, backend_module: string
child 5, backend_requested_S: int64
child 6, backend_seed: int64
child 7, backend_block_n: null
child 8, backend_actual_mode: string
input: string
answer_prefix: string
reproduction_prefix_pad_tokens: int64
reproduction_target_token_length: int64
reproduction_llama3_chat_template: bool
length: int64
outputs: list<item: string>
child 0, item: string
index: int64
length_w_model_temp: int64
to
{'index': Value('int64'), 'input': Value('string'), 'outputs': List(Value('string')), 'length': Value('int64'), 'length_w_model_temp': Value('int64'), 'answer_prefix': Value('string'), 'reproduction_prefix_pad_tokens': Value('int64'), 'reproduction_llama3_chat_template': Value('bool'), 'reproduction_target_token_length': Value('int64')}
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
fa2: struct<num_runs: int64, metrics: struct<prefill_time_s: struct<count: int64, mean: double, std: doub (... 1905 chars omitted)
child 0, num_runs: int64
child 1, metrics: struct<prefill_time_s: struct<count: int64, mean: double, std: double, median: double, p90: double, (... 1476 chars omitted)
child 0, prefill_time_s: struct<count: int64, mean: double, std: double, median: double, p90: double, min: double, max: doubl (... 36 chars omitted)
child 0, count: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 4, p90: double
child 5, min: double
child 6, max: double
child 7, ci95_lo: double
child 8, ci95_hi: double
child 1, cache_setup_time_s: struct<count: int64, mean: double, std: double, median: double, p90: double, min: double, max: doubl (... 36 chars omitted)
child 0, count: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 4, p90: double
child 5, min: double
child 6, max: double
child 7, ci95_lo: double
child 8, ci95_hi: double
child 2, decode_time_s: struct<count: int64, mean: double, std: double, median: double, p90: double, min: double, max: doubl (... 36 chars omitted)
child 0, count: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child
...
child 1, mean: double
child 2, std: double
child 3, median: double
child 4, p90: double
child 5, min: double
child 6, max: double
child 7, ci95_lo: double
child 8, ci95_hi: double
child 9, exact_match_rate: struct<count: int64, mean: double, std: double, median: double, p90: double, min: double, max: doubl (... 36 chars omitted)
child 0, count: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 4, p90: double
child 5, min: double
child 6, max: double
child 7, ci95_lo: double
child 8, ci95_hi: double
child 2, last_backend_info: struct<backend_backend: string, backend_paper_role: string, backend_exact_attention: bool, backend_s (... 157 chars omitted)
child 0, backend_backend: string
child 1, backend_paper_role: string
child 2, backend_exact_attention: bool
child 3, backend_supports_true_batch_decode: bool
child 4, backend_module: string
child 5, backend_requested_S: int64
child 6, backend_seed: int64
child 7, backend_block_n: null
child 8, backend_actual_mode: string
input: string
answer_prefix: string
reproduction_prefix_pad_tokens: int64
reproduction_target_token_length: int64
reproduction_llama3_chat_template: bool
length: int64
outputs: list<item: string>
child 0, item: string
index: int64
length_w_model_temp: int64
to
{'index': Value('int64'), 'input': Value('string'), 'outputs': List(Value('string')), 'length': Value('int64'), 'length_w_model_temp': Value('int64'), 'answer_prefix': Value('string'), 'reproduction_prefix_pad_tokens': Value('int64'), 'reproduction_llama3_chat_template': Value('bool'), 'reproduction_target_token_length': Value('int64')}
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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