Datasets:

---

IlyasMoutawwakil

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benchmarks

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
load_model: struct<memory: struct<unit: string, max_ram: double, max_global_vram: null, max_process_vram: null,  (... 274 chars omitted)
  child 0, memory: struct<unit: string, max_ram: double, max_global_vram: null, max_process_vram: null, max_reserved: n (... 25 chars omitted)
      child 0, unit: string
      child 1, max_ram: double
      child 2, max_global_vram: null
      child 3, max_process_vram: null
      child 4, max_reserved: null
      child 5, max_allocated: null
  child 1, latency: struct<unit: string, values: list<item: double>, count: int64, total: double, mean: double, p50: dou (... 72 chars omitted)
      child 0, unit: string
      child 1, values: list<item: double>
          child 0, item: double
      child 2, count: int64
      child 3, total: double
      child 4, mean: double
      child 5, p50: double
      child 6, p90: double
      child 7, p95: double
      child 8, p99: double
      child 9, stdev: int64
      child 10, stdev_: int64
  child 2, throughput: null
  child 3, energy: null
  child 4, efficiency: null
prefill: struct<memory: struct<unit: string, max_ram: double, max_global_vram: null, max_process_vram: null,  (... 307 chars omitted)
  child 0, memory: struct<unit: string, max_ram: double, max_global_vram: null, max_process_vram: null, max_reserved: n (... 25 chars omitted)
      child 0, unit: string
      child 1, max_ram: double
      child 2, max_global_vram: null
      child 3, max_process_vram: null
      child 4, max_reserved: 
...
essor: string
  child 8, device: string
  child 9, device_ids: null
  child 10, seed: int64
  child 11, inter_op_num_threads: null
  child 12, intra_op_num_threads: null
  child 13, model_kwargs: struct<>
  child 14, processor_kwargs: struct<>
  child 15, no_weights: bool
  child 16, export: null
  child 17, use_cache: null
  child 18, use_merged: null
  child 19, load_in_8bit: null
  child 20, load_in_4bit: null
  child 21, ov_config: struct<>
  child 22, half: bool
  child 23, compile: bool
  child 24, reshape: bool
  child 25, reshape_kwargs: struct<batch_size: int64, sequence_length: int64>
      child 0, batch_size: int64
      child 1, sequence_length: int64
name: string
scenario: struct<name: string, _target_: string, iterations: int64, duration: int64, warmup_runs: int64, input (... 266 chars omitted)
  child 0, name: string
  child 1, _target_: string
  child 2, iterations: int64
  child 3, duration: int64
  child 4, warmup_runs: int64
  child 5, input_shapes: struct<batch_size: int64, sequence_length: int64>
      child 0, batch_size: int64
      child 1, sequence_length: int64
  child 6, new_tokens: null
  child 7, memory: bool
  child 8, latency: bool
  child 9, energy: bool
  child 10, forward_kwargs: struct<>
  child 11, generate_kwargs: struct<max_new_tokens: int64, min_new_tokens: int64>
      child 0, max_new_tokens: int64
      child 1, min_new_tokens: int64
  child 12, call_kwargs: struct<num_inference_steps: int64>
      child 0, num_inference_steps: int64
to
{'name': Value('string'), 'backend': {'name': Value('string'), 'version': Value('string'), '_target_': Value('string'), 'task': Value('string'), 'library': Value('string'), 'model_type': Value('string'), 'model': Value('string'), 'processor': Value('string'), 'device': Value('string'), 'device_ids': Value('null'), 'seed': Value('int64'), 'inter_op_num_threads': Value('null'), 'intra_op_num_threads': Value('null'), 'model_kwargs': {}, 'processor_kwargs': {}, 'no_weights': Value('bool'), 'export': Value('null'), 'use_cache': Value('null'), 'use_merged': Value('null'), 'load_in_8bit': Value('null'), 'load_in_4bit': Value('null'), 'ov_config': {}, 'half': Value('bool'), 'compile': Value('bool'), 'reshape': Value('bool'), 'reshape_kwargs': {'batch_size': Value('int64'), 'sequence_length': Value('int64')}}, 'scenario': {'name': Value('string'), '_target_': Value('string'), 'iterations': Value('int64'), 'duration': Value('int64'), 'warmup_runs': Value('int64'), 'input_shapes': {'batch_size': Value('int64'), 'sequence_length': Value('int64')}, 'new_tokens': Value('null'), 'memory': Value('bool'), 'latency': Value('bool'), 'energy': Value('bool'), 'forward_kwargs': {}, 'generate_kwargs': {'max_new_tokens': Value('int64'), 'min_new_tokens': Value('int64')}, 'call_kwargs': {'num_inference_steps': Value('int64')}}, 'launcher': {'name': Value('string'), '_target_': Value('string'), 'device_isolation': Value('bool'), 'device_isolation_action': Value('null'), 'numactl': Value('bool'), 'numactl_kwargs': {'cpunodebind': Value('int64'), 'membind': Value('int64')}, 'start_method': Value('string')}, 'environment': {'cpu': Value('string'), 'cpu_count': Value('int64'), 'cpu_ram_mb': Value('float64'), 'system': Value('string'), 'machine': Value('string'), 'platform': Value('string'), 'processor': Value('string'), 'python_version': Value('string'), 'optimum_benchmark_version': Value('string'), 'optimum_benchmark_commit': Value('null'), 'transformers_version': Value('string'), 'transformers_commit': Value('null'), 'accelerate_version': Value('string'), 'accelerate_commit': Value('null'), 'diffusers_version': Value('string'), 'diffusers_commit': Value('null'), 'optimum_version': Value('string'), 'optimum_commit': Value('null'), 'timm_version': Value('null'), 'timm_commit': Value('null'), 'peft_version': Value('null'), 'peft_commit': Value('null')}, 'print_report': Value('bool'), 'log_report': Value('bool')}
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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              load_model: struct<memory: struct<unit: string, max_ram: double, max_global_vram: null, max_process_vram: null,  (... 274 chars omitted)
                child 0, memory: struct<unit: string, max_ram: double, max_global_vram: null, max_process_vram: null, max_reserved: n (... 25 chars omitted)
                    child 0, unit: string
                    child 1, max_ram: double
                    child 2, max_global_vram: null
                    child 3, max_process_vram: null
                    child 4, max_reserved: null
                    child 5, max_allocated: null
                child 1, latency: struct<unit: string, values: list<item: double>, count: int64, total: double, mean: double, p50: dou (... 72 chars omitted)
                    child 0, unit: string
                    child 1, values: list<item: double>
                        child 0, item: double
                    child 2, count: int64
                    child 3, total: double
                    child 4, mean: double
                    child 5, p50: double
                    child 6, p90: double
                    child 7, p95: double
                    child 8, p99: double
                    child 9, stdev: int64
                    child 10, stdev_: int64
                child 2, throughput: null
                child 3, energy: null
                child 4, efficiency: null
              prefill: struct<memory: struct<unit: string, max_ram: double, max_global_vram: null, max_process_vram: null,  (... 307 chars omitted)
                child 0, memory: struct<unit: string, max_ram: double, max_global_vram: null, max_process_vram: null, max_reserved: n (... 25 chars omitted)
                    child 0, unit: string
                    child 1, max_ram: double
                    child 2, max_global_vram: null
                    child 3, max_process_vram: null
                    child 4, max_reserved: 
              ...
              essor: string
                child 8, device: string
                child 9, device_ids: null
                child 10, seed: int64
                child 11, inter_op_num_threads: null
                child 12, intra_op_num_threads: null
                child 13, model_kwargs: struct<>
                child 14, processor_kwargs: struct<>
                child 15, no_weights: bool
                child 16, export: null
                child 17, use_cache: null
                child 18, use_merged: null
                child 19, load_in_8bit: null
                child 20, load_in_4bit: null
                child 21, ov_config: struct<>
                child 22, half: bool
                child 23, compile: bool
                child 24, reshape: bool
                child 25, reshape_kwargs: struct<batch_size: int64, sequence_length: int64>
                    child 0, batch_size: int64
                    child 1, sequence_length: int64
              name: string
              scenario: struct<name: string, _target_: string, iterations: int64, duration: int64, warmup_runs: int64, input (... 266 chars omitted)
                child 0, name: string
                child 1, _target_: string
                child 2, iterations: int64
                child 3, duration: int64
                child 4, warmup_runs: int64
                child 5, input_shapes: struct<batch_size: int64, sequence_length: int64>
                    child 0, batch_size: int64
                    child 1, sequence_length: int64
                child 6, new_tokens: null
                child 7, memory: bool
                child 8, latency: bool
                child 9, energy: bool
                child 10, forward_kwargs: struct<>
                child 11, generate_kwargs: struct<max_new_tokens: int64, min_new_tokens: int64>
                    child 0, max_new_tokens: int64
                    child 1, min_new_tokens: int64
                child 12, call_kwargs: struct<num_inference_steps: int64>
                    child 0, num_inference_steps: int64
              to
              {'name': Value('string'), 'backend': {'name': Value('string'), 'version': Value('string'), '_target_': Value('string'), 'task': Value('string'), 'library': Value('string'), 'model_type': Value('string'), 'model': Value('string'), 'processor': Value('string'), 'device': Value('string'), 'device_ids': Value('null'), 'seed': Value('int64'), 'inter_op_num_threads': Value('null'), 'intra_op_num_threads': Value('null'), 'model_kwargs': {}, 'processor_kwargs': {}, 'no_weights': Value('bool'), 'export': Value('null'), 'use_cache': Value('null'), 'use_merged': Value('null'), 'load_in_8bit': Value('null'), 'load_in_4bit': Value('null'), 'ov_config': {}, 'half': Value('bool'), 'compile': Value('bool'), 'reshape': Value('bool'), 'reshape_kwargs': {'batch_size': Value('int64'), 'sequence_length': Value('int64')}}, 'scenario': {'name': Value('string'), '_target_': Value('string'), 'iterations': Value('int64'), 'duration': Value('int64'), 'warmup_runs': Value('int64'), 'input_shapes': {'batch_size': Value('int64'), 'sequence_length': Value('int64')}, 'new_tokens': Value('null'), 'memory': Value('bool'), 'latency': Value('bool'), 'energy': Value('bool'), 'forward_kwargs': {}, 'generate_kwargs': {'max_new_tokens': Value('int64'), 'min_new_tokens': Value('int64')}, 'call_kwargs': {'num_inference_steps': Value('int64')}}, 'launcher': {'name': Value('string'), '_target_': Value('string'), 'device_isolation': Value('bool'), 'device_isolation_action': Value('null'), 'numactl': Value('bool'), 'numactl_kwargs': {'cpunodebind': Value('int64'), 'membind': Value('int64')}, 'start_method': Value('string')}, 'environment': {'cpu': Value('string'), 'cpu_count': Value('int64'), 'cpu_ram_mb': Value('float64'), 'system': Value('string'), 'machine': Value('string'), 'platform': Value('string'), 'processor': Value('string'), 'python_version': Value('string'), 'optimum_benchmark_version': Value('string'), 'optimum_benchmark_commit': Value('null'), 'transformers_version': Value('string'), 'transformers_commit': Value('null'), 'accelerate_version': Value('string'), 'accelerate_commit': Value('null'), 'diffusers_version': Value('string'), 'diffusers_commit': Value('null'), 'optimum_version': Value('string'), 'optimum_commit': Value('null'), 'timm_version': Value('null'), 'timm_commit': Value('null'), 'peft_version': Value('null'), 'peft_commit': Value('null')}, 'print_report': Value('bool'), 'log_report': Value('bool')}
              because column names don't match