Datasets:

ydshieh
/

A100_benchmark_gpt-fast

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Split (1)
train
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ValueError
Message:      Not able to read records in the JSON file at hf://datasets/ydshieh/A100_benchmark_gpt-fast@3d595d0ee99d46b532265fc547c9cd5f564b2369/results.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['(max_new_tokens=256, dynamic=False, dynamic_length_multiplier=0, attn_backend=math)', '(max_new_tokens=256, dynamic=False, dynamic_length_multiplier=0, attn_backend=mem_efficient)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=16, attn_backend=math)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=16, attn_backend=mem_efficient)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=64, attn_backend=math)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=64, attn_backend=mem_efficient)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=256, attn_backend=math)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=256, attn_backend=mem_efficient)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=-1, attn_backend=math)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=-1, attn_backend=mem_efficient)', '(max_new_tokens=512, dynamic=False, dynamic_length_multiplier=0, attn_backend=math)', '(max_new_tokens=512, dynamic=False, dynamic_length_multiplier=0, attn_backend=mem_efficient)', '(max_new_tokens=512, dynamic=True, dynamic_length_multiplier=16, attn_backend=math)', '(max_new_tokens=512, dynamic=True, dynamic_length_multiplier=16, attn_backend=mem_efficient)', '(max_new_tokens=512, dynamic=True, dynamic_length_multiplier=64, attn_backend=math)', '(max_new_tokens=512, dynamic=True, dynamic_length_multiplier=64, attn_backend=mem_efficient)', '(max_new_tokens=512, dynamic=True, dynamic_length_multiplier=256, attn_backend=math)', '(max_new_tokens=512, dynamic=True, dynamic_length_multiplier=256, attn_backend=mem_efficient)', '(max_new_tokens=512, dynamic=True, dynamic_length_multiplier=-1, attn_backend=math)', '(max_new_tokens=512, dynamic=True, dynamic_length_multiplier=-1, attn_backend=mem_efficient)', '(max_new_tokens=1024, dynamic=False, dynamic_length_multiplier=0, attn_backend=math)', '(max_new_tokens=1024, 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'(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=2048, attn_backend=mem_efficient)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=32, attn_backend=math)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=32, attn_backend=mem_efficient)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=128, attn_backend=math)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=128, attn_backend=mem_efficient)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=512, attn_backend=math)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=512, attn_backend=mem_efficient)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=2048, attn_backend=math)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=2048, attn_backend=mem_efficient)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=32, attn_backend=math)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=32, attn_backend=mem_efficient)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=128, attn_backend=math)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=128, attn_backend=mem_efficient)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=512, attn_backend=math)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=512, attn_backend=mem_efficient)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=2048, attn_backend=math)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=2048, attn_backend=mem_efficient)', '(max_new_tokens=16384, dynamic=True, dynamic_length_multiplier=32, attn_backend=math)', '(max_new_tokens=16384, dynamic=True, dynamic_length_multiplier=32, attn_backend=mem_efficient)', '(max_new_tokens=16384, dynamic=True, dynamic_length_multiplier=128, attn_backend=math)', '(max_new_tokens=16384, dynamic=True, dynamic_length_multiplier=128, attn_backend=mem_efficient)', '(max_new_tokens=16384, dynamic=True, dynamic_length_multiplier=512, attn_backend=math)', '(max_new_tokens=16384, dynamic=True, dynamic_length_multiplier=512, attn_backend=mem_efficient)', '(max_new_tokens=16384, dynamic=True, dynamic_length_multiplier=2048, attn_backend=math)', '(max_new_tokens=16384, dynamic=True, dynamic_length_multiplier=2048, attn_backend=mem_efficient)', '(max_new_tokens=32768, dynamic=True, dynamic_length_multiplier=32, attn_backend=math)', '(max_new_tokens=32768, dynamic=True, dynamic_length_multiplier=32, attn_backend=mem_efficient)', '(max_new_tokens=32768, dynamic=True, dynamic_length_multiplier=128, attn_backend=math)', '(max_new_tokens=32768, dynamic=True, dynamic_length_multiplier=128, attn_backend=mem_efficient)', '(max_new_tokens=32768, dynamic=True, dynamic_length_multiplier=512, attn_backend=math)', '(max_new_tokens=32768, dynamic=True, dynamic_length_multiplier=512, attn_backend=mem_efficient)', '(max_new_tokens=32768, dynamic=True, dynamic_length_multiplier=2048, attn_backend=math)', '(max_new_tokens=32768, dynamic=True, dynamic_length_multiplier=2048, attn_backend=mem_efficient)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=1, attn_backend=math)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=1, attn_backend=mem_efficient)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=2, attn_backend=math)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=2, attn_backend=mem_efficient)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=4, attn_backend=math)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=4, attn_backend=mem_efficient)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=8, attn_backend=math)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=8, attn_backend=mem_efficient)', '(max_new_tokens=512, dynamic=True, dynamic_length_multiplier=1, attn_backend=math)', '(max_new_tokens=512, dynamic=True, dynamic_length_multiplier=1, attn_backend=mem_efficient)', '(max_new_tokens=512, dynamic=True, dynamic_length_multiplier=2, attn_backend=math)', '(max_new_tokens=512, dynamic=True, dynamic_length_multiplier=2, attn_backend=mem_efficient)', '(max_new_tokens=512, dynamic=True, dynamic_length_multiplier=4, attn_backend=math)', '(max_new_tokens=512, dynamic=True, dynamic_length_multiplier=4, attn_backend=mem_efficient)', '(max_new_tokens=512, dynamic=True, dynamic_length_multiplier=8, attn_backend=math)', '(max_new_tokens=512, dynamic=True, dynamic_length_multiplier=8, attn_backend=mem_efficient)', '(max_new_tokens=1024, dynamic=True, dynamic_length_multiplier=1, attn_backend=math)', '(max_new_tokens=1024, dynamic=True, dynamic_length_multiplier=1, attn_backend=mem_efficient)', '(max_new_tokens=1024, dynamic=True, dynamic_length_multiplier=2, attn_backend=math)', '(max_new_tokens=1024, dynamic=True, dynamic_length_multiplier=2, attn_backend=mem_efficient)', '(max_new_tokens=1024, dynamic=True, dynamic_length_multiplier=4, attn_backend=math)', '(max_new_tokens=1024, dynamic=True, dynamic_length_multiplier=4, attn_backend=mem_efficient)', '(max_new_tokens=1024, dynamic=True, dynamic_length_multiplier=8, attn_backend=math)', '(max_new_tokens=1024, dynamic=True, dynamic_length_multiplier=8, attn_backend=mem_efficient)', '(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=1, attn_backend=math)', '(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=1, attn_backend=mem_efficient)', '(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=2, attn_backend=math)', '(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=2, attn_backend=mem_efficient)', '(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=4, attn_backend=math)', '(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=4, attn_backend=mem_efficient)', '(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=8, attn_backend=math)', '(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=8, attn_backend=mem_efficient)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=1, attn_backend=math)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=1, attn_backend=mem_efficient)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=2, attn_backend=math)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=2, attn_backend=mem_efficient)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=4, attn_backend=math)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=4, attn_backend=mem_efficient)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=8, attn_backend=math)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=8, attn_backend=mem_efficient)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=1, attn_backend=math)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=1, attn_backend=mem_efficient)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=2, attn_backend=math)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=2, attn_backend=mem_efficient)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=4, attn_backend=math)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=4, attn_backend=mem_efficient)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=8, attn_backend=math)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=8, attn_backend=mem_efficient)']. Select the correct one and provide it as `field='XXX'` to the dataset loading method. 
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 240, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head
                  return _examples_to_batch(list(self.take(n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__
                  yield from islice(self.ex_iterable, self.n)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
                  for key, pa_table in self.generate_tables_fn(**self.kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 170, in _generate_tables
                  raise ValueError(
              ValueError: Not able to read records in the JSON file at hf://datasets/ydshieh/A100_benchmark_gpt-fast@3d595d0ee99d46b532265fc547c9cd5f564b2369/results.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['(max_new_tokens=256, dynamic=False, dynamic_length_multiplier=0, attn_backend=math)', '(max_new_tokens=256, dynamic=False, dynamic_length_multiplier=0, attn_backend=mem_efficient)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=16, attn_backend=math)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=16, attn_backend=mem_efficient)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=64, attn_backend=math)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=64, attn_backend=mem_efficient)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=256, attn_backend=math)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=256, attn_backend=mem_efficient)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=-1, attn_backend=math)', '(max_new_tokens=256, dynamic=True, dynamic_length_multiplier=-1, attn_backend=mem_efficient)', '(max_new_tokens=512, dynamic=False, 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dynamic=True, dynamic_length_multiplier=4, attn_backend=math)', '(max_new_tokens=1024, dynamic=True, dynamic_length_multiplier=4, attn_backend=mem_efficient)', '(max_new_tokens=1024, dynamic=True, dynamic_length_multiplier=8, attn_backend=math)', '(max_new_tokens=1024, dynamic=True, dynamic_length_multiplier=8, attn_backend=mem_efficient)', '(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=1, attn_backend=math)', '(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=1, attn_backend=mem_efficient)', '(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=2, attn_backend=math)', '(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=2, attn_backend=mem_efficient)', '(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=4, attn_backend=math)', '(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=4, attn_backend=mem_efficient)', '(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=8, attn_backend=math)', '(max_new_tokens=2048, dynamic=True, dynamic_length_multiplier=8, attn_backend=mem_efficient)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=1, attn_backend=math)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=1, attn_backend=mem_efficient)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=2, attn_backend=math)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=2, attn_backend=mem_efficient)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=4, attn_backend=math)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=4, attn_backend=mem_efficient)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=8, attn_backend=math)', '(max_new_tokens=4096, dynamic=True, dynamic_length_multiplier=8, attn_backend=mem_efficient)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=1, attn_backend=math)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=1, attn_backend=mem_efficient)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=2, attn_backend=math)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=2, attn_backend=mem_efficient)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=4, attn_backend=math)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=4, attn_backend=mem_efficient)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=8, attn_backend=math)', '(max_new_tokens=8192, dynamic=True, dynamic_length_multiplier=8, attn_backend=mem_efficient)']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.
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