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_compile_sdpa@87a7eb2394d381a4ecc3580a9e3f47f5574a74f6/results_full.json. You should probably indicate the field of the JSON file containing your records. 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max_sequence_len=8192, dynamic=True, dynamic_length_multiplier=128, attn_map=math)', '(dim=256, max_sequence_len=8192, dynamic=True, dynamic_length_multiplier=128, attn_map=mem_efficient)', '(dim=256, max_sequence_len=8192, dynamic=True, dynamic_length_multiplier=128, attn_map=flash)', '(dim=256, max_sequence_len=8192, dynamic=True, dynamic_length_multiplier=256, attn_map=math)', '(dim=256, max_sequence_len=8192, dynamic=True, dynamic_length_multiplier=256, attn_map=mem_efficient)', '(dim=256, max_sequence_len=8192, dynamic=True, dynamic_length_multiplier=256, attn_map=flash)', '(dim=256, max_sequence_len=8192, dynamic=True, dynamic_length_multiplier=512, attn_map=math)', '(dim=256, max_sequence_len=8192, dynamic=True, dynamic_length_multiplier=512, attn_map=mem_efficient)', '(dim=256, max_sequence_len=8192, dynamic=True, dynamic_length_multiplier=512, attn_map=flash)', '(dim=256, max_sequence_len=8192, dynamic=True, dynamic_length_multiplier=1024, attn_map=math)', '(dim=256, 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dynamic_length_multiplier=1024, attn_map=mem_efficient)', '(dim=256, max_sequence_len=32768, dynamic=True, dynamic_length_multiplier=1024, attn_map=flash)', '(dim=256, max_sequence_len=32768, dynamic=True, dynamic_length_multiplier=2048, attn_map=math)', '(dim=256, max_sequence_len=32768, dynamic=True, dynamic_length_multiplier=2048, attn_map=mem_efficient)', '(dim=256, max_sequence_len=32768, dynamic=True, dynamic_length_multiplier=2048, attn_map=flash)', '(dim=256, max_sequence_len=32768, dynamic=True, dynamic_length_multiplier=4096, attn_map=math)', '(dim=256, max_sequence_len=32768, dynamic=True, dynamic_length_multiplier=4096, attn_map=mem_efficient)', '(dim=256, max_sequence_len=32768, dynamic=True, dynamic_length_multiplier=4096, attn_map=flash)', '(dim=256, max_sequence_len=32768, dynamic=True, dynamic_length_multiplier=8192, attn_map=math)', '(dim=256, max_sequence_len=32768, dynamic=True, dynamic_length_multiplier=8192, attn_map=mem_efficient)', '(dim=256, max_sequence_len=32768, dynamic=True, dynamic_length_multiplier=8192, attn_map=flash)', '(dim=256, max_sequence_len=32768, dynamic=True, dynamic_length_multiplier=16384, attn_map=math)', '(dim=256, max_sequence_len=32768, dynamic=True, dynamic_length_multiplier=16384, attn_map=mem_efficient)', '(dim=256, max_sequence_len=32768, dynamic=True, dynamic_length_multiplier=16384, attn_map=flash)', '(dim=256, max_sequence_len=32768, dynamic=True, dynamic_length_multiplier=32768, attn_map=math)', '(dim=256, max_sequence_len=32768, dynamic=True, dynamic_length_multiplier=32768, attn_map=mem_efficient)', '(dim=256, max_sequence_len=32768, dynamic=True, dynamic_length_multiplier=32768, attn_map=flash)', '(dim=256, max_sequence_len=65536, dynamic=False, dynamic_length_multiplier=0, attn_map=math)', '(dim=256, max_sequence_len=65536, dynamic=False, dynamic_length_multiplier=0, attn_map=mem_efficient)', '(dim=256, max_sequence_len=65536, dynamic=False, dynamic_length_multiplier=0, attn_map=flash)', '(dim=256, max_sequence_len=65536, dynamic=True, dynamic_length_multiplier=0, attn_map=math)']. 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_compile_sdpa@87a7eb2394d381a4ecc3580a9e3f47f5574a74f6/results_full.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['(dim=256, max_sequence_len=256, dynamic=False, dynamic_length_multiplier=0, attn_map=math)', '(dim=256, max_sequence_len=256, dynamic=False, dynamic_length_multiplier=0, attn_map=mem_efficient)', '(dim=256, max_sequence_len=256, dynamic=False, dynamic_length_multiplier=0, attn_map=flash)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=0, attn_map=math)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=0, attn_map=mem_efficient)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=0, attn_map=flash)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=1, attn_map=math)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=1, attn_map=mem_efficient)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=1, attn_map=flash)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=2, attn_map=math)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=2, attn_map=mem_efficient)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=2, attn_map=flash)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=4, attn_map=math)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=4, attn_map=mem_efficient)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=4, attn_map=flash)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=8, attn_map=math)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=8, attn_map=mem_efficient)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=8, attn_map=flash)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=16, attn_map=math)', '(dim=256, max_sequence_len=256, dynamic=True, dynamic_length_multiplier=16, attn_map=mem_efficient)', '(dim=256, 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'(dim=256, max_sequence_len=65536, dynamic=True, dynamic_length_multiplier=0, attn_map=math)']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.
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