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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    AttributeError
Message:      'list' object has no attribute 'get'
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1585, in _prepare_split_single
                  example = self.info.features.encode_example(record) if self.info.features is not None else record
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2045, in encode_example
                  return encode_nested_example(self, example)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1340, in encode_nested_example
                  {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1340, in encode_nested_example
                  {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
                                                       ^^^^^^^
              AttributeError: 'list' object has no attribute 'get'
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1334, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 911, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1447, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1604, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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vectors/power_congestion_worst/nets/net_2016
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vectors/power_congestion_worst/nets/net_4898
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vectors/power_congestion_worst/nets/net_1948
hf://datasets/AiEDA/iDATA@095591b95a517e465d7cec7385b2e4c4f4c389b8/PPU/place/vectors/PPU_place_vectors.tar.gz
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vectors/power_congestion_worst/nets/net_7216
hf://datasets/AiEDA/iDATA@095591b95a517e465d7cec7385b2e4c4f4c389b8/PPU/place/vectors/PPU_place_vectors.tar.gz
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vectors/power_congestion_worst/nets/net_5500
hf://datasets/AiEDA/iDATA@095591b95a517e465d7cec7385b2e4c4f4c389b8/PPU/place/vectors/PPU_place_vectors.tar.gz
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vectors/power_congestion_worst/nets/net_5818
hf://datasets/AiEDA/iDATA@095591b95a517e465d7cec7385b2e4c4f4c389b8/PPU/place/vectors/PPU_place_vectors.tar.gz
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vectors/power_congestion_worst/nets/net_4157
hf://datasets/AiEDA/iDATA@095591b95a517e465d7cec7385b2e4c4f4c389b8/PPU/place/vectors/PPU_place_vectors.tar.gz
{ "feature": { "C": 0, "R": 0, "area": 0, "aspect_ratio": 0, "delay": 0, "drc_num": 0, "drc_type": [], "height": 0, "layer_ratio": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "llx": 0, "lly": 0, "place_featu...
vectors/power_congestion_worst/nets/net_6906
hf://datasets/AiEDA/iDATA@095591b95a517e465d7cec7385b2e4c4f4c389b8/PPU/place/vectors/PPU_place_vectors.tar.gz
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vectors/power_congestion_worst/nets/net_280
hf://datasets/AiEDA/iDATA@095591b95a517e465d7cec7385b2e4c4f4c389b8/PPU/place/vectors/PPU_place_vectors.tar.gz
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vectors/power_congestion_worst/nets/net_4207
hf://datasets/AiEDA/iDATA@095591b95a517e465d7cec7385b2e4c4f4c389b8/PPU/place/vectors/PPU_place_vectors.tar.gz
{ "feature": { "C": 0, "R": 0, "area": 0, "aspect_ratio": 0, "delay": 0, "drc_num": 0, "drc_type": [], "height": 0, "layer_ratio": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "llx": 0, "lly": 0, "place_featu...
vectors/power_congestion_worst/nets/net_4886
hf://datasets/AiEDA/iDATA@095591b95a517e465d7cec7385b2e4c4f4c389b8/PPU/place/vectors/PPU_place_vectors.tar.gz
{ "feature": { "C": 0, "R": 0, "area": 0, "aspect_ratio": 0, "delay": 0, "drc_num": 0, "drc_type": [], "height": 0, "layer_ratio": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "llx": 0, "lly": 0, "place_featu...
vectors/power_congestion_worst/nets/net_432
hf://datasets/AiEDA/iDATA@095591b95a517e465d7cec7385b2e4c4f4c389b8/PPU/place/vectors/PPU_place_vectors.tar.gz
{ "feature": { "C": 0, "R": 0, "area": 0, "aspect_ratio": 0, "delay": 0, "drc_num": 0, "drc_type": [], "height": 0, "layer_ratio": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "llx": 0, "lly": 0, "place_featu...
vectors/power_congestion_worst/nets/net_1292
hf://datasets/AiEDA/iDATA@095591b95a517e465d7cec7385b2e4c4f4c389b8/PPU/place/vectors/PPU_place_vectors.tar.gz
{ "feature": { "C": 0, "R": 0, "area": 0, "aspect_ratio": 0, "delay": 0, "drc_num": 0, "drc_type": [], "height": 0, "layer_ratio": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "llx": 0, "lly": 0, "place_featu...
vectors/power_congestion_worst/nets/net_2306
hf://datasets/AiEDA/iDATA@095591b95a517e465d7cec7385b2e4c4f4c389b8/PPU/place/vectors/PPU_place_vectors.tar.gz
{ "feature": { "C": 0, "R": 0, "area": 0, "aspect_ratio": 0, "delay": 0, "drc_num": 0, "drc_type": [], "height": 0, "layer_ratio": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "llx": 0, "lly": 0, "place_featu...
vectors/power_congestion_worst/nets/net_1967
hf://datasets/AiEDA/iDATA@095591b95a517e465d7cec7385b2e4c4f4c389b8/PPU/place/vectors/PPU_place_vectors.tar.gz
{ "feature": { "C": 0, "R": 0, "area": 0, "aspect_ratio": 0, "delay": 0, "drc_num": 0, "drc_type": [], "height": 0, "layer_ratio": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "llx": 0, "lly": 0, "place_featu...
vectors/power_congestion_worst/nets/net_230
hf://datasets/AiEDA/iDATA@095591b95a517e465d7cec7385b2e4c4f4c389b8/PPU/place/vectors/PPU_place_vectors.tar.gz
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