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TinyEdge

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edge-inference-benchmarks

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TinyEdge 1

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 8 new columns ({'threads', 'decode_tok_s', 'quant', 'prefill_tok_s', 'quality_metric', 'params_b', 'file_mb', 'quality_value'}) and 11 missing columns ({'throughput_per_s', 'accuracy_value', 'eval_set', 'eval_samples', 'accuracy_metric', 'params_m', 'quant_method', 'input_size', 'precision', 'latency_ms_p50', 'batch_size'}).

This happened while the csv dataset builder was generating data using

hf://datasets/TinyEdge/edge-inference-benchmarks/llm-benchmarks.csv (at revision 2d1078b0e69ff8404f38ec75eda841a566b42702), ['hf://datasets/TinyEdge/edge-inference-benchmarks@2d1078b0e69ff8404f38ec75eda841a566b42702/benchmarks.csv', 'hf://datasets/TinyEdge/edge-inference-benchmarks@2d1078b0e69ff8404f38ec75eda841a566b42702/llm-benchmarks.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              snapshot: double
              task: string
              model: string
              params_b: double
              device: string
              device_type: string
              soc: string
              quant: string
              file_mb: double
              runtime: string
              threads: int64
              decode_tok_s: double
              prefill_tok_s: double
              quality_metric: string
              quality_value: double
              sweep: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2118
              to
              {'snapshot': Value('float64'), 'task': Value('string'), 'model': Value('string'), 'params_m': Value('float64'), 'device': Value('string'), 'device_type': Value('string'), 'soc': Value('string'), 'precision': Value('string'), 'quant_method': Value('string'), 'runtime': Value('string'), 'batch_size': Value('int64'), 'input_size': Value('int64'), 'latency_ms_p50': Value('float64'), 'throughput_per_s': Value('float64'), 'accuracy_metric': Value('string'), 'accuracy_value': Value('float64'), 'eval_set': Value('string'), 'eval_samples': Value('int64'), 'sweep': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1361, 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 940, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, 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 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 8 new columns ({'threads', 'decode_tok_s', 'quant', 'prefill_tok_s', 'quality_metric', 'params_b', 'file_mb', 'quality_value'}) and 11 missing columns ({'throughput_per_s', 'accuracy_value', 'eval_set', 'eval_samples', 'accuracy_metric', 'params_m', 'quant_method', 'input_size', 'precision', 'latency_ms_p50', 'batch_size'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/TinyEdge/edge-inference-benchmarks/llm-benchmarks.csv (at revision 2d1078b0e69ff8404f38ec75eda841a566b42702), ['hf://datasets/TinyEdge/edge-inference-benchmarks@2d1078b0e69ff8404f38ec75eda841a566b42702/benchmarks.csv', 'hf://datasets/TinyEdge/edge-inference-benchmarks@2d1078b0e69ff8404f38ec75eda841a566b42702/llm-benchmarks.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)