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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<model_quantization_bits: int64, max_sequence_length: int64, params: int64, model_name: string>
to
{'model_quantization_bits': Value(dtype='int64', id=None), 'model_quantization_group_size': Value(dtype='int64', id=None), 'model_quantization_act_order': Value(dtype='string', id=None), 'model_quantization_damp': Value(dtype='float64', id=None), 'max_sequence_length': Value(dtype='int64', id=None), 'params': Value(dtype='int64', id=None), 'model_name': Value(dtype='string', id=None)}
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp>
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2122, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<model_quantization_bits: int64, max_sequence_length: int64, params: int64, model_name: string>
to
{'model_quantization_bits': Value(dtype='int64', id=None), 'model_quantization_group_size': Value(dtype='int64', id=None), 'model_quantization_act_order': Value(dtype='string', id=None), 'model_quantization_damp': Value(dtype='float64', id=None), 'max_sequence_length': Value(dtype='int64', id=None), 'params': Value(dtype='int64', id=None), 'model_name': Value(dtype='string', id=None)}
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 1529, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1154, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
config
dict | results
dict |
|---|---|
{
"model_quantization_bits": 4,
"model_quantization_group_size": 32,
"model_quantization_act_order": "True",
"model_quantization_damp": 0.1,
"max_sequence_length": 4096,
"params": 70,
"model_name": "wanglab/ClinicalCamel-70B"
} | {
"Appendicitis": {
"acc": 0.966
},
"Cholecystitis": {
"acc": 0.724
},
"Diverticulitis": {
"acc": 0.553
},
"Pancreatitis": {
"acc": 0.682
}
} |
{
"model_quantization_bits": 4,
"model_quantization_group_size": 32,
"model_quantization_act_order": "True",
"model_quantization_damp": 0.1,
"max_sequence_length": 4096,
"params": 70,
"model_name": "TheBloke/Llama-2-70B-Chat-GPTQ"
} | {
"Appendicitis": {
"acc": 0.951
},
"Cholecystitis": {
"acc": 0.481
},
"Diverticulitis": {
"acc": 0.44
},
"Pancreatitis": {
"acc": 0.48
}
} |
{
"model_quantization_bits": 4,
"max_sequence_length": 128000,
"params": 70,
"model_name": "meta-llama/Meta-Llama-3.1-70B-Instruct"
} | {
"Appendicitis": {
"acc": 0.981
},
"Cholecystitis": {
"acc": 0.764
},
"Diverticulitis": {
"acc": 0.689
},
"Pancreatitis": {
"acc": 0.781
}
} |
{
"model_quantization_bits": 4,
"max_sequence_length": 8192,
"params": 70,
"model_name": "meta-llama/Meta-Llama-3-70B-Instruct"
} | {
"Appendicitis": {
"acc": 0.978
},
"Cholecystitis": {
"acc": 0.483
},
"Diverticulitis": {
"acc": 0.693
},
"Pancreatitis": {
"acc": 0.745
}
} |
{
"model_quantization_bits": 4,
"model_quantization_group_size": 32,
"model_quantization_act_order": "True",
"model_quantization_damp": 0.1,
"max_sequence_length": 4096,
"params": 70,
"model_name": "TheBloke/meditron-70B-GPTQ"
} | {
"Appendicitis": {
"acc": 0.967
},
"Cholecystitis": {
"acc": 0.194
},
"Diverticulitis": {
"acc": 0.447
},
"Pancreatitis": {
"acc": 0.749
}
} |
{
"model_quantization_bits": 4,
"model_quantization_group_size": 32,
"model_quantization_act_order": "True",
"model_quantization_damp": 0.1,
"max_sequence_length": 4096,
"params": 70,
"model_name": "TheBloke/Llama2-70B-OASST-SFT-v10-GPTQ"
} | {
"Appendicitis": {
"acc": 0.969
},
"Cholecystitis": {
"acc": 0.614
},
"Diverticulitis": {
"acc": 0.482
},
"Pancreatitis": {
"acc": 0.645
}
} |
{
"model_quantization_bits": 4,
"max_sequence_length": 8192,
"params": 70,
"model_name": "aaditya/Llama3-OpenBioLLM-70B "
} | {
"Appendicitis": {
"acc": 0.963
},
"Cholecystitis": {
"acc": 0.525
},
"Diverticulitis": {
"acc": 0.479
},
"Pancreatitis": {
"acc": 0.71
}
} |
{
"model_quantization_bits": 4,
"model_quantization_group_size": 32,
"model_quantization_act_order": "True",
"model_quantization_damp": 0.1,
"max_sequence_length": 4096,
"params": 70,
"model_name": "TheBloke/WizardLM-70B-V1.0-GPTQ"
} | {
"Appendicitis": {
"acc": 0.964
},
"Cholecystitis": {
"acc": 0.373
},
"Diverticulitis": {
"acc": 0.529
},
"Pancreatitis": {
"acc": 0.738
}
} |
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