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The dataset generation failed because of a cast error
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 6 new columns ({'adapter_spec', 'scenario_spec', 'data_augmenter_spec', 'metric_specs', 'groups', 'name'}) and 3 missing columns ({'stats', 'train_trial_index', 'instance_id'}).
This happened while the json dataset builder was generating data using
hf://datasets/SAA-Lab/open_model_benchmark_output/runs/asr-french-suite/ultra_suite_asr_classification:model=SAA-Lab_Qwen2-Audio-7B-Instruct-Ultrasuite-woA/run_spec.json (at revision fe40afdd3673100b3dfc3c469c2f09b1a357df66)
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, 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 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
name: string
scenario_spec: struct<class_name: string, args: struct<dataset_name: string>>
child 0, class_name: string
child 1, args: struct<dataset_name: string>
child 0, dataset_name: string
adapter_spec: struct<method: string, global_prefix: string, global_suffix: string, instructions: string, input_prefix: string, input_suffix: string, reference_prefix: string, reference_suffix: string, chain_of_thought_prefix: string, chain_of_thought_suffix: string, output_prefix: string, output_suffix: string, instance_prefix: string, substitutions: list<item: null>, max_train_instances: int64, max_eval_instances: int64, num_outputs: int64, num_train_trials: int64, num_trials: int64, sample_train: bool, model_deployment: string, model: string, temperature: double, max_tokens: int64, stop_sequences: list<item: null>, multi_label: bool>
child 0, method: string
child 1, global_prefix: string
child 2, global_suffix: string
child 3, instructions: string
child 4, input_prefix: string
child 5, input_suffix: string
child 6, reference_prefix: string
child 7, reference_suffix: string
child 8, chain_of_thought_prefix: string
child 9, chain_of_thought_suffix: string
child 10, output_prefix: string
child 11, output_suffix: string
child 12, instance_prefix: string
child 13, substitutions: list<item: null>
child 0, item: null
child 14, max_train_instances: int64
child 15, max_eval_instances: int64
child 16, num_outputs: int64
child 17, num_train_trials: int64
child 18, num_trials: int64
child 19, sample_train: bool
child 20, model_deployment: string
child 21, model: string
child 22, temperature: double
child 23, max_tokens: int64
child 24, stop_sequences: list<item: null>
child 0, item: null
child 25, multi_label: bool
metric_specs: list<item: struct<class_name: string, args: struct<names: list<item: string>>>>
child 0, item: struct<class_name: string, args: struct<names: list<item: string>>>
child 0, class_name: string
child 1, args: struct<names: list<item: string>>
child 0, names: list<item: string>
child 0, item: string
data_augmenter_spec: struct<perturbation_specs: list<item: null>, should_augment_train_instances: bool, should_include_original_train: bool, should_skip_unchanged_train: bool, should_augment_eval_instances: bool, should_include_original_eval: bool, should_skip_unchanged_eval: bool, seeds_per_instance: int64>
child 0, perturbation_specs: list<item: null>
child 0, item: null
child 1, should_augment_train_instances: bool
child 2, should_include_original_train: bool
child 3, should_skip_unchanged_train: bool
child 4, should_augment_eval_instances: bool
child 5, should_include_original_eval: bool
child 6, should_skip_unchanged_eval: bool
child 7, seeds_per_instance: int64
groups: list<item: string>
child 0, item: string
to
{'instance_id': Value(dtype='string', id=None), 'train_trial_index': Value(dtype='int64', id=None), 'stats': [{'count': Value(dtype='int64', id=None), 'max': Value(dtype='float64', id=None), 'mean': Value(dtype='float64', id=None), 'min': Value(dtype='float64', id=None), 'name': {'name': Value(dtype='string', id=None), 'split': Value(dtype='string', id=None)}, 'stddev': Value(dtype='float64', id=None), 'sum': Value(dtype='float64', id=None), 'sum_squared': Value(dtype='float64', id=None), 'variance': Value(dtype='float64', id=None)}]}
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 1433, 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 1050, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 6 new columns ({'adapter_spec', 'scenario_spec', 'data_augmenter_spec', 'metric_specs', 'groups', 'name'}) and 3 missing columns ({'stats', 'train_trial_index', 'instance_id'}).
This happened while the json dataset builder was generating data using
hf://datasets/SAA-Lab/open_model_benchmark_output/runs/asr-french-suite/ultra_suite_asr_classification:model=SAA-Lab_Qwen2-Audio-7B-Instruct-Ultrasuite-woA/run_spec.json (at revision fe40afdd3673100b3dfc3c469c2f09b1a357df66)
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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
instance_id
string | train_trial_index
int64 | stats
list |
|---|---|---|
id0 | 0 | [
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "num_references",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "num_train_trials",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 105,
"mean": 105,
"min": 105,
"name": {
"name": "num_prompt_tokens",
"split": "test"
},
"stddev": 0,
"sum": 105,
"sum_squared": 11025,
"variance": 0
},
{
"count": 1,
"max": 10,
"mean": 10,
"min": 10,
"name": {
"name": "num_completion_tokens",
"split": "test"
},
"stddev": 0,
"sum": 10,
"sum_squared": 100,
"variance": 0
},
{
"count": 1,
"max": 10,
"mean": 10,
"min": 10,
"name": {
"name": "num_output_tokens",
"split": "test"
},
"stddev": 0,
"sum": 10,
"sum_squared": 100,
"variance": 0
},
{
"count": 0,
"max": null,
"mean": null,
"min": null,
"name": {
"name": "training_co2_cost",
"split": "test"
},
"stddev": null,
"sum": 0,
"sum_squared": 0,
"variance": null
},
{
"count": 0,
"max": null,
"mean": null,
"min": null,
"name": {
"name": "training_energy_cost",
"split": "test"
},
"stddev": null,
"sum": 0,
"sum_squared": 0,
"variance": null
},
{
"count": 1,
"max": 9.670626163482666,
"mean": 9.670626163482666,
"min": 9.670626163482666,
"name": {
"name": "inference_runtime",
"split": "test"
},
"stddev": 0,
"sum": 9.670626163482666,
"sum_squared": 93.52101039383547,
"variance": 0
},
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "batch_size",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "finish_reason_length",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "finish_reason_stop",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "finish_reason_endoftext",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "finish_reason_unknown",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "num_train_instances",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "prompt_truncated",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "max_prob",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "exact_match",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "quasi_exact_match",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "logprob",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 10,
"mean": 10,
"min": 10,
"name": {
"name": "num_perplexity_tokens",
"split": "test"
},
"stddev": 0,
"sum": 10,
"sum_squared": 100,
"variance": 0
},
{
"count": 1,
"max": 35,
"mean": 35,
"min": 35,
"name": {
"name": "num_bytes",
"split": "test"
},
"stddev": 0,
"sum": 35,
"sum_squared": 1225,
"variance": 0
}
] |
id1 | 0 | [
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "num_references",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "num_train_trials",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 105,
"mean": 105,
"min": 105,
"name": {
"name": "num_prompt_tokens",
"split": "test"
},
"stddev": 0,
"sum": 105,
"sum_squared": 11025,
"variance": 0
},
{
"count": 1,
"max": 9,
"mean": 9,
"min": 9,
"name": {
"name": "num_completion_tokens",
"split": "test"
},
"stddev": 0,
"sum": 9,
"sum_squared": 81,
"variance": 0
},
{
"count": 1,
"max": 9,
"mean": 9,
"min": 9,
"name": {
"name": "num_output_tokens",
"split": "test"
},
"stddev": 0,
"sum": 9,
"sum_squared": 81,
"variance": 0
},
{
"count": 0,
"max": null,
"mean": null,
"min": null,
"name": {
"name": "training_co2_cost",
"split": "test"
},
"stddev": null,
"sum": 0,
"sum_squared": 0,
"variance": null
},
{
"count": 0,
"max": null,
"mean": null,
"min": null,
"name": {
"name": "training_energy_cost",
"split": "test"
},
"stddev": null,
"sum": 0,
"sum_squared": 0,
"variance": null
},
{
"count": 1,
"max": 9.027929067611694,
"mean": 9.027929067611694,
"min": 9.027929067611694,
"name": {
"name": "inference_runtime",
"split": "test"
},
"stddev": 0,
"sum": 9.027929067611694,
"sum_squared": 81.50350324982816,
"variance": 0
},
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "batch_size",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "finish_reason_length",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "finish_reason_stop",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "finish_reason_endoftext",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "finish_reason_unknown",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "num_train_instances",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "prompt_truncated",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "max_prob",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "exact_match",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "quasi_exact_match",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "logprob",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 9,
"mean": 9,
"min": 9,
"name": {
"name": "num_perplexity_tokens",
"split": "test"
},
"stddev": 0,
"sum": 9,
"sum_squared": 81,
"variance": 0
},
{
"count": 1,
"max": 48,
"mean": 48,
"min": 48,
"name": {
"name": "num_bytes",
"split": "test"
},
"stddev": 0,
"sum": 48,
"sum_squared": 2304,
"variance": 0
}
] |
id2 | 0 | [
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "num_references",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "num_train_trials",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 105,
"mean": 105,
"min": 105,
"name": {
"name": "num_prompt_tokens",
"split": "test"
},
"stddev": 0,
"sum": 105,
"sum_squared": 11025,
"variance": 0
},
{
"count": 1,
"max": 4,
"mean": 4,
"min": 4,
"name": {
"name": "num_completion_tokens",
"split": "test"
},
"stddev": 0,
"sum": 4,
"sum_squared": 16,
"variance": 0
},
{
"count": 1,
"max": 4,
"mean": 4,
"min": 4,
"name": {
"name": "num_output_tokens",
"split": "test"
},
"stddev": 0,
"sum": 4,
"sum_squared": 16,
"variance": 0
},
{
"count": 0,
"max": null,
"mean": null,
"min": null,
"name": {
"name": "training_co2_cost",
"split": "test"
},
"stddev": null,
"sum": 0,
"sum_squared": 0,
"variance": null
},
{
"count": 0,
"max": null,
"mean": null,
"min": null,
"name": {
"name": "training_energy_cost",
"split": "test"
},
"stddev": null,
"sum": 0,
"sum_squared": 0,
"variance": null
},
{
"count": 1,
"max": 8.124659776687622,
"mean": 8.124659776687622,
"min": 8.124659776687622,
"name": {
"name": "inference_runtime",
"split": "test"
},
"stddev": 0,
"sum": 8.124659776687622,
"sum_squared": 66.01009648692576,
"variance": 0
},
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "batch_size",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "finish_reason_length",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "finish_reason_stop",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "finish_reason_endoftext",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "finish_reason_unknown",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "num_train_instances",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "prompt_truncated",
"split": "test"
},
"stddev": 0,
"sum": 0,
"sum_squared": 0,
"variance": 0
},
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "max_prob",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "exact_match",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 1,
"mean": 1,
"min": 1,
"name": {
"name": "quasi_exact_match",
"split": "test"
},
"stddev": 0,
"sum": 1,
"sum_squared": 1,
"variance": 0
},
{
"count": 1,
"max": 0,
"mean": 0,
"min": 0,
"name": {
"name": "logprob",
"split": "test"
},
"stddev": 0,
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