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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 1 new columns ({'versions'}) This happened while the json dataset builder was generating data using hf://datasets/nan/results/demo-leaderboard/gpt2-demo/results_2023-11-22 15:46:20.425378.json (at revision 6de24a6e0dec1e3d65aab31a8177ee457f2e451b) 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 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 2256, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast results: struct<anli_r1: struct<acc: double, acc_stderr: double>, logiqa: struct<acc: double, acc_stderr: double, acc_norm: double, acc_norm_stderr: double>> child 0, anli_r1: struct<acc: double, acc_stderr: double> child 0, acc: double child 1, acc_stderr: double child 1, logiqa: struct<acc: double, acc_stderr: double, acc_norm: double, acc_norm_stderr: double> child 0, acc: double child 1, acc_stderr: double child 2, acc_norm: double child 3, acc_norm_stderr: double versions: struct<anli_r1: int64, logiqa: int64> child 0, anli_r1: int64 child 1, logiqa: int64 config: struct<model: string, model_args: string, num_fewshot: int64, batch_size: int64, batch_sizes: list<item: null>, device: string, no_cache: bool, limit: int64, bootstrap_iters: int64, description_dict: null, model_dtype: string, model_name: string, model_sha: string> child 0, model: string child 1, model_args: string child 2, num_fewshot: int64 child 3, batch_size: int64 child 4, batch_sizes: list<item: null> child 0, item: null child 5, device: string child 6, no_cache: bool child 7, limit: int64 child 8, bootstrap_iters: int64 child 9, description_dict: null child 10, model_dtype: string child 11, model_name: string child 12, model_sha: string to {'config': {'model_dtype': Value(dtype='string', id=None), 'model_name': Value(dtype='string', id=None), 'model_sha': Value(dtype='string', id=None)}, 'results': {'anli_r1': {'acc': Value(dtype='int64', id=None)}, 'logiqa': {'acc_norm': 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 1321, 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 935, 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 2013, 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 1 new columns ({'versions'}) This happened while the json dataset builder was generating data using hf://datasets/nan/results/demo-leaderboard/gpt2-demo/results_2023-11-22 15:46:20.425378.json (at revision 6de24a6e0dec1e3d65aab31a8177ee457f2e451b) 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)
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config
dict | results
dict | versions
dict |
---|---|---|
{
"model_dtype": "torch.float16",
"model_name": "demo-leaderboard/gpt2-demo",
"model_sha": "ac3299b02780836378b9e1e68c6eead546e89f90"
} | {
"anli_r1": {
"acc": 0
},
"logiqa": {
"acc_norm": 0.9
}
} | null |
{
"model": "hf-causal-experimental",
"model_args": "pretrained=demo-leaderboard/gpt2-demo,revision=main,dtype=bfloat16",
"num_fewshot": 0,
"batch_size": 1,
"batch_sizes": [],
"device": "cpu",
"no_cache": true,
"limit": 20,
"bootstrap_iters": 100000,
"description_dict": null,
"model_dtype": "bfloat16",
"model_name": "demo-leaderboard/gpt2-demo",
"model_sha": "main"
} | {
"anli_r1": {
"acc": 0.4,
"acc_stderr": 0.11239029738980327
},
"logiqa": {
"acc": 0.35,
"acc_stderr": 0.10942433098048308,
"acc_norm": 0.3,
"acc_norm_stderr": 0.10513149660756933
}
} | {
"anli_r1": 0,
"logiqa": 0
} |
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