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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 ({'model_type'}) and 2 missing columns ({'paper_name', 'paper_link'}). This happened while the json dataset builder was generating data using hf://datasets/anonymous-birder/Leaderboard-Requests/AST-XCL/AST-XCL_eval_request_float32_XCL_avg.json (at revision 09b1052597aff27f87464388b41a56f5b95d1bb7) 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 2013, 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 model_name: string model_link: string precision: string status: string submitted_time: timestamp[s] model_type: string training_dataset: string testing_type: string claimed_cmap: double claimed_auroc: double claimed_t1acc: double model_backbone: string model_parameters: double to {'model_name': Value(dtype='string', id=None), 'model_link': Value(dtype='string', id=None), 'model_backbone': Value(dtype='string', id=None), 'precision': Value(dtype='string', id=None), 'paper_name': Value(dtype='string', id=None), 'paper_link': Value(dtype='string', id=None), 'status': Value(dtype='string', id=None), 'submitted_time': Value(dtype='timestamp[s]', id=None), 'training_dataset': Value(dtype='string', id=None), 'testing_type': Value(dtype='string', id=None), 'claimed_cmap': Value(dtype='float64', id=None), 'claimed_auroc': Value(dtype='float64', id=None), 'claimed_t1acc': Value(dtype='float64', id=None), 'model_parameters': 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 1396, 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 1045, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, 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 1884, 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 2015, 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 ({'model_type'}) and 2 missing columns ({'paper_name', 'paper_link'}). This happened while the json dataset builder was generating data using hf://datasets/anonymous-birder/Leaderboard-Requests/AST-XCL/AST-XCL_eval_request_float32_XCL_avg.json (at revision 09b1052597aff27f87464388b41a56f5b95d1bb7) 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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model_name
string | model_link
string | model_backbone
string | precision
string | paper_name
string | paper_link
string | status
string | submitted_time
timestamp[us] | training_dataset
string | testing_type
string | claimed_cmap
float64 | claimed_auroc
float64 | claimed_t1acc
float64 | model_parameters
float64 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AST-Dedicated | None | AST | float32 | None | None | FINISHED | 2024-09-26T17:10:11 | Dedicated | avg | 0.29 | 0.83 | 0.48 | 86.5 |
AST-Dedicated | None | AST | float32 | None | None | FINISHED | 2024-09-26T17:10:57 | Dedicated | hsn | 0.3 | 0.83 | 0.46 | 86.5 |
AST-Dedicated | None | AST | float32 | None | None | FINISHED | 2024-09-26T17:11:15 | Dedicated | nbp | 0.59 | 0.91 | 0.63 | 86.5 |
AST-Dedicated | None | AST | float32 | None | None | FINISHED | 2024-09-26T17:10:32 | Dedicated | nes | 0.29 | 0.88 | 0.48 | 86.5 |
AST-Dedicated | None | AST | float32 | None | None | FINISHED | 2024-09-26T17:10:24 | Dedicated | per | 0.19 | 0.72 | 0.42 | 86.5 |
AST-Dedicated | None | AST | float32 | None | None | FINISHED | 2024-09-26T17:11:44 | Dedicated | sne | 0.24 | 0.81 | 0.53 | 86.5 |
AST-Dedicated | None | AST | float32 | None | None | FINISHED | 2024-09-26T17:11:32 | Dedicated | ssw | 0.3 | 0.9 | 0.5 | 86.5 |
AST-Dedicated | None | AST | float32 | None | None | FINISHED | 2024-09-26T17:10:45 | Dedicated | uhh | 0.15 | 0.78 | 0.31 | 86.5 |
AST-XCL | None | AST | float32 | null | null | FINISHED | 2024-09-25T16:11:48 | XCL | avg | 0.34 | 0.84 | 0.49 | 93.7 |
AST-XCL | None | AST | float32 | null | null | FINISHED | 2024-09-25T16:13:16 | XCL | hsn | 0.44 | 0.85 | 0.48 | 93.7 |
AST-XCL | None | AST | float32 | null | null | FINISHED | 2024-09-25T16:13:37 | XCL | nbp | 0.61 | 0.91 | 0.66 | 93.7 |
AST-XCL | None | AST | float32 | null | null | FINISHED | 2024-09-25T16:12:21 | XCL | nes | 0.32 | 0.89 | 0.48 | 93.7 |
AST-XCL | None | AST | float32 | null | null | FINISHED | 2024-09-25T16:12:05 | XCL | per | 0.18 | 0.72 | 0.4 | 93.7 |
AST-XCL | None | AST | float32 | null | null | FINISHED | 2024-09-25T16:14:15 | XCL | sne | 0.28 | 0.82 | 0.57 | 93.7 |
AST-XCL | None | AST | float32 | null | null | FINISHED | 2024-09-25T16:13:54 | XCL | ssw | 0.33 | 0.93 | 0.51 | 93.7 |
AST-XCL | None | AST | float32 | null | null | FINISHED | 2024-09-25T16:12:38 | XCL | uhh | 0.21 | 0.75 | 0.39 | 93.7 |
AST-XCM | None | AST | float32 | null | null | FINISHED | 2024-09-25T16:52:33 | XCM | avg | 0.31 | 0.83 | 0.49 | 86.5 |
AST-XCM | None | AST | float32 | null | null | FINISHED | 2024-09-25T16:53:56 | XCM | hsn | 0.38 | 0.84 | 0.48 | 86.5 |
AST-XCM | None | AST | float32 | null | null | FINISHED | 2024-09-25T16:54:08 | XCM | nbp | 0.61 | 0.91 | 0.66 | 86.5 |
AST-XCM | None | AST | float32 | null | null | FINISHED | 2024-09-25T16:53:17 | XCM | nes | 0.29 | 0.88 | 0.46 | 86.5 |
AST-XCM | None | AST | float32 | null | null | FINISHED | 2024-09-25T16:52:56 | XCM | per | 0.15 | 0.69 | 0.37 | 86.5 |
AST-XCM | None | AST | float32 | null | null | FINISHED | 2024-09-25T16:54:34 | XCM | sne | 0.26 | 0.82 | 0.59 | 86.5 |
AST-XCM | None | AST | float32 | null | null | FINISHED | 2024-09-25T16:54:22 | XCM | ssw | 0.3 | 0.9 | 0.57 | 86.5 |
AST-XCM | None | AST | float32 | null | null | FINISHED | 2024-09-25T16:53:38 | XCM | uhh | 0.19 | 0.78 | 0.33 | 86.5 |
ConvNeXT-Dedicated | None | ConvNeXT | float32 | None | None | FINISHED | 2024-09-26T17:08:27 | Dedicated | avg | 0.37 | 0.83 | 0.52 | 88 |
ConvNeXT-Dedicated | None | ConvNeXT | float32 | None | None | FINISHED | 2024-09-26T17:09:05 | Dedicated | hsn | 0.46 | 0.88 | 0.62 | 88 |
ConvNeXT-Dedicated | None | ConvNeXT | float32 | None | None | FINISHED | 2024-09-26T17:09:15 | Dedicated | nbp | 0.67 | 0.92 | 0.69 | 88 |
ConvNeXT-Dedicated | None | ConvNeXT | float32 | None | None | FINISHED | 2024-09-26T17:08:46 | Dedicated | nes | 0.32 | 0.86 | 0.45 | 88 |
ConvNeXT-Dedicated | None | ConvNeXT | float32 | None | None | FINISHED | 2024-09-26T17:08:37 | Dedicated | per | 0.21 | 0.73 | 0.44 | 88 |
ConvNeXT-Dedicated | None | ConvNeXT | float32 | None | None | FINISHED | 2024-09-26T17:09:33 | Dedicated | sne | 0.26 | 0.79 | 0.57 | 88 |
ConvNeXT-Dedicated | None | ConvNeXT | float32 | None | None | FINISHED | 2024-09-26T17:09:23 | Dedicated | ssw | 0.33 | 0.91 | 0.5 | 88 |
ConvNeXT-Dedicated | None | ConvNeXT | float32 | None | None | FINISHED | 2024-09-26T17:08:56 | Dedicated | uhh | 0.23 | 0.78 | 0.43 | 88 |
ConvNeXT-XCL | None | ConvNeXT | float32 | null | null | FINISHED | 2024-09-19T13:22:07 | LT | AVG | 0.36 | 0.85 | 0.51 | 97.5 |
ConvNeXT-XCL | None | ConvNeXT | float32 | null | null | FINISHED | 2024-09-25T13:21:50 | lt | hsn | 0.47 | 0.89 | 0.52 | 97.5 |
ConvNeXT-XCL | None | ConvNeXT | float32 | null | null | FINISHED | 2024-09-25T13:22:11 | lt | nbp | 0.62 | 0.92 | 0.64 | 97.5 |
ConvNeXT-XCL | None | ConvNeXT | float32 | null | null | FINISHED | 2024-09-25T13:20:32 | lt | nes | 0.34 | 0.88 | 0.45 | 97.5 |
ConvNeXT-XCL | None | ConvNeXT | float32 | null | null | FINISHED | 2024-09-25T13:20:02 | lt | per | 0.19 | 0.72 | 0.36 | 97.5 |
ConvNeXT-XCL | None | ConvNeXT | float32 | null | null | FINISHED | 2024-09-25T13:23:03 | lt | sne | 0.3 | 0.83 | 0.65 | 97.5 |
ConvNeXT-XCL | None | ConvNeXT | float32 | null | null | FINISHED | 2024-09-25T13:22:34 | lt | ssw | 0.35 | 0.93 | 0.53 | 97.5 |
ConvNeXT-XCL | None | ConvNeXT | float32 | null | null | FINISHED | 2024-09-25T13:21:09 | lt | uhh | 0.26 | 0.79 | 0.44 | 97.5 |
ConvNeXT-XCM | None | ConvNeXT | float32 | null | null | FINISHED | 2024-09-25T15:04:06 | XCM | avg | 0.36 | 0.84 | 0.57 | 88 |
ConvNeXT-XCM | None | ConvNeXT | float32 | null | null | FINISHED | 2024-09-25T15:54:18 | XCM | hsn | 0.47 | 0.86 | 0.46 | 88 |
ConvNeXT-XCM | None | ConvNeXT | float32 | null | null | FINISHED | 2024-09-25T15:54:56 | XCM | nbp | 0.64 | 0.91 | 0.66 | 88 |
ConvNeXT-XCM | None | ConvNeXT | float32 | null | null | FINISHED | 2024-09-25T15:53:36 | XCM | nes | 0.32 | 0.88 | 0.49 | 88 |
ConvNeXT-XCM | None | ConvNeXT | float32 | null | null | FINISHED | 2024-09-25T15:53:17 | XCM | per | 0.18 | 0.69 | 0.46 | 88 |
ConvNeXT-XCM | None | ConvNeXT | float32 | null | null | FINISHED | 2024-09-25T15:55:37 | XCM | sne | 0.28 | 0.82 | 0.68 | 88 |
ConvNeXT-XCM | None | ConvNeXT | float32 | null | null | FINISHED | 2024-09-25T15:55:11 | XCM | ssw | 0.36 | 0.92 | 0.6 | 88 |
ConvNeXT-XCM | None | ConvNeXT | float32 | null | null | FINISHED | 2024-09-25T15:54:00 | XCM | uhh | 0.24 | 0.79 | 0.41 | 88 |
EAT-Dedicated | None | EAT | Other | None | None | FINISHED | 2024-09-26T17:12:07 | Dedicated | avg | 0.33 | 0.78 | 0.47 | 0 |
EAT-Dedicated | None | EAT | Other | None | None | FINISHED | 2024-09-26T17:12:50 | Dedicated | hsn | 0.35 | 0.79 | 0.43 | 0 |
EAT-Dedicated | None | EAT | Other | None | None | FINISHED | 2024-09-26T17:12:59 | Dedicated | nbp | 0.57 | 0.88 | 0.65 | 0 |
EAT-Dedicated | None | EAT | Other | None | None | FINISHED | 2024-09-26T17:12:30 | Dedicated | nes | 0.29 | 0.84 | 0.45 | 0 |
EAT-Dedicated | None | EAT | Other | None | None | FINISHED | 2024-09-26T17:12:17 | Dedicated | per | 0.14 | 0.64 | 0.37 | 0 |
EAT-Dedicated | None | EAT | Other | None | None | FINISHED | 2024-09-26T17:13:22 | Dedicated | sne | 0.23 | 0.76 | 0.55 | 0 |
EAT-Dedicated | None | EAT | Other | None | None | FINISHED | 2024-09-26T17:13:12 | Dedicated | ssw | 0.27 | 0.85 | 0.48 | 0 |
EAT-Dedicated | None | EAT | Other | None | None | FINISHED | 2024-09-26T17:12:40 | Dedicated | uhh | 0.17 | 0.74 | 0.37 | 0 |
EAT-XCL | None | EAT | Other | None | None | FINISHED | 2024-09-26T16:20:07 | XCL | avg | 0.3 | 0.82 | 0.48 | 0 |
EAT-XCL | None | EAT | Other | None | None | FINISHED | 2024-09-26T16:21:05 | XCL | hsn | 0.38 | 0.86 | 0.47 | 0 |
EAT-XCL | None | EAT | Other | None | None | FINISHED | 2024-09-26T16:21:22 | XCL | nbp | 0.5 | 0.87 | 0.61 | 0 |
EAT-XCL | None | EAT | Other | None | None | FINISHED | 2024-09-26T16:20:35 | XCL | nes | 0.27 | 0.87 | 0.46 | 0 |
EAT-XCL | None | EAT | Other | None | None | FINISHED | 2024-09-26T16:20:25 | XCL | per | 0.12 | 0.64 | 0.32 | 0 |
EAT-XCL | None | EAT | Other | None | None | FINISHED | 2024-09-26T16:22:54 | XCL | sne | 0.24 | 0.82 | 0.58 | 0 |
EAT-XCL | None | EAT | Other | None | None | FINISHED | 2024-09-26T16:22:41 | XCL | ssw | 0.25 | 0.9 | 0.46 | 0 |
EAT-XCL | None | EAT | Other | None | None | FINISHED | 2024-09-26T16:20:50 | XCL | uhh | 0.22 | 0.76 | 0.4 | 0 |
EAT-XCM | None | EAT | Other | None | None | FINISHED | 2024-09-26T16:49:10 | XCM | avg | 0.29 | 0.8 | 0.48 | 0 |
EAT-XCM | None | EAT | Other | None | None | FINISHED | 2024-09-26T16:50:00 | XCM | hsn | 0.4 | 0.81 | 0.47 | 0 |
EAT-XCM | None | EAT | Other | None | None | FINISHED | 2024-09-26T16:50:11 | XCM | nbp | 0.54 | 0.87 | 0.63 | 0 |
EAT-XCM | None | EAT | Other | None | None | FINISHED | 2024-09-26T16:49:37 | XCM | nes | 0.28 | 0.87 | 0.43 | 0 |
EAT-XCM | None | EAT | Other | None | None | FINISHED | 2024-09-26T16:49:24 | XCM | per | 0.09 | 0.6 | 0.27 | 0 |
EAT-XCM | None | EAT | Other | None | None | FINISHED | 2024-09-26T16:50:36 | XCM | sne | 0.23 | 0.79 | 0.64 | 0 |
EAT-XCM | None | EAT | Other | None | None | FINISHED | 2024-09-26T16:50:21 | XCM | ssw | 0.27 | 0.86 | 0.56 | 0 |
EAT-XCM | None | EAT | Other | None | None | FINISHED | 2024-09-26T16:49:48 | XCM | uhh | 0.21 | 0.77 | 0.37 | 0 |
EfficientNet-B1-Dedicated | None | EfficientNet | float32 | None | None | FINISHED | 2024-09-26T17:05:06 | Dedicated | avg | 0.35 | 0.84 | 0.54 | 7.1 |
EfficientNet-B1-Dedicated | None | EfficientNet | float32 | None | None | FINISHED | 2024-09-26T17:06:12 | Dedicated | hsn | 0.44 | 0.85 | 0.59 | 7.1 |
EfficientNet-B1-Dedicated | None | EfficientNet | float32 | None | None | FINISHED | 2024-09-26T17:06:22 | Dedicated | nbp | 0.64 | 0.9 | 0.66 | 7.1 |
EfficientNet-B1-Dedicated | None | EfficientNet | float32 | None | None | FINISHED | 2024-09-26T17:05:52 | Dedicated | nes | 0.33 | 0.87 | 0.47 | 7.1 |
EfficientNet-B1-Dedicated | None | EfficientNet | float32 | None | None | FINISHED | 2024-09-26T17:05:41 | Dedicated | per | 0.19 | 0.72 | 0.4 | 7.1 |
EfficientNet-B1-Dedicated | None | EfficientNet | float32 | None | None | FINISHED | 2024-09-26T17:06:40 | Dedicated | sne | 0.28 | 0.81 | 0.65 | 7.1 |
EfficientNet-B1-Dedicated | None | EfficientNet | float32 | None | None | FINISHED | 2024-09-26T17:06:31 | Dedicated | ssw | 0.35 | 0.91 | 0.54 | 7.1 |
EfficientNet-B1-Dedicated | None | EfficientNet | float32 | None | None | FINISHED | 2024-09-26T17:06:03 | Dedicated | uhh | 0.24 | 0.8 | 0.46 | 7.1 |
EfficientNet-B1-XCL | None | EfficientNet | float32 | null | null | FINISHED | 2024-09-25T16:24:33 | XCL | avg | 0.32 | 0.84 | 0.53 | 19 |
EfficientNet-B1-XCL | None | EfficientNet | float32 | null | null | FINISHED | 2024-09-25T16:25:34 | XCL | hsn | 0.35 | 0.86 | 0.59 | 19 |
EfficientNet-B1-XCL | None | EfficientNet | float32 | null | null | FINISHED | 2024-09-25T16:25:49 | XCL | nbp | 0.57 | 0.9 | 0.63 | 19 |
EfficientNet-B1-XCL | None | EfficientNet | float32 | null | null | FINISHED | 2024-09-25T16:24:58 | XCL | nes | 0.3 | 0.88 | 0.49 | 19 |
EfficientNet-B1-XCL | None | EfficientNet | float32 | null | null | FINISHED | 2024-09-25T16:24:46 | XCL | per | 0.17 | 0.71 | 0.38 | 19 |
EfficientNet-B1-XCL | None | EfficientNet | float32 | null | null | FINISHED | 2024-09-25T16:26:12 | XCL | sne | 0.28 | 0.83 | 0.67 | 19 |
EfficientNet-B1-XCL | None | EfficientNet | float32 | null | null | FINISHED | 2024-09-25T16:26:01 | XCL | ssw | 0.33 | 0.91 | 0.55 | 19 |
EfficientNet-B1-XCL | None | EfficientNet | float32 | null | null | FINISHED | 2024-09-25T16:25:21 | XCL | uhh | 0.23 | 0.78 | 0.42 | 19 |
EfficientNet-B1-XCM | None | EfficientNet | float32 | null | null | FINISHED | 2024-09-25T16:55:38 | XCM | avg | 0.36 | 0.85 | 0.59 | 7.1 |
EfficientNet-B1-XCM | None | EfficientNet | float32 | null | null | FINISHED | 2024-09-25T16:56:23 | XCM | hsn | 0.48 | 0.88 | 0.59 | 7.1 |
EfficientNet-B1-XCM | None | EfficientNet | float32 | null | null | FINISHED | 2024-09-25T16:56:36 | XCM | nbp | 0.64 | 0.92 | 0.69 | 7.1 |
EfficientNet-B1-XCM | None | EfficientNet | float32 | null | null | FINISHED | 2024-09-25T16:56:00 | XCM | nes | 0.32 | 0.89 | 0.49 | 7.1 |
EfficientNet-B1-XCM | None | EfficientNet | float32 | null | null | FINISHED | 2024-09-25T16:55:49 | XCM | per | 0.18 | 0.7 | 0.42 | 7.1 |
EfficientNet-B1-XCM | None | EfficientNet | float32 | null | null | FINISHED | 2024-09-25T16:57:01 | XCM | sne | 0.3 | 0.83 | 0.72 | 7.1 |
EfficientNet-B1-XCM | None | EfficientNet | float32 | null | null | FINISHED | 2024-09-25T16:56:46 | XCM | ssw | 0.36 | 0.92 | 0.61 | 7.1 |
EfficientNet-B1-XCM | None | EfficientNet | float32 | null | null | FINISHED | 2024-09-25T16:56:10 | XCM | uhh | 0.26 | 0.8 | 0.44 | 7.1 |
Perch | https://www.kaggle.com/models/google/bird-vocalization-classifier | EfficientNet | Other | BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics | https://arxiv.org/abs/2312.07439 | FINISHED | 2024-09-26T15:40:00 | Xeno-Canto_(Custom) | avg | 0.36 | 0.84 | 0.61 | 0 |
Perch | https://www.kaggle.com/models/google/bird-vocalization-classifier | EfficentNet | Other | BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics | https://arxiv.org/abs/2312.07439 | FINISHED | 2024-09-26T16:13:16 | Xeno-Canto_(Custom) | hsn | 0.45 | 0.86 | 0.58 | 0 |
Perch | https://www.kaggle.com/models/google/bird-vocalization-classifier | EfficentNet | Other | BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics | https://arxiv.org/abs/2312.07439 | FINISHED | 2024-09-26T16:13:30 | Xeno-Canto_(Custom) | nbp | 0.63 | 0.91 | 0.69 | 0 |
Perch | https://www.kaggle.com/models/google/bird-vocalization-classifier | EfficentNet | Other | BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics | https://arxiv.org/abs/2312.07439 | FINISHED | 2024-09-26T16:12:51 | Xeno-Canto_(Custom) | nes | 0.39 | 0.9 | 0.66 | 0 |
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