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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<array_job_id: string, array_task_count: string, array_task_id: string, array_task_max: string, array_task_min: string, array_task_step: string, cluster_name: string, conf: string, cpus_on_node: string, cpus_per_task: string, gpus_on_node: string, gtids: string, job_account: string, job_cpus_per_node: string, job_end_time: string, job_gid: string, job_gpus: string, job_id: string, job_name: string, job_nodelist: string, job_num_nodes: string, job_partition: string, job_qos: string, job_start_time: string, job_uid: string, job_user: string, jobid: string, localid: string, mem_per_cpu: string, nnodes: string, nodeid: string, nodelist: string, nprocs: string, ntasks: string, oom_kill_step: string, prio_process: string, procid: string, script_context: string, submit_dir: string, submit_host: string, task_pid: string, tasks_per_node: string, topology_addr: string, topology_addr_pattern: string, tres_per_task: string>
to
{'cluster_name': Value('string'), 'conf': Value('string'), 'cpus_on_node': Value('string'), 'cpus_per_task': Value('string'), 'gpus_on_node': Value('string'), 'gtids': Value('string'), 'job_account': Value('string'), 'job_cpus_per_node': Value('string'), 'job_end_time': Value('string'), 'job_gid': Value('string'), 'job_gpus': Value('string'), 'job_id': Value('string'), 'job_name': Value('string'), 'job_nodelist': Value('string'), 'job_num_nodes': Value('string'), 'job_partition': Value('string'), 'job_qos': Value('string'), 'job_start_time': Value('string'), 'job_uid': Value('string'), 'job_user': Value('string'), 'jobid': Value('string'), 'localid': Value('string'), 'mem_per_cpu': Value('string'), 'nnodes': Value('string'), 'nodeid': Value('string'), 'nodelist': Value('string'), 'nprocs': Value('string'), 'ntasks': Value('string'), 'oom_kill_step': Value('string'), 'prio_process': Value('string'), 'procid': Value('string'), 'script_context': Value('string'), 'submit_dir': Value('string'), 'submit_host': Value('string'), 'task_pid': Value('string'), 'tasks_per_node': Value('string'), 'topology_addr': Value('string'), 'topology_addr_pattern': Value('string'), 'tres_per_task': Value('string')}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2233, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2101, 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<array_job_id: string, array_task_count: string, array_task_id: string, array_task_max: string, array_task_min: string, array_task_step: string, cluster_name: string, conf: string, cpus_on_node: string, cpus_per_task: string, gpus_on_node: string, gtids: string, job_account: string, job_cpus_per_node: string, job_end_time: string, job_gid: string, job_gpus: string, job_id: string, job_name: string, job_nodelist: string, job_num_nodes: string, job_partition: string, job_qos: string, job_start_time: string, job_uid: string, job_user: string, jobid: string, localid: string, mem_per_cpu: string, nnodes: string, nodeid: string, nodelist: string, nprocs: string, ntasks: string, oom_kill_step: string, prio_process: string, procid: string, script_context: string, submit_dir: string, submit_host: string, task_pid: string, tasks_per_node: string, topology_addr: string, topology_addr_pattern: string, tres_per_task: string>
              to
              {'cluster_name': Value('string'), 'conf': Value('string'), 'cpus_on_node': Value('string'), 'cpus_per_task': Value('string'), 'gpus_on_node': Value('string'), 'gtids': Value('string'), 'job_account': Value('string'), 'job_cpus_per_node': Value('string'), 'job_end_time': Value('string'), 'job_gid': Value('string'), 'job_gpus': Value('string'), 'job_id': Value('string'), 'job_name': Value('string'), 'job_nodelist': Value('string'), 'job_num_nodes': Value('string'), 'job_partition': Value('string'), 'job_qos': Value('string'), 'job_start_time': Value('string'), 'job_uid': Value('string'), 'job_user': Value('string'), 'jobid': Value('string'), 'localid': Value('string'), 'mem_per_cpu': Value('string'), 'nnodes': Value('string'), 'nodeid': Value('string'), 'nodelist': Value('string'), 'nprocs': Value('string'), 'ntasks': Value('string'), 'oom_kill_step': Value('string'), 'prio_process': Value('string'), 'procid': Value('string'), 'script_context': Value('string'), 'submit_dir': Value('string'), 'submit_host': Value('string'), 'task_pid': Value('string'), 'tasks_per_node': Value('string'), 'topology_addr': Value('string'), 'topology_addr_pattern': Value('string'), 'tres_per_task': Value('string')}

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Dose-Response W&B Training Logs

Weights & Biases local run logs from the dose-response experiment training runs. Contains training metrics, loss curves, and hyperparameter configs for all conditions.

To browse: upload to your W&B account with wandb sync <run-dir>.

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