Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
frame: string
detections: list<item: struct<file: string, conf: double, head_box: list<item: double>, crop_box: list<item: int (... 5 chars omitted)
child 0, item: struct<file: string, conf: double, head_box: list<item: double>, crop_box: list<item: int64>>
child 0, file: string
child 1, conf: double
child 2, head_box: list<item: double>
child 0, item: double
child 3, crop_box: list<item: int64>
child 0, item: int64
lora_decompose_norm_epsilon: bool
lora_alpha: double
save_filename_prefix: string
min_noising_strength: double
learning_rate_cycles: double
prior: struct<__version: int64, model_name: string, include: bool, train: bool, stop_training_after: int64, (... 175 chars omitted)
child 0, __version: int64
child 1, model_name: string
child 2, include: bool
child 3, train: bool
child 4, stop_training_after: int64
child 5, stop_training_after_unit: string
child 6, learning_rate: null
child 7, weight_dtype: string
child 8, dropout_probability: double
child 9, train_embedding: bool
child 10, attention_mask: bool
child 11, guidance_scale: double
ema_update_step_interval: int64
output_dtype: string
training_method: string
perturbation_noise_weight: double
base_model_name: string
decoder: struct<__version: int64, model_name: string, include: bool, train: bool, stop_training_after: null, (... 174 chars omitted)
child 0, __version: int64
child 1, model_name: string
child 2, include: bool
child 3, train: b
...
child 13, onetrainer_dir: string
child 14, install_cmd: string
child 15, install_onetrainer: bool
child 16, update_onetrainer: bool
child 17, detach_trainer: bool
child 18, run_id: string
child 19, download_samples: bool
child 20, download_output_model: bool
child 21, download_saves: bool
child 22, download_backups: bool
child 23, download_tensorboard: bool
child 24, delete_workspace: bool
child 25, on_finish: string
child 26, on_error: string
child 27, on_detached_finish: string
child 28, on_detached_error: string
save_every: int64
noising_weight: double
aspect_ratio_bucketing: bool
text_encoder: struct<__version: int64, model_name: string, include: bool, train: bool, stop_training_after: int64, (... 177 chars omitted)
child 0, __version: int64
child 1, model_name: string
child 2, include: bool
child 3, train: bool
child 4, stop_training_after: int64
child 5, stop_training_after_unit: string
child 6, learning_rate: double
child 7, weight_dtype: string
child 8, dropout_probability: double
child 9, train_embedding: bool
child 10, attention_mask: bool
child 11, guidance_scale: double
sample_after_unit: string
enable_activation_offloading: bool
validate_after: int64
clip_grad_norm: double
rescale_noise_scheduler_to_zero_terminal_snr: bool
frames: string
train_dtype: string
generalized_offset_noise: bool
save_every_unit: string
__version: int64
dropout_probability: double
noising_bias: double
clear_cache_before_training: bool
to
{'__version': Value('int64'), 'training_method': Value('string'), 'model_type': Value('string'), 'debug_mode': Value('bool'), 'debug_dir': Value('string'), 'workspace_dir': Value('string'), 'cache_dir': Value('string'), 'tensorboard': Value('bool'), 'tensorboard_expose': Value('bool'), 'tensorboard_always_on': Value('bool'), 'tensorboard_port': Value('int64'), 'validation': Value('bool'), 'validate_after': Value('int64'), 'validate_after_unit': Value('string'), 'continue_last_backup': Value('bool'), 'prevent_overwrites': Value('bool'), 'include_train_config': Value('string'), 'multi_gpu': Value('bool'), 'device_indexes': Value('string'), 'gradient_reduce_precision': Value('string'), 'fused_gradient_reduce': Value('bool'), 'async_gradient_reduce': Value('bool'), 'async_gradient_reduce_buffer': Value('int64'), 'base_model_name': Value('string'), 'output_dtype': Value('string'), 'output_model_format': Value('string'), 'output_model_destination': Value('string'), 'gradient_checkpointing': Value('string'), 'enable_async_offloading': Value('bool'), 'enable_activation_offloading': Value('bool'), 'layer_offload_fraction': Value('float64'), 'force_circular_padding': Value('bool'), 'compile': Value('bool'), 'concept_file_name': Value('string'), 'concepts': Value('null'), 'aspect_ratio_bucketing': Value('bool'), 'latent_caching': Value('bool'), 'clear_cache_before_training': Value('bool'), 'learning_rate_scheduler': Value('string'), 'custom_learning_rate_scheduler': Value('null'), 'sche
...
Value('null'), 'alpha_grad': Value('null'), 'beta1_warmup': Value('null'), 'min_beta1': Value('null'), 'Simplified_AdEMAMix': Value('bool'), 'kourkoutas_beta': Value('bool'), 'schedulefree_c': Value('null'), 'ns_steps': Value('null'), 'MuonWithAuxAdam': Value('bool'), 'muon_hidden_layers': Value('null'), 'muon_adam_regex': Value('bool'), 'muon_adam_lr': Value('null'), 'muon_te1_adam_lr': Value('null'), 'muon_te2_adam_lr': Value('null'), 'muon_adam_config': {}, 'rms_rescaling': Value('bool'), 'normuon_variant': Value('bool'), 'beta2_normuon': Value('null'), 'low_rank_ortho': Value('bool'), 'ortho_rank': Value('null'), 'accelerated_ns': Value('bool'), 'cautious_wd': Value('bool'), 'approx_mars': Value('bool'), 'auto_kappa_p': Value('bool'), 'compile': Value('bool')}, 'optimizer_defaults': {}, 'sample_definition_file_name': Value('string'), 'samples': Value('null'), 'sample_after': Value('int64'), 'sample_after_unit': Value('string'), 'sample_skip_first': Value('int64'), 'sample_image_format': Value('string'), 'sample_video_format': Value('string'), 'sample_audio_format': Value('string'), 'samples_to_tensorboard': Value('bool'), 'non_ema_sampling': Value('bool'), 'backup_after': Value('int64'), 'backup_after_unit': Value('string'), 'rolling_backup': Value('bool'), 'rolling_backup_count': Value('int64'), 'backup_before_save': Value('bool'), 'save_every': Value('int64'), 'save_every_unit': Value('string'), 'save_skip_first': Value('int64'), 'save_filename_prefix': Value('string')}
because column names don't match
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 299, 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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
frame: string
detections: list<item: struct<file: string, conf: double, head_box: list<item: double>, crop_box: list<item: int (... 5 chars omitted)
child 0, item: struct<file: string, conf: double, head_box: list<item: double>, crop_box: list<item: int64>>
child 0, file: string
child 1, conf: double
child 2, head_box: list<item: double>
child 0, item: double
child 3, crop_box: list<item: int64>
child 0, item: int64
lora_decompose_norm_epsilon: bool
lora_alpha: double
save_filename_prefix: string
min_noising_strength: double
learning_rate_cycles: double
prior: struct<__version: int64, model_name: string, include: bool, train: bool, stop_training_after: int64, (... 175 chars omitted)
child 0, __version: int64
child 1, model_name: string
child 2, include: bool
child 3, train: bool
child 4, stop_training_after: int64
child 5, stop_training_after_unit: string
child 6, learning_rate: null
child 7, weight_dtype: string
child 8, dropout_probability: double
child 9, train_embedding: bool
child 10, attention_mask: bool
child 11, guidance_scale: double
ema_update_step_interval: int64
output_dtype: string
training_method: string
perturbation_noise_weight: double
base_model_name: string
decoder: struct<__version: int64, model_name: string, include: bool, train: bool, stop_training_after: null, (... 174 chars omitted)
child 0, __version: int64
child 1, model_name: string
child 2, include: bool
child 3, train: b
...
child 13, onetrainer_dir: string
child 14, install_cmd: string
child 15, install_onetrainer: bool
child 16, update_onetrainer: bool
child 17, detach_trainer: bool
child 18, run_id: string
child 19, download_samples: bool
child 20, download_output_model: bool
child 21, download_saves: bool
child 22, download_backups: bool
child 23, download_tensorboard: bool
child 24, delete_workspace: bool
child 25, on_finish: string
child 26, on_error: string
child 27, on_detached_finish: string
child 28, on_detached_error: string
save_every: int64
noising_weight: double
aspect_ratio_bucketing: bool
text_encoder: struct<__version: int64, model_name: string, include: bool, train: bool, stop_training_after: int64, (... 177 chars omitted)
child 0, __version: int64
child 1, model_name: string
child 2, include: bool
child 3, train: bool
child 4, stop_training_after: int64
child 5, stop_training_after_unit: string
child 6, learning_rate: double
child 7, weight_dtype: string
child 8, dropout_probability: double
child 9, train_embedding: bool
child 10, attention_mask: bool
child 11, guidance_scale: double
sample_after_unit: string
enable_activation_offloading: bool
validate_after: int64
clip_grad_norm: double
rescale_noise_scheduler_to_zero_terminal_snr: bool
frames: string
train_dtype: string
generalized_offset_noise: bool
save_every_unit: string
__version: int64
dropout_probability: double
noising_bias: double
clear_cache_before_training: bool
to
{'__version': Value('int64'), 'training_method': Value('string'), 'model_type': Value('string'), 'debug_mode': Value('bool'), 'debug_dir': Value('string'), 'workspace_dir': Value('string'), 'cache_dir': Value('string'), 'tensorboard': Value('bool'), 'tensorboard_expose': Value('bool'), 'tensorboard_always_on': Value('bool'), 'tensorboard_port': Value('int64'), 'validation': Value('bool'), 'validate_after': Value('int64'), 'validate_after_unit': Value('string'), 'continue_last_backup': Value('bool'), 'prevent_overwrites': Value('bool'), 'include_train_config': Value('string'), 'multi_gpu': Value('bool'), 'device_indexes': Value('string'), 'gradient_reduce_precision': Value('string'), 'fused_gradient_reduce': Value('bool'), 'async_gradient_reduce': Value('bool'), 'async_gradient_reduce_buffer': Value('int64'), 'base_model_name': Value('string'), 'output_dtype': Value('string'), 'output_model_format': Value('string'), 'output_model_destination': Value('string'), 'gradient_checkpointing': Value('string'), 'enable_async_offloading': Value('bool'), 'enable_activation_offloading': Value('bool'), 'layer_offload_fraction': Value('float64'), 'force_circular_padding': Value('bool'), 'compile': Value('bool'), 'concept_file_name': Value('string'), 'concepts': Value('null'), 'aspect_ratio_bucketing': Value('bool'), 'latent_caching': Value('bool'), 'clear_cache_before_training': Value('bool'), 'learning_rate_scheduler': Value('string'), 'custom_learning_rate_scheduler': Value('null'), 'sche
...
Value('null'), 'alpha_grad': Value('null'), 'beta1_warmup': Value('null'), 'min_beta1': Value('null'), 'Simplified_AdEMAMix': Value('bool'), 'kourkoutas_beta': Value('bool'), 'schedulefree_c': Value('null'), 'ns_steps': Value('null'), 'MuonWithAuxAdam': Value('bool'), 'muon_hidden_layers': Value('null'), 'muon_adam_regex': Value('bool'), 'muon_adam_lr': Value('null'), 'muon_te1_adam_lr': Value('null'), 'muon_te2_adam_lr': Value('null'), 'muon_adam_config': {}, 'rms_rescaling': Value('bool'), 'normuon_variant': Value('bool'), 'beta2_normuon': Value('null'), 'low_rank_ortho': Value('bool'), 'ortho_rank': Value('null'), 'accelerated_ns': Value('bool'), 'cautious_wd': Value('bool'), 'approx_mars': Value('bool'), 'auto_kappa_p': Value('bool'), 'compile': Value('bool')}, 'optimizer_defaults': {}, 'sample_definition_file_name': Value('string'), 'samples': Value('null'), 'sample_after': Value('int64'), 'sample_after_unit': Value('string'), 'sample_skip_first': Value('int64'), 'sample_image_format': Value('string'), 'sample_video_format': Value('string'), 'sample_audio_format': Value('string'), 'samples_to_tensorboard': Value('bool'), 'non_ema_sampling': Value('bool'), 'backup_after': Value('int64'), 'backup_after_unit': Value('string'), 'rolling_backup': Value('bool'), 'rolling_backup_count': Value('int64'), 'backup_before_save': Value('bool'), 'save_every': Value('int64'), 'save_every_unit': Value('string'), 'save_skip_first': Value('int64'), 'save_filename_prefix': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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