Datasets:

---

Sybilhhhhh

/

1qna

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
metadata: struct<total_size: int64>
  child 0, total_size: int64
weight_map: struct<model.language_model.embed_tokens.weight: string, model.visual.patch_embed.proj.weight: strin (... 43207 chars omitted)
  child 0, model.language_model.embed_tokens.weight: string
  child 1, model.visual.patch_embed.proj.weight: string
  child 2, model.visual.patch_embed.proj.bias: string
  child 3, model.visual.pos_embed.weight: string
  child 4, model.visual.blocks.0.norm1.weight: string
  child 5, model.visual.blocks.0.norm1.bias: string
  child 6, model.visual.blocks.0.norm2.weight: string
  child 7, model.visual.blocks.0.norm2.bias: string
  child 8, model.visual.blocks.0.attn.qkv.weight: string
  child 9, model.visual.blocks.0.attn.qkv.bias: string
  child 10, model.visual.blocks.0.attn.proj.weight: string
  child 11, model.visual.blocks.0.attn.proj.bias: string
  child 12, model.visual.blocks.0.mlp.linear_fc1.weight: string
  child 13, model.visual.blocks.0.mlp.linear_fc1.bias: string
  child 14, model.visual.blocks.0.mlp.linear_fc2.weight: string
  child 15, model.visual.blocks.0.mlp.linear_fc2.bias: string
  child 16, model.visual.blocks.1.norm1.weight: string
  child 17, model.visual.blocks.1.norm1.bias: string
  child 18, model.visual.blocks.1.norm2.weight: string
  child 19, model.visual.blocks.1.norm2.bias: string
  child 20, model.visual.blocks.1.attn.qkv.weight: string
  child 21, model.visual.blocks.1.attn.qkv.bias: string
  child 22, model.visual.blocks.1.attn.proj.weight: str
...
t_num_proc: int64
local_repo_path: null
num_beams: int64
desirable_weight: double
swanlab_project: string
load_args: bool
system: null
quant_method: null
bnb_4bit_compute_dtype: string
custom_register_path: list<item: null>
  child 0, item: null
sync_ref_model: bool
lr_warmup_iters: int64
vit_attn_impl: null
max_resample_times: int64
rlhf_type: null
scale_rewards: string
muon_tp_mode: string
moe_grouped_gemm: bool
world_size: int64
no_load_optim: bool
freeze_vit: bool
model_author: list<item: string>
  child 0, item: string
account_for_embedding_in_pipeline_split: bool
fp8_recipe: string
weight_decay_incr_style: string
lora_dtype: null
metric_for_best_model: string
use_hf: bool
teacher_model_revision: null
tensorboard_dir: string
fp8_amax_history_len: int64
beta: null
cross_entropy_loss_fusion: bool
virtual_pipeline_model_parallel_size: null
wandb_exp_name: null
apply_query_key_layer_scaling: bool
vllm_tensor_parallel_size: int64
teacher_model_type: null
hub_token: null
cosine_max_len_value_correct: double
params_dtype: string
ref_model: null
freeze_aligner: bool
data_parallel_random_init: bool
target_regex: null
center_rewards_coefficient: null
max_completion_length: int64
recompute_method: string
eval_steps: int64
completion_length_limit_scope: string
micro_batch_size: int64
torch_dtype: string
muon_extra_scale_factor: double
sequence_parallel: bool
padding_side: string
lr_warmup_fraction: double
truncation_strategy: string
num_microbatches: int64
steps_per_generation: null
to
{'use_ray': Value('bool'), 'ray_exp_name': Value('null'), 'device_groups': Value('null'), 'model': Value('string'), 'model_type': Value('string'), 'model_revision': Value('null'), 'task_type': Value('string'), 'torch_dtype': Value('string'), 'attn_impl': Value('null'), 'experts_impl': Value('null'), 'new_special_tokens': List(Value('null')), 'num_labels': Value('null'), 'problem_type': Value('null'), 'rope_scaling': Value('null'), 'device_map': Value('null'), 'max_memory': {}, 'max_model_len': Value('null'), 'local_repo_path': Value('null'), 'init_strategy': Value('null'), 'template': Value('string'), 'system': Value('null'), 'max_length': Value('int64'), 'truncation_strategy': Value('string'), 'max_pixels': Value('null'), 'agent_template': Value('null'), 'norm_bbox': Value('null'), 'use_chat_template': Value('bool'), 'padding_side': Value('string'), 'padding_free': Value('bool'), 'loss_scale': Value('string'), 'is_binary_loss_scale': Value('bool'), 'sequence_parallel_size': Value('int64'), 'template_backend': Value('string'), 'response_prefix': Value('null'), 'enable_thinking': Value('null'), 'add_non_thinking_prefix': Value('bool'), 'dataset': List(Value('null')), 'val_dataset': List(Value('null')), 'cached_dataset': List(Value('string')), 'cached_val_dataset': List(Value('string')), 'split_dataset_ratio': Value('float64'), 'data_seed': Value('int64'), 'dataset_num_proc': Value('int64'), 'load_from_cache_file': Value('bool'), 'dataset_shuffle': Value('bool'), 'val_dataset_s
...
('float64'), 'mtp_decoder_input_detach': Value('bool'), 'mtp_shared_weights': Value('bool'), 'save_safetensors': Value('bool'), 'ref_model': Value('null'), 'ref_adapters': List(Value('null')), 'merge_lora': Value('bool'), 'max_shard_size': Value('string'), 'vit_gradient_checkpointing': Value('bool'), 'vit_gradient_checkpointing_kwargs': Value('null'), 'vit_attn_impl': Value('null'), 'vit_lr': Value('null'), 'aligner_lr': Value('null'), 'dsa_indexer_loss_coeff': Value('null'), 'dsa_indexer_use_sparse_loss': Value('bool'), 'check_model': Value('bool'), 'apply_wd_to_qk_layernorm': Value('bool'), 'linear_decoupled_in_proj': Value('bool'), 'enable_dft_loss': Value('bool'), 'enable_channel_loss': Value('bool'), 'save_strategy': Value('string'), 'callbacks': List(Value('string')), 'add_version': Value('bool'), 'create_checkpoint_symlink': Value('bool'), 'swift_version': Value('string'), 'ckpt_dir': Value('string'), 'rank': Value('int64'), 'global_world_size': Value('int64'), 'local_world_size': Value('int64'), 'model_suffix': Value('string'), 'model_info': Value('string'), 'model_meta': Value('string'), 'model_dir': Value('string'), 'template_meta': Value('string'), '_val_dataset_exists': Value('bool'), 'hub': Value('string'), 'seq_length': Value('int64'), 'is_multimodal': Value('bool'), 'megatron_model_meta': Value('string'), 'fp8': Value('null'), 'params_dtype': Value('string'), 'world_size': Value('int64'), 'data_parallel_size': Value('int64'), 'num_microbatches': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              metadata: struct<total_size: int64>
                child 0, total_size: int64
              weight_map: struct<model.language_model.embed_tokens.weight: string, model.visual.patch_embed.proj.weight: strin (... 43207 chars omitted)
                child 0, model.language_model.embed_tokens.weight: string
                child 1, model.visual.patch_embed.proj.weight: string
                child 2, model.visual.patch_embed.proj.bias: string
                child 3, model.visual.pos_embed.weight: string
                child 4, model.visual.blocks.0.norm1.weight: string
                child 5, model.visual.blocks.0.norm1.bias: string
                child 6, model.visual.blocks.0.norm2.weight: string
                child 7, model.visual.blocks.0.norm2.bias: string
                child 8, model.visual.blocks.0.attn.qkv.weight: string
                child 9, model.visual.blocks.0.attn.qkv.bias: string
                child 10, model.visual.blocks.0.attn.proj.weight: string
                child 11, model.visual.blocks.0.attn.proj.bias: string
                child 12, model.visual.blocks.0.mlp.linear_fc1.weight: string
                child 13, model.visual.blocks.0.mlp.linear_fc1.bias: string
                child 14, model.visual.blocks.0.mlp.linear_fc2.weight: string
                child 15, model.visual.blocks.0.mlp.linear_fc2.bias: string
                child 16, model.visual.blocks.1.norm1.weight: string
                child 17, model.visual.blocks.1.norm1.bias: string
                child 18, model.visual.blocks.1.norm2.weight: string
                child 19, model.visual.blocks.1.norm2.bias: string
                child 20, model.visual.blocks.1.attn.qkv.weight: string
                child 21, model.visual.blocks.1.attn.qkv.bias: string
                child 22, model.visual.blocks.1.attn.proj.weight: str
              ...
              t_num_proc: int64
              local_repo_path: null
              num_beams: int64
              desirable_weight: double
              swanlab_project: string
              load_args: bool
              system: null
              quant_method: null
              bnb_4bit_compute_dtype: string
              custom_register_path: list<item: null>
                child 0, item: null
              sync_ref_model: bool
              lr_warmup_iters: int64
              vit_attn_impl: null
              max_resample_times: int64
              rlhf_type: null
              scale_rewards: string
              muon_tp_mode: string
              moe_grouped_gemm: bool
              world_size: int64
              no_load_optim: bool
              freeze_vit: bool
              model_author: list<item: string>
                child 0, item: string
              account_for_embedding_in_pipeline_split: bool
              fp8_recipe: string
              weight_decay_incr_style: string
              lora_dtype: null
              metric_for_best_model: string
              use_hf: bool
              teacher_model_revision: null
              tensorboard_dir: string
              fp8_amax_history_len: int64
              beta: null
              cross_entropy_loss_fusion: bool
              virtual_pipeline_model_parallel_size: null
              wandb_exp_name: null
              apply_query_key_layer_scaling: bool
              vllm_tensor_parallel_size: int64
              teacher_model_type: null
              hub_token: null
              cosine_max_len_value_correct: double
              params_dtype: string
              ref_model: null
              freeze_aligner: bool
              data_parallel_random_init: bool
              target_regex: null
              center_rewards_coefficient: null
              max_completion_length: int64
              recompute_method: string
              eval_steps: int64
              completion_length_limit_scope: string
              micro_batch_size: int64
              torch_dtype: string
              muon_extra_scale_factor: double
              sequence_parallel: bool
              padding_side: string
              lr_warmup_fraction: double
              truncation_strategy: string
              num_microbatches: int64
              steps_per_generation: null
              to
              {'use_ray': Value('bool'), 'ray_exp_name': Value('null'), 'device_groups': Value('null'), 'model': Value('string'), 'model_type': Value('string'), 'model_revision': Value('null'), 'task_type': Value('string'), 'torch_dtype': Value('string'), 'attn_impl': Value('null'), 'experts_impl': Value('null'), 'new_special_tokens': List(Value('null')), 'num_labels': Value('null'), 'problem_type': Value('null'), 'rope_scaling': Value('null'), 'device_map': Value('null'), 'max_memory': {}, 'max_model_len': Value('null'), 'local_repo_path': Value('null'), 'init_strategy': Value('null'), 'template': Value('string'), 'system': Value('null'), 'max_length': Value('int64'), 'truncation_strategy': Value('string'), 'max_pixels': Value('null'), 'agent_template': Value('null'), 'norm_bbox': Value('null'), 'use_chat_template': Value('bool'), 'padding_side': Value('string'), 'padding_free': Value('bool'), 'loss_scale': Value('string'), 'is_binary_loss_scale': Value('bool'), 'sequence_parallel_size': Value('int64'), 'template_backend': Value('string'), 'response_prefix': Value('null'), 'enable_thinking': Value('null'), 'add_non_thinking_prefix': Value('bool'), 'dataset': List(Value('null')), 'val_dataset': List(Value('null')), 'cached_dataset': List(Value('string')), 'cached_val_dataset': List(Value('string')), 'split_dataset_ratio': Value('float64'), 'data_seed': Value('int64'), 'dataset_num_proc': Value('int64'), 'load_from_cache_file': Value('bool'), 'dataset_shuffle': Value('bool'), 'val_dataset_s
              ...
              ('float64'), 'mtp_decoder_input_detach': Value('bool'), 'mtp_shared_weights': Value('bool'), 'save_safetensors': Value('bool'), 'ref_model': Value('null'), 'ref_adapters': List(Value('null')), 'merge_lora': Value('bool'), 'max_shard_size': Value('string'), 'vit_gradient_checkpointing': Value('bool'), 'vit_gradient_checkpointing_kwargs': Value('null'), 'vit_attn_impl': Value('null'), 'vit_lr': Value('null'), 'aligner_lr': Value('null'), 'dsa_indexer_loss_coeff': Value('null'), 'dsa_indexer_use_sparse_loss': Value('bool'), 'check_model': Value('bool'), 'apply_wd_to_qk_layernorm': Value('bool'), 'linear_decoupled_in_proj': Value('bool'), 'enable_dft_loss': Value('bool'), 'enable_channel_loss': Value('bool'), 'save_strategy': Value('string'), 'callbacks': List(Value('string')), 'add_version': Value('bool'), 'create_checkpoint_symlink': Value('bool'), 'swift_version': Value('string'), 'ckpt_dir': Value('string'), 'rank': Value('int64'), 'global_world_size': Value('int64'), 'local_world_size': Value('int64'), 'model_suffix': Value('string'), 'model_info': Value('string'), 'model_meta': Value('string'), 'model_dir': Value('string'), 'template_meta': Value('string'), '_val_dataset_exists': Value('bool'), 'hub': Value('string'), 'seq_length': Value('int64'), 'is_multimodal': Value('bool'), 'megatron_model_meta': Value('string'), 'fp8': Value('null'), 'params_dtype': Value('string'), 'world_size': Value('int64'), 'data_parallel_size': Value('int64'), 'num_microbatches': Value('int64')}
              because column names don't match