Datasets:

---

zhouqh

/

roboturn

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
metadata: struct<total_parameters: int64, total_size: int64>
  child 0, total_parameters: int64
  child 1, total_size: int64
weight_map: struct<lm_head.weight: string, model.language_model.embed_tokens.weight: string, model.language_mode (... 70647 chars omitted)
  child 0, lm_head.weight: string
  child 1, model.language_model.embed_tokens.weight: string
  child 2, model.language_model.layers.0.input_layernorm.weight: string
  child 3, model.language_model.layers.0.linear_attn.A_log: string
  child 4, model.language_model.layers.0.linear_attn.conv1d.weight: string
  child 5, model.language_model.layers.0.linear_attn.dt_bias: string
  child 6, model.language_model.layers.0.linear_attn.in_proj_a.weight: string
  child 7, model.language_model.layers.0.linear_attn.in_proj_b.weight: string
  child 8, model.language_model.layers.0.linear_attn.in_proj_qkv.weight: string
  child 9, model.language_model.layers.0.linear_attn.in_proj_z.weight: string
  child 10, model.language_model.layers.0.linear_attn.norm.weight: string
  child 11, model.language_model.layers.0.linear_attn.out_proj.weight: string
  child 12, model.language_model.layers.0.mlp.down_proj.weight: string
  child 13, model.language_model.layers.0.mlp.gate_proj.weight: string
  child 14, model.language_model.layers.0.mlp.up_proj.weight: string
  child 15, model.language_model.layers.0.post_attention_layernorm.weight: string
  child 16, model.language_model.layers.1.input_layernorm.weight: string
  child 17, model.language_
...
cks.8.norm2.bias: string
  child 1162, model.visual.blocks.8.norm2.weight: string
  child 1163, model.visual.blocks.9.attn.proj.bias: string
  child 1164, model.visual.blocks.9.attn.proj.weight: string
  child 1165, model.visual.blocks.9.attn.qkv.bias: string
  child 1166, model.visual.blocks.9.attn.qkv.weight: string
  child 1167, model.visual.blocks.9.mlp.linear_fc1.bias: string
  child 1168, model.visual.blocks.9.mlp.linear_fc1.weight: string
  child 1169, model.visual.blocks.9.mlp.linear_fc2.bias: string
  child 1170, model.visual.blocks.9.mlp.linear_fc2.weight: string
  child 1171, model.visual.blocks.9.norm1.bias: string
  child 1172, model.visual.blocks.9.norm1.weight: string
  child 1173, model.visual.blocks.9.norm2.bias: string
  child 1174, model.visual.blocks.9.norm2.weight: string
  child 1175, model.visual.merger.linear_fc1.bias: string
  child 1176, model.visual.merger.linear_fc1.weight: string
  child 1177, model.visual.merger.linear_fc2.bias: string
  child 1178, model.visual.merger.linear_fc2.weight: string
  child 1179, model.visual.merger.norm.bias: string
  child 1180, model.visual.merger.norm.weight: string
  child 1181, model.visual.patch_embed.proj.bias: string
  child 1182, model.visual.patch_embed.proj.weight: string
  child 1183, model.visual.pos_embed.weight: string
bos_token_id: int64
top_p: double
top_k: int64
do_sample: bool
transformers_version: string
eos_token_id: list<item: int64>
  child 0, item: int64
temperature: double
pad_token_id: int64
to
{'bos_token_id': Value('int64'), 'do_sample': Value('bool'), 'eos_token_id': List(Value('int64')), 'pad_token_id': Value('int64'), 'temperature': Value('float64'), 'top_k': Value('int64'), 'top_p': Value('float64'), 'transformers_version': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              metadata: struct<total_parameters: int64, total_size: int64>
                child 0, total_parameters: int64
                child 1, total_size: int64
              weight_map: struct<lm_head.weight: string, model.language_model.embed_tokens.weight: string, model.language_mode (... 70647 chars omitted)
                child 0, lm_head.weight: string
                child 1, model.language_model.embed_tokens.weight: string
                child 2, model.language_model.layers.0.input_layernorm.weight: string
                child 3, model.language_model.layers.0.linear_attn.A_log: string
                child 4, model.language_model.layers.0.linear_attn.conv1d.weight: string
                child 5, model.language_model.layers.0.linear_attn.dt_bias: string
                child 6, model.language_model.layers.0.linear_attn.in_proj_a.weight: string
                child 7, model.language_model.layers.0.linear_attn.in_proj_b.weight: string
                child 8, model.language_model.layers.0.linear_attn.in_proj_qkv.weight: string
                child 9, model.language_model.layers.0.linear_attn.in_proj_z.weight: string
                child 10, model.language_model.layers.0.linear_attn.norm.weight: string
                child 11, model.language_model.layers.0.linear_attn.out_proj.weight: string
                child 12, model.language_model.layers.0.mlp.down_proj.weight: string
                child 13, model.language_model.layers.0.mlp.gate_proj.weight: string
                child 14, model.language_model.layers.0.mlp.up_proj.weight: string
                child 15, model.language_model.layers.0.post_attention_layernorm.weight: string
                child 16, model.language_model.layers.1.input_layernorm.weight: string
                child 17, model.language_
              ...
              cks.8.norm2.bias: string
                child 1162, model.visual.blocks.8.norm2.weight: string
                child 1163, model.visual.blocks.9.attn.proj.bias: string
                child 1164, model.visual.blocks.9.attn.proj.weight: string
                child 1165, model.visual.blocks.9.attn.qkv.bias: string
                child 1166, model.visual.blocks.9.attn.qkv.weight: string
                child 1167, model.visual.blocks.9.mlp.linear_fc1.bias: string
                child 1168, model.visual.blocks.9.mlp.linear_fc1.weight: string
                child 1169, model.visual.blocks.9.mlp.linear_fc2.bias: string
                child 1170, model.visual.blocks.9.mlp.linear_fc2.weight: string
                child 1171, model.visual.blocks.9.norm1.bias: string
                child 1172, model.visual.blocks.9.norm1.weight: string
                child 1173, model.visual.blocks.9.norm2.bias: string
                child 1174, model.visual.blocks.9.norm2.weight: string
                child 1175, model.visual.merger.linear_fc1.bias: string
                child 1176, model.visual.merger.linear_fc1.weight: string
                child 1177, model.visual.merger.linear_fc2.bias: string
                child 1178, model.visual.merger.linear_fc2.weight: string
                child 1179, model.visual.merger.norm.bias: string
                child 1180, model.visual.merger.norm.weight: string
                child 1181, model.visual.patch_embed.proj.bias: string
                child 1182, model.visual.patch_embed.proj.weight: string
                child 1183, model.visual.pos_embed.weight: string
              bos_token_id: int64
              top_p: double
              top_k: int64
              do_sample: bool
              transformers_version: string
              eos_token_id: list<item: int64>
                child 0, item: int64
              temperature: double
              pad_token_id: int64
              to
              {'bos_token_id': Value('int64'), 'do_sample': Value('bool'), 'eos_token_id': List(Value('int64')), 'pad_token_id': Value('int64'), 'temperature': Value('float64'), 'top_k': Value('int64'), 'top_p': Value('float64'), 'transformers_version': Value('string')}
              because column names don't match