Datasets:

---

memmywinks

/

DeepSeek_Math_V2

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.embed_tokens.weight: string, model.layers.0.self_attn.q_a_proj.weight: string, model.la (... 2637467 chars omitted)
  child 0, model.embed_tokens.weight: string
  child 1, model.layers.0.self_attn.q_a_proj.weight: string
  child 2, model.layers.0.self_attn.q_a_layernorm.weight: string
  child 3, model.layers.0.self_attn.q_b_proj.weight: string
  child 4, model.layers.0.self_attn.kv_a_proj_with_mqa.weight: string
  child 5, model.layers.0.self_attn.kv_a_layernorm.weight: string
  child 6, model.layers.0.self_attn.kv_b_proj.weight: string
  child 7, model.layers.0.self_attn.o_proj.weight: string
  child 8, model.layers.0.self_attn.indexer.wq_b.weight: string
  child 9, model.layers.0.self_attn.indexer.wk.weight: string
  child 10, model.layers.0.self_attn.indexer.k_norm.weight: string
  child 11, model.layers.0.self_attn.indexer.k_norm.bias: string
  child 12, model.layers.0.self_attn.indexer.weights_proj.weight: string
  child 13, model.layers.0.mlp.gate_proj.weight: string
  child 14, model.layers.0.mlp.up_proj.weight: string
  child 15, model.layers.0.mlp.down_proj.weight: string
  child 16, model.layers.0.input_layernorm.weight: string
  child 17, model.layers.0.post_attention_layernorm.weight: string
  child 18, model.layers.1.self_attn.q_a_proj.weight: string
  child 19, model.layers.1.self_attn.q_a_layernorm.weight: string
  child 20, model.layers.1.self_attn.q_b_proj.weight: string
...
down_proj.weight: string
  child 46473, model.layers.61.mlp.experts.252.gate_proj.weight: string
  child 46474, model.layers.61.mlp.experts.252.up_proj.weight: string
  child 46475, model.layers.61.mlp.experts.252.down_proj.weight: string
  child 46476, model.layers.61.mlp.experts.253.gate_proj.weight: string
  child 46477, model.layers.61.mlp.experts.253.up_proj.weight: string
  child 46478, model.layers.61.mlp.experts.253.down_proj.weight: string
  child 46479, model.layers.61.mlp.experts.254.gate_proj.weight: string
  child 46480, model.layers.61.mlp.experts.254.up_proj.weight: string
  child 46481, model.layers.61.mlp.experts.254.down_proj.weight: string
  child 46482, model.layers.61.mlp.experts.255.gate_proj.weight: string
  child 46483, model.layers.61.mlp.experts.255.up_proj.weight: string
  child 46484, model.layers.61.mlp.experts.255.down_proj.weight: string
  child 46485, model.layers.61.input_layernorm.weight: string
  child 46486, model.layers.61.post_attention_layernorm.weight: string
  child 46487, model.layers.61.embed_tokens.weight: string
  child 46488, model.layers.61.enorm.weight: string
  child 46489, model.layers.61.hnorm.weight: string
  child 46490, model.layers.61.eh_proj.weight: string
  child 46491, model.layers.61.shared_head.norm.weight: string
  child 46492, model.layers.61.shared_head.head.weight: string
do_sample: bool
transformers_version: string
temperature: double
bos_token_id: int64
eos_token_id: int64
_from_model_config: bool
top_p: double
to
{'_from_model_config': Value('bool'), 'bos_token_id': Value('int64'), 'eos_token_id': Value('int64'), 'do_sample': Value('bool'), 'temperature': Value('float64'), '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 489, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, 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.embed_tokens.weight: string, model.layers.0.self_attn.q_a_proj.weight: string, model.la (... 2637467 chars omitted)
                child 0, model.embed_tokens.weight: string
                child 1, model.layers.0.self_attn.q_a_proj.weight: string
                child 2, model.layers.0.self_attn.q_a_layernorm.weight: string
                child 3, model.layers.0.self_attn.q_b_proj.weight: string
                child 4, model.layers.0.self_attn.kv_a_proj_with_mqa.weight: string
                child 5, model.layers.0.self_attn.kv_a_layernorm.weight: string
                child 6, model.layers.0.self_attn.kv_b_proj.weight: string
                child 7, model.layers.0.self_attn.o_proj.weight: string
                child 8, model.layers.0.self_attn.indexer.wq_b.weight: string
                child 9, model.layers.0.self_attn.indexer.wk.weight: string
                child 10, model.layers.0.self_attn.indexer.k_norm.weight: string
                child 11, model.layers.0.self_attn.indexer.k_norm.bias: string
                child 12, model.layers.0.self_attn.indexer.weights_proj.weight: string
                child 13, model.layers.0.mlp.gate_proj.weight: string
                child 14, model.layers.0.mlp.up_proj.weight: string
                child 15, model.layers.0.mlp.down_proj.weight: string
                child 16, model.layers.0.input_layernorm.weight: string
                child 17, model.layers.0.post_attention_layernorm.weight: string
                child 18, model.layers.1.self_attn.q_a_proj.weight: string
                child 19, model.layers.1.self_attn.q_a_layernorm.weight: string
                child 20, model.layers.1.self_attn.q_b_proj.weight: string
              ...
              down_proj.weight: string
                child 46473, model.layers.61.mlp.experts.252.gate_proj.weight: string
                child 46474, model.layers.61.mlp.experts.252.up_proj.weight: string
                child 46475, model.layers.61.mlp.experts.252.down_proj.weight: string
                child 46476, model.layers.61.mlp.experts.253.gate_proj.weight: string
                child 46477, model.layers.61.mlp.experts.253.up_proj.weight: string
                child 46478, model.layers.61.mlp.experts.253.down_proj.weight: string
                child 46479, model.layers.61.mlp.experts.254.gate_proj.weight: string
                child 46480, model.layers.61.mlp.experts.254.up_proj.weight: string
                child 46481, model.layers.61.mlp.experts.254.down_proj.weight: string
                child 46482, model.layers.61.mlp.experts.255.gate_proj.weight: string
                child 46483, model.layers.61.mlp.experts.255.up_proj.weight: string
                child 46484, model.layers.61.mlp.experts.255.down_proj.weight: string
                child 46485, model.layers.61.input_layernorm.weight: string
                child 46486, model.layers.61.post_attention_layernorm.weight: string
                child 46487, model.layers.61.embed_tokens.weight: string
                child 46488, model.layers.61.enorm.weight: string
                child 46489, model.layers.61.hnorm.weight: string
                child 46490, model.layers.61.eh_proj.weight: string
                child 46491, model.layers.61.shared_head.norm.weight: string
                child 46492, model.layers.61.shared_head.head.weight: string
              do_sample: bool
              transformers_version: string
              temperature: double
              bos_token_id: int64
              eos_token_id: int64
              _from_model_config: bool
              top_p: double
              to
              {'_from_model_config': Value('bool'), 'bos_token_id': Value('int64'), 'eos_token_id': Value('int64'), 'do_sample': Value('bool'), 'temperature': Value('float64'), 'top_p': Value('float64'), 'transformers_version': Value('string')}
              because column names don't match