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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Schema at index 20 was different: 
chat_template: string
exp_name: string
git_sha: string
hidden_dtype: string
hidden_size: int64
index_record_size: int64
mask_dtype: string
max_length: int64
min_loss_tokens: int64
normalization_weight_name: string
num_samples: int64
num_shards: int64
project_name: string
projection_model_name_or_path: string
projection_weight_name: string
shards: list<item: struct<file_name: string, shard_id: int64>>
source_jsonl_paths: list<item: string>
target_hidden_states_normalized: bool
target_hidden_states_num_layers: int64
target_hidden_states_projected: bool
target_layer_ids: list<item: int64>
target_model_name_or_path: string
token_dtype: string
version: int64
vs
cache_hidden_dtype: string
config: string
config_mtime_ns: int64
config_size: int64
dspark_model_name_or_path: string
input_mtime_ns: int64
input_path: string
input_size: int64
max_shard_bytes: int64
min_loss_tokens: int64
opts: list<item: null>
quantization_block_size: int64
samples_per_chunk: int64
version: int64
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 662, in write_rows_on_file
                  table = pa.concat_tables(self.current_rows)
                File "pyarrow/table.pxi", line 6321, in pyarrow.lib.concat_tables
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 20 was different: 
              chat_template: string
              exp_name: string
              git_sha: string
              hidden_dtype: string
              hidden_size: int64
              index_record_size: int64
              mask_dtype: string
              max_length: int64
              min_loss_tokens: int64
              normalization_weight_name: string
              num_samples: int64
              num_shards: int64
              project_name: string
              projection_model_name_or_path: string
              projection_weight_name: string
              shards: list<item: struct<file_name: string, shard_id: int64>>
              source_jsonl_paths: list<item: string>
              target_hidden_states_normalized: bool
              target_hidden_states_num_layers: int64
              target_hidden_states_projected: bool
              target_layer_ids: list<item: int64>
              target_model_name_or_path: string
              token_dtype: string
              version: int64
              vs
              cache_hidden_dtype: string
              config: string
              config_mtime_ns: int64
              config_size: int64
              dspark_model_name_or_path: string
              input_mtime_ns: int64
              input_path: string
              input_size: int64
              max_shard_bytes: int64
              min_loss_tokens: int64
              opts: list<item: null>
              quantization_block_size: int64
              samples_per_chunk: int64
              version: int64
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00000
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00001
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00002
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00003
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00004
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00005
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00006
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00007
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00008
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00009
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00010
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00011
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00012
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00013
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00014
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00015
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00016
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00017
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00018
/scicore/home/boguno0000/tripod0001/dflow/cache/qwen3_4b_20k-projected-normalized-bf16/chunk-00019
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