The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
alpha_pattern: struct<>
auto_mapping: struct<base_model_class: string, parent_library: string>
base_model_name_or_path: string
bias: string
corda_config: null
eva_config: null
exclude_modules: null
fan_in_fan_out: bool
inference_mode: bool
init_lora_weights: bool
layer_replication: null
layers_pattern: null
layers_to_transform: null
loftq_config: struct<>
lora_alpha: int64
lora_bias: bool
lora_dropout: double
megatron_config: null
megatron_core: string
modules_to_save: null
peft_type: string
qalora_group_size: int64
r: int64
rank_pattern: struct<>
revision: null
target_modules: list<item: string>
task_type: null
trainable_token_indices: null
use_dora: bool
use_qalora: bool
use_rslora: bool
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Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
for key, example in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 531, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
alpha_pattern: struct<>
auto_mapping: struct<base_model_class: string, parent_library: string>
base_model_name_or_path: string
bias: string
corda_config: null
eva_config: null
exclude_modules: null
fan_in_fan_out: bool
inference_mode: bool
init_lora_weights: bool
layer_replication: null
layers_pattern: null
layers_to_transform: null
loftq_config: struct<>
lora_alpha: int64
lora_bias: bool
lora_dropout: double
megatron_config: null
megatron_core: string
modules_to_save: null
peft_type: string
qalora_group_size: int64
r: int64
rank_pattern: struct<>
revision: null
target_modules: list<item: string>
task_type: null
trainable_token_indices: null
use_dora: bool
use_qalora: bool
use_rslora: bool
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<|zh|>: int64Need 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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