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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
_name_or_path: string
architectures: list<item: string>
child 0, item: string
attention_dropout: double
bos_token_id: int64
embd_pdrop: double
eos_token_id: int64
freeze_vision_tower: bool
hidden_act: string
hidden_size: int64
image_aspect_ratio: string
initializer_range: double
intermediate_size: int64
layer_norm_eps: double
mask_decode_train: bool
max_position_embeddings: int64
mm_projector_lr: null
mm_use_im_patch_token: bool
mm_use_im_start_end: bool
mm_vision_tower: string
model_type: string
non_lora_lr: null
num_attention_heads: int64
num_hidden_layers: int64
num_key_value_heads: int64
partial_rotary_factor: double
pretraining_tp: int64
qk_layernorm: bool
resid_pdrop: double
rope_scaling: null
rope_theta: double
swin_type: string
tie_word_embeddings: bool
tokenizer_model_max_length: int64
tokenizer_padding_side: string
torch_dtype: string
transformers_version: string
tune_mm_mlp_adapter: bool
use_cache: bool
use_mm_proj: bool
vision_config: struct<mm_projector: struct<_name_or_path: string, add_cross_attention: bool, architectures: null, b (... 3188 chars omitted)
child 0, mm_projector: struct<_name_or_path: string, add_cross_attention: bool, architectures: null, bad_words_ids: null, b (... 1356 chars omitted)
child 0, _name_or_path: string
child 1, add_cross_attention: bool
child 2, architectures: null
child 3, bad_words_ids: null
child 4, begin_suppress_tokens: null
child 5, bos_token_id: null
child 6, chunk_size_feed_forw
...
n_dict_in_generate: bool
child 56, sep_token_id: null
child 57, suppress_tokens: null
child 58, task_specific_params: null
child 59, temperature: double
child 60, tf_legacy_loss: bool
child 61, tie_encoder_decoder: bool
child 62, tie_word_embeddings: bool
child 63, tokenizer_class: null
child 64, top_k: int64
child 65, top_p: double
child 66, torch_dtype: null
child 67, torchscript: bool
child 68, transformers_version: string
child 69, typical_p: double
child 70, use_bfloat16: bool
child 71, vision_model_name_or_path: string
vocab_size: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
[SEG]: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
to
{'\t\t': Value('int64'), '\t\t\t': Value('int64'), '\t\t\t\t': Value('int64'), '\t\t\t\t\t': Value('int64'), '\t\t\t\t\t\t': Value('int64'), '\t\t\t\t\t\t\t': Value('int64'), '\t\t\t\t\t\t\t\t': Value('int64'), '\t\t\t\t\t\t\t\t\t': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), '[SEG]': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 289, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 124, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
_name_or_path: string
architectures: list<item: string>
child 0, item: string
attention_dropout: double
bos_token_id: int64
embd_pdrop: double
eos_token_id: int64
freeze_vision_tower: bool
hidden_act: string
hidden_size: int64
image_aspect_ratio: string
initializer_range: double
intermediate_size: int64
layer_norm_eps: double
mask_decode_train: bool
max_position_embeddings: int64
mm_projector_lr: null
mm_use_im_patch_token: bool
mm_use_im_start_end: bool
mm_vision_tower: string
model_type: string
non_lora_lr: null
num_attention_heads: int64
num_hidden_layers: int64
num_key_value_heads: int64
partial_rotary_factor: double
pretraining_tp: int64
qk_layernorm: bool
resid_pdrop: double
rope_scaling: null
rope_theta: double
swin_type: string
tie_word_embeddings: bool
tokenizer_model_max_length: int64
tokenizer_padding_side: string
torch_dtype: string
transformers_version: string
tune_mm_mlp_adapter: bool
use_cache: bool
use_mm_proj: bool
vision_config: struct<mm_projector: struct<_name_or_path: string, add_cross_attention: bool, architectures: null, b (... 3188 chars omitted)
child 0, mm_projector: struct<_name_or_path: string, add_cross_attention: bool, architectures: null, bad_words_ids: null, b (... 1356 chars omitted)
child 0, _name_or_path: string
child 1, add_cross_attention: bool
child 2, architectures: null
child 3, bad_words_ids: null
child 4, begin_suppress_tokens: null
child 5, bos_token_id: null
child 6, chunk_size_feed_forw
...
n_dict_in_generate: bool
child 56, sep_token_id: null
child 57, suppress_tokens: null
child 58, task_specific_params: null
child 59, temperature: double
child 60, tf_legacy_loss: bool
child 61, tie_encoder_decoder: bool
child 62, tie_word_embeddings: bool
child 63, tokenizer_class: null
child 64, top_k: int64
child 65, top_p: double
child 66, torch_dtype: null
child 67, torchscript: bool
child 68, transformers_version: string
child 69, typical_p: double
child 70, use_bfloat16: bool
child 71, vision_model_name_or_path: string
vocab_size: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
[SEG]: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
: int64
to
{'\t\t': Value('int64'), '\t\t\t': Value('int64'), '\t\t\t\t': Value('int64'), '\t\t\t\t\t': Value('int64'), '\t\t\t\t\t\t': Value('int64'), '\t\t\t\t\t\t\t': Value('int64'), '\t\t\t\t\t\t\t\t': Value('int64'), '\t\t\t\t\t\t\t\t\t': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), ' ': Value('int64'), '[SEG]': Value('int64')}
because column names don't matchNeed 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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