Dataset Viewer
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
version: string
truncation: null
padding: null
added_tokens: list<item: struct<id: int64, content: string, single_word: bool, lstrip: bool, rstrip: bool, normali (... 26 chars omitted)
child 0, item: struct<id: int64, content: string, single_word: bool, lstrip: bool, rstrip: bool, normalized: bool, (... 14 chars omitted)
child 0, id: int64
child 1, content: string
child 2, single_word: bool
child 3, lstrip: bool
child 4, rstrip: bool
child 5, normalized: bool
child 6, special: bool
normalizer: null
pre_tokenizer: struct<type: string, replacement: string, prepend_scheme: string, split: bool>
child 0, type: string
child 1, replacement: string
child 2, prepend_scheme: string
child 3, split: bool
post_processor: struct<type: string, single: list<item: struct<SpecialToken: struct<id: string, type_id: int64>, Seq (... 267 chars omitted)
child 0, type: string
child 1, single: list<item: struct<SpecialToken: struct<id: string, type_id: int64>, Sequence: struct<id: string, typ (... 14 chars omitted)
child 0, item: struct<SpecialToken: struct<id: string, type_id: int64>, Sequence: struct<id: string, type_id: int64 (... 2 chars omitted)
child 0, SpecialToken: struct<id: string, type_id: int64>
child 0, id: string
child 1, type_id: int64
child 1, Sequence: struct<id: string, type_id: int64>
child 0, id: string
child 1, type_id: int64
child 2, pair:
...
32748, ষ: int64
child 32749, 乎: int64
child 32750, 규: int64
child 32751, 岗: int64
child 32752, 糊: int64
child 32753, క: int64
child 32754, 雲: int64
child 32755, 심: int64
child 32756, ई: int64
child 32757, འ: int64
child 32758, ἡ: int64
child 32759, 丝: int64
child 32760, Ħ: int64
child 32761, ٍ: int64
child 32762, ٓ: int64
child 32763, အ: int64
child 32764, 執: int64
child 32765, 벨: int64
child 32766, ゼ: int64
child 32767, 梦: int64
child 9, merges: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
exclude_modules: null
task_type: string
target_parameters: null
base_model_name_or_path: string
target_modules: list<item: string>
child 0, item: string
arrow_config: null
revision: null
ensure_weight_tying: bool
lora_alpha: int64
megatron_config: null
r: int64
loftq_config: struct<>
use_bdlora: null
init_lora_weights: bool
lora_bias: bool
lora_dropout: double
auto_mapping: null
peft_type: string
modules_to_save: null
use_dora: bool
layers_to_transform: null
qalora_group_size: int64
alpha_pattern: struct<>
layer_replication: null
eva_config: null
inference_mode: bool
alora_invocation_tokens: null
fan_in_fan_out: bool
peft_version: string
megatron_core: string
corda_config: null
layers_pattern: null
bias: string
lora_ga_config: null
trainable_token_indices: null
use_rslora: bool
use_qalora: bool
rank_pattern: struct<>
to
{'alora_invocation_tokens': Value('null'), 'alpha_pattern': {}, 'arrow_config': Value('null'), 'auto_mapping': Value('null'), 'base_model_name_or_path': Value('string'), 'bias': Value('string'), 'corda_config': Value('null'), 'ensure_weight_tying': Value('bool'), 'eva_config': Value('null'), 'exclude_modules': Value('null'), 'fan_in_fan_out': Value('bool'), 'inference_mode': Value('bool'), 'init_lora_weights': Value('bool'), 'layer_replication': Value('null'), 'layers_pattern': Value('null'), 'layers_to_transform': Value('null'), 'loftq_config': {}, 'lora_alpha': Value('int64'), 'lora_bias': Value('bool'), 'lora_dropout': Value('float64'), 'lora_ga_config': Value('null'), 'megatron_config': Value('null'), 'megatron_core': Value('string'), 'modules_to_save': Value('null'), 'peft_type': Value('string'), 'peft_version': Value('string'), 'qalora_group_size': Value('int64'), 'r': Value('int64'), 'rank_pattern': {}, 'revision': Value('null'), 'target_modules': List(Value('string')), 'target_parameters': Value('null'), 'task_type': Value('string'), 'trainable_token_indices': Value('null'), 'use_bdlora': Value('null'), 'use_dora': Value('bool'), 'use_qalora': Value('bool'), 'use_rslora': Value('bool')}
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 295, 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 128, 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 2281, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
version: string
truncation: null
padding: null
added_tokens: list<item: struct<id: int64, content: string, single_word: bool, lstrip: bool, rstrip: bool, normali (... 26 chars omitted)
child 0, item: struct<id: int64, content: string, single_word: bool, lstrip: bool, rstrip: bool, normalized: bool, (... 14 chars omitted)
child 0, id: int64
child 1, content: string
child 2, single_word: bool
child 3, lstrip: bool
child 4, rstrip: bool
child 5, normalized: bool
child 6, special: bool
normalizer: null
pre_tokenizer: struct<type: string, replacement: string, prepend_scheme: string, split: bool>
child 0, type: string
child 1, replacement: string
child 2, prepend_scheme: string
child 3, split: bool
post_processor: struct<type: string, single: list<item: struct<SpecialToken: struct<id: string, type_id: int64>, Seq (... 267 chars omitted)
child 0, type: string
child 1, single: list<item: struct<SpecialToken: struct<id: string, type_id: int64>, Sequence: struct<id: string, typ (... 14 chars omitted)
child 0, item: struct<SpecialToken: struct<id: string, type_id: int64>, Sequence: struct<id: string, type_id: int64 (... 2 chars omitted)
child 0, SpecialToken: struct<id: string, type_id: int64>
child 0, id: string
child 1, type_id: int64
child 1, Sequence: struct<id: string, type_id: int64>
child 0, id: string
child 1, type_id: int64
child 2, pair:
...
32748, ষ: int64
child 32749, 乎: int64
child 32750, 규: int64
child 32751, 岗: int64
child 32752, 糊: int64
child 32753, క: int64
child 32754, 雲: int64
child 32755, 심: int64
child 32756, ई: int64
child 32757, འ: int64
child 32758, ἡ: int64
child 32759, 丝: int64
child 32760, Ħ: int64
child 32761, ٍ: int64
child 32762, ٓ: int64
child 32763, အ: int64
child 32764, 執: int64
child 32765, 벨: int64
child 32766, ゼ: int64
child 32767, 梦: int64
child 9, merges: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
exclude_modules: null
task_type: string
target_parameters: null
base_model_name_or_path: string
target_modules: list<item: string>
child 0, item: string
arrow_config: null
revision: null
ensure_weight_tying: bool
lora_alpha: int64
megatron_config: null
r: int64
loftq_config: struct<>
use_bdlora: null
init_lora_weights: bool
lora_bias: bool
lora_dropout: double
auto_mapping: null
peft_type: string
modules_to_save: null
use_dora: bool
layers_to_transform: null
qalora_group_size: int64
alpha_pattern: struct<>
layer_replication: null
eva_config: null
inference_mode: bool
alora_invocation_tokens: null
fan_in_fan_out: bool
peft_version: string
megatron_core: string
corda_config: null
layers_pattern: null
bias: string
lora_ga_config: null
trainable_token_indices: null
use_rslora: bool
use_qalora: bool
rank_pattern: struct<>
to
{'alora_invocation_tokens': Value('null'), 'alpha_pattern': {}, 'arrow_config': Value('null'), 'auto_mapping': Value('null'), 'base_model_name_or_path': Value('string'), 'bias': Value('string'), 'corda_config': Value('null'), 'ensure_weight_tying': Value('bool'), 'eva_config': Value('null'), 'exclude_modules': Value('null'), 'fan_in_fan_out': Value('bool'), 'inference_mode': Value('bool'), 'init_lora_weights': Value('bool'), 'layer_replication': Value('null'), 'layers_pattern': Value('null'), 'layers_to_transform': Value('null'), 'loftq_config': {}, 'lora_alpha': Value('int64'), 'lora_bias': Value('bool'), 'lora_dropout': Value('float64'), 'lora_ga_config': Value('null'), 'megatron_config': Value('null'), 'megatron_core': Value('string'), 'modules_to_save': Value('null'), 'peft_type': Value('string'), 'peft_version': Value('string'), 'qalora_group_size': Value('int64'), 'r': Value('int64'), 'rank_pattern': {}, 'revision': Value('null'), 'target_modules': List(Value('string')), 'target_parameters': Value('null'), 'task_type': Value('string'), 'trainable_token_indices': Value('null'), 'use_bdlora': Value('null'), 'use_dora': Value('bool'), 'use_qalora': Value('bool'), 'use_rslora': Value('bool')}
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.
No dataset card yet
- Downloads last month
- 2,350