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
created_at: string
updated_at: string
completed_shards: list<item: string>
child 0, item: string
uploaded_shards: list<item: string>
child 0, item: string
pending_upload_shards: list<item: string>
child 0, item: string
failed_uploads: struct<>
config: struct<chunk_file: string, base_model: string, adapter_path: string, pooling: string, output_schema: (... 228 chars omitted)
child 0, chunk_file: string
child 1, base_model: string
child 2, adapter_path: string
child 3, pooling: string
child 4, output_schema: string
child 5, embedding_dtype: string
child 6, max_seq_length: int64
child 7, batch_size: int64
child 8, shard_size: int64
child 9, tensor_parallel_size: int64
child 10, gpu_memory_utilization: double
child 11, hf_repo_id: string
child 12, hf_path_prefix: string
child 13, devices: list<item: string>
child 0, item: string
failed_shards: struct<>
workers: list<item: struct<worker_name: string, device: string, assigned_shards: list<item: int64>, completed (... 193 chars omitted)
child 0, item: struct<worker_name: string, device: string, assigned_shards: list<item: int64>, completed_shards: li (... 181 chars omitted)
child 0, worker_name: string
child 1, device: string
child 2, assigned_shards: list<item: int64>
child 0, item: int64
child 3, completed_shards: list<item: string>
child 0, item: string
child 4, failed_shards: struct<>
child 5, uploaded_shards: list<item: null>
child 0, item: null
child 6, pending_upload_shards: list<item: null>
child 0, item: null
child 7, failed_uploads: struct<>
child 8, parity: null
child 9, progress_path: string
parity: null
tensor_parallel_size: int64
batch_size: int64
output_schema: string
flash_attn_version: null
hf_repo_id: string
base_model: string
pooling: string
hf_path_prefix: string
total_rows: int64
gpu_memory_utilization: double
devices: list<item: string>
child 0, item: string
max_seq_length: int64
shard_size: int64
chunk_file: string
attention_backend: null
total_shards: int64
adapter_path: string
to
{'created_at': Value('string'), 'updated_at': Value('string'), 'chunk_file': Value('string'), 'base_model': Value('string'), 'adapter_path': Value('string'), 'hf_repo_id': Value('string'), 'hf_path_prefix': Value('string'), 'pooling': Value('string'), 'output_schema': Value('string'), 'max_seq_length': Value('int64'), 'batch_size': Value('int64'), 'shard_size': Value('int64'), 'total_rows': Value('int64'), 'total_shards': Value('int64'), 'completed_shards': List(Value('string')), 'failed_shards': {}, 'uploaded_shards': List(Value('null')), 'pending_upload_shards': List(Value('null')), 'failed_uploads': {}, 'tensor_parallel_size': Value('int64'), 'gpu_memory_utilization': Value('float64'), 'attention_backend': Value('null'), 'flash_attn_version': Value('null'), 'devices': List(Value('string')), 'workers': List({'worker_name': Value('string'), 'device': Value('string'), 'assigned_shards': List(Value('int64')), 'completed_shards': List(Value('string')), 'failed_shards': {}, 'uploaded_shards': List(Value('null')), 'pending_upload_shards': List(Value('null')), 'failed_uploads': {}, 'parity': Value('null'), 'progress_path': Value('string')}), 'parity': Value('null')}
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
created_at: string
updated_at: string
completed_shards: list<item: string>
child 0, item: string
uploaded_shards: list<item: string>
child 0, item: string
pending_upload_shards: list<item: string>
child 0, item: string
failed_uploads: struct<>
config: struct<chunk_file: string, base_model: string, adapter_path: string, pooling: string, output_schema: (... 228 chars omitted)
child 0, chunk_file: string
child 1, base_model: string
child 2, adapter_path: string
child 3, pooling: string
child 4, output_schema: string
child 5, embedding_dtype: string
child 6, max_seq_length: int64
child 7, batch_size: int64
child 8, shard_size: int64
child 9, tensor_parallel_size: int64
child 10, gpu_memory_utilization: double
child 11, hf_repo_id: string
child 12, hf_path_prefix: string
child 13, devices: list<item: string>
child 0, item: string
failed_shards: struct<>
workers: list<item: struct<worker_name: string, device: string, assigned_shards: list<item: int64>, completed (... 193 chars omitted)
child 0, item: struct<worker_name: string, device: string, assigned_shards: list<item: int64>, completed_shards: li (... 181 chars omitted)
child 0, worker_name: string
child 1, device: string
child 2, assigned_shards: list<item: int64>
child 0, item: int64
child 3, completed_shards: list<item: string>
child 0, item: string
child 4, failed_shards: struct<>
child 5, uploaded_shards: list<item: null>
child 0, item: null
child 6, pending_upload_shards: list<item: null>
child 0, item: null
child 7, failed_uploads: struct<>
child 8, parity: null
child 9, progress_path: string
parity: null
tensor_parallel_size: int64
batch_size: int64
output_schema: string
flash_attn_version: null
hf_repo_id: string
base_model: string
pooling: string
hf_path_prefix: string
total_rows: int64
gpu_memory_utilization: double
devices: list<item: string>
child 0, item: string
max_seq_length: int64
shard_size: int64
chunk_file: string
attention_backend: null
total_shards: int64
adapter_path: string
to
{'created_at': Value('string'), 'updated_at': Value('string'), 'chunk_file': Value('string'), 'base_model': Value('string'), 'adapter_path': Value('string'), 'hf_repo_id': Value('string'), 'hf_path_prefix': Value('string'), 'pooling': Value('string'), 'output_schema': Value('string'), 'max_seq_length': Value('int64'), 'batch_size': Value('int64'), 'shard_size': Value('int64'), 'total_rows': Value('int64'), 'total_shards': Value('int64'), 'completed_shards': List(Value('string')), 'failed_shards': {}, 'uploaded_shards': List(Value('null')), 'pending_upload_shards': List(Value('null')), 'failed_uploads': {}, 'tensor_parallel_size': Value('int64'), 'gpu_memory_utilization': Value('float64'), 'attention_backend': Value('null'), 'flash_attn_version': Value('null'), 'devices': List(Value('string')), 'workers': List({'worker_name': Value('string'), 'device': Value('string'), 'assigned_shards': List(Value('int64')), 'completed_shards': List(Value('string')), 'failed_shards': {}, 'uploaded_shards': List(Value('null')), 'pending_upload_shards': List(Value('null')), 'failed_uploads': {}, 'parity': Value('null'), 'progress_path': Value('string')}), 'parity': Value('null')}
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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