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
title: string
id: string
licenses: list<item: struct<name: string>>
child 0, item: struct<name: string>
child 0, name: string
notes: string
stage2_path_contract: struct<train: string, test: string, unseen_validation: struct<vqa-rad: string, slake-vqa-english: st (... 65 chars omitted)
child 0, train: string
child 1, test: string
child 2, unseen_validation: struct<vqa-rad: string, slake-vqa-english: string, path-vqa: string>
child 0, vqa-rad: string
child 1, slake-vqa-english: string
child 2, path-vqa: string
child 3, vision_model: string
child 4, llm_model: string
dataset_reports: struct<>
raw_data_only: bool
created_at_utc: timestamp[s]
models: struct<medsiglip-448: string, qwen3.5-9b: string>
child 0, medsiglip-448: string
child 1, qwen3.5-9b: string
datasets: struct<vl-health: string, vqa-rad: string, slake-vqa-english: string, path-vqa: string>
child 0, vl-health: string
child 1, vqa-rad: string
child 2, slake-vqa-english: string
child 3, path-vqa: string
embed_image_bytes_mode: string
kaggle_id: string
cache_dir: string
split_settings: struct<vl_health_source_split: string, vl_health_train_samples: int64, vl_health_test_samples: int64 (... 95 chars omitted)
child 0, vl_health_source_split: string
child 1, vl_health_train_samples: int64
child 2, vl_health_test_samples: int64
child 3, validation_samples_per_dataset: int64
child 4, split_seed: int64
child 5, max_vl_health_source_samples: null
model_reports: struct<medsiglip-448: struct<local_name: string, hf_model_id: string, path: string, file_count: int6 (... 433 chars omitted)
child 0, medsiglip-448: struct<local_name: string, hf_model_id: string, path: string, file_count: int64, total_bytes: int64, (... 148 chars omitted)
child 0, local_name: string
child 1, hf_model_id: string
child 2, path: string
child 3, file_count: int64
child 4, total_bytes: int64
child 5, has_config_json: bool
child 6, weight_file_count: int64
child 7, sample_weight_files: list<item: string>
child 0, item: string
child 8, suffixes: list<item: string>
child 0, item: string
child 9, warnings: list<item: null>
child 0, item: null
child 1, qwen3.5-9b: struct<local_name: string, hf_model_id: string, path: string, file_count: int64, total_bytes: int64, (... 148 chars omitted)
child 0, local_name: string
child 1, hf_model_id: string
child 2, path: string
child 3, file_count: int64
child 4, total_bytes: int64
child 5, has_config_json: bool
child 6, weight_file_count: int64
child 7, sample_weight_files: list<item: string>
child 0, item: string
child 8, suffixes: list<item: string>
child 0, item: string
child 9, warnings: list<item: null>
child 0, item: null
to
{'created_at_utc': Value('timestamp[s]'), 'kaggle_id': Value('string'), 'raw_data_only': Value('bool'), 'datasets': {'vl-health': Value('string'), 'vqa-rad': Value('string'), 'slake-vqa-english': Value('string'), 'path-vqa': Value('string')}, 'models': {'medsiglip-448': Value('string'), 'qwen3.5-9b': Value('string')}, 'embed_image_bytes_mode': Value('string'), 'cache_dir': Value('string'), 'split_settings': {'vl_health_source_split': Value('string'), 'vl_health_train_samples': Value('int64'), 'vl_health_test_samples': Value('int64'), 'validation_samples_per_dataset': Value('int64'), 'split_seed': Value('int64'), 'max_vl_health_source_samples': Value('null')}, 'stage2_path_contract': {'train': Value('string'), 'test': Value('string'), 'unseen_validation': {'vqa-rad': Value('string'), 'slake-vqa-english': Value('string'), 'path-vqa': Value('string')}, 'vision_model': Value('string'), 'llm_model': Value('string')}, 'dataset_reports': {}, 'model_reports': {'medsiglip-448': {'local_name': Value('string'), 'hf_model_id': Value('string'), 'path': Value('string'), 'file_count': Value('int64'), 'total_bytes': Value('int64'), 'has_config_json': Value('bool'), 'weight_file_count': Value('int64'), 'sample_weight_files': List(Value('string')), 'suffixes': List(Value('string')), 'warnings': List(Value('null'))}, 'qwen3.5-9b': {'local_name': Value('string'), 'hf_model_id': Value('string'), 'path': Value('string'), 'file_count': Value('int64'), 'total_bytes': Value('int64'), 'has_config_json': Value('bool'), 'weight_file_count': Value('int64'), 'sample_weight_files': List(Value('string')), 'suffixes': List(Value('string')), 'warnings': List(Value('null'))}}, 'notes': Value('string')}
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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
title: string
id: string
licenses: list<item: struct<name: string>>
child 0, item: struct<name: string>
child 0, name: string
notes: string
stage2_path_contract: struct<train: string, test: string, unseen_validation: struct<vqa-rad: string, slake-vqa-english: st (... 65 chars omitted)
child 0, train: string
child 1, test: string
child 2, unseen_validation: struct<vqa-rad: string, slake-vqa-english: string, path-vqa: string>
child 0, vqa-rad: string
child 1, slake-vqa-english: string
child 2, path-vqa: string
child 3, vision_model: string
child 4, llm_model: string
dataset_reports: struct<>
raw_data_only: bool
created_at_utc: timestamp[s]
models: struct<medsiglip-448: string, qwen3.5-9b: string>
child 0, medsiglip-448: string
child 1, qwen3.5-9b: string
datasets: struct<vl-health: string, vqa-rad: string, slake-vqa-english: string, path-vqa: string>
child 0, vl-health: string
child 1, vqa-rad: string
child 2, slake-vqa-english: string
child 3, path-vqa: string
embed_image_bytes_mode: string
kaggle_id: string
cache_dir: string
split_settings: struct<vl_health_source_split: string, vl_health_train_samples: int64, vl_health_test_samples: int64 (... 95 chars omitted)
child 0, vl_health_source_split: string
child 1, vl_health_train_samples: int64
child 2, vl_health_test_samples: int64
child 3, validation_samples_per_dataset: int64
child 4, split_seed: int64
child 5, max_vl_health_source_samples: null
model_reports: struct<medsiglip-448: struct<local_name: string, hf_model_id: string, path: string, file_count: int6 (... 433 chars omitted)
child 0, medsiglip-448: struct<local_name: string, hf_model_id: string, path: string, file_count: int64, total_bytes: int64, (... 148 chars omitted)
child 0, local_name: string
child 1, hf_model_id: string
child 2, path: string
child 3, file_count: int64
child 4, total_bytes: int64
child 5, has_config_json: bool
child 6, weight_file_count: int64
child 7, sample_weight_files: list<item: string>
child 0, item: string
child 8, suffixes: list<item: string>
child 0, item: string
child 9, warnings: list<item: null>
child 0, item: null
child 1, qwen3.5-9b: struct<local_name: string, hf_model_id: string, path: string, file_count: int64, total_bytes: int64, (... 148 chars omitted)
child 0, local_name: string
child 1, hf_model_id: string
child 2, path: string
child 3, file_count: int64
child 4, total_bytes: int64
child 5, has_config_json: bool
child 6, weight_file_count: int64
child 7, sample_weight_files: list<item: string>
child 0, item: string
child 8, suffixes: list<item: string>
child 0, item: string
child 9, warnings: list<item: null>
child 0, item: null
to
{'created_at_utc': Value('timestamp[s]'), 'kaggle_id': Value('string'), 'raw_data_only': Value('bool'), 'datasets': {'vl-health': Value('string'), 'vqa-rad': Value('string'), 'slake-vqa-english': Value('string'), 'path-vqa': Value('string')}, 'models': {'medsiglip-448': Value('string'), 'qwen3.5-9b': Value('string')}, 'embed_image_bytes_mode': Value('string'), 'cache_dir': Value('string'), 'split_settings': {'vl_health_source_split': Value('string'), 'vl_health_train_samples': Value('int64'), 'vl_health_test_samples': Value('int64'), 'validation_samples_per_dataset': Value('int64'), 'split_seed': Value('int64'), 'max_vl_health_source_samples': Value('null')}, 'stage2_path_contract': {'train': Value('string'), 'test': Value('string'), 'unseen_validation': {'vqa-rad': Value('string'), 'slake-vqa-english': Value('string'), 'path-vqa': Value('string')}, 'vision_model': Value('string'), 'llm_model': Value('string')}, 'dataset_reports': {}, 'model_reports': {'medsiglip-448': {'local_name': Value('string'), 'hf_model_id': Value('string'), 'path': Value('string'), 'file_count': Value('int64'), 'total_bytes': Value('int64'), 'has_config_json': Value('bool'), 'weight_file_count': Value('int64'), 'sample_weight_files': List(Value('string')), 'suffixes': List(Value('string')), 'warnings': List(Value('null'))}, 'qwen3.5-9b': {'local_name': Value('string'), 'hf_model_id': Value('string'), 'path': Value('string'), 'file_count': Value('int64'), 'total_bytes': Value('int64'), 'has_config_json': Value('bool'), 'weight_file_count': Value('int64'), 'sample_weight_files': List(Value('string')), 'suffixes': List(Value('string')), 'warnings': List(Value('null'))}}, 'notes': Value('string')}
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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