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
image_id: int64
image_url: string
width: int64
height: int64
sg: struct<objects: struct<1061006: struct<synsets: list<item: string>, h: int64, object_id: int64, merg (... 127982 chars omitted)
child 0, objects: struct<1061006: struct<synsets: list<item: string>, h: int64, object_id: int64, merged_object_ids: l (... 127352 chars omitted)
child 0, 1061006: struct<synsets: list<item: string>, h: int64, object_id: int64, merged_object_ids: list<item: null>, (... 89 chars omitted)
child 0, synsets: list<item: string>
child 0, item: string
child 1, h: int64
child 2, object_id: int64
child 3, merged_object_ids: list<item: null>
child 0, item: null
child 4, names: list<item: string>
child 0, item: string
child 5, w: int64
child 6, y: int64
child 7, x: int64
child 8, attributes: list<item: string>
child 0, item: string
child 1, 1061036: struct<synsets: list<item: string>, h: int64, object_id: int64, merged_object_ids: list<item: null>, (... 89 chars omitted)
child 0, synsets: list<item: string>
child 0, item: string
child 1, h: int64
child 2, object_id: int64
child 3, merged_object_ids: list<item: null>
child 0, item: null
child 4, names: list<item: string>
child 0, item: string
child 5, w: int64
child 6, y: int64
...
child 3, unanswerable: double
child 7, gt_violations: list<item: null>
child 0, item: null
child 1, persona: struct<n_conversations: int64, n_rounds_total: int64, avg_rounds_per_conv: double, avg_question_char (... 417 chars omitted)
child 0, n_conversations: int64
child 1, n_rounds_total: int64
child 2, avg_rounds_per_conv: double
child 3, avg_question_chars: double
child 4, avg_question_words: double
child 5, q_type_counts: struct<regular: int64, follow-up: int64, adversarial: int64, unanswerable: int64>
child 0, regular: int64
child 1, follow-up: int64
child 2, adversarial: int64
child 3, unanswerable: int64
child 6, q_type_pct: struct<regular: double, follow-up: double, adversarial: double, unanswerable: double>
child 0, regular: double
child 1, follow-up: double
child 2, adversarial: double
child 3, unanswerable: double
child 7, gt_violations: list<item: null>
child 0, item: null
child 8, persona: struct<records: int64, persona_missing: int64, persona_distinct: int64, meta_persona_hits: list<item (... 38 chars omitted)
child 0, records: int64
child 1, persona_missing: int64
child 2, persona_distinct: int64
child 3, meta_persona_hits: list<item: null>
child 0, item: null
child 4, examples: list<item: string>
child 0, item: string
to
{'Qwen2.5-VL-7B-Instruct': {'orig': {'n_conversations': Value('int64'), 'n_rounds_total': Value('int64'), 'avg_rounds_per_conv': Value('float64'), 'avg_question_chars': Value('float64'), 'avg_question_words': Value('float64'), 'q_type_counts': {'regular': Value('int64'), 'follow-up': Value('int64'), 'adversarial': Value('int64'), 'unanswerable': Value('int64')}, 'q_type_pct': {'regular': Value('float64'), 'follow-up': Value('float64'), 'adversarial': Value('float64'), 'unanswerable': Value('float64')}, 'gt_violations': List(Value('null'))}, 'persona': {'n_conversations': Value('int64'), 'n_rounds_total': Value('int64'), 'avg_rounds_per_conv': Value('float64'), 'avg_question_chars': Value('float64'), 'avg_question_words': Value('float64'), 'q_type_counts': {'regular': Value('int64'), 'follow-up': Value('int64'), 'adversarial': Value('int64'), 'unanswerable': Value('int64')}, 'q_type_pct': {'regular': Value('float64'), 'follow-up': Value('float64'), 'adversarial': Value('float64'), 'unanswerable': Value('float64')}, 'gt_violations': List(Value('null')), 'persona': {'records': Value('int64'), 'persona_missing': Value('int64'), 'persona_distinct': Value('int64'), 'meta_persona_hits': List(Value('null')), 'examples': List(Value('string'))}}}, 'Qwen3-VL-8B-Instruct': {'orig': {'n_conversations': Value('int64'), 'n_rounds_total': Value('int64'), 'avg_rounds_per_conv': Value('float64'), 'avg_question_chars': Value('float64'), 'avg_question_words': Value('float64'), 'q_type_counts': {
...
e': Value('float64')}, 'gt_violations': List(Value('null')), 'persona': {'records': Value('int64'), 'persona_missing': Value('int64'), 'persona_distinct': Value('int64'), 'meta_persona_hits': List(Value('null')), 'examples': List(Value('string'))}}}, 'llava-1.5-7b-hf': {'orig': {'n_conversations': Value('int64'), 'n_rounds_total': Value('int64'), 'avg_rounds_per_conv': Value('float64'), 'avg_question_chars': Value('float64'), 'avg_question_words': Value('float64'), 'q_type_counts': {'regular': Value('int64'), 'follow-up': Value('int64'), 'adversarial': Value('int64'), 'unanswerable': Value('int64')}, 'q_type_pct': {'regular': Value('float64'), 'follow-up': Value('float64'), 'adversarial': Value('float64'), 'unanswerable': Value('float64')}, 'gt_violations': List(Value('null'))}, 'persona': {'n_conversations': Value('int64'), 'n_rounds_total': Value('int64'), 'avg_rounds_per_conv': Value('float64'), 'avg_question_chars': Value('float64'), 'avg_question_words': Value('float64'), 'q_type_counts': {'regular': Value('int64'), 'follow-up': Value('int64'), 'adversarial': Value('int64'), 'unanswerable': Value('int64')}, 'q_type_pct': {'regular': Value('float64'), 'follow-up': Value('float64'), 'adversarial': Value('float64'), 'unanswerable': Value('float64')}, 'gt_violations': List(Value('null')), 'persona': {'records': Value('int64'), 'persona_missing': Value('int64'), 'persona_distinct': Value('int64'), 'meta_persona_hits': List(Value('null')), 'examples': List(Value('string'))}}}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
image_id: int64
image_url: string
width: int64
height: int64
sg: struct<objects: struct<1061006: struct<synsets: list<item: string>, h: int64, object_id: int64, merg (... 127982 chars omitted)
child 0, objects: struct<1061006: struct<synsets: list<item: string>, h: int64, object_id: int64, merged_object_ids: l (... 127352 chars omitted)
child 0, 1061006: struct<synsets: list<item: string>, h: int64, object_id: int64, merged_object_ids: list<item: null>, (... 89 chars omitted)
child 0, synsets: list<item: string>
child 0, item: string
child 1, h: int64
child 2, object_id: int64
child 3, merged_object_ids: list<item: null>
child 0, item: null
child 4, names: list<item: string>
child 0, item: string
child 5, w: int64
child 6, y: int64
child 7, x: int64
child 8, attributes: list<item: string>
child 0, item: string
child 1, 1061036: struct<synsets: list<item: string>, h: int64, object_id: int64, merged_object_ids: list<item: null>, (... 89 chars omitted)
child 0, synsets: list<item: string>
child 0, item: string
child 1, h: int64
child 2, object_id: int64
child 3, merged_object_ids: list<item: null>
child 0, item: null
child 4, names: list<item: string>
child 0, item: string
child 5, w: int64
child 6, y: int64
...
child 3, unanswerable: double
child 7, gt_violations: list<item: null>
child 0, item: null
child 1, persona: struct<n_conversations: int64, n_rounds_total: int64, avg_rounds_per_conv: double, avg_question_char (... 417 chars omitted)
child 0, n_conversations: int64
child 1, n_rounds_total: int64
child 2, avg_rounds_per_conv: double
child 3, avg_question_chars: double
child 4, avg_question_words: double
child 5, q_type_counts: struct<regular: int64, follow-up: int64, adversarial: int64, unanswerable: int64>
child 0, regular: int64
child 1, follow-up: int64
child 2, adversarial: int64
child 3, unanswerable: int64
child 6, q_type_pct: struct<regular: double, follow-up: double, adversarial: double, unanswerable: double>
child 0, regular: double
child 1, follow-up: double
child 2, adversarial: double
child 3, unanswerable: double
child 7, gt_violations: list<item: null>
child 0, item: null
child 8, persona: struct<records: int64, persona_missing: int64, persona_distinct: int64, meta_persona_hits: list<item (... 38 chars omitted)
child 0, records: int64
child 1, persona_missing: int64
child 2, persona_distinct: int64
child 3, meta_persona_hits: list<item: null>
child 0, item: null
child 4, examples: list<item: string>
child 0, item: string
to
{'Qwen2.5-VL-7B-Instruct': {'orig': {'n_conversations': Value('int64'), 'n_rounds_total': Value('int64'), 'avg_rounds_per_conv': Value('float64'), 'avg_question_chars': Value('float64'), 'avg_question_words': Value('float64'), 'q_type_counts': {'regular': Value('int64'), 'follow-up': Value('int64'), 'adversarial': Value('int64'), 'unanswerable': Value('int64')}, 'q_type_pct': {'regular': Value('float64'), 'follow-up': Value('float64'), 'adversarial': Value('float64'), 'unanswerable': Value('float64')}, 'gt_violations': List(Value('null'))}, 'persona': {'n_conversations': Value('int64'), 'n_rounds_total': Value('int64'), 'avg_rounds_per_conv': Value('float64'), 'avg_question_chars': Value('float64'), 'avg_question_words': Value('float64'), 'q_type_counts': {'regular': Value('int64'), 'follow-up': Value('int64'), 'adversarial': Value('int64'), 'unanswerable': Value('int64')}, 'q_type_pct': {'regular': Value('float64'), 'follow-up': Value('float64'), 'adversarial': Value('float64'), 'unanswerable': Value('float64')}, 'gt_violations': List(Value('null')), 'persona': {'records': Value('int64'), 'persona_missing': Value('int64'), 'persona_distinct': Value('int64'), 'meta_persona_hits': List(Value('null')), 'examples': List(Value('string'))}}}, 'Qwen3-VL-8B-Instruct': {'orig': {'n_conversations': Value('int64'), 'n_rounds_total': Value('int64'), 'avg_rounds_per_conv': Value('float64'), 'avg_question_chars': Value('float64'), 'avg_question_words': Value('float64'), 'q_type_counts': {
...
e': Value('float64')}, 'gt_violations': List(Value('null')), 'persona': {'records': Value('int64'), 'persona_missing': Value('int64'), 'persona_distinct': Value('int64'), 'meta_persona_hits': List(Value('null')), 'examples': List(Value('string'))}}}, 'llava-1.5-7b-hf': {'orig': {'n_conversations': Value('int64'), 'n_rounds_total': Value('int64'), 'avg_rounds_per_conv': Value('float64'), 'avg_question_chars': Value('float64'), 'avg_question_words': Value('float64'), 'q_type_counts': {'regular': Value('int64'), 'follow-up': Value('int64'), 'adversarial': Value('int64'), 'unanswerable': Value('int64')}, 'q_type_pct': {'regular': Value('float64'), 'follow-up': Value('float64'), 'adversarial': Value('float64'), 'unanswerable': Value('float64')}, 'gt_violations': List(Value('null'))}, 'persona': {'n_conversations': Value('int64'), 'n_rounds_total': Value('int64'), 'avg_rounds_per_conv': Value('float64'), 'avg_question_chars': Value('float64'), 'avg_question_words': Value('float64'), 'q_type_counts': {'regular': Value('int64'), 'follow-up': Value('int64'), 'adversarial': Value('int64'), 'unanswerable': Value('int64')}, 'q_type_pct': {'regular': Value('float64'), 'follow-up': Value('float64'), 'adversarial': Value('float64'), 'unanswerable': Value('float64')}, 'gt_violations': List(Value('null')), 'persona': {'records': Value('int64'), 'persona_missing': Value('int64'), 'persona_distinct': Value('int64'), 'meta_persona_hits': List(Value('null')), 'examples': List(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.
No dataset card yet
- Downloads last month
- 50