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
healthcare: struct<agent: string, proposals: list<item: struct<id: string, title: string, title_en: string, gap: (... 206 chars omitted)
child 0, agent: string
child 1, proposals: list<item: struct<id: string, title: string, title_en: string, gap: string, dataset: string, methodo (... 172 chars omitted)
child 0, item: struct<id: string, title: string, title_en: string, gap: string, dataset: string, methodology: strin (... 160 chars omitted)
child 0, id: string
child 1, title: string
child 2, title_en: string
child 3, gap: string
child 4, dataset: string
child 5, methodology: string
child 6, expected_contribution: string
child 7, target_journal: string
child 8, target_conference: string
child 9, references: list<item: string>
child 0, item: string
child 10, timeline_months: int64
child 11, difficulty: string
environment: struct<agent: string, proposals: list<item: struct<id: string, title: string, title_en: string, gap: (... 206 chars omitted)
child 0, agent: string
child 1, proposals: list<item: struct<id: string, title: string, title_en: string, gap: string, dataset: string, methodo (... 172 chars omitted)
child 0, item: struct<id: string, title: string, title_en: string, gap: string, dataset: string, methodology: strin (... 160 chars omitted)
child 0, id: string
child 1, title: string
child 2,
...
child 3, conferences: list<item: string>
child 0, item: string
child 4, research_gaps: list<item: string>
child 0, item: string
child 5, biology: struct<agent_name: string, expertise: string, journals: list<item: string>, conferences: list<item: (... 43 chars omitted)
child 0, agent_name: string
child 1, expertise: string
child 2, journals: list<item: string>
child 0, item: string
child 3, conferences: list<item: string>
child 0, item: string
child 4, research_gaps: list<item: string>
child 0, item: string
child 6, finance: struct<agent_name: string, expertise: string, journals: list<item: string>, conferences: list<item: (... 43 chars omitted)
child 0, agent_name: string
child 1, expertise: string
child 2, journals: list<item: string>
child 0, item: string
child 3, conferences: list<item: string>
child 0, item: string
child 4, research_gaps: list<item: string>
child 0, item: string
child 7, agriculture: struct<agent_name: string, expertise: string, journals: list<item: string>, conferences: list<item: (... 43 chars omitted)
child 0, agent_name: string
child 1, expertise: string
child 2, journals: list<item: string>
child 0, item: string
child 3, conferences: list<item: string>
child 0, item: string
child 4, research_gaps: list<item: string>
child 0, item: string
to
{'timestamp': Value('string'), 'total_agents': Value('int64'), 'total_journals': Value('int64'), 'total_research_gaps': Value('int64'), 'agents': {'healthcare': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'environment': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'social_sciences': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'computer_science': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'engineering': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'biology': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'finance': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'agriculture': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
healthcare: struct<agent: string, proposals: list<item: struct<id: string, title: string, title_en: string, gap: (... 206 chars omitted)
child 0, agent: string
child 1, proposals: list<item: struct<id: string, title: string, title_en: string, gap: string, dataset: string, methodo (... 172 chars omitted)
child 0, item: struct<id: string, title: string, title_en: string, gap: string, dataset: string, methodology: strin (... 160 chars omitted)
child 0, id: string
child 1, title: string
child 2, title_en: string
child 3, gap: string
child 4, dataset: string
child 5, methodology: string
child 6, expected_contribution: string
child 7, target_journal: string
child 8, target_conference: string
child 9, references: list<item: string>
child 0, item: string
child 10, timeline_months: int64
child 11, difficulty: string
environment: struct<agent: string, proposals: list<item: struct<id: string, title: string, title_en: string, gap: (... 206 chars omitted)
child 0, agent: string
child 1, proposals: list<item: struct<id: string, title: string, title_en: string, gap: string, dataset: string, methodo (... 172 chars omitted)
child 0, item: struct<id: string, title: string, title_en: string, gap: string, dataset: string, methodology: strin (... 160 chars omitted)
child 0, id: string
child 1, title: string
child 2,
...
child 3, conferences: list<item: string>
child 0, item: string
child 4, research_gaps: list<item: string>
child 0, item: string
child 5, biology: struct<agent_name: string, expertise: string, journals: list<item: string>, conferences: list<item: (... 43 chars omitted)
child 0, agent_name: string
child 1, expertise: string
child 2, journals: list<item: string>
child 0, item: string
child 3, conferences: list<item: string>
child 0, item: string
child 4, research_gaps: list<item: string>
child 0, item: string
child 6, finance: struct<agent_name: string, expertise: string, journals: list<item: string>, conferences: list<item: (... 43 chars omitted)
child 0, agent_name: string
child 1, expertise: string
child 2, journals: list<item: string>
child 0, item: string
child 3, conferences: list<item: string>
child 0, item: string
child 4, research_gaps: list<item: string>
child 0, item: string
child 7, agriculture: struct<agent_name: string, expertise: string, journals: list<item: string>, conferences: list<item: (... 43 chars omitted)
child 0, agent_name: string
child 1, expertise: string
child 2, journals: list<item: string>
child 0, item: string
child 3, conferences: list<item: string>
child 0, item: string
child 4, research_gaps: list<item: string>
child 0, item: string
to
{'timestamp': Value('string'), 'total_agents': Value('int64'), 'total_journals': Value('int64'), 'total_research_gaps': Value('int64'), 'agents': {'healthcare': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'environment': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'social_sciences': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'computer_science': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'engineering': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'biology': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'finance': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'agriculture': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': 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.
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