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
subtitle: string
version: string
audience: string
core_mandate: string
the_gap: struct<description: string, prisons: list<item: string>, missing_layer: string>
child 0, description: string
child 1, prisons: list<item: string>
child 0, item: string
child 2, missing_layer: string
foundational_axioms: list<item: string>
child 0, item: string
core_operators: list<item: struct<name: string, signature: string, effect: string>>
child 0, item: struct<name: string, signature: string, effect: string>
child 0, name: string
child 1, signature: string
child 2, effect: string
operator_note: string
innovation_loop: struct<description: string, loop: string, surprise_metrics: list<item: string>>
child 0, description: string
child 1, loop: string
child 2, surprise_metrics: list<item: string>
child 0, item: string
swarm_coordination_rules: list<item: string>
child 0, item: string
forbidden_patterns: list<item: string>
child 0, item: string
seed_challenge: struct<description: string, steps: list<item: string>>
child 0, description: string
child 1, steps: list<item: string>
child 0, item: string
evolution_of_this_protocol: string
closing: string
description: string
mission_statement: string
rules: list<item: struct<number: int64, title: string, description: string>>
child 0, item: struct<number: int64, title: string, description: string>
child 0, number: int64
child 1, title: string
child 2, description: string
filename: string
core_principle: string
self_check: struct<description: string, questions: list<item: string>, action_if_yes: string>
child 0, description: string
child 1, questions: list<item: string>
child 0, item: string
child 2, action_if_yes: string
usage: list<item: string>
child 0, item: string
to
{'title': Value('string'), 'version': Value('string'), 'description': Value('string'), 'core_principle': Value('string'), 'rules': List({'number': Value('int64'), 'title': Value('string'), 'description': Value('string')}), 'self_check': {'description': Value('string'), 'questions': List(Value('string')), 'action_if_yes': Value('string')}, 'mission_statement': Value('string'), 'usage': List(Value('string')), 'filename': 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
title: string
subtitle: string
version: string
audience: string
core_mandate: string
the_gap: struct<description: string, prisons: list<item: string>, missing_layer: string>
child 0, description: string
child 1, prisons: list<item: string>
child 0, item: string
child 2, missing_layer: string
foundational_axioms: list<item: string>
child 0, item: string
core_operators: list<item: struct<name: string, signature: string, effect: string>>
child 0, item: struct<name: string, signature: string, effect: string>
child 0, name: string
child 1, signature: string
child 2, effect: string
operator_note: string
innovation_loop: struct<description: string, loop: string, surprise_metrics: list<item: string>>
child 0, description: string
child 1, loop: string
child 2, surprise_metrics: list<item: string>
child 0, item: string
swarm_coordination_rules: list<item: string>
child 0, item: string
forbidden_patterns: list<item: string>
child 0, item: string
seed_challenge: struct<description: string, steps: list<item: string>>
child 0, description: string
child 1, steps: list<item: string>
child 0, item: string
evolution_of_this_protocol: string
closing: string
description: string
mission_statement: string
rules: list<item: struct<number: int64, title: string, description: string>>
child 0, item: struct<number: int64, title: string, description: string>
child 0, number: int64
child 1, title: string
child 2, description: string
filename: string
core_principle: string
self_check: struct<description: string, questions: list<item: string>, action_if_yes: string>
child 0, description: string
child 1, questions: list<item: string>
child 0, item: string
child 2, action_if_yes: string
usage: list<item: string>
child 0, item: string
to
{'title': Value('string'), 'version': Value('string'), 'description': Value('string'), 'core_principle': Value('string'), 'rules': List({'number': Value('int64'), 'title': Value('string'), 'description': Value('string')}), 'self_check': {'description': Value('string'), 'questions': List(Value('string')), 'action_if_yes': Value('string')}, 'mission_statement': Value('string'), 'usage': List(Value('string')), 'filename': 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.
InnovateSwarm Multi-Agent Prompts
A collection of innovation based ready-to-use multi-agent coordination templates built for the Agent Era.
Available Templates
How to Use
from datasets import load_dataset
# Load the full dataset
dataset = load_dataset("InnovateSwarm/innovateswarm-prompts")
# Example: Print the Swarm Tank prompt
print(dataset["train"][0]["prompt"])
# Links
Main Website: https://innovateswarm.com
Prompts JSON Index: https://innovateswarm.com/prompts-json
GitHub: https://github.com/InnovateSwarm/InnovateSwarm-Instructions
Built for agents. Feel free to fork, modify, and share your results.
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