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
agent_name: string
description: string
core_identity: struct<role_summary: string, traits: list<item: string>, key_rule: string, responsibility: string>
child 0, role_summary: string
child 1, traits: list<item: string>
child 0, item: string
child 2, key_rule: string
child 3, responsibility: string
primary_responsibilities: list<item: struct<category: string, tasks: list<item: string>>>
child 0, item: struct<category: string, tasks: list<item: string>>
child 0, category: string
child 1, tasks: list<item: string>
child 0, item: string
commands: struct<format: string, example: struct<command: string, agent: string, task_id: string, description: (... 152 chars omitted)
child 0, format: string
child 1, example: struct<command: string, agent: string, task_id: string, description: string, context: string, output (... 34 chars omitted)
child 0, command: string
child 1, agent: string
child 2, task_id: string
child 3, description: string
child 4, context: string
child 5, output_format: string
child 6, priority: string
child 2, available_commands: list<item: struct<name: string, purpose: string, when: string>>
child 0, item: struct<name: string, purpose: string, when: string>
child 0, name: string
child 1, purpose: string
child 2, when: string
interaction_rules: struct<thinking: string, formatting: string, delegation_requirements: list<item: string>, result_han (... 39 chars omitted)
child 0, thinking: string
child 1, formatting: string
child 2, delegation_requirements: list<item: string>
child 0, item: string
child 3, result_handling: string
child 4, new_instruction: string
response_format: struct<structure: list<item: string>>
child 0, structure: list<item: string>
child 0, item: string
activation: string
startup_procedure: list<item: string>
child 0, item: string
behavior_note: string
mission_statement: string
usage: list<item: string>
child 0, item: string
title: string
filename: 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
core_principle: string
version: 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
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 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 299, 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
agent_name: string
description: string
core_identity: struct<role_summary: string, traits: list<item: string>, key_rule: string, responsibility: string>
child 0, role_summary: string
child 1, traits: list<item: string>
child 0, item: string
child 2, key_rule: string
child 3, responsibility: string
primary_responsibilities: list<item: struct<category: string, tasks: list<item: string>>>
child 0, item: struct<category: string, tasks: list<item: string>>
child 0, category: string
child 1, tasks: list<item: string>
child 0, item: string
commands: struct<format: string, example: struct<command: string, agent: string, task_id: string, description: (... 152 chars omitted)
child 0, format: string
child 1, example: struct<command: string, agent: string, task_id: string, description: string, context: string, output (... 34 chars omitted)
child 0, command: string
child 1, agent: string
child 2, task_id: string
child 3, description: string
child 4, context: string
child 5, output_format: string
child 6, priority: string
child 2, available_commands: list<item: struct<name: string, purpose: string, when: string>>
child 0, item: struct<name: string, purpose: string, when: string>
child 0, name: string
child 1, purpose: string
child 2, when: string
interaction_rules: struct<thinking: string, formatting: string, delegation_requirements: list<item: string>, result_han (... 39 chars omitted)
child 0, thinking: string
child 1, formatting: string
child 2, delegation_requirements: list<item: string>
child 0, item: string
child 3, result_handling: string
child 4, new_instruction: string
response_format: struct<structure: list<item: string>>
child 0, structure: list<item: string>
child 0, item: string
activation: string
startup_procedure: list<item: string>
child 0, item: string
behavior_note: string
mission_statement: string
usage: list<item: string>
child 0, item: string
title: string
filename: 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
core_principle: string
version: 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
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
| Template | Markdown | JSON |
|---|---|---|
| 🛠️ Pluralistic Repair | pluralistic-repair.md | pluralistic-repair.json |
| 🌱 Rick Ruben Agent | rick-ruben-agent.md | rick-ruben-agent.json |
| 🛡️👥 Agent Safety | agent-safety.md | agent-safety.json |
| 🧠 Brain Agent | brain-agent.md | brain-agent.json |
| 🔄 Refresh Perspective | refresh-perspective.md | refresh-perspective.json |
| 🦈 Swarm Tank | swarm-tank.md | swarm-tank.json |
| 🔄✨ Iterative Innovation | iterative-innovation.md | iterative-innovation.json |
| 🚀 Idea Rescue | idea-rescue.md | idea-rescue.json |
| ⚡ Idea Factory | idea-factory.md | idea-factory.json |
| 🌐 Cross Pollination | cross-pollination-engine.md | cross-pollination-engine.json |
| 🧪 MVE (Minimal Viable Experiment) | mve.md | minimal-viable-experiment.json |
| 🔮 Future Backcasting | future-backcasting.md | future-backcasting.json |
| ⚔️ Innovation Critique | innovation-critique.md | innovation-critique.json |
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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