asimov_multimodal_auto_val
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(Image, context, instruction) triplets generated from real images (from RoboVQA
dataset) which are modified to contain undesirable elements, generated
instructions can be desirable or undesirable (validation set).
FeaturesDict({
'image': Image(shape=(None, None, 3), dtype=uint8),
'instructions': Sequence({
'context': Text(shape=(), dtype=string),
'instruction': Text(shape=(), dtype=string),
'prompt_with_constitution': Text(shape=(), dtype=string),
'prompt_with_constitution_chain_of_thought': Text(shape=(), dtype=string),
'prompt_with_constitution_chain_of_thought_antijailbreak': Text(shape=(), dtype=string),
'prompt_with_constitution_chain_of_thought_antijailbreak_adversary': Text(shape=(), dtype=string),
'prompt_with_constitution_chain_of_thought_antijailbreak_adversary_parts': Sequence(Text(shape=(), dtype=string)),
'prompt_with_constitution_chain_of_thought_antijailbreak_parts': Sequence(Text(shape=(), dtype=string)),
'prompt_with_constitution_chain_of_thought_parts': Sequence(Text(shape=(), dtype=string)),
'prompt_with_constitution_parts': Sequence(Text(shape=(), dtype=string)),
'prompt_without_constitution': Text(shape=(), dtype=string),
'prompt_without_constitution_parts': Sequence(Text(shape=(), dtype=string)),
'undesirable_groundtruth_answer': bool,
}),
'original_image': Image(shape=(None, None, 3), dtype=uint8),
})
Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
image |
Image |
(None, None, 3) |
uint8 |
|
instructions |
Sequence |
|
|
|
instructions/context |
Text |
|
string |
|
instructions/instruction |
Text |
|
string |
|
instructions/prompt_with_constitution |
Text |
|
string |
|
instructions/prompt_with_constitution_chain_of_thought |
Text |
|
string |
|
instructions/prompt_with_constitution_chain_of_thought_antijailbreak |
Text |
|
string |
|
instructions/prompt_with_constitution_chain_of_thought_antijailbreak_adversary |
Text |
|
string |
|
instructions/prompt_with_constitution_chain_of_thought_antijailbreak_adversary_parts |
Sequence(Text) |
(None,) |
string |
|
instructions/prompt_with_constitution_chain_of_thought_antijailbreak_parts |
Sequence(Text) |
(None,) |
string |
|
instructions/prompt_with_constitution_chain_of_thought_parts |
Sequence(Text) |
(None,) |
string |
|
instructions/prompt_with_constitution_parts |
Sequence(Text) |
(None,) |
string |
|
instructions/prompt_without_constitution |
Text |
|
string |
|
instructions/prompt_without_constitution_parts |
Sequence(Text) |
(None,) |
string |
|
instructions/undesirable_groundtruth_answer |
Tensor |
|
bool |
|
original_image |
Image |
(None, None, 3) |
uint8 |
|
@article{sermanet2025asimov,
author = {Pierre Sermanet and Anirudha Majumdar and Alex Irpan and Dmitry Kalashnikov and Vikas Sindhwani},
title = {Generating Robot Constitutions & Benchmarks for Semantic Safety},
journal = {arXiv preprint arXiv:2503.08663},
url = {https://arxiv.org/abs/2503.08663},
year = {2025},
}
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-03-15 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-15 UTC."],[],[],null,["# asimov_multimodal_auto_val\n\n\u003cbr /\u003e\n\n- **Description**:\n\n(Image, context, instruction) triplets generated from real images (from RoboVQA\ndataset) which are modified to contain undesirable elements, generated\ninstructions can be desirable or undesirable (validation set).\n\n- **Homepage** :\n \u003chttps://asimov-benchmark.github.io/\u003e\n\n- **Source code** :\n [`tfds.robotics.asimov.AsimovMultimodalAutoVal`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/robotics/asimov/asimov.py)\n\n- **Versions**:\n\n - **`0.1.0`** (default): Initial release.\n- **Download size** : `Unknown size`\n\n- **Dataset size** : `29.03 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n Yes\n\n- **Splits**:\n\n| Split | Examples |\n|---------|----------|\n| `'val'` | 50 |\n\n- **Feature structure**:\n\n FeaturesDict({\n 'image': Image(shape=(None, None, 3), dtype=uint8),\n 'instructions': Sequence({\n 'context': Text(shape=(), dtype=string),\n 'instruction': Text(shape=(), dtype=string),\n 'prompt_with_constitution': Text(shape=(), dtype=string),\n 'prompt_with_constitution_chain_of_thought': Text(shape=(), dtype=string),\n 'prompt_with_constitution_chain_of_thought_antijailbreak': Text(shape=(), dtype=string),\n 'prompt_with_constitution_chain_of_thought_antijailbreak_adversary': Text(shape=(), dtype=string),\n 'prompt_with_constitution_chain_of_thought_antijailbreak_adversary_parts': Sequence(Text(shape=(), dtype=string)),\n 'prompt_with_constitution_chain_of_thought_antijailbreak_parts': Sequence(Text(shape=(), dtype=string)),\n 'prompt_with_constitution_chain_of_thought_parts': Sequence(Text(shape=(), dtype=string)),\n 'prompt_with_constitution_parts': Sequence(Text(shape=(), dtype=string)),\n 'prompt_without_constitution': Text(shape=(), dtype=string),\n 'prompt_without_constitution_parts': Sequence(Text(shape=(), dtype=string)),\n 'undesirable_groundtruth_answer': bool,\n }),\n 'original_image': Image(shape=(None, None, 3), dtype=uint8),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|--------------------------------------------------------------------------------------|----------------|-----------------|--------|-------------|\n| | FeaturesDict | | | |\n| image | Image | (None, None, 3) | uint8 | |\n| instructions | Sequence | | | |\n| instructions/context | Text | | string | |\n| instructions/instruction | Text | | string | |\n| instructions/prompt_with_constitution | Text | | string | |\n| instructions/prompt_with_constitution_chain_of_thought | Text | | string | |\n| instructions/prompt_with_constitution_chain_of_thought_antijailbreak | Text | | string | |\n| instructions/prompt_with_constitution_chain_of_thought_antijailbreak_adversary | Text | | string | |\n| instructions/prompt_with_constitution_chain_of_thought_antijailbreak_adversary_parts | Sequence(Text) | (None,) | string | |\n| instructions/prompt_with_constitution_chain_of_thought_antijailbreak_parts | Sequence(Text) | (None,) | string | |\n| instructions/prompt_with_constitution_chain_of_thought_parts | Sequence(Text) | (None,) | string | |\n| instructions/prompt_with_constitution_parts | Sequence(Text) | (None,) | string | |\n| instructions/prompt_without_constitution | Text | | string | |\n| instructions/prompt_without_constitution_parts | Sequence(Text) | (None,) | string | |\n| instructions/undesirable_groundtruth_answer | Tensor | | bool | |\n| original_image | Image | (None, None, 3) | uint8 | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `None`\n\n- **Figure**\n ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n Not supported.\n\n- **Examples**\n ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\n- **Citation**:\n\n @article{sermanet2025asimov,\n author = {Pierre Sermanet and Anirudha Majumdar and Alex Irpan and Dmitry Kalashnikov and Vikas Sindhwani},\n title = {Generating Robot Constitutions & Benchmarks for Semantic Safety},\n journal = {arXiv preprint arXiv:2503.08663},\n url = {https://arxiv.org/abs/2503.08663},\n year = {2025},\n }"]]