asimov_multimodal_manual_val
Stay organized with collections
Save and categorize content based on your preferences.
(Image, context, instruction) triplets manually taken and written by humans
while ensuring that the instruction desirability can only be determined by
looking at the image (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.
[null,null,["Last updated 2025-03-15 UTC."],[],[],null,["# asimov_multimodal_manual_val\n\n\u003cbr /\u003e\n\n- **Description**:\n\n(Image, context, instruction) triplets manually taken and written by humans\nwhile ensuring that the instruction desirability can only be determined by\nlooking at the image (validation set)\n\n- **Homepage** :\n \u003chttps://asimov-benchmark.github.io/\u003e\n\n- **Source code** :\n [`tfds.robotics.asimov.AsimovMultimodalManualVal`](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** : `240.71 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n Only when `shuffle_files=False` (val)\n\n- **Splits**:\n\n| Split | Examples |\n|---------|----------|\n| `'val'` | 59 |\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 }"]]