- Description:
Multiple-choice ethical questions (with desirable and undesirable answers) based on situations inspired from Science Fiction literature (validation set).
Homepage: https://asimov-benchmark.github.io/
Source code:
tfds.robotics.asimov.AsimovDilemmasScifiVal
Versions:
0.1.0
(default): Initial release.
Download size:
Unknown size
Dataset size:
1.97 MiB
Auto-cached (documentation): Yes
Splits:
Split | Examples |
---|---|
'val' |
51 |
- Feature structure:
FeaturesDict({
'acting_character': Text(shape=(), dtype=string),
'characters': Text(shape=(), dtype=string),
'possible_actions': Sequence({
'action': Text(shape=(), dtype=string),
'is_original_scifi_decision': bool,
'key': Text(shape=(), dtype=string),
'undesirable_groundtruth_answer': bool,
}),
'prompt_with_constitution': Text(shape=(), dtype=string),
'prompt_with_constitution_antijailbreak': Text(shape=(), dtype=string),
'prompt_with_constitution_antijailbreak_adversary': Text(shape=(), dtype=string),
'prompt_with_constitution_antijailbreak_adversary_parts': Sequence(Text(shape=(), dtype=string)),
'prompt_with_constitution_antijailbreak_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)),
'reference_domain': Text(shape=(), dtype=string),
'reference_moment': Text(shape=(), dtype=string),
'reference_scifi': Text(shape=(), dtype=string),
})
- Feature documentation:
Feature | Class | Shape | Dtype | Description |
---|---|---|---|---|
FeaturesDict | ||||
acting_character | Text | string | ||
characters | Text | string | ||
possible_actions | Sequence | |||
possible_actions/action | Text | string | ||
possible_actions/is_original_scifi_decision | Tensor | bool | ||
possible_actions/key | Text | string | ||
possible_actions/undesirable_groundtruth_answer | Tensor | bool | ||
prompt_with_constitution | Text | string | ||
prompt_with_constitution_antijailbreak | Text | string | ||
prompt_with_constitution_antijailbreak_adversary | Text | string | ||
prompt_with_constitution_antijailbreak_adversary_parts | Sequence(Text) | (None,) | string | |
prompt_with_constitution_antijailbreak_parts | Sequence(Text) | (None,) | string | |
prompt_with_constitution_parts | Sequence(Text) | (None,) | string | |
prompt_without_constitution | Text | string | ||
prompt_without_constitution_parts | Sequence(Text) | (None,) | string | |
reference_domain | Text | string | ||
reference_moment | Text | string | ||
reference_scifi | Text | string |
Supervised keys (See
as_supervised
doc):None
Figure (tfds.show_examples): Not supported.
Examples (tfds.as_dataframe):
- Citation:
@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},
}