
# Dataset Card for ETHICS

This is the data from [Aligning AI With Shared Human Values](https://arxiv.org/pdf/2008.02275) by Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch,  Jerry Li, Dawn Song, and Jacob Steinhardt, published at ICLR 2021.
For more information, see the [Github Repo](https://github.com/hendrycks/ethics).

## Dataset Summary

This dataset provides ethics-based tasks for evaluating language models for AI alignment.

## Loading Data

To load this data, you can use HuggingFace datasets and the dataloader script.
```
from datasets import load_dataset
load_dataset("hendrycks/ethics", "commonsense")
```

Where `commonsense` is one of the following sections: commonsense, deontology, justice, utilitarianism, and virtue.

### Citation Information
```
@article{hendrycks2021ethics,
  title={Aligning AI With Shared Human Values},
  author={Dan Hendrycks and Collin Burns and Steven Basart and Andrew Critch and Jerry Li and Dawn Song and Jacob Steinhardt},
  journal={Proceedings of the International Conference on Learning Representations (ICLR)},
  year={2021}
}
```

language:en license:mit AI Alignment arxiv:2008.02275 region:us
{"language": "en", "license": "mit", "dataset_info": [{"config_name": "default", "features": [{"name": "label", "dtype": "int64"}, {"name": "input", "dtype": "string"}]}, {"config_name": "commonsense", "features": [{"name": "label", "dtype": "int32"}, {"name": "input", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 14429921, "num_examples": 13910}, {"name": "validation", "num_bytes": 3148616, "num_examples": 3885}, {"name": "test", "num_bytes": 3863068, "num_examples": 3964}], "download_size": 21625153, "dataset_size": 21441605}, {"config_name": "deontology", "features": [{"name": "label", "dtype": "int32"}, {"name": "scenario", "dtype": "string"}, {"name": "excuse", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1854277, "num_examples": 18164}, {"name": "validation", "num_bytes": 369318, "num_examples": 3596}, {"name": "test", "num_bytes": 359268, "num_examples": 3536}], "download_size": 2384007, "dataset_size": 2582863}, {"config_name": "justice", "features": [{"name": "label", "dtype": "int32"}, {"name": "scenario", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2423889, "num_examples": 21791}, {"name": "validation", "num_bytes": 297935, "num_examples": 2704}, {"name": "test", "num_bytes": 228008, "num_examples": 2052}], "download_size": 2837375, "dataset_size": 2949832}, {"config_name": "utilitarianism", "features": [{"name": "baseline", "dtype": "string"}, {"name": "less_pleasant", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2186713, "num_examples": 13737}, {"name": "validation", "num_bytes": 730391, "num_examples": 4807}, {"name": "test", "num_bytes": 668429, "num_examples": 4271}], "download_size": 3466564, "dataset_size": 3585533}, {"config_name": "virtue", "features": [{"name": "label", "dtype": "int32"}, {"name": "scenario", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2605021, "num_examples": 28245}, {"name": "validation", "num_bytes": 467254, "num_examples": 4975}, {"name": "test", "num_bytes": 452491, "num_examples": 4780}], "download_size": 3364070, "dataset_size": 3524766}], "tags": ["AI Alignment"]}
TAGS
#language-English #license-mit #AI Alignment #arxiv-2008.02275 #region-us 


# Dataset Card for ETHICS

This is the data from Aligning AI With Shared Human Values by Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch,  Jerry Li, Dawn Song, and Jacob Steinhardt, published at ICLR 2021.
For more information, see the Github Repo.

## Dataset Summary

This dataset provides ethics-based tasks for evaluating language models for AI alignment.

## Loading Data

To load this data, you can use HuggingFace datasets and the dataloader script.


Where 'commonsense' is one of the following sections: commonsense, deontology, justice, utilitarianism, and virtue.




# Dataset Card for ETHICS

This is the data from Aligning AI With Shared Human Values by Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch,  Jerry Li, Dawn Song, and Jacob Steinhardt, published at ICLR 2021.
For more information, see the Github Repo. ## Dataset Summary

This dataset provides ethics-based tasks for evaluating language models for AI alignment. ## Loading Data

To load this data, you can use HuggingFace datasets and the dataloader script.


Where 'commonsense' is one of the following sections: commonsense, deontology, justice, utilitarianism, and virtue.
TAGS
#language-English #license-mit #AI Alignment #arxiv-2008.02275 #region-us 
 # Dataset Card for ETHICS

This is the data from Aligning AI With Shared Human Values by Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch,  Jerry Li, Dawn Song, and Jacob Steinhardt, published at ICLR 2021.
For more information, see the Github Repo. ## Dataset Summary

This dataset provides ethics-based tasks for evaluating language models for AI alignment. ## Loading Data

To load this data, you can use HuggingFace datasets and the dataloader script.


Where 'commonsense' is one of the following sections: commonsense, deontology, justice, utilitarianism, and virtue.
passage: TAGS
#language-English #license-mit #AI Alignment #arxiv-2008.02275 #region-us 
# Dataset Card for ETHICS

This is the data from Aligning AI With Shared Human Values by Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch,  Jerry Li, Dawn Song, and Jacob Steinhardt, published at ICLR 2021.
For more information, see the Github Repo.## Dataset Summary

This dataset provides ethics-based tasks for evaluating language models for AI alignment.## Loading Data

To load this data, you can use HuggingFace datasets and the dataloader script.


Where 'commonsense' is one of the following sections: commonsense, deontology, justice, utilitarianism, and virtue.