README.md

---
license: mit
task_categories:
- question-answering
language:
- en
size_categories:
- 10K<n<100K
pretty_name: alignment-research-dataset
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---
# AI Alignment Research Dataset

The AI Alignment Research Dataset is a collection of documents related to AI Alignment and Safety from various books, research papers, and alignment related blog posts. This is a work in progress. Components are still undergoing a cleaning process to be updated more regularly.

## Sources

The following list of sources may change and items may be renamed:

- [agentmodels](https://agentmodels.org/)
- [aiimpacts](https://aiimpacts.org/)
- [aisafety.camp](https://aisafety.camp/)
- [aisafety.info](https://aisafety.info/)
- [alignmentforum](https://www.alignmentforum.org)
- [alignment_newsletter](https://rohinshah.com/alignment-newsletter/)
- [arbital](https://arbital.com/)
- arxiv - alignment research papers from [arxiv](https://arxiv.org/)
- audio_transcripts - transcripts from interviews with various researchers and other audio recordings
- [carado.moe](https://carado.moe/)
- [cold_takes](https://www.cold-takes.com/)
- [deepmind_blog](https://deepmindsafetyresearch.medium.com/)
- [distill](https://distill.pub/)
- [eaforum](https://forum.effectivealtruism.org/) - selected posts
- gdocs
- gdrive_ebooks - books include [Superintelligence](https://www.goodreads.com/book/show/20527133-superintelligence), [Human Compatible](https://www.goodreads.com/book/show/44767248-human-compatible), [Life 3.0](https://www.goodreads.com/book/show/34272565-life-3-0), [The Precipice](https://www.goodreads.com/book/show/50485582-the-precipice), and others
- [generative.ink](https://generative.ink/posts/)
- [gwern_blog](https://gwern.net/)
- [importai](https://importai.substack.com)
- [jsteinhardt_blog](https://jsteinhardt.wordpress.com/)
- [lesswrong](https://www.lesswrong.com/) - selected posts
- markdown.ebooks
- [miri](https://intelligence.org/) - MIRI
- [ml_safety_newsletter](https://newsletter.mlsafety.org)
- nonarxiv_papers - other alignment research papers
- [qualiacomputing](https://qualiacomputing.com/)
- reports
- [vkrakovna_blog](https://vkrakovna.wordpress.com)
- [waitbutwhy](https://waitbutwhy.com/)
- [yudkowsky_blog](https://www.yudkowsky.net/)

## Keys

Not all of the entries contain the same keys, but they all have the following:

- `id` - unique identifier
- `source` - based on the data source listed in the previous section
- `title` - title of document
- `text` - full text of document content
- `url` - some values may be `'n/a'`, still being updated
- `date_published` - some `'n/a'`
- `authors` - list of author names, may be empty
- `summary` - list of human written summaries from various newsletters, may be empty

The values of the keys are still being cleaned up for consistency. Additional keys are available depending on the source document.

## Usage

Execute the following code to download and parse the files:

```python
from datasets import load_dataset
data = load_dataset('StampyAI/alignment-research-dataset')
```

To only get the data for a specific source, pass it in as the second argument, e.g.:

```python
from datasets import load_dataset
data = load_dataset('StampyAI/alignment-research-dataset', 'lesswrong')
```

## Limitations and Bias

LessWrong posts have overweighted content on doom and existential risk, so please beware in training or finetuning generative language models on the dataset.

## Contributing

The scraper to generate this dataset is open-sourced on [GitHub](https://github.com/StampyAI/alignment-research-dataset) and currently maintained by volunteers at StampyAI / AI Safety Info. [Learn more](https://coda.io/d/AI-Safety-Info_dfau7sl2hmG/Get-involved_susRF#_lufSr) or join us on [Discord](https://discord.gg/vjFSCDyMCy).

## Rebuilding info

This README contains info about the number of rows and their features which should be rebuilt each time datasets get changed. To do so, run:

    datasets-cli test ./alignment-research-dataset --save_info --all_configs

## Citing the Dataset

For more information, here is the [paper](https://arxiv.org/abs/2206.02841) and [LessWrong](https://www.lesswrong.com/posts/FgjcHiWvADgsocE34/a-descriptive-not-prescriptive-overview-of-current-ai) post. Please use the following citation when using the dataset:

Kirchner, J. H., Smith, L., Thibodeau, J., McDonnell, K., and Reynolds, L. "Understanding AI alignment research: A Systematic Analysis." arXiv preprint arXiv:2022.4338861 (2022).