|
--- |
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language: |
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- en |
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license: mit |
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size_categories: |
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- 10K<n<100K |
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task_categories: |
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- question-answering |
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pretty_name: alignment-research-dataset |
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dataset_info: |
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features: |
|
- name: id |
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dtype: string |
|
- name: source |
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dtype: string |
|
- name: title |
|
dtype: string |
|
- name: text |
|
dtype: large_string |
|
- name: url |
|
dtype: string |
|
- name: date_published |
|
dtype: string |
|
- name: authors |
|
sequence: string |
|
- name: summary |
|
sequence: string |
|
- name: source_type |
|
dtype: string |
|
- name: book_title |
|
dtype: string |
|
- name: karma |
|
dtype: int32 |
|
- name: votes |
|
dtype: int32 |
|
- name: words |
|
dtype: int32 |
|
- name: comment_count |
|
dtype: int32 |
|
- name: tags |
|
sequence: string |
|
- name: modified_at |
|
dtype: string |
|
- name: alias |
|
dtype: string |
|
- name: data_last_modified |
|
dtype: string |
|
- name: abstract |
|
dtype: string |
|
- name: author_comment |
|
dtype: string |
|
- name: journal_ref |
|
dtype: string |
|
- name: doi |
|
dtype: string |
|
- name: primary_category |
|
dtype: string |
|
- name: categories |
|
sequence: string |
|
- name: initial_source |
|
dtype: string |
|
- name: bibliography_bib |
|
sequence: |
|
- name: title |
|
dtype: string |
|
config_name: all |
|
splits: |
|
- name: train |
|
num_bytes: 471644446 |
|
num_examples: 14271 |
|
download_size: 484827959 |
|
dataset_size: 471644446 |
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--- |
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# AI Alignment Research Dataset |
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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. |
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## Sources |
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Here are the list of sources along with sample contents: |
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- [agentmodel](https://agentmodels.org/) |
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- [agisf](https://course.aisafetyfundamentals.com/) - recommended readings from AGI Safety Fundamentals |
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- [aisafety.info](https://aisafety.info/) - Stampy's FAQ |
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- [alignmentforum](https://www.alignmentforum.org) |
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- [alignment_newsletter](https://rohinshah.com/alignment-newsletter/) |
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- [arbital](https://arbital.com/) |
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- [arxiv](https://arxiv.org/) - relevant research papers |
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- blogs - entire websites automatically scraped |
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- [AI Impacts](https://aiimpacts.org/) |
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- [AI Safety Camp](https://aisafety.camp/) |
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- [carado.moe](https://carado.moe/) |
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- [Cold Takes](https://www.cold-takes.com/) |
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- [DeepMind technical blogs](https://www.deepmind.com/blog-categories/technical-blogs) |
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- [DeepMind AI Safety Research](https://deepmindsafetyresearch.medium.com/) |
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- [EleutherAI](https://blog.eleuther.ai/) |
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- [generative.ink](https://generative.ink/posts/) |
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- [Gwern Branwen's blog](https://gwern.net/) |
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- [Jack Clark's Import AI](https://importai.substack.com/) |
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- [MIRI](https://intelligence.org/) |
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- [Jacob Steinhardt's blog](https://jsteinhardt.wordpress.com/) |
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- [ML Safety Newsletter](https://newsletter.mlsafety.org/) |
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- [Transformer Circuits Thread](https://transformer-circuits.pub/) |
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- [Open AI Research](https://openai.com/research/) |
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- [Victoria Krakovna's blog](https://vkrakovna.wordpress.com/) |
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- [Eliezer Yudkowsky's blog](https://www.yudkowsky.net/) |
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- [distill](https://distill.pub/) |
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- [eaforum](https://forum.effectivealtruism.org/) - selected posts |
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- [lesswrong](https://www.lesswrong.com/) - selected posts |
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- special_docs - individual documents curated from various resources |
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- [Make a suggestion](https://bit.ly/ard-suggestion) for sources not already in the dataset |
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- youtube - playlists & channels |
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- [AI Alignment playlist](https://www.youtube.com/playlist?list=PLCRVRLd2RhZTpdUdEzJjo3qhmX3y3skWA) and other lists |
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- [AI Explained](https://www.youtube.com/@aiexplained-official) |
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- [Evan Hubinger's AI Safety Talks](https://www.youtube.com/@aisafetytalks) |
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- [AI Safety Reading Group](https://www.youtube.com/@aisafetyreadinggroup/videos) |
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- [AiTech - TU Delft](https://www.youtube.com/@AiTechTUDelft/) |
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- [Rob Miles AI](https://www.youtube.com/@RobertMilesAI) |
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## Keys |
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All entries contain the following keys: |
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- `id` - string of unique identifier |
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- `source` - string of data source listed above |
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- `title` - string of document title of document |
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- `authors` - list of strings |
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- `text` - full text of document content |
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- `url` - string of valid link to text content |
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- `date_published` - in UTC format |
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Additional keys may be available depending on the source document. |
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## Usage |
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Execute the following code to download and parse the files: |
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```python |
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from datasets import load_dataset |
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data = load_dataset('StampyAI/alignment-research-dataset') |
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``` |
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To only get the data for a specific source, pass it in as the second argument, e.g.: |
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```python |
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from datasets import load_dataset |
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data = load_dataset('StampyAI/alignment-research-dataset', 'lesswrong') |
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``` |
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## Limitations and Bias |
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LessWrong posts have overweighted content on doom and existential risk, so please beware in training or finetuning generative language models on the dataset. |
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## Contributing |
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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). |
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## Rebuilding info |
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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: |
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datasets-cli test ./alignment-research-dataset --save_info --all_configs |
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## Citing the Dataset |
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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: |
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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). |
