metadata

language:
  - en
license: mit
size_categories:
  - 10K<n<100K
task_categories:
  - question-answering
pretty_name: alignment-research-dataset
dataset_info:
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  - config_name: aiimpacts
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  - config_name: arxiv
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  - config_name: audio_transcripts
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  - config_name: carado.moe
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  - config_name: cold_takes
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  - config_name: deepmind_blog
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  - config_name: distill
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  - config_name: eaforum
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  - config_name: gdocs
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  - config_name: generative.ink
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    download_size: 449941
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  - config_name: gwern_blog
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  - config_name: html_articles
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  - config_name: importai
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  - config_name: jsteinhardt_blog
    features:
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  - config_name: lesswrong
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  - config_name: miri
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  - config_name: ml_safety_newsletter
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  - config_name: nonarxiv_papers
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  - config_name: pdfs
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  - config_name: qualiacomputing
    features:
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  - config_name: reports
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  - config_name: vkrakovna_blog
    features:
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  - config_name: yudkowsky_blog
    features:
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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
aiimpacts
aisafety.camp
aisafety.info
alignmentforum
alignment_newsletter
arbital
arxiv - alignment research papers from arxiv
audio_transcripts - transcripts from interviews with various researchers and other audio recordings
carado.moe
cold_takes
deepmind_blog
distill
eaforum - selected posts
gdocs
gdrive_ebooks - books include Superintelligence, Human Compatible, Life 3.0, The Precipice, and others
generative.ink
gwern_blog
importai
jsteinhardt_blog
lesswrong - selected posts
markdown.ebooks
miri - MIRI
ml_safety_newsletter
nonarxiv_papers - other alignment research papers
qualiacomputing
reports
vkrakovna_blog
waitbutwhy
yudkowsky_blog

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:

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.:

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 and currently maintained by volunteers at StampyAI / AI Safety Info. Learn more or join us on Discord.

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 and LessWrong 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).