metadata

language:
  - en
license: mit
size_categories:
  - 10K<n<100K
task_categories:
  - question-answering
pretty_name: alignment-research-dataset
dataset_info:
  features:
    - name: id
      dtype: string
    - name: source
      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

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

Here are the list of sources along with sample contents:

agentmodel
agisf - recommended readings from AGI Safety Fundamentals
aisafety.info - Stampy's FAQ
alignmentforum
alignment_newsletter
arbital
arxiv - relevant research papers
blogs - entire websites automatically scraped
distill
eaforum - selected posts
lesswrong - selected posts
special_docs - individual documents curated from various resources
- Make a suggestion for sources not already in the dataset
youtube - playlists & channels
- AI Alignment playlist and other lists
- AI Explained
- Evan Hubinger's AI Safety Talks
- AI Safety Reading Group
- AiTech - TU Delft
- Rob Miles AI

Keys

All entries contain the following keys:

id - string of unique identifier
source - string of data source listed above
title - string of document title of document
authors - list of strings
text - full text of document content
url - string of valid link to text content
date_published - in UTC format

Additional keys may be 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).