README.md

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: bibliography_bib
      sequence:
        - name: title
          dtype: string
    - name: description
      dtype: string
  config_name: all
  splits:
    - name: train
      num_bytes: 411471024
      num_examples: 14163
  download_size: 423573134
  dataset_size: 411471024

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
• generative.ink
• gwern_blog
• importai
• jsteinhardt_blog
• lesswrong - selected posts
• miri - MIRI
• ml_safety_newsletter
• special_docs - This is a catch-all of various article, papers etc. that don't come from a single source.
• 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).