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size_categories:
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- 10K<n<100K
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- en
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size_categories:
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- 10K<n<100K
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pretty_name: ARD
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---
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# AI Alignment Research Dataset
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This dataset is based on [alignment-research-dataset](https://github.com/moirage/alignment-research-dataset).
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For more information about the dataset, have a look at the [paper](https://arxiv.org/abs/2206.02841) or [LessWrong](https://www.lesswrong.com/posts/FgjcHiWvADgsocE34/a-descriptive-not-prescriptive-overview-of-current-ai) post.
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It is currently maintained and kept up-to-date by volunteers at StampyAI / AI Safety Info.
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## Sources
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The important thing here is that not all of the dataset entries contain all the same keys.
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They all have the keys: id, source, title, text, and url
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Other keys are available depending on the source document.
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1. `source`: indicates the data sources:
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- agentmodels
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- aiimpacts.org
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- aipulse.org
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- aisafety.camp
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- arbital
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- arxiv_papers
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- audio_transcripts
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- carado.moe
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- cold.takes
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- deepmind.blog
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- distill
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- eaforum
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- **gdocs**
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- **gdrive_ebooks**
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- generative.ink
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- gwern_blog
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- intelligence.org
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- jsteinhardt
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- lesswrong
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- **markdown.ebooks**
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- nonarxiv_papers
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- qualiacomputing.com
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- **reports**
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- stampy
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- vkrakovna
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- waitbutwhy
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- yudkowsky.net
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2. `alignment_text`: This is label specific to the arXiv papers. We added papers to the dataset using Allen AI's SPECTER model and included all the papers that got a confidence score of over 75%. However, since we could not verify with certainty that those papers where about alignment, we've decided to create the `alignment_text` key with the value `"pos"` when we manually labeled it as an alignment text and `"unlabeled"` when we have not labeled it yet. Additionally, we've only included the `text` for the `"pos"` entries, not the `"unlabeled"` entries.
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## Contributing
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Join us at [StampyAI](https://coda.io/d/AI-Safety-Info_dfau7sl2hmG/Get-involved_susRF#_lufSr).
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## Citing the Dataset
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Please use the following citation when using our 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).
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