# YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles

arXiv: https://arxiv.org/abs/1807.11227 · HTML: https://mlsanity.com/paper/1807.11227/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Jul 2018.

## Built on by (most cited first, 2 of 2)

- [Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions](https://mlsanity.com/paper/2604.12138/) (2026)
- [Exploring acceptance of autonomous vehicle policies using KeyBERT and SNA: Targeting engineering students](https://mlsanity.com/paper/2307.09014/) (2023)

## Abstract (arXiv)

With one billion monthly viewers, and millions of users discussing and sharing opinions, comments below YouTube videos are rich sources of data for opinion mining and sentiment analysis. We introduce the YouTube AV 50K dataset, a freely-available collections of more than 50,000 YouTube comments and metadata below autonomous vehicle (AV)-related videos. We describe its creation process, its content and data format, and discuss its possible usages. Especially, we do a case study of the first self-driving car fatality to evaluate the dataset, and show how we can use this dataset to better understand public attitudes toward self-driving cars and public reactions to the accident. Future developments of the dataset are also discussed.