BuRabea/v2v-autonomous-driving-qa
V2V & Autonomous Driving QA Dataset This dataset contains processed research papers focused on V2V communication, autonomous driving, sensor fusion, ADAS, and related fields.It provides structured text sections and automatically generated question–answer (QA) pairs, making it useful for fine-tuning language models, evaluation, or RAG pipelines. 📊 Dataset Summary ~22,457 papers processed Sections extracted: abstract, introduction, conclusion 55k+ QA pairs… See the full description on the dataset page: https://huggingface.co/datasets/BuRabea/v2v-autonomous-driving-qa.
| Author / organization | BuRabea |
|---|---|
| License (as declared) | mit |
| Downloads | 714 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 16 September 2025 |
| Last updated at source | 22 September 2025 |
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