Multi Hop Question Answering Dataset

via “multi-hop question answering dataset”

113K questions requiring multi-hop reasoning across Wikipedia articles.

Unique: HotpotQA uniquely combines multi-hop reasoning with supporting facts, making it ideal for training models that need to extract answers from interconnected information.

vs others: Compared to other QA datasets, HotpotQA emphasizes multi-hop reasoning, providing a more complex challenge for model training.

via “question-answering with multi-hop reasoning”

text-generation model by undefined. 72,05,785 downloads.

Unique: Qwen3-4B is instruction-tuned on chain-of-thought reasoning datasets, enabling multi-hop Q&A without explicit reasoning modules; smaller model size allows deployment in resource-constrained Q&A systems

vs others: Comparable multi-hop reasoning to larger models through instruction-tuning; faster inference enables real-time Q&A without cloud latency