Sign inGet started
Dataset · Hugging Face

nlpai-lab/agenthop

AgentHop AgentHop is a diagnostic benchmark for multi-step scientific question answering: 1,011 four-option multiple-choice questions grounded in citation chains over 7,205 arXiv papers from nine major computer-science venues (2022–2025). Each question is answerable only by reading specific sections of one or two of these papers; the agent reaches the answer-bearing papers by following references from a given seed paper. The dataset is paired with a four-axis decomposition… See the full description on the dataset page: https://huggingface.co/datasets/nlpai-lab/agenthop.

Author / organizationnlpai-lab
License (as declared)cc-by-4.0
Downloads209 (as reported by Hugging Face)
Likes2
Created4 May 2026
Last updated at source25 September 2026
agenticmulti-hopscientific-qabenchmarkarxiv
Embed this entry
<iframe src="https://silytics.si/embed/item/708183f1-adbf-486a-9832-e31fe48bc291" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from nlpai-lab

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.