ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab
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Abstract (arXiv)
The challenge of replicating research results has posed a significant impediment to the field of molecular biology. The advent of modern intelligent systems has led to notable progress in various domains. Consequently, we embarked on an investigation of intelligent monitoring systems as a means of tackling the issue of the reproducibility crisis. Specifically, we first curate a comprehensive multimodal dataset, named ProBio, as an initial step towards this objective. This dataset comprises fine-grained hierarchical annotations intended for the purpose of studying activity understanding in BioLab. Next, we devise two challenging benchmarks, transparent solution tracking and multimodal action recognition, to emphasize the unique characteristics and difficulties associated with activity understanding in BioLab settings. Finally, we provide a thorough experimental evaluation of contemporary video understanding models and highlight their limitations in this specialized domain to identify potential avenues for future research. We hope ProBio with associated benchmarks may garner increased focus on modern AI techniques in the realm of molecular biology.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 52 of its 109 references that are in the map. First posted on arXiv 1 Nov 2023.
Builds on
52 of 109 references.
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Citing papers per year: 2024: 2; 2025: 3; 2026: 1.
6 papers.
- 2024AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agentscited by 32
- 2025Decompositional Neural Scene Reconstruction with Generative Diffusion Priorcited by 30
- 2025BioProBench: A Corpus and Benchmark for Biological Protocol Reasoning in Autonomous Sciencecited by 14
- 2025HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenescited by 2
- 2024BioVL-QR: Egocentric Biochemical Vision-and-Language Dataset Using Micro QR Codescited by 1
- 2026In-Context Model Predictive Generation: Open-Vocabulary Motion Synthesis from Language Models to Physicscited by 0
- 2026In-Context Model Predictive Generation: Open-Vocabulary Motion Synthesis from Language Models to Physics25 Jun 2026
- 2025HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes19 Aug 2025
- 2025BioProBench: A Corpus and Benchmark for Biological Protocol Reasoning in Autonomous Science11 May 2025
- 2025Decompositional Neural Scene Reconstruction with Generative Diffusion Prior19 Mar 2025
- 2024BioVL-QR: Egocentric Biochemical Vision-and-Language Dataset Using Micro QR Codes4 Apr 2024
- 2024AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents19 Mar 2024