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  splits:
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  - split: tasks
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  path: tasks.jsonl
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  splits:
 
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  - split: tasks
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  path: tasks.jsonl
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  ---
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+
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+ # ReplicationBench
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+ **arXiv**: [ReplicationBench: Can AI Agents Replicate Astrophysics Research Papers?](https://arxiv.org/abs/2510.24591)
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+
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+ **GitHub**: [https://github.com/Christine8888/replicationbench-release](https://github.com/Christine8888/replicationbench-release)
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+
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+ ## Dataset Description
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+ The ReplicationBench dataset contains 114 astrophysics research replication tasks spanning 20 research papers. The dataset includes:
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+ - Original and masked manuscript text
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+ - Metadata (title, abstract, publication info, etc.)
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+ - Pointers to datasets and dataset access instructions
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+ - Additional specifications from the authors
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+ - Execution requirements
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+ - Detailed descriptions and grading guidelines for each task
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Load papers
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+ papers_ds = load_dataset("ChristineYe8/replicationbench", split="papers")
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+
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+ # Load tasks
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+ tasks_ds = load_dataset("ChristineYe8/replicationbench", split="tasks")
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+ ```
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+
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+ You can load the dataset from HuggingFace into native ReplicationBench format using [this script](https://github.com/Christine8888/replicationbench-release/blob/main/src/dataset/hf/load_from_hf.py). However, if using RB's native formats, we recommend using the native data loading instead, described [here](https://github.com/Christine8888/replicationbench-release).
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+
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+ ## Citation
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+
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+ If you use ResearchBench in your research, please cite:
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+ ```bibtex
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+ @misc{ye2025replicationbenchaiagentsreplicate,
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+ title={ReplicationBench: Can AI Agents Replicate Astrophysics Research Papers?},
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+ author={Christine Ye and Sihan Yuan and Suchetha Cooray and Steven Dillmann and Ian L. V. Roque and Dalya Baron and Philipp Frank and Sergio Martin-Alvarez and Nolan Koblischke and Frank J Qu and Diyi Yang and Risa Wechsler and Ioana Ciuca},
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+ year={2025},
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+ eprint={2510.24591},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2510.24591},
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+ }
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+ ```
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+
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+ ## License
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+ MIT License