Add dataset card for REPRO-Bench

README.md

@@ -0,0 +1,56 @@
+---
+task_categories:
+- image-text-to-text
+language:
+- en
+tags:
+- reproducibility
+- social-science
+- agents
+---
+
+# REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research?
+
+This repository contains the REPRO-Bench dataset, introduced in the paper [REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research?](https://huggingface.co/papers/2507.18901).
+
+REPRO-Bench is a novel benchmark designed to evaluate the capability of agentic AI systems in automating the assessment of social science paper reproducibility. It addresses limitations of existing benchmarks by providing a collection of 112 task instances, each representing a social science paper with a publicly available reproduction report. The benchmark features end-to-end evaluation tasks on reproducibility with complexity comparable to real-world assessments, encompassing diverse data formats and programming languages.
+
+**Official Codebase:** [https://github.com/chuxuanx/REPRO-Bench](https://github.com/chuxuanx/REPRO-Bench)
+
+## 📦 Dataset Structure
+
+The REPRO-Bench dataset includes:
+
+*   112 task instances (original paper PDFs + corresponding code and data)
+*   Gold-standard reproducibility annotations
+*   Public reproduction reports
+
+## 🚀 Getting Started
+
+The REPRO-Bench dataset is hosted on Hugging Face. To access and clone the dataset:
+
+```bash
+git clone https://huggingface.co/datasets/chuxuan/REPRO-Bench
+cd REPRO-Bench
+git lfs pull
+```
+
+To run the representative AI agents evaluated in the paper (for advanced usage, refer to the official codebase):
+
+### Run SWE-Agent
+
+```bash
+bash SWE-Agent/run_all.sh
+```
+
+### Run AutoGPT
+
+```bash
+bash AutoGPT/classic/original_autogpt/run_all.sh
+```
+
+### Run CORE-Agent
+
+```bash
+bash CORE-Agent/classic/original_autogpt/run_all.sh
+```