Add dataset card with paper link, task category, and usage instructions

README.md

@@ -1,3 +1,41 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+task_categories:
+- text-retrieval
+---
+
+# QAMPARI Wikipedia 2021 Index
+
+This repository contains the prebuilt Wikipedia 2021 index dataset used in the paper [SPADER: Step-wise Peer Advantage with Diversity-Aware Exploration Rewards for Multi-Answer Question Answering](https://huggingface.co/papers/2606.00593).
+
+- **Repository:** [https://github.com/KhanCold/spader](https://github.com/KhanCold/spader)
+- **Paper:** [arXiv:2606.00593](https://arxiv.org/abs/2606.00593)
+
+## Dataset Description
+
+This dataset provides the Wikipedia 2021 index used by SPADER's local HTTP retrieval service to evaluate multi-answer question answering tasks on benchmarks like QAMPARI.
+
+## Dataset Usage
+
+To download and extract the prebuilt Wikipedia index, you can run the following commands:
+
+```bash
+mkdir -p data
+wget "https://huggingface.co/datasets/KhanCold/QAMPARI_wikipedia_2021/resolve/main/QAMPARI_wikipedia_2021.tar" \
+  -O data/QAMPARI_wikipedia_2021.tar
+tar -xf data/QAMPARI_wikipedia_2021.tar -C data
+```
+
+## Citation
+
+```bibtex
+@misc{shi2026spaderstepwisepeeradvantage,
+      title={SPADER: Step-wise Peer Advantage with Diversity-Aware Exploration Rewards for Multi-Answer Question Answering}, 
+      author={Qiming Shi and Zhaolu Kang and Yunfan Zhou and Di Weng and Yingcai Wu},
+      year={2026},
+      eprint={2606.00593},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2606.00593}, 
+}
+```