Update README.md

README.md

@@ -1,3 +1,38 @@
 ---
+language:
+- en
 license: apache-2.0
+task_categories:
+- text-generation
+tags:
+- rag
+- retrieval-augmented-generation
 ---
+
+# SPARK Training Data
+
+This repository contains the training data for **SPARK**, presented in the paper [SPARK: Adaptive Parametric Knowledge Participation for Faithful Retrieval-Augmented Generation](https://arxiv.org/abs/2606.27786).
+
+- **Repository:** https://github.com/OpenBMB/SPARK
+- **Paper:** https://arxiv.org/abs/2606.27786
+
+## Dataset Description
+
+SPARK is a lightweight framework for resolving knowledge conflicts in retrieval-augmented generation (RAG). With the backbone LLM frozen, its participation policy dynamically regulates layer-wise FFN contributions, determining when and to what extent parametric knowledge participates during generation.
+This dataset contains the training data synthesized with [FlashRAG](https://github.com/RUC-NLPIR/FlashRAG) using [MRQA-Shared-Task-2019](https://github.com/mrqa/MRQA-Shared-Task-2019) to train the participation policy of SPARK.
+
+## Citation
+
+If you find this work useful, please cite our paper:
+
+```bibtex
+@misc{li2026sparkadaptiveparametricknowledge,
+      title={SPARK: Adaptive Parametric Knowledge Participation for Faithful Retrieval-Augmented Generation}, 
+      author={Ruochang Li and Pengcheng Huang and Zhenghao Liu and Yukun Yan and Huiyuan Xie and Yu Gu and Ge Yu and Maosong Sun},
+      year={2026},
+      eprint={2606.27786},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2606.27786}, 
+}
+```