Update README.md

README.md

@@ -26,4 +26,47 @@ configs:
       - split: corpus
         path: story/corpus.jsonl
 ---
-# MSRS: Evaluating Multi-Source Retrieval-Augmented Generation
+# MSRS: Evaluating Multi-Source Retrieval-Augmented Generation
+
+#### [**📄 Paper**](https://arxiv.org/abs/2508.20867) | [**💻 Code**](https://github.com/yale-nlp/MSRS)
+
+This paper introduces a scalable framework for constructing evaluation benchmarks that challenge RAG systems to integrate information across distinct sources and generate long-form responses. Using our framework, we build two new benchmarks on Multi-Source Retrieval and Synthesis: MSRS-Story and MSRS-Meet.
+
+## 🚀 Quickstart
+
+Load the corpora for MSRS-Story and MSRS-Meet:
+```py
+from datasets import load_dataset
+
+story_corpus = load_dataset("yale-nlp/MSRS", "story-corpus", split="corpus")
+meeting_corpus = load_dataset("yale-nlp/MSRS", "meeting-corpus", split="corpus")
+```
+
+Corpus Dataset Example:
+
+```js
+{
+    "id": // Unique ID for the document
+    "text": // Document text
+}
+```
+
+Load the query-answer pairs for MSRS-Story and MSRS-Meet (available splits: `train`, `test`, and `validation`):
+
+```py
+from datasets import load_dataset
+
+story_qa = load_dataset("yale-nlp/MSRS", "story-qa")
+meeting_qa = load_dataset("yale-nlp/MSRS", "meeting-qa")
+```
+
+QA Dataset Example:
+
+```js
+{
+    "id": // Unique ID for the query
+    "query": // Query text
+    "gold_documents": // List of gold document IDs
+    "answer": // List of answer summaries
+}
+```