Add the figure illustrating the summary writing process

_data/meta.yml

@@ -57,8 +57,14 @@ index:
       The Multi-LexSum dataset is a collection of 9,280 such legal case summaries.
       Multi-LexSum is distinct from other datasets in its **<span class="is-underlined">multiple target summaries, each at a different granularity</span>** (ranging from one-sentence "extreme" summaries to multi-paragraph narrations of over five hundred words). 
       It presents a challenging multi-document summarization task given **<span class="is-underlined">the long length of the source documents</span>**, often exceeding two hundred pages per case.
-      Unlike other summarization datasets that are (semi-)automatically curated, Multi-LexSum consists of **<span class="is-underlined">expert-authored summaries</span>**: the experts---lawyers and law students---are trained to follow carefully created guidelines, and their work is reviewed by an additional expert to ensure quality.
 
+      Unlike other summarization datasets that are (semi-)automatically curated, Multi-LexSum consists of **<span class="is-underlined">expert-authored summaries</span>**: the experts---lawyers and law students---are trained to follow carefully created guidelines, and their work is reviewed by an additional expert to ensure quality. 
+
+      <div style="max-width: 50%">
+        <img src="/assets/summary-writing.png"
+            alt="The summary writing process in Multi-LexSum">
+      </div>
+
       For more details on how the dataset is created, please refer to the [dataset sheet](https://docs.google.com/document/d/1bkPQeoiwjh8CVL5usJD77W2qBXmRFu1-BJUDXb1Vm6U/edit?usp=sharing) and [our paper](https://arxiv.org/abs/2206.10883). 
 
     license: |