MTBench: Added example figure for weather dataset

Author: gaukhar-n

app/projects/mtbench/assets/weather_example.png

@@ -51,6 +51,10 @@ The news-driven QA task includes two sub-tasks: correlation prediction and multi
 
 ![Figure 4. An Example of Multi-choice QA and Correlation Prediction on Finance Dataset |scale=0.8](./assets/QA_sample.png)
 
+Figure 5 illustrates examples of the aforementioned tasks using the weather dataset.
+
+![Figure 5. An Example of Technical Indicator Prediction, Trend Prediction and Multi-Choice QA on Weather Dataset |scale=0.7](./assets/weather_example.png)
+
 Various state-of-the-art large language models (LLMs) were evaluated on MTBench to measure their ability to link news with time-series trends (see **Leaderboard**). The results reveal key challenges—models struggle with long-term pattern recognition, cause-and-effect relationships, and seamlessly combining insights from text and numbers.
 
 ## Leaderboard
@@ -63,7 +67,7 @@ Various state-of-the-art large language models (LLMs) were evaluated on MTBench
 </details>
 
 <details>
-<summary>Leaderboard Trend Prediction</summary>
+<summary>Leaderboard for Trend Prediction</summary>
 <Table2/>
 </details>