docs: update llm readme (#188)

* docs: update llm readme

* markdown

examples/open_llm_leaderboard/README.md

@@ -1,23 +1,35 @@
 # Open LLM Leaderboard
 
-This example downloads data from the [Open LLM Leaderboard][1] and ingests it
-into a Zeno Project.
-There are four tasks in the leaderboard, for each task, there is one notebook
-to upload your data.
-
-You can configure which models to upload data for.
+Use Zeno to visualize the data and model outputs of the [Open LLM Leaderboard][1]!
+There is a notebook for uploading the raw task data and model results for each
+of the four tasks in the leaderboard.
+The notebooks re-use the outputs from the leaderboard so you don't have to
+run any inference to explore the results.
+
+You can pick which model results to upload by passing in the org/model strings
+into the notebooks from
+the
+[Leaderboard Details](https://huggingface.co/datasets/open-llm-leaderboard/details/tree/main)
+dataset.
+
+> Explore our
+> [example report](https://hub.zenoml.com/report/a13x/What%20does%20the%20OpenLLM%20Leaderboard%20measure%3F)
+> to get an idea of what the resulting data will look like.
 
 ## Setup
 
-To run this example, you'll need to install the requirements.
+To run this example, first install the requirements:
 
 ```bash
 pip install -r requirements.txt
 ```
 
-You also need to add an environment variable named `ZENO_API_KEY` that contains
-your API key to be able to upload data to Zeno.
+You'll then need to get an API key from Zeno Hub.
+Create an account at [https://hub.zenoml.com](https://hub.zenoml.com) and navigate
+to [your account page](https://hub.zenoml.com/account) to get an API key.
+Add this key as an environment variable, `ZENO_API_KEY`.
 
-Then, simply run any of the notebooks.
+You can now run the notebooks to create a Zeno Project for any of the
+four benchmark datasets.
 
 [1]: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard