Suggested readme changes

README.md → readme.md

@@ -265,18 +265,40 @@ configs:
   - split: test
     path: turkish/test-*
 ---
+
+
 <!-- adapted from https://github.com/huggingface/huggingface_hub/blob/v0.30.2/src/huggingface_hub/templates/datasetcard_template.md -->
-# XNLIV2
+
+
+<div align="center" style="padding: 40px 20px; background-color: white; border-radius: 12px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); max-width: 600px; margin: 0 auto;">
+  <h1 style="font-size: 3.5rem; color: #1a1a1a; margin: 0 0 20px 0; letter-spacing: 2px; font-weight: 700;">XNLIV2</h1>
+  <div style="font-size: 1.5rem; color: #4a4a4a; margin-bottom: 5px; font-weight: 300;">An <a href="https://github.com/embeddings-benchmark/mteb" style="color: #2c5282; font-weight: 600; text-decoration: none;" onmouseover="this.style.textDecoration='underline'" onmouseout="this.style.textDecoration='none'">MTEB</a> dataset</div>
+  <div style="font-size: 0.9rem; color: #2c5282; margin-top: 10px;">Massive Text Embedding Benchmark</div>
+</div>
 
 This is subset of 'XNLI 2.0: Improving XNLI dataset and performance on Cross Lingual Understanding' with languages that were not part of the original XNLI plus three (verified) languages that are not strongly covered in MTEB
 
-> This dataset is included as a task in [`mteb`](https://github.com/embeddings-benchmark/mteb).
 
-- Task category: t2t
-- Domains: ['Non-fiction', 'Fiction', 'Government', 'Written']
+<table align="center" style="border-collapse: collapse; margin: 20px auto;">
+  <tr>
+    <td style="padding: 8px; border: 1px solid #ddd; font-weight: bold; background-color: #f5f5f5;">Task category</td>
+    <td style="padding: 8px; border: 1px solid #ddd;">t2t: text-to-text</td>
+  </tr>
+  <tr>
+    <td style="padding: 8px; border: 1px solid #ddd; font-weight: bold; background-color: #f5f5f5;">Domains</td>
+    <td style="padding: 8px; border: 1px solid #ddd;">Non-fiction, Fiction, Government, Written</td>
+  </tr>
+  <tr>
+    <td style="padding: 8px; border: 1px solid #ddd; font-weight: bold; background-color: #f5f5f5;">Reference</td>
+    <td style="padding: 8px; border: 1px solid #ddd;"><a href="https://arxiv.org/pdf/2301.06527">https://arxiv.org/pdf/2301.06527</a></td>
+  </tr>
+</table>
+
 
 ## How to evaluate on this task
 
+You can evaluate an embedding model on this dataset using the following code:
+
 ```python
 import mteb
 
@@ -287,8 +309,7 @@ model = mteb.get_model(YOUR_MODEL)
 evaluator.run(model)
 ```
 
-<!-- Datasets want link to arxiv in readme to autolink dataset with paper -->
-Reference: https://arxiv.org/pdf/2301.06527
+To learn more about how to run models on `mteb` task check out the [GitHub repitory](https://github.com/embeddings-benchmark/mteb). 
 
 ## Citation
 
@@ -327,6 +348,23 @@ If you use this dataset, please cite the dataset as well as [mteb](https://githu
 ```
 
 # Dataset Statistics
+
+
+<details>
+  <summary> Dataset Statistics</summary>
+  <pre style="background-color: #f5f5f5; padding: 15px; border-radius: 5px; overflow-x: auto; margin: 10px 0;">
+
+The following code contains the descriptive statistics from the task. These can also be obtained using:
+
+```py
+import mteb
+
+task = mteb.get_task("XNLIV2")
+
+desc_stats = task.metadata.descriptive_stats
+```
+
+
 ```json
 {
     "test": {
@@ -640,4 +678,12 @@ If you use this dataset, please cite the dataset as well as [mteb](https://githu
         }
     }
 }
-```
+```
+
+  </pre>
+</details>
+
+
+---
+
+*This dataset card was automatically generated using [MTEB](https://github.com/embeddings-benchmark/mteb)*