Add dataset card

README.md

@@ -193,7 +193,7 @@ tags:
 <!-- adapted from https://github.com/huggingface/huggingface_hub/blob/v0.30.2/src/huggingface_hub/templates/datasetcard_template.md -->
 
 <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;">MLSUMClusteringP2P.v2</h1>
+  <h1 style="font-size: 3.5rem; color: #1a1a1a; margin: 0 0 20px 0; letter-spacing: 2px; font-weight: 700;">MLSUMClusteringS2S.v2</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>
@@ -214,7 +214,7 @@ You can evaluate an embedding model on this dataset using the following code:
 ```python
 import mteb
 
-task = mteb.get_tasks(["MLSUMClusteringP2P.v2"])
+task = mteb.get_tasks(["MLSUMClusteringS2S.v2"])
 evaluator = mteb.MTEB(task)
 
 model = mteb.get_model(YOUR_MODEL)
@@ -268,20 +268,776 @@ The following code contains the descriptive statistics from the task. These can
 ```python
 import mteb
 
-task = mteb.get_task("MLSUMClusteringP2P.v2")
+task = mteb.get_task("MLSUMClusteringS2S.v2")
 
 desc_stats = task.metadata.descriptive_stats
 ```
 
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@@ -531,11 +1287,11 @@ desc_stats = task.metadata.descriptive_stats
         "hf_subset_descriptive_stats": {
             "de": {
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-                "number_of_characters": 8267329,
-                "min_text_length": 693,
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                 "average_labels_per_text": 1.0,
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@@ -581,11 +1337,11 @@ desc_stats = task.metadata.descriptive_stats
             },
             "fr": {
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-                "number_of_characters": 7885898,
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                 "average_labels_per_text": 1.0,
                 "max_labels_per_text": 333,
@@ -778,11 +1534,11 @@ desc_stats = task.metadata.descriptive_stats
             },
             "ru": {
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@@ -819,11 +1575,11 @@ desc_stats = task.metadata.descriptive_stats
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