Upload README.md

README.md

@@ -20,11 +20,13 @@ language:
     </div>  
 </div>
 
+## Introduction
+
 **mdbr-leaf-ir** is a compact high-performance text embedding model specifically designed for **information retrieval (IR)** tasks. 
 
 Enabling even greater efficiency, `mdbr-leaf-ir` supports [flexible asymmetric architectures](#asymmetric-retrieval-setup) and is robust to [vector quantization](#vector-quantization) and [MRL truncation](#mrl).
 
-If you are looking to perform other tasks such as classification, clustering, semantic sentence similarity, summarization, please check out our [`mdb-leaf-mt`](https://huggingface.co/MongoDB/mdb-leaf-mt) model.
+If you are looking to perform other tasks such as classification, clustering, semantic sentence similarity, summarization, please check out our [`mdbr-leaf-mt`](https://huggingface.co/MongoDB/mdbr-leaf-mt) model.
 
 **Note**: this model has been developed by MongoDB Research and is not part of MongoDB's commercial offerings.
 
@@ -39,8 +41,7 @@ A technical report detailing our proposed `LEAF` training procedure is [availabl
 * **MRL and quantization support**: embedding vectors generated by `mdbr-leaf-ir` compress well when truncated (MRL) and/or are stored using more efficient types like `int8` and `binary`.  [See below](#mrl) for more information.
 
   
-## Performance  
-  
+<!-- ## Performance  
 ### Benchmark Results  
 
 * Values are nDCG@10
@@ -58,7 +59,8 @@ A technical report detailing our proposed `LEAF` training procedure is [availabl
 | `BM25` | -- | 40.8 | 23.8 | 31.8 | 15.0 | 67.6 | 78.7 | 58.9 | 30.5 | 63.8 | 16.2 | 31.9 | 62.9 | 43.5 |  
 | `SPLADE v2` | 110M | 47.9 | 33.6 | 33.4 | 15.8 | 69.3 | 83.8 | 71.0 | 52.1 | 78.6 | 23.5 | 43.5 | **68.4** | 51.7 |  
 | `ColBERT v2` | 110M | 46.3 | 35.6 | 33.8 | 15.4 | 69.3 | 85.2 | 73.8 | 56.2 | 78.5 | 17.6 | **44.6** | 66.7 | 51.9 |  
-  
+-->
+
 ## Quickstart  
   
 ### Sentence Transformers  
@@ -250,6 +252,10 @@ print(f"* Similarities:\n{similarities}")
 #   [ 76174  99127]]
 ```
 
+## Evaluation
+
+Please refer to this <span style="color:red">TBD</span> script to replicate results (standard and asymmetric mode).
+The checkpoint used to produce the scores presented in the paper [is here](https://huggingface.co/MongoDB/mdbr-leaf-ir/commit/ea98995e96beac21b820aa8ad9afaa6fd29b243d).
 
 ## Citation