docs: mention and link to MLEB

README.md

@@ -70,7 +70,7 @@ configs:
 
 This dataset is intended to stress test the ability of information retrieval, zero-shot classification, and NLI models to identify a broad range of common types of contractual clauses based solely on their definition, without prior examples.
 
-To make evaluation with this dataset as easy as possible, it is formatted in the [Massive Text Embedding Benchmark (MTEB)](https://github.com/embeddings-benchmark/mteb) information retrieval dataset format.
+This dataset forms part of the [Massive Legal Embeddings Benchmark (MLEB)](https://isaacus.com/mleb), the largest, most diverse, and most comprehensive benchmark for legal text embedding models. 
 
 ## Structure 🗂️
 As per the MTEB information retrieval dataset format, this dataset comprises three splits, `default`, `corpus` and `queries`.
@@ -137,6 +137,7 @@ This dataset was constructed by:
 This dataset is licensed under [CC BY 4.0](https://choosealicense.com/licenses/cc-by-4.0/) which allows for both non-commercial and commercial use of this dataset as long as appropriate attribution is made to it.
 
 ## Citation 🔖
+If you use this dataset, please cite [MLEB](https://isaacus.com/mleb) as well.
 ```bibtex
 @misc{butler-2025-contractual-clause-retrieval,
     author = {Butler, Umar},
@@ -146,4 +147,12 @@ This dataset is licensed under [CC BY 4.0](https://choosealicense.com/licenses/c
     version = {0.1.0},
     url = {https://huggingface.co/datasets/isaacus/contractual-clause-retrieval}
 }
+
+@misc{mleb-2025,
+  title={Massive Legal Embedding Benchmark (MLEB)},
+  author={Umar Butler and Abdur-Rahman Butler},
+  year={2025},
+  url={https://isaacus.com/blog/introducing-mleb},
+  publisher={Isaacus}
+}
 ```