isaacus/mleb-scalr

SCALR (MLEB version)

This is the version of the SCALR evaluation dataset used in the Massive Legal Embeddings Benchmark (MLEB) by Isaacus.

This dataset tests the ability of information retrieval models to retrieve relevant legal holdings to complex, reasoning-intensive legal questions.

Structure 🗂️

As per the MTEB information retrieval dataset format, this dataset comprises three splits, default, corpus and queries.

The default split pairs questions (query-id) with correct holdings (corpus-id), each pair having a score of 1.

The corpus split contains holdings, with the text of a holding being stored in the text key and its id being stored in the _id key. There is also a title column, which is deliberately set to an empty string in all cases for compatibility with the mteb library.

The queries split contains questions, with the text of a question being stored in the text key and its id being stored in the _id key.

Methodology 🧪

To understand how SCALR itself was created, refer to its documentation.

This dataset was formatted by taking the test split of SCALR, splitting it in half (after random shuffling) (to allow for the remainder of the dataset to be used for validation), and treating questions as anchors and correct holdings as positive passages, and adding incorrect holdings to the global passage corpus.

License 📜

This dataset is licensed under CC BY 4.0.

Citation 🔖

If you use this dataset, please cite MLEB as well.

@misc{guha2023legalbench,
      title={LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models}, 
      author={Neel Guha and Julian Nyarko and Daniel E. Ho and Christopher Ré and Adam Chilton and Aditya Narayana and Alex Chohlas-Wood and Austin Peters and Brandon Waldon and Daniel N. Rockmore and Diego Zambrano and Dmitry Talisman and Enam Hoque and Faiz Surani and Frank Fagan and Galit Sarfaty and Gregory M. Dickinson and Haggai Porat and Jason Hegland and Jessica Wu and Joe Nudell and Joel Niklaus and John Nay and Jonathan H. Choi and Kevin Tobia and Margaret Hagan and Megan Ma and Michael Livermore and Nikon Rasumov-Rahe and Nils Holzenberger and Noam Kolt and Peter Henderson and Sean Rehaag and Sharad Goel and Shang Gao and Spencer Williams and Sunny Gandhi and Tom Zur and Varun Iyer and Zehua Li},
      year={2023},
      eprint={2308.11462},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@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}
}