Shape up README

README.md

@@ -1,72 +1,93 @@
 ---
 license: cc-by-sa-4.0
 task_categories:
+- text-retrieval
 - question-answering
 language:
 - en
 tags:
 - legal
+- law
 size_categories:
 - n<1K
+source_datasets:
+- reglab/barexam_qa
 dataset_info:
-  - config_name: default
-    features:
-      - name: query-id
-        dtype: string
-      - name: corpus-id
-        dtype: string
-      - name: score
-        dtype: float64
-    splits:
-    - name: test
-      num_examples: 117
-  - config_name: corpus
-    features:
-      - name: _id
-        dtype: string
-      - name: title
-        dtype: string
-      - name: text
-        dtype: string
-    splits:
-      - name: corpus
-        num_examples: 116
-  - config_name: queries
-    features:
-      - name: _id
-        dtype: string
-      - name: text
-        dtype: string
-    splits:
-      - name: queries
-        num_examples: 117
-
+- config_name: default
+  features:
+  - name: query-id
+    dtype: string
+  - name: corpus-id
+    dtype: string
+  - name: score
+    dtype: float64
+  splits:
+  - name: test
+    num_examples: 117
+- config_name: corpus
+  features:
+  - name: _id
+    dtype: string
+  - name: title
+    dtype: string
+  - name: text
+    dtype: string
+  splits:
+  - name: corpus
+    num_examples: 116
+- config_name: queries
+  features:
+  - name: _id
+    dtype: string
+  - name: text
+    dtype: string
+  splits:
+  - name: queries
+    num_examples: 117
 configs:
-  - config_name: default
-    data_files:
-      - split: test
-        path: data/default.jsonl
-  - config_name: corpus
-    data_files:
-      - split: corpus
-        path: data/corpus.jsonl
-  - config_name: queries
-    data_files:
-      - split: queries
-        path: data/queries.jsonl
-
+- config_name: default
+  data_files:
+  - split: test
+    path: data/default.jsonl
+- config_name: corpus
+  data_files:
+  - split: corpus
+    path: data/corpus.jsonl
+- config_name: queries
+  data_files:
+  - split: queries
+    path: data/queries.jsonl
+pretty_name: Bar Exam QA MTEB Benchmark
 ---
-# Bar Exam QA Benchmark 📝
-The dataset includes questions from multistate bar exams and answers sourced from expert annotations.
-|  | |
-| --- | --- |
-| Task category    | t2t |
-| Domains     | Legal, Written      |
-| Reference  | https://reglab.github.io/legal-rag-benchmarks/       |
+# Bar Exam QA MTEB Benchmark 🏋
+This is the [Bar Exam QA](https://huggingface.co/datasets/reglab/barexam_qa) dataset formatted in the [Massive Text Embedding Benchmark (MTEB)](https://github.com/embeddings-benchmark/mteb) information retrieval dataset format.
+
+This dataset is intended to facilitate the consistent and reproducible evaluation of information retrieval models on Bar Exam QA with the [`mteb`](https://github.com/embeddings-benchmark/mteb) embedding model evaluation framework.
+
+More specifically, this dataset tests the ability of information retrieval models to identify legal provisions relevant to US bar exam questions.
+
+This dataset has been processed into the MTEB format by [Isaacus](https://isaacus.com/), a legal AI research company.
+
+## Methodology 🧪
+To understand how Bar Exam QA was created, refer to its [documentation](https://huggingface.co/datasets/reglab/barexam_qa).
+
+This dataset was formatted by concatenating the `prompt` and `question` columns of the source data delimited by a single space (or, where there was no `prompt`, reverting to the `question` only) into queries (or anchors), and treating the `gold_passage` column as relevant (or positive) passages.
+
+## Structure 🗂️
+As per the MTEB information retrieval dataset format, this dataset comprises three splits, `default`, `corpus` and `queries`.
+
+The `default` split pairs queries (`query-id`) with relevant passages (`corpus-id`), each pair having a `score` of 1.
+
+The `corpus` split contains relevant passages from Bar Exam QA, with the text of a passage being stored in the `text` key and its id being stored in the `_id` key.
+
+The `queries` split contains queries, with the text of a query being stored in the `text` key and its id being stored in the `_id` key.
+
+## License 📜
+To the extent that any intellectual property rights reside in the contributions made by Isaacus in formatting and processing this dataset, Isaacus licenses those contributions under the same license terms as the source dataset. You are free to use this dataset without citing Isaacus.
+
+The source dataset is licensed under [CC BY SA 4.0](https://choosealicense.com/licenses/cc-by-sa-4.0/).
 
-This dataset was produced by modifying the reglab ```Bar Exam QA``` dataset, by combining question and prompt text into a single query, and using expert annotated passages as answers.
-As a benchmark, this dataset is best designed for legal information retrieval and question answering related tasks.
-# Citation
+## Citation 🔖
 ```@inproceedings{zheng2025,
   author = {Zheng, Lucia and Guha, Neel and Arifov, Javokhir and Zhang, Sarah and Skreta, Michal and Manning, Christopher D. and Henderson, Peter and Ho, Daniel E.},
   title = {A Reasoning-Focused Legal Retrieval Benchmark},