Update README.md

README.md

@@ -11,12 +11,9 @@ tags:
 - legal
 - law
 size_categories:
-- 100K<n<1M
+- 1M<n<10M
 ---
 
-README in progress
-
-
 # Usage
 The dataset is in folder according to the task and type (e.g. `generation` or `collection` for IR).
 
@@ -26,4 +23,10 @@ from datasets import load_dataset
 dataset = load_dataset("jhu-clsp/CLERC", data_files={"data": f"generation/test.jsonl"})["data"]
 ```
 
-Change the values in `data_files` to match the file you want to load.
+# Dataset Description:
+CLERC is a large-scale dataset of federal case law from the paper (https://arxiv.org/abs/2406.17186). It has a few subsets:
+1. collection: records 1.84M original federal case law, both in doc and passage forms. This can be used for doing retrieval or alternative tasks.
+2. generation: includes data for the RAG task as described in the paper. Also see the github (https://github.com/bohanhou14/CLERC) for more details.
+3. qrels and queries: qrels and queries used for the retrieval task, all following MSMARCO formats.
+4. triples, teva_train_triples: triples in different formats for evaluation and training (with tevatron)
+