Release new version, update readme (#114)

* Bump version 0.2.8  -> 0.12.8

README.md

@@ -10,7 +10,7 @@
 We offer a suite of prompt-decoders, albeit with focus on open source LLMs compatible with [FastChat](https://github.com/lm-sys/FastChat?tab=readme-ov-file#supported-models) (e.g., Vicuna, Zephyr, etc.). Some of the code in this repository is borrowed from [RankGPT](https://github.com/sunnweiwei/RankGPT)!
 
 # Releases
-current_version = 0.2.8
+current_version = 0.12.8
 
 ## 📟 Instructions
 
@@ -26,6 +26,11 @@ conda activate rankllm
 pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
 ```
 
+### Install openjdk with maven if you want to use the retriever
+```bash
+conda install -c conda-forge openjdk=21 maven -y
+```
+
 ### Install Dependencies
 ```bash
 pip install -r requirements.txt

pyproject.toml

@@ -6,7 +6,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "rank-llm"
-version = "0.2.8"
+version = "0.12.8"
 description = "A Package for running prompt decoders like RankVicuna"
 readme = "README.md"
 authors = [
@@ -30,7 +30,7 @@ dependencies = {file = ["requirements.txt"]}
 Homepage = "https://github.com/castorini/rank_llm"
 
 [tool.bumpver]
-current_version = "0.2.8"
+current_version = "0.12.8"
 version_pattern = "MAJOR.MINOR.PATCH"
 commit_message = "Bump version {old_version} -> {new_version}"
 commit = true

src/rank_llm/demo/rerank_stored_retrieved_results.py

@@ -11,7 +11,7 @@
 from rank_llm.rerank.zephyr_reranker import ZephyrReranker
 
 file_name = (
-    "retrieve_results/BM25/retrieve_results_msmarco-v2.1-doc-segmented-dl21_top20.jsonl"
+    "retrieve_results/BM25/retrieve_results_dl23_top20.json"
 )
 requests = read_requests_from_file(file_name)