Remove appassembler-maven-plugin

castorini · lintool · Apr 8, 2024 · Apr 6, 2024 · Apr 6, 2024 · Apr 6, 2024
commit a193811ff1ee96e977075a18fe14e41e7175b9ed
diff --git a/bin/build.sh b/bin/build.sh
@@ -1,3 +1,3 @@
 #!/bin/sh
 
-mvn clean package appassembler:assemble
+mvn clean package
diff --git a/bin/qbuild.sh b/bin/qbuild.sh
@@ -1,3 +1,3 @@
 #!/bin/sh
 
-mvn clean package appassembler:assemble -DskipTests -Dmaven.javadoc.skip=true
+mvn clean package -DskipTests -Dmaven.javadoc.skip=true
diff --git a/bin/run.sh b/bin/run.sh
@@ -0,0 +1,3 @@
+#!/bin/sh
+
+java -cp `ls target/*-fatjar.jar` -Xms512M -Xmx64G --add-modules jdk.incubator.vector $@
diff --git a/bin/trec_eval b/bin/trec_eval
@@ -0,0 +1,3 @@
+#!/bin/sh
+
+java -cp `ls target/*-fatjar.jar` -Xms512M -Xmx64G --add-modules jdk.incubator.vector trec_eval $@
diff --git a/docs/regressions/regressions-backgroundlinking18.md b/docs/regressions/regressions-backgroundlinking18.md
@@ -17,7 +17,7 @@ python src/main/python/run_regression.py --index --verify --search --regression
 Typical indexing command:
 
 ```
-target/appassembler/bin/IndexCollection \
+bin/run.sh io.anserini.index.IndexCollection \
   -collection WashingtonPostCollection \
   -input /path/to/wapo.v2 \
   -generator WashingtonPostGenerator \
@@ -42,21 +42,21 @@ They are downloaded from NIST:
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-target/appassembler/bin/SearchCollection \
+bin/run.sh io.anserini.search.SearchCollection \
   -index indexes/lucene-index.wapo.v2/ \
   -topics tools/topics-and-qrels/topics.backgroundlinking18.txt \
   -topicReader BackgroundLinking \
   -output runs/run.wapo.v2.bm25.topics.backgroundlinking18.txt \
   -backgroundLinking -backgroundLinking.k 100 -bm25 -hits 100 &
 
-target/appassembler/bin/SearchCollection \
+bin/run.sh io.anserini.search.SearchCollection \
   -index indexes/lucene-index.wapo.v2/ \
   -topics tools/topics-and-qrels/topics.backgroundlinking18.txt \
   -topicReader BackgroundLinking \
   -output runs/run.wapo.v2.bm25+rm3.topics.backgroundlinking18.txt \
   -backgroundLinking -backgroundLinking.k 100 -bm25 -rm3 -hits 100 &
 
-target/appassembler/bin/SearchCollection \
+bin/run.sh io.anserini.search.SearchCollection \
   -index indexes/lucene-index.wapo.v2/ \
   -topics tools/topics-and-qrels/topics.backgroundlinking18.txt \
   -topicReader BackgroundLinking \
@@ -67,11 +67,11 @@ target/appassembler/bin/SearchCollection \
 Evaluation can be performed using `trec_eval`:
 
 ```
-target/appassembler/bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking18.txt runs/run.wapo.v2.bm25.topics.backgroundlinking18.txt
+bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking18.txt runs/run.wapo.v2.bm25.topics.backgroundlinking18.txt
 
-target/appassembler/bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking18.txt runs/run.wapo.v2.bm25+rm3.topics.backgroundlinking18.txt
+bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking18.txt runs/run.wapo.v2.bm25+rm3.topics.backgroundlinking18.txt
 
-target/appassembler/bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking18.txt runs/run.wapo.v2.bm25+rm3+df.topics.backgroundlinking18.txt
+bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking18.txt runs/run.wapo.v2.bm25+rm3+df.topics.backgroundlinking18.txt
 ```
 
 ## Effectiveness

diff --git a/docs/regressions/regressions-backgroundlinking19.md b/docs/regressions/regressions-backgroundlinking19.md
@@ -17,7 +17,7 @@ python src/main/python/run_regression.py --index --verify --search --regression
 Typical indexing command:
 
 ```
-target/appassembler/bin/IndexCollection \
+bin/run.sh io.anserini.index.IndexCollection \
   -collection WashingtonPostCollection \
   -input /path/to/wapo.v2 \
   -generator WashingtonPostGenerator \
@@ -42,21 +42,21 @@ They are downloaded from NIST:
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-target/appassembler/bin/SearchCollection \
+bin/run.sh io.anserini.search.SearchCollection \
   -index indexes/lucene-index.wapo.v2/ \
   -topics tools/topics-and-qrels/topics.backgroundlinking19.txt \
   -topicReader BackgroundLinking \
   -output runs/run.wapo.v2.bm25.topics.backgroundlinking19.txt \
   -backgroundLinking -backgroundLinking.k 100 -bm25 -hits 100 &
 
-target/appassembler/bin/SearchCollection \
+bin/run.sh io.anserini.search.SearchCollection \
   -index indexes/lucene-index.wapo.v2/ \
   -topics tools/topics-and-qrels/topics.backgroundlinking19.txt \
   -topicReader BackgroundLinking \
   -output runs/run.wapo.v2.bm25+rm3.topics.backgroundlinking19.txt \
   -backgroundLinking -backgroundLinking.k 100 -bm25 -rm3 -hits 100 &
 
-target/appassembler/bin/SearchCollection \
+bin/run.sh io.anserini.search.SearchCollection \
   -index indexes/lucene-index.wapo.v2/ \
   -topics tools/topics-and-qrels/topics.backgroundlinking19.txt \
   -topicReader BackgroundLinking \
@@ -67,11 +67,11 @@ target/appassembler/bin/SearchCollection \
 Evaluation can be performed using `trec_eval`:
 
 ```
-target/appassembler/bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking19.txt runs/run.wapo.v2.bm25.topics.backgroundlinking19.txt
+bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking19.txt runs/run.wapo.v2.bm25.topics.backgroundlinking19.txt
 
-target/appassembler/bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking19.txt runs/run.wapo.v2.bm25+rm3.topics.backgroundlinking19.txt
+bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking19.txt runs/run.wapo.v2.bm25+rm3.topics.backgroundlinking19.txt
 
-target/appassembler/bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking19.txt runs/run.wapo.v2.bm25+rm3+df.topics.backgroundlinking19.txt
+bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking19.txt runs/run.wapo.v2.bm25+rm3+df.topics.backgroundlinking19.txt
 ```
 
 ## Effectiveness

diff --git a/docs/regressions/regressions-backgroundlinking20.md b/docs/regressions/regressions-backgroundlinking20.md
@@ -17,7 +17,7 @@ python src/main/python/run_regression.py --index --verify --search --regression
 Typical indexing command:
 
 ```
-target/appassembler/bin/IndexCollection \
+bin/run.sh io.anserini.index.IndexCollection \
   -collection WashingtonPostCollection \
   -input /path/to/wapo.v3 \
   -generator WashingtonPostGenerator \
@@ -42,21 +42,21 @@ They are downloaded from NIST:
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-target/appassembler/bin/SearchCollection \
+bin/run.sh io.anserini.search.SearchCollection \
   -index indexes/lucene-index.wapo.v3/ \
   -topics tools/topics-and-qrels/topics.backgroundlinking20.txt \
   -topicReader BackgroundLinking \
   -output runs/run.wapo.v3.bm25.topics.backgroundlinking20.txt \
   -backgroundLinking -backgroundLinking.k 100 -bm25 -hits 100 &
 
-target/appassembler/bin/SearchCollection \
+bin/run.sh io.anserini.search.SearchCollection \
   -index indexes/lucene-index.wapo.v3/ \
   -topics tools/topics-and-qrels/topics.backgroundlinking20.txt \
   -topicReader BackgroundLinking \
   -output runs/run.wapo.v3.bm25+rm3.topics.backgroundlinking20.txt \
   -backgroundLinking -backgroundLinking.k 100 -bm25 -rm3 -hits 100 &
 
-target/appassembler/bin/SearchCollection \
+bin/run.sh io.anserini.search.SearchCollection \
   -index indexes/lucene-index.wapo.v3/ \
   -topics tools/topics-and-qrels/topics.backgroundlinking20.txt \
   -topicReader BackgroundLinking \
@@ -67,11 +67,11 @@ target/appassembler/bin/SearchCollection \
 Evaluation can be performed using `trec_eval`:
 
 ```
-target/appassembler/bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking20.txt runs/run.wapo.v3.bm25.topics.backgroundlinking20.txt
+bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking20.txt runs/run.wapo.v3.bm25.topics.backgroundlinking20.txt
 
-target/appassembler/bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking20.txt runs/run.wapo.v3.bm25+rm3.topics.backgroundlinking20.txt
+bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking20.txt runs/run.wapo.v3.bm25+rm3.topics.backgroundlinking20.txt
 
-target/appassembler/bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking20.txt runs/run.wapo.v3.bm25+rm3+df.topics.backgroundlinking20.txt
+bin/trec_eval -c -M1000 -m map -c -M1000 -m ndcg_cut.5 tools/topics-and-qrels/qrels.backgroundlinking20.txt runs/run.wapo.v3.bm25+rm3+df.topics.backgroundlinking20.txt
 ```
 
 ## Effectiveness

diff --git a/.../regressions/regressions-beir-v1.0.0-arguana-bge-base-en-v1.5-hnsw-int8-onnx.md b/.../regressions/regressions-beir-v1.0.0-arguana-bge-base-en-v1.5-hnsw-int8-onnx.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building HNSW indexes:
 
 ```
-target/appassembler/bin/IndexHnswDenseVectors \
+bin/run.sh io.anserini.index.IndexHnswDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-bge-base-en-v1.5 \
   -generator HnswDenseVectorDocumentGenerator \
@@ -52,7 +52,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-target/appassembler/bin/SearchHnswDenseVectors \
+bin/run.sh io.anserini.search.SearchHnswDenseVectors \
   -index indexes/lucene-hnsw.beir-v1.0.0-arguana-bge-base-en-v1.5-int8/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-arguana.test.tsv.gz \
   -topicReader TsvString \

diff --git a/docs/regressions/regressions-beir-v1.0.0-arguana-bge-base-en-v1.5-hnsw-int8.md b/docs/regressions/regressions-beir-v1.0.0-arguana-bge-base-en-v1.5-hnsw-int8.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building HNSW indexes:
 
 ```
-target/appassembler/bin/IndexHnswDenseVectors \
+bin/run.sh io.anserini.index.IndexHnswDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-bge-base-en-v1.5 \
   -generator HnswDenseVectorDocumentGenerator \
@@ -52,7 +52,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-target/appassembler/bin/SearchHnswDenseVectors \
+bin/run.sh io.anserini.search.SearchHnswDenseVectors \
   -index indexes/lucene-hnsw.beir-v1.0.0-arguana-bge-base-en-v1.5-int8/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-arguana.test.bge-base-en-v1.5.jsonl.gz \
   -topicReader JsonStringVector \

diff --git a/docs/regressions/regressions-beir-v1.0.0-arguana-bge-base-en-v1.5-hnsw-onnx.md b/docs/regressions/regressions-beir-v1.0.0-arguana-bge-base-en-v1.5-hnsw-onnx.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building HNSW indexes:
 
 ```
-target/appassembler/bin/IndexHnswDenseVectors \
+bin/run.sh io.anserini.index.IndexHnswDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-bge-base-en-v1.5 \
   -generator HnswDenseVectorDocumentGenerator \
@@ -52,7 +52,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-target/appassembler/bin/SearchHnswDenseVectors \
+bin/run.sh io.anserini.search.SearchHnswDenseVectors \
   -index indexes/lucene-hnsw.beir-v1.0.0-arguana-bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-arguana.test.tsv.gz \
   -topicReader TsvString \

diff --git a/docs/regressions/regressions-beir-v1.0.0-arguana-bge-base-en-v1.5-hnsw.md b/docs/regressions/regressions-beir-v1.0.0-arguana-bge-base-en-v1.5-hnsw.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building HNSW indexes:
 
 ```
-target/appassembler/bin/IndexHnswDenseVectors \
+bin/run.sh io.anserini.index.IndexHnswDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-bge-base-en-v1.5 \
   -generator HnswDenseVectorDocumentGenerator \
@@ -52,7 +52,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-target/appassembler/bin/SearchHnswDenseVectors \
+bin/run.sh io.anserini.search.SearchHnswDenseVectors \
   -index indexes/lucene-hnsw.beir-v1.0.0-arguana-bge-base-en-v1.5/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-arguana.test.bge-base-en-v1.5.jsonl.gz \
   -topicReader JsonStringVector \

diff --git a/docs/regressions/regressions-beir-v1.0.0-arguana-flat-wp.md b/docs/regressions/regressions-beir-v1.0.0-arguana-flat-wp.md
@@ -28,7 +28,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Typical indexing command:
 
 ```
-target/appassembler/bin/IndexCollection \
+bin/run.sh io.anserini.index.IndexCollection \
   -collection BeirFlatCollection \
   -input /path/to/beir-v1.0.0-arguana-flat-wp \
   -generator DefaultLuceneDocumentGenerator \
@@ -46,7 +46,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-target/appassembler/bin/SearchCollection \
+bin/run.sh io.anserini.search.SearchCollection \
   -index indexes/lucene-index.beir-v1.0.0-arguana-flat-wp/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-arguana.test.wp.tsv.gz \
   -topicReader TsvString \

diff --git a/docs/regressions/regressions-beir-v1.0.0-arguana-flat.md b/docs/regressions/regressions-beir-v1.0.0-arguana-flat.md
@@ -27,7 +27,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Typical indexing command:
 
 ```
-target/appassembler/bin/IndexCollection \
+bin/run.sh io.anserini.index.IndexCollection \
   -collection BeirFlatCollection \
   -input /path/to/beir-v1.0.0-arguana-flat \
   -generator DefaultLuceneDocumentGenerator \
@@ -45,7 +45,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-target/appassembler/bin/SearchCollection \
+bin/run.sh io.anserini.search.SearchCollection \
   -index indexes/lucene-index.beir-v1.0.0-arguana-flat/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-arguana.test.tsv.gz \
   -topicReader TsvString \

diff --git a/docs/regressions/regressions-beir-v1.0.0-arguana-multifield.md b/docs/regressions/regressions-beir-v1.0.0-arguana-multifield.md
@@ -28,7 +28,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Typical indexing command:
 
 ```
-target/appassembler/bin/IndexCollection \
+bin/run.sh io.anserini.index.IndexCollection \
   -collection BeirMultifieldCollection \
   -input /path/to/beir-v1.0.0-arguana-multifield \
   -generator DefaultLuceneDocumentGenerator \
@@ -46,7 +46,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-target/appassembler/bin/SearchCollection \
+bin/run.sh io.anserini.search.SearchCollection \
   -index indexes/lucene-index.beir-v1.0.0-arguana-multifield/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-arguana.test.tsv.gz \
   -topicReader TsvString \

diff --git a/docs/regressions/regressions-beir-v1.0.0-arguana-splade-pp-ed-onnx.md b/docs/regressions/regressions-beir-v1.0.0-arguana-splade-pp-ed-onnx.md
@@ -34,7 +34,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command:
 
 ```
-target/appassembler/bin/IndexCollection \
+bin/run.sh io.anserini.index.IndexCollection \
   -collection JsonVectorCollection \
   -input /path/to/beir-v1.0.0-arguana-splade-pp-ed \
   -generator DefaultLuceneDocumentGenerator \
@@ -53,7 +53,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-target/appassembler/bin/SearchCollection \
+bin/run.sh io.anserini.search.SearchCollection \
   -index indexes/lucene-index.beir-v1.0.0-arguana-splade-pp-ed/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-arguana.test.tsv.gz \
   -topicReader TsvString \

diff --git a/docs/regressions/regressions-beir-v1.0.0-arguana-splade-pp-ed.md b/docs/regressions/regressions-beir-v1.0.0-arguana-splade-pp-ed.md
@@ -34,7 +34,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command:
 
 ```
-target/appassembler/bin/IndexCollection \
+bin/run.sh io.anserini.index.IndexCollection \
   -collection JsonVectorCollection \
   -input /path/to/beir-v1.0.0-arguana-splade-pp-ed \
   -generator DefaultLuceneDocumentGenerator \
@@ -53,7 +53,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-target/appassembler/bin/SearchCollection \
+bin/run.sh io.anserini.search.SearchCollection \
   -index indexes/lucene-index.beir-v1.0.0-arguana-splade-pp-ed/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-arguana.test.splade-pp-ed.tsv.gz \
   -topicReader TsvString \

diff --git a/docs/regressions/regressions-beir-v1.0.0-arguana-unicoil-noexp.md b/docs/regressions/regressions-beir-v1.0.0-arguana-unicoil-noexp.md
@@ -31,7 +31,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Typical indexing command:
 
 ```
-target/appassembler/bin/IndexCollection \
+bin/run.sh io.anserini.index.IndexCollection \
   -collection JsonVectorCollection \
   -input /path/to/beir-v1.0.0-arguana-unicoil-noexp \
   -generator DefaultLuceneDocumentGenerator \
@@ -49,7 +49,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-target/appassembler/bin/SearchCollection \
+bin/run.sh io.anserini.search.SearchCollection \
   -index indexes/lucene-index.beir-v1.0.0-arguana-unicoil-noexp/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-arguana.test.unicoil-noexp.tsv.gz \
   -topicReader TsvString \

diff --git a/docs/regressions/regressions-beir-v1.0.0-bioasq-bge-base-en-v1.5-hnsw-int8-onnx.md b/docs/regressions/regressions-beir-v1.0.0-bioasq-bge-base-en-v1.5-hnsw-int8-onnx.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building HNSW indexes:
 
 ```
-target/appassembler/bin/IndexHnswDenseVectors \
+bin/run.sh io.anserini.index.IndexHnswDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-bge-base-en-v1.5 \
   -generator HnswDenseVectorDocumentGenerator \
@@ -52,7 +52,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-target/appassembler/bin/SearchHnswDenseVectors \
+bin/run.sh io.anserini.search.SearchHnswDenseVectors \
   -index indexes/lucene-hnsw.beir-v1.0.0-bioasq-bge-base-en-v1.5-int8/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-bioasq.test.tsv.gz \
   -topicReader TsvString \

diff --git a/docs/regressions/regressions-beir-v1.0.0-bioasq-bge-base-en-v1.5-hnsw-int8.md b/docs/regressions/regressions-beir-v1.0.0-bioasq-bge-base-en-v1.5-hnsw-int8.md
@@ -32,7 +32,7 @@ After download and unpacking the corpora, the `run_regression.py` command above
 Sample indexing command, building HNSW indexes:
 
 ```
-target/appassembler/bin/IndexHnswDenseVectors \
+bin/run.sh io.anserini.index.IndexHnswDenseVectors \
   -collection JsonDenseVectorCollection \
   -input /path/to/beir-v1.0.0-bge-base-en-v1.5 \
   -generator HnswDenseVectorDocumentGenerator \
@@ -52,7 +52,7 @@ Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/t
 After indexing has completed, you should be able to perform retrieval as follows:
 
 ```
-target/appassembler/bin/SearchHnswDenseVectors \
+bin/run.sh io.anserini.search.SearchHnswDenseVectors \
   -index indexes/lucene-hnsw.beir-v1.0.0-bioasq-bge-base-en-v1.5-int8/ \
   -topics tools/topics-and-qrels/topics.beir-v1.0.0-bioasq.test.bge-base-en-v1.5.jsonl.gz \
   -topicReader JsonStringVector \
Original file line number	Diff line number	Diff line change
		@@ -0,0 +1,3 @@
		#!/bin/sh

		java -cp `ls target/*-fatjar.jar` -Xms512M -Xmx64G --add-modules jdk.incubator.vector $@