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Anserini: Regressions for DL21 (Passage)

This page describes baseline experiments, integrated into Anserini's regression testing framework, for the TREC 2021 Deep Learning Track (Passage Ranking Task) on the MS MARCO V2 augmented passage collection using relevance judgments from NIST.

At the time this regression was created (November 2021), the qrels are only available to TREC participants. You must download the qrels from NIST's "active participants" password-protected site and place at src/main/resources/topics-and-qrels/qrels.dl21-passage.txt. The qrels will be added to Anserini when they are publicly released in Spring 2022.

Note that the NIST relevance judgments provide far more relevant passages per topic, unlike the "sparse" judgments provided by Microsoft (these are sometimes called "dense" judgments to emphasize this contrast). For additional instructions on working with MS MARCO V2 passage collection, refer to this page.

The exact configurations for these regressions are stored in this YAML file. Note that this page is automatically generated from this template as part of Anserini's regression pipeline, so do not modify this page directly; modify the template instead.

From one of our Waterloo servers (e.g., orca), the following command will perform the complete regression, end to end:

python src/main/python/run_regression.py --index --verify --search --regression dl21-passage-augmented

Indexing

Typical indexing command:

target/appassembler/bin/IndexCollection \
  -collection MsMarcoV2PassageCollection \
  -input /path/to/msmarco-v2-passage-augmented \
  -index indexes/lucene-index.msmarco-v2-passage-augmented/ \
  -generator DefaultLuceneDocumentGenerator \
  -threads 18 -storePositions -storeDocvectors -storeRaw \
  >& logs/log.msmarco-v2-passage-augmented &

The value of -input should be a directory containing the compressed jsonl files that comprise the corpus. See this page for additional details.

For additional details, see explanation of common indexing options.

Retrieval

Topics and qrels are stored in src/main/resources/topics-and-qrels/. The regression experiments here evaluate on the 53 topics for which NIST has provided judgments as part of the TREC 2021 Deep Learning Track.

After indexing has completed, you should be able to perform retrieval as follows:

target/appassembler/bin/SearchCollection \
  -index indexes/lucene-index.msmarco-v2-passage-augmented/ \
  -topics src/main/resources/topics-and-qrels/topics.dl21.txt \
  -topicreader TsvInt \
  -output runs/run.msmarco-v2-passage-augmented.bm25-default.topics.dl21.txt \
  -bm25 &

target/appassembler/bin/SearchCollection \
  -index indexes/lucene-index.msmarco-v2-passage-augmented/ \
  -topics src/main/resources/topics-and-qrels/topics.dl21.txt \
  -topicreader TsvInt \
  -output runs/run.msmarco-v2-passage-augmented.bm25-default+rm3.topics.dl21.txt \
  -bm25 -rm3 &

target/appassembler/bin/SearchCollection \
  -index indexes/lucene-index.msmarco-v2-passage-augmented/ \
  -topics src/main/resources/topics-and-qrels/topics.dl21.txt \
  -topicreader TsvInt \
  -output runs/run.msmarco-v2-passage-augmented.bm25-default+ax.topics.dl21.txt \
  -bm25 -axiom -axiom.deterministic -rerankCutoff 20 &

target/appassembler/bin/SearchCollection \
  -index indexes/lucene-index.msmarco-v2-passage-augmented/ \
  -topics src/main/resources/topics-and-qrels/topics.dl21.txt \
  -topicreader TsvInt \
  -output runs/run.msmarco-v2-passage-augmented.bm25-default+prf.topics.dl21.txt \
  -bm25 -bm25prf &

Evaluation can be performed using trec_eval:

tools/eval/trec_eval.9.0.4/trec_eval -c -M 100 -m map -l 2 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default.topics.dl21.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -M 100 -m recip_rank -l 2 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default.topics.dl21.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -m ndcg_cut.10 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default.topics.dl21.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.100 -l 2 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default.topics.dl21.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.1000 -l 2 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default.topics.dl21.txt

tools/eval/trec_eval.9.0.4/trec_eval -c -M 100 -m map -l 2 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default+rm3.topics.dl21.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -M 100 -m recip_rank -l 2 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default+rm3.topics.dl21.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -m ndcg_cut.10 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default+rm3.topics.dl21.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.100 -l 2 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default+rm3.topics.dl21.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.1000 -l 2 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default+rm3.topics.dl21.txt

tools/eval/trec_eval.9.0.4/trec_eval -c -M 100 -m map -l 2 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default+ax.topics.dl21.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -M 100 -m recip_rank -l 2 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default+ax.topics.dl21.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -m ndcg_cut.10 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default+ax.topics.dl21.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.100 -l 2 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default+ax.topics.dl21.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.1000 -l 2 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default+ax.topics.dl21.txt

tools/eval/trec_eval.9.0.4/trec_eval -c -M 100 -m map -l 2 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default+prf.topics.dl21.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -M 100 -m recip_rank -l 2 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default+prf.topics.dl21.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -m ndcg_cut.10 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default+prf.topics.dl21.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.100 -l 2 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default+prf.topics.dl21.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.1000 -l 2 src/main/resources/topics-and-qrels/qrels.dl21-passage.txt runs/run.msmarco-v2-passage-augmented.bm25-default+prf.topics.dl21.txt

Effectiveness

With the above commands, you should be able to reproduce the following results:

MAP@100 BM25 (default) +RM3 +Ax +PRF
DL21 (Passage) 0.0977 0.1050 0.0849 0.0959
MRR@100 BM25 (default) +RM3 +Ax +PRF
DL21 (Passage) 0.5303 0.4906 0.4269 0.4737
nDCG@10 BM25 (default) +RM3 +Ax +PRF
DL21 (Passage) 0.3977 0.3906 0.2927 0.3488
R@100 BM25 (default) +RM3 +Ax +PRF
DL21 (Passage) 0.2709 0.2795 0.2645 0.2729
R@1000 BM25 (default) +RM3 +Ax +PRF
DL21 (Passage) 0.5835 0.6268 0.6085 0.5952

Some of these regressions correspond to official TREC 2021 Deep Learning Track "baseline" submissions:

  • paug_bm25 = BM25 (default), k1=0.9, b=0.4
  • paug_bm25rm3 = BM25 (default) + RM3, k1=0.9, b=0.4