Welcome to PyTerrier’s documentation!¶ Guides Installing and Configuring Importing Datasets Terrier Indexing Terrier Retrieval Running Experiments Query Rewriting & Expansion Learning to Rank Explanations & Illustrations PyTerrier Data Model PyTerrier Transformers Operators on Transformers Examples of Retrieval Pipelines Working with Document Texts Neural Rankers and Rerankers Accessing Terrier’s Index API Parallelisation Tuning Transformer Pipelines Experiments on TREC Robust 2004 Other Modules pyterrier.io - Reading/writing files pyterrier.apply - Custom Transformers pyterrier.new - Creating new dataframes pyterrier.debug - Transformers for Debugging Extensions Adaptive Re-Ranking Alpha Features Anserini AutoQrels Caching ChatNoir ColBERT DeepCT DeepImpact Dense Retrieval Doc2Query Document Quality GenRank OpenNIR PISA Sentence Transformers SPLADE T5 Indices and tables Index