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1. A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
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2. NoMIRACL: A multilingual hallucination evaluation dataset to evaluate LLM robustness in RAG against first-stage retrieval errors on 18 languages.
   Python 27 4
3. Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
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4. State-of-the-Art Text Embeddings
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5. Repository for Multililngual Generation, RAG evaluations, and surrogate judge training for Arena RAG leaderboard (NAACL'25)
   Python 10 2