Information Retrieval for experimaestro
Information Retrieval module for experimaestro, based on xpm-torch
The full documentation can be read at IR@experimaestro.
You can find experiments built on top of XPMIR on the xpmir github workspace.
Finally, you can find the roadmap.
Install
Base experimaestro-IR can be installed with pip install xpmir.
Functionalities can be added by installing optional dependencies:
pip install xpmir[neural]to install neural-IR packages (torch, etc.)pip install xpmir[anserini]to install Anserini related packages
For the development version, you can:
- If you just want the development version: install with
pip install git+https://github.com/experimaestro/experimaestro-ir.git - If you want to edit the code: clone and then do a
pip install -e .within the directory
What's inside?
- Collection management (using datamaestro)
- Splitting IR datasets
- Shuffling training triplets
- Representation
- Word Embeddings
- HuggingFace transformers
- Indices
- dense: FAISS interface
- sparse: xpmir-rust library
- Standard Indexing and Retrieval
- Anserini
- Learning to Rank
- Pointwise
- Pairwise
- Distillation
- Neural IR
- Cross-Encoder
- Splade
- DRMM
- ColBERT
- Paper reproduction:
- MonoBERT (Passage Re-ranking with BERT. Rodrigo Nogueira and Kyunghyun Cho. 2019)
- (alpha) DuoBERT (Multi-Stage Document Ranking with BERT. Rodrigo Nogueira, Wei Yang, Kyunghyun Cho, Jimmy Lin. 2019)
- (beta) Splade v2 (SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval, Thibault Formal, Carlos Lassance, Benjamin Piwowarski, and Stéphane Clinchant. SIGIR 2021)
- (planned) ANCE
- Pre-trained models
- HuggingFace integration (direct, through the Sentence Transformers library)
Thanks
Some parts of the code have been adapted from OpenNIR
1 maintainer
Metadata
1 maintainer
Release files for experimaestro-ir 1.5.0
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