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---
title: PyTerrier SPLADE
emoji: 🐕
colorFrom: green
colorTo: green
sdk: gradio
sdk_version: 3.7
app_file: app.py
pinned: false
---
<style>
.transformer {
display: inline-block;
background: #8facdb;
position: relative;
height: 60px;
line-height: 60px;
padding: 0 24px;
margin: 0 18px;
color: #333;
cursor: help;
}
.transformer::before {
content: "";
position: absolute;
bottom: 0;
top: 0;
left: -15px;
border-top: 30px solid #8facdb;
border-bottom: 30px solid #8facdb;
border-left: 15px solid transparent;
}
.transformer::after {
content: "";
position: absolute;
bottom: 0;
top: 0;
right: -15px;
border-top: 30px solid transparent;
border-bottom: 30px solid transparent;
border-left: 15px solid #8facdb;
}
.transformer.boring {
background: #ddd;
}
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border-top-color: #ddd;
border-bottom-color: #ddd;
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.transformer.boring::after {
border-left-color: #ddd;
}
.df {
width: 24px;
line-height: 24px;
text-align: center;
border: 3px double #888;
background-color: #eee;
color: #333;
border-radius: 4px;
display: inline-block;
box-sizing: content-box;
cursor: help;
margin: 0 -25px;
opacity: 0.5;
z-index: 1;
position: relative;
}
.df:hover {
opacity: 1;
}
.pipeline {
text-align: center;
}
</style>
This is a demonstration of [PyTerrier's SPLADE package](https://github.com/cmacdonald/pyt_splade). The SPLADE model encodes queries and documents
into sparse representations, which can then be used for indexing and retrieval.
### Query Encoding
Let's start by exploring SPLADE's query encoder. The query encoder is a `Q→Q` (query rewriting, query-to-query) transformer, and can be used in pipelines accordingly.
It maps a query string into [MatchOp](https://terrier-core.readthedocs.io/en/latest/querylanguage.html#matching-op-query-language) query with terms from the
query re-weighted and weighted expansion terms added.
<div class="pipeline">
<div class="df" title="Query Frame">Q</div>
<div class="transformer" title="SPLADE Query Transformer">SPLADE</div>
<div class="df" title="Query Frame">Q</div>
</div>
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