README.md

---
title: PyTerrier Doc2Query
emoji: 🐕
colorFrom: green
colorTo: green
sdk: gradio
sdk_version: 3.7
app_file: app.py
pinned: false
models:
- macavaney/doc2query-t5-base-msmarco
---

<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;
}
.transformer.boring::before {
  border-top-color: #ddd;
  border-bottom-color: #ddd;
}
.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 Doc2Query package](https://github.com/terrierteam/pyterrier_doc2query). Doc2Query generates
queries for a document, which can then be appended to a document's text before indexing to boost important terms and add missing terms.

Doc2Query functions as a `D→D` (document-to-document) transformer and can be used in pipelines accordingly.

<div class="pipeline">
  <div class="df" title="Document Frame">D</div>
  <div class="transformer" title="Doc2Query Transformer">Doc2Query</div>
  <div class="df" title="Document Frame">D</div>
</div>

Try it below!