---
draft: true
id: 2
title: Common datasets snapshots
weight: 1
---

Understanding that creating embeddings every time can be a resource-intensive task, we have 
devised a more efficient solution for you. In this section, we will regularly publish 
snapshots of common public datasets often used for general or educational purposes. These 
snapshots contain pre-computed vectors, critical for semantic search, that you can easily 
import into your Qdrant instance. Our objective is to streamline your process and accelerate 
your progress. Say goodbye to redundant operations and harness the power of Qdrant with 
a simple [snapshot import](/documentation/concepts/snapshots/).

<table>
   <thead>
      <tr>
         <th>Dataset</th>
         <th>Description</th>
         <th>Model</th>
         <th>Dimensionality</th>
         <th>Size</th>
         <th>Link</th>
      </tr>
   </thead>
   <tbody>
      <tr>
         <th rowspan="2">Arxiv.org</th>
         <th>Only titles</th>
         <td><a href="https://huggingface.co/hkunlp/instructor-xl">InstructorXL</a></td>
         <td>768</td>
         <td>7.1 GB</td>
         <td>
            <a href="https://storage.googleapis.com/common-datasets-snapshots/arxiv_titles-3083016565637815127-2023-05-29-13-56-22.snapshot">
                <img src="/images/icons/download.svg" alt="download" />
            </a>
         </td>
      </tr>
      <tr>
         <th>Only abstracts</th>
         <td><a href="https://huggingface.co/hkunlp/instructor-xl">InstructorXL</a></td>
         <td>768</td>
         <td>8.4 GB</td>
         <td>
            <a href="https://storage.googleapis.com/common-datasets-snapshots/arxiv_abstracts-3083016565637815127-2023-06-02-07-26-29.snapshot">
                <img src="/images/icons/download.svg" alt="download" />
            </a>
         </td>
      </tr>
   </tbody>
</table>