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49 lines
1.7 KiB
Markdown
49 lines
1.7 KiB
Markdown
---
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draft: false
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id: 2
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title: Common datasets snapshots
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weight: 1
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---
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Understanding that creating embeddings every time can be a resource-intensive task, we have
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devised a more efficient solution for you. In this section, we will regularly publish
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snapshots of common public datasets often used for demonstration purposes. These snapshots
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contain pre-computed vectors, critical for semantic search, that you can easily import
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into your Qdrant instance. Our objective is to streamline your process and accelerate your
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progress. Say goodbye to redundant operations and harness the power of Qdrant with a simple
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snapshot import.
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<table>
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<thead>
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<tr>
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<th>Dataset</th>
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<th>Description</th>
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<th>Model</th>
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<th>Dimensionality</th>
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<th>Link</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<th rowspan="2">Arxiv.org</th>
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<th>Only titles</th>
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<td><a href="https://huggingface.co/hkunlp/instructor-xl">InstructorXL</a></td>
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<td>768</td>
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<td>
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<a href="https://storage.googleapis.com/common-datasets-snapshots/arxiv_titles-3083016565637815127-2023-05-29-13-56-22.snapshot">
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<img src="/images/icons/download.svg" alt="download" />
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</a>
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</td>
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</tr>
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<tr>
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<th>Only abstracts</th>
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<td><a href="https://huggingface.co/hkunlp/instructor-xl">InstructorXL</a></td>
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<td>768</td>
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<td>
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<a href="https://storage.googleapis.com/common-datasets-snapshots/arxiv_abstracts-3083016565637815127-2023-06-02-07-26-29.snapshot">
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<img src="/images/icons/download.svg" alt="download" />
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</a>
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</td>
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</tr>
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</tbody>
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</table> |