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Add basic structure of the common-datasets section
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@@ -158,6 +158,15 @@ keywords = "search engine, vector database, neural network, matching, filter, Sa
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[menu.main.params]
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external = true
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[[menu.main]]
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identifier = "datasets"
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name = "Datasets"
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weight = 8
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parent = "resources"
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url = "/datasets/"
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[menu.main.params]
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external = false
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[[menu.main]]
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identifier = "community"
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name = "Community"
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@@ -0,0 +1,11 @@
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---
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title: Common Datasets
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description: Ready snapshots of some standard datasets which you can easily import into Qdrant.
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keywords:
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- embeddings
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- vector embeddings
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- vectors
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- precomputed embeddings
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- datasets
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- dataset snapshots
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---
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@@ -0,0 +1,42 @@
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---
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draft: false
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id: 1
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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></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>Arxiv.org</th>
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<th>Only titles</th>
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<td>InstructorXL</td>
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<td>768</td>
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<td>https://storage.googleapis.com/common-datasets-snapshots/arxiv_titles-3083016565637815127-2023-05-29-13-56-22.snapshot</td>
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</tr>
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<tr>
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<th>Arxiv.org</th>
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<th>Only abstracts</th>
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<td>InstructorXL</td>
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<td>768</td>
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<td>https://storage.googleapis.com/common-datasets-snapshots/arxiv_abstracts-3083016565637815127-2023-06-02-07-26-29.snapshot</td>
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</tr>
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</tbody>
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</table>
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