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Update datasets for Qdrant 1.18+

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timvisee
2026-06-04 12:43:27 +02:00
parent f156c19d2c
commit 27b4613721
1 changed files with 5 additions and 5 deletions
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qdrant-landing/content/documentation/datasets.md
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@@ -20,9 +20,9 @@ on a dataset name to see its detailed description.
| Dataset | Model | Vector size | Documents | Size | Qdrant snapshot | HF Hub |
|--------------------------------------------|-----------------------------------------------------------------------------|-------------|-----------|--------|----------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------|
| [Arxiv.org titles](#arxivorg-titles) | [InstructorXL](https://huggingface.co/hkunlp/instructor-xl) | 768 | 2.3M | 7.1 GB | [Download](https://snapshots.qdrant.io/arxiv_titles-3083016565637815127-2023-05-29-13-56-22.snapshot) | [Open](https://huggingface.co/datasets/Qdrant/arxiv-titles-instructorxl-embeddings) |
| [Arxiv.org abstracts](#arxivorg-abstracts) | [InstructorXL](https://huggingface.co/hkunlp/instructor-xl) | 768 | 2.3M | 8.4 GB | [Download](https://snapshots.qdrant.io/arxiv_abstracts-3083016565637815127-2023-06-02-07-26-29.snapshot) | [Open](https://huggingface.co/datasets/Qdrant/arxiv-abstracts-instructorxl-embeddings) |
| [Wolt food](#wolt-food) | [clip-ViT-B-32](https://huggingface.co/sentence-transformers/clip-ViT-B-32) | 512 | 1.7M | 7.9 GB | [Download](https://snapshots.qdrant.io/wolt-clip-ViT-B-32-2446808438011867-2023-12-14-15-55-26.snapshot) | [Open](https://huggingface.co/datasets/Qdrant/wolt-food-clip-ViT-B-32-embeddings) |
| [Arxiv.org titles](#arxivorg-titles) | [InstructorXL](https://huggingface.co/hkunlp/instructor-xl) | 768 | 2.3M | 7.1 GB | [Download](https://snapshots.qdrant.io/arxiv_titles-2108082541245612-2026-06-04-09-55-52.snapshot) | [Open](https://huggingface.co/datasets/Qdrant/arxiv-titles-instructorxl-embeddings) |
| [Arxiv.org abstracts](#arxivorg-abstracts) | [InstructorXL](https://huggingface.co/hkunlp/instructor-xl) | 768 | 2.3M | 8.4 GB | [Download](https://snapshots.qdrant.io/arxiv_abstracts-2108082541245612-2026-06-04-09-56-06.snapshot) | [Open](https://huggingface.co/datasets/Qdrant/arxiv-abstracts-instructorxl-embeddings) |
| [Wolt food](#wolt-food) | [clip-ViT-B-32](https://huggingface.co/sentence-transformers/clip-ViT-B-32) | 512 | 1.7M | 7.9 GB | [Download](https://snapshots.qdrant.io/wolt-clip-2108082541245612-2026-06-04-09-56-17.snapshot) | [Open](https://huggingface.co/datasets/Qdrant/wolt-food-clip-ViT-B-32-embeddings) |
Once you download a snapshot, you need to [restore it](/documentation/snapshots/#restore-snapshot)
using the Qdrant CLI upon startup or through the API.
@@ -86,7 +86,7 @@ instruction = "Represent the Research Paper title for retrieval; Input:"
embeddings = model.encode([[instruction, sentence]])
```
The snapshot of the dataset might be downloaded [here](https://snapshots.qdrant.io/arxiv_titles-3083016565637815127-2023-05-29-13-56-22.snapshot).
The snapshot of the dataset might be downloaded [here](https://snapshots.qdrant.io/arxiv_titles-2108082541245612-2026-06-04-09-55-52.snapshot).
#### Importing the dataset
@@ -97,7 +97,7 @@ code snippet shows how to create a new collection and fill it with the snapshot
```http request
PUT /collections/{collection_name}/snapshots/recover
{
"location": "https://snapshots.qdrant.io/arxiv_titles-3083016565637815127-2023-05-29-13-56-22.snapshot"
"location": "https://snapshots.qdrant.io/arxiv_titles-2108082541245612-2026-06-04-09-55-52.snapshot"
}
```