Merge pull request #2398 from qdrant/update-datasets

Update datasets for Qdrant 1.18+
This commit is contained in:
Tim Visée
2026-06-04 13:52:18 +02:00
committed by GitHub
@@ -20,9 +20,9 @@ on a dataset name to see its detailed description.
| Dataset | Model | Vector size | Documents | Size | Qdrant snapshot | HF Hub | | 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 titles](#arxivorg-titles) | [InstructorXL](https://huggingface.co/hkunlp/instructor-xl) | 768 | 2.3M | 7.7 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-3083016565637815127-2023-06-02-07-26-29.snapshot) | [Open](https://huggingface.co/datasets/Qdrant/arxiv-abstracts-instructorxl-embeddings) | | [Arxiv.org abstracts](#arxivorg-abstracts) | [InstructorXL](https://huggingface.co/hkunlp/instructor-xl) | 768 | 2.3M | 9.2 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-ViT-B-32-2446808438011867-2023-12-14-15-55-26.snapshot) | [Open](https://huggingface.co/datasets/Qdrant/wolt-food-clip-ViT-B-32-embeddings) | | [Wolt food](#wolt-food) | [clip-ViT-B-32](https://huggingface.co/sentence-transformers/clip-ViT-B-32) | 512 | 1.7M | 6.8 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) Once you download a snapshot, you need to [restore it](/documentation/snapshots/#restore-snapshot)
using the Qdrant CLI upon startup or through the API. 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]]) 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 #### Importing the dataset
@@ -97,7 +97,7 @@ code snippet shows how to create a new collection and fill it with the snapshot
```http request ```http request
PUT /collections/{collection_name}/snapshots/recover 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"
} }
``` ```
@@ -140,7 +140,7 @@ code snippet shows how to create a new collection and fill it with the snapshot
```http request ```http request
PUT /collections/{collection_name}/snapshots/recover PUT /collections/{collection_name}/snapshots/recover
{ {
"location": "https://snapshots.qdrant.io/arxiv_abstracts-3083016565637815127-2023-06-02-07-26-29.snapshot" "location": "https://snapshots.qdrant.io/arxiv_abstracts-2108082541245612-2026-06-04-09-56-06.snapshot"
} }
``` ```
@@ -192,6 +192,6 @@ code snippet shows how to create a new collection and fill it with the snapshot
```http request ```http request
PUT /collections/{collection_name}/snapshots/recover PUT /collections/{collection_name}/snapshots/recover
{ {
"location": "https://snapshots.qdrant.io/wolt-clip-ViT-B-32-2446808438011867-2023-12-14-15-55-26.snapshot" "location": "https://snapshots.qdrant.io/wolt-clip-2108082541245612-2026-06-04-09-56-17.snapshot"
} }
``` ```