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---
license: cc-by-nc-4.0
tags:
- vector-search
- multi-vector-search
- nearest-neighbors
- high-dimensional-data
- political-science
pretty_name: Multi-Vector Search Datasets
size_categories:
- 1M<n<10M
language:
- en
---
## Multi-Vector Search Datasets
The datasets listed below are used in the [Multi-Vector HNSW](https://github.com/habedi/multi-vector-hnsw) project for testing and benchmarking multi-vector approximate nearest neighbor search algorithms and their implementations.
---
### Stack Exchange Datasets
Source: [habedi/stack-exchange-dataset](https://huggingface.co/datasets/habedi/stack-exchange-dataset)
Each row contains:
- `id`: unique post ID
- `title`: the post title
- `body`: the main body content (with HTML tags removed)
- `tags`: associated tags
- `embedding`: a list of three 768-dimensional vectors for `[title, body, tags]`
Text embeddings were generated using [`all-mpnet-base-v2`](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) from Sentence Transformers.
| Index | Dataset | Size |
|-------|---------------------|--------:|
| 1 | Computer Science | 40,792 |
| 2 | Data Science | 28,950 |
| 3 | Political Science | 12,416 |
---
### Flickr8k Dataset
Source: [habedi/flickr-8k-dataset-clean](https://www.kaggle.com/datasets/habedi/flickr-8k-dataset-clean)
Each row contains:
- `id`: image filename
- `captions`: a list of five human-written captions
- `image`: raw image data (JPEG format)
- `embedding`: a list of six 768-dimensional vectors: five for captions, one for the image
Caption embeddings were generated using [`all-mpnet-base-v2`](https://huggingface.co/sentence-transformers/all-mpnet-base-v2).
Image embeddings were generated using [`openai/clip-vit-base-patch32`](https://huggingface.co/openai/clip-vit-base-patch32) via the Hugging Face Transformers library.
| Index | Dataset | Size |
|-------|------------------------------|-------:|
| 1 | Flickr8k (captions + image) | 8,091 | |