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license: cc-by-nc-4.0
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tags:
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- vector-search
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- multi-vector-search
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- nearest-neighbors
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- high-dimensional-data
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- political-science
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pretty_name: Multi-Vector Search Datasets
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size_categories:
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- 1M<n<10M
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language:
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- en
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---
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## Multi-Vector Search Datasets
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The datasets listed below are used in the [Multi-Vector HNSW](https://github.com/habedi/multi-vector-hnsw) project.
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### Stack Exchange Datasets
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### Flickr8k Dataset
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| Index | Dataset
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| 1 | Flickr 8K (captions + image)
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## Multi-Vector Search Datasets
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The datasets listed below are used in the [Multi-Vector HNSW](https://github.com/habedi/multi-vector-hnsw) project for benchmarking multi-vector approximate nearest neighbor search.
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---
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### Stack Exchange Datasets
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Source: [habedi/stack-exchange-dataset](https://huggingface.co/datasets/habedi/stack-exchange-dataset)
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Each row contains:
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- `id`: unique post ID
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- `title`: the post title (text)
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- `body`: the main body content (with HTML tags removed)
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- `tags`: associated tags (text)
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- `embedding`: list of three 768-dimensional vectors for `[title, body, tags]`
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Text embeddings generated using `all-mpnet-base-v2` from Sentence Transformers (`sentence-transformers/all-mpnet-base-v2`)
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| Index | Dataset | Size |
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|-------|---------------------|--------:|
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| 1 | Computer Science | 40,792 |
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| 2 | Data Science | 28,950 |
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| 3 | Political Science | 12,416 |
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---
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### Flickr8k Dataset
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Source: [habedi/flickr-8k-dataset-clean](https://www.kaggle.com/datasets/habedi/flickr-8k-dataset-clean)
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Each row contains:
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- `id`: image filename
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- `captions`: list of 5 human-written captions
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- `image`: raw image (in JPEG format)
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- `embedding`: list of six 768-dimensional vectors: 5 for captions, 1 for image
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Caption embeddings were generated using the `sentence-transformers/all-mpnet-base-v2` model.
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Image embeddings were created using the `openai/clip-vit-base-patch32` model via the HuggingFace Transformers library.
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| Index | Dataset | Size |
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|-------|--------------------------|-------:|
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| 1 | Flickr 8K (captions + image) | 8,091 |
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