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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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@@ -11,11 +11,11 @@ Source: [habedi/stack-exchange-dataset](https://huggingface.co/datasets/habedi/s
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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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  |-------|---------------------|--------:|
@@ -31,13 +31,14 @@ Source: [habedi/flickr-8k-dataset-clean](https://www.kaggle.com/datasets/habedi/
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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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  ## 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 testing and benchmarking multi-vector approximate nearest neighbor search algorithms and their implementations.
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  ---
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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 (HTML tags removed)
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  - `tags`: associated tags (text)
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+ - `embedding`: a list of three 768-dimensional vectors for `[title, body, tags]`
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+ Text embeddings were generated using [`all-mpnet-base-v2`](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) from Sentence Transformers.
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  | Index | Dataset | Size |
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  |-------|---------------------|--------:|
 
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  Each row contains:
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  - `id`: image filename
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+ - `captions`: a list of 5 human-written captions
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+ - `image`: raw image data (JPEG format)
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+ - `embedding`: a list of six 768-dimensional vectors: 5 for captions, 1 for the image
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+ Caption embeddings were generated using [`all-mpnet-base-v2`](https://huggingface.co/sentence-transformers/all-mpnet-base-v2).
 
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+ Image embeddings were generated using [`openai/clip-vit-base-patch32`](https://huggingface.co/openai/clip-vit-base-patch32) via the Hugging Face Transformers library.
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+
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+ | Index | Dataset | Size |
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+ |-------|------------------------------|-------:|
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+ | 1 | Flickr8k (captions + image) | 8,091 |