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  # Recipe Short - Dense and Sparse Embeddings Dataset
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- This dataset is based on the [rk404/recipe_short](https://huggingface.co/datasets/rk404/recipe_short) dataset. It includes dense and sparse embeddings for each recipe, generated using two specific models:
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  1. **Dense Embeddings**: Created using the `sentence-transformers/all-MiniLM-L6-v2` model with `fastembed` library.
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  2. **Sparse Embeddings**: Generated using the `Qdrant/bm25-all-minilm-l6-v2-attentions` model with `fastembed` library.
 
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  # Recipe Short - Dense and Sparse Embeddings Dataset
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+ This dataset is based on the [rk404/recipe_short](https://huggingface.co/datasets/rk404/recipe_short) dataset, which itself is derived from the [RecipeNLG](https://recipenlg.cs.put.poznan.pl/) dataset. RecipeNLG is a large-scale, high-quality dataset designed for natural language generation tasks in the culinary domain. This dataset includes dense and sparse embeddings for each recipe, generated using the following models:
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  1. **Dense Embeddings**: Created using the `sentence-transformers/all-MiniLM-L6-v2` model with `fastembed` library.
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  2. **Sparse Embeddings**: Generated using the `Qdrant/bm25-all-minilm-l6-v2-attentions` model with `fastembed` library.