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--- |
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license: mit |
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dataset_info: |
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features: |
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- name: _id |
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dtype: string |
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- name: title |
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dtype: string |
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- name: text |
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dtype: string |
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- name: openai |
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sequence: float32 |
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splits: |
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- name: train |
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num_bytes: 12383152 |
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num_examples: 1000000 |
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download_size: 12383152 |
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dataset_size: 1000000 |
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language: |
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- en |
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pretty_name: OpenAI 1M with DBPedia Entities |
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size_categories: |
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- 1M<n<10M |
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--- |
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1M OpenAI Embeddings (1536 dimensions) from June 2023. |
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Text used for Embedding: title (string) + text (string) |
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First used for the pgvector vs VectorDB (Qdrant) benchmark: https://nirantk.com/writing/pgvector-vs-qdrant/ |
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### Future work |
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We are planning to take this up to 10M (and possibly 100M) vectors. Contact [@KShivendu_](https://twitter.com/KShivendu_) on Twitter or mail to hello@nirantk.com if you want to help :) |
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### Credits: |
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This dataset was generated from the first 1M entries of https://huggingface.co/datasets/BeIR/dbpedia-entity |
