---
license: mit
dataset_info:
  features:
  - name: _id
    dtype: string
  - name: title
    dtype: string
  - name: text
    dtype: string
  - name: openai
    sequence: float32
  splits:
  - name: train
    num_bytes: 12383152
    num_examples: 1000000
  download_size: 12383152
  dataset_size: 1000000
language:
- en
task_categories:
  - feature-extraction
pretty_name: OpenAI 1M with DBPedia Entities
size_categories:
- 1M<n<10M
---

1M OpenAI Embeddings -- 1536 dimensions

Created: June 2023.
Text used for Embedding: title (string) + text (string)
Embedding Model: text-embedding-ada-002


First used for the pgvector vs VectorDB (Qdrant) benchmark: https://nirantk.com/writing/pgvector-vs-qdrant/

### Future work
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 :)

### Credits:
This dataset was generated from the first 1M entries of https://huggingface.co/datasets/BeIR/dbpedia-entity