metadata
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_ 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