Datasets:
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
pretty_name: OpenAI 1M with DBPedia Entities
size_categories:
- 1M<n<10M
1M OpenAI Embeddings (1536 dimensions) from June 2023.
Text used for Embedding: title (string) + text (string)
First used for the pgvector vs VectorDB (Qdrant) benchmark: https://nirantk.com/writing/pgvector-vs-qdrant/