Datasets:
File size: 904 Bytes
a473fef 89196e1 e9ead27 1da9100 89196e1 e9ead27 371e879 6ac232e 371e879 8dd6111 a473fef 8dd6111 12512cc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 |
---
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/
### Future work
We are planning to take this up to 10M (and possibly 100M) vectors. Contact [@KShivendu_](https://twitter.com/KShivendu_) if you want to help :)
### Credits:
This dataset was generated from the first 1M entries of https://huggingface.co/datasets/BeIR/dbpedia-entity |