Datasets:
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 | |
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 [email protected] if you want to help :) | |
### Credits: | |
This dataset was generated from the first 1M entries of https://huggingface.co/datasets/BeIR/dbpedia-entity |