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 | |
| 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 |