Kskip/Luminous
Text Generation • 8B • Updated
• 5
_id stringlengths 11 144 | title stringlengths 1 134 | text stringlengths 1 12.5k | openai sequence |
|---|---|---|---|
<dbpedia:Animalia_(book)> | Animalia (book) | Animalia is an illustrated children's book by Graeme Base. It was originally published in 1986, followed by a tenth anniversary edition in 1996, and a 25th anniversary edition in 2012. Over three million copies have been sold. A special numbered and signed anniversary edition was also published in 1996, with an embossed gold jacket. | [
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<dbpedia:Academy_Award_for_Best_Production_Design> | Academy Award for Best Production Design | The Academy Awards are the oldest awards ceremony for achievements in motion pictures. The Academy Award for Best Production Design recognizes achievement in art direction on a film. The category's original name was Best Art Direction, but was changed to its current name in 2012 for the 85th Academy Awards. This change resulted from the Art Director's branch of the Academy being renamed the Designer's branch. | [
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<dbpedia:An_American_in_Paris> | An American in Paris | An American in Paris is a jazz-influenced symphonic poem by the American composer George Gershwin, written in 1928. Inspired by the time Gershwin had spent in Paris, it evokes the sights and energy of the French capital in the 1920s and is one of his best-known compositions.Gershwin composed An American in Paris on commission from the conductor Walter Damrosch. He scored the piece for the standard instruments of the symphony orchestra plus celesta, saxophones, and automobile horns. | [
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<dbpedia:Astronomer> | Astronomer | An astronomer is a scientist in the field of astronomy who studies stars, planets, moons, comets, and galaxies, as well as many other celestial objects. A related but distinct subject, cosmology, is concerned with studying the universe as a whole. An astronomer researches the world beyond Earth. | [
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<dbpedia:Answer> | Answer | Generally, an answer is a reply to a question. | [
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<dbpedia:American_Football_Conference> | American Football Conference | "The American Football Conference (AFC) is one of the two conferences of the National Football Leagu(...TRUNCATED) | [-0.0033300628419965506,0.0005099059781059623,0.01725664548575878,0.006193472538143396,-0.0225771274(...TRUNCATED) |
<dbpedia:Adobe> | Adobe | "Adobe (/əˈdoʊbi/, UK /əˈdoʊb/, Spanish pronunciation: [aˈðoβe], from Spanish: mud brick, f(...TRUNCATED) | [-0.0027128285728394985,-0.007260563783347607,-0.04277275875210762,-0.021478619426488876,-0.01913310(...TRUNCATED) |
<dbpedia:Animation> | Animation | "Animation is the process of creating the illusion of motion and shape change by means of the rapid (...TRUNCATED) | [-0.0294082872569561,-0.019210048019886017,0.005626070313155651,-0.013404120691120625,0.008147231303(...TRUNCATED) |
<dbpedia:Acid> | Acid | "An acid (from the Latin acidus/acēre meaning sour) is a chemical substance whose aqueous solutions(...TRUNCATED) | [0.02774829789996147,0.014431649819016457,0.01364608108997345,-0.026760002598166466,-0.0257970485836(...TRUNCATED) |
<dbpedia:Alkane> | Alkane | "In organic chemistry, an alkane, or paraffin (a historical name that also has other meanings), is a(...TRUNCATED) | [-0.0010083531960844994,0.00443263491615653,-0.004777994006872177,-0.03178570047020912,-0.0354864262(...TRUNCATED) |
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/
@dataset{dbpedia-entities-openai-1M,
doi = {10.57967/hf/6768},
url = {https://huggingface.co/datasets/KShivendu/dbpedia-entities-openai-1M},
author = {{Kumar Shivendu} and {Nirant Kasliwal}},
title = {dbpedia-entities-openai-1M},
year = {2023},
publisher = {Hugging Face},
journal = {huggingface datasets}
}
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 :)
This dataset was generated from the first 1M entries of https://huggingface.co/datasets/BeIR/dbpedia-entity