
# OpenAI, all-MiniLM-L6-v2, GTE-small embeddings for Wikipedia Simple English

Texts and OpenAI embeddings are genereted by Stephan Sturges, big thanks for sharing [this dataset](https://www.kaggle.com/datasets/stephanst/wikipedia-simple-openai-embeddings).

Here we added embeddings for [`all-MiniLM-L6-v2`](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) and [`GTE-small`](https://huggingface.co/thenlper/gte-small).

Total 224,482 vectors for each model.

## Notes

These are the embeddings and corresponded simplified articles from the wikipedia "simple english" dump.

Please see wikipedia's licensing for usage information: https://en.wikipedia.org/wiki/Wikipedia:Copyrights

Please see OpenAI's terms of service for usage of the embeddings:
https://platform.openai.com/docs/guides/embeddings/can-i-share-my-embeddings-online

For the purposes of this dataset, the embeddings are published under MIT license.
size_categories:100K<n<1M language:en license:mit region:us
{"language": ["en"], "license": "mit", "size_categories": ["100K<n<1M"], "pretty_name": "OpenAI, all-MiniLM-L6-v2, GTE-small embeddings for Wikipedia Simple English"}
TAGS
#size_categories-100K<n<1M #language-English #license-mit #region-us 


# OpenAI, all-MiniLM-L6-v2, GTE-small embeddings for Wikipedia Simple English

Texts and OpenAI embeddings are genereted by Stephan Sturges, big thanks for sharing this dataset.

Here we added embeddings for 'all-MiniLM-L6-v2' and 'GTE-small'.

Total 224,482 vectors for each model.

## Notes

These are the embeddings and corresponded simplified articles from the wikipedia "simple english" dump.

Please see wikipedia's licensing for usage information: URL

Please see OpenAI's terms of service for usage of the embeddings:
URL

For the purposes of this dataset, the embeddings are published under MIT license.
# OpenAI, all-MiniLM-L6-v2, GTE-small embeddings for Wikipedia Simple English

Texts and OpenAI embeddings are genereted by Stephan Sturges, big thanks for sharing this dataset.

Here we added embeddings for 'all-MiniLM-L6-v2' and 'GTE-small'.

Total 224,482 vectors for each model. ## Notes

These are the embeddings and corresponded simplified articles from the wikipedia "simple english" dump.

Please see wikipedia's licensing for usage information: URL

Please see OpenAI's terms of service for usage of the embeddings:
URL

For the purposes of this dataset, the embeddings are published under MIT license.
TAGS
#size_categories-100K<n<1M #language-English #license-mit #region-us 
 # OpenAI, all-MiniLM-L6-v2, GTE-small embeddings for Wikipedia Simple English

Texts and OpenAI embeddings are genereted by Stephan Sturges, big thanks for sharing this dataset.

Here we added embeddings for 'all-MiniLM-L6-v2' and 'GTE-small'.

Total 224,482 vectors for each model. ## Notes

These are the embeddings and corresponded simplified articles from the wikipedia "simple english" dump.

Please see wikipedia's licensing for usage information: URL

Please see OpenAI's terms of service for usage of the embeddings:
URL

For the purposes of this dataset, the embeddings are published under MIT license.
passage: TAGS
#size_categories-100K<n<1M #language-English #license-mit #region-us 
# OpenAI, all-MiniLM-L6-v2, GTE-small embeddings for Wikipedia Simple English

Texts and OpenAI embeddings are genereted by Stephan Sturges, big thanks for sharing this dataset.

Here we added embeddings for 'all-MiniLM-L6-v2' and 'GTE-small'.

Total 224,482 vectors for each model.## Notes

These are the embeddings and corresponded simplified articles from the wikipedia "simple english" dump.

Please see wikipedia's licensing for usage information: URL

Please see OpenAI's terms of service for usage of the embeddings:
URL

For the purposes of this dataset, the embeddings are published under MIT license.