---
language:
- en
size_categories:
- 10M<n<100M
---
Containing 768-dimensional embedding vectors derived from the "content" column of the RefinedWeb dataset.<br>
The embeddings were generated using the E5-Base-4k model with a context length of 1024, employing scaled dot-product attention.

**Original dataset:**<br>
This dataset bases as derivative work on [RefinedWeb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb), an English web dataset created by the [TII (Technology Innovation Institute)](https://www.tii.ae/).<br>
Attribution is given to the TII as original authors of the RefinedWeb dataset as per Section 4 of RefinedWeb's Open Data Commons Attribution License (ODC-By).

- Embedding Model: E5-Base-4k
- Embedding Dimensions: 768
- Embedding Context Length: 1024 tokens
- Embedding Implementation Specifics: Scaled Dot-Product Attention
- Embedding Scope: For embedding, all but the "content" field are disregarded.

**Original Dataset Link:**<br>
https://huggingface.co/datasets/tiiuae/falcon-refinedweb