Datasets:
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README.md
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---
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language:
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- en
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size_categories:
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- 10M<n<100M
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---
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Containing 768-dimensional embedding vectors derived from the "content" column of the RefinedWeb dataset.<br>
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The embeddings were generated using the E5-Base-4k model with a context length of 1024, employing scaled dot-product attention.
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**Original dataset:**<br>
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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>
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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) license.
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- Embedding Model: E5-Base-4k
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- Embedding Dimensions: 768
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- Embedding Context Length: 1024 tokens
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- Embedding Implementation Specifics: Scaled Dot-Product Attention
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- Embedding Scope: For embedding, all but the "content" field are disregarded.
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**Original Dataset Link:**<br>
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https://huggingface.co/datasets/tiiuae/falcon-refinedweb
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