Dataset · Hugging Face

JQL-AI/fw2_embeddings

Name: fw2_embeddings
Creator: JQL-AI
Keywords: task_categories:feature-extraction, language:sq, language:bg, language:ca, language:cs, language:da, language:de, language:es, language:et, language:el, language:eu, language:fi, language:fr, language:gl, language:ga

FineWeb2-embeddings Dataset summary FineWeb2-embeddings is an extension of the FineWeb2 dataset, annotated with document-level Snowflake's Arctic-embed-m-v2.0 embeddings for 36 languages, making the dataset useful for a variety of tasks, including document clustering, filtering, and other multilingual research. Snowflake-arctic-embed-m-v2.0 has a sequence length limit of 8192 tokens, each document's embeddings are obtained by using the CLS token to embed each… See the full description on the dataset page: https://huggingface.co/datasets/JQL-AI/fw2_embeddings.

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Author / organization	JQL-AI
Downloads	311 (as reported by Hugging Face)
Likes	2
Created	24 July 2025
Last updated at source	21 August 2025

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16 Oct 2026 Description: FineWeb2-embeddings Dataset summary FineWeb2-embeddings is an extension of the FineWeb2 dataset, annotated with document-level Snowflake's Arctic-embed-m-v2.0 embeddings for 36 languages, making the dataset useful for a variety of tasks, in → FineWeb2-embeddings Dataset summary FineWeb2-embeddings is an extension of the FineWeb2 dataset, annotated with document-level Snowflake's Arctic-embed-m-v2.0 embeddings for 36 languages, making the dataset useful for a variety of tasks, in

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