CoolFace
7 shown

datasets

Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

modalityAllTextImageAudioTabularVideo
taskAllText generationQuestion answeringImage classificationSpeech
sizeAllUnder 1K1K – 10K100K – 1M1M – 10M
formatAllParquetJSONCSVWebDataset
sortTrendingMost likedMost usedRecently updatedNewest
Clear all
01Snowflake /msmarco-v2.1-snowflake-arctic-embed-l Snowflake Arctic Embed L Embeddings for MSMARCO V2.1 for TREC-RAG This dataset contains the embeddings for the MSMARCO-V2.1 dataset which is used as the corpora for TREC RAG All embeddings are created using Snowflake's Arctic Embed L and are intended to serve as a simple baseline for dense retrieval-based methods. Retrieval Performance Retrieval performance for the TREC DL21-23, MSMARCOV2-Dev and Raggy Queries can be found below with BM25 as a baseline. For both… See the full description on the dataset page: https://huggingface.co/datasets/Snowflake/msmarco-v2.1-snowflake-arctic-embed-l.textquestion-answering10M<n<100M0 likes2.4k downloads2y agoHugging Face02Snowflake /mteb-retrieval-snowflake-arctic-embed-m-v1.5text10M<n<100M0 likes1.1k downloads2y agoHugging Face03Snowflake /msmarco-v2.1-snowflake-arctic-embed-m-v1.5 Snowflake Arctic Embed M V1.5 Embeddings for MSMARCO V2.1 for TREC-RAG This dataset contains the embeddings for the MSMARCO-V2.1 dataset which is used as the corpora for TREC RAG All embeddings are created using Snowflake's Arctic Embed M v1.5 and are intended to serve as a simple baseline for dense retrieval-based methods. It's worth noting that Snowflake's Arctic Embed M v1.5 is optimized for efficient embeddings and thus supports embedding truncation and quantization. More… See the full description on the dataset page: https://huggingface.co/datasets/Snowflake/msmarco-v2.1-snowflake-arctic-embed-m-v1.5.textquestion-answering10M<n<100M0 likes785 downloads2y agoHugging Face04Snowflake /msmarco-v2.1-snowflake-arctic-embed-m-v2.0 Snowflake Arctic Embed M V2.0 Embeddings for MSMARCO V2.1 for TREC-RAG This dataset contains the embeddings for the MSMARCO-V2.1 dataset which is used as the corpora for TREC RAG All embeddings are created using Snowflake's Arctic Embed M v2.0 and are intended to serve as a simple baseline for dense retrieval-based methods. Note, that the embeddings are not normalized so you will need to normalize them before usage. Retrieval Performance Retrieval performance for… See the full description on the dataset page: https://huggingface.co/datasets/Snowflake/msmarco-v2.1-snowflake-arctic-embed-m-v2.0.textquestion-answering10M<n<100M0 likes123 downloads1y agoHugging Face05much1na /nanobeir-snowflake-arctic-embed-m-v1.5text10K<n<100K0 likes60 downloads27d agoHugging Face06lemon-mint /embedded_testdata_snowflake_arctic_embed_ltext10K<n<100K0 likes8 downloads2y agoHugging Face07bobox /MSMARCObm25Triplets-labeled-MarginMSE-snowflake-arctic-embed-ltext100K<n<1M0 likes5 downloads1y agoHugging Face

Listings come live from the Hugging Face Hub API. CoolFace does not host these files.