redis
langcache-embed-v1DeepSeek-R1-ReDistill-Qwen-1.5B-v1.1-GGUFDeepSeek-R1-ReDistill-Qwen-7B-v1.1-GGUFDeepSeek-R1-ReDistill-Qwen-1.5B-v1.0-GGUFDeepSeek-R1-ReDistill-Llama3-8B-v1.1-i1-GGUFlangcache-embed-v2DeepSeek-R1-ReDistill-Qwen-7B-v1.1-i1-GGUFDongfuJiang_-_prm_gsm_2k_with_full_sol_mix_ref_redistribution_hf-gguf
Datasets
All datasets matching “redis”salmubench-512-redistributed
SALMUBench Evaluation Dataset (Redistributed)
Official evaluation dataset for the SALMUBench multimodal unlearning benchmark.
Paper: "SALMUBench: A Benchmark for Sensitive Association-Level Multimodal Unlearning" (CVPR 2026)
How SALMUBench is used
Typical workflow:
Start from the Compromised model
Apply an unlearning method using the forget split
Evaluate forgetting and utility metrics
Compare results against the Clean reference model
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/cvc-mmu/salmubench-512-redistributed.PacmanDataset_Redis_Trydetails_mobiuslabsgmbh__DeepSeek-R1-ReDistill-Llama3-8B-v1.1_v2
Dataset Card for Evaluation run of mobiuslabsgmbh/DeepSeek-R1-ReDistill-Llama3-8B-v1.1
Dataset automatically created during the evaluation run of model mobiuslabsgmbh/DeepSeek-R1-ReDistill-Llama3-8B-v1.1.
The dataset is composed of 116 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_mobiuslabsgmbh__DeepSeek-R1-ReDistill-Llama3-8B-v1.1_v2.omnimcp_python_redis_caching_teaser
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📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_python_redis_caching_teaser.salmu-512-redistributed
SALMU Training Dataset (Redistributed)
Sensitive training dataset used in SALMUBench model training experiments.
Paper: "SALMUBench: A Benchmark for Sensitive Association-Level Multimodal Unlearning" (CVPR 2026)
Dataset description
This dataset contains synthetic image-text associations linking identities with sensitive attributes.
Examples include associations with:
locations
phone numbers
email addresses
financial identifiers
These associations simulate the… See the full description on the dataset page: https://huggingface.co/datasets/cvc-mmu/salmu-512-redistributed.langcache-sentencepairs-v1
Redis LangCache Sentence Pairs Dataset
A large, consolidated collection of English sentence pairs for training and evaluating semantic similarity, retrieval, and re-ranking models.
It merges widely used benchmarks into a single schema with consistent fields and ready-made splits.
Dataset Details
Dataset Description
Name: langcache-sentencepairs-v1
Summary: Sentence-pair dataset created to fine-tune encoder-based embedding and re-ranking models. It… See the full description on the dataset page: https://huggingface.co/datasets/redis/langcache-sentencepairs-v1.