CoolFace
20 results

pairs

arcee-ai /distilabel-intel-orca-dpo-pairs-binarizedThis is the binarized version of distilabel Orca Pairs for DPO and ORPO. Reference: https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs?row=0 text10K<n<100K1 likes24k downloads2y agoHugging Faceargilla /distilabel-intel-orca-dpo-pairs distilabel Orca Pairs for DPO The dataset is a "distilabeled" version of the widely used dataset: Intel/orca_dpo_pairs. The original dataset has been used by 100s of open-source practitioners and models. We knew from fixing UltraFeedback (and before that, Alpacas and Dollys) that this dataset could be highly improved. Continuing with our mission to build the best alignment datasets for open-source LLMs and the community, we spent a few hours improving it with… See the full description on the dataset page: https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs.text10K<n<100K182 likes23k downloads1y agoHugging Facerynmurdock /Pexels-Pairs-Masklets-330K3 likes13k downloads2mo agoHugging FaceHuggingFaceH4 /orca_dpo_pairs Dataset Card for Orca DPO Pair Dataset Description This is a pre-processed version of the OpenOrca dataset. The original OpenOrca dataset is a collection of augmented FLAN data that aligns, as best as possible, with the distributions outlined in the Orca paper. It has been instrumental in generating high-performing preference-tuned model checkpoints and serves as a valuable resource for all NLP researchers and developers! Dataset Summary The OrcaDPO Pair… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceH4/orca_dpo_pairs.texttext-classification10K<n<100K31 likes2.7k downloads2y agoHugging FaceIntel /orca_dpo_pairsThe dataset contains 12k examples from Orca style dataset Open-Orca/OpenOrca. text10K<n<100K324 likes2.3k downloads3y agoHugging Facemoca-embed /MoCa-CL-Pairs MoCa Contrastive Learning Data 🏠 Homepage | 💻 Code | 🤖 MoCa-Qwen25VL-7B | 🤖 MoCa-Qwen25VL-3B | 📚 Datasets | 📄 Paper This dataset contains datasets used for the supervised finetuning of MoCa (MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings): MMEB (with hard negative) InfoSeek (from M-BEIR) TAT-DQA ArxivQAVisRAG ViDoRe ColPali E5 text pairs (can not release due to restrictions of Microsoft) Image Preparation First, you… See the full description on the dataset page: https://huggingface.co/datasets/moca-embed/MoCa-CL-Pairs.text1M<n<10M0 likes2.1k downloads1y agoHugging Face