preference
embeddings-for-preferences-st5-xlGemma2-9B-IT-Simpo-Infinity-Preference-i1-GGUFRLHFlow_-_pair-preference-model-LLaMA3-8B-ggufSongTonyLi_-_Phi-3.5-mini-instruct-SFT-D_chosen-skywork-preference-Xlarge-ggufSongTonyLi_-_gemma-2b-it-SFT-D1_chosen-then-D2_chosen-distilabel-math-preference-ggufR3-Qwen3-14B-LoRA-Preference-Only-v1.1-i1-GGUFRLHFlow-pair-preference-model-LLaMA3-8B-GGUFpair-preference-model-LLaMA3-8B-i1-GGUF
ultrafeedback-binarized-preferences-cleaned
UltraFeedback - Binarized using the Average of Preference Ratings (Cleaned)
This dataset represents a new iteration on top of argilla/ultrafeedback-binarized-preferences,
and is the recommended and preferred dataset by Argilla to use from now on when fine-tuning on UltraFeedback.
Read more about Argilla's approach towards UltraFeedback binarization at argilla/ultrafeedback-binarized-preferences/README.md.
Differences with argilla/ultrafeedback-binarized-preferences… See the full description on the dataset page: https://huggingface.co/datasets/argilla/ultrafeedback-binarized-preferences-cleaned.ultrafeedback-binarized-preferences-cleaned-kto
UltraFeedback - Binarized using the Average of Preference Ratings (Cleaned) KTO
A KTO signal transformed version of the highly loved UltraFeedback Binarized Preferences Cleaned, the preferred dataset by Argilla to use from now on when fine-tuning on UltraFeedback
This dataset represents a new iteration on top of argilla/ultrafeedback-binarized-preferences,
and is the recommended and preferred dataset by Argilla to use from now on when fine-tuning on UltraFeedback.
Read more about… See the full description on the dataset page: https://huggingface.co/datasets/argilla/ultrafeedback-binarized-preferences-cleaned-kto.stack-exchange-preferences
Dataset Card for H4 Stack Exchange Preferences Dataset
Dataset Summary
This dataset contains questions and answers from the Stack Overflow Data Dump for the purpose of preference model training.
Importantly, the questions have been filtered to fit the following criteria for preference models (following closely from Askell et al. 2021): have >=2 answers.
This data could also be used for instruction fine-tuning and language model training.
The questions are grouped with… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceH4/stack-exchange-preferences.open-image-preferences-v1
Open Image Preferences
Prompt: Anime-style concept art of a Mayan Quetzalcoatl biomutant, dystopian world, vibrant colors, 4K.
Image 1
Image 2
Prompt: 8-bit pixel art of a blue knight, green car, and glacier landscape in Norway, fantasy style, colorful and detailed.
Image 1… See the full description on the dataset page: https://huggingface.co/datasets/data-is-better-together/open-image-preferences-v1.preference-test-sets
Preference Test Sets
Very few preference datasets have heldout test sets for validation of reward model accuracy results.
In this dataset, we curate the test sets from popular preference datasets into a common schema for easy loading and evaluation.
Anthropic HH (Helpful & Harmless Agent and Red Teaming), test set in full is 8552 samples
Anthropic HHH Alignment (Helpful, Honest, & Harmless), formatted from Big Bench for standalone evaluation.
Learning to summarize, downsampled from… See the full description on the dataset page: https://huggingface.co/datasets/allenai/preference-test-sets.lora-fusing-preferences