datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Machine_Mindset_MBTI_datasetHere are the behavior datasets used for supervised fine-tuning (SFT). And they can also be used for direct preference optimization (DPO).
The exact copy can also be found in Github.
Prefix 'en' denotes the datasets of the English version.
Prefix 'zh' denotes the datasets of the Chinese version.
Dataset introduction
There are four dimension in MBTI. And there are two opposite attributes within each dimension.
To be specific:
Energe: Extraversion (E) - Introversion (I)… See the full description on the dataset page: https://huggingface.co/datasets/pandalla/Machine_Mindset_MBTI_dataset.MBTI_dpo_t_f
Multi-Personality Generation of LLMs at Decoding-time
Paper | Code
This repository contains the DPO (Direct Preference Optimization) datasets used in the paper "Multi-Personality Generation of LLMs at Decoding-time". The study introduces the Multi-Personality Generation (MPG) framework, a novel decoding-time paradigm that enables LLMs to simultaneously embody multiple personalization attributes without extra training.
The datasets include:
🧩 MBTI Datasets
These… See the full description on the dataset page: https://huggingface.co/datasets/RongxinChen/MBTI_dpo_t_f.MBTI_dpo_j_p
Multi-Personality Generation of LLMs at Decoding-time
Paper | Code
This repository contains datasets released as part of the paper "Multi-Personality Generation of LLMs at Decoding-time". The work proposes a novel Multi-Personality Generation (MPG) framework that allows Large Language Models (LLMs) to embody multiple personalization attributes simultaneously at decoding time without extra training.
Datasets
The project releases several DPO (Direct Preference… See the full description on the dataset page: https://huggingface.co/datasets/RongxinChen/MBTI_dpo_j_p.mbti-f-t-style-responses#mbti-f-t-style-response
이 데이터는 다양한 감정적인 발화에 대해 MBTI의 F와 T 스타일대로 한 발화를 수집한 데이터입니다.
감정적인 발화의 경우 AIHub의 감성 대화 말뭉치 중 첫번째 발화를 사용했습니다.
그리고 F와 T 스타일의 발화는 언어 모델을 통해 생성했습니다.
MBTI_dpo_e_i
Multi-Personality Generation (MPG) Datasets
Paper | GitHub
This repository contains datasets released as part of the paper "Multi-Personality Generation of LLMs at Decoding-time", which was accepted at WSDM 2026.
Introduction
The Multi-Personality Generation (MPG) framework enables Large Language Models to simultaneously embody multiple personalization attributes during decoding without requiring extra training. It leverages implicit density ratios in single-dimensional… See the full description on the dataset page: https://huggingface.co/datasets/RongxinChen/MBTI_dpo_e_i.MBTIMBTI_dpo_s_n
Multi-Personality Generation of LLMs at Decoding-time
Paper | GitHub
This repository contains datasets released as part of the paper "Multi-Personality Generation of LLMs at Decoding-time". These datasets are designed for Direct Preference Optimization (DPO) to enhance the personality and role-playing capabilities of Large Language Models within the Multi-Personality Generation (MPG) framework.
Dataset Description
The authors released two main types of DPO datasets:… See the full description on the dataset page: https://huggingface.co/datasets/RongxinChen/MBTI_dpo_s_n.bemblin_v3
Bemblin Bemba–English Dataset
This dataset contains parallel translations between Bemba and English
for language learning and machine translation purposes.
Created by Technolovers Hub.
50_mbti_test