person
Datasets
All datasets matching “person”explore-persona-space-dataTaskCraft
Dataset Card for TaskCraft
TaskCraft is a multi-modal benchmark dataset featuring tasks ranging from simple (1-step) to expert-level (4-step+). It contains over 40,000 meticulously curated task instances designed to advance research in:
Agent-based task processing
Tool invocation systems
Multi-step reasoning
Dataset Details
Tool Utilization
Tool Category
Instances
PDF Processor
13,400+
HTML Parser
19,200+
Image Analyzer
8,100+… See the full description on the dataset page: https://huggingface.co/datasets/PersonalAILab/TaskCraft.PersonaMem-v2
PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory
📅 We have now released PersonaMem-v3!
🚨 The paper is now released. View the full paper here and codebase here.
Personalization is becoming the next milestone of artificial super-intelligence. AI cannot always satisfy every user, especially on tasks with subjective goals, but personalization offers a path toward pluralistic alignment.… See the full description on the dataset page: https://huggingface.co/datasets/bowen-upenn/PersonaMem-v2.tulu-3-sft-personas-instruction-following
Dataset Descriptions
This dataset contains 29980 examples and is synthetically created to enhance model's capabilities to follow instructions precisely and to satisfy user constraints. The constraints are borrowed from the taxonomy in IFEval dataset.
To generate diverse instructions, we expand the methodology in Ge et al., 2024 by using personas. More details and exact prompts used to construct the dataset can be found in our paper.
Curated by: Allen Institute for AI
Paper: TBD… See the full description on the dataset page: https://huggingface.co/datasets/allenai/tulu-3-sft-personas-instruction-following.Person2Drive
Person2Drive
Person2Drive is the dataset and benchmark repository for the ECCV 2026 paper:
Driving like yourself: A Benchmark for Closed-Loop Personalized End-to-End Autonomous Driving
Overview
Person2Drive is a CARLA-based benchmark for studying personalized end-to-end autonomous driving. It contains human driving records collected in closed-loop simulation environments and is organized at the driver level.
The goal of the benchmark is to support research on… See the full description on the dataset page: https://huggingface.co/datasets/dongxr7/Person2Drive.PersonaHub
Scaling Synthetic Data Creation with 1,000,000,000 Personas
This repo releases data introduced in our paper Scaling Synthetic Data Creation with 1,000,000,000 Personas:
We propose a novel persona-driven data synthesis methodology that leverages various perspectives within a large language model (LLM) to create diverse synthetic data. To fully exploit this methodology at scale, we introduce PERSONA HUB – a collection of 1 billion diverse personas automatically curated from web… See the full description on the dataset page: https://huggingface.co/datasets/proj-persona/PersonaHub.