サインイン
インサイト - Dataset Creation and Evaluation
DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments
提案されたDOZEデータセットは、動的環境でのオープンボキャブラリー・ゼロショット物体ナビゲーションのためのものであり、静的および動的な障害物、オープンボキャブラリー物体、異なる空間および外観属性を持つ物体、そしてヒントオブジェクトを含んでいます。
MIntRec2.0: A Large-Scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-Scope Detection in Conversations
Multimodal intent recognition dataset MIntRec2.0 addresses challenges in out-of-scope detection, enhancing human-machine conversational interactions.
PEARL: A Review-driven Persona-Knowledge grounded Conversational Recommendation Dataset
Conversational recommender systems benefit from persona and knowledge augmentation, as demonstrated by the PEARL dataset.
MuSHRoom: Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis
Proposing a real-world dataset and benchmark for evaluating pipelines on 3D reconstruction accuracy and novel view synthesis quality.
WanJuan-CC: A Safe and High-Quality Open-sourced English Webtext Dataset
WanJuan-CC is a safe and high-quality English webtext dataset derived from Common Crawl, created through a meticulous process to ensure data safety and quality.
