Dataset Creation and Evaluation

insight - 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.

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