PleasedPenguin/HEAR
HEAR 🎉 EMNLP 2026 main conference 🎉 📄 arXiv · 🌐 Project page · 💻 Code · 🤗 Dataset · 🧠 Model Hierarchical Evaluation of Attribution and Reasoning, a benchmark for speaker-attributed understanding of multi-party speech. Most speech benchmarks can be solved by transcribing the audio and reading the text. HEAR cannot. Every question asks something about who is speaking, not only what is said, and roughly half the benchmark comes… See the full description on the dataset page: https://huggingface.co/datasets/PleasedPenguin/HEAR.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face