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AI Dataset2026
LLM Self Identification
A compact dataset of prompt templates and examples designed to teach LLMs to consistently report model identity fields (model ID, name, creator, family, architecture, parameter count, knowledge cutoff). Includes regex markers, usage guidance, example replacements, and a small personalization script for fine‑tuning or runtime substitution.
Introduction
Information
- Websitehuggingface.co
- OrganizationsSupraLabs
- Published date2026/07/26
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Wendi Sang, Kai Li +3School of Computer Technology and Application, Qinghai University, Xining 810016, China, Department of Computer Science and Technology, Institute for AI, BNRist, Tsinghua Laboratory of Brain and Intelligence (THBI), IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China +2
Extracts a target speaker’s speech from mixed audio using that speaker’s mouth video, with causal streaming inference. It introduces a single-pass multi-scale separator and the RealSSA benchmark for dynamic, realistic acoustic scenes.
AI Dataset2026
Provides images of LG appliances and electronics that can serve as visual references for robotics simulation scenes. The dataset is marked as image-format data and does not document simulation properties beyond the images.
AI Dataset2026
Evaluates document parsers on 100–300-page documents, including cross-page text, tables, and layout structure. Its scale exposes failures that page-level benchmarks can miss.