CoolFace
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asp

urbanaudiosensing /ASPED ASPED: An Audio Dataset for Detecting Pedestrians This repo contains the data for the ASPED dataset, presented at ICASSP 2024. Paper Link, Project Homepage Pavan Seshadri, Chaeyeon Han, Bon-Woo Koo, Noah Posner, Suhbrajit Guhathakurta, Alexander Lerch Usage This dataset contains audio and video recordings of pedestrian activity collected at various locations in and around Georgia Tech. Labels of pedestrian counts per each second of audio/video are provided as well… See the full description on the dataset page: https://huggingface.co/datasets/urbanaudiosensing/ASPED.audio-classificationn>1T3 likes2.2k downloads3y agoHugging Faceasparius /ais-em-artifacts0 likes1.1k downloads1d agoHugging Faceasparius /ais-em-code (Some) Natural Emergent Misalignment from Reward Hacking in Non-Production RL Note: This is a reference implementation accompanying our blog post. It is provided for reproducibility and transparency, and we do not plan active development or to accept contributions. If you encounter issues you can't resolve, please email us at satvik.golechha@dsit.gov.uk or sid.black@dsit.gov.uk. Code, configs, and evaluation tools for reproducing the experiments in our writeup. We reproduce… See the full description on the dataset page: https://huggingface.co/datasets/asparius/ais-em-code.0 likes739 downloads1d agoHugging FaceNoraResearchLab /Environmental_geology-aspect Aspect Overview This repository contains the Aspect dataset, part of the Environmental Geology suite maintained by NORA Research Lab. The data is processed into Cloud-Optimized GeoTIFF (COG) format for efficient geospatial analysis. Dataset Details Variable: Aspect Units: degrees (0-360, 0=N) Format: Cloud-Optimized GeoTIFF (COG) Compression: ZSTD Coordinate System: EPSG:4326 (WGS84) Spatial Resolution: ~30 metres (1 arc-second)… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/Environmental_geology-aspect.imagen<1K0 likes618 downloads1mo agoHugging Faceneulab /wiki_aspWikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic domain. In this task, models are asked to summarize cited reference documents of a Wikipedia article into aspect-based summaries. Each of the 20 domains include 10 domain-specific pre-defined aspects.summarization10K<n<100K4 likes423 downloads3y agoHugging FaceAspectRS /wikipedia Dataset Card for Wikimedia Wikipedia Dataset Summary Wikipedia dataset containing cleaned articles of all languages. The dataset is built from the Wikipedia dumps (https://dumps.wikimedia.org/) with one subset per language, each containing a single train split. Each example contains the content of one full Wikipedia article with cleaning to strip markdown and unwanted sections (references, etc.). All language subsets have already been processed for recent dump… See the full description on the dataset page: https://huggingface.co/datasets/AspectRS/wikipedia.texttext-generation10M<n<100M1 likes410 downloads2mo agoHugging Face