CoolFace
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mini

dalle-mini /witimage1M<n<10M7 likes134k downloads5y agoHugging FaceJonasbj99 /SignLanguage_MiniProjectDataset used for training a model to classify Danish Sign Language signs, based on MediaPipe hand landmark data. The data is not split into training, test and validation sets. The dataset consist of four classes, 'unknown', 'hello', 'bye' and 'thanks'. There are 30 datapoints for each class. Each data point is 30 frames of data stored in individual Numpy files with x, y and z values for each hand landmark. video-classification0 likes27k downloads2y agoHugging Facefarama-minari /minigrid1 likes27k downloads2y agoHugging Facedeadbits /vigil-jailbreak-all-MiniLM-L6-v2 Vigil: LLM Jailbreak all-MiniLM-L6-v2 Repo: github.com/deadbits/vigil-llm Vigil is a Python framework and REST API for assessing Large Language Model (LLM) prompts against a set of scanners to detect prompt injections, jailbreaks, and other potentially risky inputs. This repository contains all-MiniLM-L6-v2 embeddings for all "jailbreak" prompts used by Vigil. You can use the parquet2vdb.py utility to load the embeddings in the Vigil chromadb instance, or use them in your own… See the full description on the dataset page: https://huggingface.co/datasets/deadbits/vigil-jailbreak-all-MiniLM-L6-v2.textn<1K2 likes17k downloads3y agoHugging Faceqixuewei /nuReasoning_minigated nuReasoning Full dataset Paper website nuReasoning website nuReasoning is a reasoning-centric multimodal autonomous driving dataset for evaluating and training end-to-end driving systems in long-tail real-world scenarios. Each sample is built around a driving clip with synchronized multi-camera images, LiDAR data, ego state, object annotations, HD map, routing, and frame-level reasoning annotations. Reasoning annotations are organized into three complementary fields:… See the full description on the dataset page: https://huggingface.co/datasets/qixuewei/nuReasoning_mini.visual-question-answering10K<n<100K28 likes13k downloads4d agoHugging Facepollen-robotics /reachy-mini-emotions-library Reachy Mini Emotions Library Curated emotion recordings for the Reachy Mini robot, maintained by Pollen Robotics. Each move is a JSON trajectory (head pose, antennas, body yaw, sampled over time) paired with an Opus audio track. Motion is sampled at 50 Hz; audio is mono Ogg/Opus (decoded natively by the robot). Requires reachy_mini ≥ v1.8.4 (its move loader resolves non-.wav audio sidecars). File layout Files live at the root of the dataset, named <emotion>.json +… See the full description on the dataset page: https://huggingface.co/datasets/pollen-robotics/reachy-mini-emotions-library.audioroboticsn<1K18 likes12k downloads3mo agoHugging Face