datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
scannetppScaleDF
Summary
This is the dataset proposed in our paper Scaling Laws for Deepfake Detection.
ScaleDF is the largest dataset in the deepfake detection domain to date. It contains over 5.8 million real images from 51 different datasets (domains) and more than 8.8 million fake images generated by 102 deepfake methods.
Using ScaleDF, we observe power-law scaling similar to that shown in large language models (LLMs). Specifically, the average detection error follows a predictable… See the full description on the dataset page: https://huggingface.co/datasets/WenhaoWang/ScaleDF.SCARED-C
Dataset Card for SCARED-C
SCARED-C is a corrected version of the SCARED endoscopic depth estimation dataset. By replacing the original kinematics-based camera poses with poses re-estimated through Structure-from-Motion (COLMAP) followed by a metric scale recovery step, SCARED-C expands the number of reliable RGB-D pairs in SCARED from 35 keyframes to 17,135 frames — a roughly 490× increase in reliably labeled real-tissue surgical data.
Left: original SCARED depth maps misaligned… See the full description on the dataset page: https://huggingface.co/datasets/juseonghan/SCARED-C.scannetpp_processedprocessed_scannetTreeOfLife-10M
Dataset Card for TreeOfLife-10M
Dataset Summary
With over 10 million images covering 454 thousand taxa in the tree of life, TreeOfLife-10M is the largest-to-date ML-ready dataset of images of biological organisms paired with their associated taxonomic labels. It expands on the foundation established by existing high-quality datasets, such as iNat21 and BIOSCAN-1M, by further incorporating newly curated images from the Encyclopedia of Life (eol.org), which supplies most of… See the full description on the dataset page: https://huggingface.co/datasets/ScarlettChan/TreeOfLife-10M.ScanNet_for_ScanQA_SQA3Dscalevln_90ScanNetPPGPQA_verifications_GenRM-Base_Llama-3.3-70B-InstructMATH128_verifications_GenRM-FT_Llama-3.1-8B-Instructkontinuous_kontext_scaleMATH128_verifications_GenRM-FT_Qwen-2.5-7B-InstructAIME25_verifications_QwQ32Bdsm-muz-scalescam-nonscam-youtube-callsMATH128_Solutions_Llama-3.1-8B-InstructMATH128_Solutions_Qwen-2.5-7B-InstructMATH128_Solutions_Llama-3.3-70B-Instructgf_scanobject_ss_0.01chicago-police-scannertun3d_scannet_detectionICASSP2024-Acoustic_Scattering_AI-Noninvasive_Object_ClassificationsMATH128_verifications_Llama-3.3-70B-Instruct_GenRM-Basescannetpp_processed