The top 5 Hugging Face models and datasets by download growth over the 1-day window ending 6 November 2026, measured by RiseFinder.
| Rank | Name | Before → after | Change |
|---|---|---|---|
| 1 | TacVerse/TacVerse | 796 → 1,637 downloads | +105.7% |
| 2 | ShapeNet/ShapeNetCore | 12,969 → 15,226 downloads | +17.4% |
| 3 | LiquidAI/LFM3-Omni-2B | 13,057 → 14,315 downloads | +9.6% |
| 4 | moondream/refcoco-m | 1,329 → 1,455 downloads | +9.5% |
| 5 | Vyber07/cyber-security | 10,815 → 11,728 downloads | +8.4% |
TacVerse is a large-scale dataset for bimanual manipulation research in which every frame carries four streams of high-resolution visuotactile sensing, two per gripper, alongside synchronized camera views. It was collected with a handheld UMI gripper pair carrying Xense Neutron visuotactile sensors across three real-world scene families: office, home, and workbench.
Hugging Face dataset
Open source ↗ShapeNetCore is a dataset of annotated 3D models. This repository contains ShapeNetCore (v2), a subset of ShapeNet covering 55 common object categories with about 51,300 unique 3D models. Each model is linked to an appropriate synset in WordNet 3.0, and use of the data is subject to the ShapeNet terms of use.
Hugging Face dataset
Open source ↗LiquidAI/LFM3-Omni-2B is an AI model that handles multiple kinds of input and output in a single system. It understands text, images, video and audio, and responds in text or speech. It is built for on-device use, replacing what would otherwise require a separate ASR model, vision-language model, LLM and TTS model.
Hugging Face model
Open source ↗This dataset serves as a benchmark for referring expression segmentation. While it has historically been a standard benchmark, the evidence notes that it contains issues such as poor mask quality and harmful referring expressions. Furthermore, modern models are capable of producing masks that are more accurate than the ground-truth annotations provided in the dataset, which suggests the dataset may be an imprecise measure.
Hugging Face dataset
Open source ↗Vyber07/cyber-security is a cybersecurity knowledge base dataset intended for AI training. It covers cybersecurity domains including offensive red teaming, bug bounty exploitation, defensive SOC operations, digital forensics, and AI/LLM security. The dataset is 16 GB in size, contains 507 files, and spans more than 30 domains drawn from more than 15 platforms.
Hugging Face dataset
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