ven
Datasets
All datasets matching “ven”WebVidchina-a-share-l2-level2-limit-order-book-tick-data
China A-Share Level-2 Archive
2017–2026 · Quotes, orders and trades · Parquet
A historical archive of Chinese exchange Level-2 data, supplied through a vendor export.
It includes ten-level quote snapshots, individual order messages and trade-stream records.
The files cover A-share stocks and non-stock instruments such as ETFs and bonds.
“Full-market” describes the export's scope, not a guarantee that every instrument or message is present.
中国证券市场 Level-2… See the full description on the dataset page: https://huggingface.co/datasets/venvoo/china-a-share-l2-level2-limit-order-book-tick-data.VenusBench-GD
VenusBench-GD: A Comprehensive Multi-Platform GUI Benchmark for Diverse Grounding Tasks
Project Page: https://ui-venus.github.io/VenusBench-GD/
Introduction
GUI grounding is a critical component in building capable GUI agents. However, existing grounding benchmarks suffer from significant limitations: they either provide insufficient data volume and narrow domain coverage, or focus excessively on a single platform and require highly specialized domain… See the full description on the dataset page: https://huggingface.co/datasets/inclusionAI/VenusBench-GD.chapter-llama
VidChapters Dataset for Chapter-Llama
This repository contains the dataset used in the paper "Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs" (CVPR 2025).
Overview
VidChapters-7M is a large-scale dataset for video chaptering, containing:
817k videos with ASR data (20GB)
Captions extracted from videos using various sampling strategies
Chapter annotations with timestamps and titles
Data Structure
The dataset is organized as follows:
ASR… See the full description on the dataset page: https://huggingface.co/datasets/lucas-ventura/chapter-llama.VenusBench-CAPTCHA
VenusBench-CAPTCHA: A Real-World CAPTCHA Screenshot–Action Benchmark for GUI Agents
Evaluation Code: https://github.com/inclusionAI/UI-Venus/tree/VenusBench-CAPTCHA
Introduction
CAPTCHA solving is a practical challenge for multimodal GUI agents because it requires more than isolated visual recognition. An agent must understand the challenge instruction, identify the relevant interface region, recognize or reason about the visual target, ground the result… See the full description on the dataset page: https://huggingface.co/datasets/inclusionAI/VenusBench-CAPTCHA.venezuela_eq_2026
2026 Venezuela earthquake: AI building and damage assessment
Download the data from HDX: Venezuela - M 7.5 Earthquake - Damage Assessment Area (Validated)
AI-derived building footprints and building-level damage for the 24 June 2026 Venezuela earthquake,
organized by area. Damage comes from up to three independent AI sources: HOTOSM fAIr (primary),
Microsoft AI for Good Lab, and an OSU/CUNY Sentinel-1 radar product.
Interactive map: view it in map.
Building Damage… See the full description on the dataset page: https://huggingface.co/datasets/hotosm/venezuela_eq_2026.