yua
Datasets
All datasets matching “yua”OCR-Synthetic-Multilingual-v1
OCR-Synthetic-Multilingual-v1
Dataset Description
Large-scale synthetically generated OCR training dataset for multilingual text detection and recognition. The data was produced using a heavily modified and extended version of SynthDoG (Synthetic Document Generator), originally introduced in the Donut project by Kim et al.
This dataset was used to train Nemotron OCR v2, a state-of-the-art multilingual OCR model that is part of the NVIDIA NeMo Retriever collection.
This… See the full description on the dataset page: https://huggingface.co/datasets/YuanHo/OCR-Synthetic-Multilingual-v1.robotwin2.0-fastwam
RobotWin 2.0 (Preprocessed LeRobot v2.1 Release)
This repository releases our preprocessed RoboTwin / RobotWin 2.0 dataset in LeRobot v2.1 format for the open-source release of Fast-WAM: Do World Action Models Need Test-time Future Imagination?
This is not the official upstream RoboTwin release. It is our paper-specific processed version prepared to support training, evaluation, and reproducibility for our project.
This Hugging Face repository distributes the dataset as split… See the full description on the dataset page: https://huggingface.co/datasets/yuanty/robotwin2.0-fastwam.LIBERO-fastwam
LIBERO MuJoCo 3.3.2 for FastWAM
This repository releases the preprocessed LIBERO data used by FastWAM in both
LeRobot 2.1 and LeRobot 3.0 formats.
This is not an official upstream LIBERO data dump. It is a paper-specific
processed release for FastWAM training and reproducibility.
Repository layout
README.md
# LeRobot 2.1 archives (existing release)
libero_10_no_noops_lerobot.tar.gz
libero_goal_no_noops_lerobot.tar.gz
libero_object_no_noops_lerobot.tar.gz… See the full description on the dataset page: https://huggingface.co/datasets/yuanty/LIBERO-fastwam.JJokrobopoint-data
RoboPoint Dataset Card
Dataset details
This dataset contains 1432K image-QA instances used to fine-tune RoboPoint, a VLM for spatial affordance prediction. It consists of the following parts:
347K object reference instances from a synthetic data pipeline;
320K free space reference instances from a synthetic data pipeline;
100K object detection instaces from LVIS;
150K GPT-generated instruction-following instances from liuhaotian/LLaVA-Instruct-150K;
515K general-purpose… See the full description on the dataset page: https://huggingface.co/datasets/wentao-yuan/robopoint-data.ForeHOIPaper: https://arxiv.org/abs/2602.06226
Project: https://tao-11-chen.github.io/project_pages/ForeHOI/
Github: https://github.com/Tao-11-chen/ForeHOI/
Please refer to example_loader.py for data usage