datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wb_pointed_chair_pull_push_rgb
wb_pointed_chair_pull_push_rgb
Whole-body teleoperation data from a Unitree_G1_WholeBody_RGB, published in LeRobot v2.1 format.
Published in the v2.1 layout (one parquet and one video clip per episode) so it loads directly on older lerobot releases. On lerobot v3.0+ run the official upgrade first:
python -m lerobot.datasets.v30.convert_dataset_v21_to_v30 --repo-id=DaoyuanZhu/wb_pointed_chair_pull_push_rgb
Task — pull out the chair indicated by the human gesture, then push it… See the full description on the dataset page: https://huggingface.co/datasets/DaoyuanZhu/wb_pointed_chair_pull_push_rgb.DaoZang
DaoZang — 道藏经文语料数据集
《中华道藏》《正统道藏》整理本语料的可加载数据集,与向量库 (ChromaDB) 逐块对应,
供检索评测、微调与 RAG 使用。
数据分片
分片
行数
粒度
字段
train (data/train-00000-of-00006.parquet ~ ...00005-of-00006.parquet, 6 个分片)
285,117
文本块 (chunk)
source / title / chunk_index / chars / text / embedding
标准分片命名 (train-XXXXX-of-00006.parquet),load_dataset 自动合并,无需改动;
每片约 217MB(含 20,000 行一个 row group 与 page index),方便 HF Dataset Viewer
在线浏览(单次扫描上限 ~300MB);
source = 源 Markdown 文件名 (与 ChromaDB 元数据一致);… See the full description on the dataset page: https://huggingface.co/datasets/Godners/DaoZang.g1_desktop_organize_table_correction
g1_desktop_organize_table_correction
Bimanual tabletop teleoperation on a Unitree G1 with Inspire dexterous hands,
in LeRobot v2.1 format.
Task — Follow the human's corrective gesture and hand the indicated object to the human.
Episodes
192
Frames
67405 (37.4 min @ 30 fps)
Episode length
268–519 frames (median 346)
State / action
26-D / 26-D
Cameras
2 × 640×480
State and action
Both vectors are 26-D and share the same layout:
0– 6… See the full description on the dataset page: https://huggingface.co/datasets/DaoyuanZhu/g1_desktop_organize_table_correction.wb_add_push_cart
wb_add_push_cart
Whole-body teleoperation data from a Unitree_G1_WholeBody_RGB, published in LeRobot v2.1 format.
Published in the v2.1 layout (one parquet and one video clip per episode) so it loads directly on older lerobot releases. On lerobot v3.0+ run the official upgrade first:
python -m lerobot.datasets.v30.convert_dataset_v21_to_v30 --repo-id=DaoyuanZhu/wb_add_push_cart
Task — push the cart, stop when the human raises a hand, and continue when the human waves again… See the full description on the dataset page: https://huggingface.co/datasets/DaoyuanZhu/wb_add_push_cart.wb_push_cart_stop_go
wb_push_cart_stop_go
Whole-body teleoperation data from a Unitree_G1_WholeBody_RGB, published in LeRobot v2.1 format.
Published in the v2.1 layout (one parquet and one video clip per episode) so it loads directly on older lerobot releases. On lerobot v3.0+ run the official upgrade first:
python -m lerobot.datasets.v30.convert_dataset_v21_to_v30 --repo-id=DaoyuanZhu/wb_push_cart_stop_go
Task — push the cart, stop when the human raises a hand, and continue when the human waves… See the full description on the dataset page: https://huggingface.co/datasets/DaoyuanZhu/wb_push_cart_stop_go.lang-adversarial-inference-01
Inference-Layer Security: Defending Against Adversarial Inference and Infrastructure Abuse
An exploration on how to secure Model-as-a-Service infrastructure at the inference layer against runtime exploits, ranging from automated bot farms to adversarial extraction and agentic misuse
More details about the project: https://www.daoist.dev/posts/adversarial-inference-security-1
x23-DAO-governance-forums
X23 Governance Forum Dataset
The X23 Governance Forum Dataset is a normalized corpus of public DAO governance forum discussions collected from publicly accessible governance forums, covering discussions from September 2015 through September 2025. It includes topics, posts, public author profiles, timestamps, engagement/reputation fields, tags, summaries, extracted links, and source forum/domain metadata.
The dataset covers 44 public forum domains across 42 protocol/community labels… See the full description on the dataset page: https://huggingface.co/datasets/daveytea/x23-DAO-governance-forums.bien-cung-hoang-dao-1950-2050
Biên ngày 12 cung hoàng đạo theo từng năm, 1950 tới 2050
Zodiac sign boundaries year by year, 1950 to 2050
1. Mô tả · Description
Ngày và giờ mặt trời vào từng cung hoàng đạo, tính riêng cho mỗi năm thay vì dùng một biên cố định.
The date and time the sun enters each zodiac sign, computed per year instead of using a fixed boundary.
Số dòng · Rows: 1,212
Phiên bản · Version: 1.0.0 (2026-09-21)
Mã hoá · Encoding: UTF-8 không BOM
2. Cấu trúc · Structure… See the full description on the dataset page: https://huggingface.co/datasets/nhatnguyet/bien-cung-hoang-dao-1950-2050.Daoism-QA-Eval-v1
Daoism-QA-Eval-v1
Benchmark Evaluation Set for Daoism-Qwen3.5-9B and other LLMs on Daoist knowledge tasks.
由鼎稔道學館（lius.cc）發布。本 eval set 是 Daoism-QA-5K v0.1 中經 stratified sampling 抽出的 120 題 hold-out 集，永久切出不再用於任何 SFT 訓練。
完整評測方法論見本 repo 的 methodology.md 與 evaluator_prompt_v1.md。
規格
項目
值
樣本數
120
抽樣方式
Stratified（5 task_type × 24 題）
分層
每類依 groundedness_score 取 top/mid/bottom 1/3 各 8 題
來源
Daoism-QA-5K v0.1（249 條 pilot）
切出狀態
Hold-out，永久不再用於 SFT 訓練
語言
繁體中文… See the full description on the dataset page: https://huggingface.co/datasets/lius-cc/Daoism-QA-Eval-v1.base_generate_content_qalerobot_fukang_dataset_achange1test1555orginchange2pi05-demo