datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
time-lapse-artifacts
Time-Lapse Artifacts
873 indexed video files document one artist's traditional drawing practice.
The recorded finish dates span September 17, 2024 through September 20, 2026;
nine Pre-Standard dates remain unknown. Standardized acquisition began July 13,
2025. The current indexes contain 2,196,054,134,482 indexed video bytes
(approximately 2.20 TB).
The recordings began as personal practice documentation and a durable record of
manual work. The archive was initially organized as… See the full description on the dataset page: https://huggingface.co/datasets/maxwellinked/time-lapse-artifacts.sushi_atelier_artifacts
sushi_atelier_artifacts
Images, videos and other artefacts needed to run the website
eval-artifactstime-lapse-artifacts-derived
Time-Lapse Artifacts: Derived Access Layer
This repository contains reproducible access derivatives for
maxwellinked/time-lapse-artifacts.
The archival masters remain in the source dataset and remain authoritative.
Related interfaces
Public browser (pinned snapshot)
Browser source and revision history
The browser is a static presentation layer and may lag the current Hugging Face
dataset. Hugging Face remains authoritative for media, record identities, and… See the full description on the dataset page: https://huggingface.co/datasets/maxwellinked/time-lapse-artifacts-derived.mva-repro-artifactsltx2-optims-artifactsContains the artifacts for https://github.com/sayakpaul/ltx2-simple-optims.
Videos generated during the benchmarks are in videos.
Logs are available in results.
Claude's trace and memory are available in claude_stuff.
Robotwin-demo-clean-50-artifacts
RoboTwin beat_block_hammer demo_clean-50 Artifacts
这个仓库存放的是一次 RoboTwin 单任务闭环实验的关键结果产物，而不是官方完整数据集。
仓库内容
same_distribution/
demo_clean -> demo_clean 的评测结果与 100 个 rollout 视频
cross_configuration/
demo_clean -> demo_randomized 的评测结果与 100 个 rollout 视频
experiment_summary.json
已完成的闭环
本实验完整跑通了以下链路：
RoboTwin 官方任务程序生成专家轨迹
原始轨迹落盘为 raw data
ACT 预处理生成 training-ready data
ACT 正式训练
策略重新部署回 RoboTwin 环境
在 clean / randomized 两种配置下正式评测
关键结果
同分布：demo_clean ->… See the full description on the dataset page: https://huggingface.co/datasets/Full-Stack-Entity/Robotwin-demo-clean-50-artifacts.microduck-video-artifactshypium-acceptance-artifactsRevived_Artifactsopenwam-artifactsqwenpi-zero2-profile-artifactsvista4d-mi300x-artifactsmodal-kaggle-opensource-stack-artifacts