chibi
Datasets
All datasets matching “chibi”kaggle-womens-ecom-clothing-reviews
Women's Clothing E-Commerce Reviews (wide-row repack)
Repack of Kaggle dataset nicapotato/womens-ecommerce-clothing-reviews (CC0-1.0) into a single wide parquet with ZStandard level 9 compression.
Schema: one row per review — row_id (int64), clothing_id (int32), age (int32), rating (int8), recommended_ind (int8), positive_feedback_count (int32), title (string, nullable), review_text (string, nullable), division_name (string, nullable), department_name (string, nullable)… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/kaggle-womens-ecom-clothing-reviews.dancing-chibi-figures
Dancing Chibi Figures — v0.1
One template Q-version (chibi) character, animated by 1,430 motion clips, rendered with exact labels and motion-grounded captions — and paired frame-for-frame with Dancing Stick Figures.
1,423 clips · 6 s @ 20 fps · 128×128 RGBA · 514,800 frames · 143 text prompts × 10 seeds × 3 cameras ·
every frame carries the 3D skeleton, camera, depth, camera-space normals, part segmentation, motion events and five
levels of caption.
One row per motion group;… See the full description on the dataset page: https://huggingface.co/datasets/sprited/dancing-chibi-figures.zenodo-second-hand-fashion-v3
Second-Hand Fashion Dataset — wide (one row per garment)
Repack of Zenodo record 10.5281/zenodo.13788681 (Nauman et al., RISE + Wargön Innovation + Myrorna, CC-BY-4.0) into a one-row-per-garment wide layout so the HF dataset viewer shows every attribute — three images plus 25 metadata columns — on a single row.
Previous v3 releases stored one row per (garment, view) with satellite tables that had to be joined manually. That layout is preserved in git history if you need it; the… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/zenodo-second-hand-fashion-v3.anny-render-corpus-generated-train
anny-render-corpus-generated
Images generated by OmniGen2 from the constructed renders in
chibifire/anny-render-corpus.
Code: weftspun/anny-render-corpus, on the 6-datasource side of the hexagon.
Why this is a separate repository
These are generated synthetic, not constructed. They were sampled from a model rather than
rendered deterministically from a rig, so their labels are inferred and not true by
construction. Our working agreement requires generated data to… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/anny-render-corpus-generated-train.editscore-rl-train
Introduction
Training data for OmniGen2 Online-RL using EditScore.
Usage
# meta file: rl.jsonl
# images:
cat images_part_* > images.tar.gz && tar -xzvf images.tar.gz
Citation
@article{luo2025editscore,
title={EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling},
author={Xin Luo and Jiahao Wang and Chenyuan Wu and Shitao Xiao and Xiyan Jiang and Defu Lian and Jiajun Zhang and Dong Liu and… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/editscore-rl-train.editscore-reward-train
Introduction
Training data for EditScore.
Usage
# meta file: reward.json
# images:
cat images_part_* > images.tar.gz && tar -xzvf images.tar.gz
Citation
@article{luo2025editscore,
title={EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling},
author={Xin Luo and Jiahao Wang and Chenyuan Wu and Shitao Xiao and Xiyan Jiang and Defu Lian and Jiajun Zhang and Dong Liu and Zheng Liu}… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/editscore-reward-train.