datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
huawei_benchmark这三个数据集图片路径均统一为images+列表形式绝对路径
/data1/huawei_benchmark/MMBrowseComp/MMBrowseComp_abs_decrypted.jsonl
/data1/huawei_benchmark/SimpleVQA/simpleVQA_final_modified_images_abs.json
/data1/huawei_benchmark/FVQA/fvqa_test.json
syn10k-huawei-barcodes
Bodnár-Huawei Syn10k
A mirror of the syn10k_plus_huawei barcode dataset from the Szeged group
(Bodnár, Grósz, Tóth), repackaged as parquet with each image joined to its
ground-truth mask in the same row.
Released under CC BY 4.0, so this mirror is permitted with attribution.
Configs
config
rows
content
with mask
warp2014
10,000
synthetic warped barcode images
10,000
huawei
98
real photographs
98
Every image has its mask — the pairing was verified… See the full description on the dataset page: https://huggingface.co/datasets/devmandan/syn10k-huawei-barcodes.gavs-dataDMin_mixed_datasets_8846Implementation for "DMin: Scalable Training Data Influence Estimation for Diffusion Models".
Influence Function, Influence Estimation and Training Data Attribution for Diffusion Models.
Github, Paper
VTBench
VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation
[Paper, Dataset, Space Demo, GitHub Repo]
This repository provides the official implementation of VTBench, a benchmark designed to evaluate the performance of visual tokenizers (VTs) in the context of autoregressive (AR) image generation. VTBench enables fine-grained analysis across three core tasks: image reconstruction, detail preservation, and text preservation, isolating the tokenizer's impact from the… See the full description on the dataset page: https://huggingface.co/datasets/huaweilin/VTBench.imagenet-1k-vl-enriched-anywaste-classification
Waste Classification (repackaged)
Summary:
A repackaged version of the Kaggle “Waste Classification” dataset with a consistent multi-choice training schema and multiple splits.
Splits:
cleaned: Only real-world photos that match the declared subclass (non-photos, PPT slides, icons, cartoons, or mismatches removed).
Schema (columns):
image: Image file (datasets.Image).
class: One of the four top-level categories.
subclass: Fine-grained category (from folder… See the full description on the dataset page: https://huggingface.co/datasets/huaweilin/waste-classification.cat_and_dog_text_to_text_imageimage_captions_text_to_text_image