license:apache-2.0 size_categories:10K<n<100K format:parquet modality:image modality:text library:datasets library:dask library:mlcroissant library:polars arxiv:2412.08637 region:us
---
license: apache-2.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: image
    dtype: image
  - name: prompt
    dtype: string
  - name: source_dataset
    dtype: string
  splits:
  - name: train
    num_bytes: 8149390814.125
    num_examples: 8847
  - name: test
    num_bytes: 2037488417.5
    num_examples: 2212
  download_size: 10185709074
  dataset_size: 10186879231.625
---

Implementation for "DMin: Scalable Training Data Influence Estimation for Diffusion Models".

Influence Function, Influence Estimation and Training Data Attribution for Diffusion Models.

[Github](https://github.com/huawei-lin/DMin), [Paper](https://arxiv.org/abs/2412.08637)
