| --- |
| language: |
| - zh |
| - en |
| datasets: |
| - MMFact/MMFact |
| tags: |
| - mmfact |
| - multimodal |
| - fake-news-detection |
| --- |
| <h1 align="center" style="text-align: center; font-size: 40px;">MMFact-CKPT</h1> |
|
|
| <p align="center"> |
| <img src="images/logo.png" alt="MMFact logo" width="280"> |
| </p> |
|
|
| <p align="center" style="text-align: center;"> |
| <strong>Model Checkpoints for Multimodal Fake News Detection</strong> |
| </p> |
|
|
| <p align="center"> |
| <a href="https://arxiv.org/abs/2610.34162"><img src="https://img.shields.io/badge/arXiv-2610.34162-B31B1B?style=flat&logo=arxiv&logoColor=white" alt="arXiv: 2610.34162" height="20"></a> |
| <a href="https://github.com/yuchenmiao04/MMFact"><img src="https://img.shields.io/badge/GitHub-MMFact-181717?style=flat&logo=github&logoColor=white" alt="GitHub: MMFact" height="20"></a> |
| <a href="https://huggingface.co/datasets/MMFact/MMFact"><img src="https://img.shields.io/badge/Hugging%20Face-Dataset-D4A017?style=flat&logo=huggingface&logoColor=FFD21E" alt="Hugging Face: Dataset" height="20"></a> |
| </p> |
|
|
| **English** | [็ฎไฝไธญๆ](https://huggingface.co/MMFact/MMFact-CKPT/blob/main/README_zh.md) |
|
|
| MMFact-CKPT is the model checkpoint repository for [MMFact](https://github.com/yuchenmiao04/MMFact), supporting reproducible experiments on Weibo-17, Weibo-21<sup>โ </sup>, and GossipCop. |
|
|
| This repository contains checkpoints for **47 methods**, including **24 methods with separate ResNet and ViT variants**, covering three datasets and three random seeds for a total of **639 checkpoints**. Checkpoints are organized by dataset, method, variant, and seed to support evaluation and comparison using the MMFact toolbox. |
|
|
| ## Checkpoint Coverage |
|
|
| | Method group | Methods | Variants | Checkpoints per method | Total | |
| |---|---:|---|---:|---:| |
| | Methods with a single variant | 23 | `default` | 9 | 207 | |
| | Methods with two visual variants | 24 | `resnet`, `vit` | 18 | 432 | |
| | **Total** | **47** | โ | โ | **639** | |
|
|
| Each variant has one checkpoint for each combination of the following datasets and random seeds: |
|
|
| | Setting | Values | |
| |---|---| |
| | Datasets | `weibo17`, `weibo21`, `gossipcop` | |
| | Random seeds | `0`, `42`, `2026` | |
| | Checkpoint filename | `checkpoint.pt` | |
|
|
| The `default` variant identifies methods without separate ResNet and ViT versions in this collection. |
|
|
| <sup>โ </sup> Weibo-21 refers to the reconstructed version provided by MMFact, based on the [original paper](https://doi.org/10.1145/3459637.3482139), with a fixed 8:1:1 train/validation/test split. See the [dataset repository](https://huggingface.co/datasets/MMFact/MMFact) for details. |
|
|
| ## Organization and Usage |
|
|
| All checkpoints follow a consistent directory structure: |
|
|
| ```text |
| <dataset>/<method_slug>/<variant>/seed-<seed>/checkpoint.pt |
| ``` |
|
|
| For example, the EANN directory layout is as follows: |
|
|
| ```text |
| weibo17/ |
| โโโ eann/ |
| โโโ resnet/ |
| โ โโโ seed-0/ |
| โ โ โโโ checkpoint.pt |
| โ โโโ seed-42/ |
| โ โ โโโ checkpoint.pt |
| โ โโโ seed-2026/ |
| โ โโโ checkpoint.pt |
| โโโ vit/ |
| โโโ seed-0/ |
| โ โโโ checkpoint.pt |
| โโโ seed-42/ |
| โ โโโ checkpoint.pt |
| โโโ seed-2026/ |
| โโโ checkpoint.pt |
| ``` |
|
|
| Download an individual checkpoint using `huggingface_hub`: |
|
|
| ```python |
| from huggingface_hub import hf_hub_download |
| |
| checkpoint_path = hf_hub_download( |
| repo_id="MMFact/MMFact-CKPT", |
| repo_type="model", |
| filename="weibo17/eann/resnet/seed-0/checkpoint.pt", |
| ) |
| |
| print(checkpoint_path) |
| ``` |
|
|
| Change the filename to select a checkpoint for another dataset, method, variant, or random seed. |
|
|
| Use the corresponding model implementation and configuration in the [MMFact toolbox](https://github.com/yuchenmiao04/MMFact) to load and evaluate the checkpoint. Dataset definitions, preprocessing resources, and precomputed features are documented in the [MMFact dataset repository](https://huggingface.co/datasets/MMFact/MMFact). |
|
|
| ## Citation |
|
|
| If you use these checkpoints or other MMFact resources in your research, please cite our paper: |
|
|
| ```bibtex |
| @misc{miao2026mmfactsimplifyingmultimodalmisinformation, |
| title={MMFact: Simplifying Multimodal Misinformation Detection with Shared Resources and Tools}, |
| author={Yuchen Miao and Zijun Wang and Mingtai Zhang and Xiaoyi Chen and Sihan Deng and Xianglin Ding}, |
| year={2026}, |
| eprint={2610.34162}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.MM}, |
| url={https://arxiv.org/abs/2610.34162}, |
| } |
| ``` |
|
|
