ViFactCheck: A Multi-Domain Vietnamese News Fact-Checking Benchmark

Dataset Summary

ViFactCheck is the first publicly available benchmark dataset for multi-domain news fact-checking in Vietnamese. It contains 7,232 human-annotated claim–evidence pairs sourced from nine reputable Vietnamese online news outlets, spanning 12 diverse topics. Each entry pairs a claim with its full article context and annotated evidence, labeled as Supported, Refuted, or Not Enough Information (NEI).

---

Dataset Structure

Data Fields

Field	Type	Description
Statement	string	The claim to be verified (in Vietnamese)
Context	string	Full article context from which the claim was derived
Evidence	string	Annotated gold evidence snippet(s) supporting the label
Topic	string	News domain/topic (12 categories, see below)
Author	string	Source newspaper (one of 9 licensed outlets)
Url	string	URL of the original news article
labels	int64	Fact-checking label: 0 = Supported, 1 = Refuted, 2 = NEI
annotation_id	int64	Unique annotation identifier
index	int64	Original dataset index

Label Distribution

Label	ID	Meaning
Supported	0	The context/evidence supports the claim
Refuted	1	The context/evidence contradicts the claim
NEI	2	Not Enough Information to verify the claim

Topics Covered (12 Domains)

The dataset spans 12 diverse Vietnamese news domains including: Politics, Law & Justice, Business & Economics, Education, Urban Affairs, Sports, Youth & Society, Culture, Environment, Health, Technology, and Entertainment.

---

Usage

from datasets import load_dataset

dataset = load_dataset("tranthaihoa/vifactcheck")

# Access splits
train = dataset["train"]
dev   = dataset["dev"]
test  = dataset["test"]

# Example entry
print(train[0]["Statement"])   # The claim (Vietnamese)
print(train[0]["Evidence"])    # Gold evidence
print(train[0]["labels"])      # 0=Supported, 1=Refuted, 2=NEI

import pandas as pd

df = pd.read_parquet("hf://datasets/tranthaihoa/vifactcheck/default/train-00000-of-00001.parquet")

---

Citation

If you use ViFactCheck in your research, please cite:

@inproceedings{tran2025vifactcheck,
  title     = {ViFactCheck: A New Benchmark Dataset and Methods for Multi-Domain News Fact-Checking in Vietnamese},
  author    = {Tran, Thai Hoa and Tran, Quang Duy and Tran, Khanh Quoc and Nguyen, Kiet Van},
  booktitle = {Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25)},
  pages     = {308--316},
  year      = {2025},
  publisher = {AAAI Press}
}

---

📧 Contact: {khanhtq,kietnv}@uit.edu.vn

This research was supported by the Scientific Research Support Fund of VNUHCM-University of Information Technology.