| --- |
| language: |
| - vi |
| license: mit |
| task_categories: |
| - text-classification |
| - question-answering |
| task_ids: |
| - natural-language-inference |
| - fact-checking |
| - fact-checking-retrieval |
| multilinguality: |
| - monolingual |
| size_categories: |
| - 1K<n<10K |
| source_datasets: |
| - original |
| pretty_name: ViFactCheck |
| arxiv: 2412.15308 |
| tags: |
| - fact-checking |
| - vietnamese |
| - NLP |
| - misinformation |
| - fake-news |
| - claim-verification |
| - natural-language-inference |
| - low-resource |
| - news |
| - benchmark |
| - AAAI |
| - AAAI-25 |
| - multi-domain |
| - evidence-retrieval |
| --- |
| |
| # 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 |
|
|
| ```python |
| 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 |
| ``` |
|
|
| ```python |
| 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: |
|
|
| ```bibtex |
| @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. |
