Duplicate from tranthaihoa/vifactcheck

Co-authored-by: Trần Thái Hoà <tranthaihoa@users.noreply.huggingface.co>

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README.md

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+---
+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.

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