README.md

metadata

dataset_info:
  features:
    - name: pairID
      dtype: string
    - name: evidence
      dtype: string
    - name: gold_label
      dtype: string
    - name: link
      dtype: string
    - name: context
      dtype: string
    - name: sentenceID
      dtype: string
    - name: claim
      dtype: string
    - name: annotator_labels
      dtype: string
    - name: title
      dtype: string
  splits:
    - name: train
      num_bytes: 23729671
      num_examples: 16738
    - name: dev
      num_bytes: 2970143
      num_examples: 2090
    - name: test
      num_bytes: 2995583
      num_examples: 2091
  download_size: 10104629
  dataset_size: 29695397
license: mit
task_categories:
  - text-retrieval
  - text-classification
language:
  - vi
size_categories:
  - 10K<n<100K

ViWikiFC: Fact-Checking for Vietnamese Wikipedia-Based Textual Knowledge Source

Fact-Checking: is task which aim to verify the truthfulness of a statement (Claim) based on the information from trustworthy sources (Evidence).

ViWikiFC is the first large-scale, open-domain corpus for Vietnamese Fact-Checking on Wikipedia. The corpus consists of 20,916 claims manually annotated and based on evidence retrieved from Wikipedia pages.

Our corpus have three label classes which take advanges from FEVER [1] :

1. SUPPORTS: The Information in the claim is True based on the information in the evidence

2. REFUTES: The information in the claim is False based on the information in the evidence

3. NOT_ENOUGH_INFORMATION (NEI): The information in a claim can not be determined as True or False based on the information in the evidence

Here is an example of our corpus:

• CLAIM: Thời kỳ Bắc thuộc diễn ra sau khi phương Bắc thôn tính được Âu Lạc. (The Northern Domination period took place after the northern regions conquered Au Lac.)

• EVIDENCE: Âu Lạc bị nhà Triệu ở phương Bắc thôn tính vào đầu thế kỷ thứ 2 TCN sau đó là thời kỳ Bắc thuộc kéo dài hơn một thiên niên kỷ. (Au Lac was conquered by the Zhaos in the northern region at the beginning of the 2nd century BC, leading to the Northern Domination period that lasted for over a millennium.)

• Label: SUPPORTS

Reference:

[1] @inproceedings{thorne-etal-2018-fever,
    title = "{FEVER}: a Large-scale Dataset for Fact Extraction and {VER}ification",
    author = "Thorne, James  and
      Vlachos, Andreas  and
      Christodoulopoulos, Christos  and
      Mittal, Arpit",
    editor = "Walker, Marilyn  and
      Ji, Heng  and
      Stent, Amanda",
    booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/N18-1074",
    doi = "10.18653/v1/N18-1074",
    pages = "809--819",
    abstract = "In this paper we introduce a new publicly available dataset for verification against textual sources, FEVER: Fact Extraction and VERification. It consists of 185,445 claims generated by altering sentences extracted from Wikipedia and subsequently verified without knowledge of the sentence they were derived from. The claims are classified as Supported, Refuted or NotEnoughInfo by annotators achieving 0.6841 in Fleiss kappa. For the first two classes, the annotators also recorded the sentence(s) forming the necessary evidence for their judgment. To characterize the challenge of the dataset presented, we develop a pipeline approach and compare it to suitably designed oracles. The best accuracy we achieve on labeling a claim accompanied by the correct evidence is 31.87{\%}, while if we ignore the evidence we achieve 50.91{\%}. Thus we believe that FEVER is a challenging testbed that will help stimulate progress on claim verification against textual sources.",
}

[2] @misc{le2024viwikifc,
      title={ViWikiFC: Fact-Checking for Vietnamese Wikipedia-Based Textual Knowledge Source}, 
      author={Hung Tuan Le and Long Truong To and Manh Trong Nguyen and Kiet Van Nguyen},
      year={2024},
      eprint={2405.07615},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}