# Add `orcid:` for each author and `doi:` once a DOI is minted.
cff-version: 1.2.0
message: "If you use this dataset, please cite it using the metadata from this file."
type: dataset
title: "CodeMixCheck: A Tanglish Fact-Checking and Auxiliary NLP Dataset"
version: "2.2.1"
license: CC-BY-NC-4.0
url: "https://huggingface.co/datasets/Prajjit/CodeMixCheck"
repository: "https://huggingface.co/datasets/Prajjit/CodeMixCheck"
date-released: 2026-11-01
abstract: >-
  English-Tamil code-mixed (Tanglish) social-media-style text for 4-way claim
  veracity classification (True, False, Partially True, Unverifiable), with a
  template-generated train/validation/test set and a separately curated test
  set, plus auxiliary sentiment and abuse-detection configurations.
authors:
  - family-names: "Basu"
    given-names: "Prajjit"
    affiliation: "Vellore Institute of Technology, Vellore"
    email: "prajjit.basu2023@vitstudent.ac.in"
  - family-names: "Roy"
    given-names: "Sanjiban Sekhar"
    email: "s.roy@vit.ac.in"
    affiliation: "Vellore Institute of Technology, Vellore"
keywords:
  - code-mixing
  - Tanglish
  - Tamil
  - fact verification
  - misinformation
  - sentiment analysis
  - abuse detection
  - synthetic data