Datasets:
| # 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 | |