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uitnlp/vlogqa

43 downloads in 30 days3 likesLast modified 15 Jan 2026View on Hugging Face
Possible licence conflict

The declared licence (cc-by-sa-4.0) and the licence detected in a repository file (cc-by-nc-4.0) fall into different categories, so the licences may conflict.

Declared licence
cc-by-sa-4.0, from the tagEvidence: README.md at cf25086
Licence files
LICENSE.md, detected as cc-by-nc-4.0Evidence: LICENSE.md at cf25086
Declared sources
None listed in the card metadata
Access gated on Hugging Face
Yes
Red marks the licence the signal is based on. Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

Citation text from the card

@inproceedings{ngo-etal-2024-vlogqa,
    title = "{V}log{QA}: Task, Dataset, and Baseline Models for {V}ietnamese Spoken-Based Machine Reading Comprehension",
    author = "Ngo, Thinh  and
      Dang, Khoa  and
      Luu, Son  and
      Nguyen, Kiet  and
      Nguyen, Ngan",
    editor = "Graham, Yvette  and
      Purver, Matthew",
    booktitle = "Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = mar,
    year = "2024",
    address = "St. Julian{'}s, Malta",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.eacl-long.79",
    pages = "1310--1324",
    abstract = "This paper presents the development process of a Vietnamese spoken language corpus for machine reading comprehension (MRC) tasks and provides insights into the challenges and opportunities associated with using real-world data for machine reading comprehension tasks. The existing MRC corpora in Vietnamese mainly focus on formal written documents such as Wikipedia articles, online newspapers, or textbooks. In contrast, the VlogQA consists of 10,076 question-answer pairs based on 1,230 transcript documents sourced from YouTube {--} an extensive source of user-uploaded content, covering the topics of food and travel. By capturing the spoken language of native Vietnamese speakers in natural settings, an obscure corner overlooked in Vietnamese research, the corpus provides a 

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dataset_licence({ "id": "uitnlp/vlogqa" })
signal: "conflict"
stated_licence: "cc-by-sa-4.0"
sources: 0