Data · dataset · 2025
MCSD 1.0 - Multimodal Chinese Sarcasm Dataset
Listed in IISH Dataverse
This repository includes full text file of Multimodal Chinese Sarcasm Dataset (MCSD), a curated dataset for research on multimodal sarcasm detection in Mandarin Chinese publicly broadcasted stand-up comedy.
Description
The corpus is structured as follows: unique utterance ID for each transcribed segment. manually verified transcription of the spoken utterance (in Mandarin). pseudonymized speaker ID. annotated label (sarcastic / not sarcastic) for each transcription. aligned start and end timestamps. reference to the original publicly available video.
For full dataset description and annotation guidelines, please see: Link Contributors and roles Xiyuan Gao (University of Groningen) – PhD researcher. Responsible for dataset design, transcription processing, annotation guideline. Dr.
Read the rest (3 more)
Bruce Xiao Wang (Hong Kong Polytechnic University) – Collaborator and linguistic expert. Contributed to the research framework, research methodology design, and Mandarin discourse insights. Meiling Zhang, Shuming Zhang, and Zhu Li – Carried out manual labeling of sarcasm in the transcribed data based on developed annotation protocols.
Dr. Matt Coler & Dr. Shekhar Nayak (University of Groningen) – Supervisors.
Provided research supervision and guidance on ethical compliance.
Links
Where it is published
- Dataverse dataset page dataverse.nl/dataset.xhtml?persistentId=doi%3A10.34894%2FA0NLTQ ↗
landing page · from datasets iisg amsterdam
- DOI doi.org/10.34894/a0nltq ↗
DOI / persistent id · from datasets iisg amsterdam
Catalogue records · 1
- Dataverse API dataverse.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2FA0NL… ↗
metadata API · from datasets iisg amsterdam
Topics
- Stated by source
- Arts and Humanities · Computer and Information Science
- From keywords
- Computer Science & AI · Humanities
- Inferred from text
- Artificial intelligence 72% · Text 75% · Video 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IISH Dataverse | doi:10.34894/A0NLTQ | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4602 | enrichment · datasets iisg amsterdam | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].dataverse_subject:arts-and-humanities | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].dataverse_subject:computer-and-information-science | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[modality].local:modality:text | enrichment · datasets iisg amsterdam | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:video | enrichment · datasets iisg amsterdam | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| description | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /description |
| publication_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| title | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /name |
| updated_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| version_label | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 |