Data · dataset · 2025
CH-SIMSandCMU-MOSI dataset
Listed in ScienceDB
CH-SIMS Dataset: This dataset consists of 2,281 video clips from different data sources, with a total of 474 speakers.
Description
The modal categories include three modalities: vision, speech, and text. The SIMS dataset is a unique Chinese multi-modal sentiment classification dataset with fine-grained annotations.
The videos contain spontaneous expressions, various head postures, and video occlusions. Annotators assign an emotion score to each labeled sample ranging from -1 (strongly negative) to 1 (strongly positive).CMU-MOSI Dataset: This dataset is constructed based on YouTube videos. Annotators label the emotion of each sample with a score ranging from -3 (strongly negative) to 3 (strongly positive).分享这两个数据集的具体应用场景有哪些?这两个数据集的优缺点分别是什么?多模态情感分类数据集的发展趋势是怎样的?
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00133.00489 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00133.00489 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:audio | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:text | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:video | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |