mteb/JSTS
JSTS An MTEB dataset Massive Text Embedding Benchmark Japanese Semantic Textual Similarity Benchmark dataset construct from YJ Image Captions Dataset (Miyazaki and Shimizu, 2016) and annotated by crowdsource annotators. Task category t2t Domains Web, Written Reference https://aclanthology.org/2022.lrec-1.317.pdf#page=2.00 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/JSTS.
| Author / organization | mteb |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 557 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 21 December 2024 |
| Last updated at source | 4 May 2025 |
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Connected in the knowledge graph
- kushalc1/sarashina-embedding-v2-1b-jsts-matryoshkaModel · used to train
Recent changes
- 17 Oct 2026 Description: JSTS An MTEB dataset Massive Text Embedding Benchmark Japanese Semantic Textual Similarity Benchmark dataset construct from YJ Image Captions Dataset (Miyazaki and Shimizu, 2016) and annotated by crowdsource annotators. Task category t2t Do → JSTS An MTEB dataset Massive Text Embedding Benchmark Japanese Semantic Textual Similarity Benchmark dataset construct from YJ Image Captions Dataset (Miyazaki and Shimizu, 2016) and annotated by crowdsource annotators. Task category t2t Do
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