MCINext/farsick-sts
Dataset Summary FarSick STS is a Persian (Farsi) dataset designed for the Semantic Textual Similarity (STS) task. It is a part of the FaMTEB (Farsi Massive Text Embedding Benchmark). The dataset was developed by translating and adapting the English SICK (Sentences Involving Compositional Knowledge) dataset, and it features Persian sentence pairs annotated for their degree of semantic relatedness. Language(s): Persian (Farsi) Task(s): Semantic Textual Similarity (STS)… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/farsick-sts.
| Author / organization | MCINext |
|---|---|
| Downloads | 191 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 29 December 2024 |
| Last updated at source | 2 June 2025 |
Popularity, last 2 days
191 now (-1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Dataset Summary FarSick STS is a Persian (Farsi) dataset designed for the Semantic Textual Similarity (STS) task. It is a part of the FaMTEB (Farsi Massive Text Embedding Benchmark). The dataset was developed by translating and adapting the → Dataset Summary FarSick STS is a Persian (Farsi) dataset designed for the Semantic Textual Similarity (STS) task. It is a part of the FaMTEB (Farsi Massive Text Embedding Benchmark). The dataset was developed by translating and adapting the
Changes detected by Silytics between refreshes of the source.
More from MCINext
- MCINext/persian-web-document-retrievalDataset
- MCINext/PerCoRDataset
- MCINext/pershop-classificationDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.