tyqiangz/multilingual-sentiments
Multilingual Sentiments Dataset A collection of multilingual sentiments datasets grouped into 3 classes -- positive, neutral, negative. Most multilingual sentiment datasets are either 2-class positive or negative, 5-class ratings of products reviews (e.g. Amazon multilingual dataset) or multiple classes of emotions. However, to an average person, sometimes positive, negative and neutral classes suffice and are more straightforward to perceive and annotate. Also, a… See the full description on the dataset page: https://huggingface.co/datasets/tyqiangz/multilingual-sentiments.
| Author / organization | tyqiangz |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.1K (as reported by Hugging Face) |
| Likes | 56 |
| Created | 21 August 2022 |
| Last updated at source | 23 May 2023 |
Popularity, last 2 days
1,115 now (+99 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- alexander-sh/mDeBERTa-v3-multi-sentModel · used to train
- mradermacher/FBK_Qwen3-VL-4B-GGUFModel · used to train
- Ramg77/laya-sentiment-multilingualModel · used to train
- lxyuan/distilbert-base-multilingual-cased-sentiments-studentModel · used to train
Recent changes
- 17 Oct 2026 Description: Multilingual Sentiments Dataset A collection of multilingual sentiments datasets grouped into 3 classes -- positive, neutral, negative. Most multilingual sentiment datasets are either 2-class positive or negative, 5-class ratings of product → Multilingual Sentiments Dataset A collection of multilingual sentiments datasets grouped into 3 classes -- positive, neutral, negative. Most multilingual sentiment datasets are either 2-class positive or negative, 5-class ratings of product
Changes detected by Silytics between refreshes of the source.
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 Information may be incomplete or out of date.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.