datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
voxceleb-sentimentSentiment-Reasoning
Sentiment Reasoning for Healthcare
ACL 2025 Industry Track (Oral)
Khai-Nguyen Nguyen*, Khai Le-Duc*, Bach Phan Tat, Duy Le, Long Vo-Dang, Truong-Son Hy
*Equal contribution
Please press ⭐ button and/or cite papers if you feel helpful.
Sentiment Reasoning pipeline
Paper: Sentiment Reasoning for Healthcare
Code: https://github.com/leduckhai/Sentiment-Reasoning
Abstract:Transparency in AI healthcare decision-making is crucial. By incorporating rationales to explain reason… See the full description on the dataset page: https://huggingface.co/datasets/leduckhai/Sentiment-Reasoning.uzbekistan-media-sentiment-v2-21k
Uzbekistan Media Sentiment V2 — 21,000 Items
15,000 texts and 6,000 speech clips, with model-assisted silver sentiment labels. This is a separate batch from v1. Independent validation passed on 7 October 2026.
Download
Download the complete dataset and 6,000 clips — about 35.3 GB.
JSONL · Parquet · Recording manifest
Independent validation · Checksums · Archive checksum
The archive extracts into sentiment-v2/. Read dataset.jsonl or dataset.parquet there;… See the full description on the dataset page: https://huggingface.co/datasets/mahmudnosirov/uzbekistan-media-sentiment-v2-21k.Sentiment_Analysis_SLUE-VoxCelebuzbekistan-media-sentiment-20k
Uzbekistan Media Sentiment 20K
Model-assisted research draft. The dataset contains 20,000 selected items from Telegram and YouTube, with original text/captions and selected original recording files. Labels have not received independent human validation. All acceptance, reuse and review flags retain their recorded values.
Upload complete. All 4,501 package files were verified against the local export, including all 4,492 original recordings. Public downloads were tested without… See the full description on the dataset page: https://huggingface.co/datasets/mahmudnosirov/uzbekistan-media-sentiment-20k.Sentiment_Analysis_SLUE-VoxCelebmeld_sentiment_test@article{poria2018meld,
title={Meld: A multimodal multi-party dataset for emotion recognition in conversations},
author={Poria, Soujanya and Hazarika, Devamanyu and Majumder, Navonil and Naik, Gautam and Cambria, Erik and Mihalcea, Rada},
journal={arXiv preprint arXiv:1810.02508},
year={2018}
}
@article{wang2024audiobench,
title={AudioBench: A Universal Benchmark for Audio Large Language Models},
author={Wang, Bin and Zou, Xunlong and Lin, Geyu and Sun, Shuo and Liu, Zhuohan and… See the full description on the dataset page: https://huggingface.co/datasets/AudioLLMs/meld_sentiment_test.SentimentAnalysis_SLUE-VoxCeleb