vgaraujov/semeval-2025-task11-track-b

SemEval 2025 Task 11 - Track B Dataset

This dataset contains the data for SemEval 2025 Task 11: Bridging the Gap in Text-Based Emotion Detection - Track B, organized as language-specific configurations.

Dataset Description

The dataset is a multi-language, multi-label emotion classification dataset with separate configurations for each language.

• Total languages: 11 standard ISO codes
• Total examples: 47111
• Splits: train, dev, test

Track Information

Track B has fewer languages than Track A, and it may have missing languages in certain splits. Specifically, 'ron' (Romanian) is missing from the train split but is present in dev and test splits.

Language Configurations

Each language is available as a separate configuration with the following statistics:

ISO Code	Original Code(s)	Train Examples	Dev Examples	Test Examples	Total
am	amh	3549	592	1774	5915
ar	arq	901	100	902	1903
de	deu	2603	200	2604	5407
en	eng	2768	116	2767	5651
es	esp	1996	184	1695	3875
ha	hau	2145	356	1080	3581
pt	ptbr	2226	200	2226	4652
ro	ron	1239	123	1119	2481
ru	rus	2220	343	650	3213
uk	ukr	2466	249	2234	4949
zh	chn	2642	200	2642	5484

Features

• id: Unique identifier for each example
• text: Text content to classify
• anger, disgust, fear, joy, sadness, surprise: Presence of emotion
• emotions: List of emotions present in the text

Usage

from datasets import load_dataset

# Load all data for a specific language
eng_dataset = load_dataset("YOUR_USERNAME/semeval-2025-task11-track-b", "eng")

# Or load a specific split for a language
eng_train = load_dataset("YOUR_USERNAME/semeval-2025-task11-track-b", "eng", split="train")

Citation

If you use this dataset, please cite the following papers:

@misc{{muhammad2025brighterbridginggaphumanannotated,
      title={{BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages}}, 
      author={{Shamsuddeen Hassan Muhammad and Nedjma Ousidhoum and Idris Abdulmumin and Jan Philip Wahle and Terry Ruas and Meriem Beloucif and Christine de Kock and Nirmal Surange and Daniela Teodorescu and Ibrahim Said Ahmad and David Ifeoluwa Adelani and Alham Fikri Aji and Felermino D. M. A. Ali and Ilseyar Alimova and Vladimir Araujo and Nikolay Babakov and Naomi Baes and Ana-Maria Bucur and Andiswa Bukula and Guanqun Cao and Rodrigo Tufiño and Rendi Chevi and Chiamaka Ijeoma Chukwuneke and Alexandra Ciobotaru and Daryna Dementieva and Murja Sani Gadanya and Robert Geislinger and Bela Gipp and Oumaima Hourrane and Oana Ignat and Falalu Ibrahim Lawan and Rooweither Mabuya and Rahmad Mahendra and Vukosi Marivate and Andrew Piper and Alexander Panchenko and Charles Henrique Porto Ferreira and Vitaly Protasov and Samuel Rutunda and Manish Shrivastava and Aura Cristina Udrea and Lilian Diana Awuor Wanzare and Sophie Wu and Florian Valentin Wunderlich and Hanif Muhammad Zhafran and Tianhui Zhang and Yi Zhou and Saif M. Mohammad}},
      year={{2025}},
      eprint={{2502.11926}},
      archivePrefix={{arXiv}},
      primaryClass={{cs.CL}},
      url={{https://arxiv.org/abs/2502.11926}}, 
}}

@misc{{muhammad2025semeval2025task11bridging,
      title={{SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection}}, 
      author={{Shamsuddeen Hassan Muhammad and Nedjma Ousidhoum and Idris Abdulmumin and Seid Muhie Yimam and Jan Philip Wahle and Terry Ruas and Meriem Beloucif and Christine De Kock and Tadesse Destaw Belay and Ibrahim Said Ahmad and Nirmal Surange and Daniela Teodorescu and David Ifeoluwa Adelani and Alham Fikri Aji and Felermino Ali and Vladimir Araujo and Abinew Ali Ayele and Oana Ignat and Alexander Panchenko and Yi Zhou and Saif M. Mohammad}},
      year={{2025}},
      eprint={{2503.07269}},
      archivePrefix={{arXiv}},
      primaryClass={{cs.CL}},
      url={{https://arxiv.org/abs/2503.07269}}, 
}}

License

This dataset is licensed under CC-BY 4.0.