--- language: - am - ar - de - en - es - ha - pt - ro - ru - uk - zh license: cc-by-4.0 configs: - config_name: amh data_files: - split: train path: amh/train-* - split: dev path: amh/dev-* - split: test path: amh/test-* - config_name: arq data_files: - split: train path: arq/train-* - split: dev path: arq/dev-* - split: test path: arq/test-* - config_name: chn data_files: - split: train path: chn/train-* - split: dev path: chn/dev-* - split: test path: chn/test-* - config_name: deu data_files: - split: train path: deu/train-* - split: dev path: deu/dev-* - split: test path: deu/test-* - config_name: eng data_files: - split: train path: eng/train-* - split: dev path: eng/dev-* - split: test path: eng/test-* - config_name: esp data_files: - split: train path: esp/train-* - split: dev path: esp/dev-* - split: test path: esp/test-* - config_name: hau data_files: - split: train path: hau/train-* - split: dev path: hau/dev-* - split: test path: hau/test-* - config_name: ptbr data_files: - split: train path: ptbr/train-* - split: dev path: ptbr/dev-* - split: test path: ptbr/test-* - config_name: ron data_files: - split: train path: ron/train-* - split: dev path: ron/dev-* - split: test path: ron/test-* - config_name: rus data_files: - split: train path: rus/train-* - split: dev path: rus/dev-* - split: test path: rus/test-* - config_name: ukr data_files: - split: train path: ukr/train-* - split: dev path: ukr/dev-* - split: test path: ukr/test-* dataset_info: - config_name: amh features: - name: id dtype: string - name: text dtype: string - name: anger dtype: int64 - name: disgust dtype: int64 - name: fear dtype: int64 - name: joy dtype: int64 - name: sadness dtype: int64 - name: surprise dtype: int64 - name: emotions sequence: string splits: - name: train num_bytes: 819324.6775600889 num_examples: 3549 - name: dev num_bytes: 140917.34134434848 num_examples: 592 - name: test num_bytes: 405069.87934799166 num_examples: 1774 download_size: 905885 dataset_size: 1365311.898252429 - config_name: arq features: - name: id dtype: string - name: text dtype: string - name: anger dtype: int64 - name: disgust dtype: int64 - name: fear dtype: int64 - name: joy dtype: int64 - name: sadness dtype: int64 - name: surprise dtype: int64 - name: emotions sequence: string splits: - name: train num_bytes: 208005.50422136943 num_examples: 901 - name: dev num_bytes: 23803.604956815623 num_examples: 100 - name: test num_bytes: 205959.99502361246 num_examples: 902 download_size: 172926 dataset_size: 437769.1042017975 - config_name: chn features: - name: id dtype: string - name: text dtype: string - name: anger dtype: int64 - name: disgust dtype: int64 - name: fear dtype: int64 - name: joy dtype: int64 - name: sadness dtype: int64 - name: surprise dtype: int64 - name: emotions sequence: string splits: - name: train num_bytes: 609934.009048677 num_examples: 2642 - name: dev num_bytes: 47607.209913631246 num_examples: 200 - name: test num_bytes: 603266.4155791398 num_examples: 2642 download_size: 784440 dataset_size: 1260807.6345414482 - config_name: deu features: - name: id dtype: string - name: text dtype: string - name: anger dtype: int64 - name: disgust dtype: int64 - name: fear dtype: int64 - name: joy dtype: int64 - name: sadness dtype: int64 - name: surprise dtype: int64 - name: emotions sequence: string splits: - name: train num_bytes: 600930.4411634014 num_examples: 2603 - name: dev num_bytes: 47607.209913631246 num_examples: 200 - name: test num_bytes: 594589.6086934444 num_examples: 2604 download_size: 889130 dataset_size: 1243127.259770477 - config_name: eng features: - name: id dtype: string - name: text dtype: string - name: anger dtype: int64 - name: disgust dtype: int64 - name: fear dtype: int64 - name: joy dtype: int64 - name: sadness dtype: int64 - name: surprise dtype: int64 - name: emotions sequence: string splits: - name: train num_bytes: 639022.4591395678 num_examples: 2768 - name: dev num_bytes: 27612.18174990612 num_examples: 116 - name: test num_bytes: 631808.5434926116 num_examples: 2767 download_size: 387740 dataset_size: 1298443.1843820857 - config_name: esp features: - name: id dtype: string - name: text dtype: string - name: anger dtype: int64 - name: disgust dtype: int64 - name: fear dtype: int64 - name: joy dtype: int64 - name: sadness dtype: int64 - name: surprise dtype: int64 - name: emotions sequence: string splits: - name: train num_bytes: 460797.9871541103 num_examples: 1996 - name: dev num_bytes: 43798.63312054074 num_examples: 184 - name: test num_bytes: 387031.2545066775 num_examples: 1695 download_size: 206796 dataset_size: 891627.8747813285 - config_name: hau features: - name: id dtype: string - name: text dtype: string - name: anger dtype: int64 - name: disgust dtype: int64 - name: fear dtype: int64 - name: joy dtype: int64 - name: sadness dtype: int64 - name: surprise dtype: int64 - name: emotions sequence: string splits: - name: train num_bytes: 495196.2336901636 num_examples: 2145 - name: dev num_bytes: 84740.8336462636 num_examples: 356 - name: test num_bytes: 246603.9851723963 num_examples: 1080 download_size: 257512 dataset_size: 826541.0525088235 - config_name: ptbr features: - name: id dtype: string - name: text dtype: string - name: anger dtype: int64 - name: disgust dtype: int64 - name: fear dtype: int64 - name: joy dtype: int64 - name: sadness dtype: int64 - name: surprise dtype: int64 - name: emotions sequence: string splits: - name: train num_bytes: 513895.9516057362 num_examples: 2226 - name: dev num_bytes: 47607.209913631246 num_examples: 200 - name: test num_bytes: 508278.21388310567 num_examples: 2226 download_size: 447264 dataset_size: 1069781.3754024731 - config_name: ron features: - name: id dtype: string - name: text dtype: string - name: anger dtype: int64 - name: disgust dtype: int64 - name: fear dtype: int64 - name: joy dtype: int64 - name: sadness dtype: int64 - name: surprise dtype: int64 - name: emotions sequence: string splits: - name: train num_bytes: 286036.42589375883 num_examples: 1239 - name: dev num_bytes: 29278.434096883215 num_examples: 123 - name: test num_bytes: 255509.12908139947 num_examples: 1119 download_size: 228746 dataset_size: 570823.9890720416 - config_name: rus features: - name: id dtype: string - name: text dtype: string - name: anger dtype: int64 - name: disgust dtype: int64 - name: fear dtype: int64 - name: joy dtype: int64 - name: sadness dtype: int64 - name: surprise dtype: int64 - name: emotions sequence: string splits: - name: train num_bytes: 512510.7873156938 num_examples: 2220 - name: dev num_bytes: 81646.36500187758 num_examples: 343 - name: test num_bytes: 148419.06515005333 num_examples: 650 download_size: 255470 dataset_size: 742576.2174676247 - config_name: ukr features: - name: id dtype: string - name: text dtype: string - name: anger dtype: int64 - name: disgust dtype: int64 - name: fear dtype: int64 - name: joy dtype: int64 - name: sadness dtype: int64 - name: surprise dtype: int64 - name: emotions sequence: string splits: - name: train num_bytes: 569302.5232074328 num_examples: 2466 - name: dev num_bytes: 59270.976342470894 num_examples: 249 - name: test num_bytes: 510104.91006956785 num_examples: 2234 download_size: 380985 dataset_size: 1138678.4096194715 --- # 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 ```python 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.