datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
rna-downstream-tasks
GB.RNA Benchmark Datasets
mRNA related tasks
Translation efficiency prediction from Chu et al.(2024) [1]
3 cell lines: Muscle, pc3, HEK
input sequence: 5'UTR
10-fold cross-validation split
mRNA expression level prediction from Chu et al.(2024) [1]
3 cell lines: Muscle, pc3, HEK
input sequence: 5'UTR
10-fold cross-validation split
Mean ribosome load prediction from Sample et al. (2019) [2]
input sequence: 5'UTR
ouput: mean ribosome load
the original data… See the full description on the dataset page: https://huggingface.co/datasets/genbio-ai/rna-downstream-tasks.jigsaw_toxicityblog_authorship_corpussocial-chemestry-101simlexacceptability-prediction@inproceedings{lau-etal-2015-unsupervised,
title = "Unsupervised Prediction of Acceptability Judgements",
author = "Lau, Jey Han and
Clark, Alexander and
Lappin, Shalom",
booktitle = "Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
month = jul,
year = "2015",
address = "Beijing, China",
publisher = "Association for… See the full description on the dataset page: https://huggingface.co/datasets/tasksource/acceptability-prediction.osworld_tasks_filesCOLING-2025-CHIPSAL
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]… See the full description on the dataset page: https://huggingface.co/datasets/1-800-SHARED-TASKS/COLING-2025-CHIPSAL.winowhyhttps://github.com/HKUST-KnowComp/WinoWhy
@inproceedings{zhang2020WinoWhy,
author = {Hongming Zhang and Xinran Zhao and Yangqiu Song},
title = {WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge},
booktitle = {Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL) 2020},
year = {2020}
}
nli-veridicality-transitivity@inproceedings{yanaka-etal-2021-exploring,
title = "Exploring Transitivity in Neural {NLI} Models through Veridicality",
author = "Yanaka, Hitomi and
Mineshima, Koji and
Inui, Kentaro",
booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
year = "2021",
pages = "920--934",
}
paradehttps://github.com/heyunh2015/PARADE_dataset
@inproceedings{he-etal-2020-parade,
title = "{PARADE}: {A} {N}ew {D}ataset for {P}araphrase {I}dentification {R}equiring {C}omputer {S}cience {D}omain {K}nowledge",
author = "He, Yun and
Wang, Zhuoer and
Zhang, Yin and
Huang, Ruihong and
Caverlee, James",
booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
month = nov,
year = "2020",
address… See the full description on the dataset page: https://huggingface.co/datasets/tasksource/parade.english-gradinghttps://www.kaggle.com/competitions/feedback-prize-english-language-learning
sts-companionhttps://ixa2.si.ehu.eus/stswiki/index.php/STSbenchmark
The companion datasets to the STS Benchmark comprise the rest of the English datasets used in the STS tasks organized by us in the context of SemEval between 2012 and 2017.
Authors collated two datasets, one with pairs of sentences related to machine translation evaluation. Another one with the rest of datasets, which can be used for domain adaptation studies.
@inproceedings{cer-etal-2017-semeval,
title = "{S}em{E}val-2017 Task 1:… See the full description on the dataset page: https://huggingface.co/datasets/tasksource/sts-companion.monotonicity-entailment@inproceedings{yanaka-etal-2019-neural,
title = "Can Neural Networks Understand Monotonicity Reasoning?",
author = "Yanaka, Hitomi and
Mineshima, Koji and
Bekki, Daisuke and
Inui, Kentaro and
Sekine, Satoshi and
Abzianidze, Lasha and
Bos, Johan",
booktitle = "Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP",
year = "2019",
pages = "31--40",
}
offensive-humor@article{tang2022naughtyformer,
title={The Naughtyformer: A Transformer Understands Offensive Humor},
author={Tang, Leonard and Cai, Alexander and Li, Steve and Wang, Jason},
journal={arXiv preprint arXiv:2211.14369},
year={2022}
}
osworld_tasks_fileswouldyouratherGPU-Resources-Estimation-for-Deep-Learning-Training-Tasks
GPUMemNet and GPUUtilNet Dataset
This dataset accompanies the paper
“GPU Memory and Utilization Estimation for Training-Aware Resource
Management: Opportunities and Limitations.”
It contains synthetic deep learning training configurations and their measured
GPU memory consumption and utilization characteristics.
Dataset configurations
The dataset is divided into separate configurations because MLP, CNN, and
Transformer workloads use different feature schemas.… See the full description on the dataset page: https://huggingface.co/datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks.mobileforge-generated-tasks
MobileForge Generated Tasks
This dataset contains the consolidated task pool generated by MobileGym-Curriculum from target-app exploration trajectories. These tasks are used by MobileForge for rollout collection and annotation-free adaptation.
Dataset summary
File
Rows
Apps
Size
Description
generated_tasks_26020301-all.csv
3,249
20
1.93 MB
Consolidated AndroidWorld-side MobileForge task pool.
The task pool is generated from real target-app… See the full description on the dataset page: https://huggingface.co/datasets/lgy0404/mobileforge-generated-tasks.semantic-feature-production-normscontext_toxicityhttps://github.com/ipavlopoulos/context_toxicity/
@inproceedings{xenos-etal-2021-context,
title = "Context Sensitivity Estimation in Toxicity Detection",
author = "Xenos, Alexandros and
Pavlopoulos, John and
Androutsopoulos, Ion",
booktitle = "Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021)",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url =… See the full description on the dataset page: https://huggingface.co/datasets/tasksource/context_toxicity.osworld_tasks_filesosworld_tasks_filesosworld_tasks_filesosworld_tasks_filesrankme-nlg-acceptability@inproceedings{novikova-etal-2018-rankme,
title = "RankME: Reliable Human Ratings for Natural Language Generation",
author = "Novikova, Jekaterina and
Duvsek, Ondvrej and
Rieser, Verena",
booktitle = "Proceedings of the NAACL2018",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N18-2012",
doi = "10.18653/v1/N18-2012",
pages = "72--78"… See the full description on the dataset page: https://huggingface.co/datasets/tasksource/rankme-nlg-acceptability.osworld_tasks_filesosworld_tasks_filesosworld_tasks_filesosworld_tasks_files