Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021)

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round2   round1

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• Generating Datasets of 3D Garments with Sewing Patterns Maria Korosteleva, Sung-Hee Lee
• KeSpeech: An Open Source Speech Dataset of Mandarin and Its Eight Subdialects Zhiyuan Tang, Dong Wang, Yanguang Xu, Jianwei Sun, Xiaoning Lei, Shuaijiang Zhao, cheng wen, Xingjun Tan, Chuandong Xie, Shuran Zhou, Rui Yan, Chenjia Lv, Yang Han, Wei Zou, Xiangang Li
• SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation Arjun Desai, Andrew Schmidt, Elka Rubin, Christopher Sandino, Marianne Black, Valentina Mazzoli, Kathryn Stevens, Robert Boutin, Christopher Ré, Garry Gold, Brian Hargreaves, Akshay Chaudhari
• Evaluating Bayes Error Estimators on Real-World Datasets with FeeBee Cedric Renggli, Luka Rimanic, Nora Hollenstein, Ce Zhang
• DUE: End-to-End Document Understanding Benchmark Łukasz Borchmann, Michał Pietruszka, Tomasz Stanislawek, Dawid Jurkiewicz, Michał Turski, Karolina Szyndler, Filip Graliński
• PASS: An ImageNet replacement for self-supervised pretraining without humans Yuki Asano, Christian Rupprecht, Andrew Zisserman, Andrea Vedaldi
• Mitigating dataset harms requires stewardship: Lessons from 1000 papers Kenneth Peng, Arunesh Mathur, Arvind Narayanan
• Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa Raesetje Sefala, Timnit Gebru, Nyalleng Moorosi, Luzango Mfupe, Richard Klein
• AI and the Everything in the Whole Wide World Benchmark Deborah Raji, Emily Denton, Emily M. Bender, Alex Hanna, Amandalynne Paullada
• URLB: Unsupervised Reinforcement Learning Benchmark Misha Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel
• Benchmark for Compositional Text-to-Image Synthesis Dong Huk Park, Samaneh Azadi, Xihui Liu, Trevor Darrell, Anna Rohrbach
• An Empirical Study of Graph Contrastive Learning Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu
• Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine Reading Comprehension Shusheng Xu, Yichen Liu, Xiaoyu Yi, Siyuan Zhou, Huizi Li, Yi Wu
• SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables Nafise Moosavi, Andreas Rücklé, Dan Roth, Iryna Gurevych
• A sandbox for prediction and integration of DNA, RNA, and proteins in single cells Malte Luecken, Daniel Burkhardt, Robrecht Cannoodt, Christopher Lance, Aditi Agrawal, Hananeh Aliee, Ann Chen, Louise Deconinck, Angela Detweiler, Alejandro Granados, Shelly Huynh, Laura Isacco, Yang Kim, Dominik Klein, BONY DE KUMAR, Sunil Kuppasani, Heiko Lickert, Aaron McGeever, Joaquin Melgarejo, Honey Mekonen, Maurizio Morri, Michaela Müller, Norma Neff, Sheryl Paul, Bastian Rieck, Kaylie Schneider, Scott Steelman, Michael Sterr, Daniel Treacy, Alexander Tong, Alexandra-Chloe Villani, Guilin Wang, Jia Yan, Ce Zhang, Angela Pisco, Smita Krishnaswamy, Fabian Theis, Jonathan M Bloom
• Chest ImaGenome Dataset for Clinical Reasoning Joy T Wu, Nkechinyere Agu, Ismini Lourentzou, Ismini Lourentzou, Arjun Sharma, Joseph Alexander Paguio, Jasper Seth Yao, Edward C Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo Anthony Celi, Mehdi Moradi
• WRENCH: A Comprehensive Benchmark for Weak Supervision Jieyu Zhang, Yue Yu, NameError, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner
• Modeling Worlds in Text Prithviraj Ammanabrolu, Mark Riedl
• A Dataset for Answering Time-Sensitive Questions Wenhu Chen, Xinyi Wang, William Yang Wang, William Yang Wang
• The PAIR-R24M Dataset for Multi-animal 3D Pose Estimation Jesse Marshall, Ugne Klibaite, amanda gellis, Diego Aldarondo, Bence Olveczky, Timothy W Dunn
• The People’s Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage Daniel Galvez, Greg Diamos, Juan Torres, Keith Achorn, Juan Cerón, Anjali Gopi, David Kanter, Max Lam, Mark Mazumder, Vijay Janapa Reddi
• CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani
• The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation Alex Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
• Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics Charan Reddy, Deepak Sharma, Soroush Mehri, Adriana Romero Soriano, Samira Shabanian, Sina Honari
• Datasets for Online Controlled Experiments Chak Hin Bryan Liu, Angelo Cardoso, Paul Couturier, Emma McCoy
• The CLEAR Benchmark: Continual LEArning on Real-World Imagery Zhiqiu Lin, Jia Shi, Deepak Pathak, Deva Ramanan
• ReaSCAN: Compositional Reasoning in Language Grounding Zhengxuan Wu, Elisa Kreiss, Desmond Ong, Christopher Potts
• Isaac Gym: High Performance GPU Based Physics Simulation For Robot Learning Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, Gavriel State
• A Unified Few-Shot Classification Benchmark to Compare Transfer and Meta Learning Approaches Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle, Hugo Larochelle
• Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions Chenyu Yi, SIYUAN YANG, Haoliang Li, Yap-peng Tan, Alex Kot
• Really Doing Great at Estimating CATE? A Critical Look at ML Benchmarking Practices in Treatment Effect Estimation Alicia Curth, David Svensson, Jim Weatherall, Mihaela van der Schaar
• FLIP: Benchmark tasks in fitness landscape inference for proteins Christian Dallago, Jody Mou, Jody Mou, Kadina Johnston, Bruce Wittmann, Nicholas Bhattacharya, Samuel Goldman, Ali Madani, Kevin Yang
• PROCAT: Product Catalogue Dataset for Implicit Clustering, Permutation Learning and Structure Prediction Mateusz Jurewicz, Leon Derczynski
• GraphGT: Machine Learning Datasets for Graph Generation and Transformation Yuanqi Du, Shiyu Wang, Xiaojie Guo, Hengning Cao, Shujie Hu, Junji Jiang, Aishwarya Varala, Abhinav Angirekula, Liang Zhao
• Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models Boxin Wang, Chejian Xu, Shuohang Wang, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Awadallah, Bo Li
• CCNLab: A Benchmarking Framework for Computational Cognitive Neuroscience Nikhil Bhattasali, Momchil Tomov, Samuel J Gershman
• Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita
• A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning Gaoussou Kebe, Padraig Higgins, Patrick Jenkins, Kasra Darvish, Rishabh Sachdeva, Ryan Barron, John Winder, Donald Engel, Edward Raff, Francis Ferraro, Cynthia Matuszek
• Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI Santhosh Kumar Ramakrishnan, Aaron Gokaslan, Erik Wijmans, Oleksandr Maksymets, Alexander Clegg, John Turner, Eric Undersander, Wojciech Galuba, Andrew Westbury, Angel Chang, Manolis Savva, Yili Zhao, Dhruv Batra
• Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers Loren Lugosch, Piyush Papreja, Mirco Ravanelli, Abdelwahab HEBA, Titouan Parcollet, Titouan Parcollet
• A realistic approach to generate masked faces applied on two novel masked face recognition data sets Tudor-Alexandru Mare, Georgian Duta, Iuliana Georgescu, Adrian Sandru, Bogdan Alexe, Marius Popescu, Radu Tudor Ionescu
• FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark  Mingjie Li, Wenjia Cai, Rui Liu, Yuetian Weng, Xiaoyun Zhao, Cong Wang, Xin Chen, Zhong Liu, Caineng Pan, Mengke Li, yingfeng zheng, Yizhi Liu, Flora Salim, Karin Verspoor, Xiaodan Liang, Xiaojun Chang
• Few-Shot Learning Evaluation in Natural Language Understanding Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Saghar Hosseini, Hao Cheng, Ge Yang, Christopher Meek, Ahmed Awadallah, Jianfeng Gao
• MultiBench: Multiscale Benchmarks for Multimodal Representation Learning Paul Pu Liang, Yiwei Lyu, Xiang Fan, Zetian Wu, Yun Cheng, Jason Wu, Leslie (Yufan) Chen, Peter Wu, Michelle A. Lee, Yuke Zhu, Ruslan Salakhutdinov, Louis-Philippe Morency
• OmniPrint: A Configurable Printed Character Synthesizer Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
• A Toolbox for Construction and Analysis of Speech Datasets Evelina Bakhturina, Vitaly Lavrukhin, Boris Ginsburg
• What Would Jiminy Cricket Do? Towards Agents That Behave Morally Dan Hendrycks, Mantas Mazeika, Andy Zou, Sahil Patel, Christine Zhu, Jesus Navarro, Dawn Song, Bo Li, Jacob Steinhardt
• Programming Puzzles Tal Schuster, Ashwin Kalyan, Alex Polozov, Adam Kalai
• RB2: Robotic Manipulation Benchmarking with a Twist Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin Wang, Abitha Thankaraj, Karanbir Chahal, Berk Calli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta
• Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research Bernard Koch, Emily Denton, Alex Hanna, Jacob G Foster
• An Extensible Benchmark Suite for Learning to Simulate Physical Systems Karl Otness, Arvi Gjoka, Joan Bruna, Daniele Panozzo, Benjamin Peherstorfer, Teseo Schneider, Denis Zorin
• CommonsenseQA 2.0: Exposing the Limits of AI through Gamification Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant
• WildfireDB: An Open-Source Dataset Connecting Wildfire Occurrence with Relevant Determinants Samriddhi Singla, Ayan Mukhopadhyay, Michael Wilbur, Tina Diao, Vinayak Gajjewar, Ahmed Eldawy, Mykel J Kochenderfer, Ross Shachter, Abhishek Dubey
• The Neural MMO Platform for Massively Multiagent Research Joseph Suarez, Yilun Du, Clare Zhu, Igor Mordatch, Phillip Isola
• Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, James Hays
• NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation David Alfonso-Hermelo, Ahmad Rashid, Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh
• Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
• LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation Junjue Wang, Zhuo Zheng, Ailong Ma, Xiaoyan Lu, Yanfei Zhong
• CropHarvest: A global dataset for crop-type classification Gabriel Tseng, Ivan Zvonkov, Catherine Nakalembe, Hannah Kerner
• Addressing "Documentation Debt" in Machine Learning: A Retrospective Datasheet for BookCorpus John Bandy, Nicholas Vincent
• CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge Yasumasa Onoe, Michael Zhang, Eunsol Choi, Greg Durrett
• HiRID-ICU-Benchmark --- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch
• What Ails One-Shot Image Segmentation: A Data Perspective Mayur Hemani, Abhinav Patel, Tejas Shimpi, Anirudha Ramesh, Balaji Krishnamurthy
• DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space Lukas Kondmann, Aysim Toker, Marc Rußwurm, Andrés Camero, Devis Peressuti, Grega Milcinski, Pierre-Philippe Mathieu, Nicolas Longepe, Timothy Davis, Giovanni Marchisio, Laura Leal-Taixé, Xiaoxiang Zhu
• STAR: A Benchmark for Situated Reasoning in Real-World Videos Bo Wu, Shoubin Yu, Zhenfang Chen, Josh Tenenbaum, Chuang Gan
• LiRo: Benchmark and leaderboard for Romanian language tasks Stefan Dumitrescu, Petru Rebeja, Beata Lorincz, Mihaela Gaman, Andrei Avram, Mihai Ilie, Andrei Pruteanu, Adriana Stan, Lorena Rosia, Cristina Iacobescu, Luciana Morogan, George Dima, Gabriel Marchidan, Traian Rebedea, Madalina Chitez, Dani Yogatama, Sebastian Ruder, Radu Tudor Ionescu, Razvan Pascanu, Viorica Patraucean
• The Met Dataset: Instance-level Recognition for Artworks Nikolaos-Antonios Ypsilantis, Noa Garcia, Guangxing Han, Sarah Ibrahimi, Nanne van Noord, Giorgos Tolias
• A Large-Scale Database for Graph Representation Learning Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng Chau
• BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling Zhaojiang Lin, Andrea Madotto, Genta Winata, Peng Xu, Feijun Jiang, Yuxiang Hu, Chen Shi, Pascale N Fung
• SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing XU
• BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, Iryna Gurevych
• Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management Cécile Logé, Emily Ross, David Dadey, Saahil Jain, Adriel Saporta, Andrew Ng, Pranav Rajpurkar, Pranav Rajpurkar
• CrowdSpeech and Vox DIY: Benchmark Dataset for Crowdsourced Audio Transcription Nikita Pavlichenko, Ivan Stelmakh, Dmitry Ustalov
• HumBugDB: A Large-scale Acoustic Mosquito Dataset Ivan Kiskin, Marianne Sinka, Adam Cobb, Waqas Rafique, Lawrence Wang, Davide Zilli, Benjamin Gutteridge, Rinita Dam, Theodoros Marinos, Yunpeng Li, Dickson Msaky, Emmanuel Kaindoa, Gerard Killeen, Eva Herreros-Moya, Kathy Willis, Stephen J Roberts
• ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Afshin Dehghan, Gilad Baruch, Zhuoyuan Chen, Yuri Feigin, Peter Fu, Thomas Gebauer, Daniel Kurz, Tal Dimry, Brandon Joffe, Arik Schwartz, Elad Shulman
• One Million Scenes for Autonomous Driving: ONCE Dataset Jiageng Mao, Niu Minzhe, ChenHan Jiang, hanxue liang, Jingheng Chen, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Chunjing XU, Hang Xu
• FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information Rami Aly, Zhijiang Guo, Michael Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal
• Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing Sarah Wiegreffe, Ana Marasovic
• Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Jiarong Xu, Yang Yang, Jie Tang
• CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review Dan Hendrycks, Collin Burns, Anya Chen, Spencer Ball
• DEBAGREEMENT: A comment-reply dataset for (dis)agreement detection in online debates John Pougué-Biyong, Valentina Semenova, Alexandre Matton, Rachel Han, Aerin Kim, Renaud Lambiotte, Doyne Farmer
• Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection John Lambert, James Hays
• ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J DiCarlo, Josh Tenenbaum, Josh McDermott, Dan Yamins
• Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning Thomas Liao, Rohan Taori, Deborah Raji, Ludwig Schmidt
• Personalized Benchmarking with the Ludwig Benchmarking Toolkit Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré
• Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution Camille Garcin, alexis joly, Pierre Bonnet, Antoine Affouard, Jean-Christophe Lombardo, Mathias Chouet, Maximilien Servajean, Titouan Lorieul, Joseph Salmon
• Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs Zihao Wang, Hang Yin, Yangqiu Song
• RELLISUR: A Real Low-Light Image Super-Resolution Dataset Andreas Aakerberg, Kamal Nasrollahi, Thomas Moeslund
• Intelligent Sight and Sound: A Chronic Cancer Facial Pain Dataset Catherine Ordun, Alexandra Cha, Edward Raff, Byron Gaskin, Alexander Hanson, Mason Rule, Sanjay Purushotham, James Gulley
• The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions Jennifer J Sun, Tomomi Karigo, Dipam Chakraborty, Sharada Mohanty, Benjamin Wild, Quan Sun, Chen Chen, David Anderson, Pietro Perona, Yisong Yue, Ann Kennedy
• Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge Belongie, Alan Yuille, Philip Torr, Song Bai
• The CPD Data Set: Personnel, Use of Force, and Complaints in the Chicago Police Department Thibaut Horel, Lorenzo Masoero, Raj Agrawal, Daria Roithmayr, Trevor Campbell
• VFP290K: A Large-Scale Benchmark Dataset for Vision-based Fallen Person Detection Jaeju An, Jeongho Kim, Hanbeen Lee, Jinbeom Kim, Junhyung Kang, Minha Kim, Saebyeol Shin, Minha Kim, Donghee Hong, Simon Woo
• Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials Yang Deng, Juncheng Dong, Simiao Ren, Omar Khatib, Mohammadreza Soltani, Vahid Tarokh, Willie Padilla, Jordan Malof
• FS-Mol: A Few-Shot Learning Dataset of Molecules Megan Stanley, John Bronskill, Krzysztof Maziarz, Hubert Misztela, Jessica Lanini, Marwin Segler, Nadine Schneider, Marc Brockschmidt
• DABS: a Domain-Agnostic Benchmark for Self-Supervised Learning Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah Goodman
• Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal ALIAS PARTH GOYAL, Guillaume Lajoie, Stefan Bauer, Danilo Jimenez Rezende, Michael Mozer, Yoshua Bengio, Chris Pal
• AP-10K: A Benchmark for Animal Pose Estimation in the Wild Hang Yu, Yufei Xu, Jing Zhang, Wei Zhao, Ziyu Guan, Dacheng Tao
• It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks Michelle Bao, Angela Zhou, Samantha Zottola, Brian Brubach, Brian Brubach, Sarah Desmarais, Aaron Horowitz, Kristian Lum, Suresh Venkatasubramanian
• HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, Rene Sass, Aaron Klein, Noor Awad, Marius Lindauer, Frank Hutter
• SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Lee, Marshall Burke, David Lobell, Stefano Ermon
• STEP: Segmenting and Tracking Every Pixel Mark Weber, Jun Xie, Maxwell Collins, Yukun Zhu, Paul Voigtlaender, Bo Chen, Bradley Green, Andreas Geiger, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Maxwell Collins
• Neural Latents Benchmark ‘21: Evaluating latent variable models of neural population activity Felix Pei, Joel Ye, David Zoltowski, David Zoltowski, Anqi Wu, Raeed Chowdhury, Hansem Sohn, Joseph O'Doherty, Krishna V Shenoy, Matthew Kaufman, Mark Churchland, Mehrdad Jazayeri, Lee Miller, Jonathan Pillow, Il Memming Park, Eva Dyer, Chethan Pandarinath
• KLUE: Korean Language Understanding Evaluation Sungjoon Park, Jihyung Moon, Sungdong Kim, Won Ik Cho, Ji Yoon Han, Jangwon Park, Chisung Song, Junseong Kim, Youngsook Song, Taehwan Oh, Joohong Lee, Juhyun Oh, Sungwon Lyu, Younghoon Jeong, Inkwon Lee, Sangwoo Seo, Dongjun Lee, Hyunwoo Kim, Myeonghwa Lee, Seongbo Jang, Seungwon Do, Sunkyoung Kim, Kyungtae Lim, Jongwon Lee, Kyumin Park, Jamin Shin, Seonghyun Kim, Lucy Park, Lucy Park, Alice Oh, Jung-Woo Ha (NAVER AI Lab), Kyunghyun Cho, Kyunghyun Cho
• ImageNet-21K Pretraining for the Masses Tal Ridnik, Emanuel Ben-Baruch, Asaf Noy, Lihi Zelnik
• Relational Pattern Benchmarking on the Knowledge Graph Link Prediction Task Afshin Sadeghi, Hirra Malik, Diego Collarana, Jens Lehmann
• Artsheets for Art Datasets Ramya Srinivasan, Emily Denton, Jordan Famularo, Negar Rostamzadeh, Fernando Diaz, Beth Coleman
• Benchmarking Multimodal AutoML for Tabular Data with Text Fields Xingjian Shi, Jonas Mueller, Nick Erickson, Nick Erickson, Mu Li, Alexander Smola, Alexander Smola
• SynthBio: A Case Study in Faster Curation of Text Datasets Ann Yuan, Daphne Ippolito, Vitaly Nikolaev, Chris Callison-Burch, Andy Coenen, Sebastian Gehrmann
• EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction Ard Kastrati, Martyna Plomecka, Damian Pascual Ortiz, Lukas Wolf, Victor Gillioz, Roger Wattenhofer, Nicolas Langer
• RobustBench: a standardized adversarial robustness benchmark Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Edoardo Debenedetti, Nicolas Flammarion, Mung Chiang, Prateek Mittal, Matthias Hein
• EventNarrative: A Large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation Anthony Colas, Ali Sadeghian, Yue Wang, Daisy Zhe Wang
• Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents Jane Wang, Michael King, Nicolas Porcel, Zeb Kurth-Nelson, Tina Zhu, Charles Deck, Peter Choy, Mary Cassin, Malcolm Reynolds, Francis Song, Gavin Buttimore, David Reichert, Neil Rabinowitz, Loic Matthey, Demis Hassabis, Alexander Lerchner, Matt Botvinick
• CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks Ruchir Puri, David Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladimir Zolotov, Julian T Dolby, Jie Chen, Mihir Choudhury, Lindsey Decker, Veronika Thost, Veronika Thost, Luca Buratti, Saurabh Pujar, Shyam Ramji, Ulrich Finkler, Susan Malaika, Frederick Reiss
• Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning Cameron Voloshin, Hoang Le, Nan Jiang, Yisong Yue
• TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers Lianmin Zheng, Ruochen Liu, Junru Shao, Tianqi Chen, Joseph Gonzalez, Ion Stoica, Ameer Haj-Ali
• Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis, Filippos Christianos, Lukas Schäfer, Stefano Albrecht
• VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Wang, William Yang Wang, William Yang Wang, Tamara L Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu
• Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks Neil Band, Tim G. J. Rudner, Qixuan Feng, Angelos Filos, Zachary Nado, Mike Dusenberry, Ghassen Jerfel, Dustin Tran, Yarin Gal
• Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks Andrey Malinin, Neil Band, Yarin Gal, Mark Gales, Alexander Ganshin, German Chesnokov, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, Vyas Raina, Denis Roginskiy, Mariya Shmatova, Panagiotis Tigas, Boris Yangel
• Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark Solène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Estève, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, laurent besacier
• Towards a robust experimental framework and benchmark for lifelong language learning Aman Hussain, Nithin Holla, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
• Dynamic Environments with Deformable Objects Rika Antonova, peiyang shi, Hang Yin, Zehang Weng, Danica Kragic
• CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms Martin Pawelczyk, Sascha Bielawski, Johan Van den Heuvel, Tobias Richter, Gjergji. Kasneci
• A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer 威佳 吴, Debing Zhang, Yuanqiang Cai, Sibo Wang, Sibo Wang, Jiahong Li, Zhuang Li, Yejun Tang, Hong Zhou
• The Tufts fNIRS Mental Workload Dataset & Benchmark for Brain-Computer Interfaces that Generalize zhe huang, Liang Wang, Giles Blaney, Christopher Slaughter, Devon McKeon, Ziyu Zhou, Robert Jacob, Robert Jacob, Michael Hughes
• Measuring Mathematical Problem Solving With the MATH Dataset Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, Jacob Steinhardt
• Contemporary Symbolic Regression Methods and their Relative Performance William La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabricio de Franca, Marco Virgolin, Ying Jin, Michael Kommenda, Jason Moore
• Synthetic Benchmarks for Scientific Research in Explainable Machine Learning Yang Liu, Sujay Khandagale, Sujay Khandagale, Colin White, Willie Neiswanger
• CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, MING GONG, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie LIU
• MQBench: Towards Reproducible and Deployable Model Quantization Benchmark Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan
• Measuring Coding Challenge Competence With APPS Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, Jacob Steinhardt
• ATOM3D: Tasks on Molecules in Three Dimensions Raphael Townshend, Martin Vögele, Patricia Suriana, Alex Derry, Alexander Powers, Yianni Laloudakis, Sidhika Balachandar, Bowen Jing, Brandon Anderson, Stephan Eismann, Risi Kondor, Russ Altman, Ron Dror
• Seasons in Drift: A Long Term Thermal Imaging Dataset for Studying Concept Drift Ivan Nikolov, Mark Philip Philipsen, Jinsong Liu, Jacob Dueholm, Anders Johansen, Kamal Nasrollahi, Thomas Moeslund
• WaveFake: A Data Set to Facilitate Audio Deepfake Detection Joel Frank, Lea Schönherr
• OpenML Benchmarking Suites Bernd Bischl, Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Pieter Gijsbers, Frank Hutter, Michel Lang, Rafael Gomes Mantovani, Jan van Rijn, Joaquin Vanschoren
• RadGraph: Extracting Clinical Entities and Relations from Radiology Reports Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven Truong, Du Nguyen Duong Nguyen Duong, Tan Bui, Pierre Chambon, Yuhao Zhang, Matthew Lungren, Andrew Ng, Curtis Langlotz, Pranav Rajpurkar, Pranav Rajpurkar
• $\texttt{RP-Mod}\ \&\ \texttt{RP-Crowd:}$ Moderator- and Crowd-Annotated German News Comment Datasets Dennis Assenmacher, Marco Niemann, Kilian Müller, Moritz Seiler, Dennis Riehle, Heike Trautmann, Heike Trautmann
• Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience Johannes C. Paetzold, Julian McGinnis, Suprosanna Shit, Ivan Ezhov, Paul Büschl, Chinmay Prabhakar, Anjany Sekuboyina, Mihail Todorov, Georgios Kaissis, Ali Ertürk, Stephan Günnemann, Bjoern Menze
• RAFT: A Real-World Few-Shot Text Classification Benchmark Neel Alex, Eli Lifland, Lewis Tunstall, Abhishek Thakur, Pegah Maham, C. Riedel, Emmie Hine, Carolyn Ashurst, Paul Sedille, Alexis Carlier, Michael Noetel, Andreas Stuhlmüller
• Hardware Design and Accurate Simulation of Structured-Light Scanning for Benchmarking of 3D Reconstruction Algorithms Sebastian Koch, Yurii Piadyk, Markus Worchel, Marc Alexa, Claudio Silva, Denis Zorin, Daniele Panozzo
• Physion: Evaluating Physical Prediction from Vision in Humans and Machines Daniel Bear, Elias Wang, Damian Mrowca, Felix Binder, Hsiao-Yu Tung, Pramod RT, Cameron Holdaway, Sirui Tao, Kevin Smith, Fan-Yun Sun, Fei-Fei Li, Nancy Kanwisher, Josh Tenenbaum, Dan Yamins, Judith Fan
• Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation Daniel Freeman, Erik Frey, Anton Raichuk, Sertan Girgin, Igor Mordatch, Olivier Bachem
• IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning Pan Lu, Liang Qiu, Jiaqi Chen, Tanglin Xia, Yizhou Zhao, Wei Zhang, Zhou Yu, Xiaodan Liang, Song-Chun Zhu
• A Procedural World Generation Framework for Systematic Evaluation of Continual Learning Timm Hess, Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
• SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Pascal Fua, Mathieu Salzmann, Matthias Rottmann
• B-Pref: Benchmarking Preference-Based Reinforcement Learning Kimin Lee, Laura Smith, Anca Dragan, Pieter Abbeel
• NaturalProofs: Mathematical Theorem Proving in Natural Language Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hanna Hajishirzi, Yejin Choi, Kyunghyun Cho, Kyunghyun Cho
• FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset Hasam Khalid, Shahroz Tariq, Minha Kim, Simon Woo
• MLPerf Tiny Benchmark Colby Banbury, Vijay Janapa Reddi, Peter Torelli, Nat Jeffries, Csaba Kiraly, Jeremy Holleman, Pietro Montino, David Kanter, Pete Warden, Danilo Pau, Urmish Thakker, antonio torrini, jay cordaro, Giuseppe Di Guglielmo, Javier Duarte, Honson Tran, Nhan Tran, niu wenxu, xu xuesong
• OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec
• RedCaps: Web-curated image-text data created by the people, for the people Karan Desai, Gaurav Kaul, Zubin Aysola, Justin Johnson
• An Information Retrieval Approach to Building Datasets for Hate Speech Detection Md Mustafizur Rahman, Dinesh Balakrishnan, Dhiraj Murthy, Mucahid Kutlu, Matt Lease
• COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening Tong Xia, Dimitris Spathis, Chlo{\"e} Brown, J Ch, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Erika Bondareva, Ting Dang, Andres Floto, Pietro Cicuta, Cecilia Mascolo
• ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation Laurynas Karazija, Iro Laina, Christian Rupprecht
• MIND dataset for diet planning and dietary healthcare with machine learning: Dataset creation using combinatorial optimization and controllable generation with domain experts Changhun Lee, Soohyeok Kim, Sehwa Jeong, Chiehyeon Lim, Jayun Kim, Yeji Kim, Minyoung Jung
• A Channel Coding Benchmark for Meta-Learning Rui Li, Ondrej Bohdal, Rajesh K Mishra, Hyeji Kim, Da Li, Nicholas Lane, Timothy Hospedales
• Revisiting Time Series Outlier Detection: Definitions and Benchmarks Kwei-Herng Lai, Daochen Zha, Junjie Xu, Yue Zhao, Guanchu Wang, Xia Hu
• Chaos as an interpretable benchmark for forecasting and data-driven modelling William Gilpin
• HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML Sebastian Pineda Arango, Hadi Jomaa, Martin Wistuba, Josif Grabocka
• Automatic Construction of Evaluation Suites for Natural Language Generation Datasets Simon Mille, Kaustubh Dhole, Saad Mahamood, Laura Perez-Beltrachini, Varun Prashant Gangal, Mihir Kale, Emiel van Miltenburg, Sebastian Gehrmann
• WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges Björn Barz, Joachim Denzler
• ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su
• Monash Time Series Forecasting Archive Rakshitha W Godahewa, Christoph Bergmeir, Geoffrey Webb, Rob Hyndman, Pablo Montero-Manso
• Which priors matter? Benchmarking models for learning latent dynamics Aleksandar Botev, Andrew Jaegle, Peter Wirnsberger, Daniel Hennes, Irina Higgins
• Reinforcement Learning Benchmarks for Traffic Signal Control James Ault, Guni Sharon
• Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks Curtis Northcutt, Anish Athalye, Jonas Mueller
• Benchmarks for Corruption Invariant Person Re-identification Minghui Chen, Zhiqiang Wang, Feng Zheng
• CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer Moein Sorkhei, Yue Liu, Hossein Azizpour, Edward Azavedo, Karin Dembrower, Dimitra Ntoula, Athanasios Zouzos, Fredrik Strand, Kevin Smith
• ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models Salva Rühling Cachay, Venkatesh Ramesh, Jason Cole, Howard Barker, David Rolnick
• Variance-Aware Machine Translation Test Sets Runzhe Zhan, Xuebo Liu, Derek Wong, Lidia Chao
• An Empirical Investigation of Representation Learning for Imitation Cynthia Chen, Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah
• MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Kuttler, Edward Grefenstette, Tim Rocktäschel
• Multilingual Spoken Words Corpus Mark Mazumder, Sharad Chitlangia, Colby Banbury, Yiping Kang, Juan Ciro, Keith Achorn, Daniel Galvez, Mark Sabini, Peter Mattson, David Kanter, Greg Diamos, Pete Warden, Josh Meyer, Vijay Janapa Reddi