cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/u5gxjcji
title: CIFAR-100 vs. SVHN

description: The dataset used in the paper for out-of-distribution detection via conditional distribution entropy with optimal transport.
DOI: 10.57702/o987w4w0
title: Adolf-Bryfogle et al. test set

description: The test set for paratope docking contains 60 antibody-antigen complexes with diverse antigen types.
DOI: 10.57702/zny3livr
title: MiniGrid and ProcGen environments

description: The dataset used in the paper is a procedurally-generated (PCG) environment, specifically the MiniGrid and ProcGen environments.
DOI: 10.57702/luldwr3n
title: ProcGen environments

description: The dataset used in the paper is a procedurally-generated (PCG) environment, specifically the MiniGrid and ProcGen environments.
DOI: 10.57702/qqvu6iqj
title: Airbnb Search Ranking

description: Airbnb search ranking dataset
DOI: 10.57702/msuxxlhk
title: Stationarity of the detrended price return in stock markets

description: The dataset is used to test the stationarity of the detrended price return in stock markets.
DOI: 10.57702/7hirzhlf
title: Selective Particle Attention: Visual Feature-Based Attention in Deep Reinforcement Learning

description: The human brain uses selective attention to filter perceptual input so that only the components that are useful for behavior are processed using its limited computational resources.
DOI: 10.57702/0c9xvdo3
title: Unfun.me dataset

description: A dataset of satirical and similar-but-serious-looking headlines collected via Unfun.me, an online game.
DOI: 10.57702/8w77up8n
title: Zulu Stance Detection Dataset

description: The dataset for Stance Detection in Zulu language, created for the purpose of this paper.
DOI: 10.57702/5oizfgpf
title: English Tweets Dataset

description: The dataset for English Tweets, used as the source domain for Domain Adaptation.
DOI: 10.57702/k3instsw
title: KITTI2015

description: Self-supervised monocular depth estimation from monocular video sequences
DOI: 10.57702/3oie5a9r
title: MARGE: A Pre-trained Sequence-to-Sequence Model for Multi-lingual Paraphrasing

description: MARGE is a pre-trained sequence-to-sequence model learned with an unsupervised multi-lingual multi-document paraphrasing objective.
DOI: 10.57702/5dzs8vrg
title: Roberta: A Robustly Optimized BERT Pre-training Approach

description: Robert is a robustly optimized BERT pre-training approach.
DOI: 10.57702/lwfwuwiy
title: PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification

description: PAWS-X: A cross-lingual adversarial dataset for paraphrase identification.
DOI: 10.57702/mt69o3yg
title: Xlnet: Generalized Autoregressive Pretraining for Language Understanding

description: The Xlnet is a generalized autoregressive pretraining model for language understanding.
DOI: 10.57702/ryewmi0s
title: Active Learning and Best-Response Dynamics

description: The dataset used in the paper is a large number of low-power agents (e.g., sensors) each measuring some quantity, such as whether there is a high or low concentration of a dangerous chemical at their location, but they are assumed to be highly noisy.
DOI: 10.57702/i99eb9fn
title: Tiny-ImageNet, CIFAR100, and CIFAR10

description: The authors used Tiny-ImageNet, CIFAR100, and CIFAR10 datasets for their experiments.
DOI: 10.57702/xbozy39b
title: Single-Zone Multi-Room Houses (SZMRHs) Dataset

description: The dataset used in this study consists of room-level time-series data from 1,000 houses, metadata from 110,000 houses across the United States, and data from two real-world testbeds.
DOI: 10.57702/c06c70tu
title: ecobee Donate Your Data (DYD) Dataset

description: The ecobee Donate Your Data (DYD) dataset consists of data from 1,000 houses across the United States for the year 2017.
DOI: 10.57702/9uoa9ztv
title: ecobee Metadata Dataset

description: The ecobee metadata dataset consists of information from 112,983 houses that participate in the DYD program.
DOI: 10.57702/otue2x0v
title: Voxceleb2

description: The Voxceleb2 dataset is a large-scale speaker recognition dataset, containing 2442 hours raw speech from 6112 speakers.
DOI: 10.57702/d4l4k1vj
title: Doppler Radar for the Extraction of Biomechanical Parameters in Gait Analysis

description: The dataset used in the paper for gait analysis using Doppler radar and motion capture.
DOI: 10.57702/ogpwuglq
title: Discontinuous Constituent Parsing with Pointer Networks

description: Discontinuous Constituent Parsing with Pointer Networks
DOI: 10.57702/pwer6119
title: Discontinuous parsing with continuous trees

description: Discontinuous parsing with continuous trees
DOI: 10.57702/fczl7bld
title: Hands in the Million Challenge (HIM) Dataset

description: The Hands in the Million Challenge (HIM) dataset is a dataset for hand pose estimation. It contains 95,540 depth images from various subjects.
DOI: 10.57702/cbqbhsp2
title: DS, MINLPLib, and QPLIB datasets

description: The dataset used in the paper is a collection of instances of polynomial optimization problems, including randomly generated instances from Dalkiran and Sherali (2016), MINLPLib instances, and QPLIB instances.
DOI: 10.57702/z7a7dlit
title: Design Space Exploration as Quantiﬁed Satisfaction

description: The dataset used in this paper is a set of Boolean functions and their topologies.
DOI: 10.57702/uuab6kw5
title: Aaren: Efficient Attention for Sequence Modeling

description: The dataset used in the paper is a collection of 38 datasets spread across four popular sequential problem settings: reinforcement learning, event forecasting, time series classification, and time series forecasting.
DOI: 10.57702/oheozt1r
title: TNCD: Thyroid Nodule Classiﬁcation Dataset

description: Thyroid Nodule Classiﬁcation Dataset (TNCD) is a benchmark for thyroid nodule diagnosis, containing 3493 ultrasound images taken from 2421 patients.
DOI: 10.57702/2goxc2ba
title: ModelZoo

description: The ModelZoo dataset is a collection of pre-trained models for image classification.
DOI: 10.57702/o5esi8n2
title: Public Goods Game Dataset

description: The dataset is used for classifying temporal data in public goods games. It contains 140 players, each of whom played for 10 rounds.
DOI: 10.57702/5hpasnn0
title: Simulated signal

description: The dataset used in the paper is a simulated signal that consists of time-shifted copies from multiple sources, each with its own template.
DOI: 10.57702/e24yqrye
title: Furiously Can Colourless Green Ideas Sleep?

description: The dataset used in the paper to study the inﬂuence of context on sentence acceptability.
DOI: 10.57702/wvqb6uqy
title: CartoonSet

description: The CartoonSet dataset is a collection of cartoon faces, each composed of 16 components including 12 facial attributes and 4 color attributes.
DOI: 10.57702/0trqfe2d
title: Trust Dataset

description: The dataset is not explicitly described in the paper, but it is mentioned that the authors used a dataset of trust-related questions and answers.
DOI: 10.57702/z4ohr5qr
title: FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design

description: Six-bit quantization can effectively reduce the size of large language models and preserve the model quality consistently across varied applications.
DOI: 10.57702/euaw5vbz
title: Gridworld Environments and Sokoban Puzzles

description: The dataset used in the paper is a set of gridworld environments and Sokoban puzzles.
DOI: 10.57702/z00nrxfb
title: Incidental Scene Text Dataset

description: This dataset consists of 4468 cut-out word images corresponding to the axis-oriented bounding boxes of the words provided.
DOI: 10.57702/qnxtpyvw
title: Single Line Handwritten Text Dataset

description: This dataset contains handwritten single-line English texts whose labels are similar to the IAM dataset.
DOI: 10.57702/8142sydg
title: Bing Images of Short Quotes

description: This dataset contains about 215 images of short quotes with different background styles.
DOI: 10.57702/6y9xb3zn
title: Jackal Robot Dataset

description: A real-world stereo dataset collected by robot teleoperation.
DOI: 10.57702/qqraizm8
title: SemEval-2016 (Task 3A)

description: SemEval-2016 (Task 3A) is a sentence-level QA dataset, containing 1.8k/0.2k/0.3k train/dev/test examples. Each example consists of a community question by a user and 10 comments.
DOI: 10.57702/n4knx7o2
title: Caltech-256 object category dataset

description: The Caltech-256 object category dataset is used to train a CNN for object detection.
DOI: 10.57702/u1vilbcc
title: CIFAR-10, CIFAR-100, CINIC-10, SVHN, and ImageNet

description: The dataset used for the experiments on CIFAR-10, CIFAR-100, CINIC-10, SVHN, and ImageNet.
DOI: 10.57702/e161d0zt
title: Similar Elements

description: The similar elements problem is a special case of the metric labeling problem deﬁned in [2] and we also give an eﬃcient 2-approximation algorithm for the metric labeling problem on complete graphs. The similar elements problem is motivated by applications in machine learning and pattern recognition (see, e.g. [3]). Intuitively we would like to discover something in common among a collection of sets, even when the sets have empty intersection.
DOI: 10.57702/wuhjc869
title: Metric Labeling on Complete Graphs

description: The metric labeling problem on complete graphs generalizes the similar elements problem to include costs for selecting elements in each set.
DOI: 10.57702/59dkvbgg
title: Enron Email Dataset

description: A dataset of communication counts between 184 employees.
DOI: 10.57702/r2lk0ek2
title: Dufﬁng-Van der Pol Oscillator Model

description: The dataset used in this research paper is a continuous dataset of system parameters and error values for a non-linear chaotic combined system of Dufﬁng and Van der pol oscillators.
DOI: 10.57702/6emq7gc5
title: Grapheme-to-Phoneme Conversion, Named-Entity Transliteration, and Morphological Inflection

description: Character-level string-to-string transduction is an important component of various NLP tasks. The goal is to map an input string to an output string, where the strings may be of different lengths and have characters taken from different alphabets.
DOI: 10.57702/i2drovz0
title: CVC-ClinicVideoDB

description: A dataset of 18 colonoscopy videos, each with a different polyp.
DOI: 10.57702/x8ou538n
title: Suppressing evolution through environmental switching

description: The dataset is used to model the emergence of antibiotic resistance in a microbial system with competing phenotypes.
DOI: 10.57702/mbn1djc0
title: Wikipedia Replay Trace

description: The dataset used in this paper is a 24-hour Wikipedia replay trace.
DOI: 10.57702/ipekysik
title: CelebA 64 × 64 and 128 × 128

description: The dataset used in the paper for image inpainting task.
DOI: 10.57702/42nq1ffq
title: Butterﬂy Effect Attack

description: The authors used their own dataset for the experiments.
DOI: 10.57702/20v45q0h
title: SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation

description: SSR-Net: A compact soft stagewise regression network for age estimation.
DOI: 10.57702/5t8ogjmj
title: Fine-grained age estimation in the wild with attention LSTM networks

description: Fine-grained age estimation in the wild with attention LSTM networks.
DOI: 10.57702/qv1dcz5u
title: ACML 2021

description: The dataset used in this paper is a causal graph representing the bail decision process. It includes variables such as race, gender, age, literacy, employment, and case characteristics. The graph is used to quantify edge unfairness and propose an unfair edge prioritization algorithm.
DOI: 10.57702/o9hjqz7x
title: Semi-supervised learning by selective training with pseudo labels via conﬁdence estimation

description: Semi-supervised learning by selective training with pseudo labels via conﬁdence estimation
DOI: 10.57702/8gycyosb
title: Data-agnostic face image synthesis detection using Bayesian CNNs

description: Face image synthesis detection is considerably gaining attention because of the potential negative impact on society that this type of synthetic data brings. In this paper, we propose a data-agnostic solution to detect the face image synthesis process.
DOI: 10.57702/ryxntz6f
title: Data-Efficient Instance Generation from Instance Discrimination

description: Data-efficient instance generation from instance discrimination.
DOI: 10.57702/nktv5fqh
title: Extended Labeled Faces in the Wild (ELFW)

description: Extended Labeled Faces in-the-Wild (ELFW) dataset is an extension of the Labeled Faces in-the-Wild (LFW) dataset, with additional face-related categories and synthetic objects.
DOI: 10.57702/v6v16l7k
title: Evaluation Dataset for Biographies about Women

description: A dataset of 1,527 Wikipedia biographies about women, where information on the internet is not as easily retrieved.
DOI: 10.57702/ihmdq338
title: Supersizing Self-supervision: Learning to Grasp

description: A large-scale experimental study that increases the amount of data for learning to grasp, providing complete labeling in terms of whether an object can be grasped at a particular location and angle.
DOI: 10.57702/3at2qyse
title: Columbia Grasp Database

description: A database of grasp synthesis algorithms.
DOI: 10.57702/tvk5um2r
title: Visgrab

description: A benchmark for vision-based grasping.
DOI: 10.57702/eib55agh
title: MovieLens-100K, Steam-200K, Gowalla

description: MovieLens-100K, Steam-200K, Gowalla datasets used for federated recommender system experiments
DOI: 10.57702/xsb4zo3b
title: GEEvo: Game Economy Generation and Balancing

description: The dataset used in the paper is a set of generated game economies and balancing objectives.
DOI: 10.57702/p2pv0tbk
title: Global Precipitation Measurements (GPM) Program and Mission

description: Global Precipitation Measurements (GPM) dataset
DOI: 10.57702/af6xy4jk
title: Jamming Source Localization Using Augmented Physics-Based Model

description: The dataset used in the paper is a crowdsourced dataset of jamming source localization using augmented physics-based model.
DOI: 10.57702/ldocok3q
title: Metro-trafﬁc

description: The dataset used in the paper for time series forecasting tasks
DOI: 10.57702/4x33kgmw
title: Trafﬁc ﬂow

description: The dataset used in the paper for time series forecasting tasks
DOI: 10.57702/wja0a3u9
title: SEVEN: Deep Semi-supervised Veriﬁcation Networks

description: Veriﬁcation determines whether two samples belong to the same class or not, and has important applications such as face and ﬁngerprint veriﬁca- tion, where thousands or millions of categories are present but each category has scarce labeled exam- ples, presenting two major challenges for existing deep learning models.
DOI: 10.57702/6e05be0s
title: US Postal Service dataset

description: The US Postal Service (USPS) dataset is a collection of 9298 handwritten digits automatically scanned from envelopes by the US Postal Service.
DOI: 10.57702/s7vlsty3
title: BiosecurID-SONOF dataset

description: The BiosecurID-SONOF dataset is a collection of signatures collected from 132 users, each user has 16 signatures.
DOI: 10.57702/pca3iyxx
title: FEDEBA+: TOWARDS FAIR AND EFFECTIVE FEDERATED LEARNING VIA ENTROPY-BASED MODEL

description: Ensuring fairness is a crucial aspect of Federated Learning (FL), which enables the model to perform consistently across all clients. However, designing an FL algorithm that simultaneously improves global model performance and promotes fairness remains a formidable challenge, as achieving the latter often necessitates a trade-off with the former.
DOI: 10.57702/4pdt4jbr
title: TravelPlanner

description: The TravelPlanner dataset is a benchmark for real-world planning with language agents.
DOI: 10.57702/9btq3khk
title: A survey of reasoning with foundation models

description: The paper discusses the challenges of using large language models for reasoning tasks.
DOI: 10.57702/8fihb4f6
title: PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

description: PromptCBLUE is a Chinese prompt tuning benchmark for the medical domain.
DOI: 10.57702/uzxhw9u2
title: Firefly

description: Firefly is a Chinese dialogue-style large language model.
DOI: 10.57702/g282mltw
title: iNaturalist 2018 dataset

description: The dataset used in the paper is the iNaturalist 2018 dataset, which is a real-world large-scale imbalanced dataset.
DOI: 10.57702/5kvmd7lf
title: CTU-13 dataset

description: The CTU-13 dataset is a network capture dataset containing 13 malware traffic captures, consisting of both benign and malware traffic.
DOI: 10.57702/xog75c64
title: P4PIN corpus

description: The P4PIN corpus is a corpus specially built for evaluating the identification of paraphrase plagiarism. It contains pairs of text fragments where one fragment represents the original source text and the other represents a paraphrased version of the original.
DOI: 10.57702/ayvmco62
title: AgentInstruct

description: The dataset used in the paper to investigate backdoor threats to LLM-based agents.
DOI: 10.57702/7215hujg
title: Hong Kong Polytechnic University High Resolution Fingerprint database (PolyU-HRF) and L3-SF Database

description: The Hong Kong Polytechnic University High Resolution Fingerprint database (PolyU-HRF) and L3-SF Database are used to evaluate the effectiveness of the proposed method.
DOI: 10.57702/xab297sx
title: HealthVidQA-CRF

description: The HealthVidQA-CRF dataset is a large-scale medical instructional video question-answering dataset. It contains 23,434 video-question-answer triplets from 11,708 medical videos.
DOI: 10.57702/eml5p339
title: HealthVidQA-Prompt

description: The HealthVidQA-Prompt dataset is a large-scale medical instructional video question-answering dataset. It contains 52,771 video-question-answer triplets from 13,990 medical videos.
DOI: 10.57702/4nrgw07p
title: Linear Quadratic Regulator (LQR)

description: The Linear Quadratic Regulator (LQR) dataset is used to study the sample complexity of model-based and model-free algorithms for policy evaluation and policy optimization.
DOI: 10.57702/1hl6ph4j
title: A convolutional neural network based single-frame super-resolution for lensless blood cell counting

description: A convolutional neural network based single-frame super-resolution for lensless blood cell counting
DOI: 10.57702/2ng5vxbq
title: Berkeley Admissions Dataset

description: The Berkeley admissions dataset is used to study bias in graduate admissions.
DOI: 10.57702/993eyrm5
title: NLPR MCT dataset

description: The NLPR MCT dataset consists of four sub-datasets. Each sub-dataset includes 3-5 cameras with non-overlapping scenes and has a different situation according to the number of people (ranging from 14 to 255) and the level of illumination changes and occlusions.
DOI: 10.57702/dgs2yj8p
title: Task-speciﬁc data

description: Task-speciﬁc data
DOI: 10.57702/iediu2ih
title: Scripted pick and place policy

description: Scripted pick and place policy
DOI: 10.57702/p3gevmg6
title: Synthetic Data for Social Navigation

description: The dataset is used to train a social navigation model, and it consists of synthetic data generated using a virtual environment.
DOI: 10.57702/0xgf3116
title: UCSF Medical Center PPG Dataset

description: A large-scale dataset of photoplethysmography (PPG) signals from hospitalized intensive care patients.
DOI: 10.57702/a64c5emu
title: Agqa: A Benchmark for Compositional Spatio-Temporal Reasoning

description: The AGQA benchmark is a visual dataset comprising 192M hand-crafted questions about 9.6K videos from the Charades dataset.
DOI: 10.57702/rc523tcy
title: Star: A Benchmark for Situated Reasoning in Real-World Videos

description: The STAR dataset provides 60K situated reasoning questions based on 22K trimmed situation video clips.
DOI: 10.57702/7a0831hk
title: CHiME-3

description: Automatic transcription of Wall Street Journal articles from the CHiME-3 campaign
DOI: 10.57702/zthvxjrn
title: SAKAMOTO: ULTRA-WIDEBAND RADAR AND WIRELESS HUMAN SENSING

description: The dataset used for radar-based human sensing and imaging, including wireless human body imaging techniques, human micro-Doppler measurements, and radar-based noncontact measurement of physiological signals.
DOI: 10.57702/34tjbj5z
title: BERTTune: Fine-Tuning Neural Machine Translation with BERTScore

description: Neural machine translation models are often biased toward the limited translation references seen during training. To amend this, we propose fine-tuning the models with a novel training objective based on the recently-proposed BERTScore evaluation metric.
DOI: 10.57702/2smcgnmu
title: IWSLT 2014 Shared Task Dataset

description: The IWSLT 2014 shared task dataset contains 152K, 156K, 141K and 172K training sentences for the de-en, zh-en, en-tr and en-es language pairs, respectively.
DOI: 10.57702/fmxubg9g
title: Redwood Benchmark

description: The dataset used for testing the compact geometric features.
DOI: 10.57702/iju7mx3k
title: ReWiTe: Realistic Wide-angle and Telephoto Dual Camera Fusion Dataset via Beam Splitter Camera Rig

description: The ReWiTe dataset is a realistic wide-angle and telephoto dual camera fusion dataset created using a beam splitter camera rig.
DOI: 10.57702/vy0t853v
title: train_nonoise

description: The dataset used to train and test the neural network model for representing ill-known parts of a numerical model.
DOI: 10.57702/z81bys8y
title: train_noise01

description: The dataset used to train and test the neural network model for representing ill-known parts of a numerical model with noise.
DOI: 10.57702/833xmnn9
title: test_windstd

description: The test dataset used to evaluate the performance of the neural network model.
DOI: 10.57702/xuwc40py
title: test_windlow

description: The test dataset used to evaluate the performance of the neural network model with different wind forcing.
DOI: 10.57702/xzej393t
title: Home Depot Datasets

description: The dataset is used for compatible products prediction task. It contains 4 real-world datasets from homedepot.com, each consisting of 5k product pairs sampled from a specific anchor product category and a specific recommendation product category.
DOI: 10.57702/xsolo8fe
title: 3DLoMatch

description: The 3DLoMatch [12] is a registration dataset with low overlap pairs between 10% − 30%.
DOI: 10.57702/rpnpfrg8
title: Towards Real-Time, Country-Level Location Classification of Worldwide Tweets

description: The dataset contains 217 countries, with tweets categorized by country, which are used to train a classiﬁer to determine the country of origin of tweets.
DOI: 10.57702/2mgtycs6
title: Geolocation for Twitter: Timing matters

description: The dataset contains tweets with geolocation information, used to train a classiﬁer to determine the country of origin of tweets.
DOI: 10.57702/0w11q0ju
title: crowd-enVENT

description: A corpus of event descriptions with experiencer-speciﬁc emotion and appraisal annotations.
DOI: 10.57702/nhivago7
title: x-enVENT

description: A corpus of event descriptions with emotion and appraisal annotations.
DOI: 10.57702/vsn9av1l
title: ijcnn1 Dataset

description: The ijcnn1 dataset is used in the paper for distributed logistic regression optimization.
DOI: 10.57702/en2o4f33
title: Phototourism (PT) dataset and HPatches (HP) dataset

description: The dataset used in the paper is the Phototourism (PT) dataset and the HPatches (HP) dataset.
DOI: 10.57702/nlrjhd7x
title: HPatches (HP) dataset

description: The HPatches (HP) dataset is a dataset of local patches used for image retrieval and local feature descriptors.
DOI: 10.57702/y3gcvjs2
title: Data-Driven Wireless Device Classiﬁcation

description: RF data-driven wireless device classification dataset
DOI: 10.57702/kmxwpvgk
title: SeisInv data set

description: The SeisInv data set is a synthetic seismic data set designed for seismic inversion tasks.
DOI: 10.57702/r7g360yt
title: DEEP

description: Detecting Errors through Ensembling Prompts (DEEP) - an end-to-end large language model framework for detecting factual errors in text summarization.