dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
OLGA | The OLGA dataset contains artist similarities from AllMusic, together with content features from AcousticBrainz. With 17,673 artists, this is the largest academic artist similarity dataset that includes content-based features to date. | Provide a detailed description of the following dataset: OLGA |
TMED | TMED is a clinically-motivated benchmark dataset for computer vision and machine learning from limited labeled data.
Two overall goals inspired this dataset:
1) We wish to improve timely diagnosis and treatment of aortic stenosis (AS), a common degenerative cardiac valve condition. AS is a particularly important ... | Provide a detailed description of the following dataset: TMED |
DUC 2006 | There is currently much interest and activity aimed at building powerful multi-purpose information systems. The agencies involved include DARPA, ARDA and NIST. Their programmes, for example DARPA's TIDES (Translingual Information Detection Extraction and Summarization) programme, ARDA's Advanced Question & Answering Pr... | Provide a detailed description of the following dataset: DUC 2006 |
DUC 2007 | There is currently much interest and activity aimed at building powerful multi-purpose information systems. The agencies involved include DARPA, ARDA and NIST. Their programmes, for example DARPA's TIDES (Translingual Information Detection Extraction and Summarization) programme, ARDA's Advanced Question & Answering Pr... | Provide a detailed description of the following dataset: DUC 2007 |
raw gaze data | Data was collected from Tobii Fusion screen-based Eye Tracker. This study collected drivers’ gaze data by letting participants watch dashcam captured videos of driving scenes in the lab setting. Original vidoes are downloaded from [https://github.com/Cogito2012/CarCrashDataset](https://github.com/Cogito2012/CarCrashDat... | Provide a detailed description of the following dataset: raw gaze data |
EXTREME CLASSIFICATION | The objective in extreme multi-label classification is to learn feature architectures and classifiers that can automatically tag a data point with the most relevant subset of labels from an extremely large label set. This repository provides resources that can be used for evaluating the performance of extreme multi-lab... | Provide a detailed description of the following dataset: EXTREME CLASSIFICATION |
ImageNet-VidVRD | ImageNet-VidVRD dataset contains 1,000 videos selected from ILVSRC2016-VID dataset based on whether the video contains clear visual relations. It is split into 800 training set and 200 test set, and covers common subject/objects of 35 categories and predicates of 132 categories. Ten people contributed to labeling the d... | Provide a detailed description of the following dataset: ImageNet-VidVRD |
VidOR | VidOR (Video Object Relation) dataset contains 10,000 videos (98.6 hours) from YFCC100M collection together with a large amount of fine-grained annotations for relation understanding. In particular, 80 categories of objects are annotated with bounding-box trajectory to indicate their spatio-temporal location in the vid... | Provide a detailed description of the following dataset: VidOR |
Euro-PVI | The Euro-PVI dataset contains trajectories of pedestrians and bicyclists, with dense interactions with the ego-vehicle. The dataset is collected in Brussels and Leuven, Belgium. The goal of this dataset is to address the challenge of future trajectory prediction in urban environments with dense pedestrian (bicyclist) -... | Provide a detailed description of the following dataset: Euro-PVI |
Knot128 | Knot128 is a dataset to test knot untangling algorithms, i.e., highly-tangled configurations that can be difficult to smooth out into a canonical knot embedding. Knot128 is comprised of knots from 128 different isotopy classes; for each class, a tangled embedding, and a canonical embedding are provided. | Provide a detailed description of the following dataset: Knot128 |
Trefoil100 | Trefoil100 is a dataset to test knot untangling algorithms, i.e., highly-tangled configurations that can be difficult to smooth out into a canonical knot embedding. Trefoil100 contains 100 tangled embeddings of the [trefoil knot](https://en.wikipedia.org/wiki/Trefoil_knot). | Provide a detailed description of the following dataset: Trefoil100 |
DONeRF: Evaluation Dataset | This is the dataset for the CGF 2021 paper "DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks".
Please note the original creators of the individual 3D scenes themselves (individual license files can be found in the individual .zip archives in the dataset):
Bulldozer by ... | Provide a detailed description of the following dataset: DONeRF: Evaluation Dataset |
CF-mMIMO data - measurement at USC | This repo contains open-source channel measurement data for research and development purposes.
Copyright Thomas Choi, University of Southern California. The data may be used for non-commercial purposes only. Redistribution prohibited. If you use this data for results presented in research papers, please cite as fol... | Provide a detailed description of the following dataset: CF-mMIMO data - measurement at USC |
Bizarre Pose Dataset | Human keypoint dataset of anime/manga-style character illustrations. Extension of the [AnimeDrawingsDataset](https://github.com/dragonmeteor/AnimeDrawingsDataset), with additional features:
* all 17 COCO-compliant human keypoints
* character bounding boxes
* 2000 additional samples (4000 total) from [Danbooru... | Provide a detailed description of the following dataset: Bizarre Pose Dataset |
Anime Drawings Dataset | A dataset for 2D pose estimation of anime/manga images. | Provide a detailed description of the following dataset: Anime Drawings Dataset |
EMOPIA | EMOPIA (pronounced ‘yee-mò-pi-uh’) dataset is a shared multi-modal (audio and MIDI) database focusing on perceived emotion in pop piano music, to facilitate research on various tasks related to music emotion. The dataset contains 1,087 music clips from 387 songs and clip-level emotion labels annotated by four dedicated... | Provide a detailed description of the following dataset: EMOPIA |
ailabs1k7 | https://github.com/YatingMusic/compound-word-transformer | Provide a detailed description of the following dataset: ailabs1k7 |
I2L-140K | Introduced by Singh, Sumeet S.. “Teaching Machines to Code: Neural Markup Generation with Visual Attention.” ArXiv abs/1802.05415 (2018): n. pag.
A prebuilt dataset for OpenAI's task for image-2-latex system. Includes total of ~140k formulas and images splitted into train, validation and test sets. Superset of im2la... | Provide a detailed description of the following dataset: I2L-140K |
Im2latex-90k | Introduced by Singh, Sumeet S.. “Teaching Machines to Code: Neural Markup Generation with Visual Attention.” ArXiv abs/1802.05415 (2018): n. pag.
Sanitized version of im2latex-100K dataset (erroneous samples were removed). A prebuilt dataset for OpenAI's task for image-2-latex system. Includes total of ~90k formulas... | Provide a detailed description of the following dataset: Im2latex-90k |
Interactive Media Experience Click Dataset | The dataset contains summary statistics and engagement metrics captured from users in a live, 'in-the-wild' study of an interactive TV show. | Provide a detailed description of the following dataset: Interactive Media Experience Click Dataset |
UAV-based multispectral vineyards | UAS-based Multispectral othomosaics of vineyards from central Portugal
- 2 distinct vineyards
- Multispectral and HD orthomosaics | Provide a detailed description of the following dataset: UAV-based multispectral vineyards |
Multispectral and HD vineyard orthomosaics from central Portugal | Multispectral and HD vineyard orthomosaics from central Portugal
- Mulstispectral and HD orthomosaics
- 2 distinct vineyards
- ground-truth masks for row detection | Provide a detailed description of the following dataset: Multispectral and HD vineyard orthomosaics from central Portugal |
AGAR | The Annotated Germs for Automated Recognition (AGAR) dataset is an image database of microbial colonies cultured on an agar plate. It contains 18000 photos of five different microorganisms, taken under diverse lighting conditions with two different cameras. All images are classified into countable, uncountable, and emp... | Provide a detailed description of the following dataset: AGAR |
Kinetics 400 | The dataset contains 400 human action classes, with at least 400 video clips for each action. Each clip lasts around 10s and is taken from a different YouTube video. The actions are human focussed and cover a broad range of classes including human-object interactions such as playing instruments, as well as human-human ... | Provide a detailed description of the following dataset: Kinetics 400 |
VideoRemoval4K | We provide video sequences with annotated object masks for video inpainting. The resolution is 3840 x 2160. | Provide a detailed description of the following dataset: VideoRemoval4K |
I-RAVEN | To fix the defacts of RAVEN dataset, we generate an alternative answer set for each RPM question in RAVEN, forming an improved dataset named Impartial-RAVEN (I-RAVEN for short). | Provide a detailed description of the following dataset: I-RAVEN |
MedLEA | The MedLEA package provides morphological and structural features of 471 medicinal plant leaves and 1099 leaf images of 31 species and 29-45 images per species. | Provide a detailed description of the following dataset: MedLEA |
Swedish Leaf Dataset | A dataset of images containing leaves from 15 tree classes.
Image source: [https://www.cvl.isy.liu.se/en/research/datasets/swedish-leaf/](https://www.cvl.isy.liu.se/en/research/datasets/swedish-leaf/) | Provide a detailed description of the following dataset: Swedish Leaf Dataset |
Well-being Dataset | The dataset is a private dataset collected for automatic analysis of psychological distress. It contains self-reported distress labels provided by human volunteers. The dataset consists of 30-min interview recordings of participants. | Provide a detailed description of the following dataset: Well-being Dataset |
XA Bin-Picking | **XA Bin-Picking** is a point-cloud dataset comprising both simulated and real-world scenes with three industrial parts. Synthesized scenes consists of 1000 training samples. The test samples are real scenes and the ground
truth instance labels are made manually. There are 20 to
30 identical types of parts randomly ... | Provide a detailed description of the following dataset: XA Bin-Picking |
German Credit Dataset | Two datasets are provided. the original dataset, in the form provided by Prof. Hofmann, contains categorical/symbolic attributes and is in the file "german.data".
For algorithms that need numerical attributes, Strathclyde University produced the file "german.data-numeric". This file has been edited and several indi... | Provide a detailed description of the following dataset: German Credit Dataset |
Monkey V1 dataset | This dataset is used for neural co-training.
mtl_monkey_dataset: was used for our MTL-Monkey model and involves neural responses that were predicted by a single-task trained model on real monkey V1.
mtl_oracle_dataset: was used for our MTL-Oracle model and involves neural responses that were predicted by our image c... | Provide a detailed description of the following dataset: Monkey V1 dataset |
S&P 500 Intraday Data | ##### Technical Information
Dates range from 2017-09-11 to 2018-02-16 and the time interval is 1 minute.
This is a MultiIndex CSV file, to load in pandas use:
`dataset = pd.read_csv('dataset.csv', index_col=0, header=[0, 1]).sort_index(axis=1)`
Stocks that entered or exited the Index during the dataset time ran... | Provide a detailed description of the following dataset: S&P 500 Intraday Data |
Crello | Crello dataset consists of design templates obtained from online design service, crello.com. The dataset contains designs for various display formats, such as social media posts, banner ads, blog headers, or printed posters, all in a vector format. In dataset construction, design templates and associated resources (e.g... | Provide a detailed description of the following dataset: Crello |
World Mortality Dataset | The **World Mortality Dataset** contains weekly, monthly, or quarterly all-cause mortality data from 103 countries and territories. It contains country-level data on all-cause mortality in 2015–2021 collected from various sources. | Provide a detailed description of the following dataset: World Mortality Dataset |
HiRID | HiRID is a freely accessible critical care dataset containing data relating to almost 34 thousand patient admissions to the Department of Intensive Care Medicine of the Bern University Hospital, Switzerland (ICU), an interdisciplinary 60-bed unit admitting >6,500 patients per year. The ICU offers the full range of mode... | Provide a detailed description of the following dataset: HiRID |
Q-Pain | Q-Pain, a dataset for assessing bias in medical QA in the context of pain management, one of the most challenging forms of clinical decision-making. | Provide a detailed description of the following dataset: Q-Pain |
SROIE | Consists of a dataset with 1000 whole scanned receipt images and annotations for the competition on scanned receipts OCR and key information extraction (SROIE).
Image source: [https://arxiv.org/pdf/2103.10213.pdf](https://arxiv.org/pdf/2103.10213.pdf) | Provide a detailed description of the following dataset: SROIE |
EPHOIE | EPHOIE is a fully-annotated dataset which is the first Chinese benchmark for both text spotting and visual information extraction. EPHOIE consists of 1,494 images of examination paper head with complex layouts and background, including a total of 15,771 Chinese handwritten or printed text instances. | Provide a detailed description of the following dataset: EPHOIE |
28 Ghz wireless channel dataset | Our dataset which consists of multiple indoor and outdoor experiments for up to 30 m gNB-UE link. In each experiment, we fixed the location of the gNB and move the UE with an increment of roughly one degrees. The table above specifies the direction of user movement with respect to gNB-UE link, distance resolution, and ... | Provide a detailed description of the following dataset: 28 Ghz wireless channel dataset |
Mechanical MNIST Crack Path | The Mechanical MNIST Crack Path dataset contains Finite Element simulation results from phase-field models of quasi-static brittle fracture in heterogeneous material domains subjected to prescribed loading and boundary conditions. For all samples, the material domain is a square with a side length of $1$. There is an i... | Provide a detailed description of the following dataset: Mechanical MNIST Crack Path |
Mechanical MNIST | Each dataset in the Mechanical MNIST collection contains the results of 70,000 (60,000 training examples + 10,000 test examples) finite element simulation of a heterogeneous material subject to large deformation. Mechanical MNIST is generated by first converting the MNIST bitmap images (http://www.pymvpa.org/datadb/mni... | Provide a detailed description of the following dataset: Mechanical MNIST |
CIRR | **Composed Image Retrieval** (or, **Image Retreival conditioned on Language Feedback**) is a relatively new retrieval task, where an input query consists of an image and short textual description of how to modify the image.
For humans, the advantage of a bi-modal query is clear: some concepts and attributes are mor... | Provide a detailed description of the following dataset: CIRR |
CWRU Bearing Dataset | Data was collected for normal bearings, single-point drive end and fan end defects. Data was collected at 12,000 samples/second and at 48,000 samples/second for drive end bearing experiments. All fan end bearing data was collected at 12,000 samples/second. | Provide a detailed description of the following dataset: CWRU Bearing Dataset |
KanHope | KanHope is a code mixed hope speech dataset for equality, diversity, and inclusion in Kannada, an under-resourced Dravidian language. The dataset consists of 6,176 user-generated comments in code mixed Kannada crawled from YouTube and manually labelled as bearing hope speech or not-hope speech. | Provide a detailed description of the following dataset: KanHope |
BEOID | The BEOID dataset includes object interactions ranging from preparing a coffee to operating a weight lifting machine and opening a door. The dataset is recorded at six locations: kitchen, workspace, laser printer, corridor with a locked door, cardiac gym, and weight-lifting machine. For the first four locations, sequen... | Provide a detailed description of the following dataset: BEOID |
BIDCD | Bosch Industrial Depth Completion Dataset (BIDCD) is an RGBD dataset for of static table-top scenes with industrial objects.
The data was collected with a RealSense depth-camera mounted on a robotic arm, i.e. from multiple Points-of-View (POV), approximately 60 for each scene.
We generated depth ground truth with a... | Provide a detailed description of the following dataset: BIDCD |
VR traffic traces | The dataset contains traffic traces collected from 3 different VR applications.
Researchers can use this dataset to replicate the behavior of real VR traffic directly in their studies, e.g., their simulations.
Further information can be found in the repository. | Provide a detailed description of the following dataset: VR traffic traces |
The Boston Housing Dataset | This dataset contains information collected by the U.S Census Service concerning housing in the area of Boston Mass. It was obtained from the StatLib archive (http://lib.stat.cmu.edu/datasets/boston), and has been used extensively throughout the literature to benchmark algorithms. However, these comparisons were primar... | Provide a detailed description of the following dataset: The Boston Housing Dataset |
DeliData | DeliData is the first publicly available dataset containing collaborative conversations on solving a cognitive task, consisting of 500 group dialogues and 14k utterances. | Provide a detailed description of the following dataset: DeliData |
IPAC | IPAC (Icelandic Parallel Abstracts Corpus ) is a new Icelandic-English parallel corpus, composed of abstracts from student theses and dissertations. The texts were collected from the Skemman repository which keeps records of all theses, dissertations and final projects from students at Icelandic universities. The corpu... | Provide a detailed description of the following dataset: IPAC |
FakeAVCeleb | FakeAVCeleb is a novel Audio-Video Deepfake dataset that not only contains deepfake videos but respective synthesized cloned audios as well.
Image source: [https://arxiv.org/pdf/2108.05080v1.pdf](https://arxiv.org/pdf/2108.05080v1.pdf) | Provide a detailed description of the following dataset: FakeAVCeleb |
MuSiQue-Ans | MuSiQue-Ans is a new multihop QA dataset with ~25K 2-4 hop questions using seed questions from 5 existing single-hop datasets. | Provide a detailed description of the following dataset: MuSiQue-Ans |
Bambara Language Dataset | A Bambara dialectal dataset dedicated for Sentiment Analysis, available freely for Natural Language Processing research purposes | Provide a detailed description of the following dataset: Bambara Language Dataset |
TrUMAn | Trope Understanding in Movies and Animations (TrUMAn) is a dataset intending to evaluate and develop learning systems beyond visual signals. | Provide a detailed description of the following dataset: TrUMAn |
FoodLogoDet-1500 | FoodLogoDet-1500 is a new large-scale publicly available food logo dataset, which has 1,500 categories, about 100,000 images and about 150,000 manually annotated food logo objects. | Provide a detailed description of the following dataset: FoodLogoDet-1500 |
COMPARE | COMPARE is a taxonomy and a dataset of comparison discussions in peer reviews of research papers in the domain of experimental deep learning. | Provide a detailed description of the following dataset: COMPARE |
CirCor DigiScope | CirCor DigiScope is currently the largest pediatric heart sound dataset. A total of 5282 recordings have been collected from the four main auscultation locations of 1568 patients, in the process 215780 heart sounds have been manually annotated. Each cardiac murmur has been manually annotated by an expert annotator acco... | Provide a detailed description of the following dataset: CirCor DigiScope |
Dense Fog | We introduce an object detection dataset in challenging adverse weather conditions covering 12000 samples in real-world driving scenes and 1500 samples in controlled weather conditions within a fog chamber. The dataset includes different weather conditions like fog, snow, and rain and was acquired by over 10,000 km of ... | Provide a detailed description of the following dataset: Dense Fog |
OpenStreetMap Multi-Sensor Scene Classification | A high-resolution multi-sensor remote sensing scene classification dataset, appropriate for training and evaluating image classification models in the remote sensing domain.
The dataset consists of 8400 overhead scenes, each covered by Airbus Pléiades, Airbus SPOT, and USDA NAIP imagery. The scenes are classified in... | Provide a detailed description of the following dataset: OpenStreetMap Multi-Sensor Scene Classification |
ICFG-PEDES | One large-scale database for Text-to-Image Person Re-identification, i.e., Text-based Person Retrieval.
Compared with existing databases, ICFG-PEDES has three key advantages. First, its textual descriptions are identity-centric and fine-grained. Second, the images included in ICFG-PEDES are more challenging, contai... | Provide a detailed description of the following dataset: ICFG-PEDES |
Two-probe macaque monkey auditory LFP | Dataset accompanying paper Klein, N., Siegle, J.H., Teichert, T., Kass, R.E. (2021) "Cross-population coupling of neural activity based on Gaussian process current source densities".
Auditory local field potential (LFP) recordings and evoked multi-unit activity (MUA) from two 24-electrode linear probes (V-Probes from... | Provide a detailed description of the following dataset: Two-probe macaque monkey auditory LFP |
Neuropixels single-mouse LFP data | Single-mouse Neuropixels recordings (spikes and LFPs) in NWB format. Dataset used in the paper "Cross-population coupling of neural activity based on Gaussian process current source densities" by Klein, N., Siegle, J.H., Teichert, T., and Kass, R.E. (preprint: https://arxiv.org/abs/2104.10070).
The data is part of th... | Provide a detailed description of the following dataset: Neuropixels single-mouse LFP data |
SPACE | **SPACE** is a simulator for physical Interactions and causal learning in 3D environments. The SPACE simulator is used to generate the SPACE dataset, a synthetic video dataset in a 3D environment, to systematically evaluate physics-based models on a range of physical causal reasoning tasks. Inspired by daily object int... | Provide a detailed description of the following dataset: SPACE |
HatemojiCheck | **HatemojiCheck** is a test suite for detecting emoji-based hate of 3,930 test cases covering seven functionalities of emoji-based hate and six identities. | Provide a detailed description of the following dataset: HatemojiCheck |
WikiScenes | The **WikiScenes** dataset consists of paired images and language descriptions capturing world landmarks and cultural sites, with associated 3D models and camera poses. WikiScenes is derived from the massive public catalog of freely-licensed crowdsourced data in the Wikimedia Commons project, which contains a large var... | Provide a detailed description of the following dataset: WikiScenes |
ACS PUMS | **ACS PUMS** stands for American Community Survey (ACS) Public Use Microdata Sample (PUMS) and has been used to construct several tabular datasets for studying fairness in machine learning:
- ACSIncome: to predict whether an individual’s income is above $50,000.
- ACSPublicCoverage: to predict whether an individu... | Provide a detailed description of the following dataset: ACS PUMS |
Computer Vision Values Dataset | This is a corpus of about 500 computer vision datasets, from which the authors sampled 114 dataset publications across different vision tasks and coded for themes through both structured and qualitative content analysis. This work most closely pairs with the following research question: How do dataset developers in CV ... | Provide a detailed description of the following dataset: Computer Vision Values Dataset |
PADv2 | With complex scenes and rich annotations, the **PADv2** dataset can be used as a test bed to benchmark affordance detection methods and may also facilitate downstream vision tasks, such as scene understanding, action recognition, and robot manipulation.
It contains 30k diverse images covering 39 affordance categori... | Provide a detailed description of the following dataset: PADv2 |
CDR | The BioCreative V CDR task corpus is manually annotated for chemicals, diseases and chemical-induced disease (CID) relations. It contains the titles and abstracts of 1500 PubMed articles and is split into equally sized train, validation and test sets. It is common to first tune a model on the validation set and then tr... | Provide a detailed description of the following dataset: CDR |
Screen2Words | **Screen2Words** is a large-scale screen summarization dataset annotated by human workers. The dataset contains more than 112k language summarization across 22k unique UI screens. This dataset can be used for Mobile User Interface Summarization, which is a task where a model generates succinct language descriptions of ... | Provide a detailed description of the following dataset: Screen2Words |
Stereo Waterdrop | **Steredo Waterdrop** is a real-world dataset for research on stereo waterdrop removal. The dataset contains 837 stereo image pairs captured from 129 indoor and outdoor scenes with various waterdrops, disparities, and illumination conditions. We use the ZED 2 stereo camera for data collection. | Provide a detailed description of the following dataset: Stereo Waterdrop |
KTH-TIPS2 | The KTH-TIPS (Textures under varying Illumination, Pose and Scale) image database was created to extend the CUReT database in two directions, by providing variations in scale as well as pose and illumination, and by imaging other samples of a subset of its materials in different settings.
The KTH-TIPS2 databases too... | Provide a detailed description of the following dataset: KTH-TIPS2 |
VitaminC | The VitaminC dataset contains more than 450,000 claim-evidence pairs for fact verification and factual consistent generation. Based on over 100,000 revisions to popular Wikipedia pages, and additional "synthetic" revisions. | Provide a detailed description of the following dataset: VitaminC |
SWSR | The Sina Weibo Sexism Review (SWSR) dataset is a dataset to research online sexism in Chinese. The SWSR dataset provides labels at different levels of granularity including (i) sexism or non-sexism, (ii) sexism category and (iii) target type, which can be exploited, among others, for building computational methods to i... | Provide a detailed description of the following dataset: SWSR |
iGibson 2.0 | **iGibson 2.0** is an open-source simulation environment that supports the simulation of a more diverse set of household tasks through three key innovations. First, iGibson 2.0 supports object states, including temperature, wetness level, cleanliness level, and toggled and sliced states, necessary to cover a wider rang... | Provide a detailed description of the following dataset: iGibson 2.0 |
gENder-IT | **gENder-IT** is an English-Italian challenge set focusing on the resolution of natural gender phenomena by providing word-level gender tags on the English source side and multiple gender alternative translations, where needed, on the Italian target side. | Provide a detailed description of the following dataset: gENder-IT |
WebFG-496 | **WebFG-496** is a dataset for fine-grained recognition that contains 200 subcategories of the "Bird" (Web-bird), 100 subcategories of the Aircraft" (Web-aircraft), and 196 subcategories of the "Car" (Web-car). It has a total number of 53339 web training images. | Provide a detailed description of the following dataset: WebFG-496 |
WDC-Dialogue | **WDC-Dialogue** is a dataset built from the Chinese social media to train EVA. Specifically, conversations from various sources are gathered and a rigorous data cleaning pipeline is designed to enforce the quality of WDC-Dialogue.
The dataset mainly focuses on three categories of textual interaction data, i.e., re... | Provide a detailed description of the following dataset: WDC-Dialogue |
InferWiki | **InferWiki** is a Knowledge Graph Completion (KGC) dataset that improves upon existing benchmarks in inferential ability, assumptions, and patterns. First, each testing sample is predictable with supportive data in the training set. Second, InferWiki initiates the evaluation following the open-world assumption and imp... | Provide a detailed description of the following dataset: InferWiki |
Marine Debris Turntable | **Marine Debris Turntable** is a dataset for sonar perception. | Provide a detailed description of the following dataset: Marine Debris Turntable |
RareDis corpus | The **RareDis** corpus contains more than 5,000 rare diseases and almost 6,000 clinical manifestations are annotated. Moreover, the Inter Annotator Agreement evaluation shows a relatively high agreement (F1-measure equal to 83.5% under exact match criteria for the entities and equal to 81.3% for the relations). Based o... | Provide a detailed description of the following dataset: RareDis corpus |
WikiChurches | WikiChurches is a dataset for architectural style classification, consisting of 9,485 images of church buildings. Both images and style labels were sourced from Wikipedia. The dataset can serve as a benchmark for various research fields, as it combines numerous real-world challenges: fine-grained distinctions between c... | Provide a detailed description of the following dataset: WikiChurches |
HVIS Dataset | We propose a new benchmark called Human Video Instance Segmentation (HVIS), which focuses on complex real-world scenarios with sufficient human instance masks and identities. Our dataset contains 805 videos with 1447 detailedly annotated human instances. It also includes various overlapping scenes, which integrates int... | Provide a detailed description of the following dataset: HVIS Dataset |
Raw data for NMR-POISE | The NMR-POISE paper can be found at: Anal. Chem. 2021, 93 (31), 10735–10739 (DOI: 10.1021/acs.analchem.1c01767).
The majority of one- and multi-dimensional NMR experiments, indispensable to chemists in many areas of research, are often run with generic or "compromise" parameter values that are not optimised. This is p... | Provide a detailed description of the following dataset: Raw data for NMR-POISE |
MobIE | **MobIE** is a German-language dataset which is human-annotated with 20 coarse- and fine-grained entity types and entity linking information for geographically linkable entities. The dataset consists of 3,232 social media texts and traffic reports with 91K tokens, and contains 20.5K annotated entities, 13.1K of which a... | Provide a detailed description of the following dataset: MobIE |
Who’s Waldo | **Who's Waldo** is a dataset of 270K image–caption pairs, depicting interactions of people, that is automatically mined from Wikimedia Commons. It is a benchmark dataset for person-centric visual grounding, the problem of linking between people named in a caption and people pictured in an image. | Provide a detailed description of the following dataset: Who’s Waldo |
TUM-VIE | **TUM-VIE** is an event camera dataset for developing 3D perception and navigation algorithms. It contains handheld and head-mounted sequences in indoor and outdoor environments with rapid motion during sports and high dynamic range. TUM-VIE includes challenging sequences where state-of-the art VIO fails or results in ... | Provide a detailed description of the following dataset: TUM-VIE |
AutoChart | **AutoChart** is a dataset for chart-to-text generation, a task that consists on generating analytical descriptions of visual plots. | Provide a detailed description of the following dataset: AutoChart |
DAHLIA | DAHLIA dataset [1] is devoted to human activity recognition, which is a major issue for adapting smart-home services such as user assistance.
DAHLIA has been realized in Mobile Mii Platform by CEA LIST, and has been partly supported by ITEA 3 Emospaces Project (https://itea3.org/project/emospaces.html)
Videos were ... | Provide a detailed description of the following dataset: DAHLIA |
PIDray | **PIDray** is a large-scale dataset which covers various cases in real-world scenarios for prohibited item detection, especially for deliberately hidden items. The dataset contains 12 categories of prohibited items in 47, 677 X-ray images with high-quality annotated segmentation masks and bounding boxes. | Provide a detailed description of the following dataset: PIDray |
CallOptionBSM | This dataset collects 88,077 numerical samples of call options on Shanghai Stock Exchange from 2015-02 to 2020-07. After the pre-processing, 83,427 samples remain in the data set. This data set records only original quotation of call options on Shanghai
Stock Exchange, and does not include derivative indicators publi... | Provide a detailed description of the following dataset: CallOptionBSM |
Dataset to "Easing the Conscience with OPC UA: An Internet-Wide Study on Insecure Deployments" | This is the dataset to "Easing the Conscience with OPC UA: An Internet-Wide Study on Insecure Deployments" [In ACM Internet Measurement Conference (IMC ’20)]. It contains our weekly scanning results between 2020-02-09 and 2020-08-31 complied using our zgrab2 extensions, i.e, it contains an Internet-wide view on OPC UA ... | Provide a detailed description of the following dataset: Dataset to "Easing the Conscience with OPC UA: An Internet-Wide Study on Insecure Deployments" |
MHMD | **MHMD** (Modern Historical Movies Dataset) is a dataset for old image colorization, built from historical movies. It consists of 1,353,166 images and 42 labels of eras, nationalities, and garment types for automatic colorization from 147 historical movies or TV series made in modern time. | Provide a detailed description of the following dataset: MHMD |
DensePASS | DensePASS - a novel densely annotated dataset for panoramic segmentation under cross-domain conditions, specifically built to study the Pinhole-to-Panoramic transfer and accompanied with pinhole camera training examples obtained from Cityscapes. DensePASS covers both, labelled- and unlabelled 360-degree images, with th... | Provide a detailed description of the following dataset: DensePASS |
STN PLAD | STN PLAD is a high-resolution and real-world image dataset of multiple high-voltage power line components. It has 2,409 annotated objects divided into five classes: transmission tower, insulator, spacer, tower plate, and Stockbridge damper, which vary in size (resolution), orientation, illumination, angulation, and bac... | Provide a detailed description of the following dataset: STN PLAD |
DocBank-TB | This dataset consisting 500 set of caption, table and coresponding paper page, processed from [DocBank](docbank). | Provide a detailed description of the following dataset: DocBank-TB |
Twitter Sentiment Analysis | This is an **entity-level** Twitter Sentiment Analysis dataset. For each message, the task is to judge the sentiment of the entire sentence towards a given entity. For example, A outperforms B is **positive** for entity **A** but **negative** for entity **B**. The dataset contains ~70K labeled training messages and 1K ... | Provide a detailed description of the following dataset: Twitter Sentiment Analysis |
NASA C-MAPSS | Engine degradation simulation was carried out using C-MAPSS. Four different were sets simulated under different combinations of operational conditions and fault modes. Records several sensor channels to characterize fault evolution. The data set was provided by the Prognostics CoE at NASA Ames. | Provide a detailed description of the following dataset: NASA C-MAPSS |
HiFiMask | **HiFiMask** is a large-scale High-Fidelity Mask dataset, namely CASIA-SURF HiFiMask (briefly HiFiMask). It contains a total amount of 54,600 videos are recorded from 75 subjects with 225 realistic masks by 7 new kinds of sensors. | Provide a detailed description of the following dataset: HiFiMask |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.