dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
SynPick | SynPick is a synthetic dataset for dynamic scene understanding in bin-picking scenarios. In contrast to existing datasets, this dataset is both situated in a realistic industrial application domain -- inspired by the well-known Amazon Robotics Challenge (ARC) -- and features dynamic scenes with authentic picking action... | Provide a detailed description of the following dataset: SynPick |
Cylinder in Crossflow | **Cylinder in Crossflow** is a synthetic dataset that involves unsteady laminar flow past a cylinder that generates vortex
shedding pattern known as a von Kármán vortex street. The governing equations for
this system are the incompressible Navier-Stokes equations. The cylinder
has a diameter of 1 and the free stream... | Provide a detailed description of the following dataset: Cylinder in Crossflow |
Color-connectivity | Synthetic graph classification datasets with the task of recognizing the connectivity of same-colored nodes in 4 graphs of varying topology.
* The four Color-connectivity datasets were created by taking a graph and randomly coloring half of its nodes one color, e.g., red, and the other nodes blue, such that the red no... | Provide a detailed description of the following dataset: Color-connectivity |
MovieGraphBenchmark | The dataset contains entities from IMDB, TheMovieDB and TheTVDB with goldstandard matches between the sources. Due to the licensing of IMDB we provide a script to build the IMDB part of the dataset yourself.
The dataset contains a variety of entity types to match: persons, movies, series, episodes and companies. | Provide a detailed description of the following dataset: MovieGraphBenchmark |
OpenEA Benchmark | 1.0 Version of OpenEA benchmark datasets. Please use the updated 2.0 version, that has been subsequently released.
Introduced by "A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs by Sun et. al, VLDB 2020"
Contains entities from DBpedia, YAGO and Wikidata. | Provide a detailed description of the following dataset: OpenEA Benchmark |
FewCLUE | Chinese Few-shot Learning Evaluation Benchmark (FewCLUE) is a comprehensive small sample evaluation benchmark in Chinese. It includes nine tasks, ranging from single-sentence and sentence-pair classification tasks to machine reading comprehension tasks. | Provide a detailed description of the following dataset: FewCLUE |
ZS-F-VQA | The ZS-F-VQA dataset is a new split of the F-VQA dataset for zero-shot problem.
Firstly we obtain the original train/test split of F-VQA dataset and combine them together to filter out the triples whose answers appear in top-500 according to its occurrence frequency.
Next, we randomly divide this set of answers into... | Provide a detailed description of the following dataset: ZS-F-VQA |
IMC PhotoTourism | Dataset provided by the Image Matching Workshop
https://www.cs.ubc.ca/research/image-matching-challenge/current/ | Provide a detailed description of the following dataset: IMC PhotoTourism |
ValidData | This dataset contains a total of 11 variables. These are:
1. vectorprice: The value in local currency of the product
2. Exchange: The official exchange rate between USD and the local currency when data was extracted.
3. Usprice: The price of the product in USD
4. vectorsold: The number of items sold by the vendor when ... | Provide a detailed description of the following dataset: ValidData |
AIM-500 | AIM-500 is the first natural image matting test set, contains 500 high-resolution real-world natural images from three types of images (salient opaque foregrounds, salient transparent/meticulous foregrounds, non-salient foregrounds), and multiple categories. The amount of each category is shown in the following table.
... | Provide a detailed description of the following dataset: AIM-500 |
BrnoCompSpeed | The dataset contains 21 full-HD videos, each around 1 hr long, captured at six different locations. Vehicles in the videos (20 865 instances in total) are annotated with the precise speed measurements from optical gates using LiDAR and verified with several reference GPS tracks. The dataset is available for download an... | Provide a detailed description of the following dataset: BrnoCompSpeed |
VESUS | The Varied Emotion in Syntactically Uniform Speech (VESUS) repository is a lexically controlled database collected by the NSA lab. Here, actors read a semantically neutral script of words, phrases, and sentences with different emotional inflections. VESUS contains 252 distinct phrases, each read by 10 actors in 5 emoti... | Provide a detailed description of the following dataset: VESUS |
Wasserstein Distances, Geodesics and Barycenters of Merge Trees | This repository contains all the ensemble datasets (along with their meta-data) used in the manuscript "Wasserstein Distances, Geodesics and Barycenters of Merge Trees". | Provide a detailed description of the following dataset: Wasserstein Distances, Geodesics and Barycenters of Merge Trees |
Shifts | The **Shifts Dataset** is a dataset for evaluation of uncertainty estimates and robustness to distributional shift. The dataset, which has been collected from industrial sources and services, is composed of three tasks, with each corresponding to a particular data modality: tabular weather prediction, machine translati... | Provide a detailed description of the following dataset: Shifts |
PASTIS | PASTIS is a benchmark dataset for panoptic and semantic segmentation of agricultural parcels from satellite image time series. It is composed of 2433 one square kilometer-patches in the French metropolitan territory for which sequences of satellite observations are assembled into a four-dimensional spatio-temporal tens... | Provide a detailed description of the following dataset: PASTIS |
Hockey Fight Detection Dataset | Whereas the action recognition community has focused mostly on detecting simple actions like clapping, walking or jogging, the detection of fights or in general aggressive behaviors has been comparatively less studied. Such capability may be extremely useful in some video surveillance scenarios like in prisons, psychia... | Provide a detailed description of the following dataset: Hockey Fight Detection Dataset |
Giantsteps | Giantsteps is a dataset that includes songs in major and minor scales for all pitch classes, i.e., a 24-way classification task. | Provide a detailed description of the following dataset: Giantsteps |
Emomusic | 1000 songs has been selected from Free Music Archive (FMA). The excerpts which were annotated are available in the same package song ids 1 to 1000. Some redundancies were identified, which reduced the dataset down to 744 songs. The dataset is split between the development set (619 songs) and the evaluation set (125 son... | Provide a detailed description of the following dataset: Emomusic |
MTASS | MTASS is an open-source dataset in which mixtures contain three types of audio signals. | Provide a detailed description of the following dataset: MTASS |
BNLP-Resources | Datasets for Bangla Natural Language Processing tasks. | Provide a detailed description of the following dataset: BNLP-Resources |
Hindi MSR-VTT | This dataset is the Hindi version of standard English MSR-VTT dataset. | Provide a detailed description of the following dataset: Hindi MSR-VTT |
CADNET | We introduce the CADNET dataset, which is an annotated collection of 3,317 3D Engineering models over 43 categories. Owing to the availability of large annotated datasets and also enough computational power in the form of GPUs, many deep learning-based solutions for object classification have been proposed of late, esp... | Provide a detailed description of the following dataset: CADNET |
BinKit | BinKit is a binary code similarity analysis (BCSA) benchmark. BinKit provides scripts for building a cross-compiling environment, as well as the compiled dataset. The original dataset includes 1,352 distinct combinations of compiler options of 8 architectures, 5 optimization levels, and 13 compilers.
For more detail... | Provide a detailed description of the following dataset: BinKit |
TFix's Code Patches Data | The dataset contains more than 100k code patch pairs extracted from open source projects on GitHub. Each pair comes with the erroneous and the fixed version of the corresponding code snippet. Instead of the whole file, the code snippets are extracted to focus on the problematic region (error line + other lines around i... | Provide a detailed description of the following dataset: TFix's Code Patches Data |
CVEfixes | CVEfixes is a comprehensive vulnerability dataset that is automatically collected and curated from Common Vulnerabilities and Exposures (CVE) records in the public [U.S. National Vulnerability Database (NVD)](https://nvd.nist.gov/). The goal is to support data-driven security research based on source code and source co... | Provide a detailed description of the following dataset: CVEfixes |
MultiBench | MultiBench, a systematic and unified large-scale benchmark for multimodal learning spanning 15 datasets, 10 modalities, 20 prediction tasks, and 6 research areas. MultiBench provides an automated end-to-end machine learning pipeline that simplifies and standardizes data loading, experimental setup, and model evaluation... | Provide a detailed description of the following dataset: MultiBench |
BEHAVIOR | BEHAVIOR is a benchmark with the 100 household activities that represent a new challenge for embodied AI solutions.
BEHAVIOR is a challenge in simulation where embodied agents make continuous full-body control decisions based on sensor information. Agents need to navigate and manipulate the simulated environment wit... | Provide a detailed description of the following dataset: BEHAVIOR |
OG RGB+D | OG RGB+D is a new gait recognition database called OG RGB+D database, which breaks through the limitation of other gait databases and includes multimodal gait data of various occlusions (self-occlusion, active occlusion, and passive occlusion) by a multiple synchronous Azure Kinect DK sensors data acquisition system (m... | Provide a detailed description of the following dataset: OG RGB+D |
Wikidata-14M | **Wikidata-14M** is a recommender system dataset for recommending items to Wikidata editors. It consists of 220,000 editors responsible for 14 million interactions with 4 million items. | Provide a detailed description of the following dataset: Wikidata-14M |
CARLE | **CARLE** is a life-like cellular automata simulator and reinforcement learning environment. CARLE is flexible, capable of simulating any of the 262,144 different rules defining Life-like cellular automaton universes. CARLE is also fast and can simulate automata universes at a rate of tens of thousands of steps per sec... | Provide a detailed description of the following dataset: CARLE |
Forms Dataset | The **Forms Dataset** is a dataset for document structure extraction comprising of 5K forms. | Provide a detailed description of the following dataset: Forms Dataset |
Undecided Voters in US Presidential Elections | This data contains the election polls for the 2004, 2008, 2012, and 2016 US presidential election by state including data on undecided voter proportions.
See https://github.com/bonStats/undecided-voters-us-pres-elections#readme for data description. | Provide a detailed description of the following dataset: Undecided Voters in US Presidential Elections |
UHCSDB | DeCost, Hecht, Francis, Webler, Picard, and Holm.
UHCSDB (Ultrahigh Carbon Steel micrograph DataBase): tools for exploring large heterogeneous microstructure datasets.
accepted for publication in IMMI 2017 doi: 10.1007/s40192-017-0097-0
ABSTRACT:
We present a new microstructure dataset consisting of ultrahigh carbon ... | Provide a detailed description of the following dataset: UHCSDB |
AADB2021 | We present a data set from a first-principles study of amino-methylated and acetylated (capped) dipeptides of the 20 proteinogenic amino acids – including alternative possible side chain protonation states and their interactions with selected divalent cations (Ca$^{2+}$, Mg$^{2+}$ and Ba$^{2+}$. The data covers 21,909 ... | Provide a detailed description of the following dataset: AADB2021 |
AADB2021Ontology | This onotology is populated with the data from AADB2021 (https://dx.doi.org/10.17172/NOMAD/2021.02.10-1). Details can be found in the related article on arXiv.org: https://arxiv.org/abs/2107.08855 | Provide a detailed description of the following dataset: AADB2021Ontology |
Global Wheat Head 2021 | Global WHEAT Dataset 2021 is the extentions of the Global Wheat Dataset 2020. It is the first large-scale dataset for wheat head detection from field optical images. It included a very large range of cultivars from differents continents. Wheat is a staple crop grown all over the world and consequently interest in wheat... | Provide a detailed description of the following dataset: Global Wheat Head 2021 |
WikiGraphs | **WikiGraphs** is a dataset of Wikipedia articles each paired with a knowledge graph, to facilitate the research in conditional text generation, graph generation and graph representation learning. Existing graph-text paired datasets typically contain small graphs and short text (1 or few sentences), thus limiting the c... | Provide a detailed description of the following dataset: WikiGraphs |
GR712RC LEON3 Power Model Data | # Dataset Files
The official dataset files are hosted at [https://dx.doi.org/10.21227/1y7r-am78](https://dx.doi.org/10.21227/1y7r-am78).
# Generating the models from the LEON3 sample data
The data for this paper is generated using a custom open-source methodology called **__REPPS__**. In order to replicate th... | Provide a detailed description of the following dataset: GR712RC LEON3 Power Model Data |
S2Looking | **S2Looking** is a building change detection dataset that contains large-scale side-looking satellite images captured at varying off-nadir angles. The S2Looking dataset consists of 5,000 registered bitemporal image pairs (size of 1024*1024, 0.5 ~ 0.8 m/pixel) of rural areas throughout the world and more than 65,920 ann... | Provide a detailed description of the following dataset: S2Looking |
QVHighlights | The Query-based Video Highlights (**QVHighlights**) dataset is a dataset for detecting customized moments and highlights from videos given natural language (NL). It consists of over 10,000 YouTube videos, covering a wide range of topics, from everyday activities and travel in lifestyle vlog videos to social and politic... | Provide a detailed description of the following dataset: QVHighlights |
GenWiki | GenWiki is a large-scale dataset for knowledge graph-to-text (G2T) and text-to-knowledge graph (T2G) conversion. It is introduced in the paper ["GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation"](https://www.aclweb.org/anthology/2020.coling-main.217.pdf) by Zhi... | Provide a detailed description of the following dataset: GenWiki |
Iranis | The **Iranis Dataset** is a Large-scale dataset of Farsi license plate characters containing a large-scale dataset with more than 83,000 images of Farsi numbers and letters collected from real-world license plate images captured by various cameras.
Image source: [https://github.com/alitourani/Iranis-dataset](https:/... | Provide a detailed description of the following dataset: Iranis |
Geometry3K | A new large-scale geometry problem-solving dataset
- 3,002 multi-choice geometry problems
- dense annotations in formal language for the diagrams and text
- 27,213 annotated diagram logic forms (literals)
- 6,293 annotated text logic forms (literals) | Provide a detailed description of the following dataset: Geometry3K |
TLFM dataset | TLFM dataset structured in sequences of at least nine timesteps. The dataset includes 9696 images of both brightfield and green fluorescent protein channels at a resolution of 256 × 256. Dataset for multi-domain (BF and GFP) microscopy image sequence generation. | Provide a detailed description of the following dataset: TLFM dataset |
RailSem19 | RailSem19 offers 8500 unique images taken from a the ego-perspective of a rail vehicle (trains and trams). Extensive semantic annotations are provided, both geometry-based (rail-relevant polygons, all rails as polylines) and dense label maps with many Cityscapes-compatible road labels. Many frames show areas of interse... | Provide a detailed description of the following dataset: RailSem19 |
MSLR WEB30K | The datasets are machine learning data, in which queries and urls are represented by IDs. The datasets consist of feature vectors extracted from query-url pairs along with relevance judgment labels:
(1) The relevance judgments are obtained from a retired labeling set of a commercial web search engine (Microsoft Bing... | Provide a detailed description of the following dataset: MSLR WEB30K |
Istella LETOR | The Istella LETOR full dataset is composed of 33,018 queries and 220 features representing each query-document pair. It consists of 10,454,629 examples labeled with relevance judgments ranging from 0 (irrelevant) to 4 (perfectly relevant). The average number of per-query examples is 316. It has been splitted in train a... | Provide a detailed description of the following dataset: Istella LETOR |
DQN Replay Dataset | The DQN Replay Dataset was collected as follows:
We first train a [DQN][nature_dqn] agent, on all 60 [Atari 2600 games][ale]
with [sticky actions][stochastic_ale] enabled for 200 million frames (standard protocol) and save all of the experience tuples
of *(observation, action, reward, next observation)* (approximate... | Provide a detailed description of the following dataset: DQN Replay Dataset |
JS Fake Chorales | A MIDI dataset of 500 4-part chorales generated by the KS_Chorus algorithm, annotated with results from hundreds of listening test participants, with 500 further unannotated chorales. | Provide a detailed description of the following dataset: JS Fake Chorales |
QC-Science | QC-Science contains 47832 question-answer pairs belonging to the science domain tagged with labels of the form subject - chapter - topic. The dataset was collected with the help of a leading e-learning platform. The dataset consists of 40895 samples for training, 2153 samples for validation and 4784 samples for testing... | Provide a detailed description of the following dataset: QC-Science |
OntoNotes 4.0 | OntoNotes Release 4.0 contains the content of earlier releases -- OntoNotes Release 1.0 LDC2007T21, OntoNotes Release 2.0 LDC2008T04 and OntoNotes Release 3.0 LDC2009T24 -- and adds newswire, broadcast news, broadcast conversation and web data in English and Chinese and newswire data in Arabic. This cumulative publicat... | Provide a detailed description of the following dataset: OntoNotes 4.0 |
Multinational Structured Address Dataset | The Multinational Structured Address Dataset is a collection of addresses of 61 different countries. The addresses can either be "complete" (all the usual address components) or "incomplete" (missing some usual address components). | Provide a detailed description of the following dataset: Multinational Structured Address Dataset |
MyFood Dataset | MyFood Dataset is an image database for segmenting images of Brazilian foods. Composed of 9 classes: rice, beans, boiled egg, fried egg, pasta, salad, roasted meat, apple and chicken breast. With an average of 125 images per class and a total of 1250 images, with a ratio of 60-20-20 for the training, validation and tes... | Provide a detailed description of the following dataset: MyFood Dataset |
MD17 | Energies and forces for molecular dynamics trajectories of eight organic molecules. Level of theory DFT: PBE+vdW-TS. | Provide a detailed description of the following dataset: MD17 |
Spectrum Challange 2 Dataset | The dataset is approved for public release, distribution unlimited.
The dataset is contained in two files - scrimmage4_link_dataset.pickle and scrimmage5_link_dataset.pickle
The pickle files are stored as list of tuples, each list corresponding to a single link, and containing two elements. Each element a length ... | Provide a detailed description of the following dataset: Spectrum Challange 2 Dataset |
AP | This is a paraphrasing dataset created using the adversarial paradigm. A task was designed called the Adversarial Paraphrasing Task (APT) whose objective was to write sentences that mean the same as a given sentence but have as different syntactical and lexical properties as possible.
As shown in the paper, this dat... | Provide a detailed description of the following dataset: AP |
Vehicle-Rear | Vehicle-Rear is a novel dataset for vehicle identification that contains more than three hours of high-resolution videos, with accurate information about the make, model, color and year of nearly 3,000 vehicles, in addition to the position and identification of their license plates. | Provide a detailed description of the following dataset: Vehicle-Rear |
TIP 2018 | The first large demoire dataset. The dataset contains 135,000 image pairs, each containing an image contaminated with moire patterns and its corresponding uncontaminated reference image. | Provide a detailed description of the following dataset: TIP 2018 |
Action-Camera Parking | The Action-Camera Parking Dataset contains 293 images captured at a roughly 10-meter height using a GoPro Hero 6 camera. It can be used for training machine learning models that perform image-based parking space occupancy classification.
Image credit: [https://github.com/martin-marek/parking-space-occupancy](https:/... | Provide a detailed description of the following dataset: Action-Camera Parking |
ICDAR 2021 Competition on Historical Map Segmentation | - **Revision:** v1.0.0-full-20210527a
- **DOI:** 10.5281/zenodo.4817662
- **Authors:** J. Chazalon, E. Carlinet, Y. Chen, J. Perret, C. Mallet, B. Duménieu and T. Géraud
- **Official competition website:** https://icdar21-mapseg.github.io/
This is the dataset of the ICDAR 2021 Competition on Historical Map Segmen... | Provide a detailed description of the following dataset: ICDAR 2021 Competition on Historical Map Segmentation |
MIT-BIH Arrhythmia Database | The MIT-BIH Arrhythmia Database contains 48 half-hour excerpts of two-channel ambulatory ECG recordings, obtained from 47 subjects studied by the BIH Arrhythmia Laboratory between 1975 and 1979. Twenty-three recordings were chosen at random from a set of 4000 24-hour ambulatory ECG recordings collected from a mixed pop... | Provide a detailed description of the following dataset: MIT-BIH Arrhythmia Database |
C# EditCompletion | We scraped the 53 most popular C# repositories from GitHub and extracted all commits since the beginning of the project’s history. From each commit, we extracted edits in C# files along with the edits in their surrounding context. | Provide a detailed description of the following dataset: C# EditCompletion |
UDD | UDD is an underwater open-sea farm object detection dataset. UDD consists of 3 categories (seacucumber, seaurchin, and scallop) with 2,227 images. It's the first dataset collected in a real open-sea farm for underwater robot picking. | Provide a detailed description of the following dataset: UDD |
News Articles Dataset with Summary | This dataset is the news articles scraped from New York Times, CNN, Business Insider and Breitbart. The original dataset published in Kaggle did not provide any human summaries, it only offered the title of the article, while this could be used as the summary, it is not ideal as the headline title was too short. We gen... | Provide a detailed description of the following dataset: News Articles Dataset with Summary |
Perla Dataset | This dataset contains the results of a depression screening experiment using two instruments: The PHQ-9 depression screening questionnaire and the chabot Perla.
The dataset was used to compare the results of these two methods to assess the presence of depression in the population. The sample consist of Spanish speaki... | Provide a detailed description of the following dataset: Perla Dataset |
MSU Video Super Resolution Benchmark: Detail Restoration | This is a dataset for a video super-resolution task. The dataset contains the most complex content for the restoration task: faces, text, QR-codes, car numbers, unpatterned textures, small details. Videos include different types of motion and different types of degradation: bicubic interpolation (BI) and Gaussian blurr... | Provide a detailed description of the following dataset: MSU Video Super Resolution Benchmark: Detail Restoration |
SaRNet | **SaRNet** is a single class dataset consisting of tiles of satellite imagery labeled with potential 'targets'. Labelers were instructed to draw boxes around anything they suspect may a paraglider wing, missing in a remote area of Nevada. Volunteers were shown examples of similar objects already in the environment for ... | Provide a detailed description of the following dataset: SaRNet |
H3DS | **H3DS** a high-resolution 3D full head textured scans and 360º images dataset collected with a structured light scanner, consisting of 23 3D full-head scans containing images, masks and camera poses. The 3D geometry has been captured using a structured light scanner, which leads to precise ground truth geometries. | Provide a detailed description of the following dataset: H3DS |
Navigation Turing Test | Replay data from human players and AI agents navigating in a 3D game environment.
Introduced in "Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation" [ICML 2021] to learn how to evaluate humanlike behavior in agents. | Provide a detailed description of the following dataset: Navigation Turing Test |
GIGO revisited: ML publications' approaches to training data | A random sample of 200 machine learning publications, systematically analyzed by a team of labelers, who asked up to 15 questions about how the publication discusses its training data. More documentation in data/README.md. | Provide a detailed description of the following dataset: GIGO revisited: ML publications' approaches to training data |
RaidaR | RaidaR is a rich annotated image dataset of rainy street scenes. RaidaR consists of 58,542 real rainy images containing several rain-induced artifacts: fog, droplets, road reflections, etc. 5,000/3,658 images were carefully semantic/instance segmentated, respectively. | Provide a detailed description of the following dataset: RaidaR |
COVIDEmo | A dataset of tweets that reference the COVID-19 pandemic with emotion labels. | Provide a detailed description of the following dataset: COVIDEmo |
CLIP | We created a dataset of clinical action items annotated over MIMIC-III. This dataset, which we call CLIP, is annotated by physicians and covers 718 discharge summaries, representing 107,494 sentences. Annotations were collected as character-level spans to discharge summaries after applying surrogate generation to fill ... | Provide a detailed description of the following dataset: CLIP |
Smoking Data of hospitalized Covid-19 patients | Data related to 1040 patients with Covid-19 admitted to hospitals in Iran have been collected. These patients were randomly selected from patients admitted to hospitals in Rasht, Tehran, and Bojnord. Of these 1040 patients, 375 of them are female, and 665 of them are male. Also, the age of these people is between 14 an... | Provide a detailed description of the following dataset: Smoking Data of hospitalized Covid-19 patients |
A robot dataset of successful and failed placement executions | The dataset contains the following data from successful and failed executions of the Toyota HSR robot placing a book on a shelf.
* RGB images from the robot's head camera
* Depth images from the robot's head camera
* Rendered images of the robot's 3D model from the point of view of the robot's head camera
* Force... | Provide a detailed description of the following dataset: A robot dataset of successful and failed placement executions |
Reasonable Crowd | The **Reasonable Crowd** dataset is a dataset to evaluate autonomous driving in a limited operating domain. The data consists of 92 traffic scenarios, with multiple ways of traversing each scenario. Multiple annotators expressed their preference between pairs of scenario traversals. | Provide a detailed description of the following dataset: Reasonable Crowd |
BH-rPPG | BH-rPPG dataset (stands for Beihang University Remote PhotoPlethysmoGraphy) is a dataset consists of 3 lighting conditions with uneven distribution which collected in indoor environment. In order to evaluate the performance of deep learning based rPPG under different lighting conditions, we recruited twelve healthy sub... | Provide a detailed description of the following dataset: BH-rPPG |
CalCROP21 | **CalCROP21** is a georeferenced multi-spectral dataset of satellite Imagery and crop labels. It is a semantic segmentation benchmark dataset, for the diverse crops in the Central Valley region of California at 10m spatial resolution using a Google Earth Engine based robust image processing pipeline. | Provide a detailed description of the following dataset: CalCROP21 |
IRLCov19 | **IRLCov19** is a multilingual Twitter dataset related to Covid-19 collected in the period between February 2020 to July 2020 specifically for regional languages in India. It contains more than 13 million tweets. | Provide a detailed description of the following dataset: IRLCov19 |
SNARE | **SNARE**, short for ShapeNet Annotated with Referring Expressions, is a benchmark requires a model to choose which of two objects is being referenced by a natural language description. | Provide a detailed description of the following dataset: SNARE |
TinyVIRAT-v2 | **TinyVIRAT-v2** is a benchmark dataset for recognizing real-world low-resolution activities present in videos. The dataset is comprised of naturally occuring low-resolution actions. This is an extension of the TinyVIRAT dataset and consists of actions with multiple labels. The videos are extracted from security videos... | Provide a detailed description of the following dataset: TinyVIRAT-v2 |
OLR 2021 | The **OLR 2021** dataset contains the data for the Oriental Language Recognition (OLR) 2021 Challenge, which intends to improve the performance of language recognition systems and speech recognition systems within multilingual scenarios. | Provide a detailed description of the following dataset: OLR 2021 |
Facebook Page-Page | This webgraph is a page-page graph of verified Facebook sites. Nodes represent official Facebook pages while the links are mutual likes between sites. Node features are extracted from the site descriptions that the page owners created to summarize the purpose of the site. This graph was collected through the Facebook G... | Provide a detailed description of the following dataset: Facebook Page-Page |
Wiki Squirrel | The data was collected from the English Wikipedia (December 2018). These datasets represent page-page networks on specific topics (chameleons, crocodiles and squirrels). Nodes represent articles and edges are mutual links between them. The edges csv files contain the edges - nodes are indexed from 0. The features json ... | Provide a detailed description of the following dataset: Wiki Squirrel |
BMELD | **BMELD** is a bilingual (English-Chinese) dialogue corpus for Neural chat translation. | Provide a detailed description of the following dataset: BMELD |
Open Buildings | Building footprints are useful for a range of important applications, from population estimation, urban planning and humanitarian response, to environmental and climate science. This large-scale open dataset contains the outlines of buildings derived from high-resolution satellite imagery in order to support these type... | Provide a detailed description of the following dataset: Open Buildings |
TERRA-REF | The ARPA-E funded TERRA-REF project is generating open-access reference datasets for the study of plant sensing, genomics, and phenomics. Sensor data were generated by a field scanner sensing platform that captures color, thermal, hyperspectral, and active flourescence imagery as well as three dimensional structure and... | Provide a detailed description of the following dataset: TERRA-REF |
Deezer User Networks | The data was collected from the music streaming service Deezer (November 2017). These datasets represent friendship networks of users from 3 European countries. Nodes represent the users and edges are the mutual friendships. We reindexed the nodes in order to achieve a certain level of anonimity. The csv files contain ... | Provide a detailed description of the following dataset: Deezer User Networks |
Facebook Pages | We collected data about Facebook pages (November 2017). These datasets represent blue verified Facebook page networks of different categories. Nodes represent the pages and edges are mutual likes among them. We reindexed the nodes in order to achieve a certain level of anonimity. The csv files contain the edges -- node... | Provide a detailed description of the following dataset: Facebook Pages |
DBP2.0 zh-en | The DBP2.0 dataset can be downloaded from the figshare repository. It has three entity alignment settings, i.e., ZH-EN, JA-EN and FR-EN. Each setting has the following files:
ent_links: reference entity alignment;
rel_triples_1: relation triples in the ZH or JA or FR KG, list of triples like (h \t r \t t);
rel_tri... | Provide a detailed description of the following dataset: DBP2.0 zh-en |
EmailSum | Email Thread Summarization (EmailSum) is a dataset which contains human-annotated short (<30 words) and long (<100 words) summaries of 2,549 email threads (each containing 3 to 10 emails) over a wide variety of topics. It was developed to spur research in thread summarization. | Provide a detailed description of the following dataset: EmailSum |
SyDog | SyDog is a synthetic dataset of dogs containing ground truth pose and bounding box coordinates which was generated using the game engine, Unity. | Provide a detailed description of the following dataset: SyDog |
mTVR | mTVR is a large-scale multilingual video moment retrieval dataset, containing 218K English and Chinese queries from 21.8K TV show video clips. The dataset is collected by extending the popular TVR dataset (in English) with paired Chinese queries and subtitles. Compared to existing moment retrieval datasets, mTVR is mul... | Provide a detailed description of the following dataset: mTVR |
Chest ImaGenome | Chest ImaGenome is a dataset with a scene graph data structure to describe 242,072 images. Local annotations are automatically produced using a joint rule-based natural language processing (NLP) and atlas-based bounding box detection pipeline. Through a radiologist constructed CXR ontology, the annotations for each CXR... | Provide a detailed description of the following dataset: Chest ImaGenome |
ManiSkill | ManiSkill is a large-scale learning-from-demonstrations benchmark for articulated object manipulation with visual input (point cloud and image). ManiSkill supports object-level variations by utilizing a rich and diverse set of articulated objects, and each task is carefully designed for learning manipulations on a sing... | Provide a detailed description of the following dataset: ManiSkill |
DadaGP | DadaGP is a new symbolic music dataset comprising 26,181 song scores in the GuitarPro format covering 739 musical genres, along with an accompanying tokenized format well-suited for generative sequence models such as the Transformer. The tokenized format is inspired by event-based MIDI encodings, often used in symbolic... | Provide a detailed description of the following dataset: DadaGP |
OpenForensics | OpenForensics is a large-scale dataset posing a high level of challenges that is designed with face-wise rich annotations explicitly for face forgery detection and segmentation. With its rich annotations, the OpenForensics dataset has great potentials for research in both deepfake prevention and general human face dete... | Provide a detailed description of the following dataset: OpenForensics |
HR-Crime | HR-Crime is a subset of the [UCF-Crime](https://paperswithcode.com/dataset/ucf-crime) dataset suitable for human-related anomaly detection tasks. | Provide a detailed description of the following dataset: HR-Crime |
USC | The Uzbek speech corpus (USC) comprises 958 different speakers with a total of 105 hours of transcribed audio recordings. This is the first open-source Uzbek speech corpus dedicated to the ASR task. | Provide a detailed description of the following dataset: USC |
SoundingEarth | SoundingEarth consists of co-located aerial imagery and audio samples all around the world. | Provide a detailed description of the following dataset: SoundingEarth |
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