dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
MovingFashion | **MovingFashion** is a dataset for video-to-shop, the task of retrieving clothes which are worn in social media videos. MovingFashion is composed of 14,855 social videos, each one of them associated with e-commerce "shop" images where the corresponding clothing items are clearly portrayed. | Provide a detailed description of the following dataset: MovingFashion |
BANKING77 | Dataset composed of online banking queries annotated with their corresponding intents.
BANKING77 dataset provides a very fine-grained set of intents in a banking domain. It comprises 13,083 customer service queries labeled with 77 intents. It focuses on fine-grained single-domain intent detection. | Provide a detailed description of the following dataset: BANKING77 |
Mila Simulated Floods | Mila Simulated Floods Dataset is a 1.5 square km virtual world using the Unity3D game engine including urban, suburban and rural areas.
The *urban* environment contains skyscrapers, large buildings, and roads, as well as objects such as traffic items and vehicles. The *rural* environment consists of a landscape of g... | Provide a detailed description of the following dataset: Mila Simulated Floods |
ETH Kinect Dataset | This dataset contains 27 ROS bags of point clouds produced by a Kinect based the ground truth obtained from a Vicon pose capture system. These runs cover 3 environments of increasing complexity, with 3 types of motions at 3 different speeds. This dataset can be used with our ICP Mapper to track the pose of the Kinect a... | Provide a detailed description of the following dataset: ETH Kinect Dataset |
ETH Laser Registration Datasets | This group of datasets was recorded with the aim to test point cloud registration algorithms in specific environments and conditions. Special care is taken regarding the precision of the "ground truth" positions of the scanner, which is in the millimeter range, using a theodolite. | Provide a detailed description of the following dataset: ETH Laser Registration Datasets |
SpaceNet 7 | Satellite imagery analytics have numerous human development and disaster response applications, particularly when time series methods are involved. For example, quantifying population statistics is fundamental to 67 of the 232 United Nations Sustainable Development Goals, but the World Bank estimates that more than 100... | Provide a detailed description of the following dataset: SpaceNet 7 |
Labeled Retinal Optical Coherence Tomography Dataset for Classification of Normal, Drusen, and CNV Cases | This dataset consists of more than 16,000 retinal OCT B-scans from 441 cases (Normal: 120, Drusen: 160, CNV: 161) and is acquired at Noor Eye Hospital, Tehran, Iran. Images are labeled by a retinal specialist.
The structure of the folders are as below:
- CNV, DRUSEN, NORMAL folders
- Within each class, folders are... | Provide a detailed description of the following dataset: Labeled Retinal Optical Coherence Tomography Dataset for Classification of Normal, Drusen, and CNV Cases |
Symbolic Mathematics | A personalized subset of Symbolic Mathematics dataset, initially introduced in the paper Deep Learning for Symbolic Mathematics (Lample et al.). We used this subset for our paper Pretrained Language Models are Symbolic Mathematics Solvers Too! (Noorbakhsh et al.). | Provide a detailed description of the following dataset: Symbolic Mathematics |
AraCovid19-SSD | AraCovid19-SSD is a manually annotated Arabic COVID-19 sarcasm and sentiment detection dataset containing 5,162 tweets. | Provide a detailed description of the following dataset: AraCovid19-SSD |
eBDtheque | The eBDtheque database is a selection of one hundred comic pages from America, Japan (manga) and Europe.
Image source: [http://ebdtheque.univ-lr.fr/database/](http://ebdtheque.univ-lr.fr/database/) | Provide a detailed description of the following dataset: eBDtheque |
DCM | The DCM dataset is composed of 772 annotated images from 27 golden age comic books. We freely collected them from the free public domain collection of digitized comic books [Digital Comics Museum](http://digitalcomicmuseum.com/). One album per available publisher was selected to get as many different styles as possible... | Provide a detailed description of the following dataset: DCM |
Aristo-v4 | The Aristo Tuple KB contains a collection of high-precision, domain-targeted (subject,relation,object) tuples extracted from text using a high-precision extraction pipeline, and guided by domain vocabulary constraints. The dataset was introduced by the paper [_Domain-Targeted, High Precision Knowledge Extraction_](htt... | Provide a detailed description of the following dataset: Aristo-v4 |
HowSumm | HowSumm is a large-scale query-focused multi-document summarization dataset. It is focused on summarization of various sources to create HowTo guides. It is derived from wikiHow articles.
HowSumm is partitioned into HowSumm-Step where target summary is relatively short (avg. 90 words) and HowSumm-Method where target... | Provide a detailed description of the following dataset: HowSumm |
DSIOD | This dataset contains data which enables the evaluation of metamodels and approches for targeted test case selection without setting up test environments or performing test runs. The dataset is split into different scenarios: Each scenario comes with one or more tabular datasets containing the inputs and outputs of dif... | Provide a detailed description of the following dataset: DSIOD |
RWD-10K | Rogue Wave Dataset-10K dataset consists of 10191 rogue wave images. | Provide a detailed description of the following dataset: RWD-10K |
Odysseus | A major reason for the lack of a realistic Trojan detection method has been the unavailability of a large-scale benchmark dataset, consisting of clean and Trojan models. Here we introduce Odysseus the largest public dataset that contains over 3,000 trained clean and Trojan models based on Pytorch.
While creating Odys... | Provide a detailed description of the following dataset: Odysseus |
IndicTTS | A special corpus of Indian languages covering 13 major languages of India. It comprises of 10000+ spoken sentences/utterances each of mono and English recorded by both Male and Female native speakers. Speech waveform files are available in .wav format along with the corresponding text. We hope that these recordings wil... | Provide a detailed description of the following dataset: IndicTTS |
CGHD1152 | - 1152 Images
- 144 Circuits
- 12 Drafter
- 48,563 Object (Symbol, Structural, Text) Annotations | Provide a detailed description of the following dataset: CGHD1152 |
A Curb Dataset | This is a dataset with curb annotations by using 3D LiDAR data and we build this dataset based on the SemanticKITTI dataset. | Provide a detailed description of the following dataset: A Curb Dataset |
WenetSpeech | WenetSpeech is a multi-domain Mandarin corpus consisting of 10,000+ hours high-quality labeled speech, 2,400+ hours weakly labelled speech, and about 10,000 hours unlabeled speech, with 22,400+ hours in total. The authors collected the data from YouTube and Podcast, which covers a variety of speaking styles, scenarios,... | Provide a detailed description of the following dataset: WenetSpeech |
MOD20 | **MOD20** is an action recognition dataset consisting of videos collected from YouTube and our own drone. The dataset contains 2,324 videos lasting a total of 240 minutes. The actions were selected from challenging and complex scenarios, and cover multiple viewpoints, from ground-level to bird's-eye view. The substanti... | Provide a detailed description of the following dataset: MOD20 |
NGAFID-MC | NGNGAFID-MC consists of over 7500 labeled flights, representing over 11,500 hours of per second flight data recorder readings of 23 sensor parameters. | Provide a detailed description of the following dataset: NGAFID-MC |
FOD-A | FOD in Airports (FOD-A) is an image dataset of FOD, Foreign Object Degris, which consists of 31 object categories and over 30,000 annotation instances. The object categories have been selected based on guidance from prior documentation and related research by the Federal Aviation Administration (FAA). | Provide a detailed description of the following dataset: FOD-A |
V-HICO | **V-HICO** is a dataset for human-object interaction in videos. There are 6,594 videos, including 5,297 training videos, 635 validation videos, 608 test videos, and 54 unseen test videos, of human-object interaction. To test the performance of models on common human-object interaction classes and generalization to new ... | Provide a detailed description of the following dataset: V-HICO |
VOC 2012 | see detailed use case on code implementation of the paper 'Tell Me Where To Look: Guided Attention Inference Networks' | Provide a detailed description of the following dataset: VOC 2012 |
SignalTrain LA2A Dataset | LA-2A Compressor data to accompany the paper "SignalTrain: Profiling Audio Compressors with Deep Neural Networks," https://arxiv.org/abs/1905.11928
Accompanying computer code: https://github.com/drscotthawley/signaltrain
A collection of recorded data from an analog Teletronix LA-2A opto-electronic compressor, for... | Provide a detailed description of the following dataset: SignalTrain LA2A Dataset |
CityUHK-X-BEV | BEV Crowd-Counting dataset extended from CityUHK-X | Provide a detailed description of the following dataset: CityUHK-X-BEV |
TBCOV | TBCOV is a large-scale Twitter dataset comprising more than two billion multilingual tweets related to the COVID-19 pandemic collected worldwide over a continuous period of more than one year. Several state-of-the-art deep learning models are used to enrich the data with important attributes, including sentiment labels... | Provide a detailed description of the following dataset: TBCOV |
Bridge Data | Bridge Data is a large multi-domain and multi-task dataset, with 7,200 demonstrations constituting 71 tasks across 10 environments. The dataset is collected using a low-cost yet versatile 6-DoF WidowX250 robot arm and contains 7,200 demonstrations of a robot performing 71 kitchen tasks across 10 environments with varyi... | Provide a detailed description of the following dataset: Bridge Data |
BuildingNet | **BuildingNet** is a large-scale dataset of 3D building models whose exteriors are consistently labeled. The dataset consists on 513K annotated mesh primitives, grouped into 292K semantic part components across 2K building models. The dataset covers several building categories, such as houses, churches, skyscrapers, to... | Provide a detailed description of the following dataset: BuildingNet |
EDFace-Celeb-1M | **EDFace-Celeb-1M** is a public Ethnically Diverse Face dataset which is used to benchmark the task of face hallucination. The dataset includes 1.7 million photos that cover different countries, with balanced race composition. | Provide a detailed description of the following dataset: EDFace-Celeb-1M |
MetFaces | MetFaces is an image dataset of human faces extracted from works of art. The dataset consists of 1336 high-quality PNG images at 1024×1024 resolution. The images were downloaded via the Metropolitan Museum of Art Collection API, and automatically aligned and cropped using dlib. Various automatic filters were used to pr... | Provide a detailed description of the following dataset: MetFaces |
DCCW | | Name | Purpose |
|------|---------|
| [FM100P](FM100P/README.md) | Evaluation of the single palette sorting |
| [KHTP](KHTP/README.md) | Evaluation of the palette pair sorting |
| [LHSP](LHSP/README.md) | Evaluation of the palette similarity measurement |
| [Perceptual Study](perceptual-study/README.md) | Perce... | Provide a detailed description of the following dataset: DCCW |
Energy Consumption Curves of 499 Customers from Spain | Predictions of energy consumption are crucial for energy retailers to minimize deviations from energy acquired in the day-ahead market and the actual consumption of their customers. The increasing spread of smartmeters means that retailers have access to hourly consumption values of all their contracted customers in re... | Provide a detailed description of the following dataset: Energy Consumption Curves of 499 Customers from Spain |
EM-POSE | Electromagnetic measurements obtained from 12 wireless sensors, paired with the corresponding ground-truth SMPL poses. Approx. 37 minutes recorded with 5 participants. | Provide a detailed description of the following dataset: EM-POSE |
GeoMNIST | A simple dataset consisting of three geometric shapes (Triangle, Rectangle, Ellipsoid) of similar sizes but different orientations. | Provide a detailed description of the following dataset: GeoMNIST |
Gait Dataset | Details about the creation of the dataset can be seen in https://arxiv.org/abs/2110.06139.
```
@misc{sa2021classification,
title={Classification of anomalous gait using Machine Learning techniques and embedded sensors},
author={T. R. D. Sa and C. M. S. Figueiredo},
year={2021},
eprint=... | Provide a detailed description of the following dataset: Gait Dataset |
STR-2021 | The **STR-2021** dataset has 5,500 English sentence pairs manually annotated for semantic relatedness using a comparative annotation framework. | Provide a detailed description of the following dataset: STR-2021 |
MUNO21 | **MUNO21** is a large-scale and comprehensive dataset for the map update task. It includes time series of aerial images and map data to capture the evolution of both the physical road network and real street maps over time -- we collect NAIP aerial images at each of four years over the eight-year timespan from 2012–201... | Provide a detailed description of the following dataset: MUNO21 |
KOHTD | Kazakh offline Handwritten Text dataset (KOHTD) has 3000 handwritten exam papers and more than 140335 segmented images and there are approximately 922010 symbols. It can serve researchers in the field of handwriting recognition tasks by using deep and machine learning.
Image source: [https://github.com/abdoelsayed20... | Provide a detailed description of the following dataset: KOHTD |
QMAR | QMAR is an RGB multi-view Quality of Human Movement Assessment dataset.
QMAR was recorded using 6 Primesense cameras (3 different frontal views and 3 different side views) with 38 healthy subjects, 8 female and 30 male. The subjects were trained by a physiotherapist to perform two different types of movements while... | Provide a detailed description of the following dataset: QMAR |
Real Life Violence Situations Dataset | This dataset has the following citation: M. Soliman, M. Kamal, M. Nashed, Y. Mostafa, B. Chawky, D. Khattab, “ Violence Recognition from Videos using Deep Learning Techniques”, Proc. 9th International Conference on Intelligent Computing and Information Systems (ICICIS'19), Cairo, pp. 79-84, 2019. please use it in case ... | Provide a detailed description of the following dataset: Real Life Violence Situations Dataset |
ImageNet 50 samples per class | This ImageNet version contains only 50 training images per class while the original testing set remains unchanged. It is one of the datasets comprising the data-efficient image classification (DEIC) benchmark.
It was proposed to challenge the generalization capabilities of modern image classifiers. | Provide a detailed description of the following dataset: ImageNet 50 samples per class |
DEIC Benchmark | DEIC is a benchmark for measuring the data efficiency of models in the context of image classification.
It is composed of 6 datasets that contain a small number of training samples per class (i.e., 30 < x < 80).
It covers multiple image domains (i.e., natural images, fine-grained recognition, medical images, remote s... | Provide a detailed description of the following dataset: DEIC Benchmark |
Deep Sea Treasure Pareto-Front | The dataset contains two Pareto-fronts:
- The Pareto-front for the 2-objective problem
- The Pareto-front for the 3-objective problem
Each Pareto-front contains a set of points, with coordinates given by their objectives. The dataset also contains 1 possible action sequence that leads to this point. If there are m... | Provide a detailed description of the following dataset: Deep Sea Treasure Pareto-Front |
Multilingual Dataset for Training and Evaluating Diacritics Restoration Systems | The dataset contains training and evaluation data for 12 languages:
- Vietnamese
- Romanian
- Latvian
- Czech
- Polish
- Slovak
- Irish
- Hungarian
- French
- Turkish
- Spanish
- Croatian
For each language, one training, one development and one testing set acquired from Wikipedia articles is provided. Mo... | Provide a detailed description of the following dataset: Multilingual Dataset for Training and Evaluating Diacritics Restoration Systems |
Ego4D | Ego4D is a massive-scale egocentric video dataset and benchmark suite. It offers 3,025 hours of daily life activity video spanning hundreds of scenarios (household, outdoor, workplace, leisure, etc.) captured by 855 unique camera wearers from 74 worldwide locations and 9 different countries. The approach to collection ... | Provide a detailed description of the following dataset: Ego4D |
EigenWorms | Caenorhabditis elegans is a roundworm commonly used as a model organism in the study of genetics. The movement of these worms is known to be a useful indicator for understanding behavioural genetics. Brown {\em et al.}[1] describe a system for recording the motion of worms on an agar plate and measuring a range of huma... | Provide a detailed description of the following dataset: EigenWorms |
HUMAN4D | HUMAN4D is a large and multimodal 4D dataset that contains a variety of human activities simultaneously captured by a professional marker-based MoCap, a volumetric capture and an audio recording system. By capturing 2 female and $2$ male professional actors performing various full-body movements and expressions, HUMAN4... | Provide a detailed description of the following dataset: HUMAN4D |
ConditionalQA | ConditionalQA is a Question Answering (QA) dataset that contains complex questions with conditional answers, i.e. the answers are only applicable when certain conditions apply. | Provide a detailed description of the following dataset: ConditionalQA |
PyTorrent | PyTorrent contains 218,814 Python package libraries from PyPI and Anaconda environment. This is because earlier studies have shown that much of the code is redundant and Python packages from these environments are better in quality and are well-documented. PyTorrent enables users (such as data scientists, students, et... | Provide a detailed description of the following dataset: PyTorrent |
Multimodal Emoji Prediction | The twitter emoji dataset obtained from CodaLab comprises of 50 thousand tweets along with the associated emoji label. Each tweet in the dataset has a corresponding numerical label which maps to a specific emoji. The emojis are of the 20 most frequent emojis and hence the labels range from 0 to 19 | Provide a detailed description of the following dataset: Multimodal Emoji Prediction |
DeepGlobe | We observe that satellite imagery is a powerful source of information as it contains more structured and uniform data, compared to traditional images. Although computer vision community has been accomplishing hard tasks on everyday image datasets using deep learning, satellite images are only recently gaining attention... | Provide a detailed description of the following dataset: DeepGlobe |
Massachusetts Roads Dataset | The datasets introduced in Chapter 6 of my PhD thesis are below. See the thesis for more details. If you use any of these datasets for research purposes you should use the following citation in any resulting publications:
```
@phdthesis{MnihThesis,
author = {Volodymyr Mnih},
title = {Machine Learning for ... | Provide a detailed description of the following dataset: Massachusetts Roads Dataset |
Chikusei Dataset | The airborne hyperspectral dataset was taken by Headwall Hyperspec-VNIR-C imaging sensor over agricultural and urban areas in Chikusei, Ibaraki, Japan, on July 29, 2014 between the times 9:56 to 10:53 UTC+9. The central point of the scene is located at coordinates: 36.294946N, 140.008380E. The hyperspectral dataset has... | Provide a detailed description of the following dataset: Chikusei Dataset |
LoveDA | 1. 5987 high spatial resolution (0.3 m) remote sensing images from Nanjing, Changzhou, and Wuhan
2. Focus on different geographical environments between Urban and Rural
3. Advance both semantic segmentation and domain adaptation tasks
4. Three considerable challenges:
* Multi-scale objects
* Complex backgr... | Provide a detailed description of the following dataset: LoveDA |
FMFCC-A | FMFCC-A is a large publicly-available Mandarin dataset for synthetic speech detection, which contains 40,000 synthesized Mandarin utterances that generated by 11 Mandarin TTS systems and two Mandarin VC systems, and 10,000 genuine Mandarin utterance collected from 58 speakers. The FMFCCA dataset is divided into the tra... | Provide a detailed description of the following dataset: FMFCC-A |
POG | Object detection dataset featuring people walking on grass captured aboard a UAV. This data sets include precise meta data information about altitude, viewing angle and others. | Provide a detailed description of the following dataset: POG |
DialFact | DialFact is a testing benchmark dataset of 22,245 annotated conversational claims, paired with pieces of evidence from Wikipedia. There are three sub-tasks in DialFact: 1) Verifiable claim detection task distinguishes whether a response carries verifiable factual information; 2) Evidence retrieval task retrieves the mo... | Provide a detailed description of the following dataset: DialFact |
BBQ | Bias Benchmark for QA (BBQ) is a dataset consisting of question-sets constructed by the authors that highlight attested social biases against people belonging to protected classes along nine different social dimensions relevant for U.S. English-speaking contexts. | Provide a detailed description of the following dataset: BBQ |
Acappella | Acappella comprises around 46 hours of a cappella solo singing videos sourced from YouTbe, sampled across different singers and languages. Four languages are considered: English, Spanish, Hindi and others.
This dateset was designed for **Audiovisual singing voice separation**, although it can be used for any self-... | Provide a detailed description of the following dataset: Acappella |
CCQA | CCQA is new web-scale dataset for in-domain model pre-training. CCQA is a novel QA dataset based on the Common Crawl project. Using the readily available schema.org annotation, around 130 million multilingual question-answer pairs are extracted, including about 60 million English data-points. | Provide a detailed description of the following dataset: CCQA |
SHREC'19 | Shape matching plays an important role in geometry processing and shape analysis. In the last decades, much research has been devoted to improve the quality of matching between surfaces. This huge effort is motivated by several applications such as object retrieval, animation and information transfer just to name a few... | Provide a detailed description of the following dataset: SHREC'19 |
TOSCA | Hi-resolution three-dimensional nonrigid shapes in a variety of poses for non-rigid shape similarity and correspondence experiments. The database contains a total of 80 objects, including 11 cats, 9 dogs, 3 wolves, 8 horses, 6 centaurs, 4 gorillas, 12 female figures, and two different male figures, containing 7 and 20 ... | Provide a detailed description of the following dataset: TOSCA |
SHREC'16 Partial Benchmark | Finding a correspondence between two shapes is a fundamental task in computer graphics and geometry processing with applications ranging from texture mapping to animation. A particularly challenging and widely studied setting is when shapes are allowed to undergo quasi-isometric deformations, as it happens when we cons... | Provide a detailed description of the following dataset: SHREC'16 Partial Benchmark |
BEAMetrics | **BEAMetrics** (Benchmark to Evaluate Automatic Metrics) is resource to make research into new metrics for evaluation of generated language easier to evaluate. BEAMetrics users can quickly compare existing and new metrics with human judgements across a diverse set of tasks, quality dimensions (fluency vs. coherence vs.... | Provide a detailed description of the following dataset: BEAMetrics |
CoDa | The Color Dataset (CoDa) is a probing dataset to evaluate the representation of visual properties in language models. CoDa consists of color distributions for 521 common objects, which are split into 3 groups: Single, Multi, and Any.
The default configuration of CoDa uses 10 CLIP-style templates (e.g. "A photo of a... | Provide a detailed description of the following dataset: CoDa |
NYU-VPR | **NYU-VPR** is a dataset for Visual place recognition (VPR) that contains more than 200,000 images over a 2km×2km area near the New York University campus, taken within the whole year of 2016. | Provide a detailed description of the following dataset: NYU-VPR |
CodRep | Five curated datasets of one-liner commits from open-source projects. In total,
they are composed of 58069 one-liner commits. | Provide a detailed description of the following dataset: CodRep |
MAAD | The **Model for Attended Awareness in Driving** (**MAAD**) is a dataset of third-person estimates of a driver’s attended awareness. It consists of videos of a scene, as seen by a person performing a task in the scene, along with noisily registered ego-centric gaze sequences from that person. | Provide a detailed description of the following dataset: MAAD |
PubTables-1M | The goal of PubTables-1M is to create a large, detailed, high-quality dataset for training and evaluating a wide variety of models for the tasks of **table detection**, **table structure recognition**, and **functional analysis**. It contains:
- 460,589 annotated document pages containing tables for table detection.... | Provide a detailed description of the following dataset: PubTables-1M |
Experiment-data-for-UM-S-TM | 0.This is experiment data for the following article:
@misc{liu2021topic,
title={Topic Model Supervised by Understanding Map},
author={Gangli Liu},
year={2021},
eprint={2110.06043},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
1. *.txt files are the data of Table 4 of th... | Provide a detailed description of the following dataset: Experiment-data-for-UM-S-TM |
CNewSum | **CNewSum** is a large-scale Chinese news summarization dataset which consists of 304,307 documents and human-written summaries for the news feed. It has long documents with high-abstractive summaries, which can encourage document-level understanding and generation for current summarization models. An additional distin... | Provide a detailed description of the following dataset: CNewSum |
UVO | UVO is a new benchmark for open-world class-agnostic object segmentation in videos. Besides shifting the problem focus to the open-world setup, UVO is significantly larger, providing approximately 8 times more videos compared with [DAVIS](/dataset/davis), and 7 times more mask (instance) annotations per video compared ... | Provide a detailed description of the following dataset: UVO |
ASIRRA | Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) or HIP (Human Interactive Proof). HIPs are used for many purposes, such a... | Provide a detailed description of the following dataset: ASIRRA |
OpenImages-v6 | OpenImages V6 is a large-scale dataset ,
consists of 9 million training images, 41,620 validation
samples, and 125,456 test samples. It is a partially annotated dataset, with 9,600 trainable classes | Provide a detailed description of the following dataset: OpenImages-v6 |
NACA Airfoils | The training datasets consisting of NACA 4- and 5-digit airfoils, at different flight conditions, were generated using Javafoil. | Provide a detailed description of the following dataset: NACA Airfoils |
TAU-NIGENS Spatial Sound Events 2020 | The TAU-NIGENS Spatial Sound Events 2020 dataset contains multiple spatial sound-scene recordings, consisting of sound events of distinct categories integrated into a variety of acoustical spaces, and from multiple source directions and distances as seen from the recording position. The spatialization of all sound even... | Provide a detailed description of the following dataset: TAU-NIGENS Spatial Sound Events 2020 |
ICASSP 2021 Acoustic Echo Cancellation Challenge | The ICASSP 2021 Acoustic Echo Cancellation Challenge is intended to stimulate research in the area of acoustic echo cancellation (AEC), which is an important part of speech enhancement and still a top issue in audio communication and conferencing systems. Many recent AEC studies report good performance on synthetic dat... | Provide a detailed description of the following dataset: ICASSP 2021 Acoustic Echo Cancellation Challenge |
INTERSPEECH 2021 Acoustic Echo Cancellation Challenge | The INTERSPEECH 2021 Acoustic Echo Cancellation Challenge is intended to stimulate research in the area of acoustic echo cancellation (AEC), which is an important part of speech enhancement and still a top issue in audio communication and conferencing systems. Many recent AEC studies report reasonable performance on sy... | Provide a detailed description of the following dataset: INTERSPEECH 2021 Acoustic Echo Cancellation Challenge |
SCICAP | SCICAP is a large-scale image captioning dataset that contains real-world scientific figures and captions. SCICAP was constructed using more than two million images from over 290,000 papers collected and released by arXiv.
Image source: [https://arxiv.org/pdf/2110.11624v1.pdf](https://arxiv.org/pdf/2110.11624v1.pdf) | Provide a detailed description of the following dataset: SCICAP |
FIRESTARTER 2 - dataset and notebooks | Data used in the paper "FIRESTARTER 2: Dynamic Code Generation for Processor Stress Tests", as well as notebooks to generate plots. | Provide a detailed description of the following dataset: FIRESTARTER 2 - dataset and notebooks |
NTU RGB+D 2D | **NTU RGB+D 2D** is a curated version of [NTU RGB+D](https://paperswithcode.com/dataset/ntu-rgb-d) often used for skeleton-based action prediction and synthesis. It contains less number of actions. | Provide a detailed description of the following dataset: NTU RGB+D 2D |
Small-Bench NLP | Small-Bench NLP is a benchmark for small efficient neural language models trained on a single GPU. Small-Bench NLP benchmark comprises of eight NLP tasks on the publicly available GLUE datasets and a leaderboard to track the progress of the community. | Provide a detailed description of the following dataset: Small-Bench NLP |
SpaceNet 2 | *SpaceNet 2: Building Detection v2* - is a dataset for building footprint detection in geographically diverse settings from very high resolution satellite images. It contains over 302,701 building footprints, 3/8-band Worldview-3 satellite imagery at 0.3m pixel res., across 5 cities (Rio de Janeiro, Las Vegas, Paris, S... | Provide a detailed description of the following dataset: SpaceNet 2 |
Turn-Level Goals Dataset | This dataset is a record of the active learning data collected from interacting with PersonaGPT to fine-tune its actions toward turn-level goals, which are text descriptions of decoding goals for each response in a conversation.
There are 11 possible turn-level goals that can be used to condition the PersonaGPT respo... | Provide a detailed description of the following dataset: Turn-Level Goals Dataset |
Coveo Data Challenge Dataset | The 2021 SIGIR workshop on eCommerce is hosting the Coveo Data Challenge for "In-session prediction for purchase intent and recommendations". The challenge addresses the growing need for reliable predictions within the boundaries of a shopping session, as customer intentions can be different depending on the occasion. ... | Provide a detailed description of the following dataset: Coveo Data Challenge Dataset |
VerSe | Spine or vertebral segmentation is a crucial step in all applications regarding automated quantification of spinal morphology and pathology. With the advent of deep learning, for such a task on computed tomography (CT) scans, a big and varied data is a primary sought-after resource. However, a large-scale, public datas... | Provide a detailed description of the following dataset: VerSe |
The Berka Dataset | The Berka dataset is a collection of financial information from a Czech bank. The dataset deals with over 5,300 bank clients with approximately 1,000,000 transactions. Additionally, the bank represented in the dataset has extended close to 700 loans and issued nearly 900 credit cards, all of which are represented in th... | Provide a detailed description of the following dataset: The Berka Dataset |
SSP-3D | SSP-3D is an evaluation dataset consisting of 311 images of sportspersons in tight-fitted clothes, with a variety of body shapes and poses. The images were collected from the [Sports-1M dataset](https://cs.stanford.edu/people/karpathy/deepvideo/). SSP-3D is intended for use as a benchmark for body **shape** prediction ... | Provide a detailed description of the following dataset: SSP-3D |
SpaceNet 1 | SpaceNet 1: Building Detection v1 is a dataset for building footprint detection. The data is comprised of 382,534 building footprints, covering an area of 2,544 sq. km of 3/8 band WorldView-2 imagery (0.5 m pixel res.) across the city of Rio de Janeiro, Brazil. The images are processed as 200m×200m tiles with associate... | Provide a detailed description of the following dataset: SpaceNet 1 |
Carbon Intensity 2020 | Energy production and carbon intensity datasets for the regions Germany, Great Britain, France (all via the [ENTSO-E Transparency Platform](https://transparency.entsoe.eu/)) and California (via [California ISO](https://www.caiso.com/)) for the entire year 2020 +-10 days. | Provide a detailed description of the following dataset: Carbon Intensity 2020 |
SMLM CEP152-Complex FITS Images | The following files comprise 19 sets of 40,000 images, each set corresponding to a different rendering sigma as described in the paper.
* Extracting *
To extract the files, execute the following command (under Linux):
cat paper_data.tar.gz.* | tar xzvf -
* Organisation *
The data are grouped into 19... | Provide a detailed description of the following dataset: SMLM CEP152-Complex FITS Images |
IndoNLI | IndoNLI is the first human-elicited NLI dataset for Indonesian consisting of nearly 18K sentence pairs annotated by crowd workers and experts. | Provide a detailed description of the following dataset: IndoNLI |
SALAMI | Comes from https://ddmal.music.mcgill.ca/research/SALAMI/:
SALAMI is an innovative and ambitious computational musicology project. To date, musical analysis has been conducted by individuals and on a small scale. Our computational approach, combined with the huge volume of data now available from such source as the ... | Provide a detailed description of the following dataset: SALAMI |
Lower-limb Kinematics and Kinetics During Continuously Varying Human Locomotion | This dataset reports the lower-limb kinematics and kinetics of ten able-bodied subjects walking at multiple inclines (± 0°, 5°, and 10°) and speeds (0.8 m/s, 1 m/s, and 1.2 m/s), running over level-ground at multiple speeds (1.8 m/s, 2 m/s, 2.2 m/s, and 2.4 m/s), walking and running with constant acceleration and decel... | Provide a detailed description of the following dataset: Lower-limb Kinematics and Kinetics During Continuously Varying Human Locomotion |
TMBuD | **TMBuD** is a dataset for building recognition and 3D reconstruction of human made structures in urban scenarios. The dataset features 160 images of buildings from Timişoara, Romania, with a resolution of 768 x 1024 pixels each. The proposed dataset will allow proper evaluation of salient edges and semantic segmentati... | Provide a detailed description of the following dataset: TMBuD |
Surgical Hands | Surgical Hands is a dataset that provides multi-instance articulated hand pose annotations for in-vivo videos. The dataset contains 76 video clips from 28 publicly available surgical videos and over 8.1k annotated hand pose instances. | Provide a detailed description of the following dataset: Surgical Hands |
A Dataset of Multispectral Potato Plants Images | The dataset contains aerial agricultural images of a potato field with manual labels of healthy and stressed plant regions. The images were collected with a Parrot Sequoia multispectral camera carried by a 3DR Solo drone flying at an altitude of 3 meters. The dataset consists of RGB images with a resolution of 750×750 ... | Provide a detailed description of the following dataset: A Dataset of Multispectral Potato Plants Images |
CIFAR-10N | This work presents two new benchmark datasets (CIFAR-10N, CIFAR-100N), equipping the training dataset of CIFAR-10 and CIFAR-100 with human-annotated real-world noisy labels that we collect from Amazon Mechanical Turk. | Provide a detailed description of the following dataset: CIFAR-10N |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.