dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
Indian Number Plates Dataset | ### **This dataset is collected by DataCluster Labs. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: [sales@datacluster.ai](mailto:sales@datacluster.ai)**
This dataset is an extremely challenging set of over 20,000+ original Number plate images captured... | Provide a detailed description of the following dataset: Indian Number Plates Dataset |
Vehicle Dataset | Indian Vehicle Dataset | ### **This dataset is collected by DataCluster Labs. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: [sales@datacluster.ai](mailto:sales@datacluster.ai)**
This dataset is an extremely challenging set of over 50,000+ original Vehicle images captured and ... | Provide a detailed description of the following dataset: Vehicle Dataset | Indian Vehicle Dataset |
Twitter MediaEval | The task addresses the problem of the appearance and propagation of posts that share misleading multimedia content (images or video).
In the context of the task, different types of misleading use are considered:
1. Reposting of real multimedia, such as real photos from the past re-posted as being associated to a cu... | Provide a detailed description of the following dataset: Twitter MediaEval |
GWA | GWA is a large-scale audio dataset of over 2 million synthetic room impulse responses (IRs) and their corresponding detailed geometric and simulation configurations. Our dataset samples acoustic environments from over 6.8K high-quality diverse and professionally designed houses represented as semantically labeled 3D me... | Provide a detailed description of the following dataset: GWA |
PGDP5K | PGDP5K is a dataset consisting of 5000 diagram samples composed of 16 shapes, covering 5 positional relations, 22 symbol types and 6 text types, labeled with more fine-grained annotations at primitive level, including primitive classes, locations and relationships, where 1,813 non-duplicated images are selected from th... | Provide a detailed description of the following dataset: PGDP5K |
ADHD-200 | Attention Deficit Hyperactivity Disorder (ADHD) affects at least 5-10% of school-age children and is associated with substantial lifelong impairment, with annual direct costs exceeding $36 billion/year in the US. Despite a voluminous empirical literature, the scientific community remains without a comprehensive model o... | Provide a detailed description of the following dataset: ADHD-200 |
BurstSR | BurstSR is a dataset consisting of smartphone bursts and high-resolution DSLR ground-truth | Provide a detailed description of the following dataset: BurstSR |
WikiBanEvasion | A dataset comprising 8,551 ban evasion pairs on Wikipedia, where each pair comprises a parent account and the child account. We adopt a strategy to ensure that there is a 1:1 mapping between parent and child accounts. For each of the accounts in these ban evasion pairs, we provide the following data:
- Wikipedia usern... | Provide a detailed description of the following dataset: WikiBanEvasion |
Penn94 | Node classification on Penn94 | Provide a detailed description of the following dataset: Penn94 |
genius | node classification on genius | Provide a detailed description of the following dataset: genius |
twitch-gamers | node classification on twitch-gamers | Provide a detailed description of the following dataset: twitch-gamers |
NICO++ | The goal of NICO Challenge is to facilitate the OOD (Out-of-Distribution) generalization in visual recognition through promoting the research on the intrinsic learning mechanisms with native invariance and generalization ability. The training data is a mixture of several observed contexts while the test data is compose... | Provide a detailed description of the following dataset: NICO++ |
MFQE v2 | A dataset for compressed video quality enhancement. | Provide a detailed description of the following dataset: MFQE v2 |
Water Footprint Recommender System Data | It contains data from two different realities: Food.com, a well-known American recipe site, and Planeat, an Italian site that allows you to plan recipes to save food waste. The dataset is divided into two parts: embeddings, which can be used directly to execute the work and receive suggestions, and raw data, which must... | Provide a detailed description of the following dataset: Water Footprint Recommender System Data |
Korpus Malti | General Corpora for the Maltese Language. | Provide a detailed description of the following dataset: Korpus Malti |
TBBR | The dataset of Thermal Bridges on Building Rooftops (TBBR dataset) consists of annotated combined RGB and thermal drone images with a height map. All images were converted to a uniform format of 3000$\times$4000 pixels, aligned, and cropped to 2400$\times$3400 to remove empty borders.
The raw images for our dataset ... | Provide a detailed description of the following dataset: TBBR |
DWS | Temp | Provide a detailed description of the following dataset: DWS |
OAGT | OAGL is a paper topic dataset consisting of 6942930 records which comprise various scientific publication attributes like abstracts, titles, keywords, publication years, venues, etc. The last two fields of each record are the topic id from a taxonomy of 27 topics created from the entire collection and the 20 most signi... | Provide a detailed description of the following dataset: OAGT |
AIC | A large-scale dataset named AIC (AI Challenger) with three sub-datasets, human keypoint detection (HKD), large-scale attribute dataset (LAD) and image Chinese captioning (ICC). | Provide a detailed description of the following dataset: AIC |
ExtMarker | Three-dimensional position of external markers placed on the chest and abdomen of healthy individuals breathing during intervals from 73s to 222s. The markers move because of the respiratory motion, and their position is sampled at approximately 10Hz. Markers are metallic objects used during external beam radiotherapy ... | Provide a detailed description of the following dataset: ExtMarker |
CzechNewsDatasetForSTS | The data originate from the journalistic domain in the Czech language. We describe the process of collecting and annotating the data in detail. The dataset contains 138,556 human annotations divided into train and test sets. In total, 485 journalism students participated in the creation process. To increase the reliabi... | Provide a detailed description of the following dataset: CzechNewsDatasetForSTS |
FaceVerse | FaceVerse-High Quality 3D Face Dataset contains 2,688 high-quality head scans (21 expressions from 128 identities) captured by a dense DLSR rig. For each scan, we provide the 3D model (.obj), the corresponding texture map (.jpeg) and the FaceVerse fitted model (.ply) with the same topology. | Provide a detailed description of the following dataset: FaceVerse |
EmoDB Dataset | The EMODB database is the freely available German emotional database. The database is created by the Institute of Communication Science, Technical University, Berlin, Germany. Ten professional speakers (five males and five females) participated in data recording. The database contains a total of 535 utterances. The EMO... | Provide a detailed description of the following dataset: EmoDB Dataset |
Construction Vehicle Image Dataset |Trucks|Tractor etc. | This dataset is an extremely challenging set of over 20,000+ original Construction vehicle images captured and crowdsourced from over 600+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs.
- Dataset Features
- Dataset size : 20,000+
- Ca... | Provide a detailed description of the following dataset: Construction Vehicle Image Dataset |Trucks|Tractor etc. |
SWAT A7 | 11 days of continuous operation: 7 under normal operation and 4 days with attack scenarios:
+ Collected network traffic & all the values obtained from all the 51 sensors and actuators
+ Data labelled according to normal and abnormal behaviours
+ Attack Scenarios: Derived through the attack models developed by our r... | Provide a detailed description of the following dataset: SWAT A7 |
DigiLeTs | A dataset with $23\,870$ digital trajectories (i.e. time series) of handwritten lower- and uppercase Latin letters and Arabic numbers ($a$-$z$, $A$-$Z$, $0$-$9$), generated by $77$ experts using a Wacom Pen Tablet. An expert is considered a proficient user of the recorded symbols, in this case adult native German speak... | Provide a detailed description of the following dataset: DigiLeTs |
Bosch CNC Machining Dataset | The dataset provided is a collection of real-world industrial vibration data collected from a brownfield CNC milling machine. The acceleration has been measured using a tri-axial accelerometer (Bosch CISS Sensor) mounted inside the machine. The X- Y- and Z-axes of the accelerometer have been recorded using a sampling r... | Provide a detailed description of the following dataset: Bosch CNC Machining Dataset |
Telegraphic Summaries | # README
Created by Malireddy Chanakya & Srivenkata N Mounika Somisetty & Malireddy Chaitanya
## The dataset contains:
- 200 short stories
- 200 corresponding telegraphic summaries
- 50 selected abstractive summaries
- 50 selected extractive summaries each by SMMRY and RESOOMER
- 45 MCQ questions f... | Provide a detailed description of the following dataset: Telegraphic Summaries |
Visual Domain Decathlon | The goal of this challenge is to solve simultaneously ten image classification problems representative of very different visual domains. The data for each domain is obtained from the following image classification benchmarks:
ImageNet
CIFAR-100
Aircraft
Daimler pedestrian classification
Describable textu... | Provide a detailed description of the following dataset: Visual Domain Decathlon |
METR-LA Point Missing | The original dataset from [Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting](https://arxiv.org/abs/1707.01926) contains traffic readings collected from 207 loop detectors on highways in Los Angeles County, aggregated in 5 minutes intervals over four months between March 2012 and June 20... | Provide a detailed description of the following dataset: METR-LA Point Missing |
PEMS-BAY Point Missing | The original dataset from [Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting](https://arxiv.org/abs/1707.01926) contains 6 months of traffic readings from 01/01/2017 to 05/31/2017 collected every 5 minutes by 325 traffic sensors in San Francisco Bay Area. The measurements are provided by... | Provide a detailed description of the following dataset: PEMS-BAY Point Missing |
CPED | We construct a dataset named CPED from 40 Chinese TV shows. CPED consists of multisource knowledge related to empathy and personal characteristic. This knowledge covers 13 emotions, gender, Big Five personality traits, 19 dialogue acts and other knowledge.
* We build a multiturn Chinese Personalized and Emotional... | Provide a detailed description of the following dataset: CPED |
Bongard-HOI | Bongard-HOI testifies to which extent your few-shot visual learner can quickly induce the true HOI concept from a handful of images and perform reasoning with it. Further, the learner is also expected to transfer the learned few-shot skills to novel HOI concepts compositionally. | Provide a detailed description of the following dataset: Bongard-HOI |
Heroes Corpus | Each episode directory contains word-level and segment-level information of the whole episode and also parallel samples extracted under segments_eng and segments_spa subdirectories. Each sample is stored as an WAV audio file, text file and a CSV file containing word timing information and word-level paralinguistic and ... | Provide a detailed description of the following dataset: Heroes Corpus |
Congolese Swahili – French parallel text corpora | French sentences are sourced from Tatoeba repository and then translated into Congolese Swahili. | Provide a detailed description of the following dataset: Congolese Swahili – French parallel text corpora |
language-modeling-recommendation | This is the Big-Bench version of our language-based movie recommendation dataset
https://github.com/google/BIG-bench/tree/main/bigbench/benchmark_tasks/movie_recommendation
GPT-2 has a 48.8% accuracy, chance is 25%. | Provide a detailed description of the following dataset: language-modeling-recommendation |
Binomial and toric ideal data | This data set consists of randomly generated binomial and toric ideals. It was used for predicting a certain complexity measure of Buchberger's algorithm for toric and binomial ideals in small number of variables. | Provide a detailed description of the following dataset: Binomial and toric ideal data |
GEN1 Detection | Prophesee’s GEN1 Automotive Detection Dataset is the largest Event-Based Dataset to date.
The dataset was recorded using a PROPHESEE GEN1 sensor with a resolution of 304×240 pixels, mounted on a car dashboard. The labels were obtained using the gray level estimation feature of the ATIS camera by labelling manually.
... | Provide a detailed description of the following dataset: GEN1 Detection |
BreastDICOM4 | Several *datasets* are fostering innovation in higher-level functions for everyone, everywhere. By providing this repository, we hope to encourage the research community to focus on hard problems. In this repository, we present our medical imaging [DICOM](https://en.wikipedia.org/wiki/DICOM) files of patients from our ... | Provide a detailed description of the following dataset: BreastDICOM4 |
PSB2 | https://arxiv.org/abs/2106.06086 | Provide a detailed description of the following dataset: PSB2 |
BreastRates4 | Several *datasets* are fostering innovation in higher-level functions for everyone, everywhere. By providing this repository, we hope to encourage the research community to focus on hard problems. In this repository, we present our severity *rates* ([BIRADS](https://en.wikipedia.org/wiki/BI-RADS)) of clinicians while d... | Provide a detailed description of the following dataset: BreastRates4 |
BreastClassifications4 | Several *datasets* are fostering innovation in higher-level functions for everyone, everywhere. By providing this repository, we hope to encourage the research community to focus on hard problems. In this repository, we present the real results severity ([BIRADS](https://en.wikipedia.org/wiki/BI-RADS)) and pathology (p... | Provide a detailed description of the following dataset: BreastClassifications4 |
CIFAR100-LT | The Long-tailed Version of CIFAR100 | Provide a detailed description of the following dataset: CIFAR100-LT |
MathMLben | MathMLben is a benchmark to the evaluate tools for mathematical format conversion (LaTeX ↔ MathML ↔ CAS). It comprises semantically annotated and linked formulae extracted from the NTCIR 11/12 arXiv and Wikipedia task / dataset, NIST Digital Library of Mathematical Functions (DLMF) and annotations using the AnnoMathTeX... | Provide a detailed description of the following dataset: MathMLben |
Riposte! | From the [Riposte! A Large Corpus of Counter-Arguments
](https://arxiv.org/abs/1910.03246) abstract:
> Constructive feedback is an effective method for improving critical thinking skills. Counter-arguments (CAs), one form of constructive feedback, have been proven to be useful for critical thinking skills. However,... | Provide a detailed description of the following dataset: Riposte! |
RESPIRATORY AND DRUG ACTUATION DATASET | Asthma is a common, usually long-term respiratory disease with negative impact on society and the economy worldwide. Treatment involves using medical devices (inhalers) that distribute medicationto the airways, and its efficiency depends on the precision of the inhalation technique. Health monitoring systems equipped w... | Provide a detailed description of the following dataset: RESPIRATORY AND DRUG ACTUATION DATASET |
BankNote-Net | Millions of people around the world have low or no vision. Assistive software applications have been developed for a variety of day-to-day tasks, including currency recognition. To aid with this task, we present BankNote-Net, an open dataset for assistive currency recognition. The dataset consists of a total of 24,816 ... | Provide a detailed description of the following dataset: BankNote-Net |
Billboard in Japanese Streetscapes | Annotated and original images of billboards in Japanese street scapes | Provide a detailed description of the following dataset: Billboard in Japanese Streetscapes |
Fongbe Speech Dataset | This dataset was created for Fongbe automatic speech
recognition task and contains about 3979 recordings
of 13 participants reading a text written in Fongbe, one
sentence at a time. Fongbe is a vernacular language
spoken mainly in Benin, by more than 50% of the
population, and a littke in Togo and in Nigeria. It’s... | Provide a detailed description of the following dataset: Fongbe Speech Dataset |
FIJO | This dataset was collected as part of the multidisciplinary project Femmes face aux défis de la transformation numérique : une étude de cas dans le secteur des assurances (Women Facing the Challenges of Digital Transformation: A Case Study in the Insurance Sector) at Université Laval, funded by the Future Skills Centre... | Provide a detailed description of the following dataset: FIJO |
FeedbackQA | [📄 Read](https://arxiv.org/abs/2204.03025)<br>
[💾 Code](https://github.com/McGill-NLP/feedbackqa)<br>
[🔗 Webpage](https://mcgill-nlp.github.io/feedbackqa/)<br>
[💻 Demo](http://206.12.100.48:8080/)<br>
[🤗 Huggingface Dataset](https://huggingface.co/datasets/McGill-NLP/feedbackQA)<br>
[💬 Discussions](https://g... | Provide a detailed description of the following dataset: FeedbackQA |
SEN12MS-CR-TS | **SEN12MS-CR-TS** is a multi-modal and multi-temporal data set for cloud removal. It contains time-series of paired and co-registered Sentinel-1 and cloudy as well as cloud-free Sentinel-2 data from European Space Agency's Copernicus mission. Each time series contains 30 cloudy and clear observations regularly sampled ... | Provide a detailed description of the following dataset: SEN12MS-CR-TS |
Human Palm and Gloves Dataset | Human Body Parts Dataset | The dataset consists of images of Human palms captured using a mobile phone. The images have been taken in a real-world scenario like holding objects or performing simple gestures. The dataset has a wide variety of variations like illumination, distances etc. It consists of images of 3 main gestures: Frontal-open palm,... | Provide a detailed description of the following dataset: Human Palm and Gloves Dataset | Human Body Parts Dataset |
Indian Number Plates Dataset | Vehicle Number Plates | English OCR Detection | This dataset is an extremely challenging set of over 20,000+ original Number plate images captured and crowdsourced from over 700+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at [Datacluster Labs](www.datacluster.ai)
**Dataset Features**
- Dataset s... | Provide a detailed description of the following dataset: Indian Number Plates Dataset | Vehicle Number Plates | English OCR Detection |
Bottles and Cups Dataset | Household Objects | This dataset consists of images of bottles and cups.
### **Introduction**
Dataset consists of images of bottle and cups captured using mobile phones in a real-world scenario. Images were captured under a wide variety of indoor lighting conditions. This dataset can be used for the detection of a wide variety of bott... | Provide a detailed description of the following dataset: Bottles and Cups Dataset | Household Objects |
Transparent Object Images | Indoor Object Dataset | This dataset is an extremely challenging set of over 3000+ original Transparent object images such as glasses and mirrors are captured and crowdsourced from over 500+ urban and rural areas, where each image is **manually reviewed and verified** by computer vision professionals at Datacluster Labs.
### **Dataset Feat... | Provide a detailed description of the following dataset: Transparent Object Images | Indoor Object Dataset |
Stairs Image Dataset | Parts of House | Indoor | This dataset is an extremely challenging set of over 3000+ originally Stair images captured and crowdsourced from over 500+ urban and rural areas, where each image is **manually reviewed and verified** by computer vision professionals at Datacluster Labs.
### **Dataset Features**
- Dataset size : 3000+
- Captu... | Provide a detailed description of the following dataset: Stairs Image Dataset | Parts of House | Indoor |
PMData | The PMData dataset aims to combine the traditional lifelogging with sports activity logging. | Provide a detailed description of the following dataset: PMData |
OrdinalDataset | It includes 10 data sets that consists of both raw data set and encoded data set where it is encoded through BERT-Sort Encoder with MLM initialization of .
In each data set folder, there are original files and encoded data sets with 4 different MLMs. For instance, bank/bank.csv is the original file for raw data set ... | Provide a detailed description of the following dataset: OrdinalDataset |
BRCA-M2C | Dataset for multi-class cell classification in breast cancer H\&E images using dot annotations . The labelled cell classes are lymphocytes, tumor or epithelial cells, and stromal cells. | Provide a detailed description of the following dataset: BRCA-M2C |
PubTabNet | PubTabNet is a large dataset for image-based table recognition, containing 568k+ images of tabular data annotated with the corresponding HTML representation of the tables. The table images are extracted from the scientific publications included in the PubMed Central Open Access Subset (commercial use collection). Table... | Provide a detailed description of the following dataset: PubTabNet |
Oximeter Image Dataset | Medical Device Reading | This dataset is an extremely challenging set of over 2000+ original Oximeter images captured and crowdsourced from over 300+ urban and rural areas, where each image is **manually reviewed and verified** by computer vision professionals at Datacluster Labs.
### **Dataset Features**
- Dataset size : 2000+
- Capt... | Provide a detailed description of the following dataset: Oximeter Image Dataset | Medical Device Reading |
ICM | ICM is curated for the image-text matching task. Each image has a corresponding caption text, which describes the image in detail. We first use CTR to select the most relevant pairs. Then, human annotators manually perform a 2nd round manual correction, obtaining 400,000 image-text pairs, including 200,000 positive cas... | Provide a detailed description of the following dataset: ICM |
IQM | IQM is curated for the image-text matching task. Each image has a corresponding search query. We first use CTR to select the most relevant pairs. In this dataset, we randomly select image-query pairs in the candidate set after performing the cleaning process, obtaining 400,000 image-text pairs, including 200,000 positi... | Provide a detailed description of the following dataset: IQM |
SWORD | The new dataset contains around 1,500 train videos and 290 test videos, with 50 frames per video on average.
The dataset was obtained after processing the manually captured video sequences of static real-life urban scenes.
The main property of the dataset is the abundance of close objects and, consequently, the large... | Provide a detailed description of the following dataset: SWORD |
PCQM4Mv2-LSC | PCQM4Mv2 is a quantum chemistry dataset originally curated under the PubChemQC project. Based on the PubChemQC, we define a meaningful ML task of predicting DFT-calculated HOMO-LUMO energy gap of molecules given their 2D molecular graphs. The HOMO-LUMO gap is one of the most practically-relevant quantum chemical proper... | Provide a detailed description of the following dataset: PCQM4Mv2-LSC |
MUSES | MUSES is a large-scale dataset for temporal event (action) localization. It focuses on the temporal localization of multi-shot events, which are captured with multiple shots. Such events often appear in edited videos, such as TV shows and movies.
What’s included in MUSES:
* 3,697 videos of TV and movie dramas
*... | Provide a detailed description of the following dataset: MUSES |
ICR | In this dataset, we collect 200,000 image-text pairs. Each image has a corresponding caption text, which describes the image in detail. It contains two subtasks:
image-to-text retrieval and text-to-image retrieval tasks. | Provide a detailed description of the following dataset: ICR |
IQR | IQR is proposed for the image-text retrieval task. We use 200,000 queries and the corresponding images as the annotated image-query pairs. | Provide a detailed description of the following dataset: IQR |
Flickr30k-CNA | Former Flickr30k-CN translates the training and validation sets of Flickr30k using machine translation and manually translates the test set. We check the machine-translated results and find two kinds of problems. (1) Some sentences have language problems and translation errors. (2) Some sentences have poor semantics. I... | Provide a detailed description of the following dataset: Flickr30k-CNA |
OUMVLP | The OU-ISIR Gait Database, Multi-View Large Population Dataset (OU-MVLP) is meant to aid research efforts in the general area of developing, testing and evaluating algorithms for cross-view gait recognition. The Institute of Scientific and Industrial Research (ISIR), Osaka University (OU) has copyright in the collectio... | Provide a detailed description of the following dataset: OUMVLP |
Mars Sample Localization | It contains grayscale mono and stereo images (NavCam and LocCam) from laboratory tests performed by a prototype rover on a martian-like testbed. The dataset can be used for artificial sample-tube detection and pose estimation. It also contains synthetic color images of the sample tube on a martian scenario created wit... | Provide a detailed description of the following dataset: Mars Sample Localization |
MUStARD++ | **MUStARD++** is a multimodal sarcasm detection dataset (MUStARD) pre-annotated with 9 emotions. It can be used for the task of detecting the emotion in a sarcastic statement. | Provide a detailed description of the following dataset: MUStARD++ |
Data for paper "Zone extrapolations in parametric timed automata" | Contains the current version of IMITATOR, all models and necessary scripts to reproduce all experiments on the benchmarks set. | Provide a detailed description of the following dataset: Data for paper "Zone extrapolations in parametric timed automata" |
Bike and Car Odometer Dataset ! Speedometer OCR | This dataset consists of odometer or speedometer images of bike and car vehicles.
### **Introduction**
This dataset can be used to detect or recognize odometer readings of the vehicles. Moreover, it can be used to classify the make of the car and bikes. The usecases can in the domain of insurance, repair and OCR.
... | Provide a detailed description of the following dataset: Bike and Car Odometer Dataset ! Speedometer OCR |
Mobile Phone Dataset | Smartphone & Feature Phone | ### **This dataset is collected by DataCluster Labs, India. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: [sales@datacluster.ai](mailto:sales@datacluster.ai)**
This dataset is an extremely challenging set of over 3000+ original Mobile Phone images cap... | Provide a detailed description of the following dataset: Mobile Phone Dataset | Smartphone & Feature Phone |
Real world moire pattern classification | This dataset consists of two categories. Real world images and spoof images(Captured from Screen) which shows moire patterns.
### **Introduction**
This dataset can be used to classify real world images and images captured from laptop, mobile phones or TV. The spoof images shows the moire pattern which can help dete... | Provide a detailed description of the following dataset: Real world moire pattern classification |
Indian Food Image Dataset | This dataset is an extremely challenging set of over 5000+ original India food images captured and crowdsourced from over 800+ urban and rural areas, where each image is **manually reviewed and verified** by computer vision professionals at ****DC Labs.
### **Dataset Features**
- Dataset size : 5000+
- Capture... | Provide a detailed description of the following dataset: Indian Food Image Dataset |
Suitcase/Luggage Dataset Indoor Object Image | This dataset is an extremely challenging set of over 7000+ original Suitcase/Luggage images captured and crowdsourced from over 800+ urban and rural areas, where each image is **manually reviewed and verified** by computer vision professionals at ****DC Labs.
### **Dataset Features**
- Dataset size : 6000+
- C... | Provide a detailed description of the following dataset: Suitcase/Luggage Dataset Indoor Object Image |
Capture-24 | This dataset contains Axivity AX3 wrist-worn activity tracker data that were collected from 151 participants in 2014-2016 around the Oxfordshire area. Participants were asked to wear the device in daily living for a period of roughly 24 hours, amounting to a total of almost 4,000 hours. Vicon Autograph wearable cameras... | Provide a detailed description of the following dataset: Capture-24 |
satp-zsm-stage1 | This is the replication data for the paper: "Crossing the Linguistic Causeway: A Binational Approach for Translating Soundscape Attributes to Bahasa Melayu".
* contains survey responses to a quantitative evaluation survey adopted from [Watcharasupat et al., 2022](https://doi.org/10.48550/arXiv.2203.12245) | Provide a detailed description of the following dataset: satp-zsm-stage1 |
GlassTemp | The GlassTemp dataset is collected from [Polyinfo](https://polymer.nims.go.jp/en/). It uses monomers as polymer graphs to predict the property of glass transition temperature. The glass transition temperature of the material itself denotes the temperature range over which this glass transition takes place. | Provide a detailed description of the following dataset: GlassTemp |
MeltingTemp | The MeltingTemp dataset is collected from [Polyinfo](https://polymer.nims.go.jp/en/). It uses monomers as polymer graphs to predict the property of polymer melting temperature. | Provide a detailed description of the following dataset: MeltingTemp |
PolyDensity | The PolyDensity is collected from [Polyinfo](https://polymer.nims.go.jp/en/). It uses monomers as polymer graphs to predict the property of polymer density. | Provide a detailed description of the following dataset: PolyDensity |
$O_2$Perm | The $O_2$Perm dataset is created from the [Membrane Society of Australasia portal](https://membrane-australasia.org/msa-activities/polymer-gas-separation-membrane-database/). It uses monomers as polymer graphs to predict the property of oxygen permeability. It has he limited size (595 polymers), which brings great chal... | Provide a detailed description of the following dataset: $O_2$Perm |
Replication Data for: The elastic origins of tail asymmetry | Dataset and Stata codes for replicating Tables 1, 3 and Figures 1-4. | Provide a detailed description of the following dataset: Replication Data for: The elastic origins of tail asymmetry |
Motion Blurred and Defocused Dataset | This dataset consists of blurred, noisy and defocused images.
### **Introduction**
Dataset consists of blurred images captured using mobile phones in real-world scenario. Images were captured under wide variety of lighting conditions, weather, indoor and outdoor. This dataset can be used for Image De-noising, Deblu... | Provide a detailed description of the following dataset: Motion Blurred and Defocused Dataset |
Masks Dataset | Unattended Mask Images | This dataset is an extremely challenging set of over 7000+ original Masks images captured and crowdsourced from over 1200+ urban and rural areas, where each image is **manually reviewed and verified** by computer vision professionals at ****DC Labs.
### **Dataset Features**
- Dataset size : 7000+
- Captured by... | Provide a detailed description of the following dataset: Masks Dataset | Unattended Mask Images |
Italian Crime News | The dataset contains the main components of the news articles published online by the newspaper named <a href="https://gazzettadimodena.gelocal.it/modena">Gazzetta di Modena</a>: url of the web page, title, sub-title, text, date of publication, crime category assigned to each news article by the author.
The news art... | Provide a detailed description of the following dataset: Italian Crime News |
Parkinson Speech Dataset with Multiple Types of Sound Recordings Data Set | The PD database consists of training and test files. The training data belongs to 20 PWP (6 female, 14 male) and 20 healthy individuals (10 female, 10 male) who appealed at the Department of Neurology in Cerrahpasa Faculty of Medicine, Istanbul University. From all subjects, multiple types of sound recordings (26 voice... | Provide a detailed description of the following dataset: Parkinson Speech Dataset with Multiple Types of Sound Recordings Data Set |
Memento10k | Memorability dataset with 10000 3-second videos. Each video has upwards of 90 human annotations, and the split-half consistency of this dataset is 0.73 (best in class for video memorabilty datasets). | Provide a detailed description of the following dataset: Memento10k |
The manifest and store data of 870,515 Android mobile applications | Involves a crawler to collect data from the Google Play store including the application's metadata and APK files. The manifest files were extracted from the APK files and then processed to extract the features. The data set is composed of 870,515 records/apps, and for each app we produced 48 features. The data set was ... | Provide a detailed description of the following dataset: The manifest and store data of 870,515 Android mobile applications |
CellTypeGraph Benchmark | Classifying all cells in an organ is a relevant and difficult problem from plant developmental biology. We here abstract the problem into a new benchmark for node classification in a geo-referenced graph. Solving it requires learning the spatial layout of the organ including symmetries.
To allow the convenient testin... | Provide a detailed description of the following dataset: CellTypeGraph Benchmark |
2BallEllsbergData | Two Ball Ellsberg Paradox: Representative US Data. You can find all the Stata code for data analysis, including commented lines, explanations and step-by-step implementation of ORIV. | Provide a detailed description of the following dataset: 2BallEllsbergData |
ProsocialDialog | Most existing dialogue systems fail to respond properly to potentially unsafe user utterances by either ignoring or passively agreeing with them.
To address this issue, we introduce **ProsocialDialog**, the first large-scale multi-turn dialogue dataset to teach conversational agents to respond to problematic conten... | Provide a detailed description of the following dataset: ProsocialDialog |
BinaryCorp | BinaryCorp is built for binary similarity detection based on the ArchLinux official repositories and Arch User Repository. BinaryCorp contains tens of thousands of software, including editors, instant messenger, HTTP server, web browser, compiler, graphics library, cryptographic library, etc. The binary code similarit... | Provide a detailed description of the following dataset: BinaryCorp |
Chilean Waiting List | The Chilean Waiting List corpus comprises de-identified referrals from the waiting list in Chilean public hospitals. A subset of 10,000 referrals (including medical
and dental notes) was manually annotated with ten entity types with clinical relevance, keeping 1,000 annotations for a future shared task. A trained medi... | Provide a detailed description of the following dataset: Chilean Waiting List |
Indian Signboard Image Dataset | Text in Image | ### **Introduction**
The dataset consists of Indian traffic signs images for classification and detection. The images have been taken in varied weather conditions in daylight, evening and nights. The dataset has a wide variety of variations of illumination, distances, view points etc. This dataset represents a very ch... | Provide a detailed description of the following dataset: Indian Signboard Image Dataset | Text in Image |
Human Wrist Image Dataset | Human Body Parts | This dataset consists of images of wrist (with different kind of bands on it).
### **Introduction**
Dataset consists of images of wrist captured using mobile phones in real-world scenario. Images were captured under wide variety of lighting conditions, weather, indoor and outdoor. This dataset can be used for Augme... | Provide a detailed description of the following dataset: Human Wrist Image Dataset | Human Body Parts |
Cracked Mobile Screen Dataset | This dataset consists of images of Cracked screen like cracked mobile screen.
### **Introduction**
The dataset consists of images of cracked screens. This dataset covers different types of damages to the screen of mobile phones. The images were captured under a variety of illumination, distances, viewpoints, etc. T... | Provide a detailed description of the following dataset: Cracked Mobile Screen Dataset |
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