dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
Azure Functions Trace 2019 | This is a set of files representing part of the workload of Microsoft's Azure Functions offering, collected in July of 2019. This dataset is a subset of the data described in, and analyzed, in the USENIX ATC 2020 paper 'Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provi... | Provide a detailed description of the following dataset: Azure Functions Trace 2019 |
MuCeD | MuCeD, a dataset that is carefully curated and validated by expert pathologists from the All India Institute of Medical Science (AIIMS), Delhi, India. The H&E-stained histopathology images of the human duodenum in MuCeD are captured through an Olympus BX50 microscope at 20x zoom using a DP26 camera with each image bei... | Provide a detailed description of the following dataset: MuCeD |
Deep PCB | ### DeepPCB
* [Dataset Link](https://github.com/tangsanli5201/DeepPCB) :
* A dataset contains 1,500 image pairs, each of which consists of a defect-free template image and an aligned tested image with annotations including positions of 6 most common types of PCB defects: open, short, mousebite, spur, pin hole, and ... | Provide a detailed description of the following dataset: Deep PCB |
Cityscapes 3D | Detecting vehicles and representing their position and orientation in the three dimensional space is a key technology for autonomous driving. Recently, methods for 3D vehicle detection solely based on monocular RGB images gained popularity. In order to facilitate this task as well as to compare and drive state-of-the-a... | Provide a detailed description of the following dataset: Cityscapes 3D |
Classical conditioning | The paper introduces three benchmarking tasks inspired by animal learning. | Provide a detailed description of the following dataset: Classical conditioning |
Customer Support on Twitter | The Customer Support on Twitter dataset is a large, modern corpus of tweets and replies to aid innovation in natural language understanding and conversational models, and for study of modern customer support practices and impact. | Provide a detailed description of the following dataset: Customer Support on Twitter |
EgoTV | **EgoTV** dataset consists of (task description, video) pairs with positive on negative task verification labels. By combining the six sub-tasks heat, clean, slice, cool, put, pick with different ordering constraints, there are 82 tasks for EgoTV. Tasks are instantiated with 130 target objects (excluding visual variati... | Provide a detailed description of the following dataset: EgoTV |
Statcan Dialogue Dataset | > **[The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents](https://arxiv.org/abs/2304.01412)**
>
> *[Xing Han Lu](https://xinghanlu.com), [Siva Reddy](https://sivareddy.in), [Harm de Vries](https://www.harmdevries.com/)*
>
> EACL 2023
| | | | | |
| :--: | :--: | :--: |... | Provide a detailed description of the following dataset: Statcan Dialogue Dataset |
SemanticSTF | **SemanticSTF** is an adverse-weather point cloud dataset that provides dense point-level annotations and allows to study 3DSS under various adverse weather conditions. It contains 2,076 scans captured by a Velodyne HDL64 S3D LiDAR sensor from STF that cover various adverse weather conditions including 694 snowy, 637 ... | Provide a detailed description of the following dataset: SemanticSTF |
AQL-22 | The Archive Query Log (AQL) is a previously unused, comprehensive query log collected at the Internet Archive over the last 25 years. Its first version includes 356 million queries, 166 million search result pages, and 1.7 billion search results across 550 search providers. Although many query logs have been studied in... | Provide a detailed description of the following dataset: AQL-22 |
SportsPose | Accurate 3D human pose estimation is essential for sports analytics, coaching, and injury prevention. However, existing datasets for monocular pose estimation do not adequately capture the challenging and dynamic nature of sports movements. In response, we introduce SportsPose, a large-scale 3D human pose dataset consi... | Provide a detailed description of the following dataset: SportsPose |
Doctor-patient questions (French) | These are the test and training data used for experiments presented in BioNLP 2017.
## Licence
The data are only aimed for research, educational and non-commercial purposes.
## How to cite
If you use these data, please cite our contribution to BioNLP 2017 as follows:
[Automatic classification of docto... | Provide a detailed description of the following dataset: Doctor-patient questions (French) |
Extended Agriculture-Vision | Extended Agriculture-Vision dataset comprises two parts:
1. An improved version of the Agriculture-Vision dataset, including full-field farmland imagery, encourages the exploration of geo-information on a larger scale.
2. Over three terabytes of high-resolution raw images across the US, aiming to inspire research... | Provide a detailed description of the following dataset: Extended Agriculture-Vision |
AeBAD | Unlike previous datasets that focus on detecting the diversity of defect categories (like MVTec AD and VisA), AeBAD is centered on the diversity of domains within the same data category.
The aim of AeBAD is to automatically detect abnormalities in the blades of aero-engines, ensuring their stable operation. AeBAD co... | Provide a detailed description of the following dataset: AeBAD |
Snow100K | The **Snow100K** dataset consists of
1) 100k synthesized snowy images
2) corresponding snow-free ground truth images
3) snow masks
4) 1,329 realistic snowy images
The images of 2) and 4) were downloaded via the Flickr api, and were manually divided into snow and snow-free categories, respectively. In ad... | Provide a detailed description of the following dataset: Snow100K |
SRRS | **SRRS (Snow Removal in Realistic Scenario)** contains 15000 synthesized snow images and 1000 snow images in real scenarios downloaded from the Internet. | Provide a detailed description of the following dataset: SRRS |
PINet | We propose a new light field image database called “PINet” inheriting the hierarchical structure from WordNet. It consists of 7549 LIs captured by Lytro Illum, which is much larger than the existing databases. The images are manually annotated to 178 categories according to WordNet, such as cat, camel, bottle, fans, et... | Provide a detailed description of the following dataset: PINet |
Human-Art | Human-Art is a versatile human-centric dataset to bridge the gap between natural and artificial scenes. It includes twenty high-quality human scenes, including natural and artificial humans in both 2D representation and 3D representation. It includes 50,000 images including more than 123,000 human figures in 20 scenari... | Provide a detailed description of the following dataset: Human-Art |
SCB-dataset | **Student Classroom Behavior dataset (SCB-dataset)** reflects real-life scenarios. The dataset includes 11,248 labels and 4,003 images, with a focus on handraising behavior. | Provide a detailed description of the following dataset: SCB-dataset |
MoocRadar | **MoocRadar** is a fine-grained and multiaspect knowledge repository that consists of 2,513 exercises, 5,600 concepts, and 14,224 students’ 12,715,126 behavioral records for improving cognitive student modeling in MOOCs. | Provide a detailed description of the following dataset: MoocRadar |
SA-1B | **SA-1B** consists of 11M diverse, high resolution, licensed, and privacy protecting images and 1.1B high-quality segmentation masks. | Provide a detailed description of the following dataset: SA-1B |
A Large Scale Fish Dataset | This dataset contains 9 different seafood types collected from a supermarket in Izmir, Turkey
for a university-industry collaboration project at Izmir University of Economics, and this work
was published in ASYU 2020.
The dataset includes gilt head bream, red sea bream, sea bass, red mullet, horse mackerel,
black s... | Provide a detailed description of the following dataset: A Large Scale Fish Dataset |
Large COVID-19 CT scan slice dataset | "We built a large lung CT scan dataset for COVID-19 by curating data from 7 public datasets listed in the acknowledgements. These datasets have been publicly used in COVID-19 diagnosis literature and proven their efficiency in deep learning applications. Therefore, the merged dataset is expected to improve the generali... | Provide a detailed description of the following dataset: Large COVID-19 CT scan slice dataset |
Pathfinder-X2 | Pathfinder and Pathfinder-X have proven to be instrumental in training and testing Large Language Models with long-range dependencies.
Recently, Meta's Moving Average Equipped Gated Attention model scored a 97% on the Pathfinder-X dataset, indicating a need for a larger,
more challenging dataset. Whereas Pathfinder-... | Provide a detailed description of the following dataset: Pathfinder-X2 |
PKU (License Plate Detection) | The PKU dataset has almost 4,000 images categorized into five groups (G1-G5) that show different situations. For example, G1 has images of highways during the day with only one car in them. On the other hand, G5 has images of crosswalks during the day or at night with multiple cars and license plates (LPs).
It can b... | Provide a detailed description of the following dataset: PKU (License Plate Detection) |
Word Analogy Bangla | We provide a Mikolov-style word-analogy evaluation set specifically for Bangla, with a sample size of 16678, as well as a translated and curated version of the Mikolov dataset, which contains 10594 samples for cross-lingual research. | Provide a detailed description of the following dataset: Word Analogy Bangla |
Bangla Word Analogy | We provide a Mikolov-style word-analogy evaluation set specifically for Bangla, with a sample size of 16678, as well as a translated and curated version of the Mikolov dataset, which contains 10594 samples for cross-lingual research. | Provide a detailed description of the following dataset: Bangla Word Analogy |
RoboPianist | **RoboPianist** is a benchmarking suite for high-dimensional control, targeted at testing high spatial and temporal precision, coordination, and planning, all with an underactuated system frequently making-and-breaking contacts. The proposed challenge is mastering the piano through bi-manual dexterity, using a pair of ... | Provide a detailed description of the following dataset: RoboPianist |
WebBrain-Raw | **WebBrain-Raw** is a large-scale dataset built from English Wikipedia articles and their crawlable Wikipedia references. It comprises 153 zipped data chunks in which each line is a Wikipedia page with its reference articles. | Provide a detailed description of the following dataset: WebBrain-Raw |
Dress Code | Dress Code is a new dataset for image-based virtual try-on composed of image pairs coming from different catalogs of YOOX NET-A-PORTER.
The dataset contains more than 50k high resolution model clothing images pairs divided into three different categories (i.e. dresses, upper-body clothes, lower-body clothes). | Provide a detailed description of the following dataset: Dress Code |
IAW Dataset | The IAW dataset contains 420 Ikea furniture pieces from 14 common categories e.g. sofa, bed, wardrobe, table, etc. Each piece of furniture comes with one or more user instruction manuals, which are first divided into pages and then further divided into independent steps cropped from each page (some pages contain more t... | Provide a detailed description of the following dataset: IAW Dataset |
WEAR | WEAR is an outdoor sports dataset for both vision- and inertial-based human activity recognition (HAR). The dataset comprises data from 18 participants performing a total of 18 different workout activities with untrimmed inertial (acceleration) and camera (egocentric video) data recorded at 10 different outside locatio... | Provide a detailed description of the following dataset: WEAR |
HRS-Bench | **HRS-Bench** is a concrete evaluation benchmark for T2I models that is Holistic, Reliable, and Scalable. It measures 13 skills that can be categorized into five major categories: accuracy, robustness, generalization, fairness, and bias. In addition, HRS-Bench covers 50 scenarios, including fashion, animals, transporta... | Provide a detailed description of the following dataset: HRS-Bench |
1QIsaa data collection | This data set is collected for the ERC project:
The Hands that Wrote the Bible: Digital Palaeography and Scribal Culture of the Dead Sea Scrolls
PI: Mladen Popović
Grant agreement ID: 640497
Project website: https://cordis.europa.eu/project/id/640497 | Provide a detailed description of the following dataset: 1QIsaa data collection |
BalitaNLP | A Filipino multi-modal language dataset for image-conditional language generation and text-conditional image generation. Consists of 351,755 Filipino news articles gathered from Filipino news outlets.
Each entry contains:
* body - Article text
* title - Article title
* website - Name of the news outlet
* categ... | Provide a detailed description of the following dataset: BalitaNLP |
ImageNet-Hard | ImageNet-Hard is a new benchmark that comprises 10,980 images collected from various existing ImageNet-scale benchmarks (ImageNet, ImageNet-V2, ImageNet-Sketch, ImageNet-C, ImageNet-R, ImageNet-ReaL, ImageNet-A, and ObjectNet). This dataset poses a significant challenge to state-of-the-art vision models as merely zoomi... | Provide a detailed description of the following dataset: ImageNet-Hard |
LSSED | LSSED, a challenging large-scale english dataset for speech emotion recognition. It contains 147,025 sentences (206 hours and 25 minutes in total) spoken by 820 people. Each segment is annotated for the presence of 11 emotions (angry, neutral, fear, happy, sad, disappointed, bored, disgusted, excited, surprised, fear a... | Provide a detailed description of the following dataset: LSSED |
PIQ23 | Year after year, the demand for ever-better smartphone photos continues to grow, in particular in the domain of portrait photography. Manufacturers thus use perceptual quality criteria throughout the development of smartphone cameras. This costly procedure can be partially replaced by automated learning-based methods f... | Provide a detailed description of the following dataset: PIQ23 |
FewDR | **FewDR** is a dataset for Few-shot dense retrieval (DR). FewDR aims to effectively generalize to novel search scenarios by learning a few samples. Specifically, FewDR employs class-wise sampling to establish a standardized "few-shot" setting with finely-defined classes, reducing variability in multiple sampling rounds... | Provide a detailed description of the following dataset: FewDR |
InterHuman | **InterHuman** is a multimodal dataset, named InterHuman. It consists of about 107M frames for diverse two-person interactions, with accurate skeletal motions and 16,756 natural language descriptions. | Provide a detailed description of the following dataset: InterHuman |
DALES | We present the Dayton Annotated LiDAR Earth Scan (DALES) data set, a new large-scale aerial LiDAR data set with over a half-billion hand-labeled points spanning 10 square kilometers of area and eight object categories. Large annotated point cloud data sets have become the standard for evaluating deep learning methods. ... | Provide a detailed description of the following dataset: DALES |
RoboBEV | RoboBEV is a robustness evaluation benchmark tailored for camera-based bird's eye view (BEV) perception under natural data corruptions and domain shift. It includes eight distinct corruptions, including Bright, Dark, Fog, Snow, Motion Blur, Color Quant, Camera Crash, and Frame Lost. | Provide a detailed description of the following dataset: RoboBEV |
Databricks Dolly 15k | **Databricks Dolly 15k** is a dataset containing 15,000 high-quality human-generated prompt / response pairs specifically designed for instruction tuning large language models. It is authored by more than 5,000 Databricks employees during March and April of 2023. The training records are natural, expressive and designe... | Provide a detailed description of the following dataset: Databricks Dolly 15k |
Amateur Drawings | **Amateur Drawings** is a dataset collected via the public demo of Animated Drawings, containing over 178,000 amateur drawings and corresponding user-accepted character bounding boxes, segmentation masks, and joint location annotations. | Provide a detailed description of the following dataset: Amateur Drawings |
Youtube INRIA Instructional | We address the problem of automatically learning the main steps to complete a certain task, such as changing a car tire, from a set of narrated instruction videos. The contributions of this paper are three-fold. First, we develop a new unsupervised learning approach that takes advantage of the complementary nature of t... | Provide a detailed description of the following dataset: Youtube INRIA Instructional |
Five-Billion-Pixels | The Five-Billion-Pixels dataset contains more than 5 billion labeled pixels of 150 high-resolution Gaofen-2 (4 m) satellite images, annotated in a 24-category system covering artificial-constructed, agricultural, and natural classes. It possesses the advantage of rich categories, large coverage, wide distribution, and ... | Provide a detailed description of the following dataset: Five-Billion-Pixels |
FollowMe Vehicle Behaviour Prediction Dataset | This dataset is a result of a study that was created to assess drivers behaviors when following a lead vehicle. The driving simulator study used a simulated suburban environment for collecting driver behavior data while following a lead vehicle driving through various unsignalized intersections. The driving environment... | Provide a detailed description of the following dataset: FollowMe Vehicle Behaviour Prediction Dataset |
BURST | BURST is a benchmark suite built upon TAO that requires tracking and segmenting multiple objects from camera video. The benchmark contains 6 different sub-tasks divided into 2 groups that all share the same data for training/validation/testing.
##### Class-guided
1. **Common:** Track and segment all objects belon... | Provide a detailed description of the following dataset: BURST |
LaSCo | Large Scale Composed Image Retrieval (LaSCo) is a new dataset for Composed Image Retrieval (CoIR), x10 times larger than current ones. | Provide a detailed description of the following dataset: LaSCo |
3D Ken Burns | This dataset accompanies our paper on synthesizing the 3D Ken Burns effect from a single image. It consists of 134041 captures from 32 virtual environments where each capture consists of 4 views. Each view contains color-, depth-, and normal-maps at a resolution of 512x512 pixels. | Provide a detailed description of the following dataset: 3D Ken Burns |
LLCM | LLCM (Low-Light Cross-Modality) dataset is constructed to facilitate the study of low-light cross-modality person Re-ID task. It contains 46,767 person images of 1,064 identities, and each identity is captured by at least one RGB camera and one IR camera. The LLCM dataset is divided into a training set and a testing se... | Provide a detailed description of the following dataset: LLCM |
L1BSR | The Sentinel-2 satellite carries 12 CMOS detectors for the VNIR bands, with adjacent detectors having overlapping fields of view that result in overlapping regions in level-1 B (L1B) images. This dataset includes 3740 pairs of overlapping image crops extracted from two L1B products. Each crop has a height of around 400... | Provide a detailed description of the following dataset: L1BSR |
PGDataset | PGDataset (Profile Generation Dataset) is a dataset created for the PGTask (Profile Generation Task), where the goal is to extract/generate a profile sentence given a dialogue utterance. | Provide a detailed description of the following dataset: PGDataset |
RADIOML 2018.01A | **RADIOML 2018.01A** is a dataset which includes both synthetic simulated channel effects of 24 digital and analog modulation types which has been validated. | Provide a detailed description of the following dataset: RADIOML 2018.01A |
MMC4 | **Multimodal C4 (MMC4)** is an augmentation of the popular text-only c4 corpus with images interleaved. The corpus contains 103M documents containing 585M images interleaved with 43B English tokens. | Provide a detailed description of the following dataset: MMC4 |
MILAN Sky Survey | During the MILAN research project (MachIne Learning for AstroNomy), the research team uses Stellina observation stations to collect raw images of deep sky objects.
Thus, the research team built a dataset that represents what can be obtained during classical Electronically Assisted Astronomy sessions in the Luxembourg... | Provide a detailed description of the following dataset: MILAN Sky Survey |
LayoutBench | LayoutBench is a diagnostic benchmark that examines 4 spatial control skills (number, position, size, shape), where each skill consists of 2 OOD layout splits, i.e., in total 8 tasks = 4 skills x 2 splits. To disentangle spatial control from other aspects of image generation, such as generating diverse objects, LayoutB... | Provide a detailed description of the following dataset: LayoutBench |
wildlight | Multi-view image dataset of seven objects under indoor lighting, for the purpose of multi-view 3D reconstruction and inverse rendering. Around half images are taken under indoor environment lighting only, and the other half are also under a flashlight co-located with camera centre. The co-located flashlight images are ... | Provide a detailed description of the following dataset: wildlight |
XWikiRef | We provide a new data set XWikiRef for the task of Cross-lingual Multi-document Summarization. This task aims at generating Wikipedia style text in Low Resource languages by taking reference text as input. Overall, the data set contains 8 different languages: bengali (bn), english (en), hindi (hi), marathi (mr), malaya... | Provide a detailed description of the following dataset: XWikiRef |
SuHiFiMask | **SuHiFiMask (Surveillance High-Fidelity Mask)** extends FAS to real surveillance scenes rather than mimicking low-resolution images and surveillance environments. It contains 10,195 videos from 101 subjects of different age groups, which are collected by 7 mainstream surveillance cameras. | Provide a detailed description of the following dataset: SuHiFiMask |
LongForm | **LongForm** dataset is created by leveraging English corpus examples with augmented instructions. It contains diverse set of human-written documents from existing corpora such as C4 and Wikipedia and generate instructions for the given documents via LLMs. The examples generated from raw text corpora via LLMs includes ... | Provide a detailed description of the following dataset: LongForm |
YIM Dataset | An instance segmentation dataset of yeast cells in microstructures. The dataset includes 493 densely annotated microscopy images. For more information see the paper "An Instance Segmentation Dataset of Yeast Cells in Microstructures". | Provide a detailed description of the following dataset: YIM Dataset |
Trajectory calibration experiments | Data and experiments for motion-based extrinsic calibration using [trajectory_calibration]. The data was generated for evaluating hand-eye calibration algorithms in extrinsic sensor-to-sensor calibration.
The repository is organised as follows:
```
├── calib
│ └── *.csv # The output calibration values
├── k... | Provide a detailed description of the following dataset: Trajectory calibration experiments |
Brazilian E-Commerce Public Dataset by Olist | See https://www.kaggle.com/datasets/olistbr/brazilian-ecommerce . | Provide a detailed description of the following dataset: Brazilian E-Commerce Public Dataset by Olist |
SentNoB | Social Media User Sentiment Analysis Dataset. Each user comments are labeled with either positive (1), negative (2), or neutral (0). | Provide a detailed description of the following dataset: SentNoB |
iiwa Robotic Arm Reconstruction Dataset | Please see our website and code repository for detailed description. | Provide a detailed description of the following dataset: iiwa Robotic Arm Reconstruction Dataset |
MasakhaNEWS | **MasakhaNEWS** is a benchmark dataset for news topic classification covering 16 languages widely spoken in Africa. | Provide a detailed description of the following dataset: MasakhaNEWS |
CKBP v2 | **CKBP v2** is a new CSKB Population benchmark, which addresses the two mentioned problems by using experts instead of crowd-sourced annotation and by adding diversified adversarial samples to make the evaluation set more representative. | Provide a detailed description of the following dataset: CKBP v2 |
FLAIR (French Land cover from Aerospace ImageRy) | The French National Institute of Geographical and Forest Information (IGN) has the mission to document and measure land-cover on French territory and provides referential geographical datasets, including high-resolution aerial images and topographic maps. The monitoring of land-cover plays a crucial role in land manage... | Provide a detailed description of the following dataset: FLAIR (French Land cover from Aerospace ImageRy) |
MLRegTest | MLRegTest is a benchmark for sequence classification, containing training, development, and test sets from 1,800 regular languages. Regular languages are formal languages, which are sets of sequences definable with certain kinds of formal grammars, including regular expressions, finite-state acceptors, and monadic seco... | Provide a detailed description of the following dataset: MLRegTest |
EmoNoBa | Detecting Multi-labeled Emotion for 6 emotion categories, namely Love, Joy, Surprise, Anger, Sadness, Fear. | Provide a detailed description of the following dataset: EmoNoBa |
Wikipedia Math Essentials | Contains Wikipedia pages about popular mathematics topics and edges describe the links from one page to another. Features describe the number of daily visits between 2019 and 2021 March. | Provide a detailed description of the following dataset: Wikipedia Math Essentials |
MIMIC-IV ICD-9 | MIMIC-IV ICD-9 contains 209,326 discharge summaries—free-text medical documents—annotated with ICD-9 diagnosis and procedure codes. It contains data for patients admitted to the Beth Israel Deaconess Medical Center emergency department or ICU between 2008-2019. All codes with fewer than ten examples have been removed, ... | Provide a detailed description of the following dataset: MIMIC-IV ICD-9 |
MIMIC-IV ICD-10 | MIMIC-IV ICD-10 contains 122,279 discharge summaries—free-text medical documents—annotated with ICD-10 diagnosis and procedure codes. It contains data for patients admitted to the Beth Israel Deaconess Medical Center emergency department or ICU between 2008-2019. All codes with fewer than ten examples have been removed... | Provide a detailed description of the following dataset: MIMIC-IV ICD-10 |
FireRisk | In this work, we propose a novel remote sensing dataset, FireRisk, consisting of 7 fire risk classes with a total of 91 872 labelled images for fire risk assessment. This remote sensing dataset is labelled with the fire risk classes supplied by the Wildfire Hazard Potential (WHP) raster dataset, and remote sensing imag... | Provide a detailed description of the following dataset: FireRisk |
WikiDetox | An annotated dataset of 1m crowd-sourced annotations that cover 100k talk page diffs (with 10 judgements per diff) for personal attacks, aggression, and toxicity. | Provide a detailed description of the following dataset: WikiDetox |
KnowledJe | We introduce KnowledJe, an English-language knowledge graph of antisemitic history and language from the 20th century to the present. Structured as a JSON file, KnowledJe currently contains 618 entries, which consist of 210 event names, 137 place names, 95 person names, 80 dates (years), 38 publication names, 27 organi... | Provide a detailed description of the following dataset: KnowledJe |
EchoKG | Echo Corpus (Arviv et al, 2021) infused with information from KnowledJe (Halevy, 2023). Algorithm detailed in Algorithm 1 in Section 3.2 of Halevy (2023) (https://arxiv.org/pdf/2304.11223.pdf). 4,630 total tweet samples, 380 labeled as antisemitic hate speech. Files included in https://github.com/enscma2/knowledje and ... | Provide a detailed description of the following dataset: EchoKG |
Echo Corpus | A large dataset of over 18,000,000 English tweets posted by ∼7K echo users was constructed in the following manner:
1. **Base Corpus** We have obtained access to a random sample of 10% of all public tweets posted in May and June 2016 – the peak use of the echo.
2. **Raw Echo Corpus** Searching the base corpus, we ext... | Provide a detailed description of the following dataset: Echo Corpus |
MJFF Levodopa Response Study | The data generated from this study are grouped into 3 main types: (1) participant demographic and clinical data, (2) sensor data from the different devices, as well as clinical scores and metadata related to the tasks performed, and (3) participant diaries collected during the in-clinic and at-home phases of the study.... | Provide a detailed description of the following dataset: MJFF Levodopa Response Study |
Comment quality assessment papers | A list of all proceedings retrieved from the two-stage keyword (key first, key second in the csv file) filtering approach and the list of all evaluated and reviewed papers by four authors to identify the relevant papers. | Provide a detailed description of the following dataset: Comment quality assessment papers |
Code comments in Java, Python, and Pharo | It contains the dataset of class comments extracted from various projects of three programming languages Java, Pharo, and Python | Provide a detailed description of the following dataset: Code comments in Java, Python, and Pharo |
Dataset for analyzing the impact of gamification in software testing education | Data collected for the controlled experiment performed to analyze whether gamification can help in software testing education. The results are reported in "Can gamification help in software testing education? Findings from an empirical study" (DOI: 10.1016/j.jss.2023.111647). | Provide a detailed description of the following dataset: Dataset for analyzing the impact of gamification in software testing education |
CDS2K | **CDS2K** is a benchmark for Concealed scene understanding (CSU), which is a hot computer vision topic aiming to perceive objects with camouflaged properties. It is a concealed defect segmentation dataset from the five well-known defect segmentation databases. It contains five sub-databases: MVTecAD, NEU, CrackForest, ... | Provide a detailed description of the following dataset: CDS2K |
UCF101-DS | Existing benchmark datasets in real-world distribution shifts are generally synthetically generated via augmentations to simulate real-world shifts such as weather and camera rotation. The UCF101-DS dataset consists of real-world distribution shifts from user-generated videos without synthetic augmentation. It has vide... | Provide a detailed description of the following dataset: UCF101-DS |
LibriS2S | LibriS2S is a Speech to Speech Translation (S2ST) dataset build further upon existing resources. The dataset provides English-German speech and text quadruplets ranging just over 50 hours for both languages. | Provide a detailed description of the following dataset: LibriS2S |
MMCU | We propose a test to measure the multitask accuracy of large Chinese language models. We constructed a large-scale, multi-task test consisting of single and multiple-choice questions from various branches of knowledge. The test encompasses the fields of medicine, law, psychology, and education, with medicine divided in... | Provide a detailed description of the following dataset: MMCU |
New Plant Diseases Dataset | This dataset is recreated using offline augmentation from the original dataset. The original dataset can be found on this github repo. This dataset consists of about 87K rgb images of healthy and diseased crop leaves which is categorized into 38 different classes. The total dataset is divided into 80/20 ratio of traini... | Provide a detailed description of the following dataset: New Plant Diseases Dataset |
vReLoc | A total of 18 sequences were collected of various lengths. Since the Velodyne LiDAR, RealSense camera and Vicon motion tracker system run in different frequencies, we synchronized these systems so that the image and LiDAR in each timestamp has the same 6-DoF pose. For the static scenario, there are no moving objects in... | Provide a detailed description of the following dataset: vReLoc |
DBP1M FR-EN | A large-scale cross-lingual dataset for entity alignment | Provide a detailed description of the following dataset: DBP1M FR-EN |
IMUPoser | The **IMUPoser** Dataset is a dataset for estimating body pose using IMUs already in devices that many users own -- namely smartphones, smartwatches, and earbuds. | Provide a detailed description of the following dataset: IMUPoser |
EasyPortrait | We introduce a large-scale image dataset **EasyPortrait** for portrait segmentation and face parsing. Proposed dataset can be used in several tasks, such as background removal in conference applications, teeth whitening, face skin enhancement, red eye removal or eye colorization, and so on.
EasyPortrait dataset size... | Provide a detailed description of the following dataset: EasyPortrait |
SIMARA | # Description
We propose a new database for information extraction from historical handwritten documents. The corpus includes 5,393 finding aids from six different series, dating from the 18th-20th centuries. Finding aids are handwritten documents that contain metadata describing older archives. They are stored in t... | Provide a detailed description of the following dataset: SIMARA |
A Software Maintainability Dataset | This dataset contains 304 manual evaluations of class-level software maintainability, drawn from 5 open-source projects:
[ArgoUML](https://github.com/argouml-tigris-org/argouml),
[Art of Illusion](http://www.artofillusion.org/),
[Diary Management](https://sourceforge.net/projects/diarymanagement/),
[JUnit 4](https:... | Provide a detailed description of the following dataset: A Software Maintainability Dataset |
Mip-NeRF RGB-D | 4 different synthetic datasets generated by Blender | Provide a detailed description of the following dataset: Mip-NeRF RGB-D |
MIMIC-IV-ICD9-top50 | The MIMIC-IV-ICD9 dataset, featuring the top 50 most frequently occurring labels. | Provide a detailed description of the following dataset: MIMIC-IV-ICD9-top50 |
MIMIC-IV-ICD10-top50 | The MIMIC-IV-ICD10 dataset, featuring the top 50 most frequently occurring labels. | Provide a detailed description of the following dataset: MIMIC-IV-ICD10-top50 |
MIMIC-IV-ICD-10-full | The MIMIC-IV-ICD10-full dataset, including occurring labels. | Provide a detailed description of the following dataset: MIMIC-IV-ICD-10-full |
MIMIC-IV-ICD9-full | The MIMIC-IV-ICD9 dataset, including all occurring labels. | Provide a detailed description of the following dataset: MIMIC-IV-ICD9-full |
Expi | Extreme Pose Interaction (ExPI) Dataset is a new person interaction dataset of Lindy Hop dancing actions. In Lindy Hop, the two dancers are called leader and
follower. The authors recorded two couples of dancers in a multi-camera setup equipped also with a motion-capture system.
16 different actions are performed in ... | Provide a detailed description of the following dataset: Expi |
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