dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
CIC IoT Dataset 2022 | # CIC IoT Dataset 2022
This project aims to generate a state-of-the-art dataset for profiling, behavioural analysis, and vulnerability testing of different IoT devices with different protocols such as IEEE 802.11, Zigbee-based and Z-Wave. The following illustrates the main objectives of the CIC-IoT dataset project:
... | Provide a detailed description of the following dataset: CIC IoT Dataset 2022 |
IoT devices captures | # IoT devices captures
- [Samuel Marchal](https://research.aalto.fi/en/persons/samuel-marchal) (Creator)
## Description
This dataset represents the traffic emitted during the setup of 31 smart home IoT devices of 27 different types (4 types are represented by 2 devices each). Each setup was repeated at least 2... | Provide a detailed description of the following dataset: IoT devices captures |
IoT Traffic Traces | # **IOT TRAFFIC TRACES**
# Data Collected for IEEE TMC 2018
Cite our data
A. Sivanathan, H. Habibi Gharakheili, F. Loi, A. Radford, C. Wijenayake, A. Vishwanath and V. Sivaraman, "Classifying IoT Devices in Smart Environments Using Network Traffic Characteristics", IEEE Transactions on Mobile Computing, Aug, 2... | Provide a detailed description of the following dataset: IoT Traffic Traces |
IoT Benign and Attack Traces | **IOT BENIGN AND ATTACK TRACES**
# Data Collected for ACM SOSR 2019
# Attack & Benign Data
# Instructions
[Flow data](https://iotanalytics.unsw.edu.au/anomaly-data/flowdata.zip) contains flow counters of MUD flow, each instance in the file are collected every one minute.
[Annotations](https://iotanalytics.... | Provide a detailed description of the following dataset: IoT Benign and Attack Traces |
Persian Font Recognition (PFR) | Persian Font Recognition (PFR)
A dataset in order to solve font recognition for the Persian language.
This dataset is part of a paper titled "Persis: A Persian Font Recognition Pipeline Using Convolutional Neural Networks".
If you use the findings of the paper or this dataset please cite the paper.
[GitHub ... | Provide a detailed description of the following dataset: Persian Font Recognition (PFR) |
Persian Text Image Segmentation (PTI SEG) | Persian Text Image Segmentation (PTI SEG)
This dataset is part of a paper titled "Persis: A Persian Font Recognition Pipeline Using Convolutional Neural Networks".
A dataset in order to solve image segmentation for the Persian texts. For generating the PTI SEG dataset, we use 735 different backgrounds in four typ... | Provide a detailed description of the following dataset: Persian Text Image Segmentation (PTI SEG) |
CoverageEval | **CoverageEval** is a dataset specifically designed for evaluating LLMs on this task. To create CoverageEval, we parse the code coverage logs generated during the execution of the test cases. This parsing step enables us to extract the relevant coverage annotations. We then carefully structure and export the dataset in... | Provide a detailed description of the following dataset: CoverageEval |
bestLDS data | Downloadable zip file containing raw data (simulated and real) as well as model fits / saved parameters. | Provide a detailed description of the following dataset: bestLDS data |
SuperCLUE | ****SuperCLUE** is a Chinese language model evaluation benchmark named after another popular Chinese LLM benchmark CLUE. SuperCLUE encompasses three sub-tasks: actual users' queries and ratings derived from an LLM battle platform (CArena), open-ended questions with single and multiple-turn dialogues (OPEN), and closed-... | Provide a detailed description of the following dataset: SuperCLUE |
PointOdyssey | **PointOdyssey** is a large-scale synthetic dataset, and data generation framework, for the training and evaluation of long-term fine-grained tracking algorithms. The dataset currently includes 104 videos, averaging 2,000 frames long, with orders of magnitude more correspondence annotations than prior work. | Provide a detailed description of the following dataset: PointOdyssey |
OTTO Recommender Systems Dataset | The `OTTO` session dataset is a large-scale dataset intended for multi-objective recommendation research. We collected the data from anonymized behavior logs of the [OTTO](https://otto.de) webshop and the app. The mission of this dataset is to serve as a benchmark for session-based recommendations and foster research i... | Provide a detailed description of the following dataset: OTTO Recommender Systems Dataset |
CANNOT | ## Dataset Summary
**CANNOT** is a dataset that focuses on negated textual pairs. It currently
contains **77,376 samples**, of which roughly of them are negated pairs of
sentences, and the other half are not (they are paraphrased versions of each
other).
The most frequent negation that appears in the dataset i... | Provide a detailed description of the following dataset: CANNOT |
Dataset of UAI 2021 Paper "An Unsupervised Video Game Playstyle Metric via State Discretization" | This is a part of dataset of the paper published in UAI 2021 (37th Conference on Uncertainty in Artificial Intelligence).
Including training datasets, testing datasets, and HSD models of three game platforms used in the paper: TORCS, RGSK, and Atari.
The example program for using this file will be put on the auth... | Provide a detailed description of the following dataset: Dataset of UAI 2021 Paper "An Unsupervised Video Game Playstyle Metric via State Discretization" |
MoNuSAC | Different types of cells play a vital role in the initiation, development, invasion, metastasis and therapeutic response of tumors of various organs. For example, (1) most carcinomas originate from epithelial cells, (2) spatial arrangement of tumor infiltrating Lymphocytes (TILs) is associated with clinical outcome in ... | Provide a detailed description of the following dataset: MoNuSAC |
BubbleML | A multi-physics dataset of boiling processes.
This repository includes downloads, visualizations, and sample applications.
This dataset can be used to train operator networks for phase-change phenomena, act as a ground truth for Physics-Informed Neural Networks, or train computer vision models. | Provide a detailed description of the following dataset: BubbleML |
SKILL-102 | SKILL-102 consists of 102 image classification datasets. Each one supports one complex classification task, and the corresponding dataset was obtained from previously published sources (e.g., task 1: classify flowers into 102 classes, such as lily, rose, petunia, etc using 8,185 train/val/test images (Nilsback & Zisser... | Provide a detailed description of the following dataset: SKILL-102 |
MoralChoice Survey | *MoralChoice* is a survey dataset to evaluate the moral beliefs encoded in LLMs. The dataset consists of:
- **Survey Question Meta-Data:** 1767 hypothetical moral scenarios where each scenario consists of a description / context and two potential actions
- **Low-Ambiguity Moral Scenarios (687 scenarios):** One acti... | Provide a detailed description of the following dataset: MoralChoice Survey |
Marmoset-8K | All animal procedures are overseen by veterinary staff of the MIT and Broad Institute Department of Comparative Medicine, in compliance with the NIH guide for the care and use of laboratory animals and approved by the MIT and Broad Institute animal care and use committees. Video of common marmosets (Callithrix jacchus)... | Provide a detailed description of the following dataset: Marmoset-8K |
TriMouse-161 | Three wild-type (C57BL/6J) male mice ran on a paper spool following odor trails (Mathis et al 2018). These experiments were carried out in the laboratory of Venkatesh N. Murthy at Harvard University. Data were recorded at 30 Hz with 640 x 480 pixels resolution acquired with a Point Grey Firefly FMVU-03MTM-CS. One human... | Provide a detailed description of the following dataset: TriMouse-161 |
Fish-100 | Schools of inland silversides (Menidia beryllina, n=14 individuals per school) were recorded in the Lauder Lab at Harvard University while swimming at 15 speeds (0.5 to 8 BL/s, body length, at 0.5 BL/s intervals) in a flow tank with a total working section of 28 x 28 x 40 cm as described in previous work, at a constant... | Provide a detailed description of the following dataset: Fish-100 |
DEplain-APA-sent | ### DEplain-APA-sent: A German Parallel Corpus for Sentence Simplification on News Texts
DEplain is a new dataset of parallel, professionally written and manually aligned simplifications in **plain German** “plain DE” (or in German: **“Einfache Sprache”**). DEplain consists of four main subcorpora: DEplain-APA-doc, ... | Provide a detailed description of the following dataset: DEplain-APA-sent |
DEplain-APA-doc | ### DEplain-APA-doc: A German Parallel Corpus for Document Simplification on News Texts
DEplain is a new dataset of parallel, professionally written and manually aligned simplifications in **plain German** “plain DE” (or in German: **“Einfache Sprache”**). DEplain consists of four main subcorpora: **DEplain-APA-doc,... | Provide a detailed description of the following dataset: DEplain-APA-doc |
DEplain-web-sent | ### DEplain-web-sent: A German Parallel Corpus for Sentence Simplification on Web Texts
DEplain is a new dataset of parallel, professionally written and manually aligned simplifications in **plain German** “plain DE” (or in German: **“Einfache Sprache”**). DEplain consists of four main subcorpora: DEplain-APA-doc, D... | Provide a detailed description of the following dataset: DEplain-web-sent |
DEplain-web-doc | ### DEplain-web-doc: A German Parallel Corpus for Document Simplification on Web Texts
DEplain is a new dataset of parallel, professionally written and manually aligned simplifications in **plain German** “plain DE” (or in German: **“Einfache Sprache”**). DEplain consists of four main subcorpora: DEplain-APA-doc, DE... | Provide a detailed description of the following dataset: DEplain-web-doc |
UMVM | We present a further analysis of visual modality incompleteness, benchmarking latest MMEA models on our proposed dataset MMEA-UMVM.
To create our **MMEA-UMVM**(uncertainly missing visual modality) datasets, we perform random image dropping on MMEA datasets. Specifically, we randomly discard entity images to achieve ... | Provide a detailed description of the following dataset: UMVM |
BioVid | To advance methods for pain assessment, in particular automatic assessment methods, the BioVid Heat Pain Database was collected in a collaboration of the Neuro-Information Technology group of the University of Magdeburg and the Medical Psychology group of the University of Ulm. In our study, 90 participants were subjec... | Provide a detailed description of the following dataset: BioVid |
SEED-Bench | **SEED-Bench** consists of 19K multiple choice questions with accurate human annotations (~6 larger than existing benchmarks), which spans 12 evaluation dimensions including the comprehension of both the image and video modality. | Provide a detailed description of the following dataset: SEED-Bench |
ToolBench | **ToolBench** is an instruction-tuning dataset for tool use, which is created automatically using ChatGPT. Specifically, the authors collect 16,464 real-world RESTful APIs spanning 49 categories from RapidAPI Hub, then prompt ChatgPT to generate diverse human instructions involving these APIs, covering both single-tool... | Provide a detailed description of the following dataset: ToolBench |
LRD | We collected a new low-light raw denoising (LRD) dataset for training and benchmarking. In contrast to the SID dataset, which sets a fixed exposure time to capture long and short exposure images, we captured long and short exposure images based on the exposure value (EV). Motivated by multi-exposure image fusion, the e... | Provide a detailed description of the following dataset: LRD |
MineralImage5k | We present a comprehensive dataset comprising a vast collection of raw mineral samples for the purpose of mineral recognition. The dataset encompasses more than 5,000 distinct mineral species and incorporates subsets for zero-shot and few-shot learning. In addition to the samples themselves, some entries in the datase... | Provide a detailed description of the following dataset: MineralImage5k |
PAD-UFES-20 | Over the past few years, different Computer-Aided Diagnosis (CAD) systems have been proposed to tackle skin lesion analysis. Most of these systems work only for dermoscopy images since there is a strong lack of public clinical images archive available to evaluate the aforementioned CAD systems. To fill this gap, we rel... | Provide a detailed description of the following dataset: PAD-UFES-20 |
Top Jet W-Momentum Reconstruction Dataset | A set of Monte Carlo simulated events, for the evaluation of top quarks' (and their child particles') momentum reconstruction, produced using the HEPData4ML package [1]. Specifically, the entries in this dataset correspond with top quark jets, and the momentum of the jets' constituent particles. This is a newer version... | Provide a detailed description of the following dataset: Top Jet W-Momentum Reconstruction Dataset |
FinBench | FinBench is a benchmark for evaluating the performance of machine learning models with both tabular data inputs and profile text inputs. | Provide a detailed description of the following dataset: FinBench |
LLMs4OL Evaluation Datasets | Three tasks were addressed in the LLMs4OL paradigm. The datasets released address the three tasks respectively. They are as follows:
Task A. Term Typing Datasets
Task B. Type Taxonomy Discovery Datasets
Task C. Type Non-Taxonomic Relation Extraction Datasets | Provide a detailed description of the following dataset: LLMs4OL Evaluation Datasets |
ccHarmony | **ccHarmony** is a color checker (cc) based image harmonization dataset. The dataset contains 350 real images and 426 segmented foregrounds, in which each real image has one or two segmented foregrounds. Each foreground is associated with 10 synthetic composite images. Therefore, our dataset has in total 4260 pairs of ... | Provide a detailed description of the following dataset: ccHarmony |
Human-M3 | **Human-M3** is an outdoor multi-modal multi-view multi-person human pose database which includes not only multi-view RGB videos of outdoor scenes but also corresponding pointclouds. | Provide a detailed description of the following dataset: Human-M3 |
Tiny-ImageNet-C | Tiny-ImageNet-C is an open-source data set comprising algorithmically generated corruptions (blur, noise) applied to the Tiny-ImageNet (ImageNet-200) test-set. | Provide a detailed description of the following dataset: Tiny-ImageNet-C |
ETHEC | It includes 47,978 butterfly images with a 4-level label-hierarchy. Hierarchy of labels from the ETHEC dataset across 4 levels: family, sub-family, genus and species. 6 family -> 21 sub-family -> 135 genus -> 561 species | Provide a detailed description of the following dataset: ETHEC |
Replication Data for: Bitcoin Gold, Litecoin Silver | Historically, gold and silver have played distinct roles in traditional monetary systems. While gold has primarily been revered as a superior store of value, prompting individuals to hoard it, silver has commonly been used as a medium of exchange. As the financial world evolves, the emergence of cryptocurrencies has in... | Provide a detailed description of the following dataset: Replication Data for: Bitcoin Gold, Litecoin Silver |
CIDII Dataset | The CIDII dataset is a binary classification, consisting of two classes of correct information and disinformation related to Islamic issues. The CIDII dataset belongs to our research (DISINFORMATION DETECTION ABOUT ISLAMIC ISSUES ON SOCIAL MEDIA USING DEEP LEARNING TECHNIQUES) published in MJCS journal in the link belo... | Provide a detailed description of the following dataset: CIDII Dataset |
MoisesDB | In this paper, we introduce the MoisesDB dataset for musical source separation. It consists of 240 tracks from 45 artists, covering twelve musical genres. For each song, we provide its individual audio sources, organized in a two-level hierarchical taxonomy of stems. This will facilitate building and evaluating fine-gr... | Provide a detailed description of the following dataset: MoisesDB |
XStoryCloze | XStoryCloze consists of the professionally translated version of the English StoryCloze dataset (Spring 2016 version) to 10 non-English languages. This dataset is intended to be used for evaluating the zero- and few-shot learning capabilities of multlingual language models. This dataset is released by Meta AI. | Provide a detailed description of the following dataset: XStoryCloze |
TDMD | **TDMD** contains eight reference DCM objects with six typical distortions. Using processed video sequences (PVS) derived from the DCM, the authors conducted a large-scale subjective experiment that resulted in 303 distorted DCM samples with mean opinion scores, making the TDMD the largest available DCM database to our... | Provide a detailed description of the following dataset: TDMD |
CHI3D | **CHI3D** is a lab-based accurate 3D motion capture dataset with 631 sequences containing 2,525 contact events,728,664 ground truth 3d poses, as well as FlickrCI3D, a dataset of 11,216 images, with 14,081 processed pairs of people, and 81,233 facet-level surface correspondences. | Provide a detailed description of the following dataset: CHI3D |
VisAlign | **VisAlign** is a dataset for measuring AI-human visual alignment in terms of image classification, a fundamental task in machine perception. In order to evaluate AI-Human visual alignment, a dataset should encompass samples with various scenarios that may arise in the real world and have gold human perception labels. ... | Provide a detailed description of the following dataset: VisAlign |
CAER | Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park, Kwanghoon Sohn; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019, pp. 10143-10152 | Provide a detailed description of the following dataset: CAER |
AISECKG | Cybersecurity education is exceptionally challenging as it involves learning the complex attacks; tools and developing critical problem-solving skills to defend the systems. For a student or novice researcher in the cybersecurity domain, there is a need to design an adaptive learning strategy that can break complex tas... | Provide a detailed description of the following dataset: AISECKG |
FracAtlas | FractureAtlas is a musculoskeletal bone fracture dataset with annotations for deep learning tasks like classification, localization, and segmentation. The dataset contains a total of 4,083 X-Ray images with annotation in COCO, VGG, YOLO, and Pascal VOC format. This dataset is made freely available for any purpose. The ... | Provide a detailed description of the following dataset: FracAtlas |
TheoremQA | We propose the first question-answering dataset driven by STEM theorems. We annotated 800 QA pairs covering 350+ theorems spanning across Math, EE&CS, Physics and Finance. The dataset is collected by human experts with very high quality. We provide the dataset as a new benchmark to test the limit of large language mode... | Provide a detailed description of the following dataset: TheoremQA |
Volumetric CMR Cartesian Datasets | Datasets at https://zenodo.org/record/8105485 for Motion Robust CMR Reconstruction Code in https://github.com/syedmurtazaarshad/motion-robust-CMR | Provide a detailed description of the following dataset: Volumetric CMR Cartesian Datasets |
CheXlocalize | [CheXlocalize](https://stanfordaimi.azurewebsites.net/datasets/23c56a0d-15de-405b-87c8-99c30138950c) is a radiologist-annotated segmentation dataset on chest X-rays. The dataset consists of two types of radiologist annotations for the localization of 10 pathologies: pixel-level segmentations and most-representative poi... | Provide a detailed description of the following dataset: CheXlocalize |
SciGraphQA | SciGraphQA is a large-scale, open-domain dataset focused on generating multi-turn conversational question-answering dialogues centered around understanding and describing scientific graphs and figures. It contains over 300,000 samples derived from academic research papers in computer science and machine learning domain... | Provide a detailed description of the following dataset: SciGraphQA |
ClassEval | In this work, we make the first attempt to evaluate LLMs in a more challenging code generation scenario, i.e. class-level code generation. We first manually construct the first class-level code generation benchmark ClassEval of 100 class-level Python code generation tasks with approximately 500 person-hours. Based on i... | Provide a detailed description of the following dataset: ClassEval |
Text2KGBench | **Text2KGBench** is a benchmark to evaluate the capabilities of language models to generate KGs from natural language text guided by an ontology. Given an input ontology and a set of sentences, the task is to extract facts from the text while complying with the given ontology (concepts, relations, domain/range constrai... | Provide a detailed description of the following dataset: Text2KGBench |
Real-CE | **Real-CE** is a real-world Chinese-English benchmark dataset for the task of STISR with the emphasis on restoring structurally complex Chinese characters. The benchmark provides 1,935/783 real LR-HR text image pairs (contains 33,789 text lines in total) for training/testing in 2× and 4× zooming modes, complemented by ... | Provide a detailed description of the following dataset: Real-CE |
MDOT | ### Description
The consists of 92 groups of video clips with 113, 918 high resolution frames taken by two drones and 63 groups of video clips with 145, 875 high resolution frames taken by three drones. | Provide a detailed description of the following dataset: MDOT |
PLC_data_1 | Less complex PLC dataset, the states each have a dedicated feature where the positive flank (0->1 value switch) indicates a state start.
The noise is generated by inducing random features.
Signals: 35
States: 17
Cycles: 3000
Noise [%]: 10
Cycle Time: 89.9 | Provide a detailed description of the following dataset: PLC_data_1 |
PLC_data_2 | More complex PLC dataset, the states each have a unique combination of feature values indicating a state start.
This leads to less precise cycle cutting due to our logic only considering one cyclic signal.
For this reason this part of the code is still in development.
The noise is generated by inducing rand... | Provide a detailed description of the following dataset: PLC_data_2 |
Arabic-ToD | The Arabic-TOD dataset is based on the BiToD dataset.
Of the 3,689 BiToD-English dialogues, 1,500 dialogues (30,000 utterances) were translated into Arabic.
We translated the task-related keywords such as cuisine, dietary restrictions, and price-level for the
restaurant domain, price-level for the hotel domain, type... | Provide a detailed description of the following dataset: Arabic-ToD |
MGPFD | **MGPFD** is a dataset for multi-goal path finding problem, including a training dataset and a simulation dataset. | Provide a detailed description of the following dataset: MGPFD |
ALTA 2021 Shared Task | This dataset is described in the [ALTA 2021 Shared Task website](https://www.alta.asn.au/events/sharedtask2021/index.html) and associated [CodaLab competition](https://competitions.codalab.org/competitions/33739).
The basic task is to build an automatic evidence grading system for evidence-based medicine. Evidence-b... | Provide a detailed description of the following dataset: ALTA 2021 Shared Task |
UJI Probes | This package contains an anonymized packets of 802.11 probe requests captured throughout March of 2023 at Universitat Jaume I. The packet capture file is in the standardized *.pcap binary format and can be opened with any packet analysis tool such as Wireshark or scapy (Python packet analysis and manipulation package).... | Provide a detailed description of the following dataset: UJI Probes |
ALTA 2023 Shared Task | This dataset is described in the [ALTA 2023 Shared Task](https://www.alta.asn.au/events/sharedtask2023/index.html) and associated [CodaLab competition](https://codalab.lisn.upsaclay.fr/competitions/14327).
The goal of this task is to build automatic detection systems that can discriminate between human-authored and ... | Provide a detailed description of the following dataset: ALTA 2023 Shared Task |
ALTA 2022 Shared Task | This dataset is described in the [ALTA 2022 Shared Task](https://www.alta.asn.au/events/sharedtask2022/index.html) and associated [CodaLab competition](https://codalab.lisn.upsaclay.fr/competitions/6935).
The goal of this task is to build automatic sentence classifiers that can map the content of biomedical abstract... | Provide a detailed description of the following dataset: ALTA 2022 Shared Task |
In-the-wild ChatGPT Prompts | This dataset contains 6,387 ChatGPT prompts collected from four platforms (Reddit, Discord, websites, and open-source datasets) during Dec 2022 to May 2023. Among these prompts, 666 jailbreak prompts are identified. | Provide a detailed description of the following dataset: In-the-wild ChatGPT Prompts |
LPR4M | **LPR4M** is a large-scale live commerce dataset, offering a significantly broader coverage of categories and diverse modalities such as video, image, and text. It contains 4M exactly matched〈clip, image〉pairs of 4M live clips, and 332k shop images. Each image has 12 clips with different product variations, e.g., viewp... | Provide a detailed description of the following dataset: LPR4M |
IDiff-Face | The IDiff-Face dataset was proposed in the paper "IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models". This dataset is synthetically generated using the IDiff-Face model. | Provide a detailed description of the following dataset: IDiff-Face |
GVLM | For change detection tasks, current open-source datasets mainly focus on building extraction (e.g., WHU building dataset and LEVIR-CD dataset) (Chen and Shi, 2020; Ji et al., 2018) and urban development monitoring (e.g., SECOND dataset, Google dataset and CDD dataset) (Yang et al., 2022; Peng et al., 2021; Lebedev et a... | Provide a detailed description of the following dataset: GVLM |
Engineered Cardiac Microbundle Time-Lapse Microscopy Image Dataset | The "Microbundle Time-lapse Dataset" contains 24 experimental time-lapse images of cardiac microbundles using three distinct types of experimental testbed of beating lab grown hiPSC-based cardiac microbundles. Of the 24 experimental time-lapse images, 23 examples are brightfield videos, and a single example is a phase ... | Provide a detailed description of the following dataset: Engineered Cardiac Microbundle Time-Lapse Microscopy Image Dataset |
Vessel detection Dateset | a vessel dataset using 85 videos. The dataset covers normal weather conditions such as sunny, rainy, reflective, low light, night, etc. The first 43 videos are annotated with one video every 1 second, and the last 42 videos are annotated with one video every 2 seconds. Furthermore, since the collected videos contain ma... | Provide a detailed description of the following dataset: Vessel detection Dateset |
CG-Eval | This paper presents CG-Eval, the first comprehensive evaluation of the generation capabilities of large Chinese language models across a wide range of academic disciplines. The models' performance was assessed based on their ability to generate accurate and relevant responses to different types of questions in six disc... | Provide a detailed description of the following dataset: CG-Eval |
Inshorts News | Inshorts News dataset Inshorts provides a news summary in 60 words or less. Inshorts is a news service that offers short summaries of news from around the web. This dataset contains headlines and a summary of news items and their source. | Provide a detailed description of the following dataset: Inshorts News |
MNIST-C | Common corruptions dataset for MNIST. | Provide a detailed description of the following dataset: MNIST-C |
DeepPatent | The dataset consists of over 350,000 public domain patent drawings collected from the United States Patent and Trademark Office (USPTO). The whole collection consists of a total of 45,000 design patents published between January 2018 and June 2019. | Provide a detailed description of the following dataset: DeepPatent |
PapioVoc | Abstract
The data collection process consisted of continuously recording during one month a group of Guinea baboons living in semi-liberty at the CNRS primatology center in Rousset-sur-Arc (France). Two microphones we placed nearby their enclosure to continuously record the sounds produced by the group. A convolutio... | Provide a detailed description of the following dataset: PapioVoc |
BabbleCor | What is BabbleCor?
BabbleCor is a crosslinguistic corpus of infant and child vocalizations from 52 children exposed to five different languages: English, Spanish, Tsimane', Yêlí-Dnye, Tseltal Mayan, and bilingual Quechua-Spanish.
How was BabbleCor created?
BabbleCor consists of very short audio clips (approxim... | Provide a detailed description of the following dataset: BabbleCor |
Nikon RAW Low Light | Dataset release for the BMVC 2021 Paper "Few-Shot Domain Adaptation for Low Light RAW Image Enhancement"
Abstract: Enhancing practical low light raw images is a difficult task due to severe noise and color distortions from short exposure time and limited illumination. Despite the success of existing Convolutional Ne... | Provide a detailed description of the following dataset: Nikon RAW Low Light |
Canon RAW Low Light | The goal of this project is to present two new datasets that seek to expand the capability of the Learning to See in the Dark Low-light enhancement CNN for the Canon 6D DSLR, and explore how the network performs when modified in various ways, both pruning it and making it deeper.
The original paper Learning to See i... | Provide a detailed description of the following dataset: Canon RAW Low Light |
Raw_-Subjective-Scores-120-videos | A review on raw subjective scores and data manipulation for before and after refining Mean opinion Scores | Provide a detailed description of the following dataset: Raw_-Subjective-Scores-120-videos |
Detecting Security Patches Via Behavioral Data | The code that created this dataset can be seen in [https://github.com/nitzanfarhi/SecurityPatchDetection](https://github.com/nitzanfarhi/SecurityPatchDetection) and can be reproduced by running:
```console
python data_collection\create_dataset.py --all -o data_collection\data
```
Notice that this dataset doesn't i... | Provide a detailed description of the following dataset: Detecting Security Patches Via Behavioral Data |
SI-HDR | The dataset consists of 181 HDR images. Each image includes: 1) a RAW exposure stack, 2) an HDR image, 3) simulated camera images at two different exposures 4) Results of 6 single-image HDR reconstruction methods: Endo et al. 2017, Eilertsen et al. 2017, Marnerides et al. 2018, Lee et al. 2018, Liu et al. 2020, and San... | Provide a detailed description of the following dataset: SI-HDR |
DemogPairs | Although deep face recognition has achieved impressive results in recent years, there is increasing controversy regarding racial and gender bias of the models, questioning their trustworthiness and deployment into sensitive scenarios. DemogPairs is a validation set with 10.8K facial images and 58.3M identity verificati... | Provide a detailed description of the following dataset: DemogPairs |
UIUC Scooping Dataset | **Overview:**
This dataset encompasses a compilation of 6,700 executed scoops (excavations), mapped across a vast spectrum of materials, terrain topography, and compositions.
**Motivation:**
The primary motivation behind collecting this dataset is to advance research in granular material manipulation and meta-... | Provide a detailed description of the following dataset: UIUC Scooping Dataset |
NEnv | Dataset of 30 4K HDR environment maps and trained models. | Provide a detailed description of the following dataset: NEnv |
Neuochemical and USV measurements of the effects of morphine withdrawal in rats | Data was acquired to investigate the effects of morphine withdrawal in rats, both in the brain neurochemistry and ultrasonic vocalisation.
To this end, a following experiment was performed. 38 adult male Sprague–Dawley rats were used in the experiment, divided into four groups: Saline-Control (10), Morphine-Control ... | Provide a detailed description of the following dataset: Neuochemical and USV measurements of the effects of morphine withdrawal in rats |
MeViS | MeViS is a large-scale dataset for motion expressions guided video segmentation, which focuses on segmenting objects in video content based on a sentence describing the motion of the objects. The dataset contains numerous motion expressions to indicate target objects in complex environments. | Provide a detailed description of the following dataset: MeViS |
FunnyBirds | **FunnyBirds** is a synthetic vision dataset that is developed to automatically and quantitatively analyze XAI methods. It consists of 50 500 images (50k train, 500 test) of 50 synthetic bird species. | Provide a detailed description of the following dataset: FunnyBirds |
PIPPA | PIPPA (Personal Interaction Pairs between People and AI) is a partially-synthetic dataset. The dataset comprises over 1 million utterances that are distributed across 26,000 conversation sessions and provides a rich resource for researchers and AI developers to explore and refine conversational AI systems in the contex... | Provide a detailed description of the following dataset: PIPPA |
LOL-v2 | LOL-v2-real contains 689 low-/normal-light image pairs for training and 100 pairs for testing. | Provide a detailed description of the following dataset: LOL-v2 |
DAS-2 | The DAS-2 traces were kindly provided by the Advanced School for Computing and Imaging (ASCI), the owner of the DAS-2 system. To use these traces, you must include an acknowledgement to the source of the data in any published material that refers to the data. Please also consider refering to the Grid Workloads Archive ... | Provide a detailed description of the following dataset: DAS-2 |
Notebook Inaccessibility | This dataset artifact contains the intermediate datasets from pipeline executions necessary to reproduce the results of the paper.
We share this artifact in hopes of providing a starting point for other researchers to extend the analysis on notebooks, discover more about their accessibility, and offer solutions to mak... | Provide a detailed description of the following dataset: Notebook Inaccessibility |
FIREBALL | Dungeons & Dragons (D&D) is a tabletop roleplaying game with complex natural language interactions between players and hidden state information. Recent work has shown that large language models (LLMs) that have access to state information can generate higher quality game turns than LLMs that use dialog history alone. H... | Provide a detailed description of the following dataset: FIREBALL |
Myket Android Application Install | This dataset contains information on application install interactions of users in the [Myket](https://myket.ir/) android application market. The dataset was created for the purpose of evaluating interaction prediction models, requiring user and item identifiers along with timestamps of the interactions. Hence, the data... | Provide a detailed description of the following dataset: Myket Android Application Install |
Open-Platypus | **Open-Platypus** is a family of fine-tuned and merged Large Language Models (LLMs) that achieves the strongest performance and currently stands at first place in HuggingFace's Open LLM Leaderboard. | Provide a detailed description of the following dataset: Open-Platypus |
SHADR | # SDoH Human Annotated Demoographic Robustness (SHADR) Dataset
## Overview
The Social determinants of health (SDoH) play a pivotal role in determining patient outcomes. However, their documentation in electronic health records (EHR) remains incomplete. This dataset was created from a study examining the capability ... | Provide a detailed description of the following dataset: SHADR |
OVEN | In this project, we formally present the task of Open-domain Visual Entity recognitioN (OVEN), where a model need to link an image onto a Wikipedia entity with respect to a text query. We construct OVEN-Wiki by re-purposing 14 existing datasets with all labels grounded onto one single label space: Wikipedia entities. O... | Provide a detailed description of the following dataset: OVEN |
InfoSeek | In this project, we introduce InfoSeek, a visual question answering dataset tailored for information-seeking questions that cannot be answered with only common sense knowledge. Using InfoSeek, we analyze various pre-trained visual question answering models and gain insights into their characteristics. Our findings reve... | Provide a detailed description of the following dataset: InfoSeek |
ASOS Data | The Automated Surface Observing Systems (ASOS) program is a joint effort of the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the Department of Defense (DOD). These automated systems collect observations on a continual basis, 24 hours a day.
Automated Weather Observing System (AWOS)... | Provide a detailed description of the following dataset: ASOS Data |
Dataset of a Study of Computational reproducibility of Jupyter notebooks from biomedical publications | The dataset is generated from the study of computational reproducibility of Jupyter notebooks from biomedical publications. Our focus lies in evaluating the extent of reproducibility of Jupyter notebooks derived from GitHub repositories linked to publications present in the biomedical literature repository, PubMed Cent... | Provide a detailed description of the following dataset: Dataset of a Study of Computational reproducibility of Jupyter notebooks from biomedical publications |
Dataset of a Study of Computational reproducibility of Jupyter notebooks from biomedical publications version 1 | This repository contains the dataset for the study of the computational reproducibility of Jupyter notebooks from biomedical publications. We analyzed the reproducibility of Jupyter notebooks from GitHub repositories associated with publications indexed in the biomedical literature repository PubMed Central. The datase... | Provide a detailed description of the following dataset: Dataset of a Study of Computational reproducibility of Jupyter notebooks from biomedical publications version 1 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.