dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
V4V | Over the past few years a number of research groups have made rapid advances in remote PPG methods for estimating heart rate from digital video and obtained impressive results. How these various methods compare in naturalistic conditions, where spontaneous behavior, facial expressions, and illumination changes are pres... | Provide a detailed description of the following dataset: V4V |
EvoGym | **EvoGym** is a large-scale benchmark for co-optimizing the design and control of soft robots. | Provide a detailed description of the following dataset: EvoGym |
TraVLR | **TraVLR** is a synthetic dataset comprising four visio-linguistic reasoning tasks. Each example encodes the scene bimodally such that either modality can be dropped during training/testing with no loss of relevant information. TraVLR's training and testing distributions are also constrained along task-relevant dimensi... | Provide a detailed description of the following dataset: TraVLR |
Iconary | **Iconary** dataset is for testing multimodal communication with drawings and text. | Provide a detailed description of the following dataset: Iconary |
image-goal-nav-dataset | A dataset for Image-Goal Navigation in Habitat based on Gibson scenes. | Provide a detailed description of the following dataset: image-goal-nav-dataset |
2D Moving Clusters | Contains $10^7$ points, sampled from 20 clusters, with incremental concept drift - On each batch (of size 1000) the mean of each of the clusters moves a random (small) length in some random direction, the means move independently of each other.
This dataset should be used sequentially, in batches of $1000$. | Provide a detailed description of the following dataset: 2D Moving Clusters |
KMIR | **KMIR** (**Knowledge Memorization, Identification, and Reasoning**) is a benchmark that covers 3 types of knowledge, including general knowledge, domain-specific knowledge, and commonsense, and provides 184,348 well-designed questions. KMIR can be used for evaluating knowledge memorization, identification and reasonin... | Provide a detailed description of the following dataset: KMIR |
Tecnocampus Hand Image Database | The acquisition over the VIS and TIR data was performed by a commercial thermal camera Testo 882-3. We have used a second external camera to obtain the NIR data. In this case we have built a NIR camera using a webcam changing the default optical filter for a couple of Kodak filters for IR. We have also used a printed c... | Provide a detailed description of the following dataset: Tecnocampus Hand Image Database |
CARL Database | Visible and thermal images have been acquired using a thermographic camera TESTO 880-3, equipped with an uncooled detector with a spectral sensitivity range from 8 to 14 μm and provided with a germanium optical lens, and an approximate cost of 8.000 EUR. For the NIR a customized Logitech Quickcam messenger E2500 has be... | Provide a detailed description of the following dataset: CARL Database |
EasyCall corpus | EasyCall corpus is a dysarthric speech command dataset in Italian. The dataset consists of 21386 audio recordings from 24 healthy and 31 dysarthric speakers, whose individual degree of speech impairment was assessed by neurologists through the Therapy Outcome Measure. | Provide a detailed description of the following dataset: EasyCall corpus |
TOPv2 | Task Oriented Parsing v2 (TOPv2) representations for intent-slot based dialog systems.
Provided under the CC-BY-SA license. Please cite the accompanying paper when
using this dataset -
```
@inproceedings{chen-etal-2020-low-resource,
title={Low-Resource Domain Adaptation for Compositional Task-Oriented
... | Provide a detailed description of the following dataset: TOPv2 |
Microsoft Academic Graph | The Microsoft Academic Graph is a heterogeneous graph containing scientific publication records, citation relationships between those publications, as well as authors, institutions, journals, conferences, and fields of study.
[Documentation](https://docs.microsoft.com/en-us/academic-services/graph/) | Provide a detailed description of the following dataset: Microsoft Academic Graph |
RefSeer | A data set containing citations, citation contexts, and papers.
[Download instructions](https://github.com/chbrown/refseer) | Provide a detailed description of the following dataset: RefSeer |
GLips | The German Lipreading dataset consists of 250,000 publicly available videos of the faces of speakers of the Hessian Parliament, which was processed for word-level lip reading using an automatic pipeline. The format is similar to that of the English language Lip Reading in the Wild (LRW) dataset, with each H264-compress... | Provide a detailed description of the following dataset: GLips |
Burr classification images | Original images and images with RUSTICO filters applied
Also a csv with classes is included | Provide a detailed description of the following dataset: Burr classification images |
DFDM | We created a new dataset, named DFDM, with 6,450 Deepfake videos generated by different Autoencoder models. Specifically, five Autoencoder models with variations in encoder, decoder, intermediate layer, and input resolution, respectively, have been selected to generate Deepfakes based on the same input. We have observ... | Provide a detailed description of the following dataset: DFDM |
Intel Lab Data | This dataset contains data collected from 54 sensors deployed in the Intel Berkeley Research lab between February 28th and April 5th, 2004.
Mica2Dot sensors with weatherboards collected timestamped topology information, along with humidity, temperature, light, and voltage values once every 31 seconds. Data was collect... | Provide a detailed description of the following dataset: Intel Lab Data |
Moléne Dataset | The French national meteorological service published an open-access dataset of hourly weather observations in Brittany, France, for the month of January 2014. In addition to the graph of ground weather stations, the dataset contains hourly readings of those stations. Readings include temperatures, wind characteristics,... | Provide a detailed description of the following dataset: Moléne Dataset |
VID Dataset | The Visual-Inertial-Dynamical (VID) dataset not only focuses on traditional six degrees of freedom (6-DOF) pose estimation, but also provides dynamical characteristics of the flight platform for external force perception or dynamics-aided estimation. The VID dataset contains hardware synchronized imagery and inertial m... | Provide a detailed description of the following dataset: VID Dataset |
NVALT-8 | Te NVALT-8 study (`m=200` participants) examined if nadroparin combined with
chemotherapy could reduce cancer relapse after surgical removal of a non-small cell lung tumour. | Provide a detailed description of the following dataset: NVALT-8 |
NVALT-11 | The NVALT-11 study considered the effect of profylactic brain radiation versus observation in ($m$=174) patients with advanced non-small cell lung cancer. | Provide a detailed description of the following dataset: NVALT-11 |
AKB-48 | **AKB-48** is a large-scale **A**rticulated object **K**nowledge **B**ase which consists of 2,037 real-world 3D articulated object models of **48** categories. | Provide a detailed description of the following dataset: AKB-48 |
MetaShift | **MetaShift** is a collection of 12,868 sets of natural images across 410 classes. It can be used to benchmark and evaluate how robust machine learning models are to data shifts. | Provide a detailed description of the following dataset: MetaShift |
Dataset for the Article "Does the Venue of Scientific Conferences Leverage their Impact? A Large Scale study on Computer Science | Is there any correlation between the impact of a scientific conference and the venue where it takes place?
It seems that no one has tackled this issue before, so we decided to explore the possible implications.
From the one hand, we considered the number of citations as indicator of the impact of a conference; from t... | Provide a detailed description of the following dataset: Dataset for the Article "Does the Venue of Scientific Conferences Leverage their Impact? A Large Scale study on Computer Science |
WSJ Dow Jones Stock Data | Please see code repository. [https://github.com/nlandolfi/acc2022treelinearcascades_stocks](https://github.com/nlandolfi/acc2022treelinearcascades_stocks) | Provide a detailed description of the following dataset: WSJ Dow Jones Stock Data |
ZInd | The Zillow Indoor Dataset (ZInD) provides extensive visual data that covers a real world distribution of unfurnished residential homes. It consists of primary 360º panoramas with annotated room layouts, windows, doors and openings (W/D/O), merged rooms, secondary localized panoramas, and final 2D floor plans. The figur... | Provide a detailed description of the following dataset: ZInd |
IMDB-Clean | We have cleaned the noisy IMDB-WIKI dataset using a constrained clustering method, resulting this new benchmark for in-the-wild age estimation. The annotations also allow this dataset to use for some other tasks, like gender classification and face recognition/verification. For more details, please refer to our FPAge p... | Provide a detailed description of the following dataset: IMDB-Clean |
TriggerCit 2021 Thailand / Nepal floods | Twitter dataset related to flood events onsets in Thailand and Nepal, focused on September 26/27, 2022, June 16/17 2021 and July 01/02 2021. The dataset has been processed with a VisualCit pipeline in order to automatically filter a relevant subset of posts through automated image analysis, using deep learning techniqu... | Provide a detailed description of the following dataset: TriggerCit 2021 Thailand / Nepal floods |
CRC100K | * This is a set of 100,000 non-overlapping image patches from hematoxylin & eosin (H&E) stained histological images of human colorectal cancer (CRC) and normal tissue.
* All images are 224x224 pixels (px) at 0.5 microns per pixel (MPP).
* For tissue classification; the classes are: Adipose (ADI), background (BACK), d... | Provide a detailed description of the following dataset: CRC100K |
Dafonts Free | This is a dataset of 18624 fonts labeled as 100% Free and Public domain / GPL / OFL on https://www.dafont.com/ with .ttf and .otf extensions.
Code used to create it can be found at: https://github.com/duskvirkus/dafonts-free | Provide a detailed description of the following dataset: Dafonts Free |
Mathematical Mathematics Memes | ### Dataset Description
This dataset contains +10k math memes. Memes were approved by admins before being shared with group members. Thus all memes follow the community standards. Memes are about college math or above.
### Acknowledgements
Thanks to the [Mathematical Mathematics Memes](https://web.facebook.com... | Provide a detailed description of the following dataset: Mathematical Mathematics Memes |
EmoSpeech | **EmoSpeech** contains keywords with diverse emotions and background sounds, presented to explore new challenges in audio analysis. | Provide a detailed description of the following dataset: EmoSpeech |
Earth on Canvas | A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images
WITH the advancement in sensor technology, huge amounts of data are being collected from various satellites. Hence, the task of target-based data retrieval and acquisition has become exceedingly challenging. Existing satellites es... | Provide a detailed description of the following dataset: Earth on Canvas |
NTU-X | NTU-X is an extended version of popular [NTU](/dataset/ntu-rgb-d/) dataset. | Provide a detailed description of the following dataset: NTU-X |
LSFB Datasets | # Sign Language Datasets for French Belgian Sign Language
This dataset is built upon the work of Belgian linguists from the University of Namur. During eight years, they've collected and annotated 50 hours of videos depicting sign language conversation. 100 signers were recorded, making it one of the most representati... | Provide a detailed description of the following dataset: LSFB Datasets |
TR_AR_S2S | Dubbed series are gaining a lot of popularity in recent years with strong support from major media service providers. Such popularity is fueled by studies that showed that dubbed versions of TV shows are more popular than their subtitled equivalents.
This work proposes an unsupervised approach to construct speech-t... | Provide a detailed description of the following dataset: TR_AR_S2S |
Kubric | **Kubric** is a data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
It also presents a series of 13 different generated datasets for tasks ranging from studying 3D NeRF models to optical flow estim... | Provide a detailed description of the following dataset: Kubric |
Pretrained Models of the Benchmarking Algorithms for UVCGAN | The pretrained models from four image translation algorithms: ACL-GAN, Council-GAN, CycleGAN, and U-GAT-IT on three benchmarking datasets: Selfie2Anime, CelebA_gender, CelebA_glasses.
We trained the models to provide benchmarks for the algorithm we detailed in the paper "UVCGAN: UNet Vision Transformer Cycle-consist... | Provide a detailed description of the following dataset: Pretrained Models of the Benchmarking Algorithms for UVCGAN |
Fitness-AQA | Largest, first-of-its-kind, in-the-wild, fine-grained workout/exercise posture analysis dataset, covering three different exercises: BackSquat, Barbell Row, and Overhead Press. Seven different types of exercise errors are covered. Unlabeled data is also provided to facilitate self-supervised learning. | Provide a detailed description of the following dataset: Fitness-AQA |
WITS | This dataset is an extension of MASAC, a multimodal, multi-party, Hindi-English code-mixed dialogue dataset compiled from the popular Indian TV show,
‘Sarabhai v/s Sarabhai’. WITS was created by augmenting MASAC with natural language explanations for each sarcastic dialogue. The dataset consists of the transcribed sa... | Provide a detailed description of the following dataset: WITS |
FloW | - Marine wastes are severely threatening marine animals and their habitat, also causing an impact on human life through toxic substances transportation and accumulation. To prevent the wastes especially the plastic trash from getting into the ocean, it is essential to detect and clean the floating wastes in inland wate... | Provide a detailed description of the following dataset: FloW |
ATOM3D | **ATOM3D** is a unified collection of datasets concerning the three-dimensional structure of biomolecules, including proteins, small molecules, and nucleic acids. These datasets are specifically designed to provide a benchmark for machine learning methods which operate on 3D molecular structure, and represent a variety... | Provide a detailed description of the following dataset: ATOM3D |
SILG | **Symbolic Interactive Language Grounding** (**SILG**) is a multi-environment benchmark which unifies a collection of diverse grounded language learning environments under a common interface. SILG consists of grid-world environments that require generalization to new dynamics, entities, and partially observed worlds (R... | Provide a detailed description of the following dataset: SILG |
MPSGaze | This is a synthetic dataset containing full images (instead of only cropped faces) that provides ground truth 3D gaze directions for multiple people in one image. | Provide a detailed description of the following dataset: MPSGaze |
I.PHI | **I.PHI** processes the Packard Humanities Institute (PHI) database of ancient Greek inscriptions including the geographical and chronological metadata into a machine actionable format. The processed dataset is referred to as I.PHI. | Provide a detailed description of the following dataset: I.PHI |
Human Activity Recognition | We provide six different datasets with diverse range of activities | Provide a detailed description of the following dataset: Human Activity Recognition |
ImageNet-Patch | ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
Adversarial patches are optimized contiguous pixel blocks in an input image that cause a machine-learning model to misclassify it. However, their optimization is computationally demanding, and requires careful hyperpar... | Provide a detailed description of the following dataset: ImageNet-Patch |
RENOIR | A dataset of color images corrupted by natural noise due to low-light conditions, together with spatially and intensity-aligned low noise images of the same scenes. | Provide a detailed description of the following dataset: RENOIR |
Fingerprint inpainting and denoising | Synthetic training set: This set is constructed in the following two steps and will be used for estimation/training purposes. i) 84,000 275 pixel x 400 pixel ground-truth fingerprint images without any noise or scratches, but with random transformations (at most five pixels translation and +/-10 degrees rotation) were ... | Provide a detailed description of the following dataset: Fingerprint inpainting and denoising |
Cross-View Time Dataset | The appearance of the world varies dramatically not only from place to place but also from hour to hour and month to month. Every day billions of images capture this complex relationship, many of which are associated with precise time and location metadata. We propose to use these images to construct a global-scale, dy... | Provide a detailed description of the following dataset: Cross-View Time Dataset |
Cross-View Time Dataset (Cross-Camera Split) | The standard evaluation protocol of Cross-View Time dataset allows for certain cameras to be shared between training and testing sets. This protocol can emulate scenarios in which we need to verify the authenticity of images from a particular set of devices and locations. Considering the ubiquity of surveillance system... | Provide a detailed description of the following dataset: Cross-View Time Dataset (Cross-Camera Split) |
MVTEC 3D-AD | MVTec 3D Anomaly Detection Dataset (MVTec 3D-AD) is a comprehensive 3D dataset for the task of unsupervised anomaly detection and localization. It contains over 4000 high-resolution scans acquired by an industrial 3D sensor. Each of the 10 different object categories comprises a set of defect-free training and validati... | Provide a detailed description of the following dataset: MVTEC 3D-AD |
BODMAS | We collaborate with Blue Hexagon to release a dataset containing timestamped malware samples and well-curated family information for research purposes.
The BODMAS dataset contains 57,293 malware samples and 77,142 benign samples collected from August 2019 to September 2020, with carefully curated family information ... | Provide a detailed description of the following dataset: BODMAS |
StepGame | A Benchmark for Robust Multi-Hop Spatial Reasoning in Texts | Provide a detailed description of the following dataset: StepGame |
NASA Perseverance | Samples from NASA Perseverance and set of GAN generated synthetic images from Neural Mars. | Provide a detailed description of the following dataset: NASA Perseverance |
Moroccan Monay dataset | A dataset of all Moroccan money | Provide a detailed description of the following dataset: Moroccan Monay dataset |
CANDOR Corpus | The CANDOR corpus is a large, novel, multimodal corpus of 1,656 recorded conversations in spoken English. This 7+ million word, 850 hour corpus totals over 1TB of audio, video, and transcripts, with moment-to-moment measures of vocal, facial, and semantic expression, along with an extensive survey of speaker post conve... | Provide a detailed description of the following dataset: CANDOR Corpus |
ML guided Logic synthesis | Logic synthesis is a challenging and widely-researched combinatorial optimization problem during integrated circuit (IC) design. It transforms a high-level description of hardware in a programming language like Verilog into an optimized digital circuit netlist, a network of interconnected Boolean logic gates, that impl... | Provide a detailed description of the following dataset: ML guided Logic synthesis |
NELA-GT-2021 | **NELA-GT-2021** is the fourth installment of the NELA-GT datasets, NELA-GT-2021. The dataset contains 1.8M articles from 367 outlets between January 1st, 2021 and December 31st, 2021. Just as in past releases of the dataset, NELA-GT-2021 includes outlet-level veracity labels from Media Bias/Fact Check and tweets embed... | Provide a detailed description of the following dataset: NELA-GT-2021 |
K-SportsSum | K-SportsSum is a sports game summarization dataset with two characteristics: (1) K-SportsSum collects a large amount of data from massive games. It has 7,854 commentary-news pairs. To improve the quality, K-SportsSum employs a manual cleaning process; (2) Different from existing datasets, to narrow the knowledge gap, K... | Provide a detailed description of the following dataset: K-SportsSum |
SportsSum | SportsSum is a Chinese sports game summarization dataset that contains 5,428 soccer games of live commentaries and the corresponding news articles. | Provide a detailed description of the following dataset: SportsSum |
SKM-TEA | The **SKM-TEA** dataset pairs raw quantitative knee MRI (qMRI) data, image data, and dense labels of tissues and pathology for end-to-end exploration and evaluation of the MR imaging pipeline. This 1.6TB dataset consists of raw-data measurements of ~25,000 slices (155 patients) of anonymized patient knee MRI scans, th... | Provide a detailed description of the following dataset: SKM-TEA |
ILPC22-Small | A small dataset from the Inductive Link Prediction Challenge 2022.
Training graph contains 10K entities, 96 relations, 78K triples.
Inference graph contains 7K entities, 96 relations, 21K triples.
Validation and test triples to predict belong to the inference graph. | Provide a detailed description of the following dataset: ILPC22-Small |
ILPC22-Large | A large dataset from the Inductive Link Prediction Challenge 2022.
Training graph contains 46K entities, 130 relations, 202K triples.
Inference graph contains 30K entities, 130 relations, 77K triples.
Validation and test triples to predict belong to the inference graph. | Provide a detailed description of the following dataset: ILPC22-Large |
PRIME | This dataset contains both infeasible and feasible data points as described in [PRIME](https://arxiv.org/abs/2110.11346). The descriptors of the collected data are presented in the table below.
| | # of Infeasible | # of Feasible | Max Runtime (ms) | Min Runtime (ms) | Average Runtime (ms) |
|-----... | Provide a detailed description of the following dataset: PRIME |
BBAI Dataset | This dataset is for evaluating the task of Black-box Multi-agent Integration which focuses on combining the capabilities of multiple black-box conversational agents at scale. It provides data to explore two main frameworks of exploration: question agent pairing and question response pairing.
Overall this dataset con... | Provide a detailed description of the following dataset: BBAI Dataset |
MSP-Podcast | The MSP-Podcast corpus contains speech segments from podcast recordings which are perceptually annotated using crowdsourcing. The collection of this corpus is an ongoing process. Version 1.7 of the corpus has 62,140 speaking turns (100hrs).
Key features of this corpus:
* We download available audio recordings wit... | Provide a detailed description of the following dataset: MSP-Podcast |
Thermal focus image database | The database was acquired using a thermographic camera TESTO 880-3. This camera is equipped with an uncooled detector and has a spectral sensitivity range from 8 to 14 μm. It has a removable German optic lens. It provides the following main features:
Image resolution: 160 × 120 pixels.
Optical field/min. focus dist... | Provide a detailed description of the following dataset: Thermal focus image database |
TR-News | This dataset is collected from various global and local news sources. Toponyms are manually annotated in the articles with the corresponding entries from GeoNames. In total, the dataset
consists of 118 articles. | Provide a detailed description of the following dataset: TR-News |
Reddit Conversation Corpus | Reddit Conversation Corpus (RCC) consists of conversations, scraped from Reddit, for a 20 month period from November 2016 until August 2018. To ensure the quality and diversity of topics, 95 subreddits are selected from which conversations are collected. In total, RCC contains 9.2 million 3-turn conversations. | Provide a detailed description of the following dataset: Reddit Conversation Corpus |
IEEE-CIS Fraud Detection | #### Can you detect fraud from customer transactions?
Imagine standing at the check-out counter at the grocery store with a long line behind you and the cashier not-so-quietly announces that your card has been declined. In this moment, you probably aren’t thinking about the data science that determined your fate.
... | Provide a detailed description of the following dataset: IEEE-CIS Fraud Detection |
Kinetics-100 | Kinetics-100 is a dataset split created from the Kinetics dataset to evaluate the performance of few-shot action recognition models. 100 classes are randomly selected from a total of 400 categories, each composed of 100 examples. The 100 classes are further split into 64, 12, and 24 non-overlapping classes to use as th... | Provide a detailed description of the following dataset: Kinetics-100 |
Something-Something-100 | Something-Something-100 is a dataset split created from Something-Something V2. A total of 100 classes are selected and each comprises 100 samples. The 100 classes were split into 64, 12, and 24 non-overlapping classes to use as the meta-training set, meta-validation set, and meta-testing set, respectively. Link to exa... | Provide a detailed description of the following dataset: Something-Something-100 |
Slovenian Twitter dataset 2018-2020 | A comprehensive set of all Slovenian tweets posted in the 2018-2020 period,
with retweet links and assigned hate speech classes.
Available at a public language resource repository CLARIN.SI. | Provide a detailed description of the following dataset: Slovenian Twitter dataset 2018-2020 |
AIT-LDSv2.0 | Synthetic log data suitable for evaluation of intrusion detection systems, federated learning, and alert aggregation. Each of the 8 datasets corresponds to a testbed representing a small enterprise network including mail server, file share, WordPress server, VPN, firewall, etc. Normal user behavior is simulated to gen... | Provide a detailed description of the following dataset: AIT-LDSv2.0 |
eVED | **Extended Vehicle Energy Dataset** (**eVED**) is an extended version of the Vehicle Energy Dataset (VED), which is a large-scale dataset for vehicle energy consumption analysis. Compared with its original version, the extended VED (eVED) dataset is enhanced with accurate vehicle trip GPS coordinates, serving as a reli... | Provide a detailed description of the following dataset: eVED |
Multi-focus thermal database | The database was acquired using a thermographic camera TESTO 882-3 equipped with an uncooled detector and a spectral sensitivity range from 8 to 14 μm. It has a removable German optic lens with these main features:
image resolution: 320 × 240 px,
spectral sensitivity: 8 to 14 μm,
thermal sensitivity (NETD)<0.06 °C... | Provide a detailed description of the following dataset: Multi-focus thermal database |
i3DMM Test Dataset | A new dataset consisting of 64 people with different expressions and hairstyles. | Provide a detailed description of the following dataset: i3DMM Test Dataset |
NOAA Atmospheric Temperature Dataset | This dataset contains meteorological observations (temperature) at the
land-based weather stations located in the United States, collected from the Online Climate
Data Directory of the National Oceanic and Atmospheric Administration (NOAA). The weather
stations are sampled from the Western and Southeastern states th... | Provide a detailed description of the following dataset: NOAA Atmospheric Temperature Dataset |
NEMO Sea Surface Temperature Dataset | This dataset contains spatiotemporal sequences of SST generated by the
NEMO ocean engine. The observations correspond to 250 randomly selected data sites
within a [0, 550] × [100, 650] square cropped from the area between 50 deg N − 65 deg N and 75W deg −
10W deg starting from 01-01-2016 to 12-31-2017. The data is ... | Provide a detailed description of the following dataset: NEMO Sea Surface Temperature Dataset |
JaNLI | The Japanese Adversarial NLI (JaNLI) dataset is designed to require understanding of Japanese linguistic phenomena and illuminate the vulnerabilities of models.
Please see the paper [Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference](https://ac... | Provide a detailed description of the following dataset: JaNLI |
Sachs | Sachs dataset measures the expression level of different proteins and phospholipids in human cells. It includes the simultaneous measurements of 11 phosphorylated proteins and phospholipids derived from thousands of individual primary immune system cells, subjected to both general and specific molecular interventions. | Provide a detailed description of the following dataset: Sachs |
Full-Spectral Autofluorescence Lifetime Microscopic Images | - The dataset contains full-spectral autofluorescence lifetime microscopic images (FS-FLIM) acquired on unstained ex-vivo human lung tissue, where 100 4D hypercubes of 256x256 (spatial resolution) x 32 (time bins) x 512 (spectral channels from 500nm to 780nm). This dataset associates with our paper "Deep Learning-Assis... | Provide a detailed description of the following dataset: Full-Spectral Autofluorescence Lifetime Microscopic Images |
XLING | The XLING BLI Dataset contains bilingual dictionaries for 28 language pairs. For each of the language pairs, there are 5 dictionary files: 4 training dictionaries of varying sizes (500, 1K, 3K, and 5K translation pairs) and one testing dictionary containing 2K test word pairs. All results reported in the above paper ha... | Provide a detailed description of the following dataset: XLING |
Code Smells in Elixir | Dataset used in research submitted to ICPC ERA 2022 | Provide a detailed description of the following dataset: Code Smells in Elixir |
Nations | The Nations dataset is a small knowledge graph with 14 entities, 55 relations, and 1992 triples describing countries and their political relationships. This dataset is available for download from https://github.com/ZhenfengLei/KGDatasets. | Provide a detailed description of the following dataset: Nations |
PanLex-BLI | PanLex-based bilingual lexicons for 210 language pairs | Provide a detailed description of the following dataset: PanLex-BLI |
FE108 | Large-scale single-object tracking dataset, containing 108 sequences with a total length of 1.5 hours.
FE108 provides ground truth annotations on both the frame and event domain.
The annotation frequency is up to 40Hz and 240Hz for the frame and event domains, respectively.
FE108 is the largest event-frame-based ... | Provide a detailed description of the following dataset: FE108 |
IntHarmony | This newly curated synthetic dataset specifies an additional reference region to guide image harmonization. There are 118,287 training images and 959 test images. The dataset consists of objects, backgrounds, and people.
IntHarmony has the following information for each data instance: composite image, ground truth,... | Provide a detailed description of the following dataset: IntHarmony |
ToxiGen | A large-scale and machine-generated dataset of 274,186 toxic and benign statements about 13 minority groups.
This dataset uses a demonstration-based prompting framework and an adversarial classifier-in-the-loop decoding method to generate subtly toxic and
benign text with a massive pre-trained language model (GPT-... | Provide a detailed description of the following dataset: ToxiGen |
PET | The dataset contains 45 documents containing narrative description of business process and their annotations. Annotated with activities, gateways, actors, and flow information.
Each document is composed of three files:
Doc_name.txt (Process description in CONLL format)
Doc_name.process-elements.IOB2.txt (Pro... | Provide a detailed description of the following dataset: PET |
PET: A new Dataset for Process Extraction from Natural Language Text | The dataset contains 45 documents containing narrative description of business process and their annotations. Annotated with activities, gateways, actors, and flow information.
Each document is composed of three files:
Doc_name.txt (Process description in CONLL format)
Doc_name.process-elements.IOB2.txt (Pro... | Provide a detailed description of the following dataset: PET: A new Dataset for Process Extraction from Natural Language Text |
EGDB | This dataset contains transcriptions of the electric guitar performance of 240 tablatures, rendered with different tones. The goal is to contribute to automatic music transcription (AMT) of guitar music, a technically challenging task.
Activity signals were captured by attaching a special hexaphonic pickup to each ... | Provide a detailed description of the following dataset: EGDB |
DanceTrack | A large-scale multi-object tracking dataset for human tracking in occlusion, frequent crossover, uniform appearance and diverse body gestures. It is proposed to emphasize the importance of motion analysis in multi-object tracking instead of mainly appearance-matching-based diagram. | Provide a detailed description of the following dataset: DanceTrack |
ChildCIdb | A large-scale, first-of-its-kind database aimed at generating a better understanding of the way children interact with mobile devices during their development process. ChildCIdbv1 comprises data collected from 438 children, from 18 months to 8 years old, encompassing the first three development stages of Piaget's theor... | Provide a detailed description of the following dataset: ChildCIdb |
VidHarm | **VidHarm** is a professionally annotated dataset for detection of harmful content in video. Include 3589 annotate video clips from a variety of film trailers. In contrast to previous approaches which mostly use meta data from long sequences, it uses the raw video and focus on short clips. | Provide a detailed description of the following dataset: VidHarm |
Spatial Commonsense Graph Dataset | Dataset built from partial reconstructions of real-world indoor scenes using RGB-D sequences from ScanNet, aimed at estimating the unknown position of an object (e.g. where is the bag?) given a partial 3D scan of a scene. The dataset mostly consists of bedrooms, bathrooms, and living rooms. Some room types like closet ... | Provide a detailed description of the following dataset: Spatial Commonsense Graph Dataset |
HOPE-Image | The NVIDIA HOPE datasets consist of RGBD images and video sequences with labeled 6-DoF poses for 28 toy grocery objects. The toy grocery objects are readily available for purchase and have ideal size and weight for robotic manipulation. 3D textured meshes for generating synthetic training data are provided.
The HOPE... | Provide a detailed description of the following dataset: HOPE-Image |
HOPE-Video | The HOPE-Video dataset contains 10 video sequences (2038 frames) with 5-20 objects on a tabletop scene captured by a robot arm-mounted RealSense D415 RGBD camera. In each sequence, the camera is moved to capture multiple views of a set of objects in the robotic workspace. First COLMAP was applied to refine the camera p... | Provide a detailed description of the following dataset: HOPE-Video |
Heritage Health Prize | Heritage Provider Network is providing Competition Entrants with deidentified member data collected during a forty-eight month period that is allocated among three data sets (the "Data Sets"). Competition Entrants will use the Data Sets to develop and test their algorithms for accurately predicting the number of days t... | Provide a detailed description of the following dataset: Heritage Health Prize |
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