dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
Olivetti face | This dataset contains a set of face images taken between April 1992 and April 1994 at AT&T Laboratories Cambridge. | Provide a detailed description of the following dataset: Olivetti face |
Sentence-level argument annotation | The dataset is based on a debate.org crawl. It is restricted to a subset of four out of the total 23 categories -- politics, society, economics and science -- and contains additional annotations. 3 human annotators familiar with linguistics segmented these documents and labeled them as being of medium or low quality, t... | Provide a detailed description of the following dataset: Sentence-level argument annotation |
debatepedia | Debatepedia is a debate platform that lists arguments to a topic on one
page, including subtitles, structuring the arguments into different aspects. | Provide a detailed description of the following dataset: debatepedia |
debate.org | Debate.org is a debate platform that is organized in rounds where each of two opponents submits posts arguing for their side. | Provide a detailed description of the following dataset: debate.org |
Student Essay | Student Essay is widely used in research on argument segmentation | Provide a detailed description of the following dataset: Student Essay |
Chaoyang | Chaoyang dataset contains 1111 normal, 842 serrated, 1404 adenocarcinoma, 664 adenoma, and 705 normal, 321 serrated, 840 adenocarcinoma, 273 adenoma samples for training and testing, respectively. This noisy dataset is constructed in the real scenario.
- Details: Colon slides from Chaoyang hospital, the patch size... | Provide a detailed description of the following dataset: Chaoyang |
CRC | Request access: cadpath.ai@impdiagnostics.com
The CRC dataset contains 1133 colorectal biopsy and polypectomy slides and is the result of our ongoing efforts to contribute to CRC diagnosis with a reference dataset. We aim to detect high-grade lesions with high sensitivity. High-grade lesions encompass conventional a... | Provide a detailed description of the following dataset: CRC |
MEFB | The MEFB consists of a test set of 100 image pairs. | Provide a detailed description of the following dataset: MEFB |
RISeC | We propose a newly annotated dataset for information extraction on recipes. Unlike previous approaches to machine comprehension of procedural texts, we avoid a priori pre-defining domain-specific predicates to recognize (e.g., the primitive instructionsin MILK) and focus on basic understanding of the expressed semantic... | Provide a detailed description of the following dataset: RISeC |
FALLMUD | FAscicle Lower Leg Muscle Ultrasound Dataset is a dataset composed of 812 ultrasound images of lower leg muscles to analyze muscle weaknesses and prevent injuries.
It combines the datasets provided by two articles, βEstimating Full Regional Skeletal Muscle Fibre Orientation from B-Mode Ultrasound Images Using Convolut... | Provide a detailed description of the following dataset: FALLMUD |
BCNB | Breast cancer (BC) has become the greatest threat to womenβs health worldwide. Clinically, identification of axillary lymph node (ALN) metastasis and other tumor clinical characteristics such as ER, PR, and so on, are important for evaluating the prognosis and guiding the treatment for BC patients.
Several studies i... | Provide a detailed description of the following dataset: BCNB |
LHC Olympics 2020 | These are the official datasets for the LHC Olympics 2020 Anomaly Detection Challenge. Each "black box" contains 1M events meant to be representative of actual LHC data. These events may include signal(s) and the challenge consists of finding these signals using the method of your choice. We have uploaded a total of TH... | Provide a detailed description of the following dataset: LHC Olympics 2020 |
SSD | SSD (Sub-slot Dialog) dataset: This is the dataset for the ACL 2022 paper "A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots". [arxiv](https://arxiv.org/pdf/2203.10759.pdf) | Provide a detailed description of the following dataset: SSD |
Banglish | A Bilingual Dataset for Bangla and English Voice Commands
Colloquial Bangla has adopted many English words due to colonial influence. In conversational Bangla, it is quite common to speak in a mixture of English and Bangla. This phenomenon, prevalent in conversational language is known as code-switching (CS). CS is ... | Provide a detailed description of the following dataset: Banglish |
washed_contract | Dataset contains about 48K contracts which are open source on Etherscan. | Provide a detailed description of the following dataset: washed_contract |
TekGen | The Dataset is part of the KELM corpus
This is the Wikipedia text--Wikidata KG aligned corpus used to train the data-to-text generation model. Please note that this is a corpus generated with distant supervision and should not be used as gold standard for evaluation.
It consists of 3 files:
https://storage... | Provide a detailed description of the following dataset: TekGen |
DaReCzech | ## DareCzech
DaReCzech is a dataset for text relevance ranking in Czech. The dataset consists of more than 1.6M annotated query-documents pairs, which makes it one of the largest available datasets for this task.
### Obtaining the Annotated Data
Please, first read [a disclaimer](https://github.com/seznam/DaReCze... | Provide a detailed description of the following dataset: DaReCzech |
MAD | MAD (Movie Audio Descriptions) is an automatically curated large-scale dataset for the task of natural language grounding in videos or natural language moment retrieval.
MAD exploits available audio descriptions of mainstream movies. Such audio descriptions are redacted for visually impaired audiences and are therefor... | Provide a detailed description of the following dataset: MAD |
Crowd 11 | This dataset defines a total of 11 crowd motion patterns and it is composed of over 6000 video sequences with an average length of 100 frames per sequence.
This documentation presents how to download and process the Crowd-11 dataset.
If you use this dataset, please cite our paper:
```
Camille Dupont, Luis Tobias,... | Provide a detailed description of the following dataset: Crowd 11 |
AAAC | DeepA2 is a modular framework for deep argument analysis. DeepA2 datasets contain comprehensive logical reconstructions of informally presented arguments in short argumentative texts. This item references two two synthetic DeepA2 datasets for artificial argument analysis: AAAC01 and AAAC02. | Provide a detailed description of the following dataset: AAAC |
SuperCaustics | SuperCaustics is a simulation tool made in Unreal Engine for generating massive computer vision datasets that include transparent objects.
SuperCaustics is a real-time, open-source simulation of transparent objects designed for deep learning applications. SuperCaustics features extensive modules for stochastic envir... | Provide a detailed description of the following dataset: SuperCaustics |
Supplementary data: "Revealing drivers and risks for power grid frequency stability with explainable AI" | This repository contains processed data and result files for the paper "Revealing drivers and risks for power grid frequency stability with explainable AI". | Provide a detailed description of the following dataset: Supplementary data: "Revealing drivers and risks for power grid frequency stability with explainable AI" |
Pre-Processed Power Grid Frequency Time Series | This repository contains ready-to-use frequency time series as well as the corresponding pre-processing scripts in python. | Provide a detailed description of the following dataset: Pre-Processed Power Grid Frequency Time Series |
PartImageNet | **PartImageNet** is a large, high-quality dataset with part segmentation annotations. It consists of 158 classes from [ImageNet](/dataset/imagenet) with approximately 24000 images. PartImageNet offers part-level annotations on a general set of classes with non-rigid, articulated objects, while having an order of magnit... | Provide a detailed description of the following dataset: PartImageNet |
CDC fluview | country- and state-level historical ILI data from
2010 to 2018 from the CDC (CDC). | Provide a detailed description of the following dataset: CDC fluview |
MDBD | In order to study the interaction of several early visual cues (luminance, color, stereo, motion) during boundary detection in challenging natural scenes, we have built a multi-cue video dataset composed of short binocular video sequences of natural scenes using a consumer-grade Fujifilm stereo camera (MΓ©ly, Kim, McGil... | Provide a detailed description of the following dataset: MDBD |
NASA C-MAPSS-2 | The generation of data-driven prognostics models requires the availability of datasets with run-to-failure trajectories. In order to contribute to the development of these methods, the dataset provides a new realistic dataset of run-to-failure trajectories for a small fleet of aircraft engines under realistic flight co... | Provide a detailed description of the following dataset: NASA C-MAPSS-2 |
INSTANCE | INSTANCE is a data collection of more than 1.3 million seismic waveforms originating from a selection of about 54,000 earthquakes occurred since 2005 in Italy and surrounding regions and seismic noise recordings randomly extracted from event free time windows of the continuous waveforms archive. The purpose is to provi... | Provide a detailed description of the following dataset: INSTANCE |
GIF Reply Dataset | The released GIF Reply dataset contains 1,562,701 real text-GIF conversation turns on Twitter. In these conversations, 115,586 unique GIFs are used. Metadata, including OCR extracted text, annotated tags, and object names, are also available for some GIFs in this dataset.
For more details about the dataset, check ou... | Provide a detailed description of the following dataset: GIF Reply Dataset |
JUSTICE | The dataset contains 3304 cases from the Supreme Court of the United States from 1955 to 2021. Each case has the case's identifiers as well as the facts of the case and the decision outcome. Other related datasets rarely included the facts of the case which could prove to be helpful in natural language processing appli... | Provide a detailed description of the following dataset: JUSTICE |
MultiviewC | The MultiviewC dataset mainly contributes to multiview cattle action recognition, 3D objection detection and tracking. We build a novel synthetic dataset MultiviewC through UE4 based on real cattle video dataset which is offered by CISRO. The format of our data set has been adjusted on the basis of MultiviewX for set-u... | Provide a detailed description of the following dataset: MultiviewC |
VFP290K | Vision-based Fallen Person (VFP290K) is a novel, large-scale dataset for the detection of fallen persons composed of fallen person images collected in various real-world scenarios. VFP290K consists of 294,714 frames of fallen persons extracted from 178 videos, including 131 scenes in 49 locations. | Provide a detailed description of the following dataset: VFP290K |
Adressa | The Adressa Dataset is a news dataset that includes news articles (in Norwegian) in connection with anonymized users. We hope that this dataset will be helpful to achieve a better understanding of the news articles in conjunction with their readers.
This dataset is published with the collaboration of Norwegian Univers... | Provide a detailed description of the following dataset: Adressa |
PsyQA | **PsyQA** is a Chinese Dataset for generating long counseling text for mental health support. | Provide a detailed description of the following dataset: PsyQA |
CALVIN | CALVIN (Composing Actions from Language and Vision), is an open-source simulated benchmark to learn long-horizon language-conditioned robot manipulation tasks. | Provide a detailed description of the following dataset: CALVIN |
BIG-bench | The **Beyond the Imitation Game Benchmark** (BIG-bench) is a collaborative benchmark intended to probe large language models and extrapolate their future capabilities. Big-bench include more than 200 tasks.
Image source: [https://arxiv.org/pdf/2206.04615.pdf](https://arxiv.org/pdf/2206.04615.pdf) | Provide a detailed description of the following dataset: BIG-bench |
PubMed Cognitive Control Abstracts | A collection of 385,705 scientific abstracts about Cognitive Control and their GPT-3 embeddings. | Provide a detailed description of the following dataset: PubMed Cognitive Control Abstracts |
MIT-BIH Malignant Ventricular Ectopy Database (VFDB) | This database includes 22 half-hour ECG recordings of subjects who experienced episodes of sustained ventricular tachycardia, ventricular flutter, and ventricular fibrillation. The reference annotation (.atr) files contain only rhythm labels (no beat labels). | Provide a detailed description of the following dataset: MIT-BIH Malignant Ventricular Ectopy Database (VFDB) |
AF Classification from a Short Single Lead ECG Recording - The PhysioNet Computing in Cardiology Challenge 2017 | The 2017 PhysioNet/CinC Challenge aims to encourage the development of algorithms to classify, from a single short ECG lead recording (between 30 s and 60 s in length), whether the recording shows normal sinus rhythm, atrial fibrillation (AF), an alternative rhythm, or is too noisy to be classified. | Provide a detailed description of the following dataset: AF Classification from a Short Single Lead ECG Recording - The PhysioNet Computing in Cardiology Challenge 2017 |
MultiSports | Spatio-temporal action detection is an important and challenging problem in video understanding. The existing action detection benchmarks are limited in aspects of small numbers of instances in a trimmed video or low-level atomic actions. This paper aims to present a new multi-person dataset of spatio-temporal localize... | Provide a detailed description of the following dataset: MultiSports |
ECG in High Intensity Exercise Dataset | The data presented here was extracted from a larger dataset collected through a collaboration between the Embedded Systems Laboratory (ESL) of the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland and the Institute of Sports Sciences of the University of Lausanne (ISSUL). In this dataset, we report ... | Provide a detailed description of the following dataset: ECG in High Intensity Exercise Dataset |
Concepticon | This resource, our Concepticon, links concept labels from different conceptlists to concept sets. Each concept set is given a unique identifier, a unique label, and a human-readable definition. Concept sets are further structured by defining different relations between the concepts, as you can see in the graphic to the... | Provide a detailed description of the following dataset: Concepticon |
BOVText | BOVText is a new large-scale benchmark dataset named Bilingual, Open World Video Text(BOVText), the first large-scale and multilingual benchmark for video text spotting in a variety of scenarios. All data are collected from KuaiShou and YouTube | Provide a detailed description of the following dataset: BOVText |
HIU-DMTL-Data | See the paper for more details. | Provide a detailed description of the following dataset: HIU-DMTL-Data |
Aircraft Context Dataset | The Aircraft Context Dataset, a composition of two inter-compatible large-scale and versatile image datasets focusing on manned aircraft and UAVs, is intended for training and evaluating classification, detection and segmentation models in aerial domains. Additionally, a set of relevant meta-parameters can be used to q... | Provide a detailed description of the following dataset: Aircraft Context Dataset |
PTR | **PTR** is a new large-scale diagnostic visual reasoning dataset for research around part-based conceptual, relational and physical reasoning. PTR contains around 70k RGBD synthetic images with ground truth object and part level annotations regarding semantic instance segmentation, color attributes, spatial and geometr... | Provide a detailed description of the following dataset: PTR |
RealFaceDB | The dataset contains patches of facial reflectance as described in the paper, namely the diffuse albedo, diffuse normals, specular albedo, specular normals, as well as the shape in UV space. For the shape, reconstructed meshes have been registered to a common topology and the XYZ values of the points have been mapped t... | Provide a detailed description of the following dataset: RealFaceDB |
Yelp-Fraud | Yelp-Fraud is a multi-relational graph dataset built upon the [Yelp spam review dataset](http://odds.cs.stonybrook.edu/yelpchi-dataset/), which can be used in evaluating graph-based node classification, fraud detection, and anomaly detection models.
- **Dataset Statistics**
| # Nodes | %Fraud Nodes (Class=1) |
... | Provide a detailed description of the following dataset: Yelp-Fraud |
Amazon-Fraud | Amazon-Fraud is a multi-relational graph dataset built upon the [Amazon review dataset](https://jmcauley.ucsd.edu/data/amazon/), which can be used in evaluating graph-based node classification, fraud detection, and anomaly detection models.
- **Dataset Statistics**
| # Nodes | %Fraud Nodes (Class=1)|
|-------... | Provide a detailed description of the following dataset: Amazon-Fraud |
ForgeryNet | We construct the ForgeryNet dataset, an extremely large face forgery dataset with unified annotations in image- and video-level data across four tasks: 1) Image Forgery Classification, including two-way (real / fake), three-way (real / fake with identity-replaced forgery approaches / fake with identity-remained forgery... | Provide a detailed description of the following dataset: ForgeryNet |
ECG Heartbeat Categorization Dataset | This dataset consists of a series of CSV files. Each of these CSV files contain a matrix, with each row representing an example in that portion of the dataset. The final element of each row denotes the class to which that example belongs.
Acknowledgements: Mohammad Kachuee, Shayan Fazeli, and Majid Sarrafzadeh. "ECG... | Provide a detailed description of the following dataset: ECG Heartbeat Categorization Dataset |
3D Datasets of Broccoli in the Field | This work was undertaken by members of the Lincoln Centre for Autonomous Systems, University of Lincoln, UK. The four data collection sessions were conducted at three different sites in Lincolnshire, UK and one in Murcia, Spain (see Fig. 1). The sessions were conducted at the beginning and towards the end of harvesting... | Provide a detailed description of the following dataset: 3D Datasets of Broccoli in the Field |
Ladybird Cobbitty 2017 Brassica Dataset | This data set contains weekly scans of cauliflower and broccoli covering a ten week growth cycle from transplant to harvest. The data set includes ground-truth, physical characteristics of the crop; environmental data collected by a weather station and a soil-senor network; and scans of the crop performed by an autonom... | Provide a detailed description of the following dataset: Ladybird Cobbitty 2017 Brassica Dataset |
ShadowLink | ShadowLink dataset is designed to evaluate the impact of entity overshadowing on the task of entity disambiguation. Paper: "Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing" by Vera Provatorova, Svitlana Vakulenko, Samarth Bhargav, Evangelos Kanoulas. EMNLP 2021. | Provide a detailed description of the following dataset: ShadowLink |
Large Labelled Logo Dataset (L3D) | It is composed of around 770k of color 256x256 RGB images extracted from the European Union Intellectual Property Office (EUIPO) open registry. Each of them is associated to multiple labels that classify the figurative and textual elements that appear in the images. These annotations have been classified by the EUIPO e... | Provide a detailed description of the following dataset: Large Labelled Logo Dataset (L3D) |
ValueNet | We present a new large-scale human value dataset called ValueNet, which contains human attitudes on 21,374 text scenarios. The dataset is organized in ten dimensions that conform to the basic human value theory in intercultural research. | Provide a detailed description of the following dataset: ValueNet |
MFA | The **MFA (Many Faces of Anger)** dataset includes 200 in-the-wild videos from North American and Persian cultures with fine-grained labels of: 'annoyed', 'anger', 'disgust', 'hatred' and 'furious' and 13 related emojis.
Image source: [https://arxiv.org/pdf/2112.05267.pdf](https://arxiv.org/pdf/2112.05267.pdf) | Provide a detailed description of the following dataset: MFA |
Statutory Interpretation Data Set | This dataset contains a set of sentences by extracting all the sentences mentioning the term from the court decisions retrieved from the Caselaw access project data.
In total the corpus consists of 26,959 sentences.
The sentences are classified into four categories according to their usefulness for the interpreta... | Provide a detailed description of the following dataset: Statutory Interpretation Data Set |
The RoboCup Rescue Dataset | In this paper, we introduce a victim dataset for the RoboCup Rescue competitions. The RoboCup Rescue robots have to collect points within several disciplines, e.g. a search task within an area to survey simulated baby doll (victim).
When a robot comes across a victim, a heat detector does not completely proof if thi... | Provide a detailed description of the following dataset: The RoboCup Rescue Dataset |
PHANTOM | To evaluate the presented approaches, we created the Physical Anomalous Trajectory or Motion (PHANTOM) dataset consisting of six classes featuring everyday objects or physical setups, and showing nine different kinds of anomalies. We designed our classes to evaluate detection of various modes of video abnormalities tha... | Provide a detailed description of the following dataset: PHANTOM |
GOF | Optical Flow in challenging scenes with gyroscope readings! | Provide a detailed description of the following dataset: GOF |
AliMeeting | AliMeeting corpus consists of 120 hours of recorded Mandarin meeting data, including far-field data collected by 8-channel microphone array as well as near-field data collected by headset microphone. Each meeting session is composed of 2-4 speakers with different speaker overlap ratio, recorded in rooms with different ... | Provide a detailed description of the following dataset: AliMeeting |
PatternNet | PatternNet is a large-scale high-resolution remote sensing dataset collected for remote sensing image retrieval. There are 38 classes and each class has 800 images of size 256Γ256 pixels. The images in PatternNet are collected from Google Earth imagery or via the Google Map API for some US cities. The following table s... | Provide a detailed description of the following dataset: PatternNet |
HT1080WT cells - 3D collagen type I matrices | Human fibrosarcoma HT1080WT (ATCC) cells at low cell densities embedded in 3D collagen type I matrices [1]. The time-lapse videos were recorded every 2 minutes for 16.7 hours and covered a field of view of 1002 pixels Γ 1004 pixels with a pixel size of 0.802 ΞΌm/pixel The videos were pre-processed to correct frame-to-fr... | Provide a detailed description of the following dataset: HT1080WT cells - 3D collagen type I matrices |
LfGP Data | The expert data and trained models used for our Learning from Guided Play paper. For details on use, see our open source repository at https://github.com/utiasSTARS/lfgp. | Provide a detailed description of the following dataset: LfGP Data |
deepMTJ | [](https://colab.research.google.com/github/luuleitner/deepMTJ/blob/master/mtj_tracking/predict/mtj_tracking.ipynb)
deepMTJ: Muscle-Tendon Junction Tracking in Ultrasound Images
-------------------------------------------------------------
... | Provide a detailed description of the following dataset: deepMTJ |
PeopleSansPeople | In recent years, person detection and human pose estimation have made great strides, helped by large-scale labeled datasets. However, these datasets had no guarantees or analysis of human activities, poses, or context diversity. Additionally, privacy, legal, safety, and ethical concerns may limit the ability to collect... | Provide a detailed description of the following dataset: PeopleSansPeople |
CPPE-5 | CPPE - 5 (Medical Personal Protective Equipment) is a new challenging dataset with the goal to allow the study of subordinate categorization of medical personal protective equipments, which is not possible with other popular data sets that focus on broad level categories.
Some features of this dataset are:
* high... | Provide a detailed description of the following dataset: CPPE-5 |
MPOSE2021 | MPOSE2021, a dataset for real-time short-time HAR, suitable for both pose-based and RGB-based methodologies. It includes 15,429 sequences from 100 actors and different scenarios, with limited frames per scene (between 20 and 30). In contrast to other publicly available datasets, the peculiarity of having a constrained ... | Provide a detailed description of the following dataset: MPOSE2021 |
Semantic Segmentation Vineyard Rows | ## Test dataset for Semantic Segmentation.
The datasets includes 500 RGB - images with the relative single-channel binary masks.
Images are taken from the vineyards in Grugliasco - Turin - Piedmont Region -Italy | Provide a detailed description of the following dataset: Semantic Segmentation Vineyard Rows |
QST | QST contains `1,167` video clips that are cut out from `216 time-lapse 4K videos` collected from YouTube, which can be used for a variety of tasks, such as **`(high-resolution) video generation`**, **`(high-resolution) video prediction`**, **`(high-resolution) image generation`**, **`texture generation`**, **`image inp... | Provide a detailed description of the following dataset: QST |
Stanford 3D Scanning Repository | In recent years, the number of range scanners and surface reconstruction algorithms has been growing rapidly. Many researchers, however, do not have access to scanning facilities or dense polygonal models. The purpose of this repository is to make some range data and detailed reconstructions available to the public. | Provide a detailed description of the following dataset: Stanford 3D Scanning Repository |
Montreal Archive of Sleep Studies | The Montreal Archive of Sleep Studies (MASS) is an open-access and collaborative database of laboratory-based polysomnography (PSG) recordings OβReilly, C., et al. (2014) J Seep Res, 23(6):628-635. Its goal is to provide a standard and easily accessible source of data for benchmarking the various systems developed to h... | Provide a detailed description of the following dataset: Montreal Archive of Sleep Studies |
SyntheticChairSketch | The dataset contains naive and stylized sketches for a chair category of the ShapeNetCore dataset. Each chair shape folder contains two subfolders: "naive" and "stylized", representing two rendering styles.
https://cvssp.org/data/SyntheticChairSketch/ | Provide a detailed description of the following dataset: SyntheticChairSketch |
Cross-cultural pop song mood ratings (US, KR, BR) | - Mood ratings of 8 emotions gathered across 360 pop songs
- 166 raters from US, S.Korea and Brazil
- MIR features from Spotify | Provide a detailed description of the following dataset: Cross-cultural pop song mood ratings (US, KR, BR) |
DISRPT2019 | The DISRPT 2019 workshop introduces the first iteration of a cross-formalism shared task on discourse unit segmentation. Since all major discourse parsing frameworks imply a segmentation of texts into segments, learning segmentations for and from diverse resources is a promising area for converging methods and insights... | Provide a detailed description of the following dataset: DISRPT2019 |
DISRPT2021 | The DISRPT 2021 shared task, co-located with CODI 2021 at EMNLP, introduces the second iteration of a cross-formalism shared task on discourse unit segmentation and connective detection, as well as the first iteration of a cross-formalism discourse relation classification task.
We provide training, development and t... | Provide a detailed description of the following dataset: DISRPT2021 |
PuzzTe | Puzzles dataset: comparison, knight&knaves, and zebra puzzles. | Provide a detailed description of the following dataset: PuzzTe |
CODD | The Cooperative Driving dataset is a synthetic dataset generated using CARLA that contains lidar data from multiple vehicles navigating simultaneously through a diverse set of driving scenarios. This dataset was created to enable further research in multi-agent perception (cooperative perception) including cooperative ... | Provide a detailed description of the following dataset: CODD |
GUM | GUM is an open source multilayer English corpus of richly annotated texts from twelve text types. Annotations include:
* Multiple POS tags, morphological features and lemmatization
* Sentence segmentation and rough speech act
* Document structure in TEI XML (paragraphs, headings, figures, etc.)
* ISO date... | Provide a detailed description of the following dataset: GUM |
AMALGUM | AMALGUM is a machine annotated multilayer corpus following the same design and annotation layers as GUM, but substantially larger (around 4M tokens). The goal of this corpus is to close the gap between high quality, richly annotated, but small datasets, and the larger but shallowly annotated corpora that are often scra... | Provide a detailed description of the following dataset: AMALGUM |
Faster__convergence_MOEAD | Dataset with raw outputs of experiments connected to the GitHub repository:
https://github.com/yurilavinas/MOEADr/tree/ECJ
The size of the data is big, make sure to have enough space. | Provide a detailed description of the following dataset: Faster__convergence_MOEAD |
Webis-STEREO-21 | We present the Webis-STEREO-21 dataset, a massive collection of Scientific Text Reuse in Open-access publications. It contains more than 91 million cases of reused text passages found in 4.2 million unique open-access publications. Featuring a high coverage of scientific disciplines and varieties of reuse, as well as c... | Provide a detailed description of the following dataset: Webis-STEREO-21 |
TUAC | A new subset of the popular open source electroencephalogram (EEG) corpus β TUH EEG:
- The Temple University Artifact Corpus (TUAR) consists of high yield artifact files annotated using a five-way classification system:
1. Chewing (CHEW): An artifact resulting from the tensing and relaxing of the jaw muscles.
2. Ele... | Provide a detailed description of the following dataset: TUAC |
NepaliNewsCorpus | # Nepali News Corpus
## Raw nepali text scrapped from several online websites.
### Total file size of concatenated text file -> 4.6 GB.
## This raw text corpus can be used for tasks such as casual language modelling and masked language modelling. | Provide a detailed description of the following dataset: NepaliNewsCorpus |
Epinions social network | This is a who-trust-whom online social network of a general consumer review site Epinions.com. Members of the site can decide whether to ''trust'' each other. All the trust relationships interact and form the Web of Trust which is then combined with review ratings to determine which reviews are shown to the user.
No... | Provide a detailed description of the following dataset: Epinions social network |
AFLW-19 | The [original AFLW](https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/aflw/) provides at most 21 points for each face, but excluding coordinates for invisible landmarks, causing difficulties for training most of the existing baseline approaches. To make fair comparisons, the authors manually annot... | Provide a detailed description of the following dataset: AFLW-19 |
Covid Dataset | The COVID-19 CT dataset is constructed by Shenzhen Research Institute of Big Data (SRIBD), Future Network of Intelligence Institute (FNii) and CUHKSZ-JD Joint AI Lab, Chinese University of Hongkong, Shenzhen, China, which contains 368 medical findings in Chinese and 1,104 chest CT scans from the First Affiliated Hospit... | Provide a detailed description of the following dataset: Covid Dataset |
The Reddit COVID Dataset | The Reddit COVID Dataset is a dataset of 4.51M Reddit posts and 17.8M comments - all mentions of COVID until 2021-10-25 across the entire Reddit social network.
Both were procured with [SocialGrep's export feature](https://socialgrep.com/exports?utm_source=paperswithcode&utm_medium=link&utm_campaign=theredditcoviddata... | Provide a detailed description of the following dataset: The Reddit COVID Dataset |
M2DGR | We collected long-term challenging sequences for ground robots both indoors and outdoors with a complete sensor suite, which includes six surround-view fish-eye cameras, a sky-pointing fish-eye camera, a perspective color camera, an event camera, an infrared camera, a 32-beam LIDAR, two GNSS receivers, and two IMUs. To... | Provide a detailed description of the following dataset: M2DGR |
Grasping dataset: suction-based | A small and simple dataset featuring RGB-D images and heightmaps of various objects in a bin with manually annotated suctionable regions | Provide a detailed description of the following dataset: Grasping dataset: suction-based |
IWSLT 2017 | The IWSLT 2017 translation dataset. | Provide a detailed description of the following dataset: IWSLT 2017 |
AU Dataset for Visuo-Haptic Object Recognition for Robots | Multimodal object recognition is still an emerging field. Thus, publicly available datasets are still rare and of small size. This dataset was developed to help fill this void and presents multimodal data for 63 objects with some visual and haptic ambiguity. The dataset contains visual, kinesthetic and tactile (audio/v... | Provide a detailed description of the following dataset: AU Dataset for Visuo-Haptic Object Recognition for Robots |
Pre-trained Transliterated Embeddings for Indian Languages | We release various types of word embeddings for multiple Indian languages. Please note that for a majority of our work, we had transliterated the corpora to the Devanagiri script and the script is changed. Word Embedding models using FastText, ElMo, and cross-lingual models based on an orthogonal alignment of monolingu... | Provide a detailed description of the following dataset: Pre-trained Transliterated Embeddings for Indian Languages |
Phishing and Benign Websites | An annotated dataset of 38,800 phishing and benign websites. | Provide a detailed description of the following dataset: Phishing and Benign Websites |
2012 i2b2 Temporal Relations | The Sixth Informatics for Integrating Biology and the Bedside (i2b2) Natural Language Processing Challenge for Clinical Records focused on the temporal relations in clinical narratives. The organizers provided the research community with a corpus of discharge summaries annotated with temporal information, to be used fo... | Provide a detailed description of the following dataset: 2012 i2b2 Temporal Relations |
eICU-CRD | The eICU Collaborative Research Database is a large multi-center critical care database made available by Philips Healthcare in partnership with the MIT Laboratory for Computational Physiology.
The eICU Collaborative Research Database holds data associated with over 200,000 patient stays, providing a large sample si... | Provide a detailed description of the following dataset: eICU-CRD |
Evolutionary Illusion Generator Illusions | A dataset of illusions generated by the AI model EIGen. | Provide a detailed description of the following dataset: Evolutionary Illusion Generator Illusions |
PredNet Grayscale Model Weights | A pretrained PredNet neural network, used in EIGen to generate grayscale illusions. | Provide a detailed description of the following dataset: PredNet Grayscale Model Weights |
PredNet Color Model Weights | A pretrained PredNet neural network, used in EIGen to generate color illusions. | Provide a detailed description of the following dataset: PredNet Color Model Weights |
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