dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
Schwerin | Schwerin contains handwritten texts written in medieval German. Train sample consists of 793 lines, validation - 68 lines and test - 196 lines. | Provide a detailed description of the following dataset: Schwerin |
WorldKG | The WorldKG knowledge graph is a comprehensive large-scale geospatial knowledge graph based on OpenStreetMap that provides a semantic representation of geographic entities from over 188 countries. WorldKG contains a higher number of representations of geographic entities compared to other knowledge graphs and can be us... | Provide a detailed description of the following dataset: WorldKG |
TVRecap | **TVRecap** a story generation dataset that requires generating detailed TV show episode recaps from a brief summary and a set of documents describing the characters involved. Unlike other story generation datasets, TVRecap contains stories that are authored by professional screenwriters and that feature complex intera... | Provide a detailed description of the following dataset: TVRecap |
HYouTube | **HYouTube** is a video for Video harmonization, which aims to adjust the foreground of a composite video to make it compatible with the background. The dataset was created by adjusting the foreground of real videos to create synthetic composite videos. It is based on [Youtube-VOS](https://paperswithcode.com/dataset/yo... | Provide a detailed description of the following dataset: HYouTube |
EFO-1-QA | **EFO-1-QA** is a new dataset to benchmark the combinatorial generalizability of Complex Query Answering (CQA) models by including 301 different queries types, which is 20 times larger than existing datasets. | Provide a detailed description of the following dataset: EFO-1-QA |
ISIC 2020 Challenge Dataset | The dataset contains 33,126 dermoscopic training images of unique benign and malignant skin lesions from over 2,000 patients. Each image is associated with one of these individuals using a unique patient identifier. All malignant diagnoses have been confirmed via histopathology, and benign diagnoses have been confirmed... | Provide a detailed description of the following dataset: ISIC 2020 Challenge Dataset |
EUEN17037_Daylight_and_View_Standard_TestDataSet | EUEN17037 Daylight and View Standard Test Dataset. | Provide a detailed description of the following dataset: EUEN17037_Daylight_and_View_Standard_TestDataSet |
quantumNoise | The dataset consists in many runs of the same quantum circuit on different IBM quantum machines. We used 9 different machines and for each one of them, we run 2000 executions of the circuit. The circuit has 9 differents measurement steps along it. To obtain the 9 outcome distributions, for each execution, parts of the ... | Provide a detailed description of the following dataset: quantumNoise |
BiRdQA | BiRdQA is a bilingual multiple-choice question answering dataset with 6614 English riddles and 8751 Chinese riddles.
Image source: [https://arxiv.org/pdf/2109.11087v1.pdf](https://arxiv.org/pdf/2109.11087v1.pdf) | Provide a detailed description of the following dataset: BiRdQA |
ParaShoot | ParaShoot is the first question answering dataset in modern Hebrew. The dataset follows the format and crowdsourcing methodology of [SQuAD](/dataset/squad), and contains approximately 3000 annotated examples, similar to other question-answering datasets in low-resource languages. | Provide a detailed description of the following dataset: ParaShoot |
Cloud VR gaming network traffic data | Oculus Quest2 VR gaming network traffic data collected at the gaming server. | Provide a detailed description of the following dataset: Cloud VR gaming network traffic data |
CAMELS Multifield Dataset | CMD is a publicly available collection of hundreds of thousands 2D maps and 3D grids containing different properties of the gas, dark matter, and stars from more than 2,000 different universes. The data has been generated from thousands of state-of-the-art (magneto-)hydrodynamic and gravity-only N-body simulations from... | Provide a detailed description of the following dataset: CAMELS Multifield Dataset |
GermEval 2021 - Toxic, Engaging, & Fact-Claiming Comments test set | The data set was provided as part of the GermEval 2021 competition for the identification of toxic, engaging, and fact-claiming comments.
- in total: 4188 anonymized and annotated German Facebook comments
- training set: 3244 comments drawn from a Facebook page of a German political talk show between January till ... | Provide a detailed description of the following dataset: GermEval 2021 - Toxic, Engaging, & Fact-Claiming Comments test set |
Hilti SLAM Challenge | Hilti SLAM Challenge is a dataset for Simultaneous Localization and Mapping (SLAM) algorithms due to sparsity, varying illumination conditions, and dynamic objects. The sensor platform used to collect this dataset contains a number of visual, lidar and inertial sensors which have all been rigorously calibrated. All dat... | Provide a detailed description of the following dataset: Hilti SLAM Challenge |
ERATO | **ERATO** is a large-scale multi-modal dataset for Pairwise Emotional Relationship Recognition (PERR). It has 31,182 video clips, lasting about 203 video hours. Different from the existing datasets, ERATO contains interaction-centric videos with multi-shots, varied video length, and multiple modalities including visual... | Provide a detailed description of the following dataset: ERATO |
CI-ToD | **CI-ToD** is a dataset for Consistency Identification in Task-oriented Dialog system. | Provide a detailed description of the following dataset: CI-ToD |
Wrench | Wrench is a benchmark platform for thorough and standardized evaluation of Weak Supervision (WS). It consists of 22 varied real-world datasets for classification and sequence tagging; a range of real, synthetic, and procedurally-generated weak supervision sources; and a modular, extensible framework for WS evaluation, ... | Provide a detailed description of the following dataset: Wrench |
CoWeSe | **CoWeSe** is a Spanish biomedical corpus consisting of 4.5GB (about 750M tokens) of clean plain text. CoWeSe is the result of a massive crawler on 3000 Spanish domains executed in 2020. | Provide a detailed description of the following dataset: CoWeSe |
METEOR | **METEOR** is a complex traffic dataset which captures traffic patterns in unstructured scenarios in India. METEOR consists of more than 1000 one-minute video clips, over 2 million annotated frames with ego-vehicle trajectories, and more than 13 million bounding boxes for surrounding vehicles or traffic agents. METEOR ... | Provide a detailed description of the following dataset: METEOR |
SketchHairSalon | **SketchHairSalon** is a dataset for hair generation containing thousands of annotated hair sketch-image pairs and corresponding hair mattes. | Provide a detailed description of the following dataset: SketchHairSalon |
XTD10 | **XTD10** is a dataset for cross-lingual image retrieval and tagging consisting of the MSCOCO2014 caption test dataset annotated in 7 languages that were collected using a crowdsourcing platform. | Provide a detailed description of the following dataset: XTD10 |
FloDial | **Flo**wchart Grounded **Dial**og Dataset (**FloDial**) is a corpus of troubleshooting dialogs between a user and an agent collected using Amazon Mechanical Turk. The dataset is accompanied with two knowledge sources over which the dialogs are grounded: (1) a set of troubleshooting flowcharts and (2) a set of FAQs whic... | Provide a detailed description of the following dataset: FloDial |
COME15K | **COME15K** is an RGB-D saliency detection dataset which contains 15,625 image pairs with high quality polygon-/scribble-/object-/instance-/rank-level annotations. | Provide a detailed description of the following dataset: COME15K |
safe-control-gym | **safe-control-gym** is an open-source benchmark suite that extends OpenAI's Gym API with (i) the ability to specify (and query) symbolic models and constraints and (ii) introduce simulated disturbances in the control inputs, measurements, and inertial properties. We provide implementations for three dynamic systems --... | Provide a detailed description of the following dataset: safe-control-gym |
AStitchInLanguageModels | **AStitchInLanguageModels** is a dataset for the exploration of idiomaticity in pre-trained language models. | Provide a detailed description of the following dataset: AStitchInLanguageModels |
Diagnosis of COVID-19 and its clinical spectrum | This dataset contains anonymized data from patients seen at the Hospital Israelita Albert Einstein, at São Paulo, Brazil, and who had samples collected to perform the SARS-CoV-2 RT-PCR and additional laboratory tests during a visit to the hospital.
All data were anonymized following the best international practices ... | Provide a detailed description of the following dataset: Diagnosis of COVID-19 and its clinical spectrum |
WHPA | This dataset was created as part of the following study, which was published in the Journal of Hydrology: *A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area* [https://doi.org/10.1016/j.jhydrol.2021.126903](https://doi.org/10.1016/j.jhydrol.2021.126903).
Th... | Provide a detailed description of the following dataset: WHPA |
IECSIL FIRE-2018 Shared Task | The dataset is taken from the First shared task on Information Extractor for Conversational Systems in Indian Languages (IECSIL) . It consists of 15,48,570 Hindi words in Devanagari script and corresponding NER labels. Each sentence end is marked by \newline" tag. Fig. 1 shows a snapshot of one sentence in the dataset.... | Provide a detailed description of the following dataset: IECSIL FIRE-2018 Shared Task |
Spectre-v1 | * Description
A dataset of assembly functions that are vulnerable to Spectre-V1 attack.
* Motivation
Several techniques have been proposed to detect vulnerable Spectre gadgets in widely deployed commercial software. Unfortunately, detection techniques proposed so far rely on hand-written rules which fall sho... | Provide a detailed description of the following dataset: Spectre-v1 |
MAVS | **MAVS** is an audio-visual smartphone dataset captured in five different recent smartphones. This new dataset contains 103 subjects captured in three different sessions considering the different real-world scenarios. Three different languages are acquired in this dataset to include the problem of language dependency o... | Provide a detailed description of the following dataset: MAVS |
TIAGE | TIAGE is a topic-shift aware dialog benchmark constructed utilizing human annotations on topic shifts. Based on TIAGE, three tasks can be conducted to investigate different scenarios of topic-shift modeling in dialog settings: topic-shift detection, topic-shift triggered response generation and topic-aware dialog gener... | Provide a detailed description of the following dataset: TIAGE |
FusedChat | FusedChat is an inter-mode dialogue dataset. It contains dialogue sessions fusing task-oriented dialogues (TOD) and open-domain dialogues (ODD). Based on MultiWOZ, FusedChat appends or prepends an ODD to every existing TOD. See more details in the paper. | Provide a detailed description of the following dataset: FusedChat |
Panoptic nuScenes | **Panoptic nuScenes** is a benchmark dataset that extends the popular nuScenes dataset with point-wise groundtruth annotations for semantic segmentation, panoptic segmentation, and panoptic tracking tasks. | Provide a detailed description of the following dataset: Panoptic nuScenes |
BUG | **BUG** is a large-scale gender bias dataset of 108K diverse real-world English sentences, sampled semiautomatically from large corpora using lexical syntactic pattern matching | Provide a detailed description of the following dataset: BUG |
D3D-HOI | D3D-HOI is a dataset of monocular videos with ground truth annotations of 3D object pose, shape and part motion during human-object interactions. The dataset consists of several common articulated objects captured from diverse real-world scenes and camera viewpoints. Each manipulated object (e.g., microwave oven) is re... | Provide a detailed description of the following dataset: D3D-HOI |
MuViHand | **MuViHand** is a dataset for 3D Hand Pose Estimation that consists of multi-view videos of the hand along with ground-truth 3D pose labels. The dataset includes more than 402,000 synthetic hand images available in 4,560 videos. The videos have been simultaneously captured from six different angles with complex backgro... | Provide a detailed description of the following dataset: MuViHand |
ItaCoLA | **ItaCoLA** is a corpus for monolingual and cross-lingual acceptability judgments which contains almost 10,000 sentences with acceptability judgments. | Provide a detailed description of the following dataset: ItaCoLA |
Paint4Poem | Paint4Poem consists of 301 high-quality poem-painting pairs collected manually from an influential modern Chinese artist Feng Zikai. | Provide a detailed description of the following dataset: Paint4Poem |
MOLD | **MOLD** is a Marathi dataset for offensive language identification | Provide a detailed description of the following dataset: MOLD |
ROF | **ROF** is a dataset for occluded face recognition that contains faces with both upper face occlusion, due to sunglasses, and lower face occlusion, due to masks. | Provide a detailed description of the following dataset: ROF |
Mr. TYDI | **Mr. TyDi** is a multi-lingual benchmark dataset for mono-lingual retrieval in eleven typologically diverse languages, designed to evaluate ranking with learned dense representations. The goal of this resource is to spur research in dense retrieval techniques in non-English languages, motivated by recent observations ... | Provide a detailed description of the following dataset: Mr. TYDI |
ChMusic | **ChMusic** is a traditional Chinese music dataset for training model and performance evaluation of musical instrument recognition. This dataset cover 11 musical instruments, consisting of Erhu, Pipa, Sanxian, Dizi, Suona, Zhuiqin, Zhongruan, Liuqin, Guzheng, Yangqin and Sheng. | Provide a detailed description of the following dataset: ChMusic |
TFRD | **TFRD** is a dataset to evaluate machine learning modelling methods for theTemperature field reconstruction of heat source systems (TFR-HSS).
The password for the dataset download is "tfrd" | Provide a detailed description of the following dataset: TFRD |
Fishyscapes | **Fishyscapes** is a public benchmark for uncertainty estimation in a real-world task of semantic segmentation for urban driving. It evaluates pixel-wise uncertainty estimates towards the detection of anomalous objects in front of the vehicle. | Provide a detailed description of the following dataset: Fishyscapes |
EU-ADR | The **EU-ADR** corpus is a biomedical relation extraction dataset that contains 100 abstracts, with relations between drug, disorder, and targets. | Provide a detailed description of the following dataset: EU-ADR |
CAT | **CAT** is a specialized dataset for co-saliency detection - one of the core tasks in the field of computer vision. This dataset is intended for both helping to assess the performance of vision algorithms and supporting research that aims to exploit large volumes of annotated data, e.g., for training deep neural networ... | Provide a detailed description of the following dataset: CAT |
FewGLUE_64_labeled | ### Introduction
The FewGLUE_64_labeled dataset is a new version of FewGLUE dataset. It contains a 64-sample training set, a development set (the original SuperGLUE development set), a test set, and an unlabeled set. It is constructed to facilitate the research of few-shot learning for natural language understanding t... | Provide a detailed description of the following dataset: FewGLUE_64_labeled |
DSSE-200 | The DSSE-200 is a complex document layout dataset including various dataset styles. The dataset contains 200 images from pictures, PPT, brochure documents, old newspapers and scanned documents. | Provide a detailed description of the following dataset: DSSE-200 |
PASS | PASS is a large-scale image dataset, containing 1.4 million images, that does not include any humans and which can be used for high-quality pretraining while significantly reducing privacy concerns.
Image source: [https://arxiv.org/pdf/2109.13228v1.pdf](https://arxiv.org/pdf/2109.13228v1.pdf) | Provide a detailed description of the following dataset: PASS |
VQA-MHUG | **VQA-MHUG** is a 49-participant dataset of multimodal human gaze on both images and questions during visual question answering (VQA) collected using a high-speed eye tracker. | Provide a detailed description of the following dataset: VQA-MHUG |
MultiDoc2Dial | MultiDoc2Dial is a new task and dataset on modeling goal-oriented dialogues grounded in multiple documents. Most previous works treat document-grounded dialogue modeling as a machine reading comprehension task based on a single given document or passage. We aim to address more realistic scenarios where a goal-oriented ... | Provide a detailed description of the following dataset: MultiDoc2Dial |
Doc2Dial | For goal-oriented document-grounded dialogs, it often involves complex contexts for identifying the most relevant information, which requires better understanding of the inter-relations between conversations and documents. Meanwhile, many online user-oriented documents use both semi-structured and unstructured contents... | Provide a detailed description of the following dataset: Doc2Dial |
TCP-CI | This dataset is a benchmark of 25 open-source subjects with 21.5k builds and 3.6k failed builds that enables a fair comparison and evaluation of Test Case Prioritization (TCP) techniques. We made our data collection tools available, which can be used to extend and update the subjects. The description of the structure a... | Provide a detailed description of the following dataset: TCP-CI |
VVAD-LRS3 | A dataset for Visual Voice Activity Detection extracted from the LRS3 dataset.
The dataset contains data to train a Visual Voice Activity Detection(VVAD). The data comes in 4 different flavors:
- faceImages: A series of images of faces with the corresponding label True for speaking and False for not speaking
- l... | Provide a detailed description of the following dataset: VVAD-LRS3 |
OpenViDial 2.0 | OpenViDial 2.0 is a larger-scale open-domain multi-modal dialogue dataset compared to the previous version [OpenViDial 1.0](/dataset/openvidial). OpenViDial 2.0 contains a total number of 5.6 million dialogue turns extracted from either movies or TV series from different resources, and each dialogue turn is paired with... | Provide a detailed description of the following dataset: OpenViDial 2.0 |
LEAKAGE-PERSONA Dataset | This is the synthetic dataset used for training a model which alerts users for potential leakages of personal information. | Provide a detailed description of the following dataset: LEAKAGE-PERSONA Dataset |
Lincolnbeet | The Lincolnbeet dataset is an object detection dataset designed to encourage research in the identification of items in environments with high levels of occlusion, and in the development of better approaches to evaluate object detection models in practical scenarios. This dataset was introduced in the paper: "Towards p... | Provide a detailed description of the following dataset: Lincolnbeet |
MFAQ | ** MFAQ** is a multilingual FAQ dataset publicly available. It contains around 6M FAQ pairs from the web, in 21 different languages. Although this is significantly larger than existing FAQ retrieval datasets, it comes with its own challenges: duplication of content and uneven distribution of topics. | Provide a detailed description of the following dataset: MFAQ |
JDDC 2.0 | **JDDC 2.0** is a large-scale multimodal multi-turn dialogue dataset collected from a mainstream Chinese E-commerce platform JD.com, containing about 246 thousand dialogue sessions, 3 million utterances, and 507 thousand images, along with product knowledge bases and image category annotations. The dataset is divided i... | Provide a detailed description of the following dataset: JDDC 2.0 |
MaRVL | **M**ulticultural **R**easoning over **V**ision and **L**anguage (MaRVL) is a dataset based on an ImageNet-style hierarchy representative of many languages and cultures (Indonesian, Mandarin Chinese, Swahili, Tamil, and Turkish). The selection of both concepts and images is entirely driven by native speakers. Afterward... | Provide a detailed description of the following dataset: MaRVL |
REFLACX | The REFLACX dataset contains eye-tracking data for 3,032 readings of chest x-rays by five radiologists. The dictated reports were transcribed and have timestamps synchronized with the eye-tracking data.
Localization labels for abnormalities are very costly, and the collection of eye-tracking data and reports for im... | Provide a detailed description of the following dataset: REFLACX |
EDGAR-CORPUS | EDGAR-CORPUS is a novel corpus comprising annual reports from all the publicly traded companies in the US spanning a period of more than 25 years. All the reports are downloaded, split into their corresponding items (sections), and provided in a clean, easy-to-use JSON format.
Image source: [https://arxiv.org/pdf/2... | Provide a detailed description of the following dataset: EDGAR-CORPUS |
RAFT | The RAFT benchmark (Realworld Annotated Few-shot Tasks) focuses on naturally occurring tasks and uses an evaluation setup that mirrors deployment.
RAFT is a few-shot classification benchmark that tests language models:
- across multiple domains (lit reviews, medical data, tweets, customer interaction, etc.)
- on... | Provide a detailed description of the following dataset: RAFT |
StoryDB | StoryDB is a broad multi-language dataset of narratives. StoryDB is a corpus of texts that includes stories in 42 different languages. Every language includes 500+ stories. Some of the languages include more than 20 000 stories. Every story is indexed across languages and labeled with tags such as a genre or a topic. T... | Provide a detailed description of the following dataset: StoryDB |
JARVIS-DFT | JARVIS-DFT is a repository of density functional theory based calculation data for materials. | Provide a detailed description of the following dataset: JARVIS-DFT |
MiniHack | MiniHack is a sandbox framework for easily designing rich and diverse environments for Reinforcement Learning (RL). MiniHack includes a collection of example environments that can be used to test various capabilities of RL agents, as well as serve as building blocks for researchers wishing to develop their own environm... | Provide a detailed description of the following dataset: MiniHack |
SCIMAT | **SCIMAT** is a large question-answer dataset for mathematics and science problems; such dataset can have impact on online education, intelligent tutoring and automated grading. | Provide a detailed description of the following dataset: SCIMAT |
iShape | **iShape** is an irregular shape dataset for instance segmentation. iShape contains six sub-datasets with one real and five synthetics, each represents a scene of a typical irregular shape. | Provide a detailed description of the following dataset: iShape |
Riedones3D | **Riedones3D** is a dataset of 2,070 scans of coins. With this dataset, the authors propose two benchmarks, one for point cloud registration, essential for coin die recognition, and a benchmark of coin die clustering | Provide a detailed description of the following dataset: Riedones3D |
Contextualised Polyseme Word Sense Dataset v2 | This is a revised and extended second version of a Contextualised Polyseme Word Sense Dataset. The dataset contains two human annotated measures of word sense similarity for polysemic target words used in contexts invoking different sense interpretations. The first set contains graded similarity judgements for highligh... | Provide a detailed description of the following dataset: Contextualised Polyseme Word Sense Dataset v2 |
DVSMOTION20 | This dataset is designed to enhance the progress of event-based optical flow algorithms. The data was collected using the IniVation DAViS346 camera, which has a 346 x 260 spatial resolution. The dataset is classified into camera motion data (stationary scene and moving camera) and object motion data (stationary camera ... | Provide a detailed description of the following dataset: DVSMOTION20 |
BKAI-IGH NeoPolyp-Small | This dataset contains 1200 images (1000 WLI images and 200 FICE images) with fine-grained segmentation annotations. The training set consists of 1000 images, and the test set consists of 200 images. All polyps are classified into neoplastic or non-neoplastic classes denoted by red and green colors, respectively. This ... | Provide a detailed description of the following dataset: BKAI-IGH NeoPolyp-Small |
OV | # Description
OV dataset is the camera calibration dataset. There are 16 lenses ranging from 90° to 180° FOV:
* 2012-A0 (single-plane target)
* 3136-H0 (single-plane target)
* 5501-C4 (single-plane target)
* 130108MP (single-plane target)
* ov00—ov07 (corner target)
* ov00—ov03 (cube target)
Note: We also p... | Provide a detailed description of the following dataset: OV |
Refer-YouTube-VOS | There exist previous works [6, 10] that constructed referring segmentation datasets for videos. Gavrilyuk et al. [6] extended the A2D [33] and J-HMDB [9] datasets with natural sentences; the datasets focus on describing the ‘actors’ and ‘actions’ appearing in videos, therefore the instance annotations are limited to on... | Provide a detailed description of the following dataset: Refer-YouTube-VOS |
Corn Seeds Dataset | This dataset is the images of corn seeds considering the top and bottom view independently (two images for one corn seed: top and bottom). There are four classes of the corn seed (Broken-B, Discolored-D, Silkcut-S, and Pure-P) 17802 images are labeled by the experts at the AdTech Corp. and 26K images were unlabeled out... | Provide a detailed description of the following dataset: Corn Seeds Dataset |
TLDR9+ | TLDR9+ is a large-scale summarization dataset containing over 9 million training instances extracted from Reddit discussion forum. This dataset is specifically gathered to perform extreme summarization (i.e., generating one-sentence summary in high compression and abstraction) and is more than twice larger than the pre... | Provide a detailed description of the following dataset: TLDR9+ |
LexGLUE | Legal General Language Understanding Evaluation (LexGLUE) benchmark is a collection of datasets for evaluating model performance across a diverse set of legal NLU tasks in a standardized way.
Image source: [https://arxiv.org/pdf/2110.00976v1.pdf](https://arxiv.org/pdf/2110.00976v1.pdf) | Provide a detailed description of the following dataset: LexGLUE |
Riseholme-2021 | Risholme-2021 contains >3.5K images of strawberries at various growth stages along with anomalous instances. Data collection was performed in the strawberry research farm at the Riseholme campus of the University of Lincoln in UK. For more details, please check out "Homepage" down below. | Provide a detailed description of the following dataset: Riseholme-2021 |
KG20C | KG20C is a Knowledge Graph about high quality papers from 20 top computer science Conferences. It can serve as a standard benchmark dataset in scholarly data analysis for several tasks, including knowledge graph embedding, link prediction, recommendation systems, and question answering .
For more information and do... | Provide a detailed description of the following dataset: KG20C |
CCIHP | CCIHP dataset is devoted to fine-grained description of people in the wild with localized & characterized semantic attributes. It contains 20 attribute classes and 20 characteristic classes split into 3 categories (size, pattern and color). The dataset has been introduced in this paper: Loesch, A., & Audigier, R. (2021... | Provide a detailed description of the following dataset: CCIHP |
COVID-19 Contact Tracing Survey | A survey of Israelis about their attitudes towards COVID-19 contact tracing apps | Provide a detailed description of the following dataset: COVID-19 Contact Tracing Survey |
COVID-19 Contact Tracing Survey in Israel | A survey of Israelis about their attitudes towards COVID-19 contact tracing apps | Provide a detailed description of the following dataset: COVID-19 Contact Tracing Survey in Israel |
CaDIS | CaDIS: a Cataract Dataset for Image Segmentation is a dataset for semantic segmentation created by Digital Surgery Ltd. on top of the CATARACTS dataset. CaDIS consists of 4670 images sampled from the 25 videos on CATARACTS' training set. Each pixel in each image is labeled with its respective instrument or anatomical c... | Provide a detailed description of the following dataset: CaDIS |
!Optimizer 2021 Data | The data used for !Optimizer 2021 competition, based on seven biological model organisms. | Provide a detailed description of the following dataset: !Optimizer 2021 Data |
Galaxy Zoo DECaLS | Approx. 300,000 images of galaxies labelled by shape.
Labels are from www.galaxyzoo.org volunteers, and are noisy.
Images are from the DECaLS telescope survey.
Also includes predictions from an ensemble of EfficientNets, each using MC Dropout and a novel probabilistic loss function. | Provide a detailed description of the following dataset: Galaxy Zoo DECaLS |
FooDI-ML | Food Drinks and groceries Images Multi Lingual (FooDI-ML) is a dataset that contains over 1.5M unique images and over 9.5M store names, product names descriptions, and collection sections gathered from the Glovo application. The data made available corresponds to food, drinks and groceries products from 37 countries in... | Provide a detailed description of the following dataset: FooDI-ML |
BRAX | Brax is a differentiable physics engine that simulates environments made up of rigid bodies, joints, and actuators. Brax is written in JAX and is designed for use on acceleration hardware. It is both efficient for single-device simulation, and scalable to massively parallel simulation on multiple devices, without the n... | Provide a detailed description of the following dataset: BRAX |
TOAD-GAN | A procedurally generated jump'n'run game with control over level similarity.
Image source: [https://github.com/Mawiszus/TOAD-GAN](https://github.com/Mawiszus/TOAD-GAN) | Provide a detailed description of the following dataset: TOAD-GAN |
RNADesign | An environment for RNA design given structure constraints with structures from different datasets to choose from. | Provide a detailed description of the following dataset: RNADesign |
CARL | CARL (context adaptive RL) provides highly configurable contextual extensions to several well-known RL environments. It's designed to test your agent's generalization capabilities in all scenarios where intra-task generalization is important.
Benchmarks include:
- [OpenAI gym classic control suite](/dataset/opena... | Provide a detailed description of the following dataset: CARL |
WMT 2020 | **WMT 2020** is a collection of datasets used in shared tasks of the Fifth Conference on Machine Translation. The conference builds on a series of annual workshops and conferences on Statistical Machine Translation.
The conference featured ten shared tasks:
* a news translation task,
* a biomedical translation ... | Provide a detailed description of the following dataset: WMT 2020 |
Multirotor-Gym | Multirotor gym environment for learning control policies for various unmanned aerial vehicles. | Provide a detailed description of the following dataset: Multirotor-Gym |
PANC | Enables research on early detection of sexual predators in chats (eSPD).
It is made from the sexual predator identification dataset from PAN12 and from the dataset ChatCoder2.
It provides both full-length predator chats from PervertedJustice as well as short segments of non-predator chats. Together these can be used ... | Provide a detailed description of the following dataset: PANC |
STPLS3D | Our project (STPLS3D) aims to provide a large-scale aerial photogrammetry dataset with synthetic and real annotated 3D point clouds for semantic and instance segmentation tasks.
Although various 3D datasets with different functions and scales have been proposed recently, it remains challenging for individuals to com... | Provide a detailed description of the following dataset: STPLS3D |
Nico-illust | This dataset contains over 400,000 images (illustrations) from Niconico Seiga and Niconico Shunga | Provide a detailed description of the following dataset: Nico-illust |
Restaurant-ACOS | The Restaurant-ACOS dataset is constructed based on the SemEval 2016 Restaurant dataset (Pontiki et al., 2016) and its expansion datasets (Fan et al., 2019; Xu et al., 2020).
The SemEval 2016 Restaurant dataset (Pontiki et al., 2016) was annotated with explicit and implicit aspects, categories, and sentiment. (Fan et ... | Provide a detailed description of the following dataset: Restaurant-ACOS |
Laptop-ACOS | Laptop-ACOS is a brand new Laptop dataset collected from the Amazon platform in the years 2017 and 2018 (covering ten types of laptops under six brands such as ASUS, Acer, Samsung, Lenovo, MBP, MSI, and so on). It contains 4,076 review sentences, much larger than the SemEval Laptop datasets.
For Laptop-ACOS, we annota... | Provide a detailed description of the following dataset: Laptop-ACOS |
Interference suppression techniques for OPM-based MEG: Opportunities and challenges | OPM data
1. Auditory evoked field paradigm during participant movement
2. Motor-beta power changes during a finger-tapping paradigm | Provide a detailed description of the following dataset: Interference suppression techniques for OPM-based MEG: Opportunities and challenges |
Molecule3D | Molecule3D is a new benchmark that includes a dataset with precise ground-state geometries of approximately 4 million molecules derived from density functional theory (DFT). It also provides a set of software tools for data processing, splitting, training, and evaluation, etc. | Provide a detailed description of the following dataset: Molecule3D |
aethel | A dataset of approximately 75,000 phrases and sentences, syntactically analyzed as typelogical derivations (i.e. proofs of modal intuitionistic linear logic, or programs of the corresponding λ calculus). Analyses were obtained by transforming the dependency graphs of the Lassy-Small corpus. | Provide a detailed description of the following dataset: aethel |
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