dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
SF-MASK | **SF-MASK** is a collection made from 20k low-resolution images exported from diverse and heterogeneous datasets, ranging from 7 x 7 to 64 x 64 pixel resolution. An accurate visualization of this collection, through counting grids, made it possible to highlight gaps in the variety of poses assumed by the heads of the p... | Provide a detailed description of the following dataset: SF-MASK |
OVAD benchmark | Vision-language modeling has enabled open-vocabulary tasks where predictions can be queried using any text prompt in a zero-shot manner. Existing open-vocabulary tasks focus on object classes, whereas research on object attributes is limited due to the lack of a reliable attribute-focused evaluation benchmark. This pap... | Provide a detailed description of the following dataset: OVAD benchmark |
LEPISZCZE | **LEPISZCZE** is an open-source comprehensive benchmark for Polish NLP and a continuous-submission leaderboard, concentrating public Polish datasets (existing and new) in specific tasks. | Provide a detailed description of the following dataset: LEPISZCZE |
Retina Benchmark | The **Retina Benchmark** is a set of real-world tasks that accurately reflect such complexities and are designed to assess the reliability of predictive models in safety-critical scenarios. Specifically, two publicly available datasets of high-resolution human retina images exhibiting varying degrees of diabetic retino... | Provide a detailed description of the following dataset: Retina Benchmark |
Secim2023 | **Secim2023** is a comprehensive dataset for social media researchers to study the upcoming election, develop tools to prevent online manipulation, and gather novel information to inform the public. | Provide a detailed description of the following dataset: Secim2023 |
ECTSum | **ECTSum** is a dataset with transcripts of earnings calls (ECTs), hosted by public companies, as documents, and short experts-written telegram-style bullet point summaries derived from corresponding Reuters articles. ECTs are long unstructured documents without any prescribed length limit or format. | Provide a detailed description of the following dataset: ECTSum |
PcMSP | **PcMSP** is a dataset annotated from 305 open access scientific articles for material science information extraction that simultaneously contains the synthesis sentences extracted from the experimental paragraphs, as well as the entity mentions and intra-sentence relations. | Provide a detailed description of the following dataset: PcMSP |
DiscoSense | **DiscoSense** is a benchmark sourced from datasets that contain two sentences connected through a discourse connective. Specifically, it is sourced from two peer reviewed academic datasets, DISCOVERY and DISCOFUSE for commonsense reasoning via understanding a wide variety of discourse connectives. | Provide a detailed description of the following dataset: DiscoSense |
Phee | **Phee** is a dataset for pharmacovigilance comprising over 5000 annotated events from medical case reports and biomedical literature. It is designed for biomedical event extraction tasks. | Provide a detailed description of the following dataset: Phee |
HuPR | **HuPR** is a human pose estimation benchmark is created using cross-calibrated mmWave radar sensors and a monocular RGB camera for cross-modality training of radar-based human pose estimation. This dataset contains 235 sequences of data in an indoor environment, with each sequence being one-minute long and totalling a... | Provide a detailed description of the following dataset: HuPR |
YouwikiHow | **YouwikiHow** is a dataset for Weakly-Supervised temporal Article Grounding (WSAG). It contains 47K videos and an average of 20.8 query sentences for each video. | Provide a detailed description of the following dataset: YouwikiHow |
Reddit Engagement Dataset | **Reddit Engagement Dataset (RED)**, a distant-supervision set, with 80k single-turn conversations. RED is sourced from Reddit, sampling from 43 popular subreddits, and processed from a total of 5 million posts, filtering out data that was either non-conversational, toxic, or posts not possible to ascertain popularity. | Provide a detailed description of the following dataset: Reddit Engagement Dataset |
MultiRefKGC | **MultiRefKGC** is a dataset created from conversations from Reddit designed for Knowledge-Grounded Dialogue Generation tasks. | Provide a detailed description of the following dataset: MultiRefKGC |
ORU Diverse radar dataset | * Evaluate radar localization in diverse environments
* Download: https://drive.google.com/drive/folders/1uATfrAe-KHlz29e-Ul8qUbUKwPxBFIhP Download | Provide a detailed description of the following dataset: ORU Diverse radar dataset |
MH-FED | This dataset provides a collection of 162K images and 70 Videos of Meta-Humans. There are 10 Highly realistic Meta-Humans expressing 7 facial expressions. | Provide a detailed description of the following dataset: MH-FED |
RF100 | The evaluation of object detection models is usually performed by optimizing a single metric, e.g. mAP, on a fixed set of datasets, e.g. Microsoft COCO and Pascal VOC. Due to image retrieval and annotation costs, these datasets consist largely of images found on the web and do not represent many real-life domains that ... | Provide a detailed description of the following dataset: RF100 |
GLAMI-1M | We introduce GLAMI-1M: the largest multilingual image-text classification dataset and benchmark. The dataset contains images of fashion products with item descriptions, each in 1 of 13 languages. Categorization into 191 classes has high-quality annotations: all 100k images in the test set and 75% of the 1M training set... | Provide a detailed description of the following dataset: GLAMI-1M |
FFHQ-UV | **FFHQ-UV** is a large-scale facial UV-texture dataset that contains over 50,000 high-quality texture UV-maps with even illuminations, neutral expressions, and cleaned facial regions, which are desired characteristics for rendering realistic 3D face models under different lighting conditions. The dataset is derived fro... | Provide a detailed description of the following dataset: FFHQ-UV |
MUSIED | **MUSIED** is a large-scale Chinese event detection dataset based on user reviews, text conversations, and phone conversations in a leading e-commerce platform for food service, designed for event detection tasks. | Provide a detailed description of the following dataset: MUSIED |
Wild-Time | **Wild-Time** is a benchmark of 5 datasets that reflect temporal distribution shifts arising in a variety of real-world applications, including patient prognosis and news classification. On these datasets, we systematically benchmark 13 prior approaches, including methods in domain generalization, continual learning, s... | Provide a detailed description of the following dataset: Wild-Time |
42Street | The **42Street** dataset is based on a theater play as an example of such an application. The dataset is created using a public recording of the 42Street theatre play [42street]. The play is 1.5 hours long and was split into 5 equally long parts of 20 minutes each, with various clothes changes between the different par... | Provide a detailed description of the following dataset: 42Street |
KSoF | Stuttering is a complex speech disorder that negatively affects an individual’s ability to communicate effectively. Persons who stutter (PWS) often suffer considerably under the condition and seek help through therapy. Fluency shaping is a therapy approach where PWSs learn to modify their speech to help them to overcom... | Provide a detailed description of the following dataset: KSoF |
BAF | **Bank Account Fraud (BAF)** is a large-scale, realistic suite of tabular datasets. The suite was generated by applying state-of-the-art tabular data generation techniques on an anonymized, real-world bank account opening fraud detection dataset. | Provide a detailed description of the following dataset: BAF |
JigsawPlan | **JigsawPlan** contains room layouts and floorplans for 98,780 single-story houses/apartments from a production pipeline, designed for the Extreme Structure from Motion (E-SfM) problem. | Provide a detailed description of the following dataset: JigsawPlan |
S-ODv2 | **SeaDronesSee-Object Detection v2 (S-ODv2)** dataset contains 14,227 RGB images (training: 8,930; validation: 1,547; testing: 3,750). The images are captured from various altitudes and viewing angles ranging from 5 to 260 meters and 0 to 90° degrees (gimbal pitch angle) while providing the respective meta information ... | Provide a detailed description of the following dataset: S-ODv2 |
SciRepEval | **SciRepEval** is a comprehensive benchmark for training and evaluating scientific document representations. It includes 25 challenging and realistic tasks, 11 of which are new, across four formats: classification, regression, ranking and search. | Provide a detailed description of the following dataset: SciRepEval |
SLING | **SLING** consists of 38K minimal sentence pairs in Mandarin Chinese grouped into 9 high-level linguistic phenomena. Each pair demonstrates the acceptability contrast of a specific syntactic or semantic phenomenon (e.g., The keys are lost vs. The keys is lost), and an LM should assign lower perplexity to the acceptable... | Provide a detailed description of the following dataset: SLING |
TCAB | Text Classification Attack Benchmark (TCAB) is a dataset for analyzing, understanding, detecting, and labeling adversarial attacks against text classifiers. TCAB includes 1.5 million attack instances, generated by twelve adversarial attack targeting three classifiers trained on six source datasets for sentiment analysi... | Provide a detailed description of the following dataset: TCAB |
KD-EmoR | KD-EmoR is socio-behavioral emotion dataset for emotion recognition in realistic conversation scenarios. It consists of total 12289 sentences from 1513 scenes of a Korean TV show named 'Three Brothers'. The dataset is split into Training and testing sets. Each sample consists of sentence_id, person(speaker), sentence... | Provide a detailed description of the following dataset: KD-EmoR |
ATLAS v2.0 | Accurate lesion segmentation is critical in stroke rehabilitation research for the quantification of lesion burden and accurate image processing. Current automated lesion segmentation methods for T1-weighted (T1w) MRIs, commonly used in rehabilitation research, lack accuracy and reliability. Manual segmentation remains... | Provide a detailed description of the following dataset: ATLAS v2.0 |
EXPY-TKY | EXPY-TKY contains the traffic speed information and the corresponding traffic incident information in 10-minute interval for 1843 expressway road links in Tokyo over three months (2021/10∼2021/12). Compared with other benchmarks for traffic prediction, EXPY-TKY covers a larger scale and more complex incident situations... | Provide a detailed description of the following dataset: EXPY-TKY |
CSI Images | The raw .mat data collected in two different scenarios are provided. | Provide a detailed description of the following dataset: CSI Images |
An extensive dataset of handwritten central Kurdish isolated characters | Data collection:
Finding a suitable source of data is considered a first step toward building a database. The first step in building a database is finding a suitable source. Here, the main goal is to collect images of Kurdish handwritten characters written by many writers. So, a form is designed to do so. The form is ... | Provide a detailed description of the following dataset: An extensive dataset of handwritten central Kurdish isolated characters |
Satlas | **Satlas** is a remote sensing dataset and benchmark that is large in both breadth, featuring all of the aforementioned applications and more, as well as scale, comprising 290M labels under 137 categories and 7 label modalities. | Provide a detailed description of the following dataset: Satlas |
HERDPhobia | **HERDPhobia** is an annotated hate speech detection dataset on Fulani herders in Nigeria -- in three languages: English, Nigerian-Pidgin, and Hausa. | Provide a detailed description of the following dataset: HERDPhobia |
HOMER | The **Household Object Movements from Everyday Routines (HOMER)** dataset is composed of routine behaviors for five households, spanning 50 days for the train split and 10 days for test split. The households are based on an identical apartment setting with four rooms and 108 objects and 33 atomic actions such as find, ... | Provide a detailed description of the following dataset: HOMER |
Gambling Address Dataset | **Gambling Address Dataset** is a collection of 10,423 gambling addresses that have transactions with gambling contracts. Moreover, 51,004 non-gambling addresses are also selected (such as exchanges, wallet addresses, etc.), making the gambling address dataset more complete. In the dataset, accounts are used to refer t... | Provide a detailed description of the following dataset: Gambling Address Dataset |
Gambling Contract Dataset | **Gambling Contract Dataset** is a collection of 260 gambling smart contracts from decentralized gambling websites, such as Dicether, Degens. At the same time, in order to construct the negative samples required for training, 1040 smart contracts that are not involved in gambling (e.g., erc20, erc721, mixer, etc.) are ... | Provide a detailed description of the following dataset: Gambling Contract Dataset |
DRTiD | **DRTiD** is a benchmark dataset for DR grading, consisting of 3,100 two-field fundus images. | Provide a detailed description of the following dataset: DRTiD |
BeGin | **BeGin** provides 23 benchmark scenarios for graph from 14 real-world datasets, which cover 12 combinations of the incremental settings and the levels of problem. In addition, BeGin provides various basic evaluation metrics for measuring the performances and final evalution metrics designed for continual learning. | Provide a detailed description of the following dataset: BeGin |
MIAD | **MIAD** contains more than 100K high-resolution color images in various outdoor industrial scenarios, designed for unsupervised anomaly detection. This dataset is generated by a 3D graphics software and covers both surface and logical anomalies with pixel-precise ground truth. | Provide a detailed description of the following dataset: MIAD |
DeepParliament | **DeepParliament** is a legal domain Benchmark Dataset that gathers bill documents and metadata and performs various bill status classification tasks. The dataset text covers a broad range of bills from 1986 to the present and contains richer information on parliament bill content. There are a total of 5329 documents ... | Provide a detailed description of the following dataset: DeepParliament |
NEREL-BIO | **NEREL-BIO** is an annotation scheme and corpus of PubMed abstracts in Russian and English. It contains annotations for 700+ Russian and 100+ English abstracts. All English PubMed annotations have corresponding Russian counterparts. NEREL-BIO comprises the following specific features: annotation of nested named entiti... | Provide a detailed description of the following dataset: NEREL-BIO |
PLABA | **Plain Language Adaptation of Biomedical Abstracts (PLABA)** is a dataset designed for automatic adaptation that is both document- and sentence-aligned. The dataset contains 750 adapted abstracts, totaling 7643 sentence pairs. | Provide a detailed description of the following dataset: PLABA |
MSU BASED | Qualitative dataset with real blurred videos, created by using beam-splitter setup in lab environment | Provide a detailed description of the following dataset: MSU BASED |
Physionet MI | This data set consists of over 1500 one- and two-minute EEG recordings, obtained from 109 volunteers [2].
Subjects performed different motor/imagery tasks while 64-channel EEG were recorded using the BCI2000 system (http://www.bci2000.org) [1]. Each subject performed 14 experimental runs: two one-minute baseline run... | Provide a detailed description of the following dataset: Physionet MI |
MCSCSet | **MCSCSet** is a large-scale specialist-annotated dataset, designed for the task of Medical-domain Chinese Spelling Correction that contains about 200k samples. MCSCSet involves: i) extensive real-world medical queries collected from Tencent Yidian, ii) corresponding misspelled sentences manually annotated by medical s... | Provide a detailed description of the following dataset: MCSCSet |
CEFR-SP | **CEFR-SP** contains 17k English sentences annotated with the levels based on the Common European Framework of Reference for Languages assigned by English-education professionals. | Provide a detailed description of the following dataset: CEFR-SP |
KurdishInterdialect | a parallel corpus of Sorani (ckb or Central Kurdish) and Kurmanji (kmr or Northern Kurdish) dialects of Kurdish along with English (eng). The parallel corpus contains three manually-aligned corpus in Sorani-Kurmanji, Sorani-English and Kurmanji-English in various formats, namely Translation Memory eXchange file format ... | Provide a detailed description of the following dataset: KurdishInterdialect |
ZazaGoraniCorpus | A corpus for two endangered languages of the Zaza-Gorani language family: Zazaki and Gorani. | Provide a detailed description of the following dataset: ZazaGoraniCorpus |
A Bi-atrial Statistical Shape Model and 100 Volumetric Anatomical Models of the Atria | This dataset is part of the publication "A bi-atrial statistical shape model for large-scale in silico studies of human atria: Model development and application to ECG simulations" by Nagel et al. (https://doi.org/10.1016/j.media.2021.102210). It includes a bi-atrial statistical shape model built based on 47 MR and CT ... | Provide a detailed description of the following dataset: A Bi-atrial Statistical Shape Model and 100 Volumetric Anatomical Models of the Atria |
MedalCare-XL | Mechanistic cardiac electrophysiology models allow for personalized simulations of the electrical activity in the heart and the ensuing electrocardiogram (ECG) on the body surface. As such, synthetic signals possess precisely known ground truth labels of the underlying disease (model parameterization) and can be employ... | Provide a detailed description of the following dataset: MedalCare-XL |
Medical Abstracts | The Medical Abstracts dataset contains 14,438 medical abstracts describing 5 different classes of patient conditions, with all of the dataset being annotated. The dataset is split into training and test sets. | Provide a detailed description of the following dataset: Medical Abstracts |
MIDV-500 | 500 video clips for 50 different identity document types with ground truth.
A lot of research has been devoted to identity documents analysis and recognition on mobile devices. However, no publicly available datasets designed for this particular problem currently exist. There are a few datasets which are useful for ... | Provide a detailed description of the following dataset: MIDV-500 |
HiAML | HiAML Computational Graph (CG) family introduced in "GENNAPE: Towards Generalized Neural Architecture Performance Estimators", accepted to AAAI-23. Contains 4.6k CIFAR-10 networks with an accuracy range of [91.11%, 93.44%]. | Provide a detailed description of the following dataset: HiAML |
Inception | Inception Computational Graph (CG) family introduced in "GENNAPE: Towards Generalized Neural Architecture Performance Estimators", accepted to AAAI-23. Contains 580 CIFAR-10 networks with an accuracy range of [89.08%, 94.03%]. | Provide a detailed description of the following dataset: Inception |
Two-Path | Two-Path Computational Graph (CG) family introduced in "GENNAPE: Towards Generalized Neural Architecture Performance Estimators", accepted to AAAI-23. Contains 6.9k CIFAR-10 networks with an accuracy range of [85.53%, 92.34%]. | Provide a detailed description of the following dataset: Two-Path |
weather4cast 2022 | Weather4Cast 2022 satellite images for weather prediction. | Provide a detailed description of the following dataset: weather4cast 2022 |
CREPE | **CREPE** is QA dataset containing a natural distribution of presupposition failures from online information-seeking forums. It consists of 8400 Reddit questions with (1) whether there is any false presuppositions annotated, and (2) if any, the presupposition and its correction written. | Provide a detailed description of the following dataset: CREPE |
Fisheye | **Fisheye** dataset comprises of synthetically generated fisheye sequences and fisheye video sequences captured with an actual fisheye camera designed for fisheye motion estimation. | Provide a detailed description of the following dataset: Fisheye |
Geoclidean-Elements | **Geoclidean-Elements** dataset is derived from definitions in the first book of Euclid’s Elements, which focuses on plane geometry. Geoclidean-Elements includes 17 target concepts and 34 tasks. | Provide a detailed description of the following dataset: Geoclidean-Elements |
Geoclidean-Constraints | **Geoclidean-Constraints** dataset consists of 20 concepts and 40 tasks, created from permutations of line and circle construction rules with various constraints describing the relationship between objects. This dataset focuses on explicit constraints between geometric objects. We denote the objects as the following—li... | Provide a detailed description of the following dataset: Geoclidean-Constraints |
HOD | **HOD** is a dataset for 3D object reconstruction which contains 35 objects, divided into two subsets named Sculptures and Daily Objects. The Sculptures has five human sculptures with complex geometries and pure white textures. The Daily Objects consists of 30 daily objects with various shapes and appearances. All of t... | Provide a detailed description of the following dataset: HOD |
TyDiP | **A Dataset for Politeness Classification in Nine Typologically Diverse Languages (TyDiP)** is a dataset containing three-way politeness annotations for 500 examples in each language, totaling 4.5K examples. | Provide a detailed description of the following dataset: TyDiP |
DPM | Don’t Patronize Me! (DPM) is an annotated dataset with Patronizing and Condescending Language towards vulnerable communities. | Provide a detailed description of the following dataset: DPM |
FAUST-partial | FAUST-partial is a 3D registration benchmark dataset created to address the lack of data variability in the existing 3D registration benchmarks such as: 3DMatch, ETH, KITTI.
The original FAUST training dataset is comprised of 100 3D scans of human bodies.
The benchmark generation for a single scan from the FAUST ... | Provide a detailed description of the following dataset: FAUST-partial |
Apron Dataset | The Apron Dataset focuses on training and evaluating classification and detection models for airport-apron logistics. In addition to bounding boxes and object categories the dataset is enriched with meta parameters to quantify the models’ robustness against environmental influences. | Provide a detailed description of the following dataset: Apron Dataset |
jaCappella | **jaCappella** is a corpus of Japanese a cappella vocal ensembles (jaCappella corpus) for vocal ensemble separation and synthesis. It consists of 35 copyright-cleared vocal ensemble songs and their audio recordings of individual voice parts. These songs were arranged from out-of-copyright Japanese children's songs and ... | Provide a detailed description of the following dataset: jaCappella |
KiloGram | **KiloGram** is a resource for studying abstract visual reasoning in humans and machines. It contains a richly annotated dataset with >1k distinct stimuli. | Provide a detailed description of the following dataset: KiloGram |
ClueWeb22 | **ClueWeb22** is the newest iteration of the ClueWeb line of datasets, provides 10 billion web pages affiliated with rich information. Its design was influenced by the need for a high quality, large scale web corpus to support a range of academic and industry research, for example, in information systems, retrieval-aug... | Provide a detailed description of the following dataset: ClueWeb22 |
NVD | **Naturalistic Variation Object Dataset (NVD)** is a large simulated dataset of 272k images of everyday objects with naturalistic variations such as object pose, scale, viewpoint, lighting and occlusions. | Provide a detailed description of the following dataset: NVD |
H3WB | **Human3.6M 3D WholeBody (H3WB)** is a large scale dataset with 133 whole-body keypoint annotations on 100K images, made possible by a new multi-view pipeline. It is designed for the three new tasks : i) 3D whole-body pose lifting from 2D complete whole-body pose, ii) 3D whole-body pose lifting from 2D incomplete whole... | Provide a detailed description of the following dataset: H3WB |
G-VUE | **General-purpose Visual Understanding Evaluation (G-VUE)** is a comprehensive benchmark covering the full spectrum of visual cognitive abilities with four functional domains -- Perceive, Ground, Reason, and Act. The four domains are embodied in 11 carefully curated tasks, from 3D reconstruction to visual reasoning and... | Provide a detailed description of the following dataset: G-VUE |
RSSCN7 | he RSSCN7 dataset contains satellite images acquired from Google Earth, which is originally collected for remote sensing scene classification. We conduct image synthesis on RSSCN7 to make it capable of the image inpainting task. It has seven classes: grassland, farmland, industrial and commercial regions, river and lak... | Provide a detailed description of the following dataset: RSSCN7 |
OIR | OIR is a financial-domain dataset of the outbound intent recognition task. It aims to identify the intent of customer response in the outbound call scenario. | Provide a detailed description of the following dataset: OIR |
MTC | MTC is a financial-domain dataset of the multi-label topic classification task. It aims to identify the topics of the spoken dialogue. | Provide a detailed description of the following dataset: MTC |
PSM | PSM is a financial-domain dataset of the pairwise search matching task. It aims to identify the semantic similarity of a sentence pair in the search scenario. | Provide a detailed description of the following dataset: PSM |
IEE | IEE is a financial-domain dataset of the Insurance-entity extraction task. Its goal is to locate named entities mentioned in the input sentence. | Provide a detailed description of the following dataset: IEE |
UMD-i Affrodance Dataset | One-Shot Affordance Part Segmentation variant of the UMD dataset. Each object instance in the dataset contains a single image. | Provide a detailed description of the following dataset: UMD-i Affrodance Dataset |
XBT Snapshot | The World Ocean Database (WOD) is world's largest collection of uniformly formatted, quality controlled, publicly available ocean profile data. This dataset is a snapshot of the XBT observations which have been preprocessed for use in a machine learning pipeline.
The data is organised by year in CSV files, covering ... | Provide a detailed description of the following dataset: XBT Snapshot |
PIZZA | PIZZA is a dataset for parsing pizza and drink orders, whose semantics cannot be captured by flat slots and intents. | Provide a detailed description of the following dataset: PIZZA |
ExHVV | **ExHVV** is a novel dataset that offers natural language explanations of connotative roles for three types of entities -- heroes, villains, and victims, encompassing 4,680 entities present in 3K memes. | Provide a detailed description of the following dataset: ExHVV |
MatSim | **MatSim** is a synthetic dataset, and natural image benchmark for computer vision-based recognition of similarities and transitions between materials and textures, focusing on identifying any material under any conditions using one or a few examples (one-shot learning), including materials states and subclasses. | Provide a detailed description of the following dataset: MatSim |
EBHI-Seg | **EBHI-Seg** is a dataset containing 5,170 images of six types of tumor differentiation stages and the corresponding ground truth images. The dataset can provide researchers with new segmentation algorithms for medical diagnosis of colorectal cancer. | Provide a detailed description of the following dataset: EBHI-Seg |
Perseus | **Perseus** is a dataset for Cross-Lingual Summarization (CLS) which collects about 94K Chinese scientific documents paired with English summaries. The average length of documents in Perseus is more than two thousand tokens. | Provide a detailed description of the following dataset: Perseus |
Super-CLEVR | **Super-CLEVR** is a dataset for Visual Question Answering (VQA) where different factors in VQA domain shifts can be isolated in order that their effects can be studied independently. It contains 21 vehicle models belonging to 5 categories, with controllable attributes. Four factors are considered: visual complexity, q... | Provide a detailed description of the following dataset: Super-CLEVR |
ArzEn | **Corpus of Egyptian Arabic-English Code-switching (ArzEn)** is a spontaneous conversational speech corpus, obtained through informal interviews held at the German University in Cairo. The participants discussed broad topics, including education, hobbies, work, and life experiences. The corpus currently contains 12 hou... | Provide a detailed description of the following dataset: ArzEn |
LEVEN | ## Overview
LEVEN is the **largest Legal Event Detection** dataset as well as the **largest Chinese Event Detection** dataset.
### Large Scale
LEVEN contains 8,116 legal documents, 63,616 sentences, and 150,977 event mentions.
### High Coverage
LEVEN contains 108 event types in total, including 64 charge-orien... | Provide a detailed description of the following dataset: LEVEN |
PhD Exchange Network-Rawdata-5848 | This dataset is part of the journal paper "Discipline Reputation Evaluation Based on PhD Exchange Network", Author: Shudong YANG @dalian University of Technology. | Provide a detailed description of the following dataset: PhD Exchange Network-Rawdata-5848 |
SolarDK | **SolarDK** is a dataset for the detection and localization of solar. It comprises images from GeoDanmark with a variable Ground Sample Distance (GSD) between 10 cm and 15 cm, all sampled between March 1st and May 1st during 2021, containing 23,417 hand labelled images for classification and 880 segmentation masks, in ... | Provide a detailed description of the following dataset: SolarDK |
DialogUSR | **DialogUSR** dataset covers 23 domains with a multi-step crowd-sourcing procedure. It comprises 36.7 Chinese characters by assembling 3.6 single-intent queries (including initial and follow-up queries) and is designed for dialogue utterance splitting and reformulation task. | Provide a detailed description of the following dataset: DialogUSR |
BottleCap | The BottleCap dataset contains over 1100 color images and 7 types of real
defects. All the images are collected from the real production line
and verified by professionals. | Provide a detailed description of the following dataset: BottleCap |
Allergen30 | Allergen30 is created with the goal of building a robust detection model that can assist people in avoiding possible allergic reactions.
It contains more than 6,000 images of 30 commonly used food items that can cause an adverse reaction within the human body. This dataset is one of the first research attempts in tr... | Provide a detailed description of the following dataset: Allergen30 |
CLEVR-MRT | **CLEVR Mental Rotation Tests (CLEVR-MRT)** is a new version of the CLEVR dataset. It contains 20 images generated for each scene holding a constant altitude and sampling over azimuthal angle. It is a controlled setting whereby questions are posed about the properties of a scene if that scene was observed from another ... | Provide a detailed description of the following dataset: CLEVR-MRT |
Crypto related tweets from 10.10.2020 to 3.3.2021 | The dataset contains 30 million cryptocurrency-related tweets from 10.10.2020 to 3.3.2021. See https://github.com/meakbiyik/ask-who-not-what for more details. | Provide a detailed description of the following dataset: Crypto related tweets from 10.10.2020 to 3.3.2021 |
RoomEnv-v1 | # The Room environment - v1
For the documentation of [RoomEnv-v0](./documents/README-v0.md), click the corresponding buttons.
This document, RoomEnv-v1, is the most up-to-date one.
We have released a challenging [OpenAI Gym](https://www.gymlibrary.dev/) compatible
environment. The best strategy for this envir... | Provide a detailed description of the following dataset: RoomEnv-v1 |
VOT2020 | VOT2020 is a Visual Object Tracking benchmark for short-term tracking in RGB. | Provide a detailed description of the following dataset: VOT2020 |
Computer Vision Arxiv Figures | **Computer Vision Figures** dataset consists of 88645 images that more closely resemble the structure of our visual prompts. The dataset was collected from Arxiv, the open-access web archive for scholarly articles from a variety of academic fields. | Provide a detailed description of the following dataset: Computer Vision Arxiv Figures |
LIB-HSI | The LIB-HSI dataset contains hyperspectral reflectance images and their corresponding RGB images of building façades in a light industrial environment. The dataset also contains pixel-level annotated images for each hyperspectral/RGB image. The LIB-HSI dataset was created to develop deep learning methods for segmenting... | Provide a detailed description of the following dataset: LIB-HSI |
DocCVQA | DocCVQA is a Document Visual Question Answering dataset, where the questions are posed over a whole collection of 14,362 scanned documents. Therefore, the task can be seen as a retrieval-style evidence seeking task where given a question, the aim is to identify and retrieve all the documents in a large document collect... | Provide a detailed description of the following dataset: DocCVQA |
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