dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
AesVQA | AesVQA is a dataset that contains 72168 high-quality images and 324756 pairs of aesthetic questions. This dataset addresses the task of aesthetic VQA and introduces subjectiveness into VQA tasks. | Provide a detailed description of the following dataset: AesVQA |
NSVA | NVSA is a large-scale NBA dataset for Sports Video Analysis (NSVA) with a focus on sports video captioning. This dataset consists of more than 32K video clips and it is also designed to address two additional tasks, namely fine-grained sports action recognition and salient player identification. | Provide a detailed description of the following dataset: NSVA |
ChiQA | ChiQA is a dataset designed for visual question answering tasks that not only measures the relatedness but also measures the answerability, which demands more fine-grained vision and language reasoning. It contains more than 40K questions and more than 200K question-images pairs. The questions are real-world image-inde... | Provide a detailed description of the following dataset: ChiQA |
VQA-VS | The current OOD benchmark VQA-CP v2 only considers one type of shortcut (from question type to answer) and thus still cannot guarantee that the modelrelies on the intended solution rather than a solution specific to this shortcut. To overcome this limitation, VQA-VS proposes a new dataset that considers varying types... | Provide a detailed description of the following dataset: VQA-VS |
EmoWOZ | EmoWOZ is the first large-scale open-source dataset for emotion recognition in task-oriented dialogues. It contains emotion annotations for user utterances in the entire MultiWOZ (10k+ human-human dialogues) and DialMAGE (1k human-machine dialogues collected from our human trial). Overall, there are 83k user utterances... | Provide a detailed description of the following dataset: EmoWOZ |
PAL4Inpaint | **PAL4Inpaint** is a dataset consisting of 4,795 inpainting results with per-pixel perceptual artifacts annotations designed for image inpainting tasks. | Provide a detailed description of the following dataset: PAL4Inpaint |
MUAD | The MUAD dataset (Multiple Uncertainties for Autonomous Driving), consisting of 10,413 realistic synthetic images with diverse adverse weather conditions (night, fog, rain, snow), out-of-distribution objects, and annotations for semantic segmentation, depth estimation, object, and instance detection. Predictive uncerta... | Provide a detailed description of the following dataset: MUAD |
FormulaNet | # FormulaNet
FormulaNet is a new large-scale Mathematical Formula Detection dataset. It consists of 46'672 pages of STEM documents from [arXiv](arxiv.org) and has
13 types of labels. The dataset is split into a [train](Dataset/train) set of 44'338 pages and a [validation](Dataset/val) set of 2'334 pages. Due to
... | Provide a detailed description of the following dataset: FormulaNet |
iDesigner | Fashion trends are constantly evolving, but a trained eye can estimate with some accuracy the signature elements of a particular designer's style.
50,000 runway images, spanning 50 fashion designers, from our large repository of proprietary front row images from fashion shows over the past 15 years. The data include... | Provide a detailed description of the following dataset: iDesigner |
Kannada Treebank | This dataset was build as a part of development of Treebanks for Indian Languages funded by MeitY, Govt. of India.
The Kannada treebank consists of 13.1 K sentences from general, tourism, conversational domains. | Provide a detailed description of the following dataset: Kannada Treebank |
UnrealEgo | **UnrealEgo** is a dataset that provides in-the-wild stereo images with a large variety of motions for 3D human pose estimation. The in-the-wild stereo images are stereo fisheye images and depth maps with a resolution of 1024×1024 pixels each with 25 frames per second and a total of 450k (900k images) are captured for... | Provide a detailed description of the following dataset: UnrealEgo |
OmniCity | **OmniCity** is a dataset for omnipotent city understanding from multi-level and multi-view images. It contains multi-view satellite images as well as street-level panorama and mono-view images, constituting over 100K pixel-wise annotated images that are well-aligned and collected from 25K geo-locations in New York Cit... | Provide a detailed description of the following dataset: OmniCity |
MAFW | **MAFW** is a large-scale, multi-modal, compound affective database for dynamic facial expression recognition in the wild. It contains 10,045 video-audio clips, annotated with a compound emotional category and a couple of sentences that describe the subjects' affective behaviors in the clip. For the compound emotion an... | Provide a detailed description of the following dataset: MAFW |
BGG dataset | We recorded gun sounds by changing the type and
position of guns to diversify distances and angles in the
PUBG environment. The BGG dataset
consists of 2,195 samples with 37 different types of guns
and five directions, including a silence in which there is
no gunfire, but noises exist. The distance from the firear... | Provide a detailed description of the following dataset: BGG dataset |
MIMIC-SPARQL | Question Answering (QA) is a widely-used framework for developing and evaluating an intelligent
machine. In this light, QA on Electronic Health Records (EHR), namely EHR QA, can work as
a crucial milestone toward developing an intelligent agent in healthcare. EHR data are typically
stored in a relational database, w... | Provide a detailed description of the following dataset: MIMIC-SPARQL |
VideoAttentionTarget | A dataset with fully annotated attention targets in video for attention target estimation. | Provide a detailed description of the following dataset: VideoAttentionTarget |
Citations to invalid DOI-identified entities obtained from processing DOI-to-DOI citations to add in COCI | This dataset contains a two-column CSV file, where the first column ("Valid_citing_DOI") contains the DOI of a citing entity retrieved in Crossref, while the second column ("Invalid_cited_DOI") contains the invalid DOI of a cited entity identified by looking at the field "reference" in the JSON document returned by que... | Provide a detailed description of the following dataset: Citations to invalid DOI-identified entities obtained from processing DOI-to-DOI citations to add in COCI |
time-agnostic-library: benchmarks on execution times and memory | This deposit contains benchmark code, data and results to assess the Python software time-agnostic-library v4.3.0.
Two benchmarks were designed, one on the execution times and the other on the RAM. The goal is to assess whether time-agnostic-library is efficient and operable despite working live and without pre‑inde... | Provide a detailed description of the following dataset: time-agnostic-library: benchmarks on execution times and memory |
Wiki5K Hebrew segmentation | Training data for Hebrew morphological word segmentation | Provide a detailed description of the following dataset: Wiki5K Hebrew segmentation |
SPMRL Hebrew segmentation data | Training data for Hebrew morphological word segmentation | Provide a detailed description of the following dataset: SPMRL Hebrew segmentation data |
Table Tennis Ball Trajectories with Spin | This data set contains real-world table tennis ball trajectories recorded with our custom developed table tennis ball launcher AIMY. The data has been filtered. Faulty samples and ball trajectories have been removed from the data set. The trajectories are stored in the widely supported file format HDF5 (Hierarchical Da... | Provide a detailed description of the following dataset: Table Tennis Ball Trajectories with Spin |
HM3D-Semantics | **Habitat-Matterport 3D Semantics Dataset (HM3D-Semantics v0.1)** is the largest-ever dataset of semantically-annotated 3D indoor spaces. It contains dense semantic annotations for 120 high-resolution 3D scenes from the Habitat-Matterport 3D dataset. The HM3D scenes are annotated with the 1700+ raw object names, which ... | Provide a detailed description of the following dataset: HM3D-Semantics |
GOD-Wiki, DIR-Wiki, ThingsEEG-Text. | brain-image-text trimodal datasets | Provide a detailed description of the following dataset: GOD-Wiki, DIR-Wiki, ThingsEEG-Text. |
FLEURS | We introduce FLEURS, the Few-shot Learning Evaluation of Universal Representations of Speech benchmark. FLEURS is an n-way parallel speech dataset in 102 languages built on top of the machine translation FLoRes-101 benchmark, with approximately 12 hours of speech supervision per language. FLEURS can be used for a varie... | Provide a detailed description of the following dataset: FLEURS |
eAppleScab | The study showed that the apple scab can be detected in the high-resolution RGB images in an early stage of its development. If two datasets, the early and advanced stages, are grouped together, the scab in the early stage is not visible after image resizing for CNN inputs 200-500px.
The dataset contains classified... | Provide a detailed description of the following dataset: eAppleScab |
Domains Project | **Domains Project** is a public dataset contains freely available sorted list of Internet domains. | Provide a detailed description of the following dataset: Domains Project |
LAION-5B | **LAION 5B** is a large-scale dataset for research purposes consisting of 5,85B CLIP-filtered image-text pairs. 2,3B contain English language, 2,2B samples from 100+ other languages and 1B samples have texts that do not allow a certain language assignment (e.g. names ). Additionally, we provide several nearest neighbor... | Provide a detailed description of the following dataset: LAION-5B |
FSC-P2 | The Fearless Steps Initiative by UTDallas-CRSS led to the digitization, recovery, and diarization of 19,000 hours of original analog audio data, as well as the development of algorithms to extract meaningful information from this multichannel naturalistic data resource. As an initial step to motivate a stream-lined and... | Provide a detailed description of the following dataset: FSC-P2 |
safety-gym | openai.com/blog/safety-gym/ | Provide a detailed description of the following dataset: safety-gym |
LAV-DF | Localized Audio Visual DeepFake Dataset (LAV-DF).
Paper: Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization | Provide a detailed description of the following dataset: LAV-DF |
EgoHOS | **EgoHOS** is a labeled dataset consisting of 11243 egocentric images with per-pixel segmentation labels of hands and objects being interacted with during a diverse array of daily activities. The data are collected form multiple sources: 7,458 frames from Ego4D, 2,212 frames from EPIC-KITCHEN, 806 frames from THU-READ,... | Provide a detailed description of the following dataset: EgoHOS |
CC-Riddle | **CC-Riddle** is a Chinese character riddle dataset covering the majority of common simplified Chinese characters by crawling riddles from the Web and generating brand new ones. In the generation stage, the authors provide the Chinese phonetic alphabet, decomposition and explanation of the solution character for the ge... | Provide a detailed description of the following dataset: CC-Riddle |
KETOD | **KETOD** (Knowledge-Enriched Task-Oriented Dialogue) is a dataset containing system responses designed for enriching task-oriented dialogues with chit-chat based on relevant entity knowledge. There are a total of 5,324 dialogues with enriched system responses. | Provide a detailed description of the following dataset: KETOD |
VizWiz-FewShot | **VizWiz-FewShot** is a a few-shot localization dataset originating from photographers who authentically were trying to learn about the visual content in the images they took. It includes nearly 10,000 segmentations of 100 categories in over 4,500 images that were taken by people with visual impairments. | Provide a detailed description of the following dataset: VizWiz-FewShot |
XLCoST | **XLCoST** is a benchmark dataset for cross-lingual code intelligence. The dataset contains fine-grained parallel data from 8 languages (7 commonly used programming languages and English), and supports 10 cross-language code tasks. | Provide a detailed description of the following dataset: XLCoST |
HR-GLDD: A globally distributed high resolution landslide dataset | Sample data in the numpy array format (.npy) at the link https://zenodo.org/record/7189381#.Y0a2UHZBxD9.
Satellite: Planetscope 3 meter
Patch size: 128 x 128 x 4
Train: 1119 patches
Test: 355 patches
Validation:284 patches | Provide a detailed description of the following dataset: HR-GLDD: A globally distributed high resolution landslide dataset |
NAFLD pathology and healthy tissue samples | The dataset contains tiles extracted from Whole Slide Images (WSI) of stained tissue samples.
* Normal tissue from mouse and rat species; liver, brain, lung, heart, pancreas, spleen, kidney organs; Masson's Trichrome and H&I staining. This data was NOT manually curated and may contain various artifacts
* Tissue ... | Provide a detailed description of the following dataset: NAFLD pathology and healthy tissue samples |
LAION COCO | **LAION-COCO** is the world’s largest dataset of 600M generated high-quality captions for publicly available web-images. The images are extracted from the english subset of Laion-5B with an ensemble of BLIP L/14 and 2 CLIP versions (L/14 and RN50x64). This dataset allow models to produce high quality captions for image... | Provide a detailed description of the following dataset: LAION COCO |
ConvFinQA | **ConvFinQA** is a dataset designed to study the chain of numerical reasoning in conversational question answering. The dataset contains 3892 conversations containing 14115 questions where 2715 of the conversations are simple conversations, and the rest 1,177 are hybrid conversations. | Provide a detailed description of the following dataset: ConvFinQA |
VISOR - Semi supervised video object segmentation | VISOR is a dataset of pixel annotations and a benchmark suite for segmenting hands and active objects in egocentric video. VISOR annotates videos from EPIC-KITCHENS, and it contains 272K manual semantic masks of 257 object classes, 9.9M interpolated dense masks, and 67K hand-object relations, covering 36 hours of 179 u... | Provide a detailed description of the following dataset: VISOR - Semi supervised video object segmentation |
Trailers12k | Trailers12k is a movie trailer dataset comprised of 12,000 titles associated to ten genres. It distinguishes from other datasets by its collection procedure aimed at providing a high-quality publicly available dataset. | Provide a detailed description of the following dataset: Trailers12k |
UCSF PDGM | MRI-based artificial intelligence (AI) research on patients with brain gliomas has been rapidly increasing in popularity in recent years in part due to a growing number of publicly available MRI datasets. Notable examples include The Cancer Genome Atlas Glioblastoma dataset (TCGA-GBM) consisting of 262 subjects and the... | Provide a detailed description of the following dataset: UCSF PDGM |
Handwash Dataset | **Hand Wash Dataset** consists of 292 videos of hand washes with each hand wash having 12 steps, for a total of 3,504 clips, in different environments to provide as much variance as possible. The variance was important to ensure that the model is robust and can work in more than a few environments. This dataset is desi... | Provide a detailed description of the following dataset: Handwash Dataset |
Multi-domain Image Characteristics Dataset | The Multi-domain Image Characteristic Dataset consists of thousands of images sourced from the internet. Each image falls under one of three domains - animals, birds, or furniture. There are five types under each domain. There are 200 images of each type, summing up the total dataset to 3,000 images. The master file co... | Provide a detailed description of the following dataset: Multi-domain Image Characteristics Dataset |
CORRONA CERTAIN | CERTAIN, or the Comparative Effectiveness Registry to Study Therapies for Arthritis and Inflammatory Conditions, is designed as a prospective nested substudy under our larger RA registry.
CERTAIN uses the existing CORRONA network of participating private and academic sites in order to recruit RA patients who have at... | Provide a detailed description of the following dataset: CORRONA CERTAIN |
ACL Anthology Corpus with Full Text | [](https://creativecommons.org/licenses/by-nc-sa/4.0/)
This repository provides full-text and metadata to the ACL anthology collection (80k articles/posters as of September 2022) also including .pdf files and grobid extractions of the pd... | Provide a detailed description of the following dataset: ACL Anthology Corpus with Full Text |
DBP-5L (Greek) | DPB-5L is a Multilingual KG dataset containing 5 KGs in English, French, Japanese, Greek, and Spanish.
The dataset is used for the Knowledge Graph Completion and Entity Alignment task.
DPB-5L (Greek) is a subset of DPB-5L with Greek KG. | Provide a detailed description of the following dataset: DBP-5L (Greek) |
DBP-5L (English) | DPB-5L is a Multilingual KG dataset containing 5 KGs in English, French, Japanese, Greek, and Spanish.
The dataset is used for the Knowledge Graph Completion and Entity Alignment task.
DPB-5L (English) is a subset of DPB-5L with English KG. | Provide a detailed description of the following dataset: DBP-5L (English) |
DBP-5L (Spanish) | DPB-5L is a Multilingual KG dataset containing 5 KGs in English, French, Japanese, Greek, and Spanish.
The dataset is used for the Knowledge Graph Completion and Entity Alignment task.
DPB-5L (Spanish) is a subset of DPB-5L with Spanish KG. | Provide a detailed description of the following dataset: DBP-5L (Spanish) |
DBP-5L (Japanese) | DPB-5L is a Multilingual KG dataset containing 5 KGs in English, French, Japanese, Greek, and Spanish.
The dataset is used for the Knowledge Graph Completion and Entity Alignment task.
DPB-5L (Japanese) is a subset of DPB-5L with Japanese KG. | Provide a detailed description of the following dataset: DBP-5L (Japanese) |
DPB-5L (French) | DPB-5L is a Multilingual KG dataset containing 5 KGs in English, French, Japanese, Greek, and Spanish.
The dataset is used for the Knowledge Graph Completion and Entity Alignment task.
DPB-5L (French) is a subset of DPB-5L with French KG. | Provide a detailed description of the following dataset: DPB-5L (French) |
KPI-EDGAR | We introduce KPI-EDGAR, a novel dataset for Joint Named Entity Recognition and Relation Extraction building on financial reports uploaded to the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system, where the main objective is to extract Key Performance Indicators (KPIs) from financial documents (the named... | Provide a detailed description of the following dataset: KPI-EDGAR |
EgoTaskQA | **EgoTask QA** benchmark contains 40K balanced question-answer pairs selected from 368K programmatically generated questions generated over 2K egocentric videos. It provides a single home for the crucial dimensions of task understanding through question-answering on real-world egocentric videos. | Provide a detailed description of the following dataset: EgoTaskQA |
FRMT | **FRMT** is a dataset and evaluation benchmark for Few-shot Region-aware Machine Translation, a type of style-targeted translation. The dataset consists of human translations of a few thousand English Wikipedia sentences into regional variants of Portuguese and Mandarin. Source documents are selected to enable detailed... | Provide a detailed description of the following dataset: FRMT |
ABO | **ABO** is a large-scale dataset designed for material prediction and multi-view retrieval experiments. The dataset contains Blender renderings of 30 viewpoints for each of the 7,953 3D objects, as well as camera intrinsics and extrinsic for each rendering. | Provide a detailed description of the following dataset: ABO |
MTEB | **MTEB** is a benchmark which spans 8 embedding tasks covering a total of 56 datasets and 112 languages. The 8 task types are Bitext mining, Classification, Clustering, Pair Classification, Reranking, Retrieval, Semantic Textual Similarity and Summarisation. The 56 dataset contains varying text lengths and they are gro... | Provide a detailed description of the following dataset: MTEB |
Replication Data for: On estimating Armington elasticities for Japan's meat imports | **Replication Data for: On estimating Armington elasticities for Japan's meat imports** contains monthly import values and quantities from Jan 1996 to Dec 2020 for all 78 items. | Provide a detailed description of the following dataset: Replication Data for: On estimating Armington elasticities for Japan's meat imports |
Spaces | We introduce our new dataset, Spaces, to provide a more challenging shared dataset for future view synthesis research.
Spaces consists of 100 indoor and outdoor scenes, captured using a 16-camera rig.
For each scene, we captured image sets at 5-10 slightly different rig positions (within ∼10cm of each other).
This... | Provide a detailed description of the following dataset: Spaces |
virufy-data | Dataset to segmentize coughs | Provide a detailed description of the following dataset: virufy-data |
PersonPath22 | PersonPath22 is a large-scale multi-person tracking dataset containing 236 videos captured mostly from static-mounted cameras, collected from sources where we were given the rights to redistribute the content and participants have given explicit consent. Each video has ground-truth annotations including both bounding b... | Provide a detailed description of the following dataset: PersonPath22 |
Riddle Sense | Question: I have five fingers but I am not alive. What am I? Answer: a glove.
Answering such a riddle-style question is a challenging cognitive process, in that it requires complex commonsense reasoning abilities, an understanding of figurative language, and counterfactual reasoning skills, which are all important a... | Provide a detailed description of the following dataset: Riddle Sense |
Diamante | Diamante is a novel and efficient framework consisting of a data collection strategy and a learning method to boost the performance of pre-trained dialogue models. Two kinds of human feedback are collected and leveraged in Diamante, including explicit demonstration and implicit preference. The Diamante dataset is publi... | Provide a detailed description of the following dataset: Diamante |
GD | These images were generated using UnityEyes simulator, after including essential eyeball physiology elements and modeling binocular vision dynamics. The images are annotated with head pose and gaze direction information, besides 2D and 3D landmarks of eye's most important features. Additionally, the images are distribu... | Provide a detailed description of the following dataset: GD |
eLife | This dataset contains 4,828 full biomedical articles paired with non-technical lay summaries derived from the eLife scientific journal. | Provide a detailed description of the following dataset: eLife |
PLOS | This dataset contains 27,525 full biomedical articles paired with non-technical lay summaries derived from various journals published by the Public Library of Science (PLOS). | Provide a detailed description of the following dataset: PLOS |
Europarl-ASR | Europarl-ASR (EN) is a 1300-hour English-language speech and text corpus of parliamentary debates for (streaming) Automatic Speech Recognition training and benchmarking, speech data filtering and speech data verbatimization, based on European Parliament speeches and their official transcripts (1996-2020). Includes dev-... | Provide a detailed description of the following dataset: Europarl-ASR |
Mint | **Mint** is a new Multilingual intimacy analysis dataset covering 13,384 tweets in 10 languages including English, French, Spanish, Italian, Portuguese, Korean, Dutch, Chinese, Hindi, and Arabic. The dataset is released along with the SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis. | Provide a detailed description of the following dataset: Mint |
DA$^2$ | **DA2** is a large-scale Dual-Arm Dexterity-Aware (DA2) grasp dataset, including a total of about 9M parallel-jaw grasp pairs for more than 6000 different meshes. The grasp pairs are labeled with multiple grasp dexterity measures by fully analyzing the grasp matrix. The dataset constitutes a standardized data source fi... | Provide a detailed description of the following dataset: DA$^2$ |
DIMO | The **Industrial Metal Objects** dataset is a diverse dataset of industrial metal objects. These objects are symmetric, textureless and highly reflective, leading to challenging conditions not captured in existing datasets. The dataset contains both real-world and synthetic multi-view RGB images with 6D object pose lab... | Provide a detailed description of the following dataset: DIMO |
HPD | These images were generated using Blender and IEE-Simulator with different head-poses, where the images are labelled according to nine classes (straight, turned bottom-left, turned left, turned top-left, turned bottom-right, turned right, turned top-right, reclined, looking up). The dataset contains 16,013 training ima... | Provide a detailed description of the following dataset: HPD |
H-DIBCO 2016 | H-DIBCO 2016 is the international Handwritten Document Image Binarization Contest organized in the context of ICFHR 2016 conference | Provide a detailed description of the following dataset: H-DIBCO 2016 |
DIBCO 2011 | DIBCO 2011 is the International Document Image Binarization Contest organized in the context of ICDAR 2011 conference. The general objective of the contest is to identify current advances in document image binarization for both machine-printed and handwritten document images using evaluation performance measures that c... | Provide a detailed description of the following dataset: DIBCO 2011 |
DIBCO 2017 | DIBCO 2017 is the international Competition on Document Image Binarization organized in conjunction with the ICDAR 2017 conference. The general objective of the contest is to identify current advances in document image binarization of machine-printed and handwritten document images using performance evaluation measures... | Provide a detailed description of the following dataset: DIBCO 2017 |
CB-ToF-Extension | An extension of the Cornell-Box Time-of-Flight Dataset (https://paperswithcode.com/dataset/cb-tof) containing moving objects. It follows the same data structure. | Provide a detailed description of the following dataset: CB-ToF-Extension |
DIBCO 2013 | DIBCO 2013 is the international Document Image Binarization Contest organized in the context of ICDAR 2013 conference. The general objective of the contest is to identify current advances in document image binarization for both machine-printed and handwritten document images using evaluation performance measures that c... | Provide a detailed description of the following dataset: DIBCO 2013 |
H-DIBCO 2014 | H-DIBCO 2014 is the International Document Image Binarization Competition which is dedicated to handwritten document images organized in conjunction with ICFHR 2014 conference. The objective of the contest is to identify current advances in handwritten document image binarization using meaningful evaluation performance... | Provide a detailed description of the following dataset: H-DIBCO 2014 |
LRDE DBD | This is a dataset is composed of full-document images, groundtruth, and tools to perform an evaluation of binarization algorithms. It allows pixel-based accuracy and OCR-based evaluations. | Provide a detailed description of the following dataset: LRDE DBD |
H-DIBCO 2018 | H-DIBCO 2018 is the international Handwritten Document Image Binarization Contest organized in the context of ICFHR 2018 conference. The general objective of the contest is to record recent advances in document image binarization using established evaluation performance measures. | Provide a detailed description of the following dataset: H-DIBCO 2018 |
H-DIBCO 2012 | H-DIBCO 2012 is the International Document Image Binarization Competition which is dedicated to handwritten document images organized in conjunction with ICFHR 2012 conference. The objective of the contest is to identify current advances in handwritten document image binarization using meaningful evaluation performance... | Provide a detailed description of the following dataset: H-DIBCO 2012 |
Acoustic frequency responses in a conventional classroom | Hahmann, Manuel; Verburg Riezu, Samuel Arturo (2021): Acoustic frequency responses in a conventional classroom. Technical University of Denmark. Dataset. https://doi.org/10.11583/DTU.13315286 | Provide a detailed description of the following dataset: Acoustic frequency responses in a conventional classroom |
Occluded COCO | **Occluded COCO** is automatically generated subset of COCO val dataset, collecting partially occluded objects for a large variety of categories in real images in a scalable manner, where target object is partially occluded but the segmentation mask is connected. | Provide a detailed description of the following dataset: Occluded COCO |
Separated COCO | **Separated COCO** is automatically generated subsets of COCO val dataset, collecting separated objects for a large variety of categories in real images in a scalable manner, where target object segmentation mask is separated into distinct regions by the occluder. | Provide a detailed description of the following dataset: Separated COCO |
Wind Tunnel and Flight Test Experiments | Our dataset comprises $23.468$ non-labelled and $356$ labelled samples where each sample is $512 \times 512 \times 1$ dimensional IR image collected with the thermographic measurement specifications.
Some samples contain scars, shadows, salt \& pepper noises and contrast burst regions, demonstrating that realistic la... | Provide a detailed description of the following dataset: Wind Tunnel and Flight Test Experiments |
TREC-News | The TREC News Track features modern search tasks in the news domain. In partnership with The Washington Post, we are developing test collections that support the search needs of news readers and news writers in the current news environment. It's our hope that the track will foster research that establishes a new sense ... | Provide a detailed description of the following dataset: TREC-News |
Robust04 | The goal of the Robust track is to improve the consistency of retrieval technology by focusing on poorly performing topics. In addition, the track brings back a classic, ad hoc retrieval task in TREC that provides a natural home for new participants. An ad hoc task in TREC investigates the performance of systems that s... | Provide a detailed description of the following dataset: Robust04 |
Webis-Touché-2020 | This paper is a condensed report on the second year of the Touché shared task on argument retrieval held at CLEF 2021. With the goal to provide a collaborative platform for researchers, we organized two tasks: (1) supporting individuals in finding arguments on controversial topics of social importance and (2) supportin... | Provide a detailed description of the following dataset: Webis-Touché-2020 |
TAT | **Taiwanese Across Taiwan (TAT)** corpus is a Large-Scale database of Native Taiwanese Article/Reading Speech collected across Taiwan. This corpus contains native Taiwanese speech of various accent across Taiwan. The corpus is annotated twice for use in voice recognition research. The corpus contains recording from 100... | Provide a detailed description of the following dataset: TAT |
SpeechMatrix | **SpeechMatrix** is a large-scale multilingual corpus of speech-to-speech translations mined from real speech of European Parliament recordings. It contains speech alignments in 136 language pairs with a total of 418 thousand hours of speech. | Provide a detailed description of the following dataset: SpeechMatrix |
DIS5K | To build the highly accurate Dichotomous Image Segmentation dataset (DIS5K), we first manually collected over 12,000 images from Flickr1 based on our pre-designed keywords. Then, we obtained 5,470 images of 22 groups and 225 categories from the 12,000 images according to the structural complexities of the objects. Each... | Provide a detailed description of the following dataset: DIS5K |
HOWS | HOWS-CL-25 (Household Objects Within Simulation dataset for Continual Learning) is a synthetic dataset especially designed for object classification on mobile robots operating in a changing environment (like a household), where it is important to learn new, never seen objects on the fly.
This dataset can also be used ... | Provide a detailed description of the following dataset: HOWS |
detection_of_IoT_botnet_attacks_N_BaIoT Data Set | This dataset addresses the lack of public botnet datasets, especially for the IoT. It suggests *real* traffic data, gathered from 9 commercial IoT devices authentically infected by Mirai and BASHLITE. | Provide a detailed description of the following dataset: detection_of_IoT_botnet_attacks_N_BaIoT Data Set |
Lipogram-e | This is a dataset of 3 English books which do not contain the letter "e" in them. This dataset includes all of "Gadsby" by Ernest Vincent Wright, all of "A Void" by Georges Perec, and almost all of "Eunoia" by Christian Bok (except for the single chapter that uses the letter "e" in it)
This dataset is contributed as... | Provide a detailed description of the following dataset: Lipogram-e |
Instructional-DT (Instr-DT) | This discourse treebank includes annotated instructional texts originally assembled at the Information Technology Research Institute, University of Brighton. This dataset contains 176 documents with an average of 32.6 EDUs for a total of 5744 EDUs and 53,250 words. | Provide a detailed description of the following dataset: Instructional-DT (Instr-DT) |
Lowest Common Ancestor Generations (LCAG) Phasespace Particle Decay Reconstruction Dataset | This dataset contains simulated synthetic particle decays, simulated using the [PhaseSpace](https://github.com/zfit/phasespace) library.
All simulated decay topologies have a common root particle of mass 100 (arbitrary units). Intermediate particles are selected at random with replacement from the following masses: [9... | Provide a detailed description of the following dataset: Lowest Common Ancestor Generations (LCAG) Phasespace Particle Decay Reconstruction Dataset |
Europarl | A corpus of parallel text in 21 European languages from the proceedings of the European Parliament.
The Europarl parallel corpus is extracted from the proceedings of the European Parliament (1996-2011). It includes versions in 21 European languages: Romanic (French, Italian, Spanish, Portuguese, Romanian), Germanic ... | Provide a detailed description of the following dataset: Europarl |
WDC SOTAB | WDC SOTAB is a benchmark that features two annotation tasks: Column Type Annotation and Columns Property Annotation. The goal of the Column Type Annotation (CTA) task is to annotate the columns of a table with 91 Schema.org types, such as telephone, duration, Place, or Organization. The goal of the Columns Property Ann... | Provide a detailed description of the following dataset: WDC SOTAB |
ECQA | This repository contains the publicly released dataset, code, and models for the Explanations for CommonsenseQA paper presented at ACL-IJCNLP 2021. Directories ```data``` and ```code``` inside the root folder contain dataset and code, respectively. The same [data](https://github.com/dair-iitd/ECQA-Dataset) and [code](... | Provide a detailed description of the following dataset: ECQA |
TED Gesture Dataset | Co-speech gestures are everywhere. People make gestures
when they chat with others, give a public speech, talk on a
phone, and even think aloud. Despite this ubiquity, there are
not many datasets available. The main reason is that it is
expensive to recruit actors/actresses and track precise body
motions. There ar... | Provide a detailed description of the following dataset: TED Gesture Dataset |
DBE-KT22 | **DBE-KT22** contains student exercise answering activities collected through an online practicing platform for the database systems course taught at the Australian National University within the period 2018-2021. The dataset is useful for research targeting students' knowledge tracing given historical sequences of exe... | Provide a detailed description of the following dataset: DBE-KT22 |
HYPERVIEW | The dataset comprises 2886 patches in total (2 m GSD), of which 1732 patches for training and 1154 patches for testing. The patch size varies (depending on agricultural parcels) and is on average around 60x60 pixels. Each patch contains 150 contiguous hyperspectral bands (462-942 nm, with a spectral resolution of 3.2 n... | Provide a detailed description of the following dataset: HYPERVIEW |
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