dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
Real 3D-AD | Real 3D-AD is the first point cloud anomaly detection dataset for industrial products.
Real3D-AD comprises a total of 1,254 samples that are distributed across 12 distinct categories. These categories include Airplane, Car, Candybar, Chicken, Diamond, Duck, Fish, Gemstone, Seahorse, Shell, Starfish, and Toffees.
Each... | Provide a detailed description of the following dataset: Real 3D-AD |
NEMO | We present a dataset for the analysis of human affective states using functional near-infrared spectroscopy (fNIRS). Data were recorded from thirty-one participants who engaged in two tasks. In the emotional perception task the participants passively viewed images sampled from the standard international affective pictu... | Provide a detailed description of the following dataset: NEMO |
MatrixCity | We build a large-scale, comprehensive, and high-quality synthetic dataset for city-scale neural rendering researches. Leveraging the Unreal Engine 5 City Sample project, we developed a pipeline to easily collect aerial and street city views with ground-truth camera poses, as well as a series of additional data modaliti... | Provide a detailed description of the following dataset: MatrixCity |
CHAMMI | We present a cellular microscopic image dataset for investigating channel-adaptive models. We collected and pre-processed images from three publicly available sources: 1) the WTC-11 hiPSC dataset from the Allen Institute (Viana et al., 2023), 2) the Human Protein Atlas dataset (Thul et al., 2017), and 3) a combined Cel... | Provide a detailed description of the following dataset: CHAMMI |
ChiMed-VL | # ChiMed-VL Dataset
## ChiMed-VL-Alignment dataset ##
ChiMed-VL-Alignment consists of 580,014 image-text couplings, each pair falling into one of two categories: context information of an image or descriptions of an image. The context category contains 167M tokens, presenting a median text length of 435 (Q1: 211,... | Provide a detailed description of the following dataset: ChiMed-VL |
X-CLAIM | A multilingual dataset for the task of multilingual claim span identification.
X-CLAIM consists of 7K real-world claims, and social media posts containing them, collected from various social media platforms (e.g., Instagram) in English, Hindi, Punjabi, Tamil, Telugu and Bengali. | Provide a detailed description of the following dataset: X-CLAIM |
Nutrition5k | Nutrition5k is a dataset of visual and nutritional data for ~5k realistic plates of food captured from Google cafeterias using a custom scanning rig. We are releasing this dataset alongside our recent CVPR 2021 paper to help promote research in visual nutrition understanding. Please see the paper for more details on th... | Provide a detailed description of the following dataset: Nutrition5k |
Condensed Movies | A large-scale video dataset, featuring clips from movies with detailed captions. | Provide a detailed description of the following dataset: Condensed Movies |
Product Reviews 2017 | The corpus contains review sentences mostly of products in electronics domain, annotated and segregated into 4 comparison categories. Each comparison sentence is annotated with names of the products (PROD1 and PROD2), the aspect (ASP) and the predicate (PRED). Dataset contains sentences after auto-labeling on [SNAP dat... | Provide a detailed description of the following dataset: Product Reviews 2017 |
RVL-CDIP_MP | RVL-CDIP_MP is our first contribution to retrieve the original documents of the IIT-CDIP test collection which were used to create RVL-CDIP. Some PDFs or encoded images were corrupt, which explains that we have around 500 fewer instances. By leveraging metadata from OCR-IDL , we matched the original identifiers from II... | Provide a detailed description of the following dataset: RVL-CDIP_MP |
RVL-CDIP_N_MP | RVL-CDIP_MP-N can serve its original goal as a covariate shift test set, now for multi-page document classification. We were able to retrieve the original full documents from DocumentCloud and Web Search.
It has the same label taxonomy as RVL-CDIP (16) with close to 1K documents in PDF format, averaging 10 pages p... | Provide a detailed description of the following dataset: RVL-CDIP_N_MP |
CiNAT-Birds-2021 | CiNAT Birds 2021 (Cross-View iNaturalist-2021 Birds) dataset contains ground-level images of bird species along with satellite images associated with the geolocation of the ground-level images. In total, there are 413,959 pairs for training and 14,831 pairs for validation and testing. The ground-level images are of var... | Provide a detailed description of the following dataset: CiNAT-Birds-2021 |
Option Smile Volatility and Implied Probabilities Analysis | This study’s sample consists of seven corporations (Black Rock, Google, Meta, JP Morgan, Walgreens, Netflix, and Pepsico) analyzed across seven quarters beginning in 2021. The data includes the implied volatility level (annualized) for the day before, the day of, and the day following the earnings report. This informat... | Provide a detailed description of the following dataset: Option Smile Volatility and Implied Probabilities Analysis |
LNDST | The Landsat collection contains 400x400 RGB pictures captured by the Landsat 8 satellite. Each image might show areas of water and other areas that are just the background. Your task is to design a classifier that identifies each pixel as either 0 (background) or 1 (water), using integer values. For training, you'll re... | Provide a detailed description of the following dataset: LNDST |
This is not a Dataset | We introduce a large semi-automatically generated dataset of ~400,000 descriptive sentences about commonsense knowledge that can be true or false in which negation is present in about 2/3 of the corpus in different forms that we use to evaluate LLMs. | Provide a detailed description of the following dataset: This is not a Dataset |
TTE-A&O | The dataset includes two parts corresponding to the cities of Abakan (65524 nodes, 340012 edges) and Omsk (231688 nodes, 1149492 edges). Along with the road network graph, it includes trip records represented as sequences of visited nodes (making the dataset suitable both for path-blind and path-aware settings). There ... | Provide a detailed description of the following dataset: TTE-A&O |
WHYSHIFT | In our benchmark WHYSHIFT, we explore distribution shifts on 5 real-world tabular datasets from the economic and traffic sectors with natural spatiotemporal distribution shifts.We only pick 7 typical settings out of 22 settings and select only one representative target domain for each setting. In our benchmark, we spec... | Provide a detailed description of the following dataset: WHYSHIFT |
ManiCups | Multi-domain Image Editing Benchmark | Provide a detailed description of the following dataset: ManiCups |
LOLv2 | The real captured dataset of LOL contains 500 low/normallight image pairs. Most low-light images are collected by changing exposure time and ISO, while other configurations of the cameras are fixed. We capture images from a variety of scenes, e.g., houses, campuses, clubs, streets.
Since camera shaking, object movem... | Provide a detailed description of the following dataset: LOLv2 |
LOLv2-synthetic | To make synthetic images match the property of real dark photography, we analyze the illumination distribution of low-light images. We collect 270 low-light images from public MEF [42], NPE [6], LIME [8], DICM [43], VV,2 and Fusion [44] dataset, transform the imagesT into YCbCr channel and calculate the histogram of Y ... | Provide a detailed description of the following dataset: LOLv2-synthetic |
COESOT | In this work, we propose a general dataset for Color-Event camera based Single Object Tracking, termed COESOT. It contains 1354 color-event videos with 478,721 RGB frames. We split them into a training and testing subset, which contains 827 and 527 videos, respectively. The videos are collected from both outdoor and in... | Provide a detailed description of the following dataset: COESOT |
IRIDIA-AF | # A large paroxysmal atrial fibrillation long-term electrocardiogram monitoring database
## Abstract
Atrial fibrillation (AF) is the most common sustained heart arrhythmia in adults. Holter monitoring, a long-term 2-lead electrocardiogram (ECG), is a key tool available to cardiologists for AF diagnosis. Machine lea... | Provide a detailed description of the following dataset: IRIDIA-AF |
EleThermal | This is the Infrared Elephant Images Dataset (named 'EleThermal dataset') collected from [here](https://github.com/arribada/human-wildlife-conflict#datasets--technology-development-of-arribadas-human-wildlife-conflict-solutions) and annotated by our project, released under [GPLv3](https://www.gnu.org/licenses/gpl-3.0.e... | Provide a detailed description of the following dataset: EleThermal |
Supplementary Material | The file contains an annotated list of papers that are included in the literature survey. | Provide a detailed description of the following dataset: Supplementary Material |
Automatic Thermal Modeling | Dataset for reproducing the code of the work: Estimation of Semiconductor Power Losses Through Automatic Thermal Modeling.
Abstract:
Achieving the optimal design of power converters hinges on a deep understanding of the system's dissipation elements to meet desired performance and safety standards. Calorimetric t... | Provide a detailed description of the following dataset: Automatic Thermal Modeling |
FUNSD-r | We introduce FUNSD-r and CORD-r in [Token Path Prediction](https://arxiv.org/abs/2310.11016), the revised VrD-NER datasets to reflect the real-world scenarios of NER on scanned VrDs.
In FUNSD and CORD, segment layout annotations are aligned with labeled entities, which makes them not reflect the reading order issue... | Provide a detailed description of the following dataset: FUNSD-r |
CORD-r | We introduce FUNSD-r and CORD-r in [Token Path Prediction](https://arxiv.org/abs/2310.11016), the revised VrD-NER datasets to reflect the real-world scenarios of NER on scanned VrDs.
In FUNSD and CORD, segment layout annotations are aligned with labeled entities, which makes them not reflect the reading order issue ... | Provide a detailed description of the following dataset: CORD-r |
DiaMOS Plant | Abstract
The classification and recognition of foliar diseases is an increasingly developing field of research, where the concepts of machine and deep learning are used to support agricultural stakeholders. Datasets are the fuel for the development of these technologies. In this paper, we release and make publicly ava... | Provide a detailed description of the following dataset: DiaMOS Plant |
NLP Taxonomy Classification Test Data | The dataset contains the titles and abstracts of all EMNLP 22 papers, which were manually labeled according to the NLP taxonomy. This dataset can be used for multi-label classification. | Provide a detailed description of the following dataset: NLP Taxonomy Classification Test Data |
3D-Point Cloud dataset of various geometrical terrains | Depth vision has been recently used in many locomotion devices with the objective to ease the life of disabled people toward reaching more ecological lifestyle. This is due to the fact that such cameras are cheap, compact and can provide rich information about the environment. Our dataset provides many recordings of po... | Provide a detailed description of the following dataset: 3D-Point Cloud dataset of various geometrical terrains |
BioFuelQR | BioFuelQR is a dataset consisting of complex reasoning questions related to catalyst discovery in biofuels. This dataset is aimed at benchmarking scientific question answering methods, particularly for search based text generation. | Provide a detailed description of the following dataset: BioFuelQR |
TAPE | A dataset of videos synthetically degraded with Adobe After Effects to exhibit artifacts resembling those of real-world analog videotapes. The original high-quality videos belong to the Venice scene of the Harmonic dataset. The artifacts taken into account are: 1) tape mistracking; 2) VHS edge waving; 3) chroma loss al... | Provide a detailed description of the following dataset: TAPE |
ETTh1 (96) | The **Electricity Transformer Temperature** (**ETT**) is a crucial indicator in the electric power long-term deployment. This dataset consists of 2 years data from two separated counties in China. To explore the granularity on the Long sequence time-series forecasting (LSTF) problem, different subsets are created, {ETT... | Provide a detailed description of the following dataset: ETTh1 (96) |
ETTh1 (192) | The **Electricity Transformer Temperature** (**ETT**) is a crucial indicator in the electric power long-term deployment. This dataset consists of 2 years data from two separated counties in China. To explore the granularity on the Long sequence time-series forecasting (LSTF) problem, different subsets are created, {ETT... | Provide a detailed description of the following dataset: ETTh1 (192) |
PragmaticCode | PragmaticCode is a dataset of real-world open-source Java projects complete with their development environments and dependencies (through their respective build systems). The authors tried to ensure that all the repositories in PragmaticCode were released publicly only after the determined training dataset cutoff date ... | Provide a detailed description of the following dataset: PragmaticCode |
DotPrompts | DotPrompts is a set of testcases derived from PragmaticCode, such that each testcase consists of a prompt to a dereference location (a code location having the "." operator in Java). It is primarily meant as a benchmark for Code LMs. | Provide a detailed description of the following dataset: DotPrompts |
SourceData-NLP | Introduction: The scientific publishing landscape is expanding rapidly, creating challenges for researchers to stay up-to-date with the evolution of the literature. Natural Language Processing (NLP) has emerged as a potent approach to automating knowledge extraction from this vast amount of publications and preprints. ... | Provide a detailed description of the following dataset: SourceData-NLP |
HC3 Plus | In order to fill the gap of HC3 under semanticinvariant tasks, we extend HC3 and propose a larger ChatGPT-generated text dataset covering translation, summarization, and paraphrasing tasks, called HC3 Plus. | Provide a detailed description of the following dataset: HC3 Plus |
Quasimodo-GenT | A mapping of [Quasimodo](https://paperswithcode.com/dataset/quasimodo) to the relations of [ConceptNet](https://paperswithcode.com/paper/conceptnet-55-an-open-multilingual-graph-of). | Provide a detailed description of the following dataset: Quasimodo-GenT |
Ascent-GenT | A mapping of [Ascent](https://paperswithcode.com/dataset/ascentkb) to the relations of [ConceptNet](https://paperswithcode.com/paper/conceptnet-55-an-open-multilingual-graph-of). | Provide a detailed description of the following dataset: Ascent-GenT |
The EMBO SourceData-NLP dataset | We present the SourceData-NLP dataset produced through the routine curation of papers during the publication process. A unique feature of this dataset is its emphasis on the annotation of bioentities in figure legends. We annotate eight classes of biomedical entities (small molecules, gene products, subcellular compone... | Provide a detailed description of the following dataset: The EMBO SourceData-NLP dataset |
MT-Bench | This dataset contains 3.3K expert-level pairwise human preferences for model responses generated by 6 models in response to 80 MT-bench questions. The 6 models are GPT-4, GPT-3.5, Claud-v1, Vicuna-13B, Alpaca-13B, and LLaMA-13B. The annotators are mostly graduate students with expertise in the topic areas of each of th... | Provide a detailed description of the following dataset: MT-Bench |
Game of 24 | Game of 24 is a mathematical reasoning challenge, where the goal is to use 4 numbers and basic arithmetic operations (+-*/) to obtain 24. For example, given input “4 9 10 13”, a solution output could be “(10 - 4) * (13 - 9) = 24”. We scrape data from 4nums.com, which has 1,362 games that are sorted from easy to hard by... | Provide a detailed description of the following dataset: Game of 24 |
Creative Writing | A creative writing task where the input is 4 random sentences and the output should be a coherent passage with 4 paragraphs that end in the 4 input sentences respectively. Such a task is open-ended and exploratory, and challenges creative thinking as well as high-level planning. | Provide a detailed description of the following dataset: Creative Writing |
Mini Crosswords | We scrape data from GooBix, which contains 156 games of 5 × 5 mini crosswords. The goal is not just to solve the task, as more general crosswords can be readily solved with specialized NLP pipelines that leverage large-scale retrieval instead of LM. Rather, we aim to explore the limit of LM as a general problem solver ... | Provide a detailed description of the following dataset: Mini Crosswords |
reader_engagement | Reader eye tracking and engagement scores for two short stories, aggregated by sentence. | Provide a detailed description of the following dataset: reader_engagement |
Race Against the Machine | A fully-annotated, open-design dataset of autonomous and piloted high-speed flight | Provide a detailed description of the following dataset: Race Against the Machine |
InsPLAD | InsPLAD is a Dataset for Power Line Asset Inspection containing 10,607 high-resolution Unmanned Aerial Vehicles colour images. It contains 17 unique power line assets captured from real-world operating power lines. Some of those assets (five, to be precise) are also annotated regarding their conditions. They present th... | Provide a detailed description of the following dataset: InsPLAD |
RNA-Puzzles | RNA-Puzzles is a collective experiment for blind RNA structure prediction.
The sequence of a solved RNA structure is confidentially communicated to participating modelling groups a couple of weeks prior to publication. The results are assessed and presented in common publications involving structuralists and modellers... | Provide a detailed description of the following dataset: RNA-Puzzles |
WANDS | The dataset contains:
* 42,994 candidate products with data comprising product class, title, description, attributes, category hierarchy, average rating, and number of reviews
* 480 search query strings with predicted product class
* 233,448 (query string, product) human relevance judgments with labels (exact matc... | Provide a detailed description of the following dataset: WANDS |
ASDiv | We present ASDiv (Academia Sinica Diverse MWP Dataset), a diverse (in terms of both language patterns and problem types) English math word problem (MWP) corpus for evaluating the capability of various MWP solvers. Existing MWP corpora for studying AI progress remain limited either in language usage patterns or in probl... | Provide a detailed description of the following dataset: ASDiv |
WinoMT-Hindi | Test set of sentences in Hindi with complex coreference involving two entities inspired by WinoBias format of sentences in English. Includes grammatical gender cues of Hindi to test gender bias in Hindi-English NMT Systems. | Provide a detailed description of the following dataset: WinoMT-Hindi |
OTSC-Hindi | Test set of sentences in Hindi with simple gender-specific context used to measure gender bias in NMT systems for Hindi-English. | Provide a detailed description of the following dataset: OTSC-Hindi |
BanMANI | A Dataset to Identify Manipulated Social Media News in Bangla
We construct a publicly available Bangla dataset of 800 news-related social media items that are annotated as manipulated or not relative to 500 reference news articles. We present a semi-automatic (use both human and LLM) method for generating such a dat... | Provide a detailed description of the following dataset: BanMANI |
Polyp ASH | This dataset was built with data acquired at the Hospital Clinic of Barcelona, Spain. It is composed of a total of 1126 HD polyp images. There are a total of 473 unique polyps, with a variable number of different shots per polyp (minimum: 2, maximum: 24, median: 10). Special attention was paid to ensure that images fro... | Provide a detailed description of the following dataset: Polyp ASH |
FoodSG-233 | The **FoodSG-233** dataset contains 209,861 images, covering 13 food groups and 233 food categories.
Specifically, food groups are more coarse-grained whereas food categories are more fine-grained, e.g., the group “Sugars, sweets and confectionery” contains categories such as “Parfait” and “Popcorn”. We guarantee t... | Provide a detailed description of the following dataset: FoodSG-233 |
SSC | The SSC dataset is a spiking version of the Speech Commands dataset release by Google [(Speech Commands)](https://paperswithcode.com/dataset/speech-commands). SSC was generated using Lauscher, an artificial cochlea model. The SSC dataset consists of utterances recorded from a larger number of speakers under controlled... | Provide a detailed description of the following dataset: SSC |
VRMocap: VR Mocap Dataset for Pose Reconstruction | Data used for the paper SparsePoser: Real-time Full-body Motion Reconstruction from Sparse Data
It contains over 1GB of high-quality motion capture data recorded with an Xsens Awinda system while using a variety of VR applications in Meta Quest devices. | Provide a detailed description of the following dataset: VRMocap: VR Mocap Dataset for Pose Reconstruction |
BACH | Breast cancer is the most common invasive cancer in women, affecting more than 10% of women worldwide. Microscopic analysis of a biopsy remains one of the most important methods to diagnose the type of breast cancer. This requires specialized analysis by pathologists, in a task that i) is highly time- and cost-consumin... | Provide a detailed description of the following dataset: BACH |
WebRTC QoE Estimation Without Using Application Layer Headers | This dataset contains network traces collected in-lab and in a real-world setting. We also collected ground truth Quality of Experience (QoE) logs from the browser. Researchers can use this dataset to solve a wide range of problems that involve understanding video conferencing quality from a network perspective. | Provide a detailed description of the following dataset: WebRTC QoE Estimation Without Using Application Layer Headers |
LegalBench | The LegalBench project is an ongoing open science effort to collaboratively curate tasks for evaluating legal reasoning in English large language models (LLMs). The benchmark currently consists of 162 tasks gathered from 40 contributors.
If you have questions about the project or would like to get involved, please s... | Provide a detailed description of the following dataset: LegalBench |
Glot500-c | A dataset of natural language data collected by putting together more than 150 existing mono-lingual and multilingual datasets together and crawling known multilingual websites. The focus of this dataset is on 500 extremely low-resource languages.
Github: https://github.com/cisnlp/Glot500 | Provide a detailed description of the following dataset: Glot500-c |
TII-SSRC-23 | The TII-SSRC-23 dataset offers a comprehensive collection of network traffic patterns, meticulously compiled to support the development and research of Intrusion Detection Systems (IDS). It presents a dual structure: one part provides a tabular representation of extracted features in CSV format, while the other offers ... | Provide a detailed description of the following dataset: TII-SSRC-23 |
LMCQA | This dataset contains a set of multiple-choice questions related to various legal topics. The dataset contains 20 questions covering various aspects of legal knowledge, such as the workings of the European Commission, types of legal documents, procedures in the court system, legal definitions, and European Union+United... | Provide a detailed description of the following dataset: LMCQA |
voraus-AD | voraus-AD contains machine data of a collaborative robot, which moves a can by performing an industrial pick-and-place task. The samples consist of time series of machine data, each recorded over one pick-and-place operation. As usual in anomaly detection, the training set contains only normal data, which includes regu... | Provide a detailed description of the following dataset: voraus-AD |
Unsynchronized Dynamic Blender Dataset | Unsynchronized dynamic blender dataset for multi-view dynamic NeRFs for evaluating MAE between the predicted time offsets and the ground truth. It contains three unsyncrhonized scenes; box, deer, and fox. | Provide a detailed description of the following dataset: Unsynchronized Dynamic Blender Dataset |
Plenoptic Video Dataset | 3D video data asset of CVPR 2022 Paper "Neural 3D Video Synthesis" | Provide a detailed description of the following dataset: Plenoptic Video Dataset |
Randman | Versatile synthetic classification dataset based on precise input spike timings drawn from smooth random manifolds as previously described | Provide a detailed description of the following dataset: Randman |
PTR_NETS | These are the files containing the Convex Hull and Traveling Salesman Problem dataset present in the “Pointer Networks” paper:
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly. "Pointer networks." NIPS 2015
@inproceedings{vinyals2015pointer,
title={Pointer networks},
author={Vinyals, Oriol and Fortunato, ... | Provide a detailed description of the following dataset: PTR_NETS |
Faces Through Time | Faces Through Time (FTT) features 26,247 images of notable people from the 19th to 21st centuries, with roughly 1,900 images per decade on average. It is sourced from Wikimedia Commons, a crowdsourced and open-licensed collection of 50M images. | Provide a detailed description of the following dataset: Faces Through Time |
Turkish Punctuation Restoration | we have prepared a dataset using publicly available TED Talks transcripts [27] and selected the Turkish corpus. The resulting Turkish punctuation restoration dataset currently consists of 146K sentences and 1.8M tokens. The ratio of the train, validation, and test splits are 0.8, 0.1, and 0.1, respectively. Data files ... | Provide a detailed description of the following dataset: Turkish Punctuation Restoration |
TimeQA | This dataset is aimed to study the existing reading comprehension models' capability to perform temporal reasoning, and see whether they are sensitive to the temporal description in the given question. | Provide a detailed description of the following dataset: TimeQA |
Tamil Alpaca | Dataset Card for "tamil-alpaca"
This repository includes a Tamil-translated version of the [Alpaca dataset](https://huggingface.co/datasets/yahma/alpaca-cleaned).
This dataset is part of the release of Tamil LLaMA family of models – an important step in advancing LLMs for the Tamil language. To dive deep into th... | Provide a detailed description of the following dataset: Tamil Alpaca |
Tamil Alpaca Orca | # Dataset Card for "tamil-alpaca"
This repository includes a Tamil-translated versions of the [Alpaca dataset](https://huggingface.co/datasets/yahma/alpaca-cleaned) and a subset of [OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca) dataset.
This dataset is part of the release of Tamil LLaMA family of... | Provide a detailed description of the following dataset: Tamil Alpaca Orca |
SMPLMarket | This is an enhanced Market-1501 dataset labeled with SMPL annotations, ie 3D human shape and pose ground truth. | Provide a detailed description of the following dataset: SMPLMarket |
FLD | A deductive reasoning benchmark based on formal logic theory.
A model is required to generate a proof that (dis-) proves a given hypothesis based on a given set of facts. | Provide a detailed description of the following dataset: FLD |
Cifar10Mnist | The **Cifar10Mnist** dataset is created using CIFAR-10 and MNIST data sources.
Since the CIFAR-10 training set consists of 50000 images and the MNIST training set contains 60000 digits, the first 50000 digits from MNIST are padded on top of the CIFAR-10 images after making them slightly translucent. A first training ... | Provide a detailed description of the following dataset: Cifar10Mnist |
TAMPAR | TAMPAR is a real-world dataset of parcel photos for tampering detection with annotations in COCO format. For details see the [paper](https://arxiv.org/abs/2311.03124) and for visual samples the [project page](https://a-nau.github.io/tampar/). Features are:
- >900 annotated real-world images with >2,700 visible parc... | Provide a detailed description of the following dataset: TAMPAR |
Dollar Street Dataset | The MLCommons Dollar Street Dataset is a collection of images of everyday household items from homes around the world that visually captures socioeconomic diversity of traditionally underrepresented populations. It consists of public domain data, licensed for academic, commercial and non-commercial usage, under CC-BY a... | Provide a detailed description of the following dataset: Dollar Street Dataset |
GneutralSpeech Female | A Brazilian Portuguese TTS dataset featuring a female voice
recorded with high quality in a controlled environment, with
neutral emotion and more than 20 hours of recordings.
with
neutral emotion and more than 20 hours of recordings. Our
dataset aims to facilitate transfer learning for researchers and
developers... | Provide a detailed description of the following dataset: GneutralSpeech Female |
GneutralSpeech Male | A database containing high sampling rate recordings of a single speaker reading sentences in Brazilian
Portuguese with neutral voice, along with the corresponding text corpus.
Intended for speech synthesis and automatic speech recognition applications, the dataset contains text extracted from a popular Brazilian ne... | Provide a detailed description of the following dataset: GneutralSpeech Male |
WSJ0-2mix-extr | WSJ0-2mix-extr is a speech extraction dataset | Provide a detailed description of the following dataset: WSJ0-2mix-extr |
Colors | A large dataset of color names and their respective RGB values stores in CSV. | Provide a detailed description of the following dataset: Colors |
A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market | Dataset for A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market | Provide a detailed description of the following dataset: A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market |
CSIQ | The CSIQ database consists of 30 original images, each is distorted using six different types of distortions at four to five different levels of distortion. CSIQ images are subjectively rated base on a linear displacement of the images across four calibrated LCD monitors placed side by side with equal viewing distance ... | Provide a detailed description of the following dataset: CSIQ |
TLUnified-NER | We present the development of a Named Entity Recognition (NER) dataset for Tagalog. This corpus helps fill the resource gap present in Philippine languages today, where NER resources are scarce. The texts were obtained from a pretraining corpora containing news reports, and were labeled by native speakers in an iterati... | Provide a detailed description of the following dataset: TLUnified-NER |
Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification | Dataset of validated OCT and Chest X-Ray images described and analyzed in "Deep learning-based classification and referral of treatable human diseases". The OCT Images are split into a training set and a testing set of independent patients. OCT Images are labeled as (disease)-(randomized patient ID)-(image number by t... | Provide a detailed description of the following dataset: Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification |
ULI-RI | The ULI-RI dataset is generated using the Unreal Engine 4 to simulate various outdoor environments with 115 high-quality 3D human models.
For each person identity, we controlled and quantitatively labeled the illumination intensity, view point (model z-rotation angle), and background to create 512 images.
There are ... | Provide a detailed description of the following dataset: ULI-RI |
Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks | Dataset used in the publication of Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks. The paper is published at npj Computational Materials (https://www.nature.com/articles/s41524-023-01125-1) | Provide a detailed description of the following dataset: Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks |
Wikidata5M | Wikidata5m is a million-scale knowledge graph dataset with aligned corpus. This dataset integrates the Wikidata knowledge graph and Wikipedia pages. Each entity in Wikidata5m is described by a corresponding Wikipedia page, which enables the evaluation of link prediction over unseen entities.
The dataset is distribut... | Provide a detailed description of the following dataset: Wikidata5M |
UNER v1 | UNER v1 adds an NER annotation layer to 18 datasets (primarily treebanks from UD) and covers 12 geneologically and ty- pologically diverse languages: Cebuano, Danish, German, English, Croatian, Portuguese, Russian, Slovak, Serbian, Swedish, Tagalog, and Chinese4. Overall, UNER v1 contains nine full datasets with traini... | Provide a detailed description of the following dataset: UNER v1 |
AIR | Adverbs in Recipes (AIR) is a dataset specifically collected for adverb recognition. AIR is a subset of HowTo100M where recipe videos show actions performed in ways that change according to an adverb (e.g. chop thinly/coarsely). AIR was carefully reviewed to ensure reliable annotations. | Provide a detailed description of the following dataset: AIR |
HowTo100M Adverbs | HowTo100M Adverbs is a subset from HowTo100M with mined adverbs from 83 tasks in HowTo100M. The annotations were obtained from automatically transcribed narrations of instructional videos. The dataset contains originally 5,824 clips annotated with action-adverb pairs from 72 verbs and 6 adverbs.
Source: [How Do You D... | Provide a detailed description of the following dataset: HowTo100M Adverbs |
VATEX Adverbs | VATEX Adverbs is a subset from VATEX with extracted verb-adverb annotations. VATEX Adverbs contains 34 adverbs appearing across 135 actions, forming 1,550 unique action-adverb pairs in 14,617 video clips. | Provide a detailed description of the following dataset: VATEX Adverbs |
ActivityNet Adverbs | ActivityNet Adverbs is a subset from the ActivityNet dataset with extracted verb-adverb annotations. ActivityNet Adverbs contains 20 adverbs appearing across 114 actions, forming 643 unique action-adverb pairs in 3,099 video clips. | Provide a detailed description of the following dataset: ActivityNet Adverbs |
MSR-VTT Adverbs | MSR-VTT Adverbs is a subset from MSR-VTT with extracted verb-adverb annotations. MSR-VTT Adverbs contains 18 adverbs appearing across 106 actions, forming 464 unique action-adverb pairs in 1,824 video clips. | Provide a detailed description of the following dataset: MSR-VTT Adverbs |
SynFoot | 50K synthetic renders of the human foot, with surface normals, masks and keypoints. | Provide a detailed description of the following dataset: SynFoot |
Conic10K | Conic10K is an open-ended math problem dataset on conic sections in Chinese senior high school education. This dataset contains 10,861 carefully annotated problems, each one has a formal representation, the corresponding text spans, the answer, and natural language rationales. These questions require long reasoning ste... | Provide a detailed description of the following dataset: Conic10K |
GSCAN | Grounded SCAN poses a simple task, where an agent must execute action sequences based on a synthetic language instruction.
The agent is presented with a simple grid world containing a collection of objects, each of which is associated with a vector of features. The agent is evaluated on its ability to follow one or ... | Provide a detailed description of the following dataset: GSCAN |
PWISeg | ## **Overview**
The Surgical Instruments Recognition Dataset is a groundbreaking collection of high-resolution images (1280x960 pixels) specifically designed for the recognition and categorization of surgical instruments. This dataset captures the intricate details and complexity of surgical tools, particularly when... | Provide a detailed description of the following dataset: PWISeg |
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