dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
Flame emission spectrum data | Spectrum data on CH4/Air flame emission with 200ms exposure and 2s exposure | Provide a detailed description of the following dataset: Flame emission spectrum data |
Occ3D | **Occ3D** is a dataset for 3D occupancy prediction, which aims to estimate the detailed occupancy and semantics of objects from multi-view images. To facilitate this task, a label generation pipeline that produces dense, visibility-aware labels for a given scene. This pipeline includes point cloud aggregation, point la... | Provide a detailed description of the following dataset: Occ3D |
ViMQ | **ViMQ** is a Vietnamese dataset of medical questions from patients with sentence-level and entity-level annotations for the Intent Classification and Named Entity Recognition tasks. It contains Vietnamese medical questions crawled from the consultation section online between patients and doctors from www.vinmec.com, a... | Provide a detailed description of the following dataset: ViMQ |
LIS | To reveal and systematically investigate the effectiveness of the proposed method in the real world, a real low-light image dataset for instance segmentation is necessary and urgently needed.
Considering there is no suitable dataset, therefore, we collect and annotate a Low-light Instance Segmentation (LIS) dataset us... | Provide a detailed description of the following dataset: LIS |
Industry Biscuit (Cookie) dataset | The Industrial Biscuits (Cookie) dataset is our internal dataset designed for the anomaly detection task, which captures Tarallini biscuits. It contains 1225 samples in four classes with the following structure:
* No defect (474 captions)
* Defect: not complete (465 captions)
* Defect: strange object (158 captions... | Provide a detailed description of the following dataset: Industry Biscuit (Cookie) dataset |
VSPW | A Large-scale Dataset for Video Scene Parsing in the Wild | Provide a detailed description of the following dataset: VSPW |
VIPSeg | A large-scale VIdeo Panoptic Segmentation dataset | Provide a detailed description of the following dataset: VIPSeg |
bSDD | The buildingSMART Data Dictionary (bSDD) is an online service that hosts classifications and their properties, allowed values, units and translations. The bSDD allows linking between all the content inside the database. It provides a standardized workflow to guarantee data quality and information consistency.
BIM mo... | Provide a detailed description of the following dataset: bSDD |
LLaVA_Instruct_150K | LLaVA Visual Instruct 150K is a set of GPT-generated multimodal instruction-following data. It is constructed for visual instruction tuning and for building large multimodal towards GPT-4 vision/language capability.
Based on the COCO dataset, we interact with langauge-only GPT-4, and collect 158K unique language-ima... | Provide a detailed description of the following dataset: LLaVA_Instruct_150K |
ChatLog | **ChatLog** is a coarse-to-fine temporal dataset called ChatLog, consisting of two parts that update monthly and daily:
1. **ChatLog-Monthly** is a dataset of 38,730 question-answer pairs collected every month including questions from both the reasoning and classification tasks.
2. **ChatLogDaily**, on the othe... | Provide a detailed description of the following dataset: ChatLog |
ResQ | ReSQ is a real-world Spatial Question Answering dataset with human-generated questions built on an existing corpus with SpRL annotations. This dataset can be used to evaluate spatial language processing models in realistic situations. | Provide a detailed description of the following dataset: ResQ |
Sound-based drone fault classification using multitask learning | arxiv : https://arxiv.org/abs/2304.11708
Accepted at 29th International Congress on Sound and Vibration (ICSV29).
The drone has been used for various purposes including military applications, aerial photography, and pesticide spraying. However, the drone is vulnerable to external disturbances, and malfunction in... | Provide a detailed description of the following dataset: Sound-based drone fault classification using multitask learning |
Reverb-WSJ0 | Noiseless reverberant dataset using the public WSJ0 corpus and simulated room impulse responses using the PyRoomAcoustics library.
Used in:
- Speech Enhancement and Dereverberation with Diffusion-based Generative Models, Richter et al., arXiv 2022
- StoRM: A Stochastic Regeneration Model for Speech Enhancement and D... | Provide a detailed description of the following dataset: Reverb-WSJ0 |
MC1296 | a dataset of reading pointer meter | Provide a detailed description of the following dataset: MC1296 |
Evosuite SF110 Benchmark | The SF100 corpus of classes is a statistically representative sample of 100 Java projects from SourceForge, which is a popular open source repository (more than 300,000 projects with more than two million registered users). Because SourceForge is home to many old and stale projects, we have extended SF100 with the 10 m... | Provide a detailed description of the following dataset: Evosuite SF110 Benchmark |
ContactArt | **ContactArt** is a dataset for learning hand-object interaction priors for hand and articulated object pose estimation. The dataset is created using visual teleoperation, where the human operator can directly play within a physical simulator to manipulate the articulated objects. All the object models are from Partne... | Provide a detailed description of the following dataset: ContactArt |
Pick-a-Pic | **Pick-a-Pic** dataset was created by logging user interactions with the Pick-a-Pic web application for text-to image generation. Overall, the Pick-a-Pic dataset contains over 500,000 examples and 35,000 distinct prompts. Each example contains a prompt, two generated images, and a label for which image is preferred, or... | Provide a detailed description of the following dataset: Pick-a-Pic |
Stain Transfer in Histopathology | The dataset contains 256x256 tiles extracted from Whole Slide Images (WSI) of mouse liver tissue stained with H&E and Masson's Trichrome. WSIs were acquired with a Zeiss AxioScan scanner with a 20× objective at a resolution of 0.221 µm/pix and subsequently subsampled with a factor of 1:2, which resulted in a 0.442 µm/p... | Provide a detailed description of the following dataset: Stain Transfer in Histopathology |
Stain Transfer | The dataset contains 256x256 tiles extracted from Whole Slide Images (WSI) of mouse liver tissue stained with H&E and Masson's Trichrome. WSIs were acquired with a Zeiss AxioScan scanner with a 20× objective at a resolution of 0.221 µm/pix and subsequently subsampled with a factor of 1:2, which resulted in a 0.442 µm/p... | Provide a detailed description of the following dataset: Stain Transfer |
WebUI | The WebUI dataset contains 400K web UIs captured over a period of 3 months and cost about $500 to crawl. We grouped web pages together by their domain name, then generated training (70%), validation (10%), and testing (20%) splits. This ensured that similar pages from the same website must appear in the same split. We ... | Provide a detailed description of the following dataset: WebUI |
Zenseact Open Dataset | The Zenseact Open Dataset (ZOD) is a large-scale and diverse multi-modal autonomous driving (AD) dataset, created by researchers at Zenseact. It was collected over a 2-year period in 14 different European counties, using a fleet of vehicles equipped with a full sensor suite. The dataset consists of three subsets: Frame... | Provide a detailed description of the following dataset: Zenseact Open Dataset |
ChCatExt | ChCatExt is composed of BidAnn (bid announcement), FinAnn (financial announcement) and CreRat (credit rating report).
It is designed for re-construct catalog trees from documents. | Provide a detailed description of the following dataset: ChCatExt |
PGPS9K | A new large scale plane geometry problem solving dataset called PGPS9K, labeled both fine-grained diagram annotation and interpretable solution program. | Provide a detailed description of the following dataset: PGPS9K |
Indigo Mobile | **Indigo Mobile** is a public dataset of copy detection patterns (CDP) based on DataMatrix modulation. | Provide a detailed description of the following dataset: Indigo Mobile |
Documentary sources of case studies on the issues a data protection officer faces on a daily basis | The dataset is composed of 95 unique document texts spanning the period 2005-2022. This dataset makes available a corpus of documentary sources useful for outlining case studies related to scenarios in which the DPO finds himself operating in the performance of his daily activities.
Ciclosi, Francesco, & Massacci, ... | Provide a detailed description of the following dataset: Documentary sources of case studies on the issues a data protection officer faces on a daily basis |
SAMRS | **SAMRS** is a remote sensing segmentation dataset which provides object category, location, and instance information that can be used for semantic segmentation, instance segmentation, and object detection, either individually or in combination. | Provide a detailed description of the following dataset: SAMRS |
DP0E | **DP0E** is a public dataset of anti-counterfeiting printable graphical codes (PGC) based on DataMatrix modulation. | Provide a detailed description of the following dataset: DP0E |
Simple Liquid-Argon Track Samples (SLATS) | **SLATS** is a dataset which covers two data domains. Each domain is populated by a variant of a LArTPC detector simulation used in the ProtoDUNE-SP experiment. The two domains differ in one feature—the detector response function. The domain real is generated with a 2D response, and the fake domain is generated with a ... | Provide a detailed description of the following dataset: Simple Liquid-Argon Track Samples (SLATS) |
Dynamic Replica | **Dynamic Replica** is a synthetic dataset of stereo videos featuring humans and animals in virtual environments. It is a benchmark for dynamic disparity/depth estimation and 3D reconstruction consisting of 145,200 stereo frames (524 videos).
The dataset contains annotations for left and right views that include: ca... | Provide a detailed description of the following dataset: Dynamic Replica |
Multimedia Goal-oriented Generative Script Learning Dataset | [Multimedia Goal-oriented Generative Script Learning Dataset](https://drive.google.com/file/d/1lSo-Kr4edNas0_uTl1SvDnEGuPYl0Or9/view?usp=sharing)
This link contains a dataset consisting of multimedia steps for two categories: gardening and crafts. The dataset consists of a total of 79,089 multimedia steps across 5,65... | Provide a detailed description of the following dataset: Multimedia Goal-oriented Generative Script Learning Dataset |
HPO | The Human Phenotype Ontology (HPO) graph is a standardized vocabulary of human phenotypic abnormalities and their relationships. It represents these abnormalities as nodes in a graph, with edges indicating relationships such as subtypes or overlapping features. The HPO graph is organized in a hierarchical structure, wi... | Provide a detailed description of the following dataset: HPO |
Car crash dataset RUSSIA 2022-2023 | Car crash dataset RUSSIA 2022-2023 is a big driving video dataset that contains over 500 high-resolution videos of various driving scenarios. The dataset was created to aid the development and testing of autonomous driving systems and other related technologies. It includes videos from Russia, captured from a diverse s... | Provide a detailed description of the following dataset: Car crash dataset RUSSIA 2022-2023 |
FilmSet | A large film style dataset | Provide a detailed description of the following dataset: FilmSet |
VISO | This dataset is a large-scale dataset for moving object detection and tracking in satellite videos, which consists of 40 satellite videos captured by Jilin-1 satellite platforms. Each image has a resolution of 12000x5000 and contains a great number of objects with different scales. Four common types of vechicles, inclu... | Provide a detailed description of the following dataset: VISO |
PerSeg | PerSeg is a dataset for personalized segmentation. The raw images are collect from the training data of subject driven diffusion models: DreamBooth, Textual Inversion, and Custom Diffusion. PerSeg contains 40 objects of various categories in total, including daily necessities, animals, and buildings. Contextualized in ... | Provide a detailed description of the following dataset: PerSeg |
NLI4CT | **NLI4CT** dataset consists of 2,400 annotated statements with accompanying labels, CTRs, and evidence. Split into 1700 training, 500 test, and 200 development instances. The two labels and 4 CTR sections prompts are equally distributed across the dataset and its splits. | Provide a detailed description of the following dataset: NLI4CT |
MIMIC-IT | **MultI-Modal In-Context Instruction Tuning (MIMIC-IT)** is a dataset for instruction tuning into multi-modal models, motivated by the Flamingo model's upstream interleaved format pretraining dataset. The data sample consists of a queried image-instruction-answer triplet, with the instruction-answer tailored to the ima... | Provide a detailed description of the following dataset: MIMIC-IT |
Bistatic MIMO Radar Sensing of Specularly Reflecting Surfaces for Wireless Power Transfer | The measurement data <b>VNA_20220722_232002_XETS_reduced.mat</b> includes a data matrix $\mathbf{R}$ acquired with a synthetic aperture measurement testbed described in [2] and [3].
Measured were $N_f=1000$ frequency steps in a band from $3-10$GHz of the scattering parameter $S_{21}$ between a synthetic $51$-ULA with... | Provide a detailed description of the following dataset: Bistatic MIMO Radar Sensing of Specularly Reflecting Surfaces for Wireless Power Transfer |
WikiWeb2M | **Wikipedia Webpage 2M (WikiWeb2M)** is a multimodal open source dataset consisting of over 2 million English Wikipedia articles. It is created by rescraping the ∼2M English articles in WIT. Each webpage sample includes the page URL and title, section titles, text, and indices, images and their captions. | Provide a detailed description of the following dataset: WikiWeb2M |
ParsVQA-Caps | Despite recent advances in vision-and-language tasks, most progress is still focused on resource-rich languages such as English. Furthermore, widespread vision-and-language datasets directly adopt images representative of American or European cultures resulting in bias. Hence we introduce ParsVQA-Caps, the first benchm... | Provide a detailed description of the following dataset: ParsVQA-Caps |
CoScript | **CoScript** is a constrained language planning dataset, which consists of 55,000 scripts. | Provide a detailed description of the following dataset: CoScript |
SecurityEval | Automated source code generation is currently a popular machine learning-based task. It can be helpful for software developers to write functionally correct code from a given context. However, just like human developers, a code generation model can produce vulnerable code, which the developers can mistakenly use. For t... | Provide a detailed description of the following dataset: SecurityEval |
SimpleQuestionsWikiData | SimpleQuestionsWikidata maps [SimpleQuestions](https://research.fb.com/downloads/babi/) to Wikidata.
It was proposed in the paper [Question Answering Benchmarks for Wikidata](https://ceur-ws.org/Vol-1963/paper555.pdf) by Diefenbach et al. | Provide a detailed description of the following dataset: SimpleQuestionsWikiData |
QDAT Quran Recitation | QDAT data set contains 1500 WAV files along with sound files stored on Excel CSV file format. The sound file contains links to the WAV files attached with other features: Age, Gender, and the correctness of the recitation of the three recitation rules and the final goal shows the correctness of the whole reading. | Provide a detailed description of the following dataset: QDAT Quran Recitation |
GeoGLUE | **GeoGLUE** is a GeoGraphic Language Understanding Evaluation benchmark, which consists of six geographic text-related tasks, including geographic textual similarity on recall, geotagged geographic elements tagging, geographic composition analysis, geographic where what cut, and geographic entity alignment. All tasks' ... | Provide a detailed description of the following dataset: GeoGLUE |
AfriQA | **AfriQA** is a cross-lingual QA dataset with a focus on African languages. AfriQA includes 12,000+ XOR QA examples across 10 African languages, where relevant passages are retrieved in a high-resource language spoken in the corresponding region and answers are translated into the source language. The dataset enables t... | Provide a detailed description of the following dataset: AfriQA |
STAR: Situated Reasoning | Reasoning in the real world is not divorced from situations. A key challenge is to capture the present knowledge from surrounding situations and reason accordingly. STAR is a novel benchmark for Situated Reasoning, which provides challenging question-answering tasks, symbolic situation descriptions and logic-grounded d... | Provide a detailed description of the following dataset: STAR: Situated Reasoning |
LIMUC | The LIMUC dataset is the largest publicly available labeled ulcerative colitis dataset that compromises 11276 images from 564 patients and 1043 colonoscopy procedures. Three experienced gastroenterologists were involved in the annotation process, and all images are labeled according to the Mayo endoscopic score (MES). | Provide a detailed description of the following dataset: LIMUC |
V-D4RL | V-D4RL provides pixel-based analogues of the popular D4RL benchmarking tasks, derived from the dm_control suite, along with natural extensions of two state-of-the-art online pixel-based continuous control algorithms, DrQ-v2 and DreamerV2, to the offline setting. | Provide a detailed description of the following dataset: V-D4RL |
NeuralRGBD | RGB-D dataset of synthetic indoor scenes with color, noisy depth map, etc. | Provide a detailed description of the following dataset: NeuralRGBD |
WebCPM | **WebCPM** is a Chinese LFQA dataset. It contains 5,500 high-quality question-answer pairs, together with 14,315 supporting facts and 121,330 web search actions. | Provide a detailed description of the following dataset: WebCPM |
MVSep | **MVSep** is a synthetic dataset for the vocal separation task created by combining random vocal and instrumental samples, publicly available on the internet. The sourced samples were separated into two sets (vocal-only and instrumental-only) and then randomly mixed together. The mixtures may not always sound like a re... | Provide a detailed description of the following dataset: MVSep |
Meta Omnium | **Meta Omnium** is a dataset-of-datasets spanning multiple vision tasks including recognition, keypoint localization, semantic segmentation and regression. Meta Omnium enables meta-learning researchers to evaluate model generalization to a much wider array of tasks than previously possible, and provides a single framew... | Provide a detailed description of the following dataset: Meta Omnium |
A View From Somewhere (AVFS) | A View From Somewhere (AVFS)—a dataset of 638,180 face similarity judgments over 4,921 faces. Each judgment corresponds to the odd-one-out (i.e., least similar) face in a triplet of faces and is accompanied by both the identifier and demographic attributes of the annotator who made the judgment. | Provide a detailed description of the following dataset: A View From Somewhere (AVFS) |
CREMP | **CREMP** is a resource generated for the rapid development and evaluation of machine learning models for macrocyclic peptides. CREMP contains 36,198 unique macrocyclical peptides and their high-quality structural ensembles generated using the Conformer-Rotamer Ensemble Sampling Tool (CREST). | Provide a detailed description of the following dataset: CREMP |
SYNTH-PEDES | **SYNTH-PEDES** is a large-scale person dataset with image-text pairs by far, which contains 312,321 identities, 4,791,711 images, and 12,138,157 textual descriptions. | Provide a detailed description of the following dataset: SYNTH-PEDES |
titanic5 Dataset | titanic5 Dataset
Created by David Beltran del Rio March 2016.
Notes
This is the final (for now) version of my update to the Titanic data. I think it’s finally ready for publishing if you’d like. What I did was to strip all the passenger and crew data from the Encyclopedia Titanica (ET) web pages (excluding channel... | Provide a detailed description of the following dataset: titanic5 Dataset |
MNAD | # About the MNAD Dataset
The MNAD corpus is a collection of over **1 million Moroccan news articles** written in modern Arabic language. These news articles have been gathered from 11 prominent electronic news sources. The dataset is made available to the academic community for research purposes, such as data mining (... | Provide a detailed description of the following dataset: MNAD |
Dynamical Systems | Trajectories of 3 dynamical systems:
- Pendulum
- Lotka-Voltera
- 3-body system
Code to re-create the datasets is provided in the repo on the folder `data_generation` | Provide a detailed description of the following dataset: Dynamical Systems |
Webis-TLDR-17 Corpus | This corpus contains preprocessed posts from the Reddit dataset, suitable for abstractive summarization using deep learning. The format is a json file where each line is a JSON object representing a post. The schema of each post is shown below:
- author: string (nullable = true)
- body: string (nullable = true)
- no... | Provide a detailed description of the following dataset: Webis-TLDR-17 Corpus |
CreditRisk | Dataset containing Credit scores and loan repayment rate (90-day default rate) for individuals, separated by race (white, black, Hispanic Asian). | Provide a detailed description of the following dataset: CreditRisk |
COMPAS | Dataset used by ProPublica to assess and analyse the fairness of the COMPAS (Correctional Offender Management Profiling for Alternative Sanctions) software.
compas.db - a sqlite3 database containing criminal history, jail and prison time, demographics and COMPAS risk scores for defendants from Broward County. | Provide a detailed description of the following dataset: COMPAS |
COVIDx CXR-3 | COVIDx CXR-3 is an open access benchmark dataset that we generated, comprising 30,882 CXR images across 17,026 patient cases. Images may be added over time to improve the dataset.
This dataset is being used to train and validate our models for COVID-19 detection from CXR images. Useful dataset code and manipulation ... | Provide a detailed description of the following dataset: COVIDx CXR-3 |
Pothole Mix | This dataset for the semantic segmentation of potholes and cracks on the road surface was assembled from 5 other datasets already publicly available, plus a very small addition of segmented images on our part. To speed up the labeling operations, we started working with depth cameras to try to automate, to some extent,... | Provide a detailed description of the following dataset: Pothole Mix |
pinkeggs | We introduce a novel dataset consisting of images depicting pink eggs that have been identified as Pomacea canaliculata eggs, accompanied by corresponding bounding box annotations. The purpose of this dataset is to aid researchers in the analysis of the spread of Pomacea canaliculata species by utilizing deep learning ... | Provide a detailed description of the following dataset: pinkeggs |
DOTA 2.0 | —In the past decade, object detection has achieved significant progress in natural images but not in aerial images, due to the
massive variations in the scale and orientation of objects caused by the bird’s-eye view of aerial images. More importantly, the lack of
large-scale benchmarks has become a major obstacle to ... | Provide a detailed description of the following dataset: DOTA 2.0 |
Tinto | The increasing use of deep learning techniques has reduced interpretation time and, ideally, reduced interpreter bias by automatically deriving geological maps from digital outcrop models. However, accurate validation of these automated mapping approaches is a significant challenge due to the subjective nature of geolo... | Provide a detailed description of the following dataset: Tinto |
CWD30 | CWD30 comprises over 219,770 high-resolution images of 20 weed species and 10 crop species, encompassing various growth stages, multiple viewing angles, and environmental conditions. The images were collected from diverse agricultural fields across different geographic locations and seasons, ensuring a representative d... | Provide a detailed description of the following dataset: CWD30 |
HAC | **HAC** is a dataset for learning and benchmarking arbitrary Hybrid Adverse Conditions restoration. HAC contains 31 scenarios composed of an arbitrary combination of five common weather, with a total of 316K adverse-weather/clean pairs. | Provide a detailed description of the following dataset: HAC |
M3KE | **M3KE** is a Massive Multi-Level Multi-Subject Knowledge Evaluation benchmark, which is developed to measure knowledge acquired by Chinese large language models by testing their multitask accuracy in zero- and few-shot settings. We have collected 20,477 questions from 71 tasks. Our selection covers all major levels of... | Provide a detailed description of the following dataset: M3KE |
Morphological Classification of Galaxies | Dataset can be used by anyone who is interested to perform morphological classification of galaxies. Originally dataset provided by Kaggle user Jay Lin (https://www.kaggle.com/jay1985) 4 years ago. Dataset was used in conference paper "Morphological Classification of Galaxies Using SpinalNet" | Provide a detailed description of the following dataset: Morphological Classification of Galaxies |
ATMs fault prediction | The collected dataset consists of multivariate time series (MTS) data belonging to several ATMs banking along with the annotations that the operators did when they performed a maintenance task on any of the machines.
Each sample is a MTS with 144 points, associated with all the 10-minute time windows of that day and... | Provide a detailed description of the following dataset: ATMs fault prediction |
SWS | **Smart Word Suggestions (SWS)** is a task and benchmark. This task involves identifying words or phrases that require improvement and providing substitution suggestions. The benchmark includes human-labeled data for testing, a large distantly supervised dataset for training, and the framework for evaluation. The test ... | Provide a detailed description of the following dataset: SWS |
SpeechInstruct | **SpeechInstruct** is a large-scale cross-modal speech instruction dataset. It contains 37,969 quadruplets composed of speech instructions, text instructions, text responses, and speech responses. | Provide a detailed description of the following dataset: SpeechInstruct |
Multi-CrossRE | **Multi-CrossRE** is a broadest multi-lingual dataset for Relation Extraction (RE) including 26 languages in addition to English, and covering six text domains. It is a machine translated version of CrossRE crossre, with a sub-portion including more than 200 sentences in seven diverse languages checked by native speake... | Provide a detailed description of the following dataset: Multi-CrossRE |
Simulated wind farm graph dataset | ## FLORIS farm dataset
A dataset for graph neural network modeling of wind farms. The current version of the dataset contains two farms, with very different geometry but similar inter-turbine statistics. The wind farms were simulated with the steady-state wake model [FLORIS](https://github.com/NREL/floris). | Provide a detailed description of the following dataset: Simulated wind farm graph dataset |
VizWiz-Classification | Our goal is to improve upon the status quo for designing image classification models trained in one domain that perform well on images from another domain. Complementing existing work in robustness testing, we introduce the first test dataset for this purpose which comes from an authentic use case where photographers w... | Provide a detailed description of the following dataset: VizWiz-Classification |
Honeycombs in Concrete | The directory HiCIS contains two datasets for instance segmentation of honeycombs in concrete in COCO Format. The datasets orginate from images scraped from the internet and the other one is provided by Metis Systems AG. The directory HiCC/web contains the dataset using the images from the internet and HICC/metis conta... | Provide a detailed description of the following dataset: Honeycombs in Concrete |
DHB Dataset | Dynamic Human Bodies dataset (DHB), containing 10 point cloud sequences from the MITAMA dataset and 4 from the 8IVFB dataset.
The sequences in DHB record 3D human motions with large and non-rigid deformation in real world.
The overall dataset contains more than 3000 point cloud frames. And each frame has 1024 poi... | Provide a detailed description of the following dataset: DHB Dataset |
NL-Drive | A challenging multi-frame interpolation dataset for autonomous driving scenarios. Based on the principle of hard-sample selection and the diversity of scenarios, NL-Drive dataset contains point cloud sequences with large nonlinear movements from three public large-scale autonomous driving datasets: KITTI, Argoverse and... | Provide a detailed description of the following dataset: NL-Drive |
naab | # naab: A ready-to-use plug-and-play corpus for Farsi
The biggest cleaned and ready-to-use open-source textual corpus in Farsi. It contains about 130GB of data, 250 million paragraphs, and 15 billion words. The project name is derived from the Farsi word NAAB K which means pure and high grade. We also provide the raw ... | Provide a detailed description of the following dataset: naab |
TFVulFix | **TFVulFix** is a dataset containing commits from TensorFlow, which is a well-known deep learning library. It contains 290 vulnerability fixing and 1,535 non-vulnerability-fixing commits. In this dataset, no commit is explicitly linked to an issue. | Provide a detailed description of the following dataset: TFVulFix |
default of credit card clients Data Set | This research aimed at the case of customers default payments in Taiwan and compares the predictive accuracy of probability of default among six data mining methods. From the perspective of risk management, the result of predictive accuracy of the estimated probability of default will be more valuable than the binary r... | Provide a detailed description of the following dataset: default of credit card clients Data Set |
AmaSum | AmaSum is the largest abstractive opinion summarization dataset, consisting of more than 33,000 human-written summaries for Amazon products. Each summary is paired, on average, with more than 320 customer reviews. Summaries consist of verdicts, pros, and cons, see the example below. | Provide a detailed description of the following dataset: AmaSum |
SPACE (Opinion Summarization) | SPACE is a large-scale opinion summarization benchmark for the evaluation of unsupervised summarizers. SPACE is built on TripAdvisor hotel reviews and includes a training set of approximately 1.1 million reviews for over 11 thousand hotels.
For evaluation, we created a collection of human-written, abstractive opinio... | Provide a detailed description of the following dataset: SPACE (Opinion Summarization) |
ActionBench | **ActionBench** contains two carefully designed probing tasks: Action Antonym and Video Reversal, which targets multimodal alignment capabilities and temporal understanding skills of the model, respectively. Action knowledge involves the understanding of textual, visual, and temporal aspects of actions. The benchmark i... | Provide a detailed description of the following dataset: ActionBench |
ChatGPT Advice Responses | *Taking Advice from ChatGPT* is a laboratory study of how student participants incorporate advice generated by ChatGPT. In a survey conducted through the Experimental Social Science Laboratory, 118 students answered 2,828 questions on topics from the MMLU benchmark. The rich dataset includes questions/choices, advice c... | Provide a detailed description of the following dataset: ChatGPT Advice Responses |
MultiTACRED | MultiTACRED is a multilingual version of the large-scale
[TAC Relation Extraction Dataset](https://nlp.stanford.edu/projects/tacred). It covers 12 typologically diverse
languages from 9 language families, and was created by the
[Speech & Language Technology group of DFKI](https://www.dfki.de/slt) by machine-trans... | Provide a detailed description of the following dataset: MultiTACRED |
SIDAR | **SIDAR** is a dataset designed to be a training and evaluation set for a multitude of tasks involving image alignment and artifact removal, such as deep homography estimation, dense image matching, 2D bundle adjustment, inpainting, shadow removal, denoising, content retrieval, and background subtraction. | Provide a detailed description of the following dataset: SIDAR |
ExplainCPE | This is a medical multiple-choice dataset with explanations which can be used to interpret the answer. The data comes from Chinese Pharmacist Examination. Each piece of data has a question, five options, a gold_answer and a gold_explanation. | Provide a detailed description of the following dataset: ExplainCPE |
ENRICH | A new synthetic, multi-purpose dataset - called ENRICH - for testing photogrammetric and computer vision algorithms. Compared to existing datasets, ENRICH offers higher resolution images also rendered with different lighting conditions, camera orientation, scales, and field of view. Specifically, ENRICH is composed of ... | Provide a detailed description of the following dataset: ENRICH |
MSRA CN NER | Simplified Chinese dataset for NER in The Third International Chinese Language Processing Bakeoff (2006), provided by Microsoft Research Asia (MSRA). | Provide a detailed description of the following dataset: MSRA CN NER |
data_qe | This file contains the data and code for the publication "The Federal Reserve's Response to the Global Financial Crisis and Its Long-Term Impact: An Interrupted Time-Series Natural Experimental Analysis" by A. C. Kamkoum, 2023. | Provide a detailed description of the following dataset: data_qe |
HWR200 | New open access dataset of handwritten texts images in Russian | Provide a detailed description of the following dataset: HWR200 |
X-Wines | X-Wines is a consistent wine dataset containing 100,646 instances and 21 million real evaluations carried out by users. Data were collected on the open Web in 2022 and pre-processed for wider free use. They refer to the scale 1–5 ratings carried out over a period of 10 years (2012–2021) for wines produced in 62 differe... | Provide a detailed description of the following dataset: X-Wines |
MSP-IMPROV | We present the MSP-IMPROV corpus, a multimodal emotional database, where the goal is to have control over lexical content and emotion while also promoting naturalness in the recordings. Studies on emotion perception often require stimuli with fixed lexical content, but that convey different emotions. These stimuli can ... | Provide a detailed description of the following dataset: MSP-IMPROV |
PMC-VQA | **PMC-VQA** is a large-scale medical visual question-answering dataset that contains 227k VQA pairs of 149k images that cover various modalities or diseases. The question-answer pairs are generated from PMC-OA. | Provide a detailed description of the following dataset: PMC-VQA |
OntoEvent | OntoEvent is a new ED dataset with event correlations. It contains 13 supertypes with 100 subtypes, derived from 4,115 documents with 60,546 event instances. | Provide a detailed description of the following dataset: OntoEvent |
ChaBuD | The dataset comprises patches of size 512x512 pixels collected from Sentinel-2 L2A satellite mission. All reported forest fires are located in California.
For each area of interest, two images are provided: pre-fire acquisition and post-fire acquisition. Each image is composed of 12 different channels, collecting info... | Provide a detailed description of the following dataset: ChaBuD |
Baidu PersonaChat | Baidu PersonaChat, which is a personalization dataset collected and open-sourced by Baidu, is similar to ConvAI2, although it’s Chinese. | Provide a detailed description of the following dataset: Baidu PersonaChat |
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