dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
DBLP-QuAD | In this work we create a question answering dataset over the DBLP scholarly knowledge graph (KG). DBLP is an on-line reference for bibliographic information on major computer science publications that indexes over 4.4 million publications, published by more than 2.2 million authors. Our dataset consists of 10,000 quest... | Provide a detailed description of the following dataset: DBLP-QuAD |
Slovo: Russian Sign Language Dataset | We introduce a large-scale video dataset **Slovo** for Russian Sign Language task. Slovo dataset size is about **16 GB**, and it contains **20400** RGB videos for **1000** sign language gestures from 194 singers. Each class has 20 samples. The dataset is divided into training set and test set by subject `user_id`. The ... | Provide a detailed description of the following dataset: Slovo: Russian Sign Language Dataset |
KIBA | Dataset Description: Toward making use of the complementary information captured by the various bioactivity types, including IC50, K(i), and K(d), Tang et al. introduces a model-based integration approach, termed KIBA to generate an integrated drug-target bioactivity matrix.
Task Description: Regression. Given the t... | Provide a detailed description of the following dataset: KIBA |
DAVIS-DTA | Dataset Description: The interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome.
Task Description: Regression. Given the target amino acid sequence/compound SMILES string, predict their binding affinity.
Dataset Statistics: 0.3.2 Update: 25,772 DTI pairs, 68 drugs... | Provide a detailed description of the following dataset: DAVIS-DTA |
SheetCopilot | The SheetCopilot dataset contains 28 evaluation workbooks and 221 spreadsheet manipulation tasks that are applied to these workbooks. These tasks involve diverse atomic actions related to six task categories (i.e. Entry and manipulation, Formatting, Management, Charts, Pivot Table, and Formula).
Dataset statistics:
... | Provide a detailed description of the following dataset: SheetCopilot |
DermSynth3D | A dataset of 100K synthetic images of skin lesions, ground-truth (GT) segmentations of lesions and healthy skin, GT segmentations of seven body parts (head, torso, hips, legs, feet, arms and hands), and GT binary masks of non-skin regions in the texture maps of 215 scans from the 3DBodyTex.v1 dataset [2], [3] created u... | Provide a detailed description of the following dataset: DermSynth3D |
InstructOpenWiki | **InstructOpenWiki** is a substantial instruction tuning dataset for Open-world IE enriched with a comprehensive corpus, extensive annotations, and diverse instructions. | Provide a detailed description of the following dataset: InstructOpenWiki |
ALCE | **ALCE** is a benchmark for Automatic LLMs' Citation Evaluation. ALCE collects a diverse set of questions and retrieval corpora and requires building end-to-end systems to retrieve supporting evidence and generate answers with citations. | Provide a detailed description of the following dataset: ALCE |
Bactrian-X | **Bactrian-X** is a comprehensive multilingual parallel dataset of 3.4 million instruction-response pairs across 52 languages. The instructions were obtained from alpaca-52k, and dolly-15k, and tranlated into 52 languages (52 languages x 67k instances = 3.4M instances). | Provide a detailed description of the following dataset: Bactrian-X |
JEEBench | JEEBench is a considerably more challenging benchmark dataset for evaluating the problem solving abilities of LLMs. It curates 450 challenging pre-engineering mathematics, physics and chemistry problems from the IIT JEE-Advanced Exam. Long-horizon reasoning on top of deep in-domain knowledge is essential for solving pr... | Provide a detailed description of the following dataset: JEEBench |
JDsearch | **JDsearch** is a personalized product search dataset comprised of real user queries and diverse user-product interaction types (clicking, adding to cart, following, and purchasing) collected from JD.com, a popular Chinese online shopping platform. More specifically, the authors sample about 170,000 active users on a s... | Provide a detailed description of the following dataset: JDsearch |
UltraDensePose | a character sheet dataset containing over 700,000 hand-drawn and synthesized images of diverse poses | Provide a detailed description of the following dataset: UltraDensePose |
COCO-OOD | COCO-OOD dataset contains only unknown categories, consisting of 504 images with fine-grained annotations of 1655 unknown objects. All annotations consist of original annotations in COCO and the augmented annotations on the basis of the COCO definition. | Provide a detailed description of the following dataset: COCO-OOD |
COCO-Mix | COCO-Mixed dataset includes 897 images with annotations of both known and unknown categories. It contains 2533 unknown objects and 2658 known objects, with original COCO annotations used as labels for known objects. Unambiguous unlabeled objects are also annotated. The dataset is more challenging to evaluate due to the... | Provide a detailed description of the following dataset: COCO-Mix |
DaLAJ | DaLAJ 1.0, a Dataset for Linguistic Acceptability Judgments for Swedish, comprising 9 596 sentences in its first version; and the initial experiment using it for the binary classification task. DaLAJ is based on the SweLL second language learner data, consisting of essays at different levels of proficiency. | Provide a detailed description of the following dataset: DaLAJ |
ACNE04 | The ACNE04 dataset includes 3756 Chinese face images with Acne. The ACNE04 dataset includes the annotations of local lesion numbers and global acne
severity based on Hayashi Criterion. | Provide a detailed description of the following dataset: ACNE04 |
Drug Combination Extraction Dataset | This dataset consists of 1634 biomedical abstracts, expert-annotated for the purpose of extracting information about the efficacy of drug combinations from the scientific literature. Beyond its practical utility, the dataset also presents a unique NLP challenge, as the first relation extraction dataset consisting of var... | Provide a detailed description of the following dataset: Drug Combination Extraction Dataset |
ICConv | The dataset contains 105,811 information-seeking conversations converted from MS MARCO. This dataset is constructed to relieve the data scarcity problem of conversational search to an extent. Considering the multi-intent problem and contextual information, this large-scale intent-oriented and context-aware dataset is a... | Provide a detailed description of the following dataset: ICConv |
RUGD | A Video Dataset for Visual Perception and Autonomous Navigation in Unstructured Environments.
Website: http://rugd.vision/
The RUGD dataset focuses on semantic understanding of unstructured outdoor environments for applications in off-road autonomous navigation. The datset is comprised of video sequences captured ... | Provide a detailed description of the following dataset: RUGD |
Drone-Action | Website: https://asankagp.github.io/droneaction/ | Provide a detailed description of the following dataset: Drone-Action |
RoCoG-v2 | RoCoG-v2 (Robot Control Gestures) is a dataset intended to support the study of synthetic-to-real and ground-to-air video domain adaptation. It contains over 100K synthetically-generated videos of human avatars performing gestures from seven (7) classes. It also provides videos of real humans performing the same gestur... | Provide a detailed description of the following dataset: RoCoG-v2 |
UTCD | UTCD is a compilation of 18 classification datasets spanning 3 categories of Sentiment, Intent/Dialogue, and Topic classification. UTCD focuses on the task of zero-shot text classification where the candidate labels are descriptive of the text being classified. UTCD consists of ~ 6M/800K train/test examples. | Provide a detailed description of the following dataset: UTCD |
InspiRe | We analyze **social media** posts to tease out what makes a post inspiring and what topics are inspiring. We release a dataset of **5,800 inspiring and 5,800 non-inspiring English-language** public post unique ids collected from a dump of **Reddit public posts** made available by a third party and use linguistic heuris... | Provide a detailed description of the following dataset: InspiRe |
WhenAct | We consider the task of **temporal human action localization in lifestyle vlogs**. We introduce a novel dataset consisting of **manual annotations** of **temporal localization for 13,000 narrated actions in 1,200 video clips**.
We present an extensive analysis of this data, which allows us to better understand how the... | Provide a detailed description of the following dataset: WhenAct |
InDL | **Dataset Introduction**
In this work, we introduce the In-Diagram Logic (InDL) dataset, an innovative resource crafted to rigorously evaluate the logic interpretation abilities of deep learning models. This dataset leverages the complex domain of visual illusions, providing a unique challenge for these models.
T... | Provide a detailed description of the following dataset: InDL |
Dataset for neutron and gamma-ray pulse shape discrimination: radiation pulse signals and discrimination methodologies | This dataset provides neutron and gamma-ray pulse signals for pulse shape discrimination experiments. Serval traditional and recently proposed pulse shape discrimination algorithms are utilized to conduct pulse shape discrimination under raw pulse signals and noise-enhanced datasets. These algorithms include zero-cross... | Provide a detailed description of the following dataset: Dataset for neutron and gamma-ray pulse shape discrimination: radiation pulse signals and discrimination methodologies |
ACOS | Most of the aspect based sentiment analysis research aims at identifying the sentiment polarities toward some explicit aspect terms while ignores implicit aspects in text. To capture both explicit and implicit aspects, we focus on aspect-category based sentiment analysis, which involves joint aspect category detection ... | Provide a detailed description of the following dataset: ACOS |
ASQP | Aspect-based sentiment analysis (ABSA) typically focuses on extracting aspects and predicting their sentiments on individual sentences such as customer reviews. Recently, another kind of opinion sharing platform, namely question answering (QA) forum, has received increasing popularity, which accumulates a large number ... | Provide a detailed description of the following dataset: ASQP |
ASTE | Target-based sentiment analysis or aspect-based sentiment analysis (ABSA) refers to addressing various sentiment analysis tasks at a fine-grained level, which includes but is not limited to aspect extraction, aspect sentiment classification, and opinion extraction. There exist many solvers of the above individual subta... | Provide a detailed description of the following dataset: ASTE |
TASD | Aspect-based sentiment analysis (ABSA) aims to detect the targets (which are composed by continuous words), aspects and sentiment polarities in text. Published datasets from SemEval-2015 and SemEval-2016 reveal that a sentiment polarity depends on both the target and the aspect. However, most of the existing methods co... | Provide a detailed description of the following dataset: TASD |
HR-Avenue | The human-Related version of the CUHK Avenue dataset, first presented by Morais et al. in the paper "Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos". | Provide a detailed description of the following dataset: HR-Avenue |
Watkins Marine Mammal Sounds | One of the founding fathers of marine mammal bioacoustics, William Watkins, carried out pioneering work with William Schevill at the Woods Hole Oceanographic Institution for more than four decades, laying the groundwork for our field today. One of the lasting achievements of his career was the Watkins Marine Mammal Sou... | Provide a detailed description of the following dataset: Watkins Marine Mammal Sounds |
Speech Accent Archive | The speech accent archive uniformly presents a large set of speech samples from a variety of language backgrounds. Native and non-native speakers of English read the same paragraph and are carefully transcribed. The archive is used by people who wish to compare and analyze the accents of different English speakers. | Provide a detailed description of the following dataset: Speech Accent Archive |
HR-UBnormal | The Human Related version of UBnormal ("UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection," Acsintoae et al.) was introduced by Flaborea et al. in the paper "Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection". | Provide a detailed description of the following dataset: HR-UBnormal |
NaSGEC | **NaSGEC** is a new dataset to facilitate research on Chinese grammatical error correction (CGEC) for native speaker texts from multiple domains. Previous CGEC research primarily focuses on correcting texts from a single domain, especially learner essays. | Provide a detailed description of the following dataset: NaSGEC |
CN-Celeb-AV | **CN-Celeb-AV** is a multi-genre AVPR dataset collected 'in the wild'. This dataset contains more than 420k video segments from 1,136 persons from public media. | Provide a detailed description of the following dataset: CN-Celeb-AV |
FishEye8K | With the advance of AI, road object detection has been a prominent topic in computer vision, mostly using perspective cameras. Fisheye lens provides omnidirectional wide coverage for using fewer cameras to monitor road intersections, however with view distortions. The dataset will be available on the GitHub (https://gi... | Provide a detailed description of the following dataset: FishEye8K |
SHD | The Spiking Heidelberg Digits (SHD) dataset is an audio-based classification dataset of 1k spoken digits ranging from __zero__ to __nine__ in the English and German languages. The audio waveforms have been converted into spike trains using an artificial model of the inner ear and parts of the ascending auditory pathway... | Provide a detailed description of the following dataset: SHD |
MADDPG AND P2P-VFRL FOR MINIMIZING AOI IN NTN NETWORK UNDER CSI UNCERTAINTY | MADDPG AND P2P-VFRL FOR MINIMIZING AOI IN NTN NETWORK UNDER CSI UNCERTAINTY | Provide a detailed description of the following dataset: MADDPG AND P2P-VFRL FOR MINIMIZING AOI IN NTN NETWORK UNDER CSI UNCERTAINTY |
VNHSGE | The VNHSGE (VietNamese High School Graduation Examination) dataset, developed exclusively for evaluating large language models (LLMs), is introduced in this article. The dataset, which covers nine subjects, was generated from the Vietnamese National High School Graduation Examination and comparable tests. 300 literary ... | Provide a detailed description of the following dataset: VNHSGE |
Stained mice brain blood vessels. Confocal-LFM | 3D confocal stacks with corresponding 2D Light-field microscope images
Confocal:
-Single volume dimension: 1287x1287x64.
-Number of samples: 362
-Voxel size: 0.086x0.086x0.9 um.
-Objective: 40x/1.3 Oil.
-Stain: tomato lectin (DyLight594 conjugated, DL-1177, Vector Laboratories).
LightField:
-Image dimension... | Provide a detailed description of the following dataset: Stained mice brain blood vessels. Confocal-LFM |
Law Stack Exchange | ## Description
Dataset from the Law Stack Exchange, as used in ["Parameter-Efficient Legal Domain Adaptation"](https://aclanthology.org/2022.nllp-1.10/) (Li et al., 2022). We introduce a dataset with data from the Law Stack Exchange. This dataset is composed of questions from the Law Stack Exchange, which is a communi... | Provide a detailed description of the following dataset: Law Stack Exchange |
Legal Advice Reddit | ## Dataset Summary
New dataset introduced in [Parameter-Efficient Legal Domain Adaptation](https://aclanthology.org/2022.nllp-1.10) (Li et al., 2022) from the Legal Advice Reddit community (known as "/r/legaldvice"), sourcing the Reddit posts from the Pushshift
Reddit dataset. The dataset maps the text and title of... | Provide a detailed description of the following dataset: Legal Advice Reddit |
PKLot | The PKLot dataset contains 12,417 images of parking lots and 695,899 images of parking spaces segmented from them, which were manually checked and labeled. All images were acquired at the parking lots of the Federal University of Parana (UFPR) and the Pontificial Catholic University
of Parana (PUCPR), both located in ... | Provide a detailed description of the following dataset: PKLot |
SOTU_QA_2023 | Curated QA Benchmark on State of the Union Address 2023.
It contains curated question and answers based on knowledge presented in State of the Union Address 2023 (in Feb).
It is especially useful for tool-augmented LMs / ALMs to examine the model's ability in answering over private document. | Provide a detailed description of the following dataset: SOTU_QA_2023 |
CVB | Existing image/video datasets for cattle behavior recognition are mostly small, lack well-defined labels, or are collected in unrealistic controlled environments. This limits the utility of machine learning (ML) models learned from them. Therefore, we introduce a new dataset, called Cattle Visual Behaviors (CVB), that ... | Provide a detailed description of the following dataset: CVB |
MSVWild863 | WMVeID863 is captured with vehicles in motion with more challenges, such as motion blur,
huge background changes, and especially intense flare degradation from car lamps, and sunlight. It contains 863 identities of vehicle triplets (RGB, NI, and TI) captured with 8 camera views at a traffic checkpoint, contributing 14... | Provide a detailed description of the following dataset: MSVWild863 |
PRM800K | **PRM800K** is a process supervision dataset containing 800,000 step-level correctness labels for model-generated solutions to problems from the MATH dataset. | Provide a detailed description of the following dataset: PRM800K |
PopulationGrowthDataset_Kigali | This dataset contains annual Sentinel-2 MSI composites (wet and dry season) for Kigali for the period 2016-2020. In addition, a metadata file containing population count at the grid level (100 x 100 m) for 2020 and at the census level (administrative units) for 2016 and 2020 is provided. Ancillary data such as the admi... | Provide a detailed description of the following dataset: PopulationGrowthDataset_Kigali |
IRFL: Image Recognition of Figurative Language | The IRFL dataset consists of idioms, similes, and metaphors with matching figurative and literal images, as well as two novel tasks of multimodal figurative understanding and preference.
We collected figurative and literal images for textual idioms, metaphors, and similes using an automatic pipeline we created (idi... | Provide a detailed description of the following dataset: IRFL: Image Recognition of Figurative Language |
E-ReDial | E-ReDial is a conversational recommender system dataset with high-quality explanations. It consists of 756 dialogues with 12,003 utterances, each with 15.9 turns on average. 2,058 high-quality explanations are included, each with 79.2 tokens on average. | Provide a detailed description of the following dataset: E-ReDial |
TAP | The Traffic Accident Prediction (TAP) data repository offers extensive coverage for 1,000 US cities (TAP-city) and 49 states (TAP-state), providing real-world road structure data that can be easily used for graph-based machine learning methods such as Graph Neural Networks. Additionally, it features multi-dimensional g... | Provide a detailed description of the following dataset: TAP |
SLAKE | SLAKE is an English-Chinese bilingual dataset consisting of 642 images and 14,028 question-answer pairs for training and testing Med-VQA systems. | Provide a detailed description of the following dataset: SLAKE |
Synthetic Graph | We include five substructure counting tasks: 3-stars, triangles, tailed triangles, chordal cycles and attributed triangles. 3-star is a subgraph-counting task while the remaining are induced-subgraph-counting. | Provide a detailed description of the following dataset: Synthetic Graph |
OVQA | OVQA contains 19,020 medical visual question and answer pairs generated from 2,001 medical images collected from 2,212 EMRs in Orthopedics. | Provide a detailed description of the following dataset: OVQA |
Sonicverse | **Sonicverse** is a multisensory simulation platform with integrated audio-visual simulation for training household agents that can both see and hear. Sonicverse models realistic continuous audio rendering in 3D environments in real-time. Together with a new audio-Visual VR interface that allows humans to interact with... | Provide a detailed description of the following dataset: Sonicverse |
ObjectFolder Real | The **ObjectFolder Real** dataset contains multisensory data collected from 100 real-world household objects. The visual data for each object include three high-quality 3D meshes of different resolutions and an HD video recording of the object rotating in a lightbox; The acoustic data for each object include impact sou... | Provide a detailed description of the following dataset: ObjectFolder Real |
gRefCOCO | gRefCOCO is the first large-scale Generalized Referring Expression Segmentation dataset that contains multi-target, no-target, and single-target expressions. | Provide a detailed description of the following dataset: gRefCOCO |
Multi-Spectral Stereo Dataset (RGB, NIR, thermal images, LiDAR, GPS/IMU) | Abstract:
We introduce the multi-spectral stereo (MS2) outdoor dataset, including stereo RGB, stereo NIR, stereo thermal, stereo LiDAR data, and GPS/IMU information. Our dataset provides rectified and synchronized 184K data pairs taken from city, residential, road, campus, and suburban areas in the morning, daytime, ... | Provide a detailed description of the following dataset: Multi-Spectral Stereo Dataset (RGB, NIR, thermal images, LiDAR, GPS/IMU) |
Iran's Built Heritage Binary Image Classification Dataset | **Iran's Built Heritage Binary Image Classification Dataset** contains approximately 10,500 CHB images gathered from four different sources:
i) The archives of Iran’s cultural heritage ministry
ii) The author’s (M.B) personal archives
iii) images captured on site by the authors (M.B) during the research proces... | Provide a detailed description of the following dataset: Iran's Built Heritage Binary Image Classification Dataset |
AMI Meeting Corpus | AMI Meeting Corpus in JSON format. | Provide a detailed description of the following dataset: AMI Meeting Corpus |
ICSI Meeting Corpus | ICSI Meeting Corpus in JSON format. | Provide a detailed description of the following dataset: ICSI Meeting Corpus |
ELITR Minuting Corpus | ELITR Minuting Corpus in JSON format. | Provide a detailed description of the following dataset: ELITR Minuting Corpus |
Switchboard Dialog Act Corpus | Switchboard Dialog Act Corpus | Provide a detailed description of the following dataset: Switchboard Dialog Act Corpus |
BabySLM | **BabySLM** is a language-acquisition-friendly benchmark to probe speech-based LMs at the lexical and syntactic levels, both of which are compatible with the vocabulary typical of children's language experiences. | Provide a detailed description of the following dataset: BabySLM |
CovidET-EXT | CovidET-EXT is a dataset that augments Zhan et al. (2022)'s abstractive dataset CovidET (in the context of the COVID-19 crisis) with extractive triggers. The result is a dataset of 1,883 Reddit posts about the COVID-19 pandemic, manually annotated with 7 fine-grained emotions (from CovidET) and their corresponding extr... | Provide a detailed description of the following dataset: CovidET-EXT |
Unidecor | UNIDECOR is a unified corpus consolidating publicly available textual deception datasets into a common format. | Provide a detailed description of the following dataset: Unidecor |
ARO | Attribution, Relation, and Order (ARO) benchmark to systematically evaluate the ability of VLMs to understand different types of relationships, attributes, and order information. ARO consists of Visual Genome Attribution, to test the understanding of objects' properties; Visual Genome Relation, to test for relational u... | Provide a detailed description of the following dataset: ARO |
PanCollection | Pansharpening Datasets from WorldView 2, WorldView 3, QuickBird, Gaofen 2 sensors. | Provide a detailed description of the following dataset: PanCollection |
FinRED | **FinRED** is a relation extraction dataset curated from financial news and earning call transcripts containing relations from the finance domain. FinRED has been created by mapping Wikidata triplets using distance supervision method. | Provide a detailed description of the following dataset: FinRED |
A Game Of Sorts | **A Game Of Sorts** is a collaborative image ranking task. Players are asked to rank a set of images based on a given sorting criterion. The game provides a framework for the evaluation of visually grounded language understanding and generation of referring expressions in multimodal dialogue settings. | Provide a detailed description of the following dataset: A Game Of Sorts |
SynthRAD2023 | Purpose
Medical imaging has become increasingly important in diagnosing and treating oncological patients, particularly in radiotherapy. Recent advances in synthetic computed tomography (sCT) generation have increased interest in public challenges to provide data and evaluation metrics for comparing different approach... | Provide a detailed description of the following dataset: SynthRAD2023 |
Zambezi Voice | This work introduces Zambezi Voice, an open-source multilingual speech resource for Zambian languages. It contains two collections of datasets: unlabelled audio recordings of radio news and talk shows programs (160 hours) and labelled data (over 80 hours) consisting of read speech recorded from text sourced from public... | Provide a detailed description of the following dataset: Zambezi Voice |
Youku-mPLUG | **Youku-mPLUG** is a large Chinese high-quality video-language dataset which is collected from Youku.com, a well-known Chinese video-sharing website, with strict criteria of safety, diversity, and quality. It contains 10 million video-text pairs for pre-training and 0.3 millon videos for downstream benchmarks covering ... | Provide a detailed description of the following dataset: Youku-mPLUG |
MultiSum | **MultiSum** is a dataset for multimodal summarization (MSMO). It consists of 17 categories and 170 subcategories to encapsulate a diverse array of real-world scenarios. The dataset features:
1)Human-validated summaries for both video and textual content, providing superior human instruction and labels for multimoda... | Provide a detailed description of the following dataset: MultiSum |
PAMAP2 | The PAMAP2 Physical Activity Monitoring dataset contains data of 18 different physical activities (such as walking, cycling, playing soccer, etc.), performed by 9 subjects wearing 3 inertial measurement units and a heart rate monitor. The dataset can be used for activity recognition and intensity estimation, while deve... | Provide a detailed description of the following dataset: PAMAP2 |
RKI and DIVI COVID-19 Data combined | This database consists of two main components; data on COVID-19 infections and data on the ICU occupancy of COVID-19 patients. The infections and the ICU occupancy are collected by the German health care departments, recorded by the Robert Koch Institute (2021) (RKI), the German federal government agency and scientific... | Provide a detailed description of the following dataset: RKI and DIVI COVID-19 Data combined |
HighwayPavementCrackDetection | 1. The image comes from the CCD camera of the highway measurement vehicle.
2. Cracks and sealed cracks have been labeled.
3. The form of labels is different from traditional block annotations, but uses redundant and dense annotation boxes.
4. Some of the data is manually annotated, while others are model generate... | Provide a detailed description of the following dataset: HighwayPavementCrackDetection |
mOKB6 | Multilingual Open Knowledge Base Completion benchmark in 6 languages: English, Hindi, Telugu, Spanish, Portuguese, and Chinese. | Provide a detailed description of the following dataset: mOKB6 |
Krapivin | A dataset for benchmarking keyphrase extraction and generation techniques from long document English scientific papers. The dataset has high quality and consists of 2,000 scientific papers from the Computer Science domain published by ACM. Each paper has its keyphrases assigned by the authors and verified by the review... | Provide a detailed description of the following dataset: Krapivin |
NUS | The dataset was constructed by first finding suitable publications and then collecting keyphrases from manual annotators. Google SOAP API was used to find documents using variants of the query “keywords general terms filetype:pdf”. Over 250 of these PDF documents were downloaded for further processing. Documents were t... | Provide a detailed description of the following dataset: NUS |
Mindgames | We generate epistemic reasoning problems using modal logic to target theory of mind (tom) in natural language processing models. | Provide a detailed description of the following dataset: Mindgames |
probability_words_nli | This dataset tests the capabilities of language models to correctly capture the meaning of words denoting probabilities (WEP, also called verbal probabilities), e.g. words like "probably", "maybe", "surely", "impossible". | Provide a detailed description of the following dataset: probability_words_nli |
RESD | Russian dataset of emotional speech dialogues. This dataset was assembled from ~3.5 hours of live speech by actors who voiced pre-distributed emotions in the dialogue for ~3 minutes each. <br>
Each sample of dataset contains name of part from the original dataset studio source, speech file (16000 or 44100Hz) of human ... | Provide a detailed description of the following dataset: RESD |
AMOS | Despite the considerable progress in automatic abdominal multi-organ segmentation from CT/MRI scans in recent years, a comprehensive evaluation of the models' capabilities is hampered by the lack of a large-scale benchmark from diverse clinical scenarios. Constraint by the high cost of collecting and labeling 3D medica... | Provide a detailed description of the following dataset: AMOS |
PhotoChat | PhotoChat, the first dataset that casts light on the photo sharing behavior in online messaging. PhotoChat contains 12k dialogues,
each of which is paired with a user photo that is shared during the conversation. Based on this dataset, we propose two tasks to facilitate research on image-text modeling: a
photo-shari... | Provide a detailed description of the following dataset: PhotoChat |
MICCAI iSEG-2017 | The MICCAI iSEG dataset was described in "https://iseg2017.web.unc.edu/how-to-cite/", that has a total of 10 images, including T1-1 through T1-10, T2-1 through T2-10, and a
ground truth for the training set. And there are 13 images, T-11 through T-23, including T-11 through T-23 for test set. | Provide a detailed description of the following dataset: MICCAI iSEG-2017 |
MMConv | The main goal of the data collection is to acquire highly natural conversations that cover a wide variety of styles and scenarios. In total, the presented corpus consists of five domains: Food, Hotel, Nightlife, Shopping mall and Sightseeing. Controlled by our various task settings, the collected dialogues cover betwee... | Provide a detailed description of the following dataset: MMConv |
SIMMC2.0 | Next generation task-oriented dialog systems need to understand conversational contexts with their perceived surroundings, to effectively help users in the real-world multimodal environment. Existing task-oriented dialog datasets aimed towards virtual assistance fall short and do not situate the dialog in the user's mu... | Provide a detailed description of the following dataset: SIMMC2.0 |
PAX-Ray++ | The PAX-Ray++ dataset uses pseudo-labeled thorax CTs to enable the segmentation of anatomy in Chest X-Rays. By projecting the CTs to a 2D plane, we gather fine-grained annotated imaages resembling radiographs. It contains 7,377 frontal and lateral view images each with 157 anatomy classes and over 2 million annotated i... | Provide a detailed description of the following dataset: PAX-Ray++ |
Famous Keyword Twitter Replies | The **"Famous Keyword Twitter Replies Dataset"** is a comprehensive collection of Twitter data that focuses on popular keywords and their associated replies. This dataset contains five essential columns that provide valuable insights into the Twitter conversation dynamics:
1. **Keyword:** This column represents the ... | Provide a detailed description of the following dataset: Famous Keyword Twitter Replies |
WeiboPolls | ### Dataset Description
The dataset described in the provided text is focused on social media polls collected from Weibo, a popular Chinese microblogging platform. The dataset aims to empirically study social media polls and analyze user engagement patterns.
### Characteristics of the Dataset
- Size: The datas... | Provide a detailed description of the following dataset: WeiboPolls |
PTCGA200 | **PTCGA200** is a public pathological H&E image datasets from Patch TCGA in 200 microns by 512 px. | Provide a detailed description of the following dataset: PTCGA200 |
PCam200 | **PCam200** is a public pathological H&E image dataset from Patch Camelyon in 200 microns by 512 px made in the same manner from Camelyon2016 challenge dataset. | Provide a detailed description of the following dataset: PCam200 |
SegPANDA200 | **SegPANDA200** is a public pathological H&E image dataset from segmentation task on PANDA challenge in 200 microns by 512px made in the same manner from PANDA challenge dataset . | Provide a detailed description of the following dataset: SegPANDA200 |
VC-Clothes | Person re-identification (Reid) is now an active research topic for AI-based video surveillance applications such as specific person search, but the practical issue that the target person(s) may change clothes (clothes inconsistency problem) has been overlooked for long. For the first time, this paper systematically st... | Provide a detailed description of the following dataset: VC-Clothes |
CIFAR-10H | CIFAR-10H is a new dataset of soft labels reflecting human perceptual uncertainty for the 10,000-image CIFAR-10 test set. This contains 1,000 images for each of the 10 categories in the original CIFAR-10 dataset.
There are a total of 511,400 human classifications collected via Amazon Mechanical Turk. When specifying... | Provide a detailed description of the following dataset: CIFAR-10H |
OpenSpeaks Voice: Odia | OpenSpeaks Voice: Odia is a large speech dataset in the Odia language of India that is stewarded by Subhashish Panigrahi and is hosted at the O Foundation. It currently hosts over 70,000 audio files under a Universal Public Domain (CC0 1.0) Release. Of these, 66,000, hosted on Wikimedia Commons, include pronunciation o... | Provide a detailed description of the following dataset: OpenSpeaks Voice: Odia |
Immobilized fluorescently stained zebrafish through the eXtended Field of view Light Field Microscope 2D-3D dataset | This dataset comprises three immobilized fluorescently stained zebrafish imaged through the eXtended Field of view Light Field Microscope (XLFM, also known as Fourier Light Field Microscope). The images were preprocessed with the SLNet, which extracts the sparse signals from the images (a.k.a. the neural activity).
... | Provide a detailed description of the following dataset: Immobilized fluorescently stained zebrafish through the eXtended Field of view Light Field Microscope 2D-3D dataset |
Teeth3DS | Teeth3DS is the first public benchmark which has been created in the frame of the 3DTeethSeg 2022 MICCAI challenge to boost the research field and inspire the 3D vision research community to work on intra-oral 3D scans analysis such as teeth identification, segmentation, labeling, 3D modeling, and 3D reconstruction. Te... | Provide a detailed description of the following dataset: Teeth3DS |
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