dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
FineAction | **FineAction** contains 103K temporal instances of 106 action categories, annotated in 17K untrimmed videos. FineAction introduces new opportunities and challenges for temporal action localization, thanks to its distinct characteristics of fine action classes with rich diversity, dense annotations of multiple instances... | Provide a detailed description of the following dataset: FineAction |
VANiLLa | **VANiLLa** is a dataset for Question Answering over Knowledge Graphs (KGQA) offering answers in natural language sentences. The answer sentences in this dataset are syntactically and semantically closer to the question than to the triple fact. The dataset consists of over 100k simple questions adapted from the CSQA an... | Provide a detailed description of the following dataset: VANiLLa |
TabStructDB | In ICDAR-17, a Page-Object Detection (POD) competition was organized where the task was to identify page objects in documents which includes tables, figures and equations in document. The dataset was composed of 2417 images in total, where 1600 images were used for training, while the rest of the 817 images were used f... | Provide a detailed description of the following dataset: TabStructDB |
TEP | The original paper presented a model of the industrial chemical process named Tennessee Eastman Process and a model-based TEP simulator for data generation. The most widely used benchmark consists of 22 datasets, 21 of which (Fault 1–21) contain faults and 1 (Fault 0) is fault-free. It is available in [repository](http... | Provide a detailed description of the following dataset: TEP |
TaxiBJ | TaxiBJ consists of trajectory data from taxicab GPS data and meteorology data in Beijing from four time intervals: 1st Jul. 2013 - 30th Otc. 2013, 1st Mar. 2014 - 30th Jun. 2014, 1st Mar. 2015 - 30th Jun. 2015, 1st Nov. 2015 - 10th Apr. 2016. | Provide a detailed description of the following dataset: TaxiBJ |
VidHOI | VidHOI is a video-based human-object interaction detection benchmark. VidHOI is based on VidOR which is densely annotated with all humans and predefined objects showing up in each frame. VidOR is also more challenging as the videos are non-volunteering user-generated and thus jittery at times.
Image source: [https:/... | Provide a detailed description of the following dataset: VidHOI |
PIC | The Person In Context (PIC) dataset is a dataset for human-centric relation segmentation (HRS), which contains 17,122 high-resolution images and densely annotated entity segmentation and relations, including 141 object categories, 23 relation categories and 25 semantic human parts. | Provide a detailed description of the following dataset: PIC |
JobStack | JobStack is a new corpus for de-identification of personal data in job vacancies on Stackoverflow. De-identification is the task of detecting privacy-related entities in text, such as person names, emails and contact data. | Provide a detailed description of the following dataset: JobStack |
WikiBioCTE | **WikiBioCTE** is a dataset for controllable text edition based on the existing dataset WikiBio (originally created for table-to-text generation). In the task of controllable text edition the input is a long text, a question, and a target answer, and the output is a minimally modified text, so that it fits the target ... | Provide a detailed description of the following dataset: WikiBioCTE |
BDD-X | **Berkeley Deep Drive-X (eXplanation)** is a dataset is composed of over 77 hours of driving within 6,970 videos. The videos are taken in diverse driving conditions, e.g. day/night, highway/city/countryside, summer/winter etc. On average 40 seconds long, each video contains around 3-4 actions, e.g. speeding up, slowing... | Provide a detailed description of the following dataset: BDD-X |
Dataset for: "It is just a flu: Assessing the Effect of Watch History on YouTube's Pseudoscientific Video Recommendations" | The dataset consists of three files: the metadata, comments, and captions of the ground-truth dataset videos collected and manually reviewed in this paper.
1. Video Metadata:
- "groundtruth_videos.json": Contains the metadata of our manually reviewed ground-truth dataset videos. The ground-truth dataset includes 1,... | Provide a detailed description of the following dataset: Dataset for: "It is just a flu: Assessing the Effect of Watch History on YouTube's Pseudoscientific Video Recommendations" |
Enron Email Dataset | This dataset was collected and prepared by the CALO Project (A Cognitive Assistant that Learns and Organizes). It contains data from about 150 users, mostly senior management of Enron, organized into folders. The corpus contains a total of about 0.5M messages. This data was originally made public, and posted to the web... | Provide a detailed description of the following dataset: Enron Email Dataset |
DCASE 2019 Mobile | **TAU Urban Acoustic Scenes 2019 Mobile** development dataset consists of 10-seconds audio segments from 10 acoustic scenes:
Airport
Indoor shopping mall
Metro station
Pedestrian street
Public square
Street with medium level of traffic
Travelling by a tram
Travelling by a bus
... | Provide a detailed description of the following dataset: DCASE 2019 Mobile |
MacaquePose | **MacaquePose** is an animal pose estimation dataset containing pictures of macaque monkeys and manually labeled annotations on them. | Provide a detailed description of the following dataset: MacaquePose |
Vinegar Fly | **Vinegar Fly** is a pose estimation dataset for fruit flies. | Provide a detailed description of the following dataset: Vinegar Fly |
Desert Locust | **Desert Locus** is a animal pose estimation dataset for desert locuses. | Provide a detailed description of the following dataset: Desert Locust |
Grévy’s Zebra | **Grévy’s Zebra** is an animal pose estimation dataset for zebras. | Provide a detailed description of the following dataset: Grévy’s Zebra |
RHD | **Rendered Hand Pose (RHD)** is a dataset for hand pose estimation. It provides segmentation maps with 33 classes: three for each finger, palm, person, and background. The 3D kinematic model of the hand provides 21 keypoints per hand: 4 keypoints per finger and one keypoint close to the wrist. | Provide a detailed description of the following dataset: RHD |
TransNAS-Bench-101 | **TransNAS-Bench-101** is a Neural Architecture Search (NAS) benchmark dataset containing network performance across seven tasks, covering classification, regression, pixel-level prediction, and self-supervised tasks. This diversity provides opportunities to transfer NAS methods among tasks and allows for more complex ... | Provide a detailed description of the following dataset: TransNAS-Bench-101 |
EarthNet2021 | Satellite images are snapshots of the Earth surface. We propose to forecast them. We frame Earth surface forecasting as the task of predicting satellite imagery conditioned on future weather. EarthNet2021 is a large dataset suitable for training deep neural networks on the task. It contains Sentinel~2 satellite imagery... | Provide a detailed description of the following dataset: EarthNet2021 |
DaN+ | **DaN+** is a new multi-domain corpus and annotation guidelines for Danish nested named entities (NEs) and lexical normalization to support research on cross-lingual cross-domain learning for a less-resourced language. | Provide a detailed description of the following dataset: DaN+ |
BAM! | The **Behance Artistic Media** dataset (BAM!) is a large-scale dataset of contemporary artwork from Behance, a website containing millions of portfolios from professional and commercial artists. We annotate Behance imagery with rich attribute labels for content, emotions, and artistic media. We believe our Behance Arti... | Provide a detailed description of the following dataset: BAM! |
XGLUE | **XGLUE** is an evaluation benchmark XGLUE,which is composed of 11 tasks that span 19 languages. For each task, the training data is only available in English. This means that to succeed at XGLUE, a model must have a strong zero-shot cross-lingual transfer capability to learn from the English data of a specific task an... | Provide a detailed description of the following dataset: XGLUE |
CAMO++ | CAMO++ is a dataset for camouflaged object segmentation. This dataset increases the number of images with hierarchical pixel-wise ground-truths. The authors also provide a benchmark suite for the task of camouflaged instance segmentation. | Provide a detailed description of the following dataset: CAMO++ |
GLGE | **GLGE** is a general language generation evaluation benchmark which is composed of 8 language generation tasks, including Abstractive Text Summarization ([CNN/DailyMail](cnn-daily-mail-1), Gigaword, [XSUM](xsum), MSNews), Answer-aware Question Generation ([SQuAD 1.1](squad), MSQG), Conversational Question Answering ([... | Provide a detailed description of the following dataset: GLGE |
LandCover.ai | The LandCover.ai (**Land Cover** from **A**erial **I**magery) dataset is a dataset for automatic mapping of buildings, woodlands, water and roads from aerial images.
### Dataset features
* land cover from Poland, Central Europe
* three spectral bands - RGB
* 33 orthophotos with 25 cm per pixel resolution (~900... | Provide a detailed description of the following dataset: LandCover.ai |
CURE-OR | **CURE-OR** is a large-scale, controlled, and multi-platform object recognition dataset denoted as Challenging Unreal and Real Environments for Object Recognition. In this dataset, there are 1,000,000 images of 100 objects with varying size, color, and texture that are positioned in five different orientations and capt... | Provide a detailed description of the following dataset: CURE-OR |
USM-SED | **USM-SED** is a dataset for polyphonic sound event detection in urban sound monitoring use-cases. Based on isolated sounds taken from the [FSD50k](fsd50k) dataset, 20,000 polyphonic soundscapes are synthesized with sounds being randomly positioned in the stereo panorama using different loudness levels. | Provide a detailed description of the following dataset: USM-SED |
CEREC | **CEREC** is a large scale corpus for entity resolution in email conversations. The corpus consists of 6001 email threads from the Enron Email Corpus containing 36,448 email messages and 60,383 entity coreference chains. The annotation is carried out as a two-step process with minimal manual effort. | Provide a detailed description of the following dataset: CEREC |
GOO | **GOO** (Gaze-on-Objects) is a dataset for gaze object prediction, where the goal is to predict a bounding box for a person's gazed-at object. GOO is composed of a large set of synthetic images (GOO Synth) supplemented by a smaller subset of real images (GOO-Real) of people looking at objects in a retail environment. | Provide a detailed description of the following dataset: GOO |
SimJEB | Simulated Jet Engine Bracket Dataset (**SimJEB**) is a public collection of crowdsourced mechanical brackets and high-fidelity structural simulations designed specifically for surrogate modeling. SimJEB models are more complex, diverse, and realistic than the synthetically generated datasets commonly used in parametri... | Provide a detailed description of the following dataset: SimJEB |
POINTREC | POINTREC is a test collection for point of interest (POI) recommendation, comprising of (i) a set of information needs, (ii) a dataset of POIs, and (iii) graded relevance assessments for information need and POI pairs. | Provide a detailed description of the following dataset: POINTREC |
SkyCam | **SkyCam** dataset is a collection of sky images from a variety of locations with diverse topological characteristics (Swiss Jura, Plateau and Pre-Alps regions), from both single and stereo camera settings coupled with a high-accuracy pyranometers. The dataset was collected with a high frequency with a data sample ever... | Provide a detailed description of the following dataset: SkyCam |
CASIA-Face-Africa | **CASIA-Face-Africa** is a face image database which contains 38,546 images of 1,183 African subjects. Multi-spectral cameras are utilized to capture the face images under various illumination settings. Demographic attributes and facial expressions of the subjects are also carefully recorded. For landmark detection, ea... | Provide a detailed description of the following dataset: CASIA-Face-Africa |
Robotic Pushing | The **Robotic Pushing Dataset** is a dataset for video prediction for real-world interactive agents which consists of 59,000 robot interactions involving pushing motions, including a test set with novel objects. In this dataset, accurate prediction of videos conditioned on the robot's future actions amounts to learnin... | Provide a detailed description of the following dataset: Robotic Pushing |
ParaQA | ParaQA is a question answering (QA) dataset with multiple paraphrased responses for single-turn conversation over knowledge graphs (KG). The dataset was created using a semi-automated framework for generating diverse paraphrasing of the answers using techniques such as back-translation. The existing datasets for conver... | Provide a detailed description of the following dataset: ParaQA |
EDT | The EDT dataset is designed for corporate event detection and text-based stock prediction (trading strategy) benchmark.
1. Corporate Event Detection
It includes 9721 news articles with token-level event labels. Including 11 event types:
Acquisitions, Clinical Trials, Guidance Changes, New Contracts, Stock Repurch... | Provide a detailed description of the following dataset: EDT |
ARD-16 | We create ARD-16 (Ati Realworld Dataset), a
first of its kind real-world paired correspondence dataset, by applying our dataset generation method on 16-beam VLP-16 Puck LiDAR scans on a slow-moving Unmanned Ground Vehicle. We obtain ground truth poses by using fine resolution brute force scan matching, similar to Googl... | Provide a detailed description of the following dataset: ARD-16 |
CARLA-64 | We create 64-beam LiDAR dataset with settings similar to Velodyne VLP-64 LiDAR on the CARLA simulator. It contains no moving objects during static run and several moving objects (cars, 2-wheelers, pedestrians) during dynamic runs. It consists of 16 dynamic runs and 8 static runs. This gives about 32k LiDAR scan pairs f... | Provide a detailed description of the following dataset: CARLA-64 |
NEMO-Corpus | Named Entity (NER) annotations of the Hebrew Treebank (Haaretz newspaper) corpus, including: morpheme and token level NER labels, nested mentions, and more.
We publish the NEMO corpus in the TACL paper [*"Neural Modeling for Named Entities and Morphology (NEMO^2)"*](https://direct.mit.edu/tacl/article/doi/10.1162/ta... | Provide a detailed description of the following dataset: NEMO-Corpus |
Custom FINNgers | A dataset with 3200 images (200 for each number quantity on each hand). | Provide a detailed description of the following dataset: Custom FINNgers |
Sentinel 2 manually extracted deep water spectra with high noise levels and sunglint | This dataset includes 2.133.324 reflectance water spectra which were manually extracted by visual observation from 30 Sentinel 2 level 1C satellite images. The spectra were extracted from deep water areas with high noise levels and sunglint. The Sentinel 2 images depicted 2 tiles of the same orbit and were collected in... | Provide a detailed description of the following dataset: Sentinel 2 manually extracted deep water spectra with high noise levels and sunglint |
RAW-C | Relatedness judgments of ambiguous English words, in experimentally controlled sentential contexts. | Provide a detailed description of the following dataset: RAW-C |
TexRel | Green family of datasets for emergent communications on relations.
By comparison with other relations datasets, TexRel provides rapid training and experimentation, whilst being sufficiently large to avoid overfitting in the context of emergent communications. | Provide a detailed description of the following dataset: TexRel |
ShapeWorld | **ShapeWorld** is a new evaluation methodology and framework for multimodal deep learning models, with a focus on formal-semantic style generalization capabilities. In this framework, artificial data is automatically generated according to predefined specifications. This controlled data generation makes it possible to ... | Provide a detailed description of the following dataset: ShapeWorld |
VideoLT | **VideoLT** is a large-scale long-tailed video recognition dataset that contains 256,218 untrimmed videos, annotated into 1,004 classes with a long-tailed distribution. | Provide a detailed description of the following dataset: VideoLT |
CMWD | CMWD (Cloud Motion Wind Dataset) is the first cloud motion wind dataset for deep learning research. It contains 6388 adjacent grayscale image pairs for training and another 715 images pairs for testing. | Provide a detailed description of the following dataset: CMWD |
TCLD | TCLD (Typhoon Center Location Dataset) is a brand new typhoon center location dataset for deep learning research. It contains 1809 grayscale images for training and another 319 images for testing. | Provide a detailed description of the following dataset: TCLD |
SCMD2016 | SCMD dataset is a brand new cloudage nowcasting dataset for deep learning research. It contains 20000 grayscale image sequences for training and another 3500 image sequences for testing. You can get the SCMD2016 dataset at any time but only for scientific research. At the same time, please cite our work when you use th... | Provide a detailed description of the following dataset: SCMD2016 |
EviLOG | The dataset contains **synthetic training, validation and test data for occupancy grid mapping from lidar point clouds**. Additionally, **real-world lidar point clouds** from a test vehicle with the same lidar setup as the simulated lidar sensor is provided.
Point clouds are stored as PCD files and occupancy grid maps... | Provide a detailed description of the following dataset: EviLOG |
DEAP | The DEAP dataset consists of two parts:
- The ratings from an online self-assessment where 120 one-minute extracts of music videos were each rated by 14-16 volunteers based on arousal, valence and dominance.
- The participant ratings, physiological recordings and face video of an experiment where 32 volunteers watc... | Provide a detailed description of the following dataset: DEAP |
Viwiki-Spelling | We introduce a first Vietnamese Spelling Correction dataset containing manual labelling mistakes and corresponding correct words. | Provide a detailed description of the following dataset: Viwiki-Spelling |
RISEdb | The RISE (Robust Indoor Localization in Complex Scenarios) dataset is meant to train and evaluate visual indoor place recognizers.
It contains more than 1 million geo-referenced images spread over 30 sequences, covering 5 heterogeneous buildings.
For each building we provide:
- A high resolution 3D point cloud (1cm... | Provide a detailed description of the following dataset: RISEdb |
SynthDerm | SynthDerm is a synthetically generated dataset inspired by the real-world characteristics of melanoma skin lesions in dermatology settings. These characteristics include whether the lesion is asymmetrical, its border is irregular or jagged, is unevenly colored, has a diameter more than 0.25 inches, or is evolving in si... | Provide a detailed description of the following dataset: SynthDerm |
Paralex | Paralex learns from a collection of 18 million question-paraphrase pairs scraped from WikiAnswers. | Provide a detailed description of the following dataset: Paralex |
DiaKG | **DiaKG** is a high-quality Chinese dataset for Diabetes knowledge graph.
The dataset is derived from 41 diabetes guidelines and consensus, which are from authoritative Chinese journals including basic research, clinical research, drug usage, clinical cases, diagnosis and treatment methods, etc. The dataset covers t... | Provide a detailed description of the following dataset: DiaKG |
MAOMaps | MAOMaps is a dataset for evaluation of Visual SLAM, RGB-D SLAM and Map Merging algorithms. It contains 40 samples with RGB and depth images, and ground truth trajectories and maps. These 40 samples are joined into 20 pairs of overlapping maps for map merging methods evaluation. The samples were collected using [Matterp... | Provide a detailed description of the following dataset: MAOMaps |
CTSpine1K | **CTSpine1K** is a large-scale and comprehensive dataset for research in spinal image analysis. CTSpine1K is curated from the following four open sources, totalling 1,005 CT volumes (over 500,000 labeled slices and over 11,000 vertebrae) of diverse appearance variations.
* COLONOG. This is a subset of the CT COLONOG... | Provide a detailed description of the following dataset: CTSpine1K |
Cleft | The **Cleft** dataset is a collection of ultrasound tongue imaging and audio data, gathered from children with cleft lip and palate by a research speech and language therapist working in a hospital environment. | Provide a detailed description of the following dataset: Cleft |
GeoQA | **GeoQA** is a dataset for automatic geometric problem solving containing 5,010 geometric problems with corresponding annotated programs, which illustrate the solving process of the given problems
Compared with another publicly available dataset [GeoS](geos), GeoQA is 25 times larger, in which the program annotation... | Provide a detailed description of the following dataset: GeoQA |
GeoS | **GeoS** is a dataset for automatic math problem solving. It is a dataset of SAT plane geometry questions where every question has a textual description in English accompanied by a diagram and multiple choices. Questions and answers are compiled from previous official SAT exams and practice exams offered by the College... | Provide a detailed description of the following dataset: GeoS |
XL-BEL | **XL-BEL** is a benchmark for cross-lingual biomedical entity linking (XL-BEL). The benchmark spans 10 typologically diverse languages. | Provide a detailed description of the following dataset: XL-BEL |
CoDesc | **CoDesc** is a large dataset of 4.2m Java source code and parallel data of their description from code search, and code summarization studies. | Provide a detailed description of the following dataset: CoDesc |
D-OCC | **D-OCC** is a large-scale dataset of 5,617 dialogues to enable fine-grained evaluation and analysis of various dialogue systems. It is used to study common grounding in dynamic environments. | Provide a detailed description of the following dataset: D-OCC |
Neural Closure Models - Runs | The following are all the runs used to generate figures in the paper. Every experiment solves the corresponding high- and low-fidelity model to generate the training, validation, and prediction data. | Provide a detailed description of the following dataset: Neural Closure Models - Runs |
OTTers | **OTTers** is a dataset of human one-turn topic transitions. In this task, models must connect two topics in a cooperative and coherent manner, by generating a "bridging" utterance connecting the new topic tot he topic of the previous conversation turn. | Provide a detailed description of the following dataset: OTTers |
Instantiation Dataset | **Instantiation** is a dataset for the task of instantiation detection | Provide a detailed description of the following dataset: Instantiation Dataset |
LIGHT-Quests | **LIGHT-Quests** is an extension of LIGHT, a large-scale crowd-sourced fantasy text-game, to generate a dataset of quests. These contain natural language motivations paired with in-game goals and human demonstrations; completing a quest might require dialogue or actions (or both). | Provide a detailed description of the following dataset: LIGHT-Quests |
UW-IS | **UW-IS** (UW Indoor Scenes) is a dataset for object recognition in indoor environments comprising scene images from two different environments, namely, a living room and a mock warehouse. | Provide a detailed description of the following dataset: UW-IS |
MT40K | The **MT40K** dataset for predicting malware threat intelligence is a collection of 40,000 triples generated from 27,354 unique entities and 34 relations. The corpus consists of approximately 1,100 de-identified plain text threat reports written between 2006-2021 and all CVE vulnerability descriptions created between 1... | Provide a detailed description of the following dataset: MT40K |
MoleculeNet | **MoleculeNet** is a large scale benchmark for molecular machine learning. MoleculeNet curates multiple public datasets, establishes metrics for evaluation, and offers high quality open-source implementations of multiple previously proposed molecular featurization and learning algorithms (released as part of the DeepCh... | Provide a detailed description of the following dataset: MoleculeNet |
Data Collected with Package Delivery Quadcopter Drone | This experiment was performed in order to empirically measure the energy use of small, electric Unmanned Aerial Vehicles (UAVs). We autonomously direct a DJI ® Matrice 100 (M100) drone to take off, carry a range of payload weights on a triangular flight pattern, and land. Between flights, we varied specified parameters... | Provide a detailed description of the following dataset: Data Collected with Package Delivery Quadcopter Drone |
Tc1 Mouse cerebellum atlas | [](https://zenodo.org/badge/latestdoi/166476589)
This mouse cerebellar atlas can be used for mouse cerebellar morphometry.
We recommend to use [Multi Atlas Segmentation and Morphometric analysis toolkit (MASMAT) for mouse brain MRI](https://github.com/dancebean/multi... | Provide a detailed description of the following dataset: Tc1 Mouse cerebellum atlas |
Multi-template MRI mouse brain atlas | [](https://zenodo.org/badge/latestdoi/166476589)
Mouse Brain MRI atlas (both in-vivo and ex-vivo) (repository relocated from the [original webpage](http://cmic.cs.ucl.ac.uk/staff/da_ma/multi_atlas/))
## List of atlases
- [**FVB_NCrl**](https://github.com/dancebean/... | Provide a detailed description of the following dataset: Multi-template MRI mouse brain atlas |
ESD | **ESD** is an Emotional Speech Database for voice conversion research. The ESD database consists of 350 parallel utterances spoken by 10 native English and 10 native Chinese speakers and covers 5 emotion categories (neutral, happy, angry, sad and surprise). More than 29 hours of speech data were recorded in a controlle... | Provide a detailed description of the following dataset: ESD |
D3DFACS | The D3DFACS dataset is a dynamic 3D facial expression data set based on the Facial Action Coding System. It contains Action Unit (AU) sequences from 10 people, with 519 sequences in total. The peak image of each expression sequence has been manually FACS coded by a certified expert.
Registered meshes in FLAME mesh t... | Provide a detailed description of the following dataset: D3DFACS |
H01 | The **H01** dataset is a 1.4 petabyte rendering of a small sample of human brain tissue, released by a collaboration between the Lichtman Laboratory at Harvard University and Google. The H01 sample was imaged at 4nm-resolution by serial section electron microscopy, reconstructed and annotated by automated computational... | Provide a detailed description of the following dataset: H01 |
DialogSum | DialogSum is a large-scale dialogue summarization dataset, consisting of 13,460 dialogues with corresponding manually labeled summaries and topics.
This work is accepted by ACL findings 2021. You may find the paper here: <https://arxiv.org/pdf/2105.06762.pdf>.
If you want to use our dataset, please cite our paper... | Provide a detailed description of the following dataset: DialogSum |
Classic ECN AQM Fall-Back | Clickable heat-map visualizations of the experiments run to quantify the Classic ECN AQM problem and to evaluate the success of the Classic AQM Detection and Fall-back algorithm.
Clicking through gives access to whisker-plot summary results, more detailed clickable heat-maps and time-series plots of all the variable... | Provide a detailed description of the following dataset: Classic ECN AQM Fall-Back |
iMet Collection | A dataset for fine-grained art attribute recognition introduced in the 6th FGVC Workshop at CVPR 2019. It is a high-quality artwork image dataset with professional photographs of artworks from The Metropolitan Museum of Art and attribute labels curated or verified by experts. | Provide a detailed description of the following dataset: iMet Collection |
FED | The FED dataset is constructed by annotating a set of human-system and human-human conversations with eighteen fine-grained dialog qualities. | Provide a detailed description of the following dataset: FED |
Com2Sense | Complementary Commonsense (**Com2Sense**) is a dataset for benchmarking commonsense reasoning ability of NLP models. This dataset contains 4k statement true/false sentence pairs. The dataset is crowdsourced and enhanced with an adversarial model-in-the-loop setup to incentivize challenging samples. To facilitate a syst... | Provide a detailed description of the following dataset: Com2Sense |
Semi-iNat | Semi-iNat is a challenging dataset for semi-supervised classification with a long-tailed distribution of classes, fine-grained categories, and domain shifts between labeled and unlabeled data. The data is obtained from iNaturalist, a community driven project aimed at collecting observations of biodiversity.
The dat... | Provide a detailed description of the following dataset: Semi-iNat |
FacetSum | **FacetSum** is a faceted summarization dataset for scientific documents. FacetSum has been built on Emerald journal articles, covering a diverse range of domains. Different from traditional document-summary pairs, FacetSum provides multiple summaries, each targeted at specific sections of a long document, including th... | Provide a detailed description of the following dataset: FacetSum |
ClueWeb09 | The ClueWeb09 dataset was created to support research on information retrieval and related human language technologies. It consists of about 1 billion web pages in ten languages that were collected in January and February 2009. The dataset is used by several tracks of the TREC conference. | Provide a detailed description of the following dataset: ClueWeb09 |
TRECDD | The dataset used for TREC 2017 Dynamic Domain Track consists of two domains: Ebola and New York Times.
1.1 Ebola
The Ebola dataset is crawled by Juliana Friere (NYU, juliana dot freire at nyu dot edu), Kien Pham(NYU), Peter Landwehr (Giant Oak, peter dot landwehr at giantoak dot com) and Lewis McGibbney (JPL, Lew... | Provide a detailed description of the following dataset: TRECDD |
BugClassify | Dataset of 5,591 labeled issue tickets. Originally created by Herzig et al. in : "It’s Not a Bug, It’s a Feature: How Misclassification Impacts Bug Prediction" ([paper](https://www.microsoft.com/en-us/research/wp-content/uploads/2013/05/icse2013-bugclassify.pdf)) | Provide a detailed description of the following dataset: BugClassify |
OntoGUM | **OntoGUM** is an OntoNotes-like coreference dataset converted from GUM, an English corpus covering 12 genres using deterministic rules. | Provide a detailed description of the following dataset: OntoGUM |
ConvoSumm | **ConvoSumm** is a suite of four datasets to evaluate a model’s performance on a broad spectrum of conversation data. | Provide a detailed description of the following dataset: ConvoSumm |
EQA | The **EQA** (Embodied Question Answering) dataset is a dataset of visual questions and answers grounded in House3D. For this dataset an agent is spawned at a random location in a 3D environment and asked a question (for e.g. "What color is the car?"). In order to answer, the agent must first intelligently navigate to e... | Provide a detailed description of the following dataset: EQA |
Everybody Dance Now | **Everybody Dance Now** is a dataset of videos that can be used for training and motion transfer. It contains long single-dancer videos that can be used to train and evaluate the model. All subjects have consented to allowing the data to be used for research purposes. | Provide a detailed description of the following dataset: Everybody Dance Now |
PDE dataset | Contains data of parametric PDEs
- Burgers' equation
- Darcy's flow
- Navier-Stokes equation | Provide a detailed description of the following dataset: PDE dataset |
TaL Corpus | The Tongue and Lips (TaL) corpus is a multi-speaker corpus of ultrasound images of the tongue and video images of lips. This corpus contains synchronised imaging data of extraoral (lips) and intraoral (tongue) articulators from 82 native speakers of English.
The TaL corpus consists of two datasets:
* TaL1 is a si... | Provide a detailed description of the following dataset: TaL Corpus |
MRS | MRS, a multilingual reply suggestion dataset with ten languages. MRS can be used to compare two families of models: 1) retrieval models that select the reply from a fixed set and 2) generation models that produce the reply from scratch. Therefore, MRS complements existing cross-lingual generalization benchmarks that fo... | Provide a detailed description of the following dataset: MRS |
CCPM | **Introduction**
CCPM is a large Chinese classical poetry matching dataset that can be used for poetry matching, understanding and translation.
The main task of this dataset is: given a description in modern Chinese, the model is supposed to select one line of Chinese classical poetry from four candidates that se... | Provide a detailed description of the following dataset: CCPM |
The 'Call me sexist but' Dataset (CMSB) | Tweets and items from psychological scales for sexism detection with counterfactual examples.
This dataset consists of three types of 'short-text' content:
1. social media posts (tweets)
2. psychological survey items, and
3. synthetic adversarial modifications of the former two categories.
The tweet data can be furt... | Provide a detailed description of the following dataset: The 'Call me sexist but' Dataset (CMSB) |
Webly-Reference SR Dataset | Webly-Reference SR dataset is a test dataset for evaluating Ref-SR methods. It has the following advantages:
* Collected in a more realistic way: For every input image, its reference image is searched using Google Image.
* More diverse than previous datasets. | Provide a detailed description of the following dataset: Webly-Reference SR Dataset |
CPNet | CPNet dataset has a collection of 25 categories, 2,334 models based on ShapeNetCore, which includes 1,000+ correspondence sets with 104,861 points. | Provide a detailed description of the following dataset: CPNet |
MixATIS | Dataset is constructed from single intent dataset ATIS.
This is a publically available multi intent dataset, which can be downloaded from https://github.com/LooperXX/AGIF/data | Provide a detailed description of the following dataset: MixATIS |
FLORES-101 | The FLORES evaluation benchmark consists of 3001 sentences extracted from English Wikipedia and covering a variety of different topics and domains. These sentences have been translated in 101 languages by professional translators through a carefully controlled process. The resulting dataset enables better assessment of... | Provide a detailed description of the following dataset: FLORES-101 |
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