dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
High-Resolution Stereo Scans of 100 Sorghum Panicles | This dataset contains stereo images, depth data, camera position/orientation, and camera information for 100 sorghum panicles (the seed-bearing head of the sorghum stalk), as well as semantic segmentation labels for a subset of the data. The 100 sampled sorghum stalks are drawn from 10 different species, in groups of 1... | Provide a detailed description of the following dataset: High-Resolution Stereo Scans of 100 Sorghum Panicles |
MSU FR VQA Database | The dataset was created for video quality assessment problem. It was formed with 36 clips from Vimeo, which were selected from 18,000+ open-source clips with high bitrate (license CCBY or CC0).
The clips include videos recorded by both professionals and amateurs. Almost half of the videos contain scene changes and h... | Provide a detailed description of the following dataset: MSU FR VQA Database |
FHRMA dataset for FS detection | FHRMA is an open-source project for Fetal Heart Rate Morphological Analysis containing Matlab source code and datasets. As a sub-project, it includes a deep learning method and dataset for automatic identification of the maternal heart rate (MHR) and, more generally, false signals (FSs) on fetal heart rate (FHR) record... | Provide a detailed description of the following dataset: FHRMA dataset for FS detection |
Dataset for Post-OCR text correction in Sanskrit | This dataset contains around 218K sentences, with 1.5 million words, from 30 different books designed for Post-OCR text correction. | Provide a detailed description of the following dataset: Dataset for Post-OCR text correction in Sanskrit |
INDRA | INDRA is a dataset capturing videos of Indian roads from the pedestrian point-of-view. INDRA contains 104 videos comprising of 26k 1080p frames, each annotated with a binary road crossing safety label and vehicle bounding boxes. | Provide a detailed description of the following dataset: INDRA |
FIB | Factual Inconsistency Benchmark (**FIB**) is a benchmark that focuses on the task of summarization. Specifically, the benchmark involves comparing the scores an LLM assigns to a factually consistent versus a factual inconsistent summary for an input news article. For factually consistent summaries, human-written refere... | Provide a detailed description of the following dataset: FIB |
MM-Locate-News | **MM-Locate-News** is a dataset for location estimation of news. It consists of 6395 news articles covering 237 cities and 152 countries across all continents as well as multiple domains such as health, environment, and politics. The dataset is collected in a weakly-supervised manner, and multiple data cleaning steps a... | Provide a detailed description of the following dataset: MM-Locate-News |
Nlakh | **Nlakh** is a dataset for Musical Instrument Retrieval. It is a combination of the NSynth dataset, which provides a large number of instruments, and the Lakh dataset, which provides multi-track MIDI data. | Provide a detailed description of the following dataset: Nlakh |
EmoPars | **EmoPars** is a dataset of 30,000 Persian Tweets labeled with Ekman’s six basic emotions (Anger, Fear, Happiness, Sadness, Hatred, and Wonder). This is the first publicly available emotion dataset in the Persian language. | Provide a detailed description of the following dataset: EmoPars |
ArmanEmo | **ArmanEmo** is a human-labeled emotion dataset of more than 7000 Persian sentences labeled for seven categories. The dataset has been collected from different resources, including Twitter, Instagram, and Digikala (an Iranian e-commerce company) comments. Labels are based on Ekman's six basic emotions (Anger, Fear, Hap... | Provide a detailed description of the following dataset: ArmanEmo |
YM2413-MDB | **YM2413-MDB** is an 80s FM video game music dataset with multi-label emotion annotations. It includes 669 audio and MIDI files of music from Sega and MSX PC games in the 80s using YM2413, a programmable sound generator based on FM. The collected game music is arranged with a subset of 15 monophonic instruments and one... | Provide a detailed description of the following dataset: YM2413-MDB |
SSL4EO-S12 | **SSL4EO-S12** is a large-scale, global, multimodal, and multi-seasonal corpus of satellite imagery from the ESA Sentinel-1 & -2 satellite missions. | Provide a detailed description of the following dataset: SSL4EO-S12 |
PaintNet | **PaintNet** is a dataset for learning robotic spray painting of free-form 3D objects. PaintNet includes more than 800 object meshes and the associated painting strokes collected in a real industrial setting. | Provide a detailed description of the following dataset: PaintNet |
Open Images V7 | Open Images is a computer vision dataset covering ~9 million images with labels spanning thousands of object categories. A subset of 1.9M includes diverse annotations types.
- 15,851,536 boxes on 600 classes
- 2,785,498 instance segmentations on 350 classes
- 3,284,280 relationship annotations on 1,466 relationshi... | Provide a detailed description of the following dataset: Open Images V7 |
ec-darkpattern | **ec-darkpattern** is a dataset for dark pattern detection and prepared its baseline detection performance with state-of-the-art machine learning methods. The original dataset was obtained from Mathur et al.’s study in 2019 [11kScale], which consists of 1,818 dark pattern texts from shopping sites. Negative samples, i.... | Provide a detailed description of the following dataset: ec-darkpattern |
IGLU | IGLU is a dataset designed for interactive grounded language understanding. It has a total of 8,136 single-turn data pairs of instructions and actions. Every single sample is randomly initialized with a pre-built structure from previously collected multi-turn interactions data. | Provide a detailed description of the following dataset: IGLU |
kaggle stroke Prediction competition | It is a competition on kaggle with stroke Prediction, which is heavily imbalanced. | Provide a detailed description of the following dataset: kaggle stroke Prediction competition |
Flare7K | Flare7K, the first nighttime flare removal dataset, which is generated based on the observation and statistic of real-world nighttime lens flares. It offers 5,000 scattering flare images and 2,000 reflective flare images, consisting of 25 types of scattering flares and 10 types of reflective flares. The 7,000 flare pat... | Provide a detailed description of the following dataset: Flare7K |
NLPeer | **NLPeer** is a multidomain corpus of more than 5k papers and 11k review reports from five different venues. In addition to the new datasets of paper drafts, camera-ready versions and peer reviews from the NLP community, this dataset has a unified data representation, and augment previous peer review datasets to includ... | Provide a detailed description of the following dataset: NLPeer |
CSCD-IME | Chinese Spelling Correction Dataset for errors generated by pinyin IME (CSCD-IME), a dataset containing 40,000 annotated sentences from real posts of official media on Sina Weibo. It is designed to detect and correct spelling mistakes in Chinese texts. | Provide a detailed description of the following dataset: CSCD-IME |
Virtuoso Strings | **Virtuoso Strings** is a dataset for soft onsets detection for string instruments. It consists of over 144 recordings of professional performances of an excerpt from Haydn's string quartet Op. 74 No. 1 Finale, each with corresponding individual instrumental onset annotations. | Provide a detailed description of the following dataset: Virtuoso Strings |
Cinescale | We provide a database containing shot scale annotations (i.e., the apparent distance of the camera from the subject of a filmed scene) for more than 792,000 image frames. Frames belong to 124 full movies from the entire filmographies by 6 important directors: Martin Scorsese, Jean-Luc Godard, Béla Tarr, Federico Fellin... | Provide a detailed description of the following dataset: Cinescale |
BANKEX | Contains stock market closing prices of ten financial institutions. Closing Price in Indian Rupee (INR). Daily samples retrieved between 12 July 2005 and 3 November 2017. All time series with 3 032 samples. | Provide a detailed description of the following dataset: BANKEX |
CIPM evaluation data | The main goal of the Continuous Integration of Performance Models (CIPM) is to enable an accurate architecture-based performance prediction at each point of the systems development life cycle. For this goal, the CIPM approach continuously updates the architecture-level performance models of a software system according ... | Provide a detailed description of the following dataset: CIPM evaluation data |
Activities | Contains ten synthetic time series with five days of high activity and two days of low activity. Each series has 3584 samples. | Provide a detailed description of the following dataset: Activities |
Comet | **Comet** is a dataset which contains 11.5k user-assistant dialogs (totalling 103k utterances), grounded in simulated personal memory graphs. | Provide a detailed description of the following dataset: Comet |
GF-PA66 3D XCT (latest) | Stack of 2D gray images of glass fiber-reinforced polyamide 66 (GF-PA66) 3D X-ray Computed Tomography (XCT) specimen.
Usage: 2D/3D image segmentation
Format: HDF5
Libraries to read HDF5 files:
1) silx: [https://github.com/silx-kit/silx](https://github.com/silx-kit/silx)
2) h5py: [https://www.h5py.org](http... | Provide a detailed description of the following dataset: GF-PA66 3D XCT (latest) |
IEEE CIS Fraud Detection | The Vesta dataset was released for use in the IEEE CIS Fraud Detection competition. It contains 590,540 card transactions, 20,663 of which are fraudulent (3.5%). Each
transaction has 431 features (400 numerical, 31 categorical), along with the relative
timestamp and a label of whether it was fraudulent or legitimate.... | Provide a detailed description of the following dataset: IEEE CIS Fraud Detection |
Tamil Memes | Social media are interactive platforms that facilitate the creation or sharing of information, ideas or other forms of expression among people. This exchange is not free from offensive, trolling or malicious contents targeting users or communities. One way of trolling is by making memes, which in most cases combines an... | Provide a detailed description of the following dataset: Tamil Memes |
Padding Ain't Enough: Assessing the Privacy Guarantees of Encrypted DNS – Web Scans | This dataset contains the main data set of our FOCI 2020 paper "Padding Ain’t Enough: Assessing the Privacy Guarantees of Encrypted DNS".
https://www.usenix.org/conference/foci20/presentation/bushart
You can find the source code for this project on GitHub: https://github.com/jonasbb/padding-aint-enough
When us... | Provide a detailed description of the following dataset: Padding Ain't Enough: Assessing the Privacy Guarantees of Encrypted DNS – Web Scans |
Padding Ain't Enough: Assessing the Privacy Guarantees of Encrypted DNS – Subpage-Agnostic Domain Classification Firefox | This dataset contains one part for the "Subpage-Agnostic Domain Classification" section of our FOCI 2020 paper "Padding Ain’t Enough: Assessing the Privacy Guarantees of Encrypted DNS".
https://www.usenix.org/conference/foci20/presentation/bushart
You can find the source code for this project on GitHub: https://g... | Provide a detailed description of the following dataset: Padding Ain't Enough: Assessing the Privacy Guarantees of Encrypted DNS – Subpage-Agnostic Domain Classification Firefox |
Padding Ain't Enough: Assessing the Privacy Guarantees of Encrypted DNS – Subpage-Agnostic Domain Classification Tor Browser | This dataset contains the second part of the "Subpage-Agnostic Domain Classification" section of our FOCI 2020 paper "Padding Ain’t Enough: Assessing the Privacy Guarantees of Encrypted DNS".
https://www.usenix.org/conference/foci20/presentation/bushart
You can find the source code for this project on GitHub: htt... | Provide a detailed description of the following dataset: Padding Ain't Enough: Assessing the Privacy Guarantees of Encrypted DNS – Subpage-Agnostic Domain Classification Tor Browser |
ComMU | ComMU has 11,144 MIDI samples that consist of short note sequences created by professional composers with their corresponding 12 metadata. This dataset is designed for a new task, combinatorial music generation which generate diverse and high-quality music only with metadata through auto-regressive language model. | Provide a detailed description of the following dataset: ComMU |
Datasets for automatic acoustic identification of insects (Orthoptera and Cicadidae) | This dataset contains recordings of 32 sound producing insect species with a total 335 files and a length of 57 minutes. The dataset was compiled for training neural networks to automatically identify insect species while comparing adaptive, waveform-based frontends to conventional mel-spectrogram frontends for audio f... | Provide a detailed description of the following dataset: Datasets for automatic acoustic identification of insects (Orthoptera and Cicadidae) |
FDH | The Flickr Diverse Humans (FDH) dataset consists of 1.53M images of human figures from the YFCC100M dataset. Each image is annotated with keypoints, pixel-to-vertex correspondences (from CSE ) and a segmentation mask. | Provide a detailed description of the following dataset: FDH |
SummZoo | **SummZoo**, a benchmark consists of 8 diverse summarization tasks with multiple sets of few-shot samples for each task, covering both monologue and dialogue domains. | Provide a detailed description of the following dataset: SummZoo |
IRIS Multiple Instance Learning Dataset | This dataset contains the data for the paper 'Using Multiple Instance Learning for Explainable Solar Flare Prediction'.
It consists of 10'000 spectrographs (bags) recorded by NASA's IRIS satellite with associated class labels AR (non-flaring active region) and PF (pre-flare active region). Each spectrograph consists... | Provide a detailed description of the following dataset: IRIS Multiple Instance Learning Dataset |
DyML-Vehicle | DyML-Vehicle merges two vehicle re-ID datasets PKU VehicleID [1], VERI-Wild [1]. Since these two datasets have only annotations on the identity (fine) level, we manually annotate each image with “model” label (e.g., Toyota Camry, Honda Accord, Audi A4) and “body type” label (e.g., car, suv, microbus, pickup). Moreover,... | Provide a detailed description of the following dataset: DyML-Vehicle |
IDK-MRC | **IDK-MRC** is an Indonesian Machine Reading Comprehension (MRC) dataset consists of more than 10K questions in total with over 5K unanswerable questions with diverse question types. | Provide a detailed description of the following dataset: IDK-MRC |
DyML-Animal | DyML-Animal is based on animal images selected from ImageNet-5K [1]. It has 5 semantic scales (i.e., classes, order, family, genus, species) according to biological taxonomy. Specifically, there are 611 “species” for the fine level, 47 categories corresponding to “order”, “family” or “genus” for the middle level, and 5... | Provide a detailed description of the following dataset: DyML-Animal |
DyML-Product | DyML-Product is derived from iMaterialist-2019, a hierarchical online product dataset. The original iMaterialist-2019 offers up to 4 levels of hierarchical annotations. We remove the coarsest level and maintain 3 levels for DyML-Product.
https://github.com/MalongTech/imaterialist-product-2019 | Provide a detailed description of the following dataset: DyML-Product |
aiMotive Dataset | aiMotive dataset is a multimodal dataset for robust autonomous driving with long-range perception. The dataset consists of 176 scenes with synchronized and calibrated LiDAR, camera, and radar sensors covering a 360-degree field of view. The collected data was captured in highway, urban, and suburban areas during daytim... | Provide a detailed description of the following dataset: aiMotive Dataset |
RoMQA | **RoMQA** is a benchmark for robust, multi-evidence, and multi-answer question answering (QA). RoMQA contains clusters of questions that are derived from related constraints mined from the Wikidata knowledge graph. The dataset evaluates robustness of QA models to varying constraints by measuring worst-case performance ... | Provide a detailed description of the following dataset: RoMQA |
CCSE | **Chinese Character Stroke Extraction (CCSE)** is a benchmark containing two large-scale datasets: Kaiti CCSE (CCSE-Kai) and Handwritten CCSE (CCSE-HW). It is designed for stroke extraction problems. | Provide a detailed description of the following dataset: CCSE |
Kor-Learner | **Kor-Learner** is a Korean grammatical error correction (GEC) dataset made from the NIKL learner corpus containing essays written by Korean learners and their grammatical error correction annotations by their tutors in an morpheme-level XML file format. It contains more than 28K sentence pairs. | Provide a detailed description of the following dataset: Kor-Learner |
Kor-Native | **Kor-Learner** is a Korean grammatical error correction (GEC) dataset collected grammatically from two sources, and the correct sentences were read using Google Text-to-Speech(TTS) system. The general public was tasked with dictating grammatically correct sentences and transcribe them. It contains more than 17K senten... | Provide a detailed description of the following dataset: Kor-Native |
Kor-Lang8 | **Kor-Lang8** is a Korean grammatical error correction (GEC) dataset extracted from the NAIST Lang-8 Learner Corpora by the language label. It contains more than 109K sentence pairs. | Provide a detailed description of the following dataset: Kor-Lang8 |
pmuBAGE | **pmuBAGE** (the Benchmarking Assortment of Generated PMU Events) is a dataset that consists of almost 1000 instances of labeled event data to encourage benchmark evaluations on phasor measurement unit (PMU) data analytics. PMU data are challenging to obtain, especially those covering event periods. Nevertheless, power... | Provide a detailed description of the following dataset: pmuBAGE |
Vident-lab | **Vident-lab** is a dataset of dental videos with multi-task labels to facilitate further research in relevant video processing applications. The dataset constitutes a low-quality frame, its high-quality counterpart, a teeth segmentation mask, and an inter-frame homography matrix. The homography warps the current frame... | Provide a detailed description of the following dataset: Vident-lab |
Demetr | **Demetr** is a diagnostic dataset with 31K English examples (translated from 10 source languages) for evaluating the sensitivity of MT evaluation metrics to 35 different linguistic perturbations spanning semantic, syntactic, and morphological error categories. | Provide a detailed description of the following dataset: Demetr |
EUR-Lex-Sum | **EUR-Lex-Sum** is a dataset for cross-lingual summarization. It is based on manually curated document summaries of legal acts from the European Union law platform. Documents and their respective summaries exist as crosslingual paragraph-aligned data in several of the 24 official European languages, enabling access to ... | Provide a detailed description of the following dataset: EUR-Lex-Sum |
ExPUNations | **ExPUNations** is a humor dataset with such extensive and fine-grained annotations specifically for puns. This dataset is designed for two new tasks namely, explanation generation to aid with pun classification and keyword-conditioned pun generation | Provide a detailed description of the following dataset: ExPUNations |
POPGym | POPGym is designed to benchmark memory in deep reinforcement learning. It contains a set of *environments* and a collection of *memory model baselines*. The environments are all Partially Observable Markov Decision Process (POMDP) environments following the [Openai Gym](https://github.com/openai/gym) interface. Our env... | Provide a detailed description of the following dataset: POPGym |
Haydn Annotation Dataset | The Haydn Annotation Dataset consists of note onset annotations from 24 experiment participants with varying musical experience. The annotation experiments use recordings from the ARME Virtuoso Strings Dataset. | Provide a detailed description of the following dataset: Haydn Annotation Dataset |
UJ-CS/Math/Phy | Definitions of jargon/terms in computer science, mathematics, and physics | Provide a detailed description of the following dataset: UJ-CS/Math/Phy |
APIDIS | # Data
Approximatively 2 hours of videos were captured from 7 viewpoints during a professional basketball game.
**Raw data**
The cameras were recording at almost 22 fps in average, with a resolution of 1600x1200 pixels. The video files are available in their native format, i.e. one motion jpeg file (~300 MB) p... | Provide a detailed description of the following dataset: APIDIS |
modified_shemo | A modification on the ShEMO dataset with help of an Automatic Speech Recognition (ASR) system.
the ShEMO dataset contains 3000 audio files along with 3000 text files for each sentence as a ground-truth transcription. The text file of the sentence related to the corresponding audio file can be found through the names... | Provide a detailed description of the following dataset: modified_shemo |
PKG sample | A random sample from Pubmed Knowledge Graph. | Provide a detailed description of the following dataset: PKG sample |
Brain Tumor Dataset | This brain tumor dataset contains 3064 T1-weighted contrast-enhanced images with three kinds of brain tumor.
Detailed information on the dataset can be found in the readme file. | Provide a detailed description of the following dataset: Brain Tumor Dataset |
SeaTurtleID | **SeaTurtleID** is a public large-scale, long-span dataset with sea turtle photographs captured in the wild. The dataset is suitable for benchmarking re-identification methods and evaluating several other computer vision tasks. It consists of 7774 high-resolution photographs of 400 unique individuals collected within 1... | Provide a detailed description of the following dataset: SeaTurtleID |
LVOS | **LVOS** is a dataset for long-term video object segmentation (VOS). It consists of 220 videos with a total duration of 421 minutes. The videos in our LVOS last 1.59 minutes on average, which is 20 times longer than videos in existing VOS datasets. Each video includes various attributes, especially challenges deriving ... | Provide a detailed description of the following dataset: LVOS |
Brazilian Protest | **Brazilian Protest** is a dataset for event filtering that focuses on protests in multi-modal social media data, with most of the text in Portuguese. The dataset contains 4.5 million tweets, of which 155 thousand are associated with an URL to an uncurated article and 370 thousand have an associated media content (incl... | Provide a detailed description of the following dataset: Brazilian Protest |
Foot3D | A dataset of high resolution, textured scans of articulated left feet, useful for 3D shape representation learning. | Provide a detailed description of the following dataset: Foot3D |
KITTI-6DoF | **KITTI-6DoF** is a dataset that contains annotations for the 6DoF estimation task for 5 object categories on 7,481 frames. | Provide a detailed description of the following dataset: KITTI-6DoF |
STIR | While convolutions are known to be invariant to (discrete) translations, scaling continues to be a challenge and most image recognition networks are not invariant to them. To explore these effects, we have created the Scaled and Translated Image Recognition (STIR) dataset. This dataset contains objects of size $s \in \... | Provide a detailed description of the following dataset: STIR |
Lyra Dataset | **Lyra** is a dataset of 1570 traditional and folk Greek music pieces that includes audio and video (timestamps and links to YouTube videos), along with annotations that describe aspects of particular interest for this dataset, including instrumentation, geographic information and labels of genre and subgenre, among ot... | Provide a detailed description of the following dataset: Lyra Dataset |
KITTI360-EX | **KITTI360-EX** is a dataset for outer- and inner FoV expansion. It contains 76k pinhole images as well as 76k spherical images and is used for beyond-FoV estimation. | Provide a detailed description of the following dataset: KITTI360-EX |
MOET | **MOET** a dataset consists of gaze data from participants tracking specific objects, annotated with labels and bounding boxes, in crowded real-world videos, for training and evaluating attention decoding algorithms. | Provide a detailed description of the following dataset: MOET |
CORSMAL | **CORSMAL** is a dataset for estimating the position and orientation in 3D (or 6D pose) of an object from a single view. The dataset consists of 138,240 images of rendered hands and forearms holding 48 synthetic objects, split into 3 grasp categories over 30 real backgrounds. | Provide a detailed description of the following dataset: CORSMAL |
The QUAERO French Medical Corpus | A vast amount of information in the biomedical domain is available as natural language free text. An increasing number of documents in the field are written in languages other than English. Therefore, it is essential to develop resources, methods and tools that address Natural Language Processing in the variety of lang... | Provide a detailed description of the following dataset: The QUAERO French Medical Corpus |
HyperRED | HyperRED is a dataset for the new task of hyper-relational extraction, which extracts relation triplets together with qualifier information such as time, quantity or location. For example, the relation triplet (Leonard Parker, Educated At, Harvard University) can be factually enriched by including the qualifier (End Ti... | Provide a detailed description of the following dataset: HyperRED |
SemEval-2018 Task 1 | POST-COMPETITION: The official competition is now over, but you are welcome to develop and test new solutions on this website. All data with gold labels (training, developing, and test) are available here. The test data in this archive do not include the instances from the Equity Evaluation Corpus (EEC) used for bias e... | Provide a detailed description of the following dataset: SemEval-2018 Task 1 |
LEAFTOP | Nouns extracted automatically from Bible translations across 1580 languages. | Provide a detailed description of the following dataset: LEAFTOP |
SAF | This dataset can be found on HuggingFace:
https://huggingface.co/datasets/Short-Answer-Feedback/saf_communication_networks_english
https://huggingface.co/datasets/Short-Answer-Feedback/saf_micro_job_german | Provide a detailed description of the following dataset: SAF |
SYNS-Patches | **SYNS-Patches** dataset, which is a subset of SYNS. The original SYNS is composed of aligned image and LiDAR panoramas from 92 different scenes belonging to a wide variety of environments, such as Agriculture, Natural (e.g. forests and fields), Residential, Industrial and Indoor. It represents the subset of patches fr... | Provide a detailed description of the following dataset: SYNS-Patches |
PromptSpeech | **PromptSpeech** is a dataset that consists of speech and the corresponding prompts. We synthesize speech with 5 different style factors (gender, pitch, speaking speed, volume, and emotion) from a commercial TTS API. The emotion factor has 5 categories and the gender factor has 2 categories. | Provide a detailed description of the following dataset: PromptSpeech |
CVGL | **CVGL Camera Calibration Dataset** consists of 49 camera configurations with town 1 having 25 configurations while town 2 having 24 configurations. The parameters modified for generating the configurations include fov, x, y, z, pitch, yaw, and roll. Here, fov is the field of view, (x, y, z) is the translation while (p... | Provide a detailed description of the following dataset: CVGL |
NCTE Transcripts | **NCTE Transcripts** consists of 1,660 45-60 minute long 4th and 5th grade elementary mathematics observations collected by the National Center for Teacher Effectiveness (NCTE) between 2010-2013. The anonymized transcripts represent data from 317 teachers across 4 school districts that serve largely historically margin... | Provide a detailed description of the following dataset: NCTE Transcripts |
ReplicaGrasp | **ReplicaGrasp** dataset is created by spawning objects from GRAB into the ReplicaCAD scenes, simulated in random positions and orientations using the Habitat simulator. We capture 4,800 instances, with 50 different objects spawned in one of 48 receptacles in both, upright and randomly fallen orientations. | Provide a detailed description of the following dataset: ReplicaGrasp |
DS-1000 | **DS-1000** is a code generation benchmark with a thousand data science questions spanning seven Python libraries that (1) reflects diverse, realistic, and practical use cases, (2) has a reliable metric, (3) defends against memorization by perturbing questions. | Provide a detailed description of the following dataset: DS-1000 |
ESB | **ESB** is a benchmark for evaluating the performance of a single automatic speech recognition (ASR) system across a broad set of speech datasets. It comprises eight English speech recognition datasets, capturing a broad range of domains, acoustic conditions, speaker styles, and transcription requirements. | Provide a detailed description of the following dataset: ESB |
Spiced | **Spiced** is a paraphrase dataset of scientific findings annotated for degree of information change. Spiced contains 6,000 scientific finding pairs extracted from news stories, social media discussions, and full texts of original papers. | Provide a detailed description of the following dataset: Spiced |
MO7 Dataset | MO7 dataset consists of 50,000 images with over 900 unique objects and over 18 classes. The dataset was collected in Missouri, Kansas, and Washington, 3 states known for their rural environment and challenging rural road conditions. The data consists of over 400 miles recorded in the 3 states combined .
Our objective... | Provide a detailed description of the following dataset: MO7 Dataset |
SuperMat | A growing number of papers are published in the area of superconducting materials science. However, novel text and data mining (TDM) processes are still needed to efficiently access and exploit this accumulated knowledge, paving the way towards data-driven materials design. Herein, we present SuperMat (Superconductor M... | Provide a detailed description of the following dataset: SuperMat |
IMaSC | IMaSC is a Malayalam text and speech corpus made available by ICFOSS for the purpose of developing speech technology for Malayalam, particularly text-to-speech. The corpus contains 34,473 text-audio pairs of Malayalam sentences spoken by 8 speakers, totalling in approximately 50 hours of audio. | Provide a detailed description of the following dataset: IMaSC |
PPMR Dataset | This dataset contains 23 patients in total. Within each patients MRI, not all images show evidence of PMG and some
slices are normal. Although the ratio between controls and patients is 3:1, the ratio between normal slices and anomaly
slices is around 5:1. Each patient’s brain includes around 150 scans on average. | Provide a detailed description of the following dataset: PPMR Dataset |
ODDS | Outliers or anomalies are instances that do not conform to the norm of a dataset. Outlier detection is an important data mining problem that has been researched within diverse research areas and applications domains such as intrusion detection, fraud detection, unusual event detection, disease condition detection etc.
... | Provide a detailed description of the following dataset: ODDS |
N-ImageNet | The N-ImageNet dataset is an event-camera counterpart for the ImageNet dataset. The dataset is obtained by moving an event camera around a monitor displaying images from ImageNet. N-ImageNet contains approximately 1,300k training samples and 50k validation samples. In addition, the dataset also contains variants of the... | Provide a detailed description of the following dataset: N-ImageNet |
ProNCI | **ProNCI** consists of 22.5K proper noun compounds along with their free-form semantic interpretations. ProNCI is 60 times larger than prior noun compound datasets and also includes non-compositional examples. | Provide a detailed description of the following dataset: ProNCI |
CUP | **CUP** (Context-sitUated Pun) is a dataset containing 4.5k tuples of context words and pun pairs, each labelled with whether they are compatible for composing a pun. | Provide a detailed description of the following dataset: CUP |
Greek Parliament Proceedings | **Greek Parliament Proceedings** is a curated dataset of the Greek Parliament Proceedings that extends chronologically from 1989 up to 2020. It consists of more than 1 million speeches with extensive metadata, extracted from 5,355 parliamentary record files. | Provide a detailed description of the following dataset: Greek Parliament Proceedings |
McQueen | **McQueen** dataset contains 15k visual conversations and over 80k queries where each one is associated with a fully-specified rewrite version. In addition, for entities appearing in the rewrite, the corresponding image box annotation is provided. | Provide a detailed description of the following dataset: McQueen |
RuCoLA | The **Russian Corpus of Linguistic Acceptability (RuCoLA)** is built from the ground up under the well-established binary LA approach. RuCoLA consists of 9.8k in-domain sentences from linguistic publications and 3.6k out-of-domain sentence produced by generative models. | Provide a detailed description of the following dataset: RuCoLA |
ComFact | ComFact is a benchmark for commonsense fact linking, where models are given contexts and trained to identify situationally-relevant commonsense knowledge from KGs. The novel benchmark, C-om-Fact, contains ∼293k in-context relevance annotations for common-sense triplets across four stylistically diverse dialogue and sto... | Provide a detailed description of the following dataset: ComFact |
CoreSearch | **CoreSearch** is a dataset for Cross-Document Event Coreference Search. It consists of two separate passage collections: (1) a collection of passages containing manually annotated coreferring event mention, and (2) an annotated collection of destructor passages. | Provide a detailed description of the following dataset: CoreSearch |
DIOR-RSVG | **DIOR-RSVG** is a large-scale benchmark dataset of remote sensing data (RSVG). It aims to localize the referred objects in remote sensing (RS) images with the guidance of natural language. This new dataset includes image/expression/box triplets for training and evaluating visual grounding models. | Provide a detailed description of the following dataset: DIOR-RSVG |
VD-Ref | **VD-Ref** is a dataset with ground-truth mappings from both noun phrases and pronouns to image regions. This dataset contains a set of 10k complete sets from the VisDialog dataset, and uses the StanfordCoreNLP tool to tokenize the sentences, making it proper for the succeeding human annotation. | Provide a detailed description of the following dataset: VD-Ref |
K-MHaS: Korean Multi-label Hate Speech Dataset | Korean Multi-label Hate Speech Dataset
We introduce K-MHaS, a new multi-label dataset for hate speech detection that effectively handles Korean language patterns.
* consisting of 109,692 utterances from Korean online news comments, labeled with 8 fine-grained hate speech classes.
* data collection period: betwee... | Provide a detailed description of the following dataset: K-MHaS: Korean Multi-label Hate Speech Dataset |
LTCC | LTCC contains 17,119 person images of 152 identities, and each identity is captured by at least two cameras. The dataset can be divided into two subsets: one cloth-change set where 91 persons appear with 416 different sets of outfits in 14,783 images, and one cloth-consistent subset containing the remaining 61 identit... | Provide a detailed description of the following dataset: LTCC |
PRCC | This dataset consists of 33698 images from 221 identities. Each person in Cameras A and B is wearing the same clothes, but the images are captured in different rooms. For Camera C, the person wears different clothes, and the images are captured in a different day. | Provide a detailed description of the following dataset: PRCC |
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