19,997 machine learning datasets
19,997 dataset results
DaNetQA is a question answering dataset for yes/no questions. These questions are naturally occurring ---they are generated in unprompted and unconstrained settings.
A Winograd schema is a pair of sentences that differ in only one or two words and that contain an ambiguity that is resolved in opposite ways in the two sentences and requires the use of world knowledge and reasoning for its resolution. The schema takes its name from a well-known example by Terry Winograd.
Textual Entailment Recognition has been proposed recently as a generic task that captures major semantic inference needs across many NLP applications, such as Question Answering, Information Retrieval, Information Extraction, and Text Summarization. This task requires to recognize, given two text fragments, whether the meaning of one text is entailed (can be inferred) from the other text.
Choice of Plausible Alternatives for Russian language (PARus) evaluation provides researchers with a tool for assessing progress in open-domain commonsense causal reasoning. Each question in PARus is composed of a premise and two alternatives, where the task is to select the alternative that more plausibly has a causal relation with the premise. The correct alternative is randomized so that the expected performance of randomly guessing is 50%.
Adopts two subsets of Freebase (Bollacker et al., 2008) as Knowledge Bases to construct the PathQuestion (PQ) and the PathQuestion-Large (PQL) datasets. Paths are extracted between two entities which span two hops (es → r1 → e1 → r2 → a, denoted by -2H) or three hops (es→ r1 → e1 →r2 → e2→ r3 → a, denoted by -3H) and then generated natural language questions with templates. To make the generated questions analogical to real-world questions, paraphrasing templates and synonyms for relations are included by searching the Internet and two real-world datasets, WebQuestions (Berant et al., 2013) and WikiAnswers (Fader et al., 2013). In this way, the syntactic structure and surface wording of the generated questions have been greatly enriched.
The 2021 Kidney and Kidney Tumor Segmentation challenge (abbreviated KiTS21) is a competition in which teams compete to develop the best system for automatic semantic segmentation of renal tumors and surrounding anatomy.
ChangeSim is a dataset aimed at online scene change detection (SCD) and more. The data is collected in photo-realistic simulation environments with the presence of environmental non-targeted variations, such as air turbidity and light condition changes, as well as targeted object changes in industrial indoor environments. By collecting data in simulations, multi-modal sensor data and precise ground truth labels are obtainable such as the RGB image, depth image, semantic segmentation, change segmentation, camera poses, and 3D reconstructions. While the previous online SCD datasets evaluate models given well-aligned image pairs, ChangeSim also provides raw unpaired sequences that present an opportunity to develop an online SCD model in an end-to-end manner, considering both pairing and detection. Experiments show that even the latest pair-based SCD models suffer from the bottleneck of the pairing process, and it gets worse when the environment contains the non-targeted variations.
SynPick is a synthetic dataset for dynamic scene understanding in bin-picking scenarios. In contrast to existing datasets, this dataset is both situated in a realistic industrial application domain -- inspired by the well-known Amazon Robotics Challenge (ARC) -- and features dynamic scenes with authentic picking actions as chosen by our picking heuristic developed for the ARC 2017. The dataset is compatible with the popular BOP dataset format.
BinKit is a binary code similarity analysis (BCSA) benchmark. BinKit provides scripts for building a cross-compiling environment, as well as the compiled dataset. The original dataset includes 1,352 distinct combinations of compiler options of 8 architectures, 5 optimization levels, and 13 compilers.
SNARE, short for ShapeNet Annotated with Referring Expressions, is a benchmark requires a model to choose which of two objects is being referenced by a natural language description.
Building footprints are useful for a range of important applications, from population estimation, urban planning and humanitarian response, to environmental and climate science. This large-scale open dataset contains the outlines of buildings derived from high-resolution satellite imagery in order to support these types of uses. The project being based in Ghana, the current focus is on the continent of Africa.
The Annotated Germs for Automated Recognition (AGAR) dataset is an image database of microbial colonies cultured on an agar plate. It contains 18000 photos of five different microorganisms, taken under diverse lighting conditions with two different cameras. All images are classified into countable, uncountable, and empty, with the former being labeled by microbiologists with colony location and 5 species identification (336 442 colonies).
WebFG-496 is a dataset for fine-grained recognition that contains 200 subcategories of the "Bird" (Web-bird), 100 subcategories of the Aircraft" (Web-aircraft), and 196 subcategories of the "Car" (Web-car). It has a total number of 53339 web training images.
PIDray is a large-scale dataset which covers various cases in real-world scenarios for prohibited item detection, especially for deliberately hidden items. The dataset contains 12 categories of prohibited items in 47, 677 X-ray images with high-quality annotated segmentation masks and bounding boxes.
Engine degradation simulation was carried out using C-MAPSS. Four different were sets simulated under different combinations of operational conditions and fault modes. Records several sensor channels to characterize fault evolution. The data set was provided by the Prognostics CoE at NASA Ames.
MAPS – standing for MIDI Aligned Piano Sounds – is a database of MIDI-annotated piano recordings. MAPS has been designed in order to be released in the music information retrieval research community, especially for the development and the evaluation of algorithms for single-pitch or multipitch estimation and automatic transcription of music. It is composed by isolated notes, random-pitch chords, usual musical chords and pieces of music. The database provides a large amount of sounds obtained in various recording conditions.
VIVOS is a free Vietnamese speech corpus consisting of 15 hours of recording speech prepared for Automatic Speech Recognition task.
Synthetic COCO (S-COCO) is a synthetically created dataset for homography estimation learning. It was introduced by DeTone et al., where the source and target images are generated by duplicating the same COCO image. The source patch $I_S$ is generated by randomly cropping a source candidate at position $p$ with a size of 128 ×128 pixels. Then the patch’s corners are randomly perturbed vertically and horizontally by values within the range [−$\rho$,$\rho$] and the four correspondences define a homography $H_{ST}$ . The inverse of this homography $H_{TS} = (H_{ST} )^{-1}$ is applied to the target candidate and from the resulted warped image a target patch $I_T$ is cropped at the same location p. Both $I_S$ and $I_T$ are the input data with the homography $H_{ST}$ as ground truth.
VoicePrivacy 2020 is a dataset for developing anonymization solutions for speech technology. It is built from subsets of existing datasets such as: LibriSpeech, LibriTTS, VoxCeleb1, VoxCeleb2 and VCTK.
TREK-150 is a benchmark dataset for object tracking in First Person Vision (FPV) videos composed of 150 densely annotated video sequences.