19,997 machine learning datasets
19,997 dataset results
The OTTO session dataset is a large-scale dataset intended for multi-objective recommendation research. We collected the data from anonymized behavior logs of the OTTO webshop and the app. The mission of this dataset is to serve as a benchmark for session-based recommendations and foster research in the multi-objective and session-based recommender systems area. We also launched a Kaggle competition with the goal to predict clicks, cart additions, and orders based on previous events in a user session.
Different types of cells play a vital role in the initiation, development, invasion, metastasis and therapeutic response of tumors of various organs. For example, (1) most carcinomas originate from epithelial cells, (2) spatial arrangement of tumor infiltrating Lymphocytes (TILs) is associated with clinical outcome in several cancers, including the ones of breast, prostate, and lung (Fridman et. al., Nature Reviews Cancer, 2012), and (3) tumor associated macrophages (TAMs) influence diverse processes such as angiogenesis, neoplastic cell mitogenesis, antigen presentation, matrix degradation, and cytotoxicity in various tumors (Ruffel and Coussens, Cancer Cell, 2015). Thus, accurate identification and segmentation of nuclei of multiple cell-types is important for AI enabled characterization of tumor and its microenvironment.
A multi-physics dataset of boiling processes. This repository includes downloads, visualizations, and sample applications. This dataset can be used to train operator networks for phase-change phenomena, act as a ground truth for Physics-Informed Neural Networks, or train computer vision models.
DEplain-APA-doc: A German Parallel Corpus for Document Simplification on News Texts DEplain is a new dataset of parallel, professionally written and manually aligned simplifications in plain German “plain DE” (or in German: “Einfache Sprache”). DEplain consists of four main subcorpora: DEplain-APA-doc, DEplain-APA-sent, DEplain-web-doc, and DEplain-web-sent.
DEplain-web-doc: A German Parallel Corpus for Document Simplification on Web Texts DEplain is a new dataset of parallel, professionally written and manually aligned simplifications in plain German “plain DE” (or in German: “Einfache Sprache”). DEplain consists of four main subcorpora: DEplain-APA-doc, DEplain-APA-sent, DEplain-web-doc, and DEplain-web-sent.
We present a comprehensive dataset comprising a vast collection of raw mineral samples for the purpose of mineral recognition. The dataset encompasses more than 5,000 distinct mineral species and incorporates subsets for zero-shot and few-shot learning. In addition to the samples themselves, some entries in the dataset are accompanied by supplementary natural language descriptions, size measurements, and segmentation masks. For detailed information on each sample, please refer to the minerals_full.csv file.
A set of Monte Carlo simulated events, for the evaluation of top quarks' (and their child particles') momentum reconstruction, produced using the HEPData4ML package [1]. Specifically, the entries in this dataset correspond with top quark jets, and the momentum of the jets' constituent particles. This is a newer version of the "Top Quark Momentum Reconstruction Dataset", but with sufficiently large changes to warrant this separate posting.
Three tasks were addressed in the LLMs4OL paradigm. The datasets released address the three tasks respectively. They are as follows:
TDMD contains eight reference DCM objects with six typical distortions. Using processed video sequences (PVS) derived from the DCM, the authors conducted a large-scale subjective experiment that resulted in 303 distorted DCM samples with mean opinion scores, making the TDMD the largest available DCM database to our knowledge.
VisAlign is a dataset for measuring AI-human visual alignment in terms of image classification, a fundamental task in machine perception. In order to evaluate AI-Human visual alignment, a dataset should encompass samples with various scenarios that may arise in the real world and have gold human perception labels. The dataset consists of three groups of samples, namely Must-Act (i.e., Must-Classify), Must-Abstain, and Uncertain, based on the quantity and clarity of visual information in an image and further divided into eight categories.
Cybersecurity education is exceptionally challenging as it involves learning the complex attacks; tools and developing critical problem-solving skills to defend the systems. For a student or novice researcher in the cybersecurity domain, there is a need to design an adaptive learning strategy that can break complex tasks and concepts into simple representations. An AI-enabled automated cybersecurity education system can improve cognitive engagement and active learning. Knowledge graphs (KG) provide a visual representation in a graph that can reason and interpret from the underlying data, making them suitable for use in education and interactive learning. However, there are no publicly available datasets for the cybersecurity education domain to build such systems. The data is present as unstructured educational course material, Wiki pages, capture the flag (CTF) writeups, etc. Creating knowledge graphs from unstructured text is challenging without an ontology or annotated dataset. Howe
Less complex PLC dataset, the states each have a dedicated feature where the positive flank (0->1 value switch) indicates a state start. The noise is generated by inducing random features. Signals: 35 States: 17 Cycles: 3000 Noise [%]: 10 Cycle Time: 89.9
More complex PLC dataset, the states each have a unique combination of feature values indicating a state start. This leads to less precise cycle cutting due to our logic only considering one cyclic signal. For this reason this part of the code is still in development. The noise is generated by inducing random values. Signals: 26 States: 15 Cycles: 400 Noise [%]: 10 Column names: ['Timestamp', 'Signal 1', 'Signal 2', 'Signal 3', 'Signal 4', 'Signal 5', 'Signal 6', 'Signal 7', 'Signal 8', 'Signal 9', 'Signal 10', 'Signal 11', 'Signal 12', 'Signal 13', 'Signal 14', 'Signal 15', 'Signal 16', 'Signal 17', 'Signal 18', 'Signal 19', 'Signal 20', 'Signal 21', 'Signal 22', 'Signal 23', 'Signal 24', 'Signal 25', 'Signal 26', 'Cycle', 'State'] Data shape: (178267, 29) Cycle Time: 147.2
The Arabic-TOD dataset is based on the BiToD dataset. Of the 3,689 BiToD-English dialogues, 1,500 dialogues (30,000 utterances) were translated into Arabic. We translated the task-related keywords such as cuisine, dietary restrictions, and price-level for the restaurant domain, price-level for the hotel domain, type, and price-level for the attraction domain, day, weather, and city for the weather domain. We keep the rest of values without translation, like hotels’ and restaurants’ names, locations, and addresses. These values are real entities in Hong Kong city (literals), and most of them contain Chinese words written in English, therefore they have not been translated. According to the slot-values in the Arabic-TOD dataset, we used the slots names as they are in English and translated their corresponding values, except the entities in Hong Kong city since the Arabic-TOD dataset supports codeswitching.
MGPFD is a dataset for multi-goal path finding problem, including a training dataset and a simulation dataset.
This package contains an anonymized packets of 802.11 probe requests captured throughout March of 2023 at Universitat Jaume I. The packet capture file is in the standardized *.pcap binary format and can be opened with any packet analysis tool such as Wireshark or scapy (Python packet analysis and manipulation package).
This dataset contains 6,387 ChatGPT prompts collected from four platforms (Reddit, Discord, websites, and open-source datasets) during Dec 2022 to May 2023. Among these prompts, 666 jailbreak prompts are identified.
The "Microbundle Time-lapse Dataset" contains 24 experimental time-lapse images of cardiac microbundles using three distinct types of experimental testbed of beating lab grown hiPSC-based cardiac microbundles. Of the 24 experimental time-lapse images, 23 examples are brightfield videos, and a single example is a phase contrast video. We categorize the different experimental testbeds into 3 types, where "Type 1" includes movies obtained from standard experimental microbundle platforms termed microbundle strain gauges [1,2,3]. We refer to data collected from non-standard platforms termed FibroTUGs [4] as "Type 2" data, and "Type 3" data represents a highly versatile and diverse nanofabricated experimental platform [5,6].
Inshorts News dataset Inshorts provides a news summary in 60 words or less. Inshorts is a news service that offers short summaries of news from around the web. This dataset contains headlines and a summary of news items and their source.
Abstract