1. Shoulder Implant X-Ray Manufacturer Classification: 597 de-identified raw X-ray scans of implanted shoulder prostheses from four manufactures.
2. ser Knowledge Modeling Data (Students' Knowledge Levels on DC Electrical Machines): The dataset is about the users' learning activities and knowledge levels on subjects of DC Electrical Machines. The dataset had been obtained from online web-courses and reported in my Ph.D. Thesis.
3. Shoulder Implant X-Ray Manufacturer Classification: 597 de-identified raw X-ray scans of implanted shoulder prostheses from four manufactures.
4. NoisyOffice: Corpus intended to do cleaning (or binarization) and enhancement of noisy grayscale printed text images using supervised learning methods. Noisy images and their corresponding ground truth provided.
5. Intelligent Media Accelerometer and Gyroscope (IM-AccGyro) Dataset: The IM-AccGyro dataset is devised to benchmark techniques dealing with human activity recognition based on inertial sensors.
6. Chronic_Kidney_Disease: This dataset can be used to predict the chronic kidney disease and it can be collected from the hospital nearly 2 months of period.
7. Wheat kernels: Measurements of morphological descriptors of wheat kernels from Punjab State. A machine Learning based technique was used to extract 15 features, all are real valued attributes
8. GPS Trajectories: The dataset has been feed by Android app called Go!Track. It is available at Goolge Play Store(https://play.google.com/store/apps/details?id=com.go.router).
9. Connectionist Bench (Vowel Recognition - Deterding Data): Speaker independent recognition of the eleven steady state vowels of British English using a specified training set of lpc derived log area ratios.
10. Hill-Valley: Each record represents 100 points on a two-dimensional graph. When plotted in order (from 1 through 100) as the Y co-ordinate, the points will create either a Hill (a “bump” in the terrain) or a Valley (a “dip” in the terrain).
11. Alcohol QCM Sensor Dataset: Five different QCM gas sensors are used, and five different gas measurements (1-octanol, 1-propanol, 2-butanol, 2-propanol and 1-isobutanol) are conducted in each of these sensors.
12. Fertility: 100 volunteers provide a semen sample analyzed according to the WHO 2010 criteria. Sperm concentration are related to socio-demographic data, environmental factors, health status, and life habits
13. Thoracic Surgery Data: The data is dedicated to classification problem related to the post-operative life expectancy in the lung cancer patients: class 1 - death within one year after surgery, class 2 - survival.
14. Low Resolution Spectrometer: From IRAS data -- NASA Ames Research Center
15. ILPD (Indian Liver Patient Dataset): This data set contains 10 variables that are age, gender, total Bilirubin, direct Bilirubin, total proteins, albumin, A/G ratio, SGPT, SGOT and Alkphos.
16. Behavior of the urban traffic of the city of Sao Paulo in Brazil: The database was created with records of behavior of the urban traffic of the city of Sao Paulo in Brazil.
17. Northix: Northix is designed to be a schema matching benchmark problem for data integration of two entity relationship databases.
18. USPTO Algorithm Challenge, run by NASA-Harvard Tournament Lab and TopCoder Problem: Pat: Data used for USPTO Algorithm Competition. Contains drawing pages from US patents with manually labeled figure and part labels.
19. Labeled Text Forum Threads Dataset: The dataset is a collection of text forum threads with class labels reflects the reply quality to the Initial-Post, 3 for complete relevant, 2 for partially relevant, and 1 for irrelevant
20. CMU Face Images: This data consists of 640 black and white face images of people taken with varying pose (straight, left, right, up), expression (neutral, happy, sad, angry), eyes (wearing sunglasses or not), and size
21. Robot Execution Failures: This dataset contains force and torque measurements on a robot after failure detection. Each failure is characterized by 15 force/torque samples collected at regular time intervals
22. Paper Reviews: This sentiment analysis data set contains scientific paper reviews from an international conference on computing and informatics. The task is to predict the orientation or the evaluation of a review.
23. Autistic Spectrum Disorder Screening Data for Children : Children screening data for autism suitable for classification and predictive tasks
24. Autistic Spectrum Disorder Screening Data for Adolescent : Autistic Spectrum Disorder Screening Data for Adolescent. This dataset is related to classification and predictive tasks.
25. CSM (Conventional and Social Media Movies) Dataset 2014 and 2015: 12 features categorized as conventional and social media features. Both conventional features, collected from movies databases on Web as well as social media features(YouTube,Twitter).
26. Autism Screening Adult: Autistic Spectrum Disorder Screening Data for Adult. This dataset is related to classification and predictive tasks.
27. Demospongiae: Marine sponges of the Demospongiae class classification domain.
28. Rice Leaf Diseases: There are three classes/diseases: Bacterial leaf blight, Brown spot, and Leaf smut, each having 40 images. The format of all images is jpg.
29. Japanese Credit Screening: Includes domain theory (generated by talking to Japanese domain experts); data in Lisp
30. Heart Disease: 4 databases: Cleveland, Hungary, Switzerland, and the VA Long Beach
31. Mechanical Analysis: Fault diagnosis problem of electromechanical devices; also PUMPS DATA SET is newer version with domain theory and results
32. University: Data in original (LISP-readable) form
33. Audiology (Original): Nominal audiology dataset from Baylor
34. Molecular Biology (Protein Secondary Structure): From CMU connectionist bench repository; Classifies secondary structure of certain globular proteins
35. Syskill and Webert Web Page Ratings: This database contains HTML source of web pages plus the ratings of a single user on these web pages. Web pages are on four seperate subjects (Bands- recording artists; Goats; Sheep; and BioMedical)
36. Early stage diabetes risk prediction dataset.: This dataset
contains the sign and symptpom data of newly diabetic or would be diabetic patient.
37. Turkish Spam V01: The TurkishSpam data set contains spam and normal emails written in Turkish.
38. Dresses_Attribute_Sales: This dataset contain Attributes of dresses and their recommendations according to their sales.Sales are monitor on the basis of alternate days.
39. Urban Land Cover: Classification of urban land cover using high resolution aerial imagery. Intended to assist sustainable urban planning efforts.
40. : Simulated Data set of Iraqi tourism places: Simulated Data set of Iraqi tourism places with their position (longitude,latitude)and type of interest for each place
41. Newspaper and magazine images segmentation dataset: Dataset is well suited for segmentation tasks. It contains 101 scanned pages from different newspapers and magazines in Russian with ground truth pixel-based masks.
42. Russian Corpus of Biographical Texts: Sentence classification (Russian). The corpus contains Wikipedia texts splitted into sentences/ Each sentence has a topic label.
43. Student Performance on an entrance examination: This dataset contains data of the candidates who qualified the medical entrance examination for admission to medical colleges of Assam of a particular year and collected by Prof. Jiten Hazarika.
44. Forest type mapping: Multi-temporal remote sensing data of a forested area in Japan. The goal is to map different forest types using spectral data.
45. Folio: 20 photos of leaves for each of 32 different species.
46. Shoulder Implant Manufacture Classification: The multi-class classification data set consists of 597 de-identified raw images of X-ray scans showing implanted shoulder prostheses from four manufactures.
47. Reuters Transcribed Subset: This dataset is created by reading out 200 files from the 10 largest Reuters
classes and using an Automatic Speech Recognition system to create
48. Student Academics Performance: The dataset tried to find the end semester percentage prediction based on different social, economic and academic attributes.