https://docs.google.com/forms/d/e/1FAIpQLSdcIXGYOzN6HPDxz4cFlcJ-YNUmybVGF0urslilmuvehl_FLw/viewform?usp=sf_link

Hey everyone!

We are a group of design students currently conducting academic research on an intriguing topic: the democratization of data and its potential of data to benefits the public. We believe that data can play a vital role in improving people’s lives outside the realm of business, and we would love to hear your thoughts and experiences on this subject.

If you have a moment, we kindly invite you to answer one or more of the following questions either privately or as a comment:

– Please share your most recent experience using datasets for self– worth or public value (non-business purposes). For example, a project that makes data accessible or extracts insights that can help the general public?

– Working on the project, what worked and what didn’t work? Were there barriers and challenges that you can share?

– Are there any insights or tips you would like to share following the project?

– Do you have any insights or thoughts regarding the use or accessibility of data for the public good?

Your contribution can be as brief or as detailed as you like. We greatly appreciate any answers, thoughts, or perspectives you are willing to share.

Thank you all!

Any data on hate speech of about 3000 to 5000 records such as: on inflation in pakistan, power outage in pakistan etc is required

:

import os import cv2 import numpy as np

Data organization

dataset_root = ‘path_to_dataset_root_directory’ categories = [‘healthy’, ‘diseased’]

for category in categories: category_dir = os.path.join(dataset_root, category) images = os.listdir(category_dir) for image_name in images: image_path = os.path.join(category_dir, image_name) # Perform further processing on each image

Preprocessing and disease detection

def preprocess_and_detect_disease(image_path): # Load the image image = cv2.imread(image_path)

# Preprocess the image gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) blurred_image = cv2.GaussianBlur(gray_image, (5, 5), 0) # Apply image processing techniques (e.g., thresholding) _, thresholded_image = cv2.threshold(blurred_image, 100, 255, cv2.THRESH_BINARY) # Find contours in the image contours, _ = cv2.findContours(thresholded_image.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) # Loop over the contours and detect fruit disease for contour in contours: # Calculate the area of the contour area = cv2.contourArea(contour) # Set a threshold for disease detection threshold_area = 5000 if area > threshold_area: # Draw a bounding box around the detected fruit x, y, w, h = cv2.boundingRect(contour) cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2) # Display the output image cv2.imshow(‘Fruit Disease Detection’, image) cv2.waitKey(0) cv2.destroyAllWindows()

Example usage

image_path = ‘path_to_your_image.jpg’ preprocess_and_detect_disease(image_path)

i need a dataset of hardware componnent like mouse ,ram,pc,laptop etc…. for a school project

Your value to Reddit is your free posts and comments so remember to delete your posts before deleting your account!

I used this Reddit API script to delete 10 years of my comments and posts: https://codepen.io/j0be/full/WMBWOW/

Bye Reddit! It has been fun!

I’ve heard the entire reddit post and comment dataset is released monthly somewhere but can’t find it.
Does anyone know where?

​

https://forms.microsoft.com/e/5gBkjDhYKN

I will make this public after some time, and I really appreciate it for anyone who complete it.

Lots of subs are going to go dark/private because reddit will raise the price of api calls to them.

​

/r/datasets is more pro cheap/free data than most subs. What do you think of the idea of going dark? Example explanation from another sub.
https://old.reddit.com/r/redditisfun/comments/144gmfq/rif_will_shut_down_on_june_30_2023_in_response_to/

Hi friends, I’m looking for a dataset of videos that can be used to understand human talking/chatting, very much appreciated for any suggestions. Thanks.

Just looking for a cool dataset I can throw into Python and do a multiple regression on. Ideally, just to add to my GitHub for a job application. What would you do? This is for a entry level DS position and they want to see a couple of projects.

I want to get hold of threaded communication that happens at work.

I have taken a look at,

Mailing lists, but mails are elaborate and I want to specifically train a model on shorter day to day conversations.
IRC archives don’t contain information about the message replied to.

Any open platforms/data sets you have come across where I can find the information containing regular day to day chats?

Hi everyone, in case you’re working on some projects based on web scraped data from e-commerce fashion websites, you can buy them on databoutique.com for few dollars. Available websites: Zara, Mango, H&M for fast fashion. Gucci, Prada, Balenciaga, Farfetch and more for luxury.

Hi all,

Is there a dataset about electric vehicle reviews, that can be why they don’t want to buy it, what issues that they want to fix, concerns maybe and so on.

If not is it OK if I create a google form to collect these data and post it here? I will ofcourse make the data public affect collecting it.

I need a dataset that has ideally a list of different stocks and their values as a time series. with a labelling 0 or 1 during the times of manipulation.

I’ve searched around a fair bit and cant find anything. So if that doens’t exist is there a site i can go to to get a list of manipulation cases so i can collect and label the data myself?

Twitter thread about what is in it https://twitter.com/paulnovosad/status/1664269036946067457

Hey Everyone!

I’m having issues attempting to decode the information provided by the CDC. I downloaded the Mortality Multiple Cause File for 2021, and the .txt file is – not only over 2GB, but also incomprehensible. I followed the accompanying .pdf file and was even more confused by its “List of File Data Elements and Tape Locations”, and how I’m supposed to use the file to comprehend a list of codes upon codes upon codes? Especially, when the .txt file has no structure, and when I try to follow a top down approach, codes don’t seem to match.

I wanted to ask if there is a common approach to this, or if I am missing something?

Additional Info:

I am using R for statistical analysis. I wanted the raw data for this reason. I attempted to convert the .txt file to a .csv file format using Python, and it helped by structuring the data a little, but I still don’t know what I am looking at in terms of what it all means.

This is how the rows look now: 11 7101 F1080 422210 4D1 2021U7CN C851129 039 13 0511I509 21I518 31I513 41C851 61M481 05 C851 I509 I513 I518 M481 100 01 184005949020

I would appreciate any, and all help. Thank you all very much in advance.

I have been working on project related to tsunami and I wanted a graph on this but I am not able to find anything please help me

Hi Everyone,

Spotify Dataset contains the number of premium users, number of Ad-supported users and total monthly active users (MAUs), Total revenues and Cost of Revenue, Gross Profit.

Use Dataset : https://www.kaggle.com/datasets/mauryansshivam/spotify-revenue-expenses-and-its-premium-users

Listed Spotify Revenue, Expenses and Its Premium Users since 2017

Hey everyone,

I have a dataset that contains the positions of 9 flies for each frame. I want to build a behavior classifier based on this data, but I’m not sure how to approach the problem.

Sample: https://drive.google.com/file/d/1W960Z92f1im80o1l6FveWXBQI5883iRx/view?usp=sharing

My goal is to create an input that takes 9 rows at once, where each row represents the position of one fly, and then learn from it by finding distances between each body part of the flies with each other to determine whether they are touching, grooming, or avoiding.

Additionally, I would like to consider past frames while predicting current frame outputs. Does anyone have suggestions on how to approach this problem? Are there any similar models or approaches that already exist for this?

I’m open to using various machine learning models such as decision trees, support vector machines, or even deep learning models.

If you have any insights or resources that could help me get started, please let me know! Thanks in advance.

Can someone please create a dataset of news articles about ‘USA-China relations’. The dataset must have 5-10 years worth of articles and contain the news article name, date and short description.