We are building a hosted embedding marketplace for builders to augment their leaner open-source LLMs with relevant context. This lets you avoid all the infra for finding, cleaning, and indexing public and third-party datasets, while maintaining the accuracy that comes with larger LLMs.

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Need help

Hi everyone, I am PhD student and currently working on an NLP and Network Analysis project. I am in search of an email dataset with sender, receiver and the message information. Preferably from companies with some other metrics such as performance and so on included (which is not absolute necessity). If anyone know of such a dataset like ENRON or SpamAssasian and direct me to it, I would be most thankful.

I was wondering if there were any job datasets with statistics about employment rates and types of jobs recent graduates get. The more variables for a data point, the better.

There are legitimate gripes about Java syntax, to be sure—the same is true of JavaScript and every other language. As Bjarne Stroustrup once said, “There are only two kinds of languages: the ones people complain about and the ones nobody uses.”

The JVM

I’m taking a programming module in my Economics course and I need an easy csv dataset to analyse as my first one for some coursework.

I have absolutely zero experience with this so a relatively simple one would be very nice thanks!

Working on a side project, but cant seem to find this data. Its weird that this should be obviously out there but is behind pay walls. Is there a free source I can get this data from?

On the hunt for dollar store data from the past 5 years, including opening year. Preferable including Dollar General and Dollar Tree, but either/or is fine. I’m able to find some data through SNAP and BluePages, but they don’t have any information on when the store was opened. Any ideas?

Doing a project where we are finding data about airlines. I need a dataset with complex demography of passengers from the years 2019-2022. This primarily focuses on age, gender, and possibly nationality. It has been a pain in the ass to find anything that specific, and I’m guessing it is hard to find because most datasets have limited information, and others may have restrictions on how data can be used. If you do find anything, please comment.

Preferably west pomeranian university one but could be anything. I’m in need of a way to download and access it.

The subject for my project is predicting forest fires and I am looking for a dataset similar to the one shared on Kaggle but I can’t find one. I looked on Earth engine and found some datasets but they don’t provide dates and they are Imagecollections, not csv. I am familiar with machine learning and cleaning datasets in csv format after turning it into dataframes but not at all familiar with Imagecollections. So basically my question comes down to two paths:

I use the datasets from Earth Engine but I don’t know how to work with them. So perhaps someone could give me some tips on how to predict Can someone guide me towards a suitable dataset to predict forest fires?

I appreciate all input!

Are there any good tools/techniques for capturing workflow data, specifically to help train an LLM? Use case is accurate question answering around processes/best practices inside an organization.

Is this where something like a UiPath would be necessary?

I started on this idea of finding a comprehensive book dataset which for sure has a description and more than one genre (makes things more realistic), since I wanted to cluster them based on similarity to find some good ones to read for myself 😉 The only ones I could find on Kaggle were ones with a single genre label, so collected it on my own.

So sharing it here in case it helps someone else too:

[Dataset](https://www.kaggle.com/datasets/ishikajohari/best-books-10k-multi-genre-data)

The data was collected from Goodreads from their list – Books That Everyone Should Read At Least Once and contains Description, Ratings and Multiple Genre classifiers.

Can anyone assist me?

I’m wondering if there is a free aviation API to track arrivals and departures to a set airport. It would collect: Callsign, Aircraft Type, Gate, and Arrival/Departure airport, then plug that into a Google Sheet.
Currently I run this process manually by looking at FlightAware data, but if I can automate this for free that would be great!

From the assignment ” Source a data set with regard on equipment failure on the internet that can help you to illustrate the difference between causation and correlation. “

I need each country’s population, area (preferably in square miles), GDP, and year of founding. Just raw data.

i need earnings estimates preferably multiyears into the future. yahoo finance only gives 2 years. zacks too

I’m working on a project that will involve identifying maintenance issues based on a worm’s eye view of the underside of vehicles. Any suggestions on where to look? Thanks in advance.

In March 2023, a Python scraper was used to collect a dataset that comprises of over 8,000 beauty products available on the Sephora online store. The dataset includes comprehensive details about the products, such as their names, brands, prices, ingredients, ratings, and all other relevant features.

Source of the dataset: https://www.kaggle.com/datasets/nadyinky/sephora-products-and-skincare-reviews

To view the dataset: https://app.gigasheet.com/spreadsheet/Sephora-Cosmetic-Reviews/e74caa44_2abf_4f49_bc0d_3477fcb1663e

Hi all,

Wondering if anyone has any ideas for accessing or gathering data on Nextdoor and Ring user demographics – specifically in four target cities. This is a part of a larger project that is examining the effects of technology on neighborhoods. Been beating my head against a wall trying to figure this out myself and decided I would ask y’all.

​

Thanks!

All the publicly available datasets I could find like the TCGA, GEO, NCBI don’t have the entire DNA sequence of a patient that is positive for cancer.

Huggingface links: 90M tweets, 150K users

Is is introduced in [this blog]((https://medium.com/@enryu9000/fun-with-large-scale-tweet-analysis-783c96b45df4).

Compared to some of the existing twitter datasets, this one has many tweets per user, which can be useful for some types of analysis.

Hi all,

I’m currently trying to merge 3 lists of together over 30.000 rows with companies, to make sure I can delete the duplicates I want to merge the companies sin one list with one similar cell for all, the exact address or coordinates.

I’ve tried using bing maps API, but after checking it doesn’t show up correctly. What I can do is go into google maps an manually put in the company, state & city and then copy the address but doing this for 30.000 rows will take me years.

What would my best option be to do this? I’m advanced with Zapier & Power Automate.

Many thanks!

Additionally a histogram of the most common individual colors and pairings (and trios, etc. if some schools have 3+ colors)

Edit: The intention of the post is for anyone to submit to r/dataisbeautiful, but the chain of related subs leads me here if I don’t have that data to begin with.