Hey everyone! I’m currently working on my MA dissertation on Anthony Burgess’ “A Clockwork Orange”. My supervisor asked me to create a parallel corpus for the versions of the book which I’m analysing (source text in English, target text 1 in German, and target text 2 in Russian). The aim is to analyse the fictional language “Nadsat” and its translations into German and Russian. However, I have no previous experience with corpus linguistics, and therefore don’t know how to create a parallel corpus for three languages. I’ve been using Sketch Engine, for which I’ve started to align the texts manually, but it’s obviously taking ages, so I was wondering whether you could recommend any more efficient ways to align the three texts?

trying to find out how to get effective results, instead of the most commonly used datasets.

i’m looking for instagram dataset, where i need at least for each
account, i need each post with number of followers at the moment of the
post and number people reach with each publication.
I don’t need personal information, only numeric value. The project is to
try to predict the number of people reach with the help of other data.
thx.

The website is defunct but it says “If you’d like to dive deeper, the full dataset of words and their values for each county is available for download here.”

I assume at least a few people have downloaded this full dataset on their hard drives or in a cloud. Is there anyone here who does have it and could share?

Looking for the data set of players that played for top european clubs from 2000s, any website where i can get the csvs. Thanks

So far I’m using two python libraries

https://pypi.org/project/wikitextparser/ https://mwclient.readthedocs.io/en/latest/

to get pages from categories from a media Wiki architectured website (https://nethackwiki.com). However the parser that I’m using does not offer the ability to interpolate the templates

So I’m either stuck with plain text that removes all the templates and removes valuable data, or I have the raw contents that still have all of the templating syntax.

I have no desire to write an interpolation parsing engine, is my only option to go in and strip the syntax manually?

I have found a few DBs,
https://github.com/dr5hn/countries-states-cities-database

https://simplemaps.com/data/world-cities

But, I was wondering if there existed better DBs for the same. Specially the crops that are grown in a specific country, the fao one is very broadly defined, for example fruits and vegetables are just classified as fruits and vegetables but I want them to be exhaustible.

https://www.kaggle.com/datasets/benjameeper/movie-violencesexprofanity-data

I scraped and aggregated content filters for 1,700 movies from VidAngel. I think there is some good potential in this data to evaluate how well movie ratings (PG, PG-13, R etc) describe how much explicit content a movie contains.

My data analysis skills only took me so far, I would love to see what insights other people can dig up. Let me know if you think more granularity in the data is needed (number of f-word occurrences, etc.)

Cybersyn just launched a free dataset that includes text and metadata for patents granted by the USPTO. We’ve continued seeing strong demand for document/text based datasets – more to come.

https://www.diversify.fyi

The information is gathered from company-reported diversity reports (mainly EEO-1 data). Most of the raw data displayed in the site was originally from here: https://www.dol.gov/agencies/ofccp/foia/library/Employment-Information-Reports

In full disclosure, I created the site, but it is completely free.

Also, are there any pre-trained models that can do this which i can get access to for free or for not a lot of money??

Hi, I am currently building a dataset indexing platform. The purpose is to enable users to list and find datasets more easily as compared to existing options such as Kaggle and Google Dataset Search. As a dataset owner, you can freely list your valuable data; as a dataset user, you can have an effective and exploratory search experience.

I love to get feedback from this community and/or schedule a 1:1 session to find out more about how you currently list or search for datasets and share with you our idea, which is to tokenize the dataset and store the dataset’s attributes as metadata for easy indexing. I am also looking for early adopters – applicable to anyone who has data or is searching for data!

Anyone who is keen to explore further, please let me know. Thank you.

Hi guys,

Ive never posted on this but im pretty desperate right now. Im doing a reserach project where im using ML algorithms to classify sites for renewable energy potential. Ive searched everywhere and even tried making an api requester code in python but with the amount of data I need (50-100k rows) it would take waaay to long. So I come here to ask if anyone has a dataset with lat and lon, wind speed, direction, at minimum. Pressure and temp would be nice as well if possible. For solar, GHI and DNI, and maybe lateral tilt. But I want it to have random lat and lon coordinates not all in one spot.

Please guys, i need your help

dm me if you need more info

Hey I’m wondering if anyone has seen data that is labeled habitats for malaria mosqutios from images of google earth or other satellite data. Thank you

I am doing a research on the energy emissions of cement plants and I need data on this. Where can I find it.

I need energy emissions suitable for any sectoral distribution. When I increased in the subreddit, I found only one website, but still, if there is a higher quality data set, I would like to obtain it as well.

Recently, I’ve been exploring the area of 3-dimensional data in machine learning. By that, I mean arrays with shape (x, x, x). As an example:

All the numbers are randomized, but hopefully, this will give you a gist of what I’m looking for

I have only encountered image datasets in my search, which I am not looking for. In addition, I want to find data already in three dimensions instead of two-dimensional time series data that can be made into three-dimensional data. Where could I find datasets like the ones I’m looking for?

Links or search terms would be greatly appreciated.

Any tips on where to find construction related APIs?

As the title suggests, I’m looking for a dataset that provides the grocery item and maybe the most common aisle it’s found in, followed by the potentially the next most common aisle.

Ideally it’s something like item, category, image, aisle_1, aisle_2.

If something like that doesn’t exist, an acceptable alternative would be in paragraph form like the example below.

​

Tahini
In most grocery stores, tahini is either in the aisle with other condiments like peanut butter or in the aisle with international foods. You can also find it at a specialty or Middle Eastern grocery. It is sold shelf-stable in glass or plastic jars and is not refrigerated.

Doing some research for a project I am working on and started thinking:

What are the different types of proprietary data that can be accessed more cheaply in other geographies?

Why is it hard to access that data in the US/UK and not anywhere else? Is it because the data creator has a monopoly? Or are there regulatory issues? Is the cost too high to gather and store?

Any advice, leads, or tips would be greatly appreciated!!

For a university project I want a dataset that has the symptoms, cause, region, country, which food or which conditions the allergy is likely to happen.

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I’m looking for medicine dataset which is publically available. Preferred if it is from tata 1mg/

I am inviting you to for using ML knowledge to on image datasets which are :

1.3900+ MARVEL Comic Cover & 900+ Characters Images

DC Comics Characters Images Data (160+)

I want to know what percent of benign fetishists — like foot fetishists — also have more harmful fetishes, like pedophilia. Men who are into BDSM claim that this is harmless, but I suspect that they’re lying.

Does anyone have a dataset on paraphilias?