boycott | configurationless , code only , .net ORM library | Object-Relational Mapping library

I am preprocessing data for an NLP task and need to structure the data in the following way:

[tokenized_sentence] tab [tags_corresponding_to_tokens]

I have a text file with thousands of lines in this format, where the two lists are separated by a tab. Here is an example

I have the following API to extract data from: https://www.business-humanrights.org/en/api/internal/explore/?format=json&search=nike

I have extracted the API results using json (see below), but the structure of the API seems to be quite convoluted and I do not understand how to extract the information relevant for me and store it into a pandas dataframe. The information I am interested in are the values of the following keys

"translated_title" "backdate" "translated_abstract" "translated_url"

Y'all, I'm trying to alleviate some of my work in migrating from a face-to-face teaching environment to one that is remote for at least the next three months. To this end, I am trying to create randomized lists of eligible vocabulary words for quizzes. I can have it generate up to eighteen sets of words for an identical number of quizzes, but I seem to be fumbling with checking whether the randomly selected word is already part of that quiz, i.e. I am getting a ton of repeats. Since one word is taught per day, this means the first biweekly quiz will have ten eligible words; the second, twenty words; the third, thirty words; etc. Please see the code below, and thank you in advance for your help!

I'm trying to make a scrabble game in Javascript. Let's say I have a "rack" variable which contains seven letters, and a "word" variable which is the English-valid word I just spelled. I want to remove the letters from my rack that are contained in word. How do I do this?