* chore(nlp-scraper): fix small grammar mistakes and improve readability
* feat(nlp-scraper): add link to datasets provided
* feat(nlp-scraper): add clarification about sentiment analysis
* feat(nlp-scraper): define how many articles are expected to be scraped
* chore(nlp-scraper): improve grammar and readability
* chore(nlp-scraper): fix typos
* feat(nlp-scraper): add label to link
* feat(nlp-scraper): remove audit question not related to the project
* refactor(nlp-scraper): refactor question
* chore(nlp-scraper): fix small typos
* feat(nlp-scraper): add information on how to calculate scandal
* feat(nlp-scraper): adde details to the delivrable section
* feat(nlp-scraper): add reference to subject in audit
* feat(nlp-scraper): update project structure
- run prettier
* feat(nlp-scraper): complete sentence in subject intro
-make formatting consistent with 01 subject