README.md

metadata

dataset_info:
  features:
    - name: text
      dtype: string
    - name: sentiment
      dtype: string
  splits:
    - name: train
      num_bytes: 28302.111747851002
      num_examples: 279
    - name: test
      num_bytes: 7100.888252148997
      num_examples: 70
  download_size: 23157
  dataset_size: 35403
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
annotations_creators:
  - expert-generated
  - crowdsourced
language:
  - it
language_creators:
  - crowdsourced
license:
  - mit
multilinguality:
  - monolingual
pretty_name: sentiment analysis data base developed in a school
size_categories:
  - n<1K
source_datasets:
  - original
tags:
  - school project, school, high school
task_categories:
  - text-classification
task_ids:
  - sentiment-analysis

#Sentiment analysi School project the dataset was created with an online questionnaire in which an audience of students, teachers, administrative staff, and families were asked to answer some questions about their relationship with school.

the annotations were made by correlating the textual responses to satisfaction indicators.

the dataset was created within an afternoon course dedicated to artificial intelligence.

thanks to everyone for their collaboration❤️.