---
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: 35403.0
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❤️.