Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-analysis
Languages:
Italian
Size:
< 1K
License:
File size: 1,280 Bytes
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---
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❤️. |