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---
dataset_info:
features:
- name: text
dtype: string
- name: label_str
dtype: string
- name: label_dict
struct:
- name: amenities
dtype: string
- name: cleanliness
dtype: string
- name: comfort
dtype: string
- name: location
dtype: string
- name: other
dtype: string
- name: staff
dtype: string
- name: value
dtype: string
- name: wifi
dtype: string
splits:
- name: train
num_bytes: 821767
num_examples: 5069
- name: validation
num_bytes: 205834
num_examples: 1268
- name: test
num_bytes: 457326
num_examples: 2717
download_size: 552626
dataset_size: 1484927
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
# Dataset Card
An adaptation of "*Basile, Pierpaolo, et al. "Overview of the EVALITA 2018 Aspect-based Sentiment Analysis task (ABSITA)." EVALITA Evaluation of NLP and Speech Tools for Italian. CEUR, 2018. 1-10.*", meant for fine-tuning generative LLMs.
Already contains training, validation, and test splits. |