---
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.