README.md

metadata

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.