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. |