metadata
dataset_info:
features:
- name: contexts
dtype: string
- name: questions
dtype: string
- name: answers
dtype: string
- name: predicts
dtype: string
- name: meaning
dtype: string
- name: common_theme
dtype: string
- name: persuasion
dtype: string
- name: believability
dtype: string
- name: informative
dtype: string
- name: objective
dtype: string
- name: expression
dtype: string
- name: emotional
dtype: string
- name: meaning_nor
dtype: float64
- name: common_theme_nor
dtype: float64
- name: persuasion_nor
dtype: float64
- name: believability_nor
dtype: float64
- name: informative_nor
dtype: float64
- name: objective_nor
dtype: float64
- name: expression_nor
dtype: float64
- name: emotional_nor
dtype: float64
- name: score_mean
dtype: float64
- name: humanscore
dtype: float64
- name: mistral_score
dtype: float64
- name: categori
dtype: int64
splits:
- name: train
num_bytes: 118617
num_examples: 100
download_size: 53970
dataset_size: 118617
configs:
- config_name: default
data_files:
- split: train
path: data/train-*