metadata
dataset_info:
features:
- name: id
dtype: string
- name: orig
dtype: string
- name: predicted
dtype: string
- name: label
dtype: string
- name: rougeL_min_precision
dtype: float64
- name: rougeL_min_recall
dtype: float64
- name: rougeL_min_fmeasure
dtype: float64
- name: rougeL_median_precision
dtype: float64
- name: rougeL_median_recall
dtype: float64
- name: rougeL_median_fmeasure
dtype: float64
- name: rougeL_max_precision
dtype: float64
- name: rougeL_max_recall
dtype: float64
- name: rougeL_max_fmeasure
dtype: float64
- name: predicted_label_sim
dtype: float32
- name: predicted_syls
dtype: int64
- name: label_syls
dtype: int64
- name: syl_error
dtype: float64
splits:
- name: train
num_bytes: 7204
num_examples: 15
download_size: 13186
dataset_size: 7204
configs:
- config_name: default
data_files:
- split: train
path: data/train-*