adamjweintraut/bart-finetuned-kwsylgen-64_2024-04-12_run

---
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-*
---

原始信息汇总

数据集概述

数据集特征

• id: 数据类型为字符串
• orig: 数据类型为字符串
• predicted: 数据类型为字符串
• label: 数据类型为字符串
• rougeL_min_precision: 数据类型为float64
• rougeL_min_recall: 数据类型为float64
• rougeL_min_fmeasure: 数据类型为float64
• rougeL_median_precision: 数据类型为float64
• rougeL_median_recall: 数据类型为float64
• rougeL_median_fmeasure: 数据类型为float64
• rougeL_max_precision: 数据类型为float64
• rougeL_max_recall: 数据类型为float64
• rougeL_max_fmeasure: 数据类型为float64
• predicted_label_sim: 数据类型为float32
• predicted_syls: 数据类型为int64
• label_syls: 数据类型为int64
• syl_error: 数据类型为float64

数据集分割

• train:
  • 字节数: 7204
  • 示例数: 15

数据集大小

• 下载大小: 13186字节
• 数据集大小: 7204字节

配置

• default:
  • 训练数据路径: data/train-*