adamjweintraut/bart-finetuned-lyrlen-128-tokens_2024-03-22_run

---
dataset_info:
features:
- name: id
dtype: int64
- name: syllable_counts
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
splits:
- name: train
num_bytes: 681709
num_examples: 300
download_size: 304493
dataset_size: 681709
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

原始信息汇总

数据集概述

特征信息

数据集包含以下特征：

• id: 数据类型为 int64
• syllable_counts: 数据类型为 string
• predicted: 数据类型为 string
• label: 数据类型为 string
• 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

数据分割

• train: 包含 300 个样本，数据大小为 681709 字节

数据集大小

• 下载大小: 304493 字节
• 数据集大小: 681709 字节

配置信息

• config_name: default
• data_files:
  • split: train
  • path: data/train-*