adamjweintraut/bart-finetuned-eli5_precomputed_best_slice-256_2023-12-09_run

---
dataset_info:
features:
- name: q_id
dtype: string
- name: question
dtype: string
- name: context
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: nli-roberta_label
dtype: string
- name: nli-roberta_plot_vals
dtype: int64
- name: nli-roberta-max-score
dtype: float64
- name: sent_sim
dtype: float32
- name: context_answer_sim
dtype: float32
- name: context_predicted_sim
dtype: float32
- name: context_label_sim
dtype: float32
- name: predicted_label_sim
dtype: float32
- name: nli_context_predicted_label
dtype: string
- name: nli_context_predicted_plots
dtype: int64
splits:
- name: train
num_bytes: 15883851
num_examples: 1250
download_size: 9859508
dataset_size: 15883851
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

原始信息汇总

数据集概述

数据特征

• q_id: 字符串类型
• question: 字符串类型
• context: 字符串类型
• predicted: 字符串类型
• label: 字符串类型
• rougeL_min_precision: 浮点数类型 (float64)
• rougeL_min_recall: 浮点数类型 (float64)
• rougeL_min_fmeasure: 浮点数类型 (float64)
• rougeL_median_precision: 浮点数类型 (float64)
• rougeL_median_recall: 浮点数类型 (float64)
• rougeL_median_fmeasure: 浮点数类型 (float64)
• rougeL_max_precision: 浮点数类型 (float64)
• rougeL_max_recall: 浮点数类型 (float64)
• rougeL_max_fmeasure: 浮点数类型 (float64)
• nli-roberta_label: 字符串类型
• nli-roberta_plot_vals: 整数类型 (int64)
• nli-roberta-max-score: 浮点数类型 (float64)
• sent_sim: 浮点数类型 (float32)
• context_answer_sim: 浮点数类型 (float32)
• context_predicted_sim: 浮点数类型 (float32)
• context_label_sim: 浮点数类型 (float32)
• predicted_label_sim: 浮点数类型 (float32)
• nli_context_predicted_label: 字符串类型
• nli_context_predicted_plots: 整数类型 (int64)

数据分割

• train: 包含1250个样本，占用15883851字节

数据集大小

• 下载大小: 9859508字节
• 数据集大小: 15883851字节

配置

• default
  • 数据文件:
    • train: 路径为 data/train-*