adamjweintraut/bart-finetuned-eli5_lfqa_best_slice-256_2023-12-10_run

---
dataset_info:
features:
- name: index
dtype: int64
- name: q_id
dtype: string
- name: question
dtype: string
- name: context
dtype: string
- name: target
dtype: string
- name: predicted
dtype: string
- name: label
dtype: string
- name: rougeL_P
dtype: float64
- name: rougeL_R
dtype: float64
- name: rougeL_F
dtype: float64
- name: Cosine_Sim
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: 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: 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: 8354389
num_examples: 1250
download_size: 5113622
dataset_size: 8354389
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

数据集包含以下特征：

• index: 数据类型为 int64
• q_id: 数据类型为 string
• question: 数据类型为 string
• context: 数据类型为 string
• target: 数据类型为 string
• predicted: 数据类型为 string
• label: 数据类型为 string
• rougeL_P: 数据类型为 float64
• rougeL_R: 数据类型为 float64
• rougeL_F: 数据类型为 float64
• Cosine_Sim: 数据类型为 float64
• nli-roberta_label: 数据类型为 string
• nli-roberta_plot_vals: 数据类型为 int64
• nli-roberta-max-score: 数据类型为 float64
• sent_sim: 数据类型为 float32
• context_answer_sim: 数据类型为 float32
• 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
• context_predicted_sim: 数据类型为 float32
• context_label_sim: 数据类型为 float32
• predicted_label_sim: 数据类型为 float32
• nli_context_predicted_label: 数据类型为 string
• nli_context_predicted_plots: 数据类型为 int64

数据分割

数据集包含以下分割：

• train: 包含 1250 个样本，占用 8354389 字节

数据集大小

• 下载大小: 5113622 字节
• 数据集大小: 8354389 字节

配置

• 配置名称: default
  • 数据文件:
    • 分割: train
    • 路径: data/train-*