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

---
dataset_info:
features:
- name: index
dtype: int64
- name: q_id
dtype: string
- name: question
dtype: string
- name: og_context
dtype: string
- name: og_predicted
dtype: string
- name: og_label
dtype: string
- name: og_nli-roberta_label
dtype: string
- name: og_nli-roberta_plot_vals
dtype: int64
- name: og_nli-roberta-max-score
dtype: float64
- name: new_context
dtype: string
- name: new_predicted
dtype: string
- name: new_label
dtype: string
- name: new_nli-roberta_label
dtype: string
- name: new_nli-roberta_plot_vals
dtype: int64
- name: new_nli-roberta-max-score
dtype: float64
- name: context_sim
dtype: float32
splits:
- name: train
num_bytes: 146486
num_examples: 9
download_size: 134647
dataset_size: 146486
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

原始信息汇总

数据集信息

特征

• index: 数据类型为 int64
• q_id: 数据类型为 string
• question: 数据类型为 string
• og_context: 数据类型为 string
• og_predicted: 数据类型为 string
• og_label: 数据类型为 string
• og_nli-roberta_label: 数据类型为 string
• og_nli-roberta_plot_vals: 数据类型为 int64
• og_nli-roberta-max-score: 数据类型为 float64
• new_context: 数据类型为 string
• new_predicted: 数据类型为 string
• new_label: 数据类型为 string
• new_nli-roberta_label: 数据类型为 string
• new_nli-roberta_plot_vals: 数据类型为 int64
• new_nli-roberta-max-score: 数据类型为 float64
• context_sim: 数据类型为 float32

数据分割

• train: 包含 9 个样本，占用 146486 字节

数据集大小

• 下载大小: 134647 字节
• 数据集大小: 146486 字节

配置

• default:
  • 数据文件路径: data/train-*