nikchar/retrieval_verification_roberta
收藏Hugging Face2023-09-30 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/nikchar/retrieval_verification_roberta
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资源简介:
---
dataset_info:
features:
- name: claim
dtype: string
- name: evidence_wiki_url
dtype: string
- name: text
dtype: string
- name: retrieved_evidence_title
sequence: string
- name: retrieved_evidence_text
sequence: string
- name: labels
dtype: int64
- name: Retrieval_Success
dtype: bool
- name: Predicted_Labels
dtype: int64
- name: Predicted_Labels_Each_doc
sequence: int64
splits:
- name: train
num_bytes: 73601741
num_examples: 11073
download_size: 34426562
dataset_size: 73601741
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "retrieval_verification_roberta"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
dataset_info:
features:
- name: 主张(claim)
dtype: 字符串
- name: 维基百科证据链接(evidence_wiki_url)
dtype: 字符串
- name: 文本(text)
dtype: 字符串
- name: 检索到的证据标题(retrieved_evidence_title)
dtype: 字符串序列
- name: 检索到的证据文本(retrieved_evidence_text)
dtype: 字符串序列
- name: 标签(labels)
dtype: 64位整型
- name: 检索成功率(Retrieval_Success)
dtype: 布尔型
- name: 预测标签(Predicted_Labels)
dtype: 64位整型
- name: 单文档预测标签(Predicted_Labels_Each_doc)
dtype: 64位整型序列
splits:
- name: 训练集(train)
num_bytes: 73601741
num_examples: 11073
download_size: 34426562
dataset_size: 73601741
configs:
- config_name: 默认配置(default)
data_files:
- split: 训练集
path: data/train-*
---
# "检索验证RoBERTa"数据集卡片
[需补充更多信息](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
nikchar
原始信息汇总
数据集概述
数据集信息
特征
- claim: 类型为字符串 (string)
- evidence_wiki_url: 类型为字符串 (string)
- text: 类型为字符串 (string)
- retrieved_evidence_title: 类型为字符串序列 (sequence: string)
- retrieved_evidence_text: 类型为字符串序列 (sequence: string)
- labels: 类型为64位整数 (int64)
- Retrieval_Success: 类型为布尔值 (bool)
- Predicted_Labels: 类型为64位整数 (int64)
- Predicted_Labels_Each_doc: 类型为64位整数序列 (sequence: int64)
数据分割
- train: 包含11073个样本,占用73601741字节
数据大小
- 下载大小: 34426562字节
- 数据集大小: 73601741字节
配置
- default: 包含训练数据文件,路径为
data/train-*



