SemanticExtraction/complex_pages_lang
收藏Hugging Face2024-07-31 更新2025-04-26 收录
下载链接:
https://hf-mirror.com/datasets/SemanticExtraction/complex_pages_lang
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资源简介:
---
dataset_info:
features:
- name: key
dtype: string
- name: image
dtype: image
- name: json
struct:
- name: images_bbox
sequence:
sequence: float64
- name: images_bbox_no_text_overlap
sequence:
sequence: float64
- name: lines
struct:
- name: bbox
sequence:
sequence: float64
- name: score
sequence: float64
- name: text
sequence: string
- name: word_slice
sequence:
sequence: int64
- name: words
struct:
- name: bbox
sequence:
sequence: float64
- name: line_pos
sequence:
sequence: int64
- name: score
sequence: float64
- name: text
sequence: string
- name: class
dtype: string
- name: predictions
dtype: string
- name: lang
dtype: string
splits:
- name: train
num_bytes: 17960270.0
num_examples: 136
download_size: 15069606
dataset_size: 17960270.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
数据集信息:
特征字段:
- 字段名:key,数据类型:字符串
- 字段名:image,数据类型:图像
- 字段名:json,为结构体类型,包含以下子字段:
- images_bbox:嵌套序列,内部元素为64位浮点型双精度(float64)数值
- images_bbox_no_text_overlap:嵌套序列,内部元素为64位浮点型双精度(float64)数值
- lines:结构体类型,包含以下子字段:
- bbox:嵌套序列,内部元素为64位浮点型双精度(float64)数值
- score:序列,内部元素为64位浮点型双精度(float64)数值
- text:序列,内部元素为字符串
- word_slice:嵌套序列,内部元素为64位整型(int64)数值
- words:结构体类型,包含以下子字段:
- bbox:嵌套序列,内部元素为64位浮点型双精度(float64)数值
- line_pos:嵌套序列,内部元素为64位整型(int64)数值
- score:序列,内部元素为64位浮点型双精度(float64)数值
- text:序列,内部元素为字符串
- 字段名:class,数据类型:字符串
- 字段名:predictions,数据类型:字符串
- 字段名:lang,数据类型:字符串
数据集划分:
- 划分集名称:train,字节数:17960270.0,样本数量:136
下载大小:15069606,数据集总大小:17960270.0
配置项:
- 配置名称:default,数据文件配置:
- 划分集:train,文件路径:data/train-*
提供机构:
SemanticExtraction


