Datasets:
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- README.md +24 -118
- data/{test/images/0aNtiNtRRLqEZ9y6PuShtAAAACMAAQED.jpg → big_table_dataset.zip} +2 -2
- data/{test/images/000cce9ca593055d4618466e823e6d7c.jpg → test.zip} +2 -2
- data/test/images/116d6b07ecfdae7721bd6bbf31031c1a.jpg +0 -3
- data/test/images/18bc90cb646c109d22ba44565b9a58bc3095e6d3.jpg +0 -3
- data/test/images/1e7d7fed671a9f9043edd57874ef1b13587afa8d.jpg +0 -3
- data/test/images/20200211182342519549-0.jpg +0 -3
- data/test/images/6a8f24150a396470ab29a5ff29aa959dfe7f1c57.jpg +0 -3
- data/test/images/Snipaste_2023-07-05_14-54-25.jpg +0 -3
- data/test/images/Snipaste_2023-07-05_14-54-58.jpg +0 -3
- data/test/images/Snipaste_2023-07-05_14-58-59.jpg +0 -3
- data/test/images/Snipaste_2023-07-05_15-00-55.jpg +0 -3
- data/test/images/border_11948_QYXTZU69L2LHSBX9GNIM.jpg +0 -3
- data/test/images/border_13828_O0ZK4ER72NFRJV7OLVE4.jpg +0 -3
- data/test/images/border_15478_BDVCAKQIO588CG11N4T4.jpg +0 -3
- data/test/images/border_19551_56CA675FMRPJRUFHJ4WH.jpg +0 -3
- data/test/images/border_6777_9BW29HHOQ6T46BJZ8RQP.jpg +0 -3
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- data/test/images/border_bottom_1182_MQQQ5LGL4IC3RRBXZQ6C.jpg +0 -3
- data/test/images/border_bottom_3345_LGYG3FEUGZAAOR1DMGIP.jpg +0 -3
- data/test/images/border_bottom_4600_U03AY5OMVSG8G5D0LP6M.jpg +0 -3
- data/test/images/border_left_13094_ZINLPQFT6HUZGJTA44CS.jpg +0 -3
- data/test/images/border_left_15685_EG6GJBXYV22FZHYCP3ZP.jpg +0 -3
- data/test/images/border_left_3906_BELM9E86S6JDB257CQ01.jpg +0 -3
- data/test/images/border_left_7267_OEJGHZF525Q011X2ZC34.jpg +0 -3
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- data/test/images/border_right_18721_I0FZST4JNTG713PP3WPR.jpg +0 -3
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- data/test/images/border_top_10179_9EAR6FE4QIR00RFQ604P.jpg +0 -3
- data/test/images/border_top_15572_1CFDQWT8HN8KVD7WHG8Z.jpg +0 -3
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README.md
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## 表格识别测试集
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### 数据集简介
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该数据集
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该数据集可以结合 [表格指标评测库-TableRecognitionMetric](https://github.com/SWHL/TableRecognitionMetric) 使用,快速评测各种表格还原算法。
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**关于该数据集,欢迎小伙伴贡献更多数据呦!有任何想法,可以前往 [issue](https://github.com/SWHL/TableRecognitionMetric/issues)讨论。**
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如果遇到标注有误的,还请指出。
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### 数据集支持的任务
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可用于自定义数据集下的模型验证和性能评估等。
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### 数据集的格式和结构
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#### 数据格式
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数据集只有测试集,仅用于客观评估算法表现。
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```text
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data
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└── test
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├──
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│ ├── border_right_18721_I0FZST4JNTG713PP3WPR.jpg
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│ ├── border_right_9183_R2DJDF0YL7UIGTAUQ2EA.jpg
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│ ├── border_top_10179_9EAR6FE4QIR00RFQ604P.jpg
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│ ├── border_top_15572_1CFDQWT8HN8KVD7WHG8Z.jpg
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│ ├── head_border_bottom_10698_RYMTL9PWBU3LLYTHA7NW.jpg
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│ ├── head_border_bottom_14838_WKZB7Q8DY12U2WY4X09W.jpg
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│ ├── head_border_bottom_17143_NUBWE6HZ14HTQUDTBJDO.jpg
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│ ├── head_border_bottom_17535_SLPT5HXWD78B2AXOI9P0.jpg
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│ ├── head_border_bottom_3778_65T0CL1NK5VAMJU81K4S.jpg
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│ ├── head_border_bottom_5548_G71EZ6OI7AV4C8GDF4DC.jpg
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│ ├── head_border_bottom_7554_A0N9QEP1AF14FMVHAREW.jpg
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│ ├── head_border_bottom_9221_L9WQDGBZX07J2BHYLGP4.jpg
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│ ├── head_border_bottom_9805_HRDZYADKAX7HS6MTL6WB.jpg
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│ ├── head_border_bottom_9899_W8643P1NZBLRVGMBC2QY.jpg
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│ ├── no_border_10609_B634UBHXFPZTDGUVKSKA.jpg
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│ ├── no_border_11657_S300SA8ZGXSUSW52TC3I.jpg
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│ ├── no_border_12108_O17B1F93WT2K9SYR9VC4.jpg
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│ ├── no_border_16574_YVRLF36BP84H1BAAXDFB.jpg
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│ ├── no_border_17231_CVWKAPEKL9ZDD0H9I17W.jpg
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│ └── no_border_18153_9WOYIKPC4BA2U9AXEG4P.jpg
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└── metadata.jsonl
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```
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如果想可视化表格,可以在原有 HTML 中添加样式:
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```html
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<html>
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<head>
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<meta charset="UTF-8" />
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<title>Complex Table Example</title>
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<style>
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table {
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border-collapse: collapse;
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width: 100%;
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}
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th,
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td {
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border: 1px solid black;
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padding: 8px;
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text-align: center;
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}
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th {
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background-color: #f2f2f2;
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}
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</style>
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</head>
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<body>
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<table>
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<tbody>
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<tr>
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<td>标段(包)编号</td>
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<td>标段(包)名称</td>
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<td>中标 单位</td>
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<td>项目 经理</td>
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<td>中标价 (下浮率/费 率)</td>
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<td>工期 (天)</td>
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<td>合同签订时</td>
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</tr>
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<tr>
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<td rowspan="\"3\"">A330481062000048800 1001</td>
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<td rowspan="\"3\"">新昌县水利水电 局2023-2024年度 小额(水利)工</td>
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<td>浙江前卫建设有限 公司</td>
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<td>王永平</td>
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<td rowspan="\"3\"">10. 41%</td>
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<td rowspan="\"3\"">合同签订之 日起至2024 年12��31 日,具体项 目及工期按 每个项目施 工合同中确</td>
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<td rowspan="\"3\"">2023年4月1 2日</td>
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</tr>
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<tr>
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<td>新昌县佳泰市政园 林建设有限公司</td>
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<td>梁卫凤</td>
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</tr>
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<tr>
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<td>杭州华聚环境建设 有限公司</td>
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<td>胡浙明</td>
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</tr>
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</tbody>
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</table>
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</body>
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</html>
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```
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#### 数据集加载方式
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```python
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from datasets import load_dataset
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dataset = load_dataset("SWHL/table_rec_test_dataset")
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test_data = dataset[
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print(test_data)
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print(test_data[0]['html'])
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test_data[0]['image'].show()
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```
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### 数据集生成的相关信息
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#### 原始数据
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数据来源于网络,如侵删。
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#### 数据集标注
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数据集标注为 html 格式,示例如下:
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```text
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<html><body><table><tr><td colspan="2">Textln让机器像人类一样理解文字</td></tr><tr><td>Textln产品</td><td>产品描述</td></tr><tr><td>TextinServerAPI文字识别产品</td><td>通用文本识别、表格识别、卡证识别、票据识别、定制识别等识别产品</td></tr><tr><td>TextinMobileSDK图像处理与文字识别SDK</td><td>图像处理,文本、卡证、票据识别和信息提取移动端SDK</td></tr><tr><td>TextlnStudio文字识别训练平台</td><td>OCR自定义模版配置和机器学习训练平台</td></tr><tr><td>Textin企业A/管理平台</td><td>企业AI接入监控统计和渠道业务管理平台</td></tr><tr><td>Textin财报机器人</td><td>财务报表智能分类、识别、提取、匹配、试算产品</td></tr><tr><td>Textin合同比对机器人</td><td>合同多版本差异智能比对产品</td></tr><tr><td>Textin解决方案</td><td>结合客户业务场景和TextIn能力的场景解决方案</td></tr></table></body></html>
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```
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## 表格识别测试集
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### 数据集简介
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+
- 包含百度生成工具 20张有线20张无线,wtw数据集15, pubnet val集20张,自我零散标注18张,共计93张表格图片,涵盖多种场景、不同光照条件、不同的图像分辨率。
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- 该数据集可以结合[表格指标评测库-TableRecognitionMetric](https://github.com/SWHL/TableRecognitionMetric)使用,快速评测各种表格还原算法。
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+
- **关于该数据集,欢迎小伙伴贡献更多数据呦!有任何想法,可以前往[issue](https://github.com/SWHL/TableRecognitionMetric/issues)讨论。**
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### 数据集支持的任务
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可用于自定义数据集下的模型验证和性能评估等。
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### 数据集的格式和结构
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#### 数据格式
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数据集只有测试集,仅用于客观评估算法表现。
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```text
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data
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└── test
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├── 000cce9ca593055d4618466e823e6d7c.jpg
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├── 0aNtiNtRRLqEZ9y6PuShtAAAACMAAQED.jpg
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├── 116d6b07ecfdae7721bd6bbf31031c1a.jpg
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├── 18bc90cb646c109d22ba44565b9a58bc3095e6d3.jpg
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├── 1e7d7fed671a9f9043edd57874ef1b13587afa8d.jpg
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├── 20200211182342519549-0.jpg
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├── 6a8f24150a396470ab29a5ff29aa959dfe7f1c57.jpg
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├── Snipaste_2023-07-05_14-54-25.jpg
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├── Snipaste_2023-07-05_14-54-58.jpg
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├── Snipaste_2023-07-05_14-58-59.jpg
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├── Snipaste_2023-07-05_15-00-55.jpg
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├── metadata.jsonl
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├── row_span.jpg
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├── table2.jpg
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├── table3.jpg
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├── table4.jpg
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├── table6.jpg
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├── table7.jpg
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└── table_recognition.jpg
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```
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#### 数据集加载方式
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```python
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from datasets import load_dataset
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dataset = load_dataset("SWHL/table_rec_test_dataset")
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test_data = dataset['test']
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print(test_data)
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```
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### 数据集生成的相关信息
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#### 原始数据
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数据来源于网络,如侵删。
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#### 数据集标注
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数据集标注为html格式,示例如下:
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```text
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<html><body><table><tr><td colspan="2">Textln让机器像人类一样理解文字</td></tr><tr><td>Textln产品</td><td>产品描述</td></tr><tr><td>TextinServerAPI文字识别产品</td><td>通用文本识别、表格识别、卡证识别、票据识别、定制识别等识别产品</td></tr><tr><td>TextinMobileSDK图像处理与文字识别SDK</td><td>图像处理,文本、卡证、票据识别和信息提取移动端SDK</td></tr><tr><td>TextlnStudio文字识别训练平台</td><td>OCR自定义模版配置和机器学习训练平台</td></tr><tr><td>Textin企业A/管理平台</td><td>企业AI接入监控统计和渠道业务管理平台</td></tr><tr><td>Textin财报机器人</td><td>财务报表智能分类、识别、提取、匹配、试算产品</td></tr><tr><td>Textin合同比对机器人</td><td>合同多版本差异智能比对产品</td></tr><tr><td>Textin解决方案</td><td>结合客户业务场景和TextIn能力的场景解决方案</td></tr></table></body></html>
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```
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data/{test/images/0aNtiNtRRLqEZ9y6PuShtAAAACMAAQED.jpg → big_table_dataset.zip}
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