Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -12,7 +12,10 @@ size_categories:
|
|
| 12 |
- 1M<n<10M
|
| 13 |
---
|
| 14 |
# UniMER Dataset
|
| 15 |
-
|
|
|
|
|
|
|
|
|
|
| 16 |
The UniMER dataset is a specialized collection curated to advance the field of Mathematical Expression Recognition (MER). It encompasses the comprehensive UniMER-1M training set, featuring over one million instances that represent a diverse and intricate range of mathematical expressions, coupled with the UniMER Test Set, meticulously designed to benchmark MER models against real-world scenarios. The dataset details are as follows:
|
| 17 |
|
| 18 |
- **UniMER-1M Training Set:**
|
|
@@ -74,7 +77,10 @@ We would like to express our gratitude to the creators of the [Pix2tex](https://
|
|
| 74 |
---
|
| 75 |
|
| 76 |
# UniMER 数据集
|
| 77 |
-
|
|
|
|
|
|
|
|
|
|
| 78 |
UniMER数据集是专门为通用数学表达式识别(MER)发布的数据集。它包含了真实全面的UniMER-1M训练集,拥有超过一百万个代表广泛和复杂数学表达式的实例,以及精心设计的UniMER测试集,用于在真实世界场景中评估MER模型。数据集详情如下:
|
| 79 |
|
| 80 |
- **UniMER-1M 训练集:**
|
|
|
|
| 12 |
- 1M<n<10M
|
| 13 |
---
|
| 14 |
# UniMER Dataset
|
| 15 |
+
|
| 16 |
+
For detailed instructions on using the dataset, please refer to the project homepage: [UniMERNet Homepage](https://github.com/opendatalab/UniMERNet/tree/main)
|
| 17 |
+
|
| 18 |
+
## Introduction
|
| 19 |
The UniMER dataset is a specialized collection curated to advance the field of Mathematical Expression Recognition (MER). It encompasses the comprehensive UniMER-1M training set, featuring over one million instances that represent a diverse and intricate range of mathematical expressions, coupled with the UniMER Test Set, meticulously designed to benchmark MER models against real-world scenarios. The dataset details are as follows:
|
| 20 |
|
| 21 |
- **UniMER-1M Training Set:**
|
|
|
|
| 77 |
---
|
| 78 |
|
| 79 |
# UniMER 数据集
|
| 80 |
+
|
| 81 |
+
数据集使用详细说明请参考项目主页:[UniMERNet 主页](https://github.com/opendatalab/UniMERNet/tree/main)
|
| 82 |
+
|
| 83 |
+
## 简介
|
| 84 |
UniMER数据集是专门为通用数学表达式识别(MER)发布的数据集。它包含了真实全面的UniMER-1M训练集,拥有超过一百万个代表广泛和复杂数学表达式的实例,以及精心设计的UniMER测试集,用于在真实世界场景中评估MER模型。数据集详情如下:
|
| 85 |
|
| 86 |
- **UniMER-1M 训练集:**
|