Datasets:

wanderkid
/

UniMER_Dataset

@@ -19,7 +19,7 @@ For detailed instructions on using the dataset, please refer to the project home
 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:
 - **UniMER-1M Training Set:**
-  - Total Samples: 1,061,791 Latex-Image pairs
   - Composition: A balanced mix of concise and complex, extended formula expressions
   - Aim: To train robust, high-accuracy MER models, enhancing recognition precision and generalization
@@ -84,7 +84,7 @@ We would like to express our gratitude to the creators of the [Pix2tex](https://
 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：
 - **UniMER-1M 训练集：**
-  - 总样本数：1,061,791
   - 组成：简洁与复杂、扩展公式表达式的平衡融合
   - 目标：帮助训练鲁棒性强、高精度的MER模型，增强识别准确性和模型泛化能力
@@ -134,4 +134,4 @@ UniMER数据集是专门为通用数学表达式识别（MER）发布的数据
     howpublished = {\url{https://opendatalab.com}},
     year={2022}
 }
-```

 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:
 - **UniMER-1M Training Set:**
+  - Total Samples: 1,060,625 Latex-Image pairs
   - Composition: A balanced mix of concise and complex, extended formula expressions
   - Aim: To train robust, high-accuracy MER models, enhancing recognition precision and generalization
 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：
 - **UniMER-1M 训练集：**
+  - 总样本数：1,060,625
   - 组成：简洁与复杂、扩展公式表达式的平衡融合
   - 目标：帮助训练鲁棒性强、高精度的MER模型，增强识别准确性和模型泛化能力
     howpublished = {\url{https://opendatalab.com}},
     year={2022}
 }
+```

UniMER-1M.zip CHANGED Viewed

@@ -1,3 +1,3 @@
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