Update README.md

README.md

@@ -33,6 +33,43 @@ configs:
   - split: val
     path: data/val-*
 ---
-# Dataset Card for "MathWriting-human"
+# Dataset Card for MathWriting
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## Dataset Summary
+
+The **MathWriting** dataset contains online handwritten mathematical expressions collected through a prompted interface and rendered to RGB images. It consists of **230,000 human-written expressions**, each paired with its corresponding LaTeX string. The dataset is intended to support research in **online and offline handwritten mathematical expression (HME) recognition**.
+
+Key features:
+
+- Online handwriting converted to rendered RGB images.
+- Each sample is labeled with a LaTeX expression.
+- Includes splits: `train`, `val`, and `test`.
+- All samples in this release are **human-written** (no synthetic data).
+- Image preprocessing includes resizing (max dimension ≤ 512 px), stroke width jitter, and subtle color perturbations.
+
+---
+
+## Supported Tasks and Leaderboards
+
+**Primary Task:**  
+- *Handwritten Mathematical Expression Recognition (HMER)*: Given an image of a handwritten formula, predict its LaTeX representation.
+
+This dataset is also suitable for:
+- Offline HME recognition (from rendered images).
+- Sequence modeling and encoder-decoder learning.
+- Symbol layout analysis and parsing in math.
+
+---
+
+## Dataset Structure
+
+Each example has the following structure:
+
+```python
+{
+    'image': <PIL.Image.Image in RGB mode>,
+    'latex': str,  # the latex string"
+    'sample_id': str,  # unique identifier
+    'split_tag': str,  # "train", "val", or "test"
+    'data_type': str,  # always "human" in this version
+}