Update README.md

README.md

@@ -1,3 +1,39 @@
----
-license: mit
----
+---
+license: mit
+task_categories:
+- table-question-answering
+language:
+- en
+tags:
+- OCR
+- Tables
+- IDP
+size_categories:
+- n<1K
+---
+
+This dataset is generated syhthetically to create tables with following characteristics:
+1. Empty cell percentage in following range [40,70] (Sparse)
+2. There is no seperator between rows and columns (un-structured).
+3. 4 <= num rows <= 10, 2 <= num columns <= 6 (Small)
+
+### Load the dataset
+
+```python
+import io
+import pandas as pd
+from PIL import Image
+
+def bytes_to_image(self, image_bytes: bytes):
+  return Image.open(io.BytesIO(image_bytes))
+
+def parse_annotations(self, annotations: str) -> pd.DataFrame:
+  return pd.read_json(StringIO(annotations), orient="records")
+
+test_data = load_dataset('nanonets/small_sparse_unstructured_table', split='test')
+data_point = test_data[0]
+image, gt_table = (
+    bytes_to_image(data_point["images"]),
+    parse_annotations(data_point["annotation"]),
+)
+```