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README.md

@@ -1,35 +1,36 @@
 ---
-dataset_info:
-  features:
-  - name: batch_id
-    dtype: int64
-  - name: table_id
-    dtype: int64
-  - name: reconstruction_id
-    dtype: int64
-  - name: graph_data
-    dtype: string
-  - name: column_names
-    dtype: string
-  - name: num_nodes
-    dtype: int64
-  - name: num_edges
-    dtype: int64
-  - name: serialization
-    dtype: string
-  - name: original_size
-    dtype: int64
-  - name: serialized_size
-    dtype: int64
-  splits:
-  - name: part_0
-    num_bytes: 466060
-    num_examples: 56
-  download_size: 110841
-  dataset_size: 466060
-configs:
-- config_name: default
-  data_files:
-  - split: part_0
-    path: data/part_0-*
+license: mit
+source_datasets: [approximatelabs/tablib-v1-sample]
+task_categories:
+- tabular-to-graph
+- graph-learning
+- network-analysis
+language:
+- en
 ---
+
+# GraphTab Sample Dataset
+
+This dataset contains tables from `approximatelabs/tablib-v1-sample` processed into graph representations.
+
+
+## Usage
+
+```python
+from datasets import load_dataset
+import graphtab
+
+# Load the dataset
+dataset = load_dataset("{full_repo_id}")
+
+# Access a graph
+graph_data = dataset['test'][0]
+
+# Deserialize it
+graph = graphtab.deserialize_graph(graph_data['graph_data'], graph_data['serialization'])
+```
+
+## Citation
+
+If you use this dataset, please cite both the original dataset and GraphTab.
+