Add dataset card

README.md

@@ -1,25 +1,58 @@
 ---
-dataset_info:
-  features:
-  - name: amino_acid_sequence
-    sequence: string
-  - name: length
-    dtype: int64
-  - name: c_alpha_coordinates
-    sequence:
-      sequence: float32
-  - name: distance_matrix
-    sequence:
-      sequence: float64
-  splits:
-  - name: train
-    num_bytes: 409754325
-    num_examples: 2992
-  download_size: 401898607
-  dataset_size: 409754325
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: mit
+task_categories:
+- text-generation
+- image-generation
+tags:
+- protein
+- contact-map
+- structure
+- nanobody
 ---
+
+# Protein Contact Map Dataset
+
+## Dataset Description
+
+This dataset contains protein structures with contact maps and related information from nanobody sequences.
+
+### Dataset Summary
+
+- **Number of proteins:** 2992
+- **Source:** Nanobody protein structures (nanos_networkx_small)
+- **Created by:** alexchilton
+- **Date:** 2025-05-04
+
+### Dataset Structure
+
+Each protein entry contains:
+- `amino_acid_sequence`: List of amino acid names
+- `length`: Number of residues
+- `c_alpha_coordinates`: List of [x,y,z] coordinates for C-alpha atoms
+- `distance_matrix`: Pairwise distance matrix between C-alpha atoms
+- `contact_maps`: List of binary contact maps with different distance thresholds
+- `contact_map_configs`: Configuration for each contact map (lower/upper bounds)
+
+### Usage
+
+```python
+from datasets import load_dataset
+dataset = load_dataset("alexchilton/nanobody-contact-maps")
+
+# Access a protein
+protein = dataset['train'][0]
+print(f"Length: {protein['length']}")
+print(f"First 10 residues: {protein['amino_acid_sequence'][:10]}")
+```
+
+### Citation
+
+If you use this dataset, please cite:
+```
+@dataset{protein_contact_maps,
+  title={Nanobody Protein Contact Map Dataset},
+  author={Alex Chilton},
+  year={2025},
+  url={https://huggingface.co/datasets/alexchilton/nanobody-contact-maps}
+}
+```