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README.md

@@ -1,39 +1,55 @@
 ---
-dataset_info:
-  features:
-  - name: seq_id_a
-    dtype: string
-  - name: seq_id_b
-    dtype: string
-  - name: seq_type_a
-    dtype: string
-  - name: seq_type_b
-    dtype: string
-  - name: seq_a
-    dtype: string
-  - name: seq_b
-    dtype: string
-  - name: label_index
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 10564360
-    num_examples: 4645
-  - name: val
-    num_bytes: 1318190
-    num_examples: 581
-  - name: test
-    num_bytes: 1326418
-    num_examples: 581
-  download_size: 814170
-  dataset_size: 13208968
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: val
-    path: data/val-*
-  - split: test
-    path: data/test-*
+dataset: vladak/InfA
+language:
+  - en
+task_categories:
+  - text-classification
+task_ids:
+  - multi-input-text-classification
+pretty_name: InfA Dataset
+tags:
+  - LUCAONE
+  - Bioinformatics
+  - Protein
+  - Gene
+  - RNA
+  - Interaction
 ---
+
+# Dataset Card for InfA
+
+## Summary
+
+The `InfA` dataset is part of the LUCAONE downstream tasks collection for biomolecular interaction prediction. It is structured for binary classification and includes standard splits for training (`train.csv`), validation (`dev.csv` → `val`), and test (`test.csv`).
+
+## Dataset Structure
+
+This dataset includes three splits:
+
+- `train`
+- `val` (converted from `dev.csv`)
+- `test`
+
+Each split is in CSV format.
+
+## Task
+
+Binary classification of interactions between biomolecular entities.
+
+## Source Path
+
+Original download path:
+http://47.93.21.181/lucaone/DownstreamTasksDataset/dataset/InfA/gene_gene/binary_class/
+
+## Example Use
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("vladak/InfA")
+print(ds["train"][0])
+```
+
+## License
+Please refer to the LUCAONE repository or contact the authors for licensing terms.
+https://www.biorxiv.org/content/10.1101/2024.05.10.592927v1.full.pdf