Upload prepare_data.py

prepare_data.py

@@ -0,0 +1,22 @@
+from datasets import load_dataset
+import json
+import os
+from huggingface_hub import create_repo, upload_file
+
+dataset = load_dataset("banking77")
+id2label = dataset['train'].features['label'].names
+
+repo_name = "banking77"
+create_repo(repo_name, organization="mteb", repo_type="dataset")
+for split in ['train', 'test']:
+    savepath = f'{os.path.dirname(__file__)}/{split}.jsonl'
+    with open(savepath, 'w') as fOut:
+        rows = list(dataset[split])
+        if split == 'test' and 'validation' in dataset:
+            rows += list(dataset['validation'])
+            
+        for id, row in rows:
+            fOut.write(json.dumps({'text': row['text'], 'label': row['label'], 'label_text': id2label[row['label']]})+"\n")
+    
+    upload_file(savepath, path_in_repo=f"{split}.jsonl", repo_id="mteb/" + repo_name, repo_type="dataset")
+    os.system(f"rm {savepath}")