Upload folder using huggingface_hub

convert.py

@@ -0,0 +1,55 @@
+import json
+
+# Load the original JSON file
+with open('/home/yiyangai/stephenqs/datasets/mehrankazemi___re_mi/default/0.0.0/re_mi-test-02.json', 'r') as f:
+    data = json.load(f)
+
+# Function to convert the dataset
+def convert_format(data):
+    converted_data = []
+    for item in data:
+        new_item = {
+            "id": item["id"],
+            "image": None,
+            "conversations": [
+                {
+                    "from": "human",
+                    "content": []
+                },
+                {
+                    "from": "gpt",
+                    "content": [
+                        {
+                            "text": item["label"],
+                            "image": None
+                        }
+                    ]
+                }
+            ]
+        }
+
+        # Add the main question with the first image
+        new_item["conversations"][0]["content"].append({
+            "text": item["question"],
+            "image": item.get("image_1", None)
+        })
+
+        # If there are more images, add them with null text
+        for i in range(2, 7):
+            img_key = f"image_{i}"
+            if item.get(img_key):
+                new_item["conversations"][0]["content"].append({
+                    "text": None,
+                    "image": item[img_key]
+                })
+
+        converted_data.append(new_item)
+    
+    return converted_data
+
+# Convert the dataset
+converted_data = convert_format(data)
+
+# Save the converted data to a new JSON file
+with open('converted_dataset-02.json', 'w') as f:
+    json.dump(converted_data, f, indent=4)

default/0.0.0/0bfa8c66979923a58bcca667181def86fb98c22a/dataset_info.json

@@ -0,0 +1 @@
+{"description": "", "citation": "", "homepage": "", "license": "", "features": {"task": {"dtype": "string", "_type": "Value"}, "question": {"dtype": "string", "_type": "Value"}, "label": {"dtype": "string", "_type": "Value"}, "image_1": {"_type": "Image"}, "image_2": {"_type": "Image"}, "image_3": {"_type": "Image"}, "image_4": {"_type": "Image"}, "image_5": {"_type": "Image"}, "image_6": {"_type": "Image"}}, "builder_name": "parquet", "dataset_name": "re_mi", "config_name": "default", "version": {"version_str": "0.0.0", "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 5235786, "num_examples": 26, "dataset_name": "re_mi"}, "test": {"name": "test", "num_bytes": 574682912, "num_examples": 2600, "shard_lengths": [2300, 300], "dataset_name": "re_mi"}}, "download_checksums": {"hf://datasets/mehrankazemi/ReMI@0bfa8c66979923a58bcca667181def86fb98c22a/train.parquet": {"num_bytes": 5051820, "checksum": null}, "hf://datasets/mehrankazemi/ReMI@0bfa8c66979923a58bcca667181def86fb98c22a/test.parquet": {"num_bytes": 561472404, "checksum": null}}, "download_size": 566524224, "dataset_size": 579918698, "size_in_bytes": 1146442922}

default/0.0.0/0bfa8c66979923a58bcca667181def86fb98c22a/re_mi-test-00000-of-00002.arrow

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a5520e68e99559cab186014341a46890026c9b669d1488e6301fa8b605c3f585
+size 511992328

default/0.0.0/0bfa8c66979923a58bcca667181def86fb98c22a/re_mi-test-00001-of-00002.arrow

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1bdc688520db2bd8f91432646c6fd405956a581e15c13c99cc255d08335fadb2
+size 62732248

default/0.0.0/0bfa8c66979923a58bcca667181def86fb98c22a/re_mi-train.arrow

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2987d660c1ae0a609115d457bdc94c6c9b942fcea656c324c883df2b56ec1a9b
+size 5238680