Reinitializing and uploading files to Hugging Face repository

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
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+*.joblib filter=lfs diff=lfs merge=lfs -text
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+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text
+*.json filter=lfs diff=lfs merge=lfs -text

MME-RealWorld-Base64.py

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+import json
+import os
+from datasets import Dataset, DatasetDict, Features, Value, Sequence
+
+def load_json_lines(file_path):
+    with open(file_path, 'r') as f:
+        for line in f:
+            yield json.loads(line)
+
+def _generate_examples(chunk_files):
+    for file in chunk_files:
+        for example in load_json_lines(file):
+            yield example['Question_id'], example
+
+def load_dataset(*args, **kwargs):
+    dataset_dir = kwargs['data_dir']  # The directory containing JSON chunks
+    chunk_files = [os.path.join(dataset_dir, f) for f in os.listdir(dataset_dir) if f.endswith('.json')]
+    features = Features({
+        'index': Value(dtype='string'),
+        'image': Value(dtype='string'),
+        'question': Value(dtype='string'),
+        'multi-choice options': Sequence(Value(dtype='string')),
+        'answer': Value(dtype='string'),
+        'category': Value(dtype='string'),
+        'l2-category': Value(dtype='string'),
+    })
+    dataset = DatasetDict({
+        'train': Dataset.from_generator(lambda: _generate_examples(chunk_files), features=features)
+    })
+    return dataset

MME-RealWorld-CN/MME_RealWorld_CN_base64_0.json

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MME-RealWorld-CN/MME_RealWorld_CN_base64_1.json

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MME-RealWorld/MME_RealWorld_base64_0.json

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README.md

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+# MME-RealWorld Dataset
+
+This dataset contains multiple JSON files split into chunks. It includes information such as questions, images encoded in base64, and other related metadata.
+
+## Usage
+
+You can load the dataset using the `datasets` library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset('yifanzhang114/MME-RealWorld-Base64', data_dir='MME-RealWorld')
+dataset = load_dataset('yifanzhang114/MME-RealWorld-Base64', data_dir='MME-RealWorld-CN')
+
+## the image can be decoded by 
+
+def decode_base64_to_image(base64_string, target_size=-1):
+    image_data = base64.b64decode(base64_string)
+    image = Image.open(io.BytesIO(image_data))
+    if image.mode in ('RGBA', 'P'):
+        image = image.convert('RGB')
+    if target_size > 0:
+        image.thumbnail((target_size, target_size))
+    return image
+
+```

dataset_info.json

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