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.nv-meta/.info.yaml

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+shard_counts:
+  pretrain-000000.tar: 5034
+  pretrain-000001.tar: 5036
+  pretrain-000002.tar: 5039
+  pretrain-000003.tar: 5058
+  pretrain-000004.tar: 3821

.nv-meta/dataset.yaml

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+sample_type:
+  __module__: aiak_training_llm.data.multimodal
+  __class__: PackedCaptioningSample
+part_filter: sample_loader.py:part_filter
+sample_loader: sample_loader.py:sample_loader

.nv-meta/sample_loader.py

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+def sample_loader(sample: dict) -> dict:
+    data = sample['json']
+    images = [sample.get(f'img{i}.jpg') for i in range(len(data['images']))]
+    captions = data['captions'] 
+    prompts = data['prompts']
+    return dict(
+        __key__=sample['__key__'],
+        __restore_key__=sample['__restore_key__'],
+        captions=captions,
+        prompts=prompts,
+        images=images,
+    )
+def part_filter(part: str) -> bool:
+    return True

.nv-meta/split.yaml

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+exclude: []
+split_parts:
+  test: []
+  train:
+  - pretrain-000003.tar
+  - pretrain-000001.tar
+  - pretrain-000002.tar
+  - pretrain-000004.tar
+  - pretrain-000000.tar
+  val: []