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LLaVA-NeXT-wds

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  1. .nv-meta/.info.yaml +79 -0
  2. .nv-meta/dataset.yaml +5 -0
  3. .nv-meta/index.uuid +1 -0
  4. .nv-meta/sample_loader.py +30 -0
  5. .nv-meta/split.yaml +83 -0
  6. pretrain-0.tar.idx +3 -0
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  43. pretrain-71.tar +3 -0
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.nv-meta/.info.yaml ADDED
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+ shard_counts:
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.nv-meta/dataset.yaml ADDED
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+ sample_type:
2
+ __module__: aiak_training_llm.data.multimodal
3
+ __class__: MultiMixQASample
4
+ part_filter: sample_loader.py:part_filter
5
+ sample_loader: sample_loader.py:sample_loader
.nv-meta/index.uuid ADDED
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+ 4a0fc3fe-a655-4bd1-871c-ea8869f732c9
.nv-meta/sample_loader.py ADDED
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+ def sample_loader(sample: dict) -> dict:
2
+ messages=[]
3
+ system=None
4
+ for message in sample['json']['texts']:
5
+ assert message['role'] in ['system','user','assistant']
6
+ if message['role'] == 'system':
7
+ system=message['content']
8
+ continue
9
+ messages.append(dict(
10
+ role=message['role'],
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+ content=message['content']
12
+ ))
13
+ video = []
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+ image = []
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+ if sample['json']['media'] == 'video':
16
+ for name in sample['json']['name']:
17
+ video.append(sample.get(name))
18
+ elif sample['json']['media'] == 'image':
19
+ for name in sample['json']['name']:
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+ image.append(sample.get(name))
21
+ return dict(
22
+ __key__=sample['__key__'],
23
+ __restore_key__=sample['__restore_key__'],
24
+ video=video if len(video) > 0 else None,
25
+ image=image if len(image) > 0 else None,
26
+ system=system,
27
+ messages=messages,
28
+ )
29
+ def part_filter(part: str) -> bool:
30
+ return True
.nv-meta/split.yaml ADDED
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+ exclude: []
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+ split_parts:
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+ test: []
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+ train:
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+ - pretrain-51.tar
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+ - pretrain-52.tar
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+ - pretrain-56.tar
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+ - pretrain-16.tar
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