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README.md CHANGED
@@ -9,15 +9,66 @@ tags:
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  - text
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  - multimodal
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  - vision-language
 
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  - datasets
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # llava-cot-48k-reannotated
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- This dataset packages the full 47,905-row relabeled multimodal split for Speculators training and testing.
 
 
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  - rows: 47905
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- - source: LLaVA-CoT-100k_relabel.vl.min10.jsonl
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- - layout: train.jsonl plus image assets under images/
 
 
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- Each row keeps conversation-style supervision and points to the corresponding image under images/.
 
 
 
 
 
 
 
 
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  - text
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  - multimodal
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  - vision-language
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+ - parquet
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  - datasets
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*.parquet
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+ dataset_info:
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: image
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+ dtype: image
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+ - name: image_path
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+ dtype: string
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+ - name: conversations
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+ list:
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+ - name: role
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+ dtype: string
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+ - name: content
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+ list:
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+ - name: type
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+ dtype: string
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+ - name: image
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+ dtype: string
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+ - name: text
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+ dtype: string
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+ - name: relabel_meta
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+ struct:
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+ - name: source_sample_id
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+ dtype: string
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+ - name: source_line_index
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+ dtype: int64
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+ - name: relabel_model
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+ dtype: string
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+ - name: relabel_max_tokens
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+ dtype: int64
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+ - name: generated_at_utc
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+ dtype: string
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+ - name: assistant_turns_rewritten
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+ dtype: int64
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  ---
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  # llava-cot-48k-reannotated
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+ This is a Parquet-native repack of the previous JSONL + image-file layout.
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+ Images are embedded directly in the `image` column as bytes, and the original
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+ relative path is preserved in `image_path`.
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  - rows: 47905
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+ - unique image files in source folder: 38930
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+ - parquet shards: 20
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+ - source: 47,905 filtered rows from LLaVA-CoT-100k_relabel.vl.min10.jsonl
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+ - layout: `data/train-*.parquet`
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+ Each row keeps the original conversation-style supervision and relabel metadata.
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("hao05/llava-cot-48k-reannotated", split="train")
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+ sample = ds[0]
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+ ```
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