[docs] docs: add offline packing attribution

docs/source/features/offline_data_packing.md

@@ -116,3 +116,30 @@ Step 1’s token counts depend on the actual `AutoProcessor` logic, so you can c
 * Adjust image-token budget / resolution: add processor-supported arguments under `model.processor_kwargs` (e.g. Qwen-VL’s `min_pixels`/`max_pixels`).  
 * Template alignment: if you add a new `model.model_type`, make sure `tools/data_preprocess/vlm/offline_packing/utils.py` contains the corresponding entry in `TEMPLATES[sample_type][model_type]`; otherwise Step 1 will raise “No template found for model_type ...”.  
 * Media pre-processing: under `media_preprocess` you can assign pre-processing function names per modality (implementations in `tools/data_preprocess/vlm/offline_packing/media_preprocess_utils.py`) to control resize/crop/frame-reading behaviour.
+
+## Acknowledgements
+
+The WDS-native offline packing workflow in LoongForge is based on the multimodal
+offline packing framework originally developed for LLaVA-OneVision-1.5 and later
+migrated and upgraded for LLaVA-OneVision-2.
+
+LoongForge previously collaborated with the LLaVA-OneVision work. Some historical
+repository or package names may still use the older `aiak-*` naming, while the
+current LoongForge repository has migrated and adapted part of the
+LLaVA-OneVision offline packing capabilities.
+
+Upstream references:
+
+- LLaVA-OneVision-1.5 offline packing:
+  https://github.com/fdcp/LLaVA-OneVision-1.5/tree/main/tools/data_preprocess/offline_packing
+- LLaVA-OneVision-1.5 offline packing examples:
+  https://github.com/fdcp/LLaVA-OneVision-1.5/tree/main/examples_offline_packing
+- LLaVA-OneVision-2 offline packing:
+  https://github.com/EvolvingLMMs-Lab/LLaVA-OneVision-2/tree/main/offline_packing
+- LLaVA-OneVision-2 sample packing scripts:
+  https://github.com/EvolvingLMMs-Lab/LLaVA-OneVision-2/tree/main/examples/llava_onevision1_5/sample_packing
+
+LoongForge refactors this workflow for native WebDataset tar-shard input,
+manifest/SQLite-based sample indexing, media-type-specific packing, pack-plan
+generation, tar byte-offset based WebDataset writing, and runtime handling for
+packed text/image/video samples.

tools/data_preprocess/vlm/offline_packing/README.md

@@ -190,3 +190,30 @@ Implementation notes:
 - Packed WDS JSON contains `_meta.pack_id`, `_meta.sample_ids`,
   `_meta.token_lens`, and `_meta.total_token_len` so a written packed sample can
   be audited without joining back to `pack_plan.jsonl`.
+
+## Acknowledgements
+
+The WDS-native offline packing workflow in LoongForge is based on the multimodal
+offline packing framework originally developed for LLaVA-OneVision-1.5 and later
+migrated and upgraded for LLaVA-OneVision-2.
+
+LoongForge previously collaborated with the LLaVA-OneVision work. Some historical
+repository or package names may still use the older `aiak-*` naming, while the
+current LoongForge repository has migrated and adapted part of the
+LLaVA-OneVision offline packing capabilities.
+
+Upstream references:
+
+- LLaVA-OneVision-1.5 offline packing:
+  https://github.com/fdcp/LLaVA-OneVision-1.5/tree/main/tools/data_preprocess/offline_packing
+- LLaVA-OneVision-1.5 offline packing examples:
+  https://github.com/fdcp/LLaVA-OneVision-1.5/tree/main/examples_offline_packing
+- LLaVA-OneVision-2 offline packing:
+  https://github.com/EvolvingLMMs-Lab/LLaVA-OneVision-2/tree/main/offline_packing
+- LLaVA-OneVision-2 sample packing scripts:
+  https://github.com/EvolvingLMMs-Lab/LLaVA-OneVision-2/tree/main/examples/llava_onevision1_5/sample_packing
+
+LoongForge refactors this workflow for native WebDataset tar-shard input,
+manifest/SQLite-based sample indexing, media-type-specific packing, pack-plan
+generation, tar byte-offset based WebDataset writing, and runtime handling for
+packed text/image/video samples.