| --- |
| license: other |
| license_name: mixed-source |
| task_categories: [image-text-to-text, video-text-to-text] |
| tags: [multimodal, reasoning, sft, rl, distillation, mopd] |
| configs: |
| - config_name: sft_imgr |
| data_files: sft_v4/imgr/*.jsonl |
| - config_name: sft_imgp |
| data_files: sft_v4/imgp/*.jsonl |
| - config_name: sft_vid |
| data_files: sft_v4/vid/*.jsonl |
| - config_name: rl_imgr |
| data_files: rl_v2/imgr.parquet |
| - config_name: rl_imgp |
| data_files: rl_v2/imgp.parquet |
| - config_name: rl_vid |
| data_files: rl_v2/vid.parquet |
| --- |
| |
| # MOPD training data (SFT v4 + RL v2, full media) |
|
|
| The data that trains the MOPD domain teachers on Qwen3.5-9B: one SFT set and one RL prompt set per domain |
| (`imgr` image reasoning, `imgp` image perception, `vid` video). |
|
|
| | Split | Rows | Format | Media | |
| |---|---|---|---| |
| | `sft_v4/imgr` | 1,022,304 | chat jsonl (`messages`, `meta`) | images in `media/` | |
| | `sft_v4/imgp` | 1,456,403 | chat jsonl | images in `media/` | |
| | `sft_v4/vid` | 710,735 | chat jsonl | videos in `media/` | |
| | `rl_v2/imgr` | 64,307 | verl parquet (`prompt`, `images`, `reward_model.ground_truth`, `extra_info`) | images embedded (bytes) | |
| | `rl_v2/imgp` | 67,915 | verl parquet | images embedded (bytes) | |
| | `rl_v2/vid` | 60,805 | verl parquet | videos in `media/` | |
|
|
| **SFT rows**: single-turn multimodal questions pooled from public datasets; the assistant turn is a reasoning trace |
| (`<think>...</think>` + answer, final answer in `\boxed{}`) written by Qwen3.8-Flash-Next with the gold answer given, |
| then filtered by agreement with the gold. `meta` keeps the source card, task type and generator. |
| **RL rows**: prompts with a rule-checkable gold answer (`reward_model.ground_truth`, `extra_info.task_type`), decontaminated |
| against our eval benchmarks. |
|
|
| ## Media |
|
|
| 65 store-only zip shards in `media_zips/` (523 GB). Unzip all at the repo root: |
|
|
| ```bash |
| huggingface-cli download ngqtrung/mopd-data --repo-type dataset --local-dir mopd-data |
| cd mopd-data && for z in media_zips/*.zip; do unzip -q -n "$z"; done # -> media/<group>/... |
| ``` |
| Every media path in the rows is relative to the repo root (`media/...`). `media_index.tsv` lists path, bytes and shard. |
| Media processing used in training: images 65,536-1,605,632 px; videos 1 fps, 4-150 frames, ≤ 65,536 px per frame. |
|
|
| ## Sources and license |
|
|
| The questions and media come from public datasets (e.g. LLaVA-Video-178K, FineVideo, Vript, VideoRFT, LLaVA-OneVision, |
| and others listed in `meta.card_id`). Each source keeps its own license; check it before use. The reasoning traces are |
| model-generated. Released for research. |
|
|
