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| language: | |
| - en | |
| tags: | |
| - multimodal | |
| - instruction-tuning | |
| - genllava | |
| configs: | |
| - config_name: default | |
| default: true | |
| data_files: | |
| - split: train | |
| path: data/*/*.parquet | |
| - config_name: llava_text | |
| data_files: | |
| - split: train | |
| path: data/llava_text/*.parquet | |
| - config_name: llava_understanding | |
| data_files: | |
| - split: train | |
| path: data/llava_understanding/*.parquet | |
| - config_name: lvis | |
| data_files: | |
| - split: train | |
| path: data/lvis/*.parquet | |
| - config_name: editing | |
| data_files: | |
| - split: train | |
| path: data/editing/*.parquet | |
| - config_name: generation | |
| data_files: | |
| - split: train | |
| path: data/generation/*.parquet | |
| - config_name: lrv | |
| data_files: | |
| - split: train | |
| path: data/lrv/*.parquet | |
| - config_name: laion_gpt4v | |
| data_files: | |
| - split: train | |
| path: data/laion_gpt4v/*.parquet | |
| - config_name: sharegpt4v | |
| data_files: | |
| - split: train | |
| path: data/sharegpt4v/*.parquet | |
| - config_name: docvqa | |
| data_files: | |
| - split: train | |
| path: data/docvqa/*.parquet | |
| - config_name: synthdog | |
| data_files: | |
| - split: train | |
| path: data/synthdog/*.parquet | |
| - config_name: chartqa | |
| data_files: | |
| - split: train | |
| path: data/chartqa/*.parquet | |
| - config_name: dvqa | |
| data_files: | |
| - split: train | |
| path: data/dvqa/*.parquet | |
| - config_name: ai2d | |
| data_files: | |
| - split: train | |
| path: data/ai2d/*.parquet | |
| # Generative Visual Instruction Tuning | |
| Release of dataset for **Generative Visual Instruction Tuning**. | |
| ## Contents | |
| | Task | Rows | | |
| |---|---:| | |
| | text | 40,688 | | |
| | understanding | 1,221,051 | | |
| | editing | 200,000 | | |
| | generation | 558,120 | | |
| | Component | Packaged rows | | |
| |---|---:| | |
| | llava_text | 40,688 | | |
| | llava_understanding | 624,207 | | |
| | lvis | 213,690 | | |
| | editing | 200,000 | | |
| | generation | 558,120 | | |
| | lrv | 79,798 | | |
| | laion_gpt4v | 11,576 | | |
| | sharegpt4v | 102,025 | | |
| | docvqa | 39,461 | | |
| | synthdog | 65,000 | | |
| | chartqa | 22,881 | | |
| | dvqa | 50,000 | | |
| | ai2d | 12,413 | | |
| Only training data are packaged. | |
| ## Loading | |
| Load the complete mixture or one component: | |
| ```python | |
| from datasets import load_dataset | |
| data = load_dataset("jefehern/genllava", "default", split="train", streaming=True) | |
| editing = load_dataset("jefehern/genllava", "editing", split="train", streaming=True) | |
| example = next(iter(editing)) | |
| source_image = example["input_images"][0] | |
| edited_image = example["target_image"] | |
| ``` | |
| ## Record schema and training use | |
| `task` is `text`, `understanding`, `generation`, or `editing`. `messages` contains role/content pairs. Understanding rows provide `input_images`; generation rows provide only `target_image`; editing rows provide one source image and a separate target. Text rows have neither. | |
| `<image>` identifies a supplied input image; `<image_output>` marks image supervision. These are semantic dataset markers. This dataset preserves full released conversations and exact OCR labels; it does not apply the paper's 2,048-token text truncation or reproduce an unspecified task-token placement. | |
| ## Recipe decisions and exclusions | |
| - The 40,688 text-only ShareGPT conversations were partitioned from LLaVA's 665,298 records and counted once. | |
| - All 558,128 released generation pairs and all 102,025 ShareGPT4V caption rows were considered. Duplicate or invalid records were removed and counts are reported above. | |
| - Editing selects 200K source rows, SynthDoG 65K, ChartQA 23K, and DVQA 50K by seed-7 BLAKE2b ranking. LRV selects 80K unique source QA records from the two upstream coordinate-free releases plus chart annotations. No rows are added back after quality exclusions or exact deduplication. | |
| - DocVQA uses its 39,463-question training split. AI2D uses 12,413 records whose 3,246 image IDs have zero overlap with the official test split's 814 image IDs. Validation/test questions are not added to reach the paper's rounded targets. | |
| - LAION has 12,356 released metadata rows. **11,576** images were recovered; **780** remain unavailable after mirror recovery and bounded URL retries. | |
| - Deduplication uses exact task/messages/input-image hashes/target-image hash. It retains different questions about the same image. Global duplicates and held-out image matches removed during packaging are listed in `provenance/package_exclusions.jsonl`. | |
| ## Sources | |
| - [LLaVA generation / pretrain](https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain) | |
| - [LLaVA instruction mixture, including ShareGPT](https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K) | |
| - [LVIS-Instruct4V](https://huggingface.co/datasets/X2FD/LVIS-Instruct4V) | |
| - [InstructPix2Pix](https://huggingface.co/datasets/timbrooks/instructpix2pix-clip-filtered) | |
| - [LRV coordinate-free annotations and chart data](https://github.com/FuxiaoLiu/LRV-Instruction) | |
| - [LAION-GPT4V](https://huggingface.co/datasets/laion/gpt4v-dataset) | |
| - [ShareGPT4V](https://huggingface.co/datasets/Lin-Chen/ShareGPT4V) | |
| - [DocVQA](https://huggingface.co/datasets/pixparse/docvqa-single-page-questions) | |
| - [SynthDoG English](https://huggingface.co/datasets/naver-clova-ix/synthdog-en) | |
| - [ChartQA](https://huggingface.co/datasets/HuggingFaceM4/ChartQA) | |
| - [DVQA](https://huggingface.co/datasets/vikhyatk/dvqa) | |
| - [AI2D subset and image assets](https://huggingface.co/datasets/Lin-Chen/Open-LLaVA-NeXT-mix1M) | |