--- license: apache-2.0 task_categories: - image-to-text - text-to-image tags: - monet - captions - synthetic-captions - qwen - multimodal - text-to-image-training language: - en --- # MONET Captions Dataset > **MONET** (*Massive, Open, Non-redundant and Enriched Text-to-image dataset*) is a large-scale, curated image-text dataset designed for training text-to-image (T2I) systems. > - [jasperai/monet](https://huggingface.co/datasets/jasperai/monet) This repository provides an enriched, concise, and multi-VLM-synthesized caption dataset derived from MONET to improve training efficiency and text description quality. ## 🛠️ Dataset Construction The dataset is built upon a sample of ~100,000 images sourced from [agentlans/jasperai-monet-sample](https://huggingface.co/datasets/agentlans/jasperai-monet-sample). ### Processing Pipeline 1. **Multi-VLM Caption Extraction**: Individual captions were generated using a variety of vision-language models (e.g., Florence-2-Large, Gemini 2.5 Flash Lite, InternVL-3-8B, and ShareGPT4V-7B). 2. **Qwen3.5-9B Merging**: The individual model captions were aggregated and merged using **Qwen3.5-9B** to produce a single, highly detailed yet concise caption. #### Merging Prompt ```text Merge the captions below into one short, accurate caption. Rules: * Include the key details from all captions. * Remove repeated or unnecessary information. * Keep the result clear, natural, and concise. * Do not add or guess information. * Output only the final caption. Captions: [CAPTIONS] ``` ## 📂 Data Structure & Splits The dataset is split into **Train (80%)** and **Test (20%)** sets. ### Schema * `__key__`: The unique ID. Matches the ID in the original dataset for retrieving the actual image. * `caption_`: Individual raw captions generated by respective VLMs. * `caption`: The final synthesized, merged caption. * `abridged_caption`: The caption shortened to roughly 75 CLIP tokens by selecting the highest-scoring tokens using TF-IDF. ### Example Row ```json { "__key__": "055_cc61e2aebccd566d", "caption_florence-2-large": "The image shows a man with dreadlocks wearing a peach-colored t-shirt and sunglasses, smiling against a blue background.", "caption_gemini-2.5-flash-lite": "A close-up, profile shot shows a Black man from the chin up, wearing dark-lensed, brown-framed sunglasses. His mouth is open in a wide smile, revealing white teeth. He has dark, braided hair, with some braids pulled back. He wears a light peach-colored t-shirt and a thin, silver chain around his neck. The background is a solid, bright blue. The lighting is soft, highlighting the man's features and creating a natural, casual feel. The style is portraiture with a focus on the subject's expression and accessories.", "caption_internvl-3-8b": "The image shows a person with braided hair wearing dark sunglasses and a light-colored shirt. The background is a solid blue color, and the person is smiling. The overall mood of the image is cheerful and relaxed.", "caption_sharegpt4v-7b": "In the image, a young man is captured in a close-up shot against a vibrant blue background. His face is turned slightly to the left, and he is smiling, adding a warm and friendly vibe to the image. He is wearing a pair of sunglasses that are dark in color, possibly black or brown, and have a distinctive orange frame. The sunglasses are positioned on the top of his head, suggesting a casual and relaxed style. His hair is styled in braids, adding a unique touch to his overall appearance. He is wearing a pink", "caption": "A young man with dark, braided hair and bangs, wearing dark-lensed sunglasses with orange frames and a light peach-coloured t-shirt. He smiles warmly while his mouth is open, revealing white teeth. The background is a solid bright blue, and the lighting is soft, creating a cheerful, relaxed, and natural portraiture style.", "abridged_caption": "a young man with dark , braided hair and bangs , wearing dark - lensed sunglasses with orange frames and a light peach - coloured t - shirt . he smiles warmly while his mouth is open , revealing white teeth . the background is a solid bright blue , and the lighting is soft , creating a cheerful , relaxed , and natural portraiture style ." } ``` ## ⚠️ Limitations * **Dataset Bias**: MONET's content leans predominantly toward safe-for-work (SFW) photos. * **VLM Limitations**: Captions are dependent on the inherent text and vision recognition capabilities of the underlying models. * **Synthesis Biases**: Potential stylistic or structural biases introduced during the Qwen3.5 text-merging process. * **Verification**: Merged captions have not been exhaustively cross-checked manually against the original images. ## 📜 License Distributed under the **Apache 2.0** license, matching the original MONET dataset.