BAAI/Infinity-MM
Introduction Beijing Academy of Artificial Intelligence (BAAI) We collect, organize and open-source the large-scale multimodal instruction dataset, Infinity-MM, consisting of tens of millions of samples. Through quality filtering and deduplication, the dataset has high quality and diversity. We propose a synthetic data generation method based on open-source models and labeling system, using detailed image annotations and diverse question generation. Based on Infinity-MM… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/Infinity-MM.
| Author / organization | BAAI |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 6.2K (as reported by Hugging Face) |
| Likes | 120 |
| Created | 15 October 2024 |
| Last updated at source | 13 December 2024 |
Connected in the knowledge graph
- BAAI/Aquila-VL-2B-llava-qwenModel · used to train
- vincentkaufmann/gpt-oss-20b-vision-previewModel · used to train
- NovaSearch/jasper_en_vision_language_v1Model · used to train
- LiAutoAD/Ristretto-3BModel · used to train
Recent changes
- 16 Oct 2026 Description: Introduction Beijing Academy of Artificial Intelligence (BAAI) We collect, organize and open-source the large-scale multimodal instruction dataset, Infinity-MM, consisting of tens of millions of samples. Through quality filtering and dedupl → Introduction Beijing Academy of Artificial Intelligence (BAAI) We collect, organize and open-source the large-scale multimodal instruction dataset, Infinity-MM, consisting of tens of millions of samples. Through quality filtering and dedupl
Changes detected by Silytics between refreshes of the source.
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