正在加载视频...
视频加载失败
We just released 3 million samples of high quality vision language model training dataset for use cases such as: 📄 optical character recognition (OCR) 📊 visual question answering (VQA) 📝 captioning 🤗 Learn more: 📥 Download:
23 条评论

This is gold for anyone building multimodal models, Bravo NVIDIA!👏

Just stop selling low vram from ridiculous prices I paid 32 gb vram 5090, 4000 usd

brilliant release!

Most OCR tools only extract each page independently, losing the broader document context and hierarchy. PageIndex OCR is the first long-context OCR model that preserves the document’s global hierarchical structure—outperforming Mistral OCR.

Amazing!

So cool ! It would be amazing to improve the structure to show the images in the Dataset Viewer, happy to help :)

cc @michael_g_u please fwd to G & A 😅

this dataset drop is a game changer for multimodal projects, excited to see what the community builds with it

🔥🔥🔥

nice !

🤤 Data.

Data will fuel open-source. @Alibaba_Qwen your turn. @AIatMeta @Zai_org

Thanks for the great sharing! But it seems that the ocr annotations and images are not paired. Did I miss anything?

@huggingface Awsm 👌

thank you for your work!! Do all the images uploaded to HF yet? I see some of the folders missing.

that's a serious dataset drop. gonna make some waves in multimodal projects. nice to see real value for the community

Excellent can it be used to train from scratch?

@huggingface wowowow

Wowww

Great 👍

Amazing! 🤩

Large datasets are key for robust AI. This opens exciting new avenues for computer vision research. What innovative applications will this unlock?

Really helpful for vision based model architecture.
