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mmc's Issues

Chart-Text Alignment Data

Great Work! Can you provide Chart-Text Alignment Data? Or how to separate this apart from instruction tuning data?

Incomplete Arxiv Image Dataset

Hello,

I have downloaded 202k Arxiv images, but it seems incomplete. The JSON data for Scientific (Arxiv) Chart-Caption comprises a total of 250,000 entries. Yet, I found that 79,040 entries reference images that are missing from the dataset provided in this Google Drive link.

Could you kindly provide the missing images or offer insight into why they are not included in the provided dataset?

Thank you for your attention to this matter.

Best regards,

Request for Chart-Text Alignment Data Download Link

Hello,

I have been exploring the MMC project repository and find it immensely valuable. I am particularly interested in accessing the Chart-Text Alignment Data to further my research. However, I noticed that the download link provided in the README only includes the Chart Instruction-Tuning Data.

Would it be possible for you to kindly provide the download link for the Chart-Text Alignment Data as well? Access to this dataset would greatly contribute to my work and research efforts.

Thank you very much for your time and consideration.

Best regards,

Request for summarization data for existing dataset

Thanks for open-sourcing the MMC training data, which is quite helpful for developing document-oriented MLLMs. I notice that the download link for existing datasets is not updated yet and I believe it is better to include them in our training. Do you have a plan for uploading these images recently?

How many epochs and what is the best loss of your model in the Chart-Text Alignment stage?

Hi,
I am trying to replicate the Chart-Text Alignment stage as described in your paper. It's my first time pre-training such a big model on a large-scale dataset so I don't know when I should stop the pre-training loop. Could you please kindly provide the information about the number of epochs and the best loss that you pre-trained your model in the Chart-Text Alignment stage.

Thank you for your attention to this matter.

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