The problem TrustMarket solves

Since datamarketplace are permissionsless, there are bound to be a ton of fake dataset listed on any datamarketplace. Unlike NFT where projects are validated and unique artists are validated, dataset on the datamarket can come from any source anonymous or popular. Which is why there is an important need to combat fraudulent intent to keep marketplace free from fraudulent dataset. Which is where Trustmarket fits in, it provides a standard for resolving any fraudulent dataset with a DAO that governs the validity of a dataset. When a buyer claims that a dataset is been falsely represented, DAO takes a vote deciding validity of dataset and resolve through punishments and refunds mechanisms. When buyer makes a fake claim then the buyer's reputation will be slashed and the seller will be paid his funds. If no fraud occurs then seller can withdraw funds after finality time has ended Trust market ensures that the buyers are protected in permission-less and decentralized manner .In this way Trustmarket reduces the issue of listing of fraudulent dataset on a datamarketplace.

Challenges we ran into

It was overwhelming for us in first to check out FVM and how we can use this for deploy contracts with verifiable storage.
We also faced some problem in finalising how our dao backed marketplace will work and what are the steps we can take towards ensuring safe and secure transfer of data. The main problem that we faced was pinning our marketplace data with pinata on ipfs as the docs are overwhelming and not much helpful to us.