[DataCap Application] <Small Art> - <Art-related data>

[lifeifwhere]

Data Owner Name

Small Art Ltd.

Data Owner Country/Region

United Kingdom

Data Owner Industry

Arts & Recreation

Website

Social Media Handle

Social Media Type

Slack

What is your role related to the dataset

Dataset Owner

Total amount of DataCap being requested

4PiB

Expected size of single dataset (one copy)

542TiB

Number of replicas to store

7

Weekly allocation of DataCap requested

800TiB

On-chain address for first allocation

f1cqgyehgspfzgmmyjah26ylftte3spg5sasqqjta

Data Type of Application

Public, Open Commercial/Enterprise

Custom multisig

• Use Custom Multisig

Identifier

No response

Share a brief history of your project and organization

Company Background

Small Art Ltd., established on March 1, 2018, is headquartered in the British Virgin Islands (BVI). The company specializes in the creation, collection, and trading of small-scale artworks. Founded by a group of art enthusiasts, Small Art Ltd. aims to integrate art into modern life through innovative methods, allowing more people to experience the charm of miniature art. Focused on combining traditional and digital art, the company strives to drive the globalization of the small-scale art market.

Core Business

1.Miniature Art Creation and Customization Services
•Offers bespoke miniature paintings, sculptures, and jewelry designs, especially for collectors and high-end clients.
•Collaborates with renowned artists to release limited-edition miniature art pieces.

2.Art Digitalization
•Employs blockchain technology to provide clients with digital asset solutions for miniature art, ensuring authenticity and uniqueness.
•Operates an online art trading platform, enabling global clients to browse and purchase artworks conveniently.

3.Art Exhibitions and Education
•Organizes annual miniature art tours in major cities worldwide.
•Launches “Miniature Art Academy,” featuring online courses and offline workshops to promote art education.
4.Investment Consulting Services
•Offers valuation and investment advisory services for collectors and investors, particularly in the niche field of miniature art.

Development Milestones

•2018: Focused on art trading services in the British Virgin Islands and neighboring regions during its early stages.
•2019: Introduced digital technologies, enabling the digitization of artworks and the launch of NFT-based art trading, expanding its influence.
•2020: Expanded into Asian and European markets, unveiling an online miniature art education platform that attracted over 100,000 registered students.
•2022: Partnered with leading international art institutions to host the “World Miniature Art Expo,” which garnered over 500,000 attendees.

Future Vision

Small Art Ltd. aims to become a global leader in miniature art innovation by combining art and technology. The company seeks to make artworks more accessible while fostering cultural exchange on a global scale.

Is this project associated with other projects/ecosystem stakeholders?

No

If answered yes, what are the other projects/ecosystem stakeholders

No response

Describe the data being stored onto Filecoin

1.Digitized Art Data
Our miniature artworks are converted into high-resolution images, 3D models, and metadata (including descriptions, creation background, and artist information) using advanced scanning and digitization technologies. This ensures that the artworks can be showcased and traded globally while their authenticity and uniqueness are safeguarded through blockchain technology.
2.NFT Metadata for Artworks
Small Art Ltd. frequently develops NFTs corresponding to our miniature art pieces. We store the metadata for these NFTs (e.g., artwork name, creator, creation date, and unique identifiers) along with the digital files of the artworks on Filecoin. This ensures their immutability and long-term preservation.
3.Educational Content and Teaching Materials
Our “Miniature Art Classroom” generates extensive educational resources, such as video courses, instructional demonstrations, artist interviews, and related materials. These resources are stored on the Filecoin network, making them accessible to global users anytime.
4.Exhibition and Event Records
Recordings, images, and documentation from Small Art Ltd.’s global miniature art exhibitions are securely stored for future reference and promotional purposes. These large, valuable files are well-suited for long-term storage on the Filecoin network.

Where was the data currently stored in this dataset sourced from

My Own Storage Infra

If you answered "Other" in the previous question, enter the details here

No response

If you are a data preparer. What is your location (Country/Region)

United Kingdom

If you are a data preparer, how will the data be prepared? Please include tooling used and technical details?

1.Digital Artworks Data Preparation
•Data Collection: We use high-precision scanners (such as Phase One or Fujifilm’s high-end scanners) to capture high-resolution images of miniature artworks. For 3D artworks, we use 3D scanners (such as Artec Eva) to generate high-precision 3D models.
•Data Formats: The scanned artwork images are saved in high-resolution JPEG or TIFF formats, while 3D models are saved in STL or OBJ formats. Additionally, each artwork is accompanied by metadata, such as artwork title, creation background, and artist information, which are stored in JSON format.
•Processing Tools: During image and 3D model processing, we use tools such as Adobe Photoshop and Blender for editing and optimization to ensure the quality of images and the detail of models.
2.NFT Metadata Preparation
•NFT Metadata Generation: Each artwork is associated with an NFT, and corresponding metadata is generated, including artwork title, author, creation date, and unique identifier. We use smart contract platforms (such as Ethereum or Filecoin-supported NFT standards) to mint NFTs and store their metadata in IPFS (InterPlanetary File System) or directly on Filecoin.
•Smart Contract Tools: We use the Truffle framework and Solidity to write smart contracts for minting and managing NFTs.
3.Educational Content and Teaching Material Preparation
•Video Courses and Educational Materials: All courses and teaching materials (e.g., videos, PPTs, PDF files) are edited and organized. We use Adobe Premiere and Final Cut Pro for video editing, and Microsoft PowerPoint or Keynote for course presentation creation. PDF files are converted into formats suitable for storage and transmission.
•Storage and Management: All educational content is stored on the Filecoin network, with integrated Filecoin APIs and IPFS used for data uploading and management, ensuring the long-term storage and security of the content.
4.Artwork Exhibitions and Event Records Preparation
•Image and Photo Organization: Photos and videos of artwork exhibitions and event records are selected and optimized. We use Photoshop and DaVinci Resolve to process the footage to ensure the best visual quality.
•Storage and Archiving: These large files (e.g., videos and high-resolution images) are uploaded to Filecoin for long-term storage, leveraging Filecoin’s distributed storage capabilities to ensure future access and promotional use.

If you are not preparing the data, who will prepare the data? (Provide name and business)

No response

Has this dataset been stored on the Filecoin network before? If so, please explain and make the case why you would like to store this dataset again to the network. Provide details on preparation and/or SP distribution.

Previously, the data was not stored on a distributed network. We now aim to store our data more securely and at a lower cost, while also ensuring that it can be easily backed up in multiple copies.

Please share a sample of the data

https://www.youtube.com/@MaremiSmallArt/videos

One of the teacher’s videos.

Confirm that this is a public dataset that can be retrieved by anyone on the Network

• I confirm

If you chose not to confirm, what was the reason

No response

What is the expected retrieval frequency for this data

Monthly

For how long do you plan to keep this dataset stored on Filecoin

2 to 3 years

In which geographies do you plan on making storage deals

Greater China, Asia other than Greater China, North America

How will you be distributing your data to storage providers

HTTP or FTP server, IPFS

How did you find your storage providers

Slack, Big Data Exchange, Partners

If you answered "Others" in the previous question, what is the tool or platform you used

No response

Please list the provider IDs and location of the storage providers you will be working with.

f01082888 HK
f03081958 CHINA
f01084413 SINGAPORE
f01084941 HK
f03228820 KOREA

How do you plan to make deals to your storage providers

Boost client, Lotus client

If you answered "Others/custom tool" in the previous question, enter the details here

No response

Can you confirm that you will follow the Fil+ guideline

Yes

[datacap-bot]

Application is waiting for allocator review

[Lind111]

First, please click on filecoin-project/notary-governance#1056 (comment) to view my allocation rules

[Lind111]

Could you send an email with business license to qq248245620@gmail.com in order to confirm your identity?The email should include the miner ID, the business entity, a list of sps locations you will be working with

[lifeifwhere]

First, please click on filecoin-project/notary-governance#1056 (comment) to view my allocation rules

Alright, it seems we meet all the requirements, and we will also follow the rules accordingly.

[lifeifwhere]

Could you send an email with business license to qq248245620@gmail.com in order to confirm your identity?The email should include the miner ID, the business entity, a list of sps locations you will be working with

Alright, I have sent our business license and the list of our collaborating SPs. Please check.

[Lind111]

confirmed

[Lind111]

f01082888 HK
f03081958 CHINA
f01084413 SINGAPORE
f01084941 HK
f03228820 KOREA

Do they all support retrieval?

[Lind111]

f01082888 210.245.153.21 HK

f03081958 113.219.198.14 CHINA

f01084413 52.221.211.126 SINGAPORE

f01084941 210.245.153.26 HK

f03228820 211.47.49.109 KOREA

[Lind111]

Confirmed geographic location

[lifeifwhere]

f01082888 HK f03081958 CHINA f01084413 SINGAPORE f01084941 HK f03228820 KOREA

Do they all support retrieval?

Currently, all nodes support retrieval. For node 8820, it utilizes the Lotus method for sealing, which is not currently compatible with Spark. However, it can still be accessed through manual retrieval methods, as we mandate data retrieval checks.

[Lind111]

confirmed

[datacap-bot]

Datacap Request Trigger

Total DataCap requested

4PiB

Expected weekly DataCap usage rate

800TiB

DataCap Amount - First Tranche

200TiB

Client address

f1cqgyehgspfzgmmyjah26ylftte3spg5sasqqjta

[datacap-bot]

DataCap Allocation requested

Multisig Notary address

Client address

f1cqgyehgspfzgmmyjah26ylftte3spg5sasqqjta

DataCap allocation requested

200TiB

Id

904f67df-b489-4018-8147-6de342bc1f3b

[datacap-bot]

Application is ready to sign

[datacap-bot]

Request Approved

Your Datacap Allocation Request has been approved by the Notary

Message sent to Filecoin Network

bafy2bzacedxibb4f6rsptcczkl74so4rjaofwl4nthac4tep655iwlocfug2m

Address

f1cqgyehgspfzgmmyjah26ylftte3spg5sasqqjta

Datacap Allocated

200TiB

Signer Address

f1edi46m4ry7smqnk3p6nb4azmcythf4bl57lw3uy

Id

904f67df-b489-4018-8147-6de342bc1f3b

You can check the status here https://filfox.info/en/message/bafy2bzacedxibb4f6rsptcczkl74so4rjaofwl4nthac4tep655iwlocfug2m

[datacap-bot]

Application is Granted

[Lind111]

Attention to the rational distribution of data

[Lind111]

checker:manualTrigger

[datacap-bot]

DataCap and CID Checker Report Summary¹

Storage Provider Distribution

✔️ Storage provider distribution looks healthy.

⚠️ 25.00% of Storage Providers have retrieval success rate equal to zero.

⚠️ 75.00% of Storage Providers have retrieval success rate less than 75%.

Deal Data Replication

✔️ Data replication looks healthy.

Deal Data Shared with other Clients²

✔️ No CID sharing has been observed.

Full report

Click here to view the CID Checker report.

Footnotes

1. To manually trigger this report, add a comment with text checker:manualTrigger ↩

2. To manually trigger this report with deals from other related addresses, add a comment with text checker:manualTrigger <other_address_1> <other_address_2> ... ↩

[datacap-bot]

Client used 75% of the allocated DataCap. Consider allocating next tranche.

[datacap-bot]

Request Approved

Your Datacap Allocation Request has been approved by the Notary

Message sent to Filecoin Network

bafy2bzaceaexnv24xkxmg2mvrtfil4bobuzokwdpue3ac54lesrlg6n6twkyi

Address

f1cqgyehgspfzgmmyjah26ylftte3spg5sasqqjta

Datacap Allocated

1.56PiB

Signer Address

f1edi46m4ry7smqnk3p6nb4azmcythf4bl57lw3uy

Id

10214b63-8a3c-424b-8418-1d13223714e0

You can check the status here https://filfox.info/en/message/bafy2bzaceaexnv24xkxmg2mvrtfil4bobuzokwdpue3ac54lesrlg6n6twkyi

[datacap-bot]

Application is Granted

[Lind111]

Looking forward to seeing the new SP as well as an improved retrieval rate!

[Lind111]

checker:manualTrigger

[datacap-bot]

DataCap and CID Checker Report Summary¹

Storage Provider Distribution

✔️ Storage provider distribution looks healthy.

⚠️ 33.33% of Storage Providers have retrieval success rate equal to zero.

⚠️ 100.00% of Storage Providers have retrieval success rate less than 75%.

Deal Data Replication

✔️ Data replication looks healthy.

Deal Data Shared with other Clients²

✔️ No CID sharing has been observed.

Full report

Click here to view the CID Checker report.

Footnotes

1. To manually trigger this report, add a comment with text checker:manualTrigger ↩

2. To manually trigger this report with deals from other related addresses, add a comment with text checker:manualTrigger <other_address_1> <other_address_2> ... ↩

[Lind111]

Data will be randomly retrieved again to verify

[lifeifwhere]

f03157883 shenzhen

The number of storage providers (SPs) will increase, totaling seven SPs. Please review.

[datacap-bot]

Client used 75% of the allocated DataCap. Consider allocating next tranche.

[Lind111]

checker:manualTrigger

[Lind111]

checker:manualTrigger

[datacap-bot]

DataCap and CID Checker Report Summary¹

Storage Provider Distribution

✔️ Storage provider distribution looks healthy.

⚠️ 28.57% of Storage Providers have retrieval success rate equal to zero.

⚠️ 100.00% of Storage Providers have retrieval success rate less than 75%.

Deal Data Replication

✔️ Data replication looks healthy.

Deal Data Shared with other Clients²

✔️ No CID sharing has been observed.

Full report

Click here to view the CID Checker report.

Footnotes

1. To manually trigger this report, add a comment with text checker:manualTrigger ↩

2. To manually trigger this report with deals from other related addresses, add a comment with text checker:manualTrigger <other_address_1> <other_address_2> ... ↩

[Lind111]

Can you explain the continued low retrieval rate?

[Lind111]

checker:manualTrigger

[datacap-bot]

DataCap and CID Checker Report Summary¹

Storage Provider Distribution

✔️ Storage provider distribution looks healthy.

⚠️ 28.57% of Storage Providers have retrieval success rate equal to zero.

⚠️ 100.00% of Storage Providers have retrieval success rate less than 75%.

Deal Data Replication

✔️ Data replication looks healthy.

Deal Data Shared with other Clients²

✔️ No CID sharing has been observed.

Full report

Click here to view the CID Checker report.

Footnotes

1. To manually trigger this report, add a comment with text checker:manualTrigger ↩

2. To manually trigger this report with deals from other related addresses, add a comment with text checker:manualTrigger <other_address_1> <other_address_2> ... ↩

[lifeifwhere]

Hello, the issue arises because these two zero-retrieval nodes are encapsulated using Louts, which makes them unable to display in Spark. However, by using open-source retrieval tools, it can be observed that these two nodes support HTTP retrieval.

[Lind111]

checker:manualTrigger

[datacap-bot]

DataCap and CID Checker Report Summary¹

Storage Provider Distribution

✔️ Storage provider distribution looks healthy.

⚠️ 28.57% of Storage Providers have retrieval success rate equal to zero.

⚠️ 100.00% of Storage Providers have retrieval success rate less than 75%.

Deal Data Replication

✔️ Data replication looks healthy.

Deal Data Shared with other Clients²

✔️ No CID sharing has been observed.

Full report

Click here to view the CID Checker report.

Footnotes

1. To manually trigger this report, add a comment with text checker:manualTrigger ↩

2. To manually trigger this report with deals from other related addresses, add a comment with text checker:manualTrigger <other_address_1> <other_address_2> ... ↩

[Lind111]

checker:manualTrigger

[datacap-bot]

DataCap and CID Checker Report Summary¹

Storage Provider Distribution

✔️ Storage provider distribution looks healthy.

⚠️ 28.57% of Storage Providers have retrieval success rate equal to zero.

⚠️ 100.00% of Storage Providers have retrieval success rate less than 75%.

⚠️ The average retrieval success rate is 19.88%

Deal Data Replication

✔️ Data replication looks healthy.

Deal Data Shared with other Clients²

✔️ No CID sharing has been observed.

Full report

Click here to view the CID Checker report.

Footnotes

1. To manually trigger this report, add a comment with text checker:manualTrigger ↩

2. To manually trigger this report with deals from other related addresses, add a comment with text checker:manualTrigger <other_address_1> <other_address_2> ... ↩

[Lind111]

The retrieval rate continues to drop, can you explain that?

[Lind111]

checker:manualTrigger

[datacap-bot]

DataCap and CID Checker Report Summary¹

Storage Provider Distribution

✔️ Storage provider distribution looks healthy.

⚠️ 57.14% of Storage Providers have retrieval success rate equal to zero.

⚠️ 100.00% of Storage Providers have retrieval success rate less than 75%.

⚠️ The average retrieval success rate is 12.42%

Deal Data Replication

✔️ Data replication looks healthy.

Deal Data Shared with other Clients²

✔️ No CID sharing has been observed.

Full report

Click here to view the CID Checker report.

Footnotes

1. To manually trigger this report, add a comment with text checker:manualTrigger ↩

2. To manually trigger this report with deals from other related addresses, add a comment with text checker:manualTrigger <other_address_1> <other_address_2> ... ↩