joshua-ne / FIL_DC_Allocator_1022

This repo serves as a bookkeeping tool for DC allocation from Allocator_1022
0 stars 0 forks source link

[DataCap Application] <Xenogic> - <Xenogic027> #34

Open andy198811 opened 1 month ago

andy198811 commented 1 month ago

Version

1

DataCap Applicant

Xenogic

Project ID

Xenogic027

Data Owner Name

Google DeepMind

Data Owner Country/Region

United States

Data Owner Industry

IT & Technology Services

Website

https://deepmind.google/

Social Media Handle

https://x.com/GoogleDeepMind

Social Media Type

Twitter

What is your role related to the dataset

Data Preparer

Total amount of DataCap being requested

10 PiB

Expected size of single dataset (one copy)

2 PiB

Number of replicas to store

4

Weekly allocation of DataCap requested

700 TiB

On-chain address for first allocation

f1bbppztpteepgaz46dyzvpwr7ajnqq7gvhlba6rq

Data Type of Application

Public, Open Dataset (Research/Non-Profit)

Custom multisig

Identifier

No response

Share a brief history of your project and organization

Xenogic is a team specializing in big data, active since 2022. We focus on exploring innovative commercial models in data collection, storage, processing, transfer, and application, aiming to harness the power of data in an era defined by AI and rapid technological advancements. With a commitment to redefining data-driven solutions, Xenogic strives to create impactful strategies that meet the evolving needs of modern businesses and industries, pushing the boundaries of how data can be utilized in a world of information and AI-driven transformation.

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

The Kinetics datasets, developed by DeepMind, are large-scale collections of video clips designed for human action recognition research. They include various versions (e.g., Kinetics-400, Kinetics-600, and Kinetics-700) and cover hundreds of human action categories, making them invaluable for training and evaluating AI models in video analysis and behavior understanding. Secure storage is essential to maintain data integrity, enable reproducibility in research, and protect the availability of this critical resource for future advancements in machine learning and computer vision.

Where was the data currently stored in this dataset sourced from

Google Cloud

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)

Hong Kong

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

The data is collected and made into car files by our homemade tool stacks, which have to proven to be accurate and efficient

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.

AFAK it is not stored yet.

Please share a sample of the data

https://s3.amazonaws.com/kinetics/400/train/part_0.tar.gz

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

If you chose not to confirm, what was the reason

No response

What is the expected retrieval frequency for this data

Yearly

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

Permanently

In which geographies do you plan on making storage deals

Asia other than Greater China

How will you be distributing your data to storage providers

Cloud storage (i.e. S3), HTTP or FTP server, IPFS, Shipping hard drives

How did you find your storage providers

Partners, Others

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.

f01422327, Japan
f02252024, Japan
f02252023, Japan
f03230392, Vietnam
f01111110, Vietnam
f01909705, Vietnam
f03230423, Malaysia
f03232064, Malaysia
f03232134, Malaysia

How do you plan to make deals to your storage providers

Boost 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[bot] commented 1 week ago

Application is Granted

filecoin-watchdog commented 2 days ago

checker:manualTrigger

datacap-bot[bot] commented 2 days ago

DataCap and CID Checker Report Summary[^1]

Storage Provider Distribution

✔️ Storage provider distribution looks healthy.

⚠️ 55.56% of Storage Providers have retrieval success rate less than 75%.

Deal Data Replication

✔️ Data replication looks healthy.

Deal Data Shared with other Clients[^3]

✔️ No CID sharing has been observed.

[^1]: To manually trigger this report, add a comment with text checker:manualTrigger

[^2]: Deals from those addresses are combined into this report as they are specified with checker:manualTrigger

[^3]: To manually trigger this report with deals from other related addresses, add a comment with text checker:manualTrigger <other_address_1> <other_address_2> ...

Full report

Click here to view the CID Checker report.