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Bug#929606: marked as done (ITP: dataset-fashion-mnist -- (DL-Policy) A MNIST-like fashion product database.)

Your message dated Thu, 05 Sep 2019 09:00:17 +0000
with message-id <E1i5ncn-0008Pf-8q@fasolo.debian.org>
and subject line Bug#929606: fixed in dataset-fashion-mnist 0.0~git20181005.629abc0-1
has caused the Debian Bug report #929606,
regarding ITP: dataset-fashion-mnist -- (DL-Policy) A MNIST-like fashion product database.
to be marked as done.

This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.

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-- 
929606: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=929606
Debian Bug Tracking System
Contact owner@bugs.debian.org with problems
--- Begin Message --- 
Package: wnpp
Severity: wishlist
Owner: Mo Zhou <lumin@debian.org>

* Package name    : dataset-fashion-mnist
* URL             : https://github.com/zalandoresearch/fashion-mnist
* License         : MIT
  Description     : A MNIST-like fashion product database.

This is a part of DL-Policy[1]'s experiments.

The first, typical dataset used by everyone who started to learn machine
learning and deep learning is very possibly MNIST[2].  MNIST had been
used for over 30 years by researchers and engineers to valiate their
algorithms and learning frameworks, etc. However, The original MNIST
dataset doesn't have (I didn't find it) an explict license. And I have
to use an alternative -- the modern replacement of that MNIST dataset,
i.e. fashion-mnist. It has an explicit MIT license.

Packaging this dataset is to some extent meaningful:

  1. Dataset size: ~30MiB. Very friendly to any modern storage devices.
  2. A "UnitTest" dataset for virtually any deep learning framework.
     Developers can use this dataset to validate any machine learning
     or deep learning frameworks.
  3. Very easy to train and validate. This is a tiny "toy" dataset.
     A weak CPU can train models on this dataset in a reasonable timeframe.
  4. As an DL-Policy-compliant dataset package example.
  5. The dataset it self is frozen. Subsequent maintainance burden after
     the initial upload is nearly zero ...

See also:
https://github.com/zalandoresearch/fashion-mnist#why-we-made-fashion-mnist

[1] https://salsa.debian.org/lumin/deeplearning-policy
[2] http://yann.lecun.com/exdb/mnist/

--- End Message ---
--- Begin Message --- 
Source: dataset-fashion-mnist
Source-Version: 0.0~git20181005.629abc0-1

We believe that the bug you reported is fixed in the latest version of
dataset-fashion-mnist, which is due to be installed in the Debian FTP archive.

A summary of the changes between this version and the previous one is
attached.

Thank you for reporting the bug, which will now be closed.  If you
have further comments please address them to 929606@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.

Debian distribution maintenance software
pp.
Mo Zhou <cdluminate@gmail.com> (supplier of updated dataset-fashion-mnist package)

(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing ftpmaster@ftp-master.debian.org)


-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA512

Format: 1.8
Date: Fri, 31 May 2019 09:44:19 +0000
Source: dataset-fashion-mnist
Binary: dataset-fashion-mnist
Architecture: source all
Version: 0.0~git20181005.629abc0-1
Distribution: unstable
Urgency: low
Maintainer: Mo Zhou <cdluminate@gmail.com>
Changed-By: Mo Zhou <cdluminate@gmail.com>
Description:
 dataset-fashion-mnist - MNIST-like fashion product database
Closes: 929606
Changes:
 dataset-fashion-mnist (0.0~git20181005.629abc0-1) unstable; urgency=low
 .
   * Initial upload. (Closes: #929606)
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--- End Message ---
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