[FEATURE] Changelog

[mynameisvinn]

🚨🚨 Feature Request

• Related to an existing Issue
• A new implementation (Improvement, Extension)

Is your feature request related to a problem?

Work closely with the core dev team (particularly @haiyangdeperci and @AbhinavTuli) to create and organize a changelog for each release. For example, this is the most recent update:

Release Notes for Hub v.1.2.1
1. Dataset copying has been added allowing you to copy your own and other users' datasets easily. Datasets can be copied across gcs, s3, aws, local storage and hub storage. #454 (@AbhinavTuli)
2. Many improvements to the benchmarks #508 #512 #531 #545 #550 (@haiyangdeperci @DebadityaPal)
3. Development Roadmap added #511 (@mynameisvinn)
4. Improved message for Hub transforms by displaying shard size #523 (@DebadityaPal)
5. All windows have now been fixed. #528 (@AbhinavTuli)
6. Hub dataset filtering has been overhauled and a section has been added for the same in the documentation #539 (@AbhinavTuli)
7. to_tensorflow issues with Datasets containing Sequences (such as coco) have been fixed #540 (@AbhinavTuli)
8. Adds get_label parameter to .compute() and .numpy(), to directly retrieve string label from ClassLabel #489 (@DebadityaPal)
9. Tutorial added for using Hub with Hugging Face transformers #536 (@DebadityaPal)
10. Some unit tests have now been parameterized to cover multiple datatypes #527 (@drewpotter)
11. From directory function has been implemented to directly ingest categorical image data #459 (@sparkingdark)
12. Example use case added for creating a Hub dataset for Deep Learning prediction of crop yield #559 (@MargauxMasson)
13. MPL Headers have been added to source files #494 (@KrishnaChaitanya1)

If your feature will improve HUB

Well written and comprehensive changelogs bring awareness to new Hub features.

[AbhinavTuli]

If we could automate this process (Perhaps by naming the PRs properly in the first place and simply listing all PRs in the changelog) then it would be even better 😄

[dhiganthrao]

Hey! If it's fine with you, I'd like to be assigned to this issue. I feel that this would be a good opportunity to get to know how Hub works, and hopefully contribute to other issues as well that are a bit more advanced. Thank you!

[dhiganthrao]

@mynameisvinn thoughts? Sorry for seeming pushy.

[AbhinavTuli]

@dhiganthrao thanks for your interest, it's not at all pushy, we're always happy to see enthusiastic contributors! I think this issue might get obsolete once #565 gets merged. We need some help making our docs better, would you be interested in that instead?

[dhiganthrao]

@AbhinavTuli sure! Sounds like a good thing to start off with.

[AbhinavTuli]

Awesome! You can join our slack community , there we have a separate channel dedicated to docs that you can join.

[mynameisvinn]

Not pushy at all @dhiganthrao ... I love the initiative! I'll find you something good to work on :)

[dhiganthrao]

@mynameisvinn thank you! Will do my best.

[mynameisvinn]

@dhiganthrao were you able to work on this?

[dhiganthrao]

@mynameisvinn I was under the assumption that this would be covered in #565! I could work on this if no one else is currently doing so, or help out anyone who is!

[bopardikarsoham]

Hey @mynameisvinn @AbhinavTuli assuming no one has been assigned to this issue, can I work on this issue?

[AbhinavTuli]

Hey @bopardikarsoham! with the auto release drafter from #565, this has mostly been automated, please feel free to choose another issue 😄