Releases: JuliaML/MLDatasets.jl
Releases · JuliaML/MLDatasets.jl
v0.7.8
MLDatasets v0.7.8
Closed issues:
- Some TU Datasets do not work - Error when loading (#195)
- Potential edge mismatch in TUDatasets? (#197)
Merged pull requests:
- Support multiple labels for nodes, edges and graphs (#196) (@Dsantra92)
- [tudataset] wrong perm (#198) (@CarloLucibello)
v0.7.7
MLDatasets v0.7.7
Closed issues:
Merged pull requests:
- Fix typos (#187) (@aurorarossi)
- fix PolBlogs (#188) (@CarloLucibello)
- fix UD_English (#189) (@CarloLucibello)
- don't add reverse edges in movielens (#193) (@CarloLucibello)
v0.7.6
MLDatasets v0.7.6
Closed issues:
Merged pull requests:
- require explicit Pickle import in load_pytorch (#170) (@Dsantra92)
- Split for OGBDatasets (#172) (@Dsantra92)
- add OrganicMaterialsDB (#180) (@CarloLucibello)
- Corrects docstring for the
as_df
keyword (#183) (@vitaminace33) - CompatHelper: bump compat for MLUtils to 0.3, (keep existing compat) (#186) (@github-actions[bot])
v0.7.5
MLDatasets v0.7.5
Closed issues:
- MPI Faust dataset (#155)
- Issues on M1 due to use of BinaryProvider (#159)
- Add test cases for PTBLM dataset (#163)
- Graph examples are not working (#176)
- Module are not callable (#179)
Merged pull requests:
- Add Faust Dataset (#160) (@Dsantra92)
- Fix the references in MovieLens (#161) (@Dsantra92)
- Don't test SMS Spam Collection on CI (#164) (@Dsantra92)
- add PTBLM tests (#165) (@Dsantra92)
v0.7.4
MLDatasets v0.7.4
Closed issues:
- New test failing ("ml-10m") (#151)
Merged pull requests:
- Fix documentation typos for vision datasets (#150) (@christiangnrd)
- Add Omniglot Dataset (#152) (@christiangnrd)
- Patch/fix ci (#154) (@Dsantra92)
- Fix movielens 10m (#156) (@christiangnrd)
- Reorder tests and documentation lists in alphabetical order for consistency (#157) (@christiangnrd)
v0.7.3
MLDatasets v0.7.3
Closed issues:
- Movielens datasets (#104)
- Support for Heterogeneous Graphs (#139)
- Don't download non-required data for DataHubs (#142)
Merged pull requests:
- Use Manual deps for registering some datahubs (#143) (@Dsantra92)
- MovieLens Datasets (#147) (@Dsantra92)
- fixed CIFAR100 docs class number error (#149) (@cluffa)
v0.7.2
MLDatasets v0.7.2
Closed issues:
- Contributing synthetic datasets (#29)
read_csv
needs DataFrames.jl which is arequire
import (#133)- add show methods for
WithGraph
andGNNChain
(#134) - Possible World Age issue when require error is not invoked (#135)
] add MLDatasets
fails on Julia nightly on macOS (#137)
Merged pull requests:
- eagerly load CSV (#136) (@johnnychen94)
- Support for OGB Hetero-Graphs (#140) (@Dsantra92)
- Fix unzip errors in OGB-Datasets (#141) (@Dsantra92)
v0.7.1
v0.7.0
MLDatasets v0.7.0
Closed issues:
- Add documentation pages for NLP datasets (#14)
- Problem running Pkg.test (#16)
- fail to compile on Julia 1.1 Linux (#27)
- redesign the package (#73)
- Links to other dataset repositories (#115)
- using MLDatasets is very slow (#126)
- missing docstring
pyhasattr
in docs (#129)
Merged pull requests:
- lazy module loading (#128) (@CarloLucibello)
v0.6.0
MLDatasets v0.6.0
Closed issues:
- Deprecations v0.6 (#120)
Merged pull requests:
- add SupervisedDataset and move misc. datasets to the new interface (#98) (@CarloLucibello)
- Redesign Vision datasets (#110) (@CarloLucibello)
- fix docs (#111) (@CarloLucibello)
- Add Zachary's Karate Club Dataset (#112) (@Dsantra92)
- Redesign Text datasets (#113) (@CarloLucibello)
- Redesign graph datasets (#114) (@CarloLucibello)
- Reddit Graph dataset (#116) (@Dsantra92)
- typo: README url link (#117) (@athatheo)
- redesign TUDataset (#119) (@CarloLucibello)
- Add missing deprecations for v0.6 (#121) (@CarloLucibello)
- docs improvements (#123) (@CarloLucibello)
- change dataset[] to dataset[:] (#124) (@CarloLucibello)