Merge pull request #4 from aeon-toolkit/content

Content

Author: TonyBagnall

README.md

@@ -17,7 +17,7 @@
   ·
   <a href="docs/leaderboard.md">Leaderboard</a>
   ·
-  <a href="docs/experiments.md">Experiments</a>
+  <a href="docs/evaluation.md">Evaluation</a>
   ·
   <a href="docs/classifiers.md">Classifiers</a>
   ·
@@ -29,10 +29,11 @@ This repository is for accessing, benchmarking, and extending this new archive.
 
 It brings together datasets, published results, reproducible evaluation workflows, and leaderboard infrastructure in one place. The aim is to make it easier to:
 
-- access benchmark datasets for <a href="docs/datasets.md"> multivariate time series 
-  classification</a>,
-- load data into Python workflows,
-- explore and compare against <a href="docs/results.md">published results</a>,
+- access the <a href="docs/datasets.md"> multiverse </a>, a collection of benchmark 
+  datasets for  multivariate time series 
+  classification,
+- explore and compare against <a href="docs/results.md">published results</a> of 
+  classification algorithms,
 - reproduce baseline <a href="docs/experiments.md"> experiments</a>,
 - evaluate <a href="docs/classifiers.md">new classifiers consistently</a>,
 - and <a href="docs/contributing.md">contribute</a> new algorithms and results back to 

docs/contributing.md

@@ -0,0 +1,3 @@
+# Contributing
+
+Coming soon

docs/results.md

@@ -0,0 +1,8 @@
+## Results for multiverse datasets
+
+Results used in bake offs are available on timeseriesclassification.com and 
+obtainable in code with aeon.
+
+You can explore and download these results interactively on the COMING SOON website.
+
+Raw spreadsheets are in the results directory.