Remove atomvision for now.

README.md

@@ -1,4 +1,5 @@
 ![Leaderboard actions](https://github.com/usnistgov/jarvis_leaderboard/actions/workflows/test_build.yml/badge.svg)
+![Leaderboard installation actions](https://github.com/usnistgov/jarvis_leaderboard/actions/workflows/install_ai.yml/badge.svg)
 ![GitHub repo size](https://img.shields.io/github/repo-size/usnistgov/jarvis_leaderboard)
 [![name](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/knc6/jarvis-tools-notebooks/blob/master/jarvis-tools-notebooks/Upload_benchmark_to_jarvis_leaderboard.ipynb)
 [![name](https://colab.research.google.com/assets/colab-badge.svg)]([https://colab.research.google.com/github/knc6/jarvis-tools-notebooks/blob/master/jarvis-tools-notebooks/Upload_benchmark_to_jarvis_leaderboard.ipynb](https://colab.research.google.com/github/knc6/jarvis-tools-notebooks/blob/master/jarvis-tools-notebooks/alignn_jarvis_leaderboard.ipynb))

docs/index.md

@@ -164,8 +164,11 @@ body {
 This project provides benchmark performances of various methods for materials science applications using the datasets available in [JARVIS-Tools databases](https://pages.nist.gov/jarvis/databases/). Some of the categories are: [Artificial Intelligence (AI)](./AI), [Electronic Structure (ES)](./ES), [Force-field (FF)](./FF), [Quantum Computation (QC)](./QC) and [Experiments (EXP)](./EXP). A variety of properties are included in the benchmark.
 
 Typically, codes are kept in platforms like GitHub/GitLab, and data is stored in repositories like Zenodo/Figshare/NIST Materials Data. We recommend keeping the benchmarks in the JARVIS-Leaderboard to enhance reproducibility and transparency.
-
 In addition to prediction results, we aim to capture the underlying software, hardware, and instrumental frameworks to enhance reproducibility. This project is a part of the [NIST-JARVIS](https://jarvis.nist.gov) infrastructure.
+As a minimum check, we test rebuilding of the leaderboard and installations of software using GitHub actions.
+
+![Leaderboard actions](https://github.com/usnistgov/jarvis_leaderboard/actions/workflows/test_build.yml/badge.svg)
+![Leaderboard installation actions](https://github.com/usnistgov/jarvis_leaderboard/actions/workflows/install_ai.yml/badge.svg)
 
 
 <!--number_of_benchmarks--> - Number of benchmarks: 296
@@ -180,7 +183,6 @@ In addition to prediction results, we aim to capture the underlying software, ha
 
 
 
-
 A brief summary table is given below: