diff --git a/README.md b/README.md
index bf12fac..d00f0d3 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,7 @@
 # mineralML
-[![PyPI](https://badgen.net/pypi/v/mineralML)](https://pypi.org/project/mineralML/)
+<!-- [![PyPI](https://badgen.net/pypi/v/mineralML)](https://pypi.org/project/mineralML/) -->
 [![Build Status](https://github.com/SarahShi/mineralML/actions/workflows/main.yml/badge.svg?branch=main)](https://github.com/SarahShi/mineralML/actions/workflows/main.yml)
-[![Documentation Status](https://readthedocs.org/projects/mineralML/badge/?version=latest)](https://mineralML.readthedocs.io/en/latest/?badge=latest)
+[![Documentation Status](https://readthedocs.org/projects/mineralml/badge/?version=latest)](https://mineralml.readthedocs.io/en/latest/?badge=latest)
 [![codecov](https://codecov.io/gh/SarahShi/mineralML/branch/main/graph/badge.svg)](https://codecov.io/gh/SarahShi/mineralML/branch/main)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/SarahShi/mineralML/blob/main/mineralML_colab.ipynb)
 [![Python 3.7](https://img.shields.io/badge/python-3.7+-blue.svg)](https://www.python.org/downloads/release/python-370/)
diff --git a/docs/importing_data.rst b/docs/importing_data.rst
index a134cd0..5f9f594 100644
--- a/docs/importing_data.rst
+++ b/docs/importing_data.rst
@@ -27,14 +27,14 @@ The following columns are required for this Chemistry file:
 *  Sample
 *  SiO\ :sub:`2`
 *  TiO\ :sub:`2`
-*  Al\ :sub:`2` O\ :sub:`3`
+*  Al\ :sub:`2`O\ :sub:`3`
 *  FeO\ :sub:`t`
 *  MnO
 *  MgO 
 *  CaO 
-*  Na\ :sub:`2` O
-*  K\ :sub:`2` O
-*  Cr\ :sub:`2` O\ :sub:`3`
+*  Na\ :sub:`2`O
+*  K\ :sub:`2`O
+*  Cr\ :sub:`2`O\ :sub:`3`
 
 For example, here a screenshot of a CSV spreadsheet containing the mineral composition data. You can use the ChemistryTemplate.csv from the GitHub repository to create your own. For oxides that were not analyzed or not detected, enter 0 into the cell. 
 
diff --git a/docs/introduction.rst b/docs/introduction.rst
index bbc53b2..e3eb808 100644
--- a/docs/introduction.rst
+++ b/docs/introduction.rst
@@ -21,6 +21,7 @@ These folks have been fundamental to the development of ``mineralML``:
 - `Paula Antoshechkina <https://github.com/magmasource>`_ (California Institute of Technology)
 - `Kerstin Lehnert <https://lamont.columbia.edu/directory/kerstin-lehnert>`_ (LDEO)
 
+
 ========
 Minerals
 ========
@@ -52,17 +53,16 @@ Chemistry
 
 ``mineralML`` requires inputs of mineral chemistry, in the form of oxides. The machine learning models are trained on 10 oxides: 
 
-*  Sample
-*  SiO:sub:`2`
+*  SiO\ :sub:`2`
 *  TiO\ :sub:`2`
-*  Al\ :sub:`2` O\ :sub:`3`
+*  Al\ :sub:`2`O\ :sub:`3`
 *  FeO\ :sub:`t`
 *  MnO
 *  MgO 
 *  CaO 
-*  Na\ :sub:`2` O
-*  K\ :sub:`2` O
-*  Cr\ :sub:`2` O\ :sub:`3`
+*  Na\ :sub:`2`O
+*  K\ :sub:`2`O
+*  Cr\ :sub:`2`O\ :sub:`3`
 
 
 =====