Fixed bold Optional statements

README.md

@@ -6,11 +6,11 @@ This repository contains tools which can be used to create an StarCraft II datas
 
 0. Obtain replays to process. This can be a replaypack or your own replay folder.
 1. Download latest version of [SC2InfoExtractorGo](https://github.com/Kaszanas/SC2InfoExtractorGo), or build it from source.
-2. *Optional* If the replays that you have are held in nested directories it is best to use  ```src/directory_flattener.py```. This will copy the directory and place all of the files to the top directory where it can be further processed. In order to preserve the old directory structure, a .json file is created. The file contains the old directory tree to a mapping: ```{"replayUniqueHash": "whereItWasInOldStructure"}```. This step is is required in order to properly use [SC2InfoExtractorGo](https://github.com/Kaszanas/SC2InfoExtractorGo) as it only lists the files immediately available on the top level of the input directory. [SC2InfoExtractorGo](https://github.com/Kaszanas/SC2InfoExtractorGo).
-3. *Optional* Use the map downloader ```src/sc2_map_downloader.py``` to download maps that were used in the replays that you obtained. This is required for the next step.
-4. *Optional* Use the [SC2MapLocaleExtractor](https://github.com/Kaszanas/SC2MapLocaleExtractor) to obtain the mapping of ```{"foreign_map_name": "english_map_name"}``` which is required for the [SC2InfoExtractorGo](https://github.com/Kaszanas/SC2InfoExtractorGo) to translate the map names in the output .json files.
+2. **Optional** If the replays that you have are held in nested directories it is best to use  ```src/directory_flattener.py```. This will copy the directory and place all of the files to the top directory where it can be further processed. In order to preserve the old directory structure, a .json file is created. The file contains the old directory tree to a mapping: ```{"replayUniqueHash": "whereItWasInOldStructure"}```. This step is is required in order to properly use [SC2InfoExtractorGo](https://github.com/Kaszanas/SC2InfoExtractorGo) as it only lists the files immediately available on the top level of the input directory. [SC2InfoExtractorGo](https://github.com/Kaszanas/SC2InfoExtractorGo).
+3. **Optional** Use the map downloader ```src/sc2_map_downloader.py``` to download maps that were used in the replays that you obtained. This is required for the next step.
+4. **Optional** Use the [SC2MapLocaleExtractor](https://github.com/Kaszanas/SC2MapLocaleExtractor) to obtain the mapping of ```{"foreign_map_name": "english_map_name"}``` which is required for the [SC2InfoExtractorGo](https://github.com/Kaszanas/SC2InfoExtractorGo) to translate the map names in the output .json files.
 5. Perform replaypack processing using ```src/sc2_replaypack_processor.py``` with the [SC2InfoExtractorGo](https://github.com/Kaszanas/SC2InfoExtractorGo) placed in PATH, or next to the script.
-6. *Optional* Using the ```src/file_renamer.py```, rename the files that were generated in the previous step. This is not required and is done to increase the readibility of the directory structure for the output.
+6. **Optional** Using the ```src/file_renamer.py```, rename the files that were generated in the previous step. This is not required and is done to increase the readibility of the directory structure for the output.
 7. Using the ```src/file_packager.py```, create .zip archives containing the datasets and the supplementary files. By finishing this stage, your dataset should be ready to upload.
 
 ## Customization