Update README.md

README.md

@@ -22,18 +22,24 @@ WikiMT is a unique resource to support the evaluation of semantic search and mus
 
 To access metadata related to ABC notation music scores from the WikiMT dataset, follow these steps:
 
-1. **Locate the Wikifonia MusicXML Data Link:** Start by visiting the discussion thread on the forum to find the download link for the Wikifonia dataset in MusicXML format (with a .mxl extension). You can find the discussion here: [Download for Wikifonia all 6,675 Lead Sheets](http://www.synthzone.com/forum/ubbthreads.php/topics/384909/Download_for_Wikifonia_all_6,6).
-
+1. **Locate the xml2abc.py script**:
+    - Visit https://wim.vree.org/svgParse/xml2abc.html.
+    - You will find a python script named `xml2abc.py-{version number}.zip`. Copy the link of this zip file.
+
+2. **Locate the Wikifonia MusicXML Data**:
+    - Visit the discussion: [Download for Wikifonia all 6,675 Lead Sheets](http://www.synthzone.com/forum/ubbthreads.php/topics/384909/Download_for_Wikifonia_all_6,6).
+    - You will find the download link of a zip file named `Wikifonia.zip` for the Wikifonia dataset in MusicXML format (with a.mxl extension). Copy the link of this zip file.
+    
 2. **Run the Provided Code:** Once you have found the Wikifonia MusicXML data link, execute the provided Python code below. This code will handle the following tasks:
-   - Automatically download the "wikimusictext.jsonl" dataset, which contains metadata associated with music scores.
    - Automatically download the "xml2abc.py" conversion script, with special thanks to the author, Willem (Wim).
-   - Prompt you for the Wikifonia data URL, as follows:
+   - Automatically download the "wikimusictext.jsonl" dataset, which contains metadata associated with music scores.
+   - Prompt you for the xml2abc/Wikifonia URL, as follows:
 
    ```python
-   Enter the Wikifonia URL: [Paste your URL here]
+   Enter the xml2abc/Wikifonia URL: [Paste your URL here]
    ```
 
-   Paste the URL pointing to the Wikifonia.zip file and press Enter.
+   Paste the URL pointing to the `xml2abc.py-{version number}.zip` or `Wikifonia.zip` file and press Enter.
 
 The below code will take care of downloading, processing, and extracting the music score metadata, making it ready for your research or applications.
 
@@ -82,7 +88,7 @@ def filter(lines):
 def load_music(filename):
     # Convert the file to ABC notation
     p = subprocess.Popen(
-        f'python xml2abc_145/xml2abc.py -m 2 -c 6 -x "{filename}"',
+        f'python {xml2abc_dir}/xml2abc.py -m 2 -c 6 -x "{filename}"',
         stdout=subprocess.PIPE,
         stderr=subprocess.PIPE,
         shell=True
@@ -136,10 +142,14 @@ if response.status_code == 200:
 else:
     print(f"Failed to download. Status code: {response.status_code}")
 
-# Download the xml2abc.py script (special thanks to Wim Vree for creating this script)
-download_and_extract("https://wim.vree.org/svgParse/xml2abc.py-145.zip")
+# Download the xml2abc.py script
+# Visit https://wim.vree.org/svgParse/xml2abc.html
+xml2abc_url = input("Enter the xml2abc URL: ")
+download_and_extract(xml2abc_url)
+xml2abc_dir = xml2abc_url.split('/')[-1][:-4].replace(".py", "").replace("-", "_")
 
 # Download the Wikifonia dataset
+# Visit http://www.synthzone.com/forum/ubbthreads.php/topics/384909/Download_for_Wikifonia_all_6,6
 wikifonia_url = input("Enter the Wikifonia URL: ")
 download_and_extract(wikifonia_url)
 
@@ -161,7 +171,7 @@ with open("wikimusictext.jsonl", "w", encoding="utf-8") as f:
         f.write(json.dumps(song, ensure_ascii=False)+"\n")
 ```
 
-By following these steps and running the provided code, you can efficiently access ABC notation music scores from the WikiMT dataset. Just ensure you have the metadata, the `xml2abc.py` script, and the correct download link before starting. Enjoy your musical journey!
+By following these steps and running the provided code, you can efficiently access ABC notation music scores from the WikiMT dataset. Just ensure you have the correct download links of xml2abc and Wikifonia before starting. Enjoy your musical journey!
 
 
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