Update README.md

README.md

@@ -18,23 +18,24 @@ In [CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Musi
 
 WikiMT is a unique resource to support the evaluation of semantic search and music classification. However, it is important to acknowledge that the dataset was curated from publicly available sources, and there may be limitations concerning the accuracy and completeness of the genre and description information. Further research is needed to explore the potential biases and limitations of the dataset and to develop strategies to address them.
 
-## How to Obtain ABC Notation Music Scores
+## How to Access Music Score Metadata for ABC Notation
 
-To access ABC notation music scores from the WikiMT dataset, follow these steps:
+To access metadata related to ABC notation music scores from the WikiMT dataset, follow these steps:
 
-1. **Download WikiMT Metadata:** Get the metadata file for WikiMT [here](https://huggingface.co/datasets/sander-wood/wikimusictext/resolve/main/wikimusictext.jsonl). This file has important dataset information.
+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).
 
-2. **Get the `xml2abc.py` Script:** Download the `xml2abc.py` script from [this link](https://wim.vree.org/svgParse/xml2abc.html) and save it in your local directory.
+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:
 
-3. **Find Wikifonia MusicXML Data Link:** Locate a download link for the Wikifonia dataset in MusicXML format (with .mxl extension). You can search the internet or Wikifonia-related websites for it.
+   ```python
+   Enter the Wikifonia URL: [Paste your URL here]
+   ```
 
-4. **Run the Provided Code:** After acquiring the WikiMT metadata, the `xml2abc.py` script, and the Wikifonia MusicXML data link, execute the provided Python code below. It'll prompt you for the Wikifonia data URL, like this:
+   Paste the URL pointing to the Wikifonia.zip file and press Enter.
 
-```python
-Enter the Wikifonia URL: [Paste your URL here]
-```
-
-Paste your URL pointing to the Wikifonia.zip file and press Enter. The code will take care of downloading, processing, and extracting the music content, making it ready for your research or applications.
+The below code will take care of downloading, processing, and extracting the music score metadata, making it ready for your research or applications.
 
 ```python
 import subprocess
@@ -81,7 +82,7 @@ def filter(lines):
 def load_music(filename):
     # Convert the file to ABC notation
     p = subprocess.Popen(
-        f'cmd /u /c python xml2abc.py -m 2 -c 6 -x "{filename}"',
+        f'cmd /u /c python xml2abc_145/xml2abc.py -m 2 -c 6 -x "{filename}"',
         stdout=subprocess.PIPE,
         stderr=subprocess.PIPE,
         shell=True
@@ -120,6 +121,24 @@ def download_and_extract(url):
     else:
         print("Failed to download the file. HTTP response code:", response.status_code)
 
+# URL of the JSONL file
+wikimt_url = "https://huggingface.co/datasets/sander-wood/wikimusictext/resolve/main/wikimusictext.jsonl"
+
+# Local filename to save the downloaded file
+local_filename = "wikimusictext.jsonl"
+
+# Download the file and save it locally
+response = requests.get(wikimt_url)
+if response.status_code == 200:
+    with open(local_filename, 'wb') as file:
+        file.write(response.content)
+    print(f"Downloaded '{local_filename}' successfully.")
+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 Wikifonia dataset
 wikifonia_url = input("Enter the Wikifonia URL: ")
 download_and_extract(wikifonia_url)