file for parsing raw semcor xml files into csv

parse.py

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+# Parses raw semcor into csv files
+import pandas as pd
+import os
+from bs4 import BeautifulSoup
+
+
+def process_split(split_name, parent_path="semcor3.0"):
+    data = []
+    for file in os.listdir(os.path.join(parent_path, split_name, "tagfiles")):
+        file_path = os.path.join(parent_path, split_name, "tagfiles", file)
+        with open(file_path, "r") as f:
+            raw_file = f.read()
+        parsed_file = BeautifulSoup(raw_file, "html.parser")
+        for p in parsed_file.contextfile.context.find_all("p"):
+            pnum = p.get("pnum")
+            for s in p.find_all("s"):
+                snum = s.get("snum")
+                for child in s.find_all(text=False):
+                    child_data = {
+                        "tagfile": file,
+                        "pnum": pnum,
+                        "snum": snum,
+                        "tag": child.name,
+                        "lemma": child.get("lemma"),
+                        "lexsn": child.get("lexsn"),
+                        "wnsn": child.get("wnsn"),
+                        "value": child.string,
+                        "cmd": child.get("cmd"),
+                        "dc": child.get("dc"),
+                        "ot": child.get("ot"),
+                        "pn": child.get("pn"),
+                        "pos": child.get("pos"),
+                        "rdf": child.get("rdf"),
+                        "sep": child.get("sep"),
+                    }
+                    data.append(child_data)
+    df = pd.DataFrame(data)
+    return df
+
+
+if __name__ == "__main__":
+    for split in ["brown1", "brown2", "brownv"]:
+        print(f"processing split {split}")
+        df = process_split(split)
+        df.to_csv(f"data/{split}-00000-of-00001.csv", index=False)
+        print("Done. Saved to disk.")