Update README.md

README.md

@@ -1,3 +1,50 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+---
+
+Data checkpoints from https://github.com/hexgrad/misaki for Grapheme To Phoneme (G2P) conversion.
+
+
+## Code to generate:
+```py
+!git clone https://github.com/hexgrad/misaki
+%cd misaki
+
+import subprocess
+import json
+import pandas as pd
+from misaki import __version__
+
+def get_git_commit_hash():
+  result = subprocess.run(["git", "rev-parse", "HEAD"], capture_output=True, text=True, check=True)
+  return result.stdout.strip()
+
+def get_rows(data, language):
+  rows = []
+  for key, values in data.items():
+    if not isinstance(values, dict):
+      values = dict(DEFAULT=values)
+    for pos, phonemes in values.items():
+      rows.append(dict(
+        language=language,
+        word=key,
+        pos=pos,
+        phonemes=phonemes,
+      ))
+  return rows
+
+dictionaries = ["us_gold", "us_silver", "gb_gold", "gb_silver"]
+data = {}
+for dictionary in dictionaries:
+  with open(f"./misaki/data/{dictionary}.json") as f:
+    data[dictionary] = json.load(f)
+
+rows = []
+for dictionary, data in data.items():
+  rows.extend(get_rows(data, f"en-{'US' if dictionary.startswith('us_') else 'GB'}"))
+
+df = pd.DataFrame(rows)
+commit_hash = get_git_commit_hash()
+dataset_name = f"{__version__}-{commit_hash}.parquet"
+df.to_parquet(dataset_name)
+```