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from .base import MelodyDatasetHandler | |
class KiSing(MelodyDatasetHandler): | |
name = "kising" | |
def __init__(self, melody_type, cache_dir, *args, **kwargs): | |
# melody_type: support alignment type for "sample" melody source | |
import json | |
from datasets import load_dataset | |
song_db = load_dataset( | |
"jhansss/kising_score_segments", cache_dir=cache_dir, split="train" | |
).to_pandas() | |
song_db.set_index("segment_id", inplace=True) | |
assert ( | |
song_db.index.is_unique | |
), "KiSing score segments should have unique segment_id." | |
if melody_type == "lyric": | |
with open("data/kising/song2word_lengths.json", "r") as f: | |
song2word_lengths = json.load(f) | |
elif melody_type == "note": | |
with open("data/kising/song2note_lengths.json", "r") as f: | |
song2word_lengths = json.load(f) | |
self.song_db = song_db | |
self.song2word_lengths = song2word_lengths | |
def get_song_ids(self): | |
return list(self.song2word_lengths.keys()) | |
def get_phrase_length(self, song_id): | |
return self.song2word_lengths[song_id] | |
def iter_song_phrases(self, song_id): | |
segment_id = 1 | |
while f"{song_id}_{segment_id:03d}" in self.song_db.index: | |
segment = self.song_db.loc[f"{song_id}_{segment_id:03d}"].to_dict() | |
segment["note_lyrics"] = [ | |
lyric.strip("<>") if lyric in ["<AP>", "<SP>"] else lyric | |
for lyric in segment["note_lyrics"] | |
] | |
yield segment | |
segment_id += 1 | |