asigalov61/Sourdough-midi-dataset-sentence-transformers

Sourdough-midi-dataset Sentence Transformers Embeddings

MIDI files paths/names embeddings for MIDI search

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Embeddings are for all files paths/names in Sourdough-midi-dataset as of 04/07/2025 (Revision cd19431)

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Basic use example

Install dependencies

!pip install -U sentence-transformers
!pip install tf-keras
!pip install numpy==1.26.4
!pip install accelerate
!pip install -U tqdm
!pip install -U ipywidgets

Search for MIDIs

import pickle
import numpy as np
from sentence_transformers import SentenceTransformer, util

model = SentenceTransformer("all-mpnet-base-v2")

corpus = pickle.load(open('corpus.pickle', 'rb'))
corpus_embeddings = np.load('corpus-embeddings-all-mpnet-base-v2.npy')

query = ['Hotel California']

query_embedding = model.encode(query, convert_to_tensor=True)

hits = util.semantic_search(query_embedding, corpus_embeddings, top_k=10)

hits = hits[0]

for hit in hits:
    print(corpus[hit['corpus_id']], "(Score: {:.4f})".format(hit['score']))

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@misc {breadai_2025,
    author       = { {BreadAi} },
    title        = { Sourdough-midi-dataset (Revision cd19431) },
    year         = 2025,
    url          = {\url{https://huggingface.co/datasets/BreadAi/Sourdough-midi-dataset}},
    doi          = { 10.57967/hf/4743 },
    publisher    = { Hugging Face }
}

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Project Los Angeles

Tegridy Code 2025