README.md

---
license: apache-2.0
language:
- en
tags:
- midi
- music
- sentence
- transformers
- embeddings
- midi search
- music search
pretty_name: sourdough
size_categories:
- 1M<n<10M
---

# Sourdough-midi-dataset Sentence Transformers Embeddings
## MIDI files paths/names embeddings for MIDI search

***

### Embeddings are for all files paths/names in [Sourdough-midi-dataset](https://huggingface.co/datasets/BreadAi/Sourdough-midi-dataset) as of 04/07/2025 (Revision cd19431)

***

### Basic use example

#### Install dependencies

```sh
!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

```python
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']))
```

####

***

```
@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 }
}
```

***

### Project Los Angeles
### Tegridy Code 2025