Add embedding generation code.

.gitignore

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+.venv

generate.py

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+from datasets import load_dataset
+from sentence_transformers import SentenceTransformer
+import torch
+
+device = torch.device("mps")
+embedder = SentenceTransformer('all-mpnet-base-v2')
+
+dataset = load_dataset("csv", data_dir="./raw", sep="|", split="train", column_names=['id', 'type', 'language', 'title'])
+dataset.save_to_disk("./datasets")
+
+embeddings = embedder.encode(dataset['title'], convert_to_tensor=True, device=device)
+torch.save(embeddings, "./embeddings/corpus.pt")

requirements.txt

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+aiohttp==3.8.4
+aiosignal==1.3.1
+async-timeout==4.0.2
+attrs==23.1.0
+certifi==2023.5.7
+charset-normalizer==3.1.0
+click==8.1.3
+datasets==2.13.0
+dill==0.3.6
+filelock==3.12.2
+frozenlist==1.3.3
+fsspec==2023.6.0
+huggingface-hub==0.15.1
+idna==3.4
+Jinja2==3.1.2
+joblib==1.2.0
+MarkupSafe==2.1.3
+mpmath==1.3.0
+multidict==6.0.4
+multiprocess==0.70.14
+networkx==3.1
+nltk==3.8.1
+numpy==1.25.0
+packaging==23.1
+pandas==2.0.2
+Pillow==9.5.0
+pyarrow==12.0.1
+python-dateutil==2.8.2
+pytz==2023.3
+PyYAML==6.0
+regex==2023.6.3
+requests==2.31.0
+safetensors==0.3.1
+scikit-learn==1.2.2
+scipy==1.10.1
+sentence-transformers==2.2.2
+sentencepiece==0.1.99
+six==1.16.0
+sympy==1.12
+threadpoolctl==3.1.0
+tokenizers==0.13.3
+torch==2.0.1
+torchvision==0.15.2
+tqdm==4.65.0
+transformers==4.30.2
+typing_extensions==4.6.3
+tzdata==2023.3
+urllib3==2.0.3
+xxhash==3.2.0
+yarl==1.9.2