cluster by embedding #70
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matheper
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| elif args.encoding == "embedding": | ||
| model = SentenceTransformer(args.model) | ||
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| # load the dataset |
| # load the dataset | ||
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| def get_orca_dataset(): |
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can you create one function get_dataset(dataset_name) ?
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| def get_flan_dataset(): | ||
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| flan = FlanModule( |
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for this you don't need to use module, just load_dataset(dataset_name) should work
| enumerate(train_dataloader), total=len(train_dataloader), desc="dataset" | ||
| ): | ||
| if "source" in batch: | ||
| embedding = get_text_encode(batch["source"], model) |
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can you add an argument from the command line that specifies which field to consider in the dataset?
--text_column_name "source"
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add instruction clustering by using sentence transformer encoding.
https://huggingface.co/blog/mteb