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- ---
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- license: eupl-1.1
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: eupl-1.1
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+ language:
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+ - nl
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+ tags:
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+ - documents
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+ - fine-tuning
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ This dataset is used in the Woo-document classification project from the Municipality of Amsterdam.
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+ The goal of this dataset is to fine-tune LLMs. The documents are formatted into a zero-shot prompt and then turned into conversations,
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+ where the ideal response of the model is the prediction (class) formatted into JSON format.
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+
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+
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+ Specifics:
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+ - Truncation: first 200 tokens of each document. Docs are tokenized using the Llama tokenizer.
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+ - Data split:
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+ - test set: first 100 docs of each class (in total 1100 docs)
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+ - train set: remaining docs, with max of 1500 docs per class (11000 docs)
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+ - train set: 90% of train set is used for fine-tuning model (9900 docs)
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+ - val set: 10% of train segt is used for evaluating the loss during training (1100 docs)