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  license: apache-2.0
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  ---
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  ## Dataset Summary
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- This dataset is curated to train (next-token) the LLM-ADE model, specifically designed to imbue it with financial domain expertise.
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  It consists of 75,849 sequences, amounting to approximately 16.8 million tokens, using the Llama tokenizer. We have deliberately unlabled the sequences wrt the company to reflect real world data and train the model to process knowledge from unlabelled data.
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  The data focuses on the 500 constituent companies of the S&P 500 index as of January 2024 and includes:
 
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  license: apache-2.0
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  ---
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  ## Dataset Summary
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+ This dataset is curated to train (next-token) the LLM-ADE model(https://arxiv.org/abs/2404.13028), specifically designed to imbue it with financial domain expertise.
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  It consists of 75,849 sequences, amounting to approximately 16.8 million tokens, using the Llama tokenizer. We have deliberately unlabled the sequences wrt the company to reflect real world data and train the model to process knowledge from unlabelled data.
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  The data focuses on the 500 constituent companies of the S&P 500 index as of January 2024 and includes: