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Josephgflowers/Finance-Instruct-500k

Finance-Instruct-500k Dataset Overview Finance-Instruct-500k is a comprehensive and meticulously curated dataset designed to train advanced language models for financial tasks, reasoning, and multi-turn conversations. Combining data from numerous high-quality financial datasets, this corpus provides over 500,000 entries, offering unparalleled depth and versatility for finance-related instruction tuning and fine-tuning. The dataset includes content tailored for… See the full description on the dataset page: https://huggingface.co/datasets/Josephgflowers/Finance-Instruct-500k.

Author / organizationJosephgflowers
License (as declared)apache-2.0
Downloads674 (as reported by Hugging Face)
Likes244
Created10 January 2025
Last updated at source24 February 2026
financefine-tuningconversational-ainamed-entity-recognitionsentiment-analysistopic-classificationragmultilinguallightweight-llm
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  • 16 Oct 2026 Description: Finance-Instruct-500k Dataset Overview Finance-Instruct-500k is a comprehensive and meticulously curated dataset designed to train advanced language models for financial tasks, reasoning, and multi-turn conversations. Combining data from nu → Finance-Instruct-500k Dataset Overview Finance-Instruct-500k is a comprehensive and meticulously curated dataset designed to train advanced language models for financial tasks, reasoning, and multi-turn conversations. Combining data from nu

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.