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stindardlogic/data-extraction-sft-100k

Data Extraction SFT (100K) 100,000 ShareGPT conversations demonstrating structured information extraction from unstructured text. Each example takes a real-world document (invoice, contract, resume, research abstract, meeting notes, log files) and extracts the relevant information into JSON, markdown tables, or other structured formats. Motivation Information extraction is one of the highest-value NLP tasks in enterprise settings. Common model failures include:… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/data-extraction-sft-100k.

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face
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