finephrase

Dataset Card for HuggingFaceFW/finephrase Dataset Summary Synthetic data generated by DataTrove: Model: `HuggingFaceTB/SmolLM2-1.7B-Instruct` (`main`) Source dataset: `HuggingFaceFW/fineweb-edu`, config `sample-350BT`, split `train` Generation config: `temperature=1.0`, `top_p=1.0`, `top_k=50`, `max_tokens=2048`, `model_max_context=8192` Speculative decoding: `{"method":"suffix","num_speculative_tokens":32}` System prompt: `None` Input column: `text` Prompt families: faq prompt Rewrite the document as a comprehensive FAQ (Frequently Asked Questions). Extract or infer the key questions a reader would have about this topic, then provide clear, direct answers. Order questions logically, from foundational to advanced, or by topic area. Each answer should be self-contained and understandable without reference to other answers. Ensure the FAQ works as a standalone document. Output only the FAQ, nothing else. Document: [[DOCUMENT]] math prompt Rewrite the document to create a mathematical word problem based on the numerical data or relationships in the text. Provide a step-by-step solution that shows the calculation process clearly. Create a problem that requires multi-step reasoning and basic arithmetic operations. It should include the question followed by a detailed solution showing each calculation step. Output only the problem and solution, nothing else. Document: [[DOCUMENT]] table prompt Rewrite the document as a structured table that organizes the key information, then generate one question-answer pair based on the table. First extract the main data points and organize them into a clear table format with appropriate headers using markdown table syntax with proper alignment. After the table, generate one insightful question that can be answered using the table data. Provide a clear, concise answer to the question based on the information in the table. Output only the table followed by the question-answer pair, nothing else. Document: [[DOCUMENT]] tutorial prompt Rew