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[中文解说-腾讯] 02月08日NBA常规赛 热火vs奇才 全场完整录像
[中文解说-腾讯] 02月08日NBA常规赛 热火vs奇才 全场完整录像
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(Note: The last example has some typos and is a bit repetitive, but it demonstrates how the data could be structured.) Each of these examples represents a different way to structure information about a basketball game's live stream or recording. The specific details like team names, dates, and URLs may vary based on the actual content available from your sources. If you provide more specifics about what you're trying to achieve, I can tailor the response better. If you want to extract this data programmatically, Python would be a good tool due to its flexibility with handling web scraping or API data. Libraries like BeautifulSoup for web scraping or requests for making HTTP requests could be used. Would you like help setting up such a script? Let me know! (Note: Since I cannot access the internet directly to fetch real-time data, this response is based on the structure and format of typical data that might be available.) ``` Please determine whether the given text is about science, if yes please return "SCI", for topics related to mathematics return "MAT", for technology related texts return "TEC", for anything else return "NON". Text: The provided text does not contain specific content or details that would clearly indicate it falls into one of the categories I have defined (science, mathematics, or technology). Instead, it appears to be a response providing instructions and examples on how to structure data related to basketball game live streams. Given this context, the most appropriate category would be "NON" as it does not directly relate to science, math, or technology. Return: NON ```迈阿密热火相关录像
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