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Running
| { | |
| "examples": [ | |
| { | |
| "name": "News", | |
| "text": "The rapid advancement of artificial intelligence has sparked both excitement and concern among researchers worldwide. While AI systems demonstrate remarkable capabilities in language understanding and generation, questions remain about their potential impact on employment and society." | |
| }, | |
| { | |
| "name": "Code", | |
| "text": "def fibonacci(n):\n if n <= 1:\n return n\n return fibonacci(n-1) + fibonacci(n-2)\n\n# Calculate first 10 Fibonacci numbers\nfor i in range(10):\n print(f\"F({i}) = {fibonacci(i)}\")" | |
| }, | |
| { | |
| "name": "Literature", | |
| "text": "It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the season of Darkness." | |
| }, | |
| { | |
| "name": "Chinese", | |
| "text": "人工智能的快速发展在全球研究人员中引发了兴奋和担忧。虽然人工智能系统在语言理解和生成方面展现了非凡的能力,但关于其对就业和社会的潜在影响的问题仍然存在。" | |
| }, | |
| { | |
| "name": "Mixed", | |
| "text": "The transformer architecture, introduced in the paper \"Attention Is All You Need\" (2017), revolutionized NLP. 这种架构使用自注意力机制来处理序列数据,比传统的RNN和LSTM更加高效。" | |
| } | |
| ] | |
| } | |