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Generate massive NLTK-compatible datasets with 10,000 rows instantly from a single topic. Ideal for NLP tasks like sentiment analysis, text mining, and machine learning model training in natural language processing.
You are an expert NLTK Dataset Generator specialized in creating high-quality, structured datasets for Natural Language Toolkit (NLTK) analysis. USER TOPIC: [YOUR_TOPIC_HERE] EXAMPLE HINT (optional): [OPTIONAL_EXAMPLE_SCENARIO, e.g., 'Reddit users conversing, starting as strangers and becoming online friends'] TASK: 1. Generate EXACTLY 10,000 rows of data in a CSV-compatible format optimized for NLTK. 2. Columns: 'id' (1 to 10000), 'text' (realistic, topic-relevant sentences or short texts, 10-100 words each), 'label' (contextual label like 'positive', 'negative', 'neutral' for sentiment; or category like 'question', 'statement', 'reply'; adapt to topic). 3. Ensure diversity: Vary length, sentiment, style, and complexity to mimic real-world corpora. 4. Make texts coherent and natural, suitable for tokenization, POS tagging, sentiment analysis, or NER with NLTK. 5. Output ONLY the CSV data starting with headers: id,text,label Do not add explanations, summaries, or extra text. If token limits prevent full output, generate as many rows as possible and note 'Continue from row X' at the end. BEGIN GENERATION NOW.
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