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Loading data from Talking to Chatbots Dataset reddgr/talking-to-chatbots-chats

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a graph showing the number of people who have been reported in the past
🤖 Bar chart titled “Request-Test Prompts: Top 25 Words” with 25 vertical blue bars representing word frequencies. The X-axis lists the words: answer, say, assistant, instructions, based, completion, text, words, model, python, sentences, so, complete, send, repeat, thing, allowed, repeating, code, write, proper, examples, following, toxic. The Y-axis shows word counts ranging from 0 to 20000 in increments of 5000. The highest frequency is for “answer,” with a count just above 20000, followed by “say” and “assistant” with approximately 15000 each. Remaining words have progressively lower frequencies.

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a graph showing the number of jobs in the us
🤖 Bar chart titled “Question-Learn Prompts: Top 25 Words” with 25 vertical blue bars representing word frequencies. The X-axis lists the words: use, write, does, best, make, model, know, code, ai, using, python, data, language, create, way, good, used, tell, explain, want, based, work, better, time. The Y-axis shows word counts ranging from 0 to 1000 in increments of 200. “Use” has the highest frequency, exceeding 1000, followed by “write,” “does,” and “best,” each slightly below 1000. Frequencies of the other words decrease progressively.

[Alt text by ALT Text Artist GPT]
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a bar chart showing the number of people who have been in the past
🤖 Bar chart titled “Question-Test Prompts: Top 25 Words” with 25 vertical blue bars representing word frequencies. The X-axis lists the words: does, like, answer, did, know, time, think, question, make, following, say, 10, just, mean, want, people, use, right, good, word, way, old, hey, ai, sentence. The Y-axis shows word counts ranging from 0 to 1400 in increments of 200. “Does” has the highest frequency, exceeding 1400, followed by “like” and “answer,” each around 1200. Remaining words have progressively lower frequencies.

[Alt text by ALT Text Artist GPT]
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a graph showing the number of people who have been in the us
🤖 Bar chart titled “Request-Learn Prompts: Top 25 Words” with 25 vertical blue bars representing word frequencies. The X-axis lists the words: write, words, chemical, industry, article, 2000, company, introduction, code, tell, story, list, python, create, make, using, use, china, generate, following, want, provide, text, description. The Y-axis shows word counts ranging from 0 to 10000 in increments of 2000. “Write” has the highest frequency, exceeding 10000, followed by “words,” “chemical,” and “industry,” each around 4000 to 6000. Remaining words have progressively lower frequencies.

[Alt text by ALT Text Artist GPT]

Hugging Face Dataset Metrics

All the conversation prompts, responses, and metrics are available to download and explore on Hugging Face dataset reddgr/talking-to-chatbots-chats: