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--- |
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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- text-classification |
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- table-question-answering |
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- question-answering |
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- text2text-generation |
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- text-generation |
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language: |
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- en |
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- es |
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- ar |
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- el |
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- fr |
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- ja |
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- pt |
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- uk |
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- az |
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- ga |
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- ko |
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- ca |
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- eo |
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- hi |
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- ml |
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- sl |
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- hu |
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- mr |
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- cs |
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- fa |
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- id |
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- nl |
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- th |
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- de |
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- fi |
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- it |
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- pl |
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- tr |
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tags: |
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- code |
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- legal |
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- finance |
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--- |
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# LLM Dataset - Prompts and Generated Texts |
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The dataset contains prompts and texts generated by the Large Language Models (LLMs) in **32 different languages**. The prompts are short sentences or phrases for the model to generate text. The texts generated by the LLM are responses to these prompts and can vary in **length and complexity**. |
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Researchers and developers can use this dataset to train and fine-tune their own language models for multilingual applications. The dataset provides a rich and diverse collection of outputs from the model, demonstrating its ability to generate coherent and contextually relevant text in multiple languages. |
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# 💴 For Commercial Usage: Full version of the dataset includes **4,000,000 logs** generated in **32 languages** with diferent types of LLM, including Uncensored GPT, leave a request on **[TrainingData](https://trainingdata.pro/datasets/llm?utm_source=huggingface&utm_medium=cpc&utm_campaign=llm)** to buy the dataset |
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### Models used for text generation: |
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- **GPT-3.5**, |
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- **GPT-4** |
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### Languages in the dataset: |
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*Arabic, Azerbaijani, Catalan, Chinese, Czech, Danish, German, Greek, English, Esperanto, Spanish, Persian, Finnish, French, Irish, Hindi, Hungarian, Indonesian, Italian, Japanese, Korean, Malayalam, Maratham, Netherlands, Polish, Portuguese, Portuguese (Brazil), Slovak, Swedish, Thai, Turkish, Ukrainian* |
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![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Ff60c93f09ec82a765aa39678e4aa0a58%2Fsnapedit_1709731090855.jpeg?generation=1709738798916444&alt=media) |
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# Content |
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CSV File includes the following data: |
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- **from_language**: language the prompt is made in, |
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- **model**: type of the model (GPT-3.5, GPT-4 and Uncensored GPT Version), |
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- **time**: time when the answer was generated, |
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- **text**: user prompt, |
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- **response**: response generated by the model |
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# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/llm?utm_source=huggingface&utm_medium=cpc&utm_campaign=llm)** to discuss your requirements, learn about the price and buy the dataset |
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## **[TrainingData](https://trainingdata.pro/datasets/llm?utm_source=huggingface&utm_medium=cpc&utm_campaign=llm)** provides high-quality data annotation tailored to your needs |
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets** |
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TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets** |
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*keywords: dataset, machine learning, natural language processing, artificial intelligence, deep learning, neural networks, text generation, language models, openai, gpt-3, data science, predictive modeling, sentiment analysis, keyword extraction, text classification, sequence-to-sequence models, attention mechanisms, transformer architecture, word embeddings, glove embeddings, chatbots, question answering, language understanding, text mining, information retrieval, data preprocessing, feature engineering, explainable ai, model deployment* |