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README.md
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## Dataset Creation
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This dataset was created using a diverse set of state-of-the-art large language models. These LLMs were prompted with queries covering a wide range of topics and lengths, representing different user intents.
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The choice to use multiple LLMs was made to reduce the bias that might be introduced by using a single model. The broad spectrum of topics covered and the variety of query intents (informational, navigational, transactional, commercial) ensures the dataset is comprehensive and diverse.
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## Structure
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## Citation
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@dataset{query_expansion_dataset,
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author = {Emanuilov, S},
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title = {Query Expansion Dataset},
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year = {2024},
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publisher = {Hugging Face},
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howpublished = {\url{https://huggingface.co/datasets/s-emanuilov/query-expansion}},
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}
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## Dataset Creation
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This dataset was created using a diverse set of state-of-the-art large language models. These LLMs were prompted with queries covering a wide range of topics and lengths, representing different user intents.
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The choice to use multiple LLMs was made to reduce the bias that might be introduced by using a single model. The broad spectrum of topics covered and the variety of query intents (informational, navigational, transactional, commercial) ensures the dataset is comprehensive and diverse. After generation, the data underwent manual curation to ensure high quality.
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## Structure
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## Citation
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```citation
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@dataset{query_expansion_dataset,
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author = {Emanuilov, S},
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title = {Query Expansion Dataset},
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year = {2024},
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publisher = {Hugging Face},
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howpublished = {\url{https://huggingface.co/datasets/s-emanuilov/query-expansion}},
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}
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```
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