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Update app.py

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@@ -101,7 +101,7 @@ with demo:
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  ## 🥇 BookSQL Leaderboard
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  Given the importance and wide prevalence of business databases across the world, the proposed dataset, [BookSQL](https://arxiv.org/abs/2406.07860) focuses on the finance and accounting domain. Accounting databases are used across a wide spectrum of industries like construction, healthcare, retail, educational services, insurance, restaurant, real estate, etc. Business in these industries arranges their financial transactions into their own different set of categories (called a chart of accounts Industry Details in accounting terminology.
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  Text-to-SQL system developed on BookSQL will be robust at handling various types of accounting databases. The total size of the dataset is 1 million. The dataset is prepared under financial experts' supervision, and the dataset's statistics are provided in below table. The dataset consists of 27 businesses, and each business has around 35k - 40k transactions
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- Read more at [https://exploration-lab.github.io/BookSQL/](https://exploration-lab.github.io/BookSQL/).
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  Please follow this format for uploading prediction file (https://huggingface.co/spaces/Exploration-Lab/BookSQL/blob/main/sample_prediction.csv)
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  """
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  )
 
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  ## 🥇 BookSQL Leaderboard
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  Given the importance and wide prevalence of business databases across the world, the proposed dataset, [BookSQL](https://arxiv.org/abs/2406.07860) focuses on the finance and accounting domain. Accounting databases are used across a wide spectrum of industries like construction, healthcare, retail, educational services, insurance, restaurant, real estate, etc. Business in these industries arranges their financial transactions into their own different set of categories (called a chart of accounts Industry Details in accounting terminology.
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  Text-to-SQL system developed on BookSQL will be robust at handling various types of accounting databases. The total size of the dataset is 1 million. The dataset is prepared under financial experts' supervision, and the dataset's statistics are provided in below table. The dataset consists of 27 businesses, and each business has around 35k - 40k transactions
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+ Read more at [https://github.com/Exploration-Lab/BookSQL](https://github.com/Exploration-Lab/BookSQL).
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  Please follow this format for uploading prediction file (https://huggingface.co/spaces/Exploration-Lab/BookSQL/blob/main/sample_prediction.csv)
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  """
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  )