Datasets:
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README.md
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pretty_name: RFSD
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size_categories:
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- 10M<n<100M
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---
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# The Russian Financial Statements Database (RFSD)
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The RFSD is hosted on 🤗 [Hugging Face](https://huggingface.co/datasets/irlspbru/RFSD) and [Zenodo](https://doi.org/10.5281/zenodo.14622209) and is stored in a structured, column-oriented, compressed binary format Apache Parquet with yearly partitioning scheme, enabling end-users to query only variables of interest at scale.
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The accompanying paper provides internal and external validation of the data: [
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Please also consult with the repository: https://github.com/irlcode/RFSD
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Here we present the instructions for importing the data in R or Python environment. Please consult with the project repository for more information: http://github.com/irlcode/RFSD.
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[](https://doi.org/10.5281/zenodo.14622209) [
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The RFSD is hosted on 🤗 [Hugging Face](https://huggingface.co/datasets/irlspbru/RFSD) and [Zenodo](https://doi.org/10.5281/zenodo.14622209) and is stored in a structured, column-oriented, compressed binary format Apache Parquet with yearly partitioning scheme, enabling end-users to query only variables of interest at scale.
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The accompanying paper provides internal and external validation of the data: [http://arxiv.org/abs/2501.05841](http://arxiv.org/abs/2501.05841).
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Please also consult with the repository: https://github.com/irlcode/RFSD
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Here we present the instructions for importing the data in R or Python environment. Please consult with the project repository for more information: http://github.com/irlcode/RFSD.
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[](https://doi.org/10.5281/zenodo.14622209) [](https://arxiv.org/abs/2501.05841) [](https://creativecommons.org/licenses/by-nc-sa/4.0/)  
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## Importing The Data
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