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Update link to Zenodo to resolve to the last version

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README.md CHANGED
@@ -26,13 +26,13 @@ The Russian Financial Statements Database (RFSD) is an open, harmonized collecti
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  - 🏗️ Restores as much data as possible through non-invasive data imputation, statement articulation, and harmonization.
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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: [https://doi.org/10.1038/s41597-025-05150-1](https://doi.org/10.1038/s41597-025-05150-1).
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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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- [![Zenodo](http://img.shields.io/badge/DOI-10.5281%20%2F%20zenodo.14622209-blue.svg)](https://doi.org/10.5281/zenodo.14622209) [![Paper-publication](https://img.shields.io/badge/Scientific-Data-darkred)](https://www.nature.com/articles/s41597-025-05150-1) [![arXiv](https://img.shields.io/badge/arXiv-2501.05841-b31b1b.svg)](https://arxiv.org/abs/2501.05841) [![License: CC BY-NC-SA 4.0](https://img.shields.io/badge/License-CC_BY—NC—SA_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc-sa/4.0/) ![R](https://img.shields.io/badge/R-4.0+-blue) ![Python](https://img.shields.io/badge/Python-3.10+-blue.svg)
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  ## Importing The Data
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  - 🏗️ Restores as much data as possible through non-invasive data imputation, statement articulation, and harmonization.
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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.14622208) 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: [https://doi.org/10.1038/s41597-025-05150-1](https://doi.org/10.1038/s41597-025-05150-1).
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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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+ [![Zenodo](http://img.shields.io/badge/DOI-10.5281%20%2F%20zenodo.14622208-blue.svg)](https://doi.org/10.5281/zenodo.14622208) [![Paper-publication](https://img.shields.io/badge/Scientific-Data-darkred)](https://www.nature.com/articles/s41597-025-05150-1) [![arXiv](https://img.shields.io/badge/arXiv-2501.05841-b31b1b.svg)](https://arxiv.org/abs/2501.05841) [![License: CC BY-NC-SA 4.0](https://img.shields.io/badge/License-CC_BY—NC—SA_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc-sa/4.0/) ![R](https://img.shields.io/badge/R-4.0+-blue) ![Python](https://img.shields.io/badge/Python-3.10+-blue.svg)
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  ## Importing The Data
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