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@@ -24,6 +24,17 @@ pretty_name: EduRABSA_SLM_v1_Test_data
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  [cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png
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  [cc-by-nc-sa-shield]: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg
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  # EduRABSA_SLM_v1_Test_data
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@@ -54,15 +65,3 @@ To cite this dataset:
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  ```
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- # Licence and Copyright
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-
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- [![CC BY-NC-SA 4.0][cc-by-nc-sa-shield]][cc-by-nc-sa]   [![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]
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- Copyright (c) 2025 Authors of [Data-Efficient Adaptation and a Novel Evaluation Method for Aspect-based Sentiment Analysis](https://arxiv.org/abs/2511.03034).
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- Both the original, and the formatted versions of the **EduRABSA dataset** presented in this repository are under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa] (CC BY-NC-SA 4.0).
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- Attribution is required. You may not use this dataset for commercial purposes.
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- Any derivatives must be shared under CC BY-NC-SA 4.0.
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-
 
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  [cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png
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  [cc-by-nc-sa-shield]: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg
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+ # Licence and Copyright
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+
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+ [![CC BY-NC-SA 4.0][cc-by-nc-sa-shield]][cc-by-nc-sa]   [![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]
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+ Copyright (c) 2025 Authors of [Data-Efficient Adaptation and a Novel Evaluation Method for Aspect-based Sentiment Analysis](https://arxiv.org/abs/2511.03034).
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+
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+ Both the original, and the formatted versions of the **EduRABSA dataset** presented in this repository are under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa] (CC BY-NC-SA 4.0).
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+ Attribution is required. You may not use this dataset for commercial purposes.
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+ Any derivatives must be shared under CC BY-NC-SA 4.0.
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  # EduRABSA_SLM_v1_Test_data
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  ```
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