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--- |
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license: cc-by-nc-sa-4.0 |
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language: |
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- eu |
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pretty_name: BL2MP |
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size_categories: |
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- 1K<n<10K |
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--- |
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# BL2MP (Basque L2 student-based Minimal Pairs) |
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The BL2MP test set, designed to assess the grammatical knowledge of language Models in the Basque language, inspired by the BLiMP benchmark. The BL2MP dataset includes examples sourced from the [bai&by](https://www.baiby.com/en/) language academy, |
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derived from essays written by students enrolled at the academy. These instances provide a wealth of authentic and natural grammatical errors, representing genuine mistakes made by learners and |
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thus offering a realistic reflection of real-world language errors. |
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We randomly selected 1,800 sentences from student essays provided by the bai&by academy, adhering consistently to the ”minimal pairs” criterion. To ensure a balanced diversity, we ensured an |
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equal distribution of examples across three proficiency levels (A: Beginner, B: Intermediate, and C: Advanced) and three error types (E1: Declension, E2: Verb, E3: Structure and Order) , as shown in |
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the Table below. This approach aimed to represent a vari ety of proficiency levels and error types within the dataset. |
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See our paper [*How Well Can BERT Learn the Grammar of an Agglutinative and Flexible-Order Language? The Case of Basque.*]() accepted at LREC-COLING2024 and check our [Github](https://github.com/orai-nlp/bl2mp) for more. |
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| Types | Levels | \# of sentences | |
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|----------------------------------------------------------|--------|-----------------| |
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| E1: Declension | A | 200 | |
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| | B | 200 | |
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| | C | 200 | |
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| E2: Verb | A | 200 | |
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| | B | 200 | |
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| | C | 200 | |
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| E3: Structure | A | 200 | |
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| | B | 200 | |
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| | C | 200 | |
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| Total | | 1,800 | |
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Authors |
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Gorka Urbizu [1] [2], Muitze Zulaika [1], Xabier Saralegi [1], Ander Corral [1] |
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Affiliation of the authors: |
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[1] Orai NLP Technologies |
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[2] University of the Basque Country |
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Licensing |
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Copyright (C) by Orai NLP Technologies. |
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The corpora, datasets and models created in this work, are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0. |
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International License (CC BY-NC-SA 4.0). To view a copy of this license, visit [http://creativecommons.org/licenses/by-nc-sa/4.0/](https://creativecommons.org/licenses/by-nc-sa/4.0/). |
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Acknowledgements |
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If you use these corpora, datasets or models please cite the following paper: |
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- G. Urbizu, M. Zulaika, X. Saralegi, A. Corral. How Well Can BERT Learn the Grammar of an Agglutinative and Flexible-Order Language? The Case of Basque. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING2024). May, 2024. Torino, Italy |
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Contact information |
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Gorka Urbizu, Muitze Zulaika: {g.urbizu,m.zulaika}@orai.eus |
