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--- |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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dataset_info: |
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features: |
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- name: instruction |
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dtype: string |
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- name: input |
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dtype: string |
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- name: output |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 2282530 |
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num_examples: 8384 |
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download_size: 931750 |
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dataset_size: 2282530 |
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license: afl-3.0 |
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task_categories: |
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- text-classification |
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- question-answering |
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- sentence-similarity |
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language: |
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- nl |
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tags: |
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- healthcare |
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pretty_name: HealthAdvice_Dutch |
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size_categories: |
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- 1K<n<10K |
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--- |
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|
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# Dataset Card for "HealthAdvice_Dutch_translated_with_MariaNMT" |
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|
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Translation of the **English** version of [HealthAdvice](https://huggingface.co/datasets/medalpaca/medical_meadow_health_advice), |
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to **Dutch** using an [Maria NMT model](https://marian-nmt.github.io/), trained by [Helsinki NLP](https://huggingface.co/Helsinki-NLP/opus-mt-en-nl). |
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Note, for reference: Maria NMT is based on [BART](https://huggingface.co/docs/transformers/model_doc/bart), described [here](https://arxiv.org/abs/1910.13461). |
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|
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# Attribution |
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If you use this dataset please use the following to credit the creators of the Health Advice corpus: |
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|
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```citation |
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@inproceedings{yu-etal-2019-detecting, |
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title = "Detecting Causal Language Use in Science Findings", |
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author = "Yu, Bei and |
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Li, Yingya and |
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Wang, Jun", |
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booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)", |
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month = nov, |
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year = "2019", |
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address = "Hong Kong, China", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/D19-1473", |
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doi = "10.18653/v1/D19-1473", |
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pages = "4664--4674", |
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} |
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``` |
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The creators of the OPUS-MT models: |
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``` |
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@InProceedings{TiedemannThottingal:EAMT2020, |
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author = {J{\"o}rg Tiedemann and Santhosh Thottingal}, |
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title = {{OPUS-MT} — {B}uilding open translation services for the {W}orld}, |
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booktitle = {Proceedings of the 22nd Annual Conferenec of the European Association for Machine Translation (EAMT)}, |
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year = {2020}, |
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address = {Lisbon, Portugal} |
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} |
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``` |
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and |
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|
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``` |
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@misc {van_es_2023, |
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author = { {Bram van Es} }, |
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title = { HealthAdvice_Dutch_translated_with_MariaNMT (Revision ae2436a) }, |
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year = 2023, |
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url = { https://huggingface.co/datasets/UMCU/HealthAdvice_Dutch_translated_with_MariaNMT }, |
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doi = { 10.57967/hf/1481 }, |
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publisher = { Hugging Face } |
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} |
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``` |
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# License |
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|
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For both the Maria NMT model and the original [Helsinki NLP](https://twitter.com/HelsinkiNLP) [Opus MT model](https://huggingface.co/Helsinki-NLP) |
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we did **not** find a license. We also did not find a license for the HealthAdvice corpus. For these reasons we use an academic free license v3. |
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license. If this was in error please let us know and we will add the appropriate licensing promptly. |
