Datasets:
Tasks:
Token Classification
Sub-tasks:
parsing
add example usage for brat script
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README.md
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-instances)
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- [Additional Information](#additional-information)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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-notes:
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```
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## Additional Information
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-instances)
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- [Usage](#usage)
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- [Additional Information](#additional-information)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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-notes:
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```
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### Usage
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brat script can be used by calling `load_dataset()` method and passing `kwargs` (arguments to the [BuilderConfig](https://huggingface.co/docs/datasets/v2.2.1/en/package_reference/builder_classes#datasets.BuilderConfig)) which should include at least `url` of the dataset prepared using brat. We provide an example of [SciArg](https://aclanthology.org/W18-5206.pdf) dataset below,
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```python
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from datasets import load_dataset
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kwargs = {
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"description" :
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"""This dataset is an extension of the Dr. Inventor corpus (Fisas et al., 2015, 2016) with an annotation layer containing
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fine-grained argumentative components and relations. It is the first argument-annotated corpus of scientific
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publications (in English), which allows for joint analyses of argumentation and other rhetorical dimensions of
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scientific writing.""",
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"citation" :
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"""@inproceedings{lauscher2018b,
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title = {An argument-annotated corpus of scientific publications},
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booktitle = {Proceedings of the 5th Workshop on Mining Argumentation},
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publisher = {Association for Computational Linguistics},
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author = {Lauscher, Anne and Glava\v{s}, Goran and Ponzetto, Simone Paolo},
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address = {Brussels, Belgium},
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year = {2018},
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pages = {40–46}
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}""",
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"homepage": "https://github.com/anlausch/ArguminSci",
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"url": "http://data.dws.informatik.uni-mannheim.de/sci-arg/compiled_corpus.zip",
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"file_name_blacklist": ['A28'],
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}
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dataset = load_dataset('dfki-nlp/brat', **kwargs)
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```
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## Additional Information
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