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dfki-nlp commited on
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add example usage for brat script

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  1. README.md +30 -0
README.md CHANGED
@@ -18,6 +18,7 @@ task_ids:
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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)
@@ -51,6 +52,35 @@ Dataset annotated with brat format is processed using this script. Annotations c
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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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+
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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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+
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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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+
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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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