Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
csv
Languages:
Portuguese
Size:
10K - 100K
Tags:
legal
DOI:
License:
MartimZanatti
commited on
Update README.md
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/624451f15c844bfbab83df35/G7KCYJtrisY6HCE2Ali5U.png)
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/624451f15c844bfbab83df35/G7KCYJtrisY6HCE2Ali5U.png)
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Work developed as part of [IRIS] (https://www.inesc-id.pt/projects/PR07005/)
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## Extreme Multi-Label Classification of descriptors
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The goal of this dataset is to train an Extreme Multi-Label classifier that given a judgment of the Supreme Court of Justice of Portugal (STJ) can associate descriptors of STJ.
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**The Dataset contains:**
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- id of the judgment
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- section of the STJ where it belongs
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- the judgment text
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- a list of 0's and 1's, where 1's correspond to active descriptors
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The dataset is divided into sections of the STJ and inside each section is divided in train and test
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There is a python file "label.py" that contains a list for each section containing the descriptors names in the same order of the 0's and 1's list in the dataset
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