Datasets:
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README.md
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@@ -61,6 +61,24 @@ It is splitted into train, dev, and test set with following information:
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2. Dev set: 1,106 comments
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3. Test set: 1,106 comments
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## Data Structure
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Here is our data folder structure!
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```
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- **word**: Words in the sentence after the processing of tokenization using [VnCoreNLP](https://github.com/vncorenlp/VnCoreNLP) tokenizer
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- **tag**: The tag of the word. The tag is either B-T (beginning of a word), I-T (inside of a word), or O (outside of a word).
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- The train_BIO_Word and dev_BIO_Word file are used for training and validation for PhoBERT model, respectively.
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- The test_BIO_Word file is used for reference only. It is not used for testing the model. **Please use the test.csv file in the
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### Span Extraction-based version
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Description:
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2. Dev set: 1,106 comments
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3. Test set: 1,106 comments
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## Data Instance
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An span extraction-based (see Data Structure for more details) example of 'test' looks as follows:
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```
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{
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"content": "Thối CC chỉ không ngửi đuợc thôi",
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'index_spans': "[0, 1, 2, 3, 5, 6]"
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}
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```
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An equence labeling-based (see Data Structure for more details) example of 'test' looks as follows:
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```
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{
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"content": "Thối CC chỉ không ngửi đuợc thôi",
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'index_spans': ["B-T", "I-T", "O", "O", "O", "O", "O"]
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}
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```
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## Data Structure
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Here is our data folder structure!
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```
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- **word**: Words in the sentence after the processing of tokenization using [VnCoreNLP](https://github.com/vncorenlp/VnCoreNLP) tokenizer
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- **tag**: The tag of the word. The tag is either B-T (beginning of a word), I-T (inside of a word), or O (outside of a word).
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- The train_BIO_Word and dev_BIO_Word file are used for training and validation for PhoBERT model, respectively.
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- The test_BIO_Word file is used for reference only. It is not used for testing the model. **Please use the test.csv file in the data/test folder for testing the model.**
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### Span Extraction-based version
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Description:
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