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fix formatting

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  1. README.md +2 -11
README.md CHANGED
@@ -55,7 +55,7 @@ size_categories:
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  - `related_document_urls_wayback_snapshots`: A list of URLs to web archive snapshots of related documents corresponding references from WikiHow article.
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  - `split`: The split of the dataset that the instance belongs to ('train', 'validation', or 'test').
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  - `cluster`: An integer identifier for the cluster that the instance belongs to. <!-- The dataset is split into 'train', 'validation', and 'test' such that all instances from the same cluster belong to the same split. This is to ensure that there is no intersection of paraphrased questions across different splits. If you plan to create a new split of the dataset, it is important to maintain this clustering to avoid data leakage between splits. -->
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- - `answer_tokenized`: The tokenized answer. This includes the full text of the answer, a list of sentences in the answer, and the language of the answer.
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  <a name="dataset-instances"></a>
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  ### Data Instances
@@ -115,22 +115,13 @@ The main dataset part is distributed under the Creative Commons Attribution (CC
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  Please cite the following paper if you use this dataset:
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  ```bibtex
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- @inproceedings{nguyen2021trankit,
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- title={Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing},
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- author={Nguyen, Minh Van and Lai, Viet Dac and Veyseh, Amir Pouran Ben and Nguyen, Thien Huu},
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- booktitle="Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",
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- year={2021}
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- }
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-
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-
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-
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  @inproceedings{bolotova2023wikihowqa,
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  title={WikiHowQA: A Comprehensive Benchmark for Multi-Document Non-Factoid Question Answering},
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  author={Bolotova, Valeriia and Blinov, Vladislav and Filippova, Sofya and Scholer, Falk and Sanderson, Mark},
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  booktitle="Proceedings of the 61th Conference of the Association for Computational Linguistics",
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  year={2023}
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  }
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-
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  <a name="considerations"></a>
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  ## Considerations for Using the Data
 
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  - `related_document_urls_wayback_snapshots`: A list of URLs to web archive snapshots of related documents corresponding references from WikiHow article.
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  - `split`: The split of the dataset that the instance belongs to ('train', 'validation', or 'test').
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  - `cluster`: An integer identifier for the cluster that the instance belongs to. <!-- The dataset is split into 'train', 'validation', and 'test' such that all instances from the same cluster belong to the same split. This is to ensure that there is no intersection of paraphrased questions across different splits. If you plan to create a new split of the dataset, it is important to maintain this clustering to avoid data leakage between splits. -->
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+ - `answer_tokenized`: The tokenized answer using [Trankit library](https://github.com/nlp-uoregon/trankit/tree/master) This includes the full text of the answer, a list of sentences in the answer, and the language of the answer.
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  <a name="dataset-instances"></a>
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  ### Data Instances
 
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  Please cite the following paper if you use this dataset:
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  ```bibtex
 
 
 
 
 
 
 
 
 
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  @inproceedings{bolotova2023wikihowqa,
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  title={WikiHowQA: A Comprehensive Benchmark for Multi-Document Non-Factoid Question Answering},
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  author={Bolotova, Valeriia and Blinov, Vladislav and Filippova, Sofya and Scholer, Falk and Sanderson, Mark},
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  booktitle="Proceedings of the 61th Conference of the Association for Computational Linguistics",
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  year={2023}
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  }
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+ ```
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  <a name="considerations"></a>
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  ## Considerations for Using the Data