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@@ -34,20 +34,20 @@ ind
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  Sentiment Analysis.
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  ## Dataset Usage
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- ### Using `datasets` library
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- ```
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  from datasets import load_dataset
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  dset = datasets.load_dataset("SEACrowd/indolem_sentiment", trust_remote_code=True)
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- ```
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- ### Using `seacrowd` library
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- ```import seacrowd as sc
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- # Load the dataset using the default config
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  dset = sc.load_dataset("indolem_sentiment", schema="seacrowd")
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- # Check all available subsets (config names) of the dataset
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  print(sc.available_config_names("indolem_sentiment"))
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- # Load the dataset using a specific config
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  dset = sc.load_dataset_by_config_name(config_name="<config_name>")
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- ```
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  More details on how to load the `seacrowd` library can be found [here](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).
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@@ -64,27 +64,27 @@ SEACrowd: 2024.06.20
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  ## Dataset License
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  Creative Commons Attribution Share-Alike 4.0 International
 
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-
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- ## Citation
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  If you are using the **Indolem Sentiment** dataloader in your work, please cite the following:
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- ```
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  @article{DBLP:journals/corr/abs-2011-00677,
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- author = {Fajri Koto and
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- Afshin Rahimi and
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- Jey Han Lau and
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- Timothy Baldwin},
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- title = {IndoLEM and IndoBERT: {A} Benchmark Dataset and Pre-trained Language
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- Model for Indonesian {NLP}},
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- journal = {CoRR},
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- volume = {abs/2011.00677},
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- year = {2020},
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- url = {https://arxiv.org/abs/2011.00677},
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- eprinttype = {arXiv},
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- eprint = {2011.00677},
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- timestamp = {Fri, 06 Nov 2020 15:32:47 +0100},
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- biburl = {https://dblp.org/rec/journals/corr/abs-2011-00677.bib},
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- bibsource = {dblp computer science bibliography, https://dblp.org}
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  }
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@@ -96,5 +96,5 @@ Creative Commons Attribution Share-Alike 4.0 International
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  journal={arXiv preprint arXiv: 2406.10118}
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  }
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- ```
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  Sentiment Analysis.
35
 
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  ## Dataset Usage
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+ ### Using `datasets` library
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+ ```
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  from datasets import load_dataset
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  dset = datasets.load_dataset("SEACrowd/indolem_sentiment", trust_remote_code=True)
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+ ```
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+ ### Using `seacrowd` library
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+ ```import seacrowd as sc
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+ # Load the dataset using the default config
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  dset = sc.load_dataset("indolem_sentiment", schema="seacrowd")
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+ # Check all available subsets (config names) of the dataset
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  print(sc.available_config_names("indolem_sentiment"))
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+ # Load the dataset using a specific config
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  dset = sc.load_dataset_by_config_name(config_name="<config_name>")
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+ ```
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  More details on how to load the `seacrowd` library can be found [here](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).
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  ## Dataset License
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  Creative Commons Attribution Share-Alike 4.0 International
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+
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+ ## Citation
 
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  If you are using the **Indolem Sentiment** dataloader in your work, please cite the following:
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+ ```
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  @article{DBLP:journals/corr/abs-2011-00677,
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+ author = {Fajri Koto and
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+ Afshin Rahimi and
75
+ Jey Han Lau and
76
+ Timothy Baldwin},
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+ title = {IndoLEM and IndoBERT: {A} Benchmark Dataset and Pre-trained Language
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+ Model for Indonesian {NLP}},
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+ journal = {CoRR},
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+ volume = {abs/2011.00677},
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+ year = {2020},
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+ url = {https://arxiv.org/abs/2011.00677},
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+ eprinttype = {arXiv},
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+ eprint = {2011.00677},
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+ timestamp = {Fri, 06 Nov 2020 15:32:47 +0100},
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+ biburl = {https://dblp.org/rec/journals/corr/abs-2011-00677.bib},
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+ bibsource = {dblp computer science bibliography, https://dblp.org}
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  }
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  journal={arXiv preprint arXiv: 2406.10118}
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  }
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+ ```
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