w11wo/reddit_indonesia_sarcastic

Reddit Indonesia Sarcastic

Reddit Indonesia Sarcastic is a dataset intended for sarcasm detection in the Indonesian language. This dataset is inspired by the data collection procedure introduced in Ranti, K.S., & Girsang, A.S (2020), whereby Reddit comments from r/indonesia subreddit are collected and filtered by the existence of an /s tag at the end of the comment. We collected Reddit comments from 2020-01 to 2023-09 from Academic Torrents and applied the aforementioned procedure. Further, we performed deduplication with minHash LSH, PII masking to remove usernames, hashtags, emails, URLs, and finally a random sampling to limit the non-sarcastic comments. Following SemEval-2022 Task 6: iSarcasmEval, we used a 1:3 ratio to balance sarcastic with non-sarcastic comments.

Dataset Structure

Data Instances

{
    "author": "curuya",
    "created_utc": 1584876528,
    "score": 7,
    "permalink": "/r/indonesia/comments/fmxhfe/jangan_takut_sama_corona_takut_sama_allah/fl6n993/",
    "subreddit": "indonesia",
    "body": 'taat perintah tuhan : "kalau ada razia mendingan kabur" /s',
    "lang_fastText": "id",
    "label": 1,
    "text": 'taat perintah tuhan : "kalau ada razia mendingan kabur"',
}

Data Fields

• author: Comment author.
• created_utc: Comment creation time, in UTC.
• score: Comment's Reddit voting score.
• permalink: Permalink to the Reddit comment.
• subreddit: Subreddit name.
• body: Raw Reddit comment content.
• lang_fastText: Language detected by fasttext-langdetect.
• label: 0 for non-sarcastic, 1 for sarcastic.
• text: Sarcastic tag-removed, PII-masked version of body.

Data Splits

Split	#sarcastic	#non sarcastic	#total
train	2470	7411	9881
test	706	2118	2824
validation	353	1058	1411
Total (balanced)	3529	10587	14116
Total (unbalanced)	3529	2616335	2619864

Dataset Directory

reddit_indonesia_sarcastic/
├── README.md
├── data    # re-balanced dataset
│   ├── test.json
│   ├── train.json
│   └── validation.json
└── raw_data    # raw unbalanced dataset
    └── reddit_indonesia_sarcastic.json

Authors

Reddit Indonesia Sarcastic is prepared by:

References

@article{Ranti2020IndonesianSD,
    title={Indonesian Sarcasm Detection Using Convolutional Neural Network},
    author={Kiefer Stefano Ranti and Abba Suganda Girsang},
    journal={International Journal of Emerging Trends in Engineering Research},
    year={2020},
    url={https://doi.org/10.30534/ijeter/2020/10892020}
}

@article{academicReddit,
    title= {Reddit comments/submissions 2005-06 to 2023-09},
    journal= {},
    author= {stuck_in_the_matrix, Watchful1, RaiderBDev},
    year= {},
    url= {},
    abstract= {Reddit comments and submissions from 2005-06 to 2023-09 collected by pushshift and u/RaiderBDev. These are zstandard compressed ndjson files. Example python scripts for parsing the data can be found here https://github.com/Watchful1/PushshiftDumps},
    keywords= {reddit},
    terms= {},
    license= {},
    superseded= {}
}

@inproceedings{abu-farha-etal-2022-semeval,
    title = "{S}em{E}val-2022 Task 6: i{S}arcasm{E}val, Intended Sarcasm Detection in {E}nglish and {A}rabic",
    author = "Abu Farha, Ibrahim  and
      Oprea, Silviu Vlad  and
      Wilson, Steven  and
      Magdy, Walid",
    editor = "Emerson, Guy  and
      Schluter, Natalie  and
      Stanovsky, Gabriel  and
      Kumar, Ritesh  and
      Palmer, Alexis  and
      Schneider, Nathan  and
      Singh, Siddharth  and
      Ratan, Shyam",
    booktitle = "Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)",
    month = jul,
    year = "2022",
    address = "Seattle, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.semeval-1.111",
    doi = "10.18653/v1/2022.semeval-1.111",
    pages = "802--814",
}