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indonesia-sarcastic/README.md
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---
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license: apache-2.0
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language:
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- ind
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pretty_name: "Reddit Indonesia Sarcastic"
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---
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# Reddit Indonesia Sarcastic
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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)](http://www.warse.org/IJETER/static/pdf/file/ijeter10892020.pdf), 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](https://academictorrents.com/details/89d24ff9d5fbc1efcdaf9d7689d72b7548f699fc) 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](https://aclanthology.org/2022.semeval-1.111/), we used a 1:3 ratio to balance sarcastic with non-sarcastic comments.
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## Dataset Structure
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### Data Instances
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```py
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{
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"author": "curuya",
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"created_utc": 1584876528,
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"score": 7,
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"permalink": "/r/indonesia/comments/fmxhfe/jangan_takut_sama_corona_takut_sama_allah/fl6n993/",
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"subreddit": "indonesia",
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"body": 'taat perintah tuhan : "kalau ada razia mendingan kabur" /s',
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"lang_fastText": "id",
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"label": 1,
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"text": 'taat perintah tuhan : "kalau ada razia mendingan kabur"',
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}
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```
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### Data Fields
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- `author`: Comment author.
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- `created_utc`: Comment creation time, in UTC.
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- `score`: Comment's Reddit voting score.
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- `permalink`: Permalink to the Reddit comment.
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- `subreddit`: Subreddit name.
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- `body`: Raw Reddit comment content.
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- `lang_fastText`: Language detected by [fasttext-langdetect](https://github.com/zafercavdar/fasttext-langdetect).
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- `label`: `0` for non-sarcastic, `1` for sarcastic.
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- `text`: Sarcastic tag-removed, PII-masked version of `body`.
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### Data Splits
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| Split | #sarcastic | #non sarcastic | #total |
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| ------------------ | :--------: | :------------: | :-----: |
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| `train` | 2470 | 7411 | 9881 |
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| `test` | 706 | 2118 | 2824 |
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| `validation` | 353 | 1058 | 1411 |
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| Total (balanced) | 3529 | 10587 | 14116 |
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| Total (unbalanced) | 3529 | 2616335 | 2619864 |
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### Dataset Directory
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```sh
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reddit_indonesia_sarcastic/
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├── README.md
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├── data # re-balanced dataset
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│ ├── test.json
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│ ├── train.json
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│ └── validation.json
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└── raw_data # raw unbalanced dataset
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└── reddit_indonesia_sarcastic.json
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```
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## Authors
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Reddit Indonesia Sarcastic is prepared by:
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<a href="https://github.com/w11wo">
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<img src="https://github.com/w11wo.png" alt="GitHub Profile" style="border-radius: 50%;width: 64px;border: solid 1px #fff;margin:0 4px;">
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</a>
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## References
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```bibtex
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@article{Ranti2020IndonesianSD,
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title={Indonesian Sarcasm Detection Using Convolutional Neural Network},
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author={Kiefer Stefano Ranti and Abba Suganda Girsang},
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journal={International Journal of Emerging Trends in Engineering Research},
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year={2020},
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url={https://doi.org/10.30534/ijeter/2020/10892020}
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}
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@article{academicReddit,
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title= {Reddit comments/submissions 2005-06 to 2023-09},
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journal= {},
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author= {stuck_in_the_matrix, Watchful1, RaiderBDev},
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year= {},
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url= {},
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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},
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keywords= {reddit},
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terms= {},
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license= {},
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superseded= {}
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}
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@inproceedings{abu-farha-etal-2022-semeval,
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title = "{S}em{E}val-2022 Task 6: i{S}arcasm{E}val, Intended Sarcasm Detection in {E}nglish and {A}rabic",
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author = "Abu Farha, Ibrahim and
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Oprea, Silviu Vlad and
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Wilson, Steven and
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Magdy, Walid",
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editor = "Emerson, Guy and
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Schluter, Natalie and
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Stanovsky, Gabriel and
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Kumar, Ritesh and
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Palmer, Alexis and
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Schneider, Nathan and
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Singh, Siddharth and
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Ratan, Shyam",
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booktitle = "Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)",
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month = jul,
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year = "2022",
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address = "Seattle, United States",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2022.semeval-1.111",
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doi = "10.18653/v1/2022.semeval-1.111",
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pages = "802--814",
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}
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```
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indonesia-sarcastic/data/test.json
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indonesia-sarcastic/data/train.json
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indonesia-sarcastic/data/validation.json
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indonesia-sarcastic/raw_data/reddit_indonesia_sarcastic.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c38a7767df1645df4745c6aec9aff0eb2421d9b7d5e51c3c95f581fb53bf2e9
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size 1185884660
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