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--- |
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language: |
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- bn |
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tags: |
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- toxic comments |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Dataset Card for Dataset Name |
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## Dataset Description |
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- **Homepage:** |
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- **Repository:** |
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- [Toxic-Comment-Detection-BN](https://github.com/imbodrulalam/Toxic-Comment-Detection-BN) |
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- **Paper:** |
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- [Bangla Toxic Comment Classification and Severity Measure Using Deep Learning](https://www.researchgate.net/publication/368895245_Bangla_Toxic_Comment_Classification_and_Severity_Measure_Using_Deep_Learning) |
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- **Leaderboard:** |
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- **Point of Contact:** |
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### Dataset Summary |
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Since the deep learning approach needs a huge number |
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of data for model training so it was a major challenge for |
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us to collect a large amount of data to train our model. |
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Some sample comments that we have collected are given |
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below: |
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ছাগেলর বাƐা ছাগল |
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েদেখ পুড়াই িহজড়ার মেতা েদখেত |
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পাডার েপা পাডা েতাের ময্ানেহােল ডু বাইয়া মারেত পারতাম যিদ |
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We have collected almost 4141 labeled data from the |
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previous work of Bangla toxic comment by Jubaer et al. |
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[6], which are described in table 1. For more data, we have |
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collected a total of 22, 000 comments have been collected |
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from Tiktok, the majority of which are toxic comments. |
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Our experts labeled these comments based on 6 categories |
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that are not mutually exclusive. All the annotators are |
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given clear guidelines on how to rate these comments. |
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The guidelines can be summarized in Table I. |
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The annotated comments are cleaned by removing |
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emoticons, unnecessary punctuation marks, characters, |
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digits, and other symbols as they contribute very little |
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to the context of the comments. |
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### Supported Tasks and Leaderboards |
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[More Information Needed] |
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### Languages |
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[More Information Needed] |
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## Dataset Structure |
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### Data Instances |
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[More Information Needed] |
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### Data Fields |
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[More Information Needed] |
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### Data Splits |
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[More Information Needed] |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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[More Information Needed] |
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### Citation Information |
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[More Information Needed] |
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### Contributions |
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[More Information Needed] |
