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--- |
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license: cc-by-4.0 |
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tags: |
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- next-sentence-prediction |
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language: |
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- ind |
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--- |
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# indolem_ntp |
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NTP (Next Tweet prediction) is one of the comprehensive Indonesian benchmarks that given a list of tweets and an option, we predict if the option is the next tweet or not. |
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This task is similar to the next sentence prediction (NSP) task used to train BERT (Devlin et al., 2019). |
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In NTP, each instance consists of a Twitter thread (containing 2 to 4 tweets) that we call the premise, and four possible options for the next tweet, one of which is the actual response from the original thread. |
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Train: 5681 threads |
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Development: 811 threads |
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Test: 1890 threads |
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## Dataset Usage |
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Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`. |
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## Citation |
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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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``` |
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## License |
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Creative Commons Attribution 4.0 |
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## Homepage |
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[https://indolem.github.io/](https://indolem.github.io/) |
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### NusaCatalogue |
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For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue) |
