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Oct 17, 2025 - Dennis Zhiming TAY
Tay, Dennis Zhiming, 2025, "Jupyter notebooks", https://doi.org/10.21979/N9/HH24MK, DR-NTU (Data), V1
Jupyter notebooks for NLP downstream tasks |
Oct 17, 2025 -
Jupyter notebooks
Jupyter Notebook - 4.1 MB -
MD5: 3cbd6402fe10da2f9c0f61644609a101
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Oct 17, 2025 -
Jupyter notebooks
Jupyter Notebook - 1.1 MB -
MD5: 461a9f4873de0223dc2c787e6065e397
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Oct 17, 2025 -
Jupyter notebooks
Jupyter Notebook - 2.4 MB -
MD5: 050ed1fca1e6e10ebdf96e751bbe0de8
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Oct 17, 2025 -
Jupyter notebooks
Jupyter Notebook - 5.0 MB -
MD5: 73587d213c422884528130fa0c0323b9
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Oct 17, 2025 -
Jupyter notebooks
Jupyter Notebook - 4.0 MB -
MD5: 2d1702cb367cf325f5fa7a07c86a8a06
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Oct 17, 2025 -
Jupyter notebooks
Jupyter Notebook - 1.3 MB -
MD5: f04ce4964e207f4f069f1ac9a96eabff
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Oct 17, 2025 -
Jupyter notebooks
Jupyter Notebook - 2.9 MB -
MD5: 66176e599be56cf48a73eec42d2cb14c
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Oct 17, 2025 - Dennis Zhiming TAY
Tay, Dennis Zhiming, 2025, "Discourse_datasets_NLP", https://doi.org/10.21979/N9/KGGMKZ, DR-NTU (Data), V2, UNF:6:ypWKAxGpNW5Qw93A2vEy6Q== [fileUNF]
Cleaned discourse datasets (with feature scores where appropriate) for downstreamed NLP/ML tasks |
Oct 17, 2025 -
Discourse_datasets_NLP
Tabular Data - 25.1 MB - 5 Variables, 18277 Observations - UNF:6:3VbK9cbU8+UKJO7b4ZCBLg==
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