Datasets › Experiment-data-for-UM-S-TM
Experiment-data-for-UM-S-TM
0.This is experiment data for the following article: @misc{liu2021topic, title={Topic Model Supervised by Understanding Map}, author={Gangli Liu}, year={2021}, eprint={2110.06043}, archivePrefix={arXiv}, primaryClass={cs.CL} }
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*.txt files are the data of Table 4 of the paper.
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The top lines of all the *.txt files are contents of the artificial documents. Column names are : "Topic", "Distance", "Topic-len", "alpha"/"Noise" , "doc concept-length", and "Votes counter".
3.Coding of file names of *.txt files see "Table 4: Discovered SCOM of six documents". "all_topic" means the candidate topic set is all the topics in a domain.
4.For the "300docs-mentioned-in-section3.2.xlsx" file, its name tells its contents.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Experiment-data-for-UM-S-TM
1 variant name, as the archive lists them.
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