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--- |
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license: mit |
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task_categories: |
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- tabular-classification |
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language: |
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- ru |
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tags: |
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- tables |
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- column-type-annotation |
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- sti |
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- russian |
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pretty_name: RWT-RuTaBERT |
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size_categories: |
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- 1M<n<10M |
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--- |
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# RWT-RuTaBERT |
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Dataset based on [Russian Web Tables](https://arxiv.org/abs/2210.06353) (RWT), which is a corpus of Russian language tables from Wikipedia. |
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Only relational tables were chosen from _RWT_ with headers matching selected **170** DBpedia semantic types. |
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Dataset contains `1 441 349` columns, and has fixed train / test split. |
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| Split | Columns | Tables | Avg. columns per table | |
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|-------|-----------| ------- | ---------------------- | |
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| Test | 115 448 | 55 080 | 2.096 | |
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| Train | 1 325 901 | 633 426 | 2.093 | |
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## Table of contents |
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- [RWT-RuTaBERT](#rwt-rutabert) |
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* [Train statistics](#train-statistics) |
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- [Most frequent column sizes](#most-frequent-column-sizes) |
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- [Least frequent column sizes](#least-frequent-column-sizes) |
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- [Most frequent labels](#most-frequent-labels) |
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- [Least frequent labels](#least-frequent-labels) |
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* [Test statistics](#test-statistics) |
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- [Most frequent column sizes](#most-frequent-column-sizes-1) |
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- [Least frequent column sizes](#least-frequent-column-sizes-1) |
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- [Most frequent labels](#most-frequent-labels-1) |
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- [Least frequent labels](#least-frequent-labels-1) |
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* [Instruction to reproduce dataset](#instruction-to-reproduce-dataset) |
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## Train statistics |
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#### Most frequent column sizes |
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| Column size | Occurances | |
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| ------- | -------- | |
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| 1 | 257890 | |
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| 2 | 172414 | |
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| 3 | 124635 | |
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| 4 | 54886 | |
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| 5 | 18532 | |
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| 6 | 3404 | |
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| 7 | 733 | |
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| 8 | 254 | |
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| 9 | 234 | |
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| 18 | 221 | |
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#### Least frequent column sizes |
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| Column size | Occurances | |
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| ------- | -------- | |
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| 19 | 6 | |
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| 40 | 6 | |
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| 16 | 5 | |
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| 38 | 5 | |
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| 29 | 4 | |
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| 20 | 4 | |
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| 21 | 4 | |
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| 37 | 2 | |
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| 39 | 2 | |
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| 17 | 2 | |
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#### Most frequent labels |
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| Label | Occurances | |
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| ------- | -------- | |
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| год | 230016 | |
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| название | 170812 | |
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| место | 103986 | |
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| дата | 97228 | |
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| команда | 75032 | |
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| результат | 52730 | |
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| примечание | 48635 | |
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| актер | 38959 | |
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| страна | 36754 | |
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| турнир | 33175 | |
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#### Least frequent labels |
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| Label | Occurances | |
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| ------- | -------- | |
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| континент | 92 | |
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| роман | 89 | |
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| закон | 89 | |
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| борец | 88 | |
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| колледж | 87 | |
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| музей | 86 | |
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| фирма | 85 | |
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| дорога | 83 | |
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| префектура | 83 | |
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| цитата | 76 | |
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## Test statistics |
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#### Most frequent column sizes |
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| Column size | Occurances | |
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| ------- | -------- | |
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| 1 | 22491 | |
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| 2 | 14923 | |
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| 3 | 10798 | |
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| 4 | 4801 | |
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| 5 | 1614 | |
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| 6 | 299 | |
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| 7 | 69 | |
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| 18 | 21 | |
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| 8 | 19 | |
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| 9 | 18 | |
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#### Least frequent column sizes |
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| Column size | Occurances | |
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| ------- | -------- | |
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| 13 | 3 | |
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| 36 | 2 | |
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| 20 | 1 | |
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| 16 | 1 | |
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| 21 | 1 | |
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| 14 | 1 | |
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| 39 | 1 | |
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| 37 | 1 | |
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| 38 | 1 | |
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| 11 | 1 | |
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#### Most frequent labels |
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| Label | Occurances | |
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| ------- | -------- | |
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| год | 19854 | |
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| название | 14748 | |
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| место | 9004 | |
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| дата | 8408 | |
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| команда | 6653 | |
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| результат | 4653 | |
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| примечание | 4203 | |
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| актер | 3435 | |
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| страна | 3217 | |
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| турнир | 2911 | |
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#### Least frequent labels |
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| Label | Occurances | |
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| ------- | -------- | |
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| цитата | 7 | |
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| дорога | 6 | |
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| статья | 6 | |
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| фирма | 6 | |
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| сообщество | 5 | |
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| колледж | 5 | |
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| борец | 5 | |
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| музей | 4 | |
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| банк | 4 | |
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| камера | 4 | |
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## Links |
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- [RuTaBert (model that was trained on this dataset)](https://huggingface.co/sti-team/rutabert-base) |
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- [RuTaBERT paper includes information about creation of RWT-RuTaBERT dataset](https://ieeexplore.ieee.org/document/10659709) |
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## Citation |
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``` |
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@INPROCEEDINGS{10659709, |
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author={Tobola, Kirill V. and Dorodnykh, Nikita O.}, |
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booktitle={2024 Ivannikov Memorial Workshop (IVMEM)}, |
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title={Semantic Annotation of Russian-Language Tables Based on a Pre-Trained Language Model}, |
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year={2024}, |
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volume={}, |
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number={}, |
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pages={62-68}, |
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keywords={Annotations;Semantics;Layout;Training data;Knowledge graphs;Encyclopedias;Linguistics;tabular data;Russian-language tables;pre-trained language model;semantic table interpretation;column annotation;knowledge graph}, |
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doi={10.1109/IVMEM63006.2024.10659709} |
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} |
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``` |
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