Datasets:
Alvant
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add dataset info
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README.md
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@@ -4,3 +4,32 @@ license_name: topicnet
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license_link: >-
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https://github.com/machine-intelligence-laboratory/TopicNet/blob/master/LICENSE.txt
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---
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license_link: >-
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https://github.com/machine-intelligence-laboratory/TopicNet/blob/master/LICENSE.txt
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---
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# Lenta
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Измеряемые характеристики датасета:
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* D — число документов
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* <имя модальности> W — размер словаря данной модальности (количество уникальных токенов)
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* <имя модальности> len D — средняя длина документа в терминах этой модальности (количество слов)
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* <имя модальности> len D uniq — средняя длина документа в уникальных терминах этой модальности (количество уникальных слов)
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| | D | @topmine W | @topmine len D | @topmine len D uniq | @time_n W | @time_n len D | @time_n len D uniq | @lemmatized_title W | @lemmatized_title len D | @lemmatized_title len D uniq | @lemmatized W | @lemmatized len D | @lemmatized len D uniq | @theme W | @theme len D | @theme len D uniq |
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|:------|------------:|--------------------:|------------------------:|-----------------------------:|-------------------:|-----------------------:|----------------------------:|-----------------------------:|---------------------------------:|--------------------------------------:|-----------------------:|---------------------------:|--------------------------------:|------------------:|----------------------:|---------------------------:|
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| value | 263557 | 2.32892e+07 | 88.365 | 83.8258 | 263557 | 1 | 1 | 2.05546e+06 | 7.79894 | 7.72848 | 2.90254e+07 | 110.13 | 84.5878 | 383816 | 1.45629 | 1.45629 |
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Информация о длинах документов в расчёте на модальность:
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| | len_total@topmine | len_total@time_n | len_total@lemmatized_title | len_total@lemmatized | len_total@theme | len_uniq@topmine | len_uniq@time_n | len_uniq@lemmatized_title | len_uniq@lemmatized | len_uniq@theme |
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|:-----|--------------------:|-------------------:|-----------------------------:|-----------------------:|------------------:|-------------------:|------------------:|----------------------------:|----------------------:|-----------------:|
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| mean | 88.365 | 1 | 7.79894 | 110.13 | 1.45629 | 83.8258 | 1 | 7.72848 | 84.5878 | 1.45629 |
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| std | 50.2072 | 0 | 1.86916 | 39.7804 | 0.722741 | 47.5763 | 0 | 1.81461 | 26.7959 | 0.722741 |
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| min | 1 | 1 | 1 | 7 | 1 | 1 | 1 | 1 | 7 | 1 |
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| 25% | 54 | 1 | 6 | 83 | 1 | 51 | 1 | 6 | 66 | 1 |
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| 50% | 77 | 1 | 8 | 104 | 1 | 73 | 1 | 8 | 81 | 1 |
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| 75% | 110 | 1 | 9 | 131 | 2 | 104 | 1 | 9 | 99 | 2 |
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| max | 791 | 1 | 17 | 1000 | 3 | 647 | 1 | 16 | 542 | 3 |
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