id int64 18 18.8k | created_at timestamp[ns, tz=UTC]date 2026-02-23 07:30:20 2026-02-24 14:51:09 | updated_at timestamp[ns, tz=UTC]date 2026-02-23 08:08:14 2026-02-24 14:51:09 | doc_name stringclasses 1
value | input stringlengths 11 9.24k | output stringlengths 0 738 | is_personal bool 2
classes | is_sentence bool 2
classes | is_corrected bool 2
classes |
|---|---|---|---|---|---|---|---|---|
1,057 | 2026-02-23T10:51:36.387000Z | 2026-02-23T10:51:36.387000Z | Lec. | Национальный исследовательский университет «Высшая школа экономики», департамент компьютерной инженерии МИЭМ НИУ ВШЭ | false | false | false | |
1,056 | 2026-02-23T10:51:34.711000Z | 2026-02-23T10:51:34.711000Z | Lec. | Перцев А.А., Нам В.С., Матиев М.М | true | false | false | |
1,055 | 2026-02-23T10:51:32.977000Z | 2026-02-23T13:38:45.900000Z | Lec. | ПРИМЕНЕНИЕ ФРЕЙМВОРКА nnU-Net ДЛЯ СЕГМЕНТАЦИИ СЕРДЦА И АОРТЫ НА СНИМКАХ КОМПЬЮТЕРНОЙ ТОМОГРАФИИ | ПРИМЕНЕНИЕ ФРЕЙМВОРКА nnU-Net для сегментации сердца и аорты на снимках компьютерной томографии. | false | true | true |
1,054 | 2026-02-23T10:51:31.087000Z | 2026-02-23T17:28:31.976000Z | Lec. | Для решения задачи мультиклассификации для 2-го уровня ГРНТИ был составлен тренировочный датасет:. удалены экземпляры 207 классов ГРНТИ 2-ого уровня, которые имеют меньше 300 текстов;. удалены экземпляры датасета, текст для которых имеет меньше 10 символов | Для решения задачи мультиклассификации на 2-м уровне ГРНТИ был составлен тренировочный датасет. Удалены экземпляры 207 классов ГРНТИ 2-го уровня, которые имеют меньше 300 текстов. Удалены экземпляры датасета, текст для которых имеет меньше 10 символов. | false | true | true |
1,053 | 2026-02-23T10:51:29.340000Z | 2026-02-23T10:51:29.340000Z | Lec. | Ниже описан процесс обработки данных для дальнейшего обучения:. 1) Для каждой статьи из тренировочного датасета кодируются рубрики ГРНТИ 1-ого уровня числами от 0 до M-1, где M— число уникальных рубрик 2-ого уровня в тренировочных данных, сохраняем словарь, где ключи: рубрики ГРНТИ 2-ого уровня, а значения: кодировки р... | false | false | false | |
1,052 | 2026-02-23T10:51:27.166000Z | 2026-02-23T10:51:27.166000Z | Lec. | Было сделано предположение, что использование словаря сокращений ВИНИТИ РАН при подготовке текстов для классификации окажет позитивное влияние на качество предсказаний | false | true | false | |
1,051 | 2026-02-23T10:51:25.403000Z | 2026-02-23T17:21:28.443000Z | Lec. | Минимальная настройка гиперпараметров: AdamW обычно успешно работает с минимальной настройкой настроек по умолчанию, что упрощает процесс разработки модели | Минимальная настройка гиперпараметров: AdamW обычно успешно работает с минимальными настройками по умолчанию, что упрощает процесс разработки модели. | false | true | true |
1,050 | 2026-02-23T10:51:23.834000Z | 2026-02-23T16:49:18.006000Z | Lec. | Корпус текстов ВИНИТИ не сбалансирован по отношению к кодам ГРНТИ, в результате чего существует большое количество уникальных рубрик на каждом уровне (таб. 1) | Корпус текстов ВИНИТИ не сбалансирован по отношению к кодам ГРНТИ, в результате чего существует большое количество уникальных рубрик на каждом уровне (таб. 1). | false | true | true |
1,049 | 2026-02-23T10:51:22.078000Z | 2026-02-23T13:50:07.665000Z | Lec. | Среди самых востребованных моделей данной архитектуры следует выделить BERT (Bidirectional Encoder Representations from Transformers) [19] | Среди самых востребованных моделей данной архитектуры следует выделить BERT (Bidirectional Encoder Representations from Transformers) [19]. | false | true | true |
1,048 | 2026-02-23T10:51:20.451000Z | 2026-02-23T10:51:20.451000Z | Lec. | Layer normalization: слой нейросети, который нормализует выход из предшествующего слоя для каждой последовательности | false | true | false | |
1,047 | 2026-02-23T10:51:18.657000Z | 2026-02-23T10:51:18.657000Z | Lec. | Механизм внимания — определяет самые релевантные части входной последовательности для решения задачи; | false | true | false | |
1,046 | 2026-02-23T10:51:17.100000Z | 2026-02-23T10:51:17.100000Z | Lec. | В. “Человек внутренний” в языковой картине мира ФИ Тютчева (анализ словоупотребления душа и сердце) //Russian Literature. – 2005. – Т. 57. – №. 1-2. – С. 1-8. https://doi.org/10.1016/S0304-3479(04)00093-6. | false | false | false | |
1,045 | 2026-02-23T10:51:14.893000Z | 2026-02-23T10:51:14.893000Z | Lec. | Development of a novel U-shaped decomposer for enhanced hydrogen production via HI decomposition in the sulfur-iodine cycle https://doi.org/10.1016/j.ijhydene.2024.10.212. 2 | false | true | false | |
1,044 | 2026-02-23T10:51:12.936000Z | 2026-02-23T10:51:12.936000Z | Lec. | The Faiss library. 2025. | false | false | false | |
1,043 | 2026-02-23T10:51:11.014000Z | 2026-02-23T13:28:07.979000Z | Lec. | Douze M. et al | Douze M. et al. | false | true | true |
1,042 | 2026-02-23T10:51:09.189000Z | 2026-02-23T10:51:09.189000Z | Lec. | P. 5200—5209 | false | false | false | |
1,041 | 2026-02-23T10:51:07.740000Z | 2026-02-23T10:51:07.740000Z | Lec. | SGD: General Analysis and Improved Rates // Proc. 36th Int | false | false | false | |
1,040 | 2026-02-23T10:51:06.005000Z | 2026-02-23T10:51:06.005000Z | Lec. | Gower R.M. et al | false | true | false | |
1,039 | 2026-02-23T10:51:04.246000Z | 2026-02-23T15:54:28.359000Z | Lec. | Adam: A method for stochastic optimization // 3rd International Conference on Learning Representations (ICLR) - Conference Track Proceedings. 2015 | Adam: A method for stochastic optimization. 3rd International Conference on Learning Representations (ICLR) - Conference Track Proceedings, 2015. | false | true | true |
1,038 | 2026-02-23T10:51:02.338000Z | 2026-02-23T10:51:02.338000Z | Lec. | Kingma D.P., Lei Ba J | true | false | false | |
1,037 | 2026-02-23T10:51:00.583000Z | 2026-02-23T10:51:00.583000Z | Lec. | P. 23803—23828 | false | false | false | |
1,036 | 2026-02-23T10:50:59.190000Z | 2026-02-23T10:50:59.190000Z | Lec. | Krause A. et al | false | false | false | |
1,035 | 2026-02-23T10:50:57.346000Z | 2026-02-23T13:24:39.913000Z | Lec. | Cross-Entropy Loss Functions: Theoretical Analysis and Applications // Proceedings of the 40th International Conference on Machine Learning / ed | Cross-Entropy Loss Functions: Theoretical Analysis and Applications. Proceedings of the 40th International Conference on Machine Learning / ed | false | true | true |
1,034 | 2026-02-23T10:50:55.500000Z | 2026-02-23T10:50:55.500000Z | Lec. | Mao A., Mohri M., Zhong Y | false | false | false | |
1,033 | 2026-02-23T10:50:53.800000Z | 2026-02-23T10:50:53.800000Z | Lec. | P. 111760—111801 | false | false | false | |
1,032 | 2026-02-23T10:50:52.298000Z | 2026-02-23T10:50:52.298000Z | Lec. | Curran Associates, Inc., 2024 | false | false | false | |
1,031 | 2026-02-23T10:50:50.522000Z | 2026-02-23T10:50:50.522000Z | Lec. | Globerson A. et al | false | false | false | |
1,030 | 2026-02-23T10:50:48.688000Z | 2026-02-23T10:50:48.688000Z | Lec. | Underlying Mechanisms and Improvements // Advances in Neural Information Processing Systems / ed | false | false | false | |
1,029 | 2026-02-23T10:50:46.948000Z | 2026-02-23T10:50:46.948000Z | Lec. | Why Warmup the Learning Rate | false | true | false | |
1,028 | 2026-02-23T10:50:45.478000Z | 2026-02-23T10:50:45.478000Z | Lec. | Kalra D.S., Barkeshli M | false | false | false | |
1,027 | 2026-02-23T10:50:43.790000Z | 2026-02-23T10:50:43.790000Z | Lec. | Lora: Low-rank adaptation of large language models //ICLR, 2022 | false | false | false | |
1,026 | 2026-02-23T10:50:42.001000Z | 2026-02-23T10:50:42.001000Z | Lec. | Elsevier, 2020 | false | false | false | |
1,025 | 2026-02-23T10:50:40.190000Z | 2026-02-23T10:50:40.190000Z | Lec. | Data imbalance in classification: Experimental evaluation // Inf | false | false | false | |
1,024 | 2026-02-23T10:50:38.491000Z | 2026-02-23T10:50:38.491000Z | Lec. | Thabtah F. et al | false | false | false | |
1,023 | 2026-02-23T10:50:36.973000Z | 2026-02-23T10:50:36.973000Z | Lec. | Vol. 50, No. 3 | false | false | false | |
1,022 | 2026-02-23T10:50:35.411000Z | 2026-02-23T10:50:35.411000Z | Lec. | Pleiades Publishing, 2023 | false | false | false | |
1,021 | 2026-02-23T10:50:33.609000Z | 2026-02-23T10:50:33.609000Z | Lec. | Classification of Short Scientific Texts // Sci | false | false | false | |
1,020 | 2026-02-23T10:50:31.842000Z | 2026-02-23T10:50:31.842000Z | Lec. | V., Romanov A.Y | true | false | false | |
1,019 | 2026-02-23T10:50:30.313000Z | 2026-02-23T10:50:30.313000Z | Lec. | Kusakin I.K., Fedorets O | true | false | false | |
1,018 | 2026-02-23T10:50:28.642000Z | 2026-02-23T10:50:28.642000Z | Lec. | P. 4171—4186 | false | false | false | |
1,017 | 2026-02-23T10:50:27.070000Z | 2026-02-23T10:50:27.070000Z | Lec. | Stroudsburg, PA, USA: Association for Computational Linguistics, 2019 | false | false | false | |
1,016 | 2026-02-23T10:50:25.364000Z | 2026-02-23T10:50:25.364000Z | Lec. | Chapter Assoc | false | false | false | |
1,015 | 2026-02-23T10:50:23.562000Z | 2026-02-23T10:50:23.562000Z | Lec. | BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding // Proc. 2019 Conf | false | false | false | |
1,014 | 2026-02-23T10:50:21.549000Z | 2026-02-23T10:50:21.549000Z | Lec. | Devlin J. et al | false | false | false | |
1,013 | 2026-02-23T10:50:19.758000Z | 2026-02-23T10:50:19.758000Z | Lec. | Vol. 22, No. 1 | false | false | false | |
1,012 | 2026-02-23T10:50:17.885000Z | 2026-02-23T10:50:17.885000Z | Lec. | BMC Med Res Methodol, 2022 | false | false | false | |
1,011 | 2026-02-23T10:50:15.944000Z | 2026-02-23T10:50:15.944000Z | Lec. | A comparative study on deep learning models for text classification of unstructured medical notes with various levels of class imbalance // BMC Med | false | false | false | |
1,010 | 2026-02-23T10:50:14.079000Z | 2026-02-23T10:50:14.079000Z | Lec. | Lu H., Ehwerhemuepha L., Rakovski C | false | false | false | |
1,009 | 2026-02-23T10:50:12.104000Z | 2026-02-23T10:50:12.104000Z | Lec. | P. 5999—6009 | false | false | false | |
1,008 | 2026-02-23T10:50:10.617000Z | 2026-02-23T10:50:10.617000Z | Lec. | Vol. 2017-December | false | false | false | |
1,007 | 2026-02-23T10:50:09.104000Z | 2026-02-23T10:50:09.104000Z | Lec. | Neural information processing systems foundation, 2017 | false | false | false | |
1,006 | 2026-02-23T10:50:07.313000Z | 2026-02-23T10:50:07.313000Z | Lec. | Attention Is All You Need // Adv | false | false | false | |
1,005 | 2026-02-23T10:50:05.572000Z | 2026-02-23T10:50:05.572000Z | Lec. | Vaswani A. et al | false | false | false | |
1,004 | 2026-02-23T10:50:03.427000Z | 2026-02-23T10:50:03.427000Z | Lec. | Vol. 5, No. 1 | false | false | false | |
1,003 | 2026-02-23T10:50:01.821000Z | 2026-02-23T10:50:01.821000Z | Lec. | E-flow Sciendo, 2020 | false | false | false | |
1,002 | 2026-02-23T10:50:00.047000Z | 2026-02-23T10:50:00.047000Z | Lec. | Automatic Classification of Swedish Metadata Using Dewey Decimal Classification: A Comparison of Approaches // J | false | false | false | |
1,001 | 2026-02-23T10:49:58.219000Z | 2026-02-23T10:49:58.219000Z | Lec. | Golub K., Hagelbäck J., Ardö A | false | false | false | |
1,000 | 2026-02-23T10:49:56.384000Z | 2026-02-23T10:49:56.384000Z | Lec. | ICML 2004. 2004 | false | false | false | |
999 | 2026-02-23T10:49:54.838000Z | 2026-02-23T10:49:54.838000Z | Lec. | Twenty-First Int | false | true | false | |
998 | 2026-02-23T10:49:53.030000Z | 2026-02-23T10:49:53.030000Z | Lec. | Links between Perceptrons, MLPs and SVMs // Proc | false | false | false | |
997 | 2026-02-23T10:49:51.344000Z | 2026-02-23T10:49:51.344000Z | Lec. | Collobert R., Bengio S | false | false | false | |
996 | 2026-02-23T10:49:49.653000Z | 2026-02-23T10:49:49.653000Z | Lec. | Vol. 2, No. 3 | false | false | false | |
995 | 2026-02-23T10:49:48.062000Z | 2026-02-23T10:49:48.062000Z | Lec. | Technol. 2016 | false | false | false | |
994 | 2026-02-23T10:49:46.441000Z | 2026-02-23T10:49:46.441000Z | Lec. | A Survey on Classification Techniques in Internet Environment // Int | false | false | false | |
993 | 2026-02-23T10:49:44.647000Z | 2026-02-23T10:49:44.647000Z | Lec. | Rawat A., Choubey A | false | false | false | |
992 | 2026-02-23T10:49:42.848000Z | 2026-02-23T10:49:42.848000Z | Lec. | Vol. 22, No. 3 | false | false | false | |
991 | 2026-02-23T10:49:41.460000Z | 2026-02-23T10:49:41.460000Z | Lec. | Taylor & Francis, 2016 | false | false | false | |
990 | 2026-02-23T10:49:39.890000Z | 2026-02-23T10:49:39.890000Z | Lec. | Hypermedia Multimed | false | false | false | |
989 | 2026-02-23T10:49:38.088000Z | 2026-02-23T10:49:38.088000Z | Lec. | An efficient scheme for automatic web pages categorization using the support vector machine // New Rev | false | false | false | |
988 | 2026-02-23T10:49:36.312000Z | 2026-02-23T10:49:36.312000Z | Lec. | Bhalla V.K., Kumar N | true | false | false | |
987 | 2026-02-23T10:49:34.825000Z | 2026-02-23T10:49:34.825000Z | Lec. | Web-based Appl | false | false | false | |
986 | 2026-02-23T10:49:33.057000Z | 2026-02-23T10:49:33.057000Z | Lec. | Automatic news articles classification in Indonesian language by using Naive Bayes classifier method // iiWAS2009 - 11th Int | false | false | false | |
985 | 2026-02-23T10:49:31.179000Z | 2026-02-23T10:49:31.179000Z | Lec. | Asy’arie A.D., Pribadi A.W | true | true | false | |
984 | 2026-02-23T10:49:29.530000Z | 2026-02-23T10:49:29.530000Z | Lec. | Vol. 77, No. 3 | false | false | false | |
983 | 2026-02-23T10:49:27.949000Z | 2026-02-23T10:49:27.949000Z | Lec. | Emerald Group Holdings Ltd., 2021 | false | false | false | |
982 | 2026-02-23T10:49:26.314000Z | 2026-02-23T17:15:55.091000Z | Lec. | Automatic classification of older electronic texts into the Universal Decimal Classification—UDC // J | Automatic classification of older electronic texts into the Universal Decimal Classification—UDC//J | false | true | true |
981 | 2026-02-23T10:49:24.726000Z | 2026-02-23T10:49:24.726000Z | Lec. | Kragelj M., Kljajić Borštnar M | true | false | false | |
980 | 2026-02-23T10:49:23.189000Z | 2026-02-23T10:49:23.189000Z | Lec. | Organ. 2006 | false | false | false | |
979 | 2026-02-23T10:49:21.689000Z | 2026-02-23T10:49:21.689000Z | Lec. | UDC in Subject Gateways: Experiment or Opportunity? // Knowl | false | true | false | |
978 | 2026-02-23T10:49:19.796000Z | 2026-02-23T10:49:19.796000Z | Lec. | P. 85595—85605 | false | false | false | |
977 | 2026-02-23T10:49:18.129000Z | 2026-02-23T10:49:18.129000Z | Lec. | Institute of Electrical and Electronics Engineers Inc., 2022 | false | false | false | |
976 | 2026-02-23T10:49:16.387000Z | 2026-02-23T10:49:16.387000Z | Lec. | A Hybrid Approach to Recommending Universal Decimal Classification Codes for Cataloguing in Slovenian Digital Libraries // IEEE Access | false | false | false | |
975 | 2026-02-23T10:49:14.642000Z | 2026-02-23T10:49:14.642000Z | Lec. | Borovic M., Ojstersek M., Strnad D | true | false | false | |
974 | 2026-02-23T10:49:12.924000Z | 2026-02-23T10:49:12.924000Z | Lec. | Institute of Electrical and Electronics Engineers Inc., 2016 | false | false | false | |
973 | 2026-02-23T10:49:11.218000Z | 2026-02-23T10:49:11.218000Z | Lec. | Control Commun | false | false | false | |
972 | 2026-02-23T10:49:09.618000Z | 2026-02-23T16:57:12.895000Z | Lec. | Research of neural networks application efficiency in automatic scientific articles classification according to UDC // 2016 Int | Research of neural networks application efficiency in automatic scientific articles classification according to UDC//2016 Int | false | true | true |
971 | 2026-02-23T10:49:07.622000Z | 2026-02-23T10:49:07.622000Z | Lec. | Romanov A.Y. et al | false | false | false | |
970 | 2026-02-23T10:49:05.821000Z | 2026-02-23T10:49:05.821000Z | Lec. | Vol. 73, No. 7 | false | false | false | |
969 | 2026-02-23T10:49:04.032000Z | 2026-02-23T10:49:04.032000Z | Lec. | Elsevier, 2008 | false | false | false | |
968 | 2026-02-23T10:49:02.310000Z | 2026-02-23T16:07:14.361000Z | Lec. | Linear and logistic regression analysis // Kidney Int | Linear and logistic regression analysis // Kidney Int | false | true | true |
967 | 2026-02-23T10:49:00.324000Z | 2026-02-23T10:49:00.324000Z | Lec. | Tripepi G. et al | false | false | false | |
966 | 2026-02-23T10:48:58.855000Z | 2026-02-23T10:48:58.855000Z | Lec. | Vol. 49, No. 4 | false | false | false | |
965 | 2026-02-23T10:48:57.081000Z | 2026-02-23T10:48:57.081000Z | Lec. | Pleiades Publishing, 2022 | false | false | false | |
964 | 2026-02-23T10:48:55.300000Z | 2026-02-23T10:48:55.300000Z | Lec. | Transformation of Thematic Profiles of Serial Publications in an Information Center Documents Input System: Case Study of the VINITI RAS Database // Sci | false | true | false | |
963 | 2026-02-23T10:48:53.587000Z | 2026-02-23T10:48:53.587000Z | Lec. | V., Domnina T.N | true | false | false | |
962 | 2026-02-23T10:48:51.689000Z | 2026-02-23T10:48:51.689000Z | Lec. | Soloshenko N.S., Fedorets O | true | false | false | |
961 | 2026-02-23T10:48:50.169000Z | 2026-02-23T10:48:50.169000Z | Lec. | Technol. 2019 | false | false | false | |
960 | 2026-02-23T10:48:48.545000Z | 2026-02-23T10:48:48.545000Z | Lec. | Text Classification Performance Analysis on Machine Learning // MATTER Int | false | false | false | |
959 | 2026-02-23T10:48:46.802000Z | 2026-02-23T10:48:46.802000Z | Lec. | Kumar R., Reddy M., Pappula P | true | false | false | |
958 | 2026-02-23T10:48:45.160000Z | 2026-02-23T10:48:45.160000Z | Lec. | Vol. 8, No. 1 | false | false | false |
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