id int64 18 21.1k | created_at timestamp[ns, tz=UTC]date 2026-02-23 07:30:20 2026-02-24 16:54:39 | updated_at timestamp[ns, tz=UTC]date 2026-02-23 08:08:14 2026-02-24 16:54:39 | 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 |
|---|---|---|---|---|---|---|---|---|
13,407 | 2026-02-24T11:24:30.535000Z | 2026-02-24T11:24:30.535000Z | Lec. | Для исследования влияния перепадов высот городских объектов на распространение сигналов подключенного транспорта в трёхмерных моделях выбрана подходящая модель распространения сигнала для дальнейшего использования | false | true | false | |
13,406 | 2026-02-24T11:24:28.908000Z | 2026-02-24T11:24:28.908000Z | Lec. | Однако большинство существующих решений использует двухмерные модели распространения сигналов, которые не учитывают важные вертикальные особенности городской среды — такие как мосты, тоннели и перепады высот | false | true | false | |
13,405 | 2026-02-24T11:24:27.347000Z | 2026-02-24T11:24:27.347000Z | Lec. | The number of tables in the work is , illustrations –, sources used – | false | false | false | |
13,404 | 2026-02-24T11:24:25.581000Z | 2026-02-24T11:24:25.581000Z | Lec. | The volume of the report on the final qualifying work is pages | false | true | false | |
13,403 | 2026-02-24T11:24:23.869000Z | 2026-02-24T11:24:23.869000Z | Lec. | Рис. 20 Экран для работы с NFC метками | false | true | false | |
13,402 | 2026-02-24T11:24:22.242000Z | 2026-02-24T11:24:22.242000Z | Lec. | Также есть возможность записать информацию на метку, если она не защищена от записи и поддерживает NDEF (рис. 20) | false | true | false | |
13,401 | 2026-02-24T11:24:20.621000Z | 2026-02-24T11:24:20.621000Z | Lec. | На странице есть возможность считать информацию с метки при ее поднесении к устройству: идентификатор метки, список поддерживаемых технологий, содержимое NDEF записей, если они есть | false | true | false | |
13,400 | 2026-02-24T11:24:18.883000Z | 2026-02-24T11:24:18.883000Z | Lec. | Страница открывается нажатием на кнопку «Nfc» на панели навигации (рис. 20) | false | true | false | |
13,399 | 2026-02-24T11:24:17.345000Z | 2026-02-24T11:24:17.345000Z | Lec. | Если со стороны устройства есть поддержка данного модуля, пользователю становится доступна страница для работы с NFC | false | true | false | |
13,398 | 2026-02-24T11:24:15.730000Z | 2026-02-24T11:24:15.730000Z | Lec. | В приложение встроен модуль для работы с NFC метками | false | true | false | |
13,397 | 2026-02-24T11:24:14.264000Z | 2026-02-24T11:24:14.264000Z | Lec. | Работа с NFC | false | true | false | |
13,396 | 2026-02-24T11:24:12.609000Z | 2026-02-24T11:24:12.609000Z | Lec. | При открытии приложения появляется приветственное окно с описанием функций приложения и кнопкой для начала работы (рис. 2) | false | true | false | |
13,395 | 2026-02-24T11:24:10.943000Z | 2026-02-24T11:24:10.943000Z | Lec. | Скачать приложение «Инвентаризация оборудования» можно по ссылке: https://vvzunin.me:10003/d/s/13L9g69u8ETI3v8QyLWW68DDnFVTiXGp/6khRss33SOS5LKnFA15xS7TGdQ6CofEE-w7rA73B7Rgw | false | true | false | |
13,394 | 2026-02-24T11:24:08.918000Z | 2026-02-24T11:24:08.918000Z | Lec. | В документе представлены сведения, необходимые пользователю для корректного использования приложения по учету оборудования в лабораториях МИЭМ НИУ ВШЭ | false | true | false | |
13,393 | 2026-02-24T11:24:06.283000Z | 2026-02-24T11:24:06.283000Z | Lec. | Руководство пользователя android приложения | false | true | false | |
13,392 | 2026-02-24T11:24:04.724000Z | 2026-02-24T11:24:04.724000Z | Lec. | Руководство пользователя android приложения 3 | false | true | false | |
13,391 | 2026-02-24T11:24:02.969000Z | 2026-02-24T11:24:02.969000Z | Lec. | Документация пользователя. №1789 «Система учета оборудования» | false | true | false | |
13,390 | 2026-02-24T11:23:57.063000Z | 2026-02-24T11:23:57.063000Z | Lec. | Nginx файл. server {. listen 80;. listen [::]:80;. server_name miemlabminio.ru;. ignore_invalid_headers off;. client_max_body_size 1000M;. # Disable buffering. proxy_buffering off;. proxy_request_buffering off;. location /client_api {. proxy_set_header Host $http_host;. proxy_set_header X-Real-IP $remote_addr;. proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;. proxy_set_header X-Forwarded-Proto $scheme;. rewrite ^/client_api/(.*) /$1 break;. proxy_connect_timeout 300;. # Default is HTTP/1, keepalive is only enabled in HTTP/1.1. proxy_http_version 1.1;. proxy_set_header Connection "";. chunked_transfer_encoding off;. proxy_pass http://127.0.0.1:9000/;. }. location / {. proxy_pass http://127.0.0.1:9001;. proxy_set_header Host $http_host;. proxy_set_header X-Real-IP $remote_addr;. proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;. proxy_set_header X-Forwarded-Port $server_port;. proxy_set_header X-Forwarded-Proto $scheme;. proxy_set_header X-NginX-Proxy true;. real_ip_header X-Real-IP;. proxy_connect_timeout 300;. proxy_http_version 1.1;. proxy_set_header Upgrade $http_upgrade;. proxy_set_header Connection "upgrade";. chunked_transfer_encoding off;. }. } | false | false | false | |
13,389 | 2026-02-24T11:23:55.374000Z | 2026-02-24T11:23:55.374000Z | Lec. | Файл playbook_linux.yml. - name: Install MinIO. hosts: hosts_linux. become: true. tasks:. - name: Install MinIO deb. ansible.builtin.get_url:. url: https://dl.min.io/server/minio/release/linux-amd64/archive/minio_20250228095516.0.0_amd64.deb. dest: ./minio.deb. mode: '774'. - name: Install deb. ansible.builtin.apt:. deb: ./minio.deb. - name: Create ENV. hosts: hosts_linux. become: true. tasks:. - name: Create ENV. ansible.builtin.copy:. src: minio.cfg. dest: /etc/default/minio. mode: '774'. - name: Prepare system. hosts: hosts_linux. become: true. tasks:. - name: Create group. ansible.builtin.group:. name: minio-user. state: present. system: true. - name: Create User. ansible.builtin.user:. name: minio-user. group: minio-user. system: true. create_home: false. - name: Create Folder. ansible.builtin.file:. path: /mnt/data. state: directory. mode: '774'. - name: Change file permission. ansible.builtin.file:. path: /mnt/data. owner: minio-user. group: minio-user. - name: Launch MinIO. hosts: hosts_linux. become: true. tasks:. - name: Run MinIO. ansible.builtin.systemd:. name: minio.service. state: started | false | false | false | |
13,388 | 2026-02-24T11:23:53.272000Z | 2026-02-24T11:23:53.272000Z | Lec. | Функция получения координат | false | true | false | |
13,387 | 2026-02-24T11:23:51.343000Z | 2026-02-24T11:23:51.343000Z | Lec. | Реализация функции сохранения изображений | false | true | false | |
13,386 | 2026-02-24T11:23:49.904000Z | 2026-02-24T11:23:49.904000Z | Lec. | URL: https://git.miem.hse.ru/vkr2025 (дата обращения: 17.04.2025) | false | false | false | |
13,385 | 2026-02-24T11:23:47.946000Z | 2026-02-24T11:23:47.946000Z | Lec. | VKR2025 · GitLab [Электронный ресурс] | false | false | false | |
13,384 | 2026-02-24T11:23:46.142000Z | 2026-02-24T11:23:46.142000Z | Lec. | С. 5583–5594. 100 | false | false | false | |
13,383 | 2026-02-24T11:23:44.412000Z | 2026-02-24T11:23:44.412000Z | Lec. | ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision // Proc Mach Learn Res | false | false | false | |
13,382 | 2026-02-24T11:23:42.549000Z | 2026-02-24T11:23:42.549000Z | Lec. | PaliGemma: A versatile 3B VLM for transfer. 2024. 99 | false | false | false | |
13,381 | 2026-02-24T11:23:40.698000Z | 2026-02-24T11:23:40.698000Z | Lec. | Beyer L. и др | false | false | false | |
13,380 | 2026-02-24T11:23:39.096000Z | 2026-02-24T11:23:39.096000Z | Lec. | URL: https://developers.google.com/machine-learning/crash-course/classification/roc-and-auc?hl=ru (дата обращения: 20.04.2025). 98 | false | false | false | |
13,379 | 2026-02-24T11:23:37.245000Z | 2026-02-24T11:23:37.245000Z | Lec. | Классификация: ROC и AUC | Machine Learning | Google for Developers [Электронный ресурс] | false | true | false | |
13,378 | 2026-02-24T11:23:35.439000Z | 2026-02-24T11:23:35.439000Z | Lec. | PyTorch: An Imperative Style, High-Performance Deep Learning Library // Adv Neural Inf Process Syst | false | false | false | |
13,377 | 2026-02-24T11:23:33.568000Z | 2026-02-24T11:23:33.568000Z | Lec. | Paszke A. и др | false | false | false | |
13,376 | 2026-02-24T11:23:31.799000Z | 2026-02-24T11:23:31.799000Z | Lec. | URL: https://colab.research.google.com/drive/1zqeYwDuEh-Bhp0gJSky4TGPKRPBJ_o4K (дата обращения: 20.04.2025). 96 | false | false | false | |
13,375 | 2026-02-24T11:23:29.779000Z | 2026-02-24T11:23:29.779000Z | Lec. | Classificators_experiment - Colab [Электронный ресурс] | false | false | false | |
13,374 | 2026-02-24T11:23:28.036000Z | 2026-02-24T11:23:28.036000Z | Lec. | С. 2261–2269. 95 | false | true | false | |
13,373 | 2026-02-24T11:23:26.292000Z | 2026-02-24T11:23:26.292000Z | Lec. | Densely Connected Convolutional Networks // Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017 | false | false | false | |
13,372 | 2026-02-24T11:23:24.504000Z | 2026-02-24T11:23:24.504000Z | Lec. | Huang G. и др | false | false | false | |
13,371 | 2026-02-24T11:23:22.867000Z | 2026-02-24T11:23:22.867000Z | Lec. | С. 770–778. 94 | false | false | false | |
13,370 | 2026-02-24T11:23:21.280000Z | 2026-02-24T11:23:21.280000Z | Lec. | Deep Residual Learning for Image Recognition // Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition | false | false | false | |
13,369 | 2026-02-24T11:23:19.397000Z | 2026-02-24T11:23:19.397000Z | Lec. | С. 2818–2826. 93 | false | false | false | |
13,368 | 2026-02-24T11:23:17.710000Z | 2026-02-24T11:23:17.710000Z | Lec. | Т. 2016-December | false | true | false | |
13,367 | 2026-02-24T11:23:16.027000Z | 2026-02-24T11:23:16.027000Z | Lec. | IEEE Computer Society, 2015 | false | false | false | |
13,366 | 2026-02-24T11:23:14.335000Z | 2026-02-24T11:23:14.335000Z | Lec. | Rethinking the Inception Architecture for Computer Vision // Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition | false | false | false | |
13,365 | 2026-02-24T11:23:12.450000Z | 2026-02-24T11:23:12.450000Z | Lec. | Szegedy C. и др | false | false | false | |
13,364 | 2026-02-24T11:23:10.624000Z | 2026-02-24T11:23:10.624000Z | Lec. | С. 10691–10700. 92 | false | false | false | |
13,363 | 2026-02-24T11:23:09.148000Z | 2026-02-24T11:23:09.148000Z | Lec. | Т. 2019-June | false | false | false | |
13,362 | 2026-02-24T11:23:07.665000Z | 2026-02-24T11:23:07.665000Z | Lec. | International Machine Learning Society (IMLS), 2019 | false | false | false | |
13,361 | 2026-02-24T11:23:05.963000Z | 2026-02-24T11:23:05.963000Z | Lec. | EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks // 36th International Conference on Machine Learning, ICML 2019 | false | false | false | |
13,360 | 2026-02-24T11:23:04.043000Z | 2026-02-24T11:23:04.043000Z | Lec. | Tan M., Le Q | true | false | false | |
13,359 | 2026-02-24T11:23:02.154000Z | 2026-02-24T11:23:02.154000Z | Lec. | С. 1314–1324. 91 | false | false | false | |
13,358 | 2026-02-24T11:23:00.548000Z | 2026-02-24T11:23:00.548000Z | Lec. | Т. 2019-October | false | true | false | |
13,357 | 2026-02-24T11:22:58.665000Z | 2026-02-24T11:22:58.665000Z | Lec. | Searching for MobileNetV3 // Proceedings of the IEEE International Conference on Computer Vision | false | false | false | |
13,356 | 2026-02-24T11:22:56.929000Z | 2026-02-24T11:22:56.929000Z | Lec. | Howard A. и др | false | false | false | |
13,355 | 2026-02-24T11:22:55.203000Z | 2026-02-24T11:22:55.203000Z | Lec. | URL: https://paperswithcode.com/method/vgg-19 (дата обращения: 20.04.2025). 90 | false | false | false | |
13,354 | 2026-02-24T11:22:53.196000Z | 2026-02-24T11:22:53.196000Z | Lec. | VGG-19 Explained | Papers With Code [Электронный ресурс] | false | false | false | |
13,353 | 2026-02-24T11:22:51.453000Z | 2026-02-24T11:22:51.453000Z | Lec. | International Conference on Learning Representations, ICLR, 2014. 89 | false | true | false | |
13,352 | 2026-02-24T11:22:49.706000Z | 2026-02-24T11:22:49.706000Z | Lec. | Very Deep Convolutional Networks for Large-Scale Image Recognition // 3rd International Conference on Learning Representations, ICLR 2015 - Conference Track Proceedings | false | false | false | |
13,351 | 2026-02-24T11:22:47.700000Z | 2026-02-24T11:22:47.700000Z | Lec. | Simonyan K., Zisserman A | false | false | false | |
13,350 | 2026-02-24T11:22:45.799000Z | 2026-02-24T11:22:45.799000Z | Lec. | URL: https://colab.research.google.com/drive/1wtFwkH190yBjrN9NncEpJhUhEGHr8VNf (дата обращения: 20.04.2025). 88 | false | false | false | |
13,349 | 2026-02-24T11:22:43.767000Z | 2026-02-24T11:22:43.768000Z | Lec. | RF_DETR_training - Colab [Электронный ресурс] | false | false | false | |
13,348 | 2026-02-24T11:22:42.027000Z | 2026-02-24T11:22:42.027000Z | Lec. | URL: https://colab.research.google.com/drive/11PDo0t7h48u2Nh8wqy9OSQtHXGy_3Kur (дата обращения: 20.04.2025). 87 | false | false | false | |
13,347 | 2026-02-24T11:22:39.921000Z | 2026-02-24T11:22:39.921000Z | Lec. | URL: https://www.ultralytics.com/ru (дата обращения: 20.04.2025). 86. detection_model_graphs.ipynb - Colab [Электронный ресурс] | false | false | false | |
13,346 | 2026-02-24T11:22:38.177000Z | 2026-02-24T11:22:38.177000Z | Lec. | Ultralytics | Революция в мире искусственного интеллекта для зрения [Электронный ресурс] | false | false | false | |
13,345 | 2026-02-24T11:22:36.457000Z | 2026-02-24T11:22:36.457000Z | Lec. | URL: https://roboflow.com/model/rf-detr (дата обращения: 20.04.2025). 85 | false | false | false | |
13,344 | 2026-02-24T11:22:34.279000Z | 2026-02-24T11:22:34.279000Z | Lec. | RF-DETR Object Detection Model: What is, How to Use [Электронный ресурс] | false | true | false | |
13,343 | 2026-02-24T11:22:32.379000Z | 2026-02-24T11:22:32.379000Z | Lec. | YOLOv12: Attention-Centric Real-Time Object Detectors. 2025. 84 | false | false | false | |
13,342 | 2026-02-24T11:22:30.566000Z | 2026-02-24T11:22:30.566000Z | Lec. | Tian Y., Ye Q., Doermann D | false | false | false | |
13,341 | 2026-02-24T11:22:28.859000Z | 2026-02-24T11:22:28.859000Z | Lec. | RF-DETR Object Detection vs YOLOv12 : A Study of Transformer-based and CNN-based Architectures for Single-Class and Multi-Class Greenfruit Detection in Complex Orchard Environments Under Label Ambiguity. 2025. 83 | false | false | false | |
13,340 | 2026-02-24T11:22:26.955000Z | 2026-02-24T11:22:26.956000Z | Lec. | Sapkota R. и др | false | false | false | |
13,339 | 2026-02-24T11:22:25.370000Z | 2026-02-24T11:22:25.370000Z | Lec. | URL: https://paperswithcode.com/paper/evaluating-the-evolution-of-yolo-you-only (дата обращения: 20.04.2025). 82 | false | false | false | |
13,338 | 2026-02-24T11:22:23.509000Z | 2026-02-24T11:22:23.509000Z | Lec. | Evaluating the Evolution of YOLO (You Only Look Once) Models: A Comprehensive Benchmark Study of YOLO11 and Its Predecessors | Papers With Code [Электронный ресурс] | false | false | false | |
13,337 | 2026-02-24T11:22:20.893000Z | 2026-02-24T11:22:20.893000Z | Lec. | URL: https://git.miem.hse.ru/vkr2025/autodistill-rfdetr (дата обращения: 17.04.2025). 81 | false | false | false | |
13,336 | 2026-02-24T11:22:18.983000Z | 2026-02-24T11:22:18.983000Z | Lec. | VKR2025 / Autodistill Rfdetr · GitLab [Электронный ресурс] | false | false | false | |
13,335 | 2026-02-24T11:22:17.252000Z | 2026-02-24T11:22:17.252000Z | Lec. | URL: https://colab.research.google.com/drive/1vPLJlA-gqtevIG3xu1O-ECZ4Aaycy2Ko#scrollTo=5svLXcSCMJHn (дата обращения: 17.04.2025). 80 | false | false | false | |
13,334 | 2026-02-24T11:22:15.286000Z | 2026-02-24T11:22:15.286000Z | Lec. | Предразметка.ipynb - Colab [Электронный ресурс] | false | false | false | |
13,333 | 2026-02-24T11:22:13.620000Z | 2026-02-24T11:22:13.620000Z | Lec. | URL: https://docs.python.org/3/library/shutil.html (дата обращения: 20.04.2025). 79 | false | true | false | |
13,332 | 2026-02-24T11:22:11.956000Z | 2026-02-24T11:22:11.956000Z | Lec. | URL: http://citebay.com/how-to-cite/matplotlib/ (дата обращения: 20.04.2025). 78. shutil — High-level file operations — Python 3.13.3 documentation [Электронный ресурс] | false | true | false | |
13,331 | 2026-02-24T11:22:09.850000Z | 2026-02-24T11:22:09.850000Z | Lec. | How to cite Matplotlib - Cite Bay [Электронный ресурс] | false | false | false | |
13,330 | 2026-02-24T11:22:07.972000Z | 2026-02-24T11:22:07.972000Z | Lec. | URL: https://colab.research.google.com/drive/1fN6sd8wSx351tuQ6X1eLBeg9ar63SxWB (дата обращения: 20.04.2025). 77 | false | false | false | |
13,329 | 2026-02-24T11:22:06.070000Z | 2026-02-24T11:22:06.070000Z | Lec. | Yolo_versions_train - Colab [Электронный ресурс] | false | false | false | |
13,328 | 2026-02-24T11:22:04.230000Z | 2026-02-24T11:22:04.230000Z | Lec. | URL: https://colab.research.google.com/ (дата обращения: 20.04.2025). 76 | false | false | false | |
13,327 | 2026-02-24T11:22:02.367000Z | 2026-02-24T11:22:02.367000Z | Lec. | Добро пожаловать в Colab! - Colab [Электронный ресурс] | false | false | false | |
13,326 | 2026-02-24T11:21:58.154000Z | 2026-02-24T11:21:58.154000Z | Lec. | С. 11–25. 75 | false | false | false | |
13,325 | 2026-02-24T11:21:56.680000Z | 2026-02-24T11:21:56.680000Z | Lec. | Academy and Industry Research Collaboration Center (AIRCC), 2013 | false | false | false | |
13,324 | 2026-02-24T11:21:54.841000Z | 2026-02-24T11:21:54.841000Z | Lec. | A Comparative Study of Histogram Equalization Based Image Enhancement Techniques for Brightness Preservation and Contrast Enhancement // Signal Image Process | false | true | false | |
13,323 | 2026-02-24T11:21:52.825000Z | 2026-02-24T11:21:52.825000Z | Lec. | Patel O., Maravi Y.P.S., Sharma S | true | false | false | |
13,322 | 2026-02-24T11:21:51.302000Z | 2026-02-24T11:21:51.302000Z | Lec. | Image Data Augmentation for Deep Learning: A Survey. 2022. 74 | false | false | false | |
13,321 | 2026-02-24T11:21:49.523000Z | 2026-02-24T11:21:49.523000Z | Lec. | Yang S. и др | false | false | false | |
13,320 | 2026-02-24T11:21:47.980000Z | 2026-02-24T11:21:47.980000Z | Lec. | URL: https://roboflow.com/ (дата обращения: 20.04.2025). 73 | false | false | false | |
13,319 | 2026-02-24T11:21:45.835000Z | 2026-02-24T11:21:45.835000Z | Lec. | URL: https://aws.amazon.com/ru/what-is/object-storage/ (дата обращения: 15.04.2025). 72 | false | false | false | |
13,318 | 2026-02-24T11:21:44.044000Z | 2026-02-24T11:21:44.044000Z | Lec. | Что такое объектное хранилище? – Объяснение работы объектного хранилища – AWS [Электронный ресурс] | false | true | false | |
13,317 | 2026-02-24T11:21:42.489000Z | 2026-02-24T11:21:42.489000Z | Lec. | Methods for augmenting and accelerating data visualization, using a vector tile map, with metadata from an external database. 2022. 71 | false | true | false | |
13,316 | 2026-02-24T11:21:40.658000Z | 2026-02-24T11:21:40.658000Z | Lec. | Markus K., Efternamn F | true | false | false | |
13,315 | 2026-02-24T11:21:39.104000Z | 2026-02-24T11:21:39.104000Z | Lec. | Packt Publishing, 2022. 70 | false | true | false | |
13,314 | 2026-02-24T11:21:37.299000Z | 2026-02-24T11:21:37.299000Z | Lec. | Real-World Next.js : build scalable, high-performance, and modern web applications using Next.js, the React framework for production | false | true | false | |
13,313 | 2026-02-24T11:21:35.490000Z | 2026-02-24T11:21:35.490000Z | Lec. | Riva Michele | true | false | false | |
13,312 | 2026-02-24T11:21:34.142000Z | 2026-02-24T11:21:34.142000Z | Lec. | Elsevier BV, 2024. 69 | false | false | false | |
13,311 | 2026-02-24T11:21:32.346000Z | 2026-02-24T11:21:32.346000Z | Lec. | A Comprehensive Review of Next.js Technology: Advancements, Features, and Applications // SSRN Electronic Journal | false | true | false | |
13,310 | 2026-02-24T11:21:30.380000Z | 2026-02-24T11:21:30.380000Z | Lec. | Srivastava S. и др | false | false | false | |
13,309 | 2026-02-24T11:21:28.709000Z | 2026-02-24T11:21:28.709000Z | Lec. | С. 5583–5594. 68 | false | false | false | |
13,308 | 2026-02-24T11:21:27.202000Z | 2026-02-24T11:21:27.202000Z | Lec. | ML Research Press, 2021 | false | false | false |
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