Changes
On March 22, 2024 at 5:52:18 PM +0800, CloudTseng:
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Updated description of Rice Seedling Dataset 水稻秧苗辨識資料集 from
Datasets for rice seedling detection model training, validating, testing. ## Related Publications 1. **[A UAV Open Dataset of Rice Paddies for Deep Learning Practice](https://doi.org/10.3390/rs13071358)** The data descriptor was published on Remote Sensing, MDPI. (open access) 2. **[Rice Seedling Detection in UAV Images Using Transfer Learning and Machine Learning](https://doi.org/10.3390/rs14122837)** An application of rice seedling detection using transfer learning was published on Remote Sensing, MDPI. (open access) ### MDPI and ACS Style 1. Yang, M. D.; Tseng, H. H.; Hsu, Y. C.; Yang, C. Y.; Lai, M. H.; Wu, D. H. A UAV Open Dataset of Rice Paddies for Deep Learning Practice. *Remote Sens.* **2021**, 13, 1358. doi:10.3390/rs13071358 2. Tseng, H. H.; Yang, M. D.; Saminathan, R.; Hsu, Y. C.; Yang, C. Y.; Wu, D. H. Rice Seedling Detection in UAV Images Using Transfer Learning and Machine Learning. *Remote Sens.* **2022**, 14, 2837. doi:10.3390/rs14122837 --- ## Contents 1. [Data Download Link](#1-data-download-link) 2. [Dataset of Rice Seedling Classification](#2-dataset-of-rice-seedling-classification) 3. [Dataset of Rice Seedling Detection](#3-dataset-of-rice-seedling-detection) ## 1. Basic Data Information ### 2018 Orthomosaic image ![Orthomosaic_Train-Val_Dataset](https://aidata.nchu.edu.tw/smarter/sftp/7e2a89ef-2875-481a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/Orthomosaic_Train-Val_Dataset.png) These three links are the orthomosaic image of paddy No.80, TARI, which were in TWD97 / TM2 zone 121 (EPSG:3826) projection. The images were acquired in three consecutive growing stages in 2018. ### Expansion Orthomosaic image (2019-2020) ![Orthomosaic_Extended](https://aidata.nchu.edu.tw/smarter/sftp/7e2a89ef-2875-481a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/Orthomosaic_Extended.png) These 10 links are the orthomosaic image of paddy No.78, TARI, which were in TWD97 / TM2 zone 121 (EPSG:3826) projection. The images were acquired in 2019 and 2020. --- ### Dataset of Rice Seedling Classification (Train-Val) **[RiceSeedlingClassification.tgz (uncompressed size 426MB)](https://aidata.nchu.edu.tw/smarter/dataset/smarter_07_5d4088_0_rice_20240318_objc_detect/resource/236c53c2-43e3-4f6d-9a17-33ecf8b6dc37)** This file includes two folders: riceseedling and arableland. Train-val and test datasets are all included. --- ### Dataset of Rice Seedling Detection (Train-Val) **[RiceSeedlingDetection.tgz (uncompressed size 19.1MB)](https://aidata.nchu.edu.tw/smarter/dataset/smarter_07_5d4088_0_rice_20240318_objc_detect/resource/e3f00e59-2bcc-4380-92eb-a6f147eeb753)** This is a PASCAL VOC format object-detection dataset, which includes two folders: JPEGImaegs and Annotations. --- ### Dataset of Detection Demonstration (Test) **[RiceSeedlingDemo.tgz (uncompressed size 48.5MB)](https://aidata.nchu.edu.tw/smarter/dataset/smarter_07_5d4088_0_rice_20240318_objc_detect/resource/3d5616d6-869d-437a-abdd-c070db7ed029)** This file contains 8 detection demo images and the corresponging PASCAL VOC xml format annotations. --- ### An overview of the region of different datasets ![An overview of image dataset](https://aidata.nchu.edu.tw/smarter/sftp/7e2a89ef-2875-481a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/Datasets_Area_Overview.png) An overview of the field no. 80 (cyan bounding area) in TARI, Taichung. Image acquired on August 7, 2018. The green bounding area represents the area for training-validation dataset, and the red bounding area represents the subsets for object detection demonstration dataset. ## 2. Dataset of Rice Seedling Classification This dataset contains two classes: * `rice seedling` * `arable land` ### An overview of image dataset ![An overview of image dataset](https://aidata.nchu.edu.tw/smarter/sftp/7e2a89ef-2875-481a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/dataset.png) ### The number of images used for training, validation, and testing in the rice seedling dataset ![Samples of classification dataset](https://aidata.nchu.edu.tw/smarter/sftp/7e2a89ef-2875-481a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/Samples_of_datasets.png) ## 3. Dataset of Rice Seedling Detection This dataset is used for object-detection model training and validation. * PASCAL VOC xml format annotation * 3 consecutive mission: Aug 7<sup>th</sup>, Aug 14<sup>th</sup> and Aug 23<sup>rd</sup> * 8 subsets * 25 samples/subset * 600 samples total ### Examples of three growth stages of the rice seedling detection dataset ![Examples of detection dataset](https://aidata.nchu.edu.tw/smarter/sftp/7e2a89ef-2875-481a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/Detection_Dataset.png) ## 4. Detection Demo Dataset This dataset is used for patch-based object-detection scenario. * 8 subsets * 8m x 8m region * 1527 x 1527 pixels * PASCAL VOC xml format annotation ### An overview of 8 detection demo images ![An overview of 8 detection demo images](https://aidata.nchu.edu.tw/smarter/sftp/7e2a89ef-2875-481a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/DemoClip.png)
toDatasets for rice seedling detection model training, validating, testing. ## Related Publications 1. **[A UAV Open Dataset of Rice Paddies for Deep Learning Practice](https://doi.org/10.3390/rs13071358)** The data descriptor was published on Remote Sensing, MDPI. (open access) 2. **[Rice Seedling Detection in UAV Images Using Transfer Learning and Machine Learning](https://doi.org/10.3390/rs14122837)** An application of rice seedling detection using transfer learning was published on Remote Sensing, MDPI. (open access) ### MDPI and ACS Style 1. Yang, M. D.; Tseng, H. H.; Hsu, Y. C.; Yang, C. Y.; Lai, M. H.; Wu, D. H. A UAV Open Dataset of Rice Paddies for Deep Learning Practice. *Remote Sens.* **2021**, 13, 1358. doi:10.3390/rs13071358 2. Tseng, H. H.; Yang, M. D.; Saminathan, R.; Hsu, Y. C.; Yang, C. Y.; Wu, D. H. Rice Seedling Detection in UAV Images Using Transfer Learning and Machine Learning. *Remote Sens.* **2022**, 14, 2837. doi:10.3390/rs14122837 --- ## Contents 1. [Data Download Link](#1-data-download-link) 2. [Dataset of Rice Seedling Classification](#2-dataset-of-rice-seedling-classification) 3. [Dataset of Rice Seedling Detection](#3-dataset-of-rice-seedling-detection) ## 1. Basic Data Information ### 2018 Orthomosaic image ![Orthomosaic_Train-Val_Dataset](https://aidata.nchu.edu.tw/smarter/sftp/7e2a89ef-2875-481a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/Orthomosaic_Train-Val_Dataset.png) These three links are the orthomosaic image of paddy No.80, TARI, which were in TWD97 / TM2 zone 121 (EPSG:3826) projection. The images were acquired in three consecutive growing stages in 2018. ### Expansion Orthomosaic image (2019-2020) ![Orthomosaic_Extended](https://aidata.nchu.edu.tw/smarter/sftp/7e2a89ef-2875-481a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/Orthomosaic_Extended.png) These 10 links are the orthomosaic image of paddy No.78, TARI, which were in TWD97 / TM2 zone 121 (EPSG:3826) projection. The images were acquired in 2019 and 2020. --- ### Dataset of Rice Seedling Classification (Train-Val) **[RiceSeedlingClassification.tgz (uncompressed size 426MB)](https://aidata.nchu.edu.tw/smarter/dataset/smarter_07_5d4088_0_rice_20240318_objc_detect/resource/236c53c2-43e3-4f6d-9a17-33ecf8b6dc37)** This file includes two folders: riceseedling and arableland. Train-val and test datasets are all included. --- ### Dataset of Rice Seedling Detection (Train-Val) **[RiceSeedlingDetection.tgz (uncompressed size 19.1MB)](https://aidata.nchu.edu.tw/smarter/dataset/smarter_07_5d4088_0_rice_20240318_objc_detect/resource/e3f00e59-2bcc-4380-92eb-a6f147eeb753)** This is a PASCAL VOC format object-detection dataset, which includes two folders: JPEGImaegs and Annotations. --- ### Dataset of Detection Demonstration (Test) **[RiceSeedlingDemo.tgz (uncompressed size 48.5MB)](https://aidata.nchu.edu.tw/smarter/dataset/smarter_07_5d4088_0_rice_20240318_objc_detect/resource/3d5616d6-869d-437a-abdd-c070db7ed029)** This file contains 8 detection demo images and the corresponging PASCAL VOC xml format annotations. --- ### An overview of the region of different datasets ![An overview of image dataset](https://aidata.nchu.edu.tw/smarter/sftp/7e2a89ef-2875-481a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/Datasets_Area_Overview.png) An overview of the field no. 80 (cyan bounding area) in TARI, Taichung. Image acquired on August 7, 2018. The green bounding area represents the area for training-validation dataset, and the red bounding area represents the subsets for object detection demonstration dataset. ## 2. Dataset of Rice Seedling Classification This dataset contains two classes: * `rice seedling` * `arable land` ### An overview of image dataset ![An overview of image dataset](https://aidata.nchu.edu.tw/smarter/sftp/7e2a89ef-2875-481a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/dataset.png) ### The number of images used for training, validation, and testing in the rice seedling dataset ![Samples of classification dataset](https://aidata.nchu.edu.tw/smarter/sftp/7e2a89ef-2875-481a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/Samples_of_datasets.png) ## 3. Dataset of Rice Seedling Detection This dataset is used for object-detection model training and validation. * PASCAL VOC xml format annotation * 3 consecutive mission: Aug 7<sup>th</sup>, Aug 14<sup>th</sup> and Aug 23<sup>rd</sup> * 8 subsets * 25 samples/subset * 600 samples total ### Examples of three growth stages of the rice seedling detection dataset ![Examples of detection dataset](https://aidata.nchu.edu.tw/smarter/sftp/7e2a89ef-2875-481a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/Detection_Dataset.png) ## 4. Detection Demo Dataset This dataset is used for patch-based object-detection scenario. * 8 subsets * 8m x 8m region * 1527 x 1527 pixels * PASCAL VOC xml format annotation ### An overview of 8 detection demo images ![An overview of 8 detection demo images](https://aidata.nchu.edu.tw/smarter/sftp/7e2a89ef-2875-481a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/DemoClip.png)
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Uploaded a new file to resource RiceSeedlingDemo.tgz in Rice Seedling Dataset 水稻秧苗辨識資料集
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Uploaded a new file to resource RiceSeedlingDetection.tgz in Rice Seedling Dataset 水稻秧苗辨識資料集
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73 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | 73 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | ||
74 | \"serial\": \"1-7\", \"question\": | 74 | \"serial\": \"1-7\", \"question\": | ||
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76 | \"answer\": | 76 | \"answer\": | ||
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78 | (HOTL)\\u65b9\\u5f0f\\u76e3\\u7763|\\u4ee5Human-in-command | 78 | (HOTL)\\u65b9\\u5f0f\\u76e3\\u7763|\\u4ee5Human-in-command | ||
79 | (HIC)\\u65b9\\u5f0f\\u76e3\\u7763|\\u4e0d\\u9069\\u7528\", | 79 | (HIC)\\u65b9\\u5f0f\\u76e3\\u7763|\\u4e0d\\u9069\\u7528\", | ||
80 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | 80 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | ||
81 | Skills\", \"serial\": \"6-3\", \"question\": | 81 | Skills\", \"serial\": \"6-3\", \"question\": | ||
82 | 985e\\u7684\\u8077\\u696d\\u53ca\\u5de5\\u4f5c\\u5b89\\u6392\\uff1f\", | 82 | 985e\\u7684\\u8077\\u696d\\u53ca\\u5de5\\u4f5c\\u5b89\\u6392\\uff1f\", | ||
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84 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Explainability\", | 84 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Explainability\", | ||
85 | \"serial\": \"4-3\", \"question\": | 85 | \"serial\": \"4-3\", \"question\": | ||
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88 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 88 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
89 | \"serial\": \"7-3-1\", \"question\": | 89 | \"serial\": \"7-3-1\", \"question\": | ||
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92 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Auditability\", | 92 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Auditability\", | ||
93 | \"serial\": \"7-2\", \"question\": | 93 | \"serial\": \"7-2\", \"question\": | ||
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96 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | 96 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | ||
97 | \"serial\": \"1-8\", \"question\": \"\\u5c0d\\u65bc\\u4ee5HITL | 97 | \"serial\": \"1-8\", \"question\": \"\\u5c0d\\u65bc\\u4ee5HITL | ||
98 | \\u3001HOTL | 98 | \\u3001HOTL | ||
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101 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | 101 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | ||
102 | Attack and Security\", \"serial\": \"2-2\", \"question\": | 102 | Attack and Security\", \"serial\": \"2-2\", \"question\": | ||
103 | 7b26\\u5408\\u7279\\u5b9a\\u7684\\u5b89\\u5168\\u6a19\\u6e96\\uff1f\", | 103 | 7b26\\u5408\\u7279\\u5b9a\\u7684\\u5b89\\u5168\\u6a19\\u6e96\\uff1f\", | ||
104 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 104 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
105 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 105 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
106 | \"serial\": \"2-7-1\", \"question\": | 106 | \"serial\": \"2-7-1\", \"question\": | ||
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108 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 108 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
109 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society | 109 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society | ||
110 | at large or Democracy\", \"serial\": \"6-8-1\", \"question\": | 110 | at large or Democracy\", \"serial\": \"6-8-1\", \"question\": | ||
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112 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 112 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
113 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", | 113 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", | ||
114 | \"serial\": \"2-13\", \"question\": | 114 | \"serial\": \"2-13\", \"question\": | ||
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116 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 116 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
117 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | 117 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | ||
118 | Fall-back Plans and Reproducibility\", \"serial\": \"2-17-1\", | 118 | Fall-back Plans and Reproducibility\", \"serial\": \"2-17-1\", | ||
119 | \"question\": | 119 | \"question\": | ||
120 | \\u78ba\\u5b9a\\u7fa9\\u7684\\u6d41\\u7a0b\\uff0c\\u4ee5\\u76e3\\u63a7 | 120 | \\u78ba\\u5b9a\\u7fa9\\u7684\\u6d41\\u7a0b\\uff0c\\u4ee5\\u76e3\\u63a7 | ||
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122 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 122 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
123 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Privacy\", | 123 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Privacy\", | ||
124 | \"serial\": \"3-2\", \"question\": | 124 | \"serial\": \"3-2\", \"question\": | ||
125 | 7cfb\\u7d71\\u7684\\u96b1\\u79c1\\u76f8\\u95dc\\u554f\\u984c\\uff1f\", | 125 | 7cfb\\u7d71\\u7684\\u96b1\\u79c1\\u76f8\\u95dc\\u554f\\u984c\\uff1f\", | ||
126 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 126 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
127 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | 127 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | ||
128 | \"serial\": \"3-4\", \"question\": | 128 | \"serial\": \"3-4\", \"question\": | ||
129 | 84\\u5f37\\u5236\\u6027\\u63aa\\u65bd\\uff1f(\\u53ef\\u8907\\u9078)\", | 129 | 84\\u5f37\\u5236\\u6027\\u63aa\\u65bd\\uff1f(\\u53ef\\u8907\\u9078)\", | ||
130 | \"answer\": | 130 | \"answer\": | ||
131 | 9(\\u5305\\u542b\\u7279\\u7a2e\\u8cc7\\u6599)|\\u4e0d\\u9069\\u7528\", | 131 | 9(\\u5305\\u542b\\u7279\\u7a2e\\u8cc7\\u6599)|\\u4e0d\\u9069\\u7528\", | ||
132 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | 132 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | ||
133 | \"serial\": \"4-1-1\", \"question\": | 133 | \"serial\": \"4-1-1\", \"question\": | ||
134 | 38\\u5165AI\\u7cfb\\u7d71\\u8cc7\\u6599\\u7684\\u54c1\\u8cea\\uff1f\", | 134 | 38\\u5165AI\\u7cfb\\u7d71\\u8cc7\\u6599\\u7684\\u54c1\\u8cea\\uff1f\", | ||
135 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 135 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
136 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", | 136 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", | ||
137 | \"serial\": \"4-5\", \"question\": | 137 | \"serial\": \"4-5\", \"question\": | ||
138 | 76ee\\u7684\\u3001\\u6a19\\u6e96\\u8207\\u4fb7\\u9650\\u6027\\uff1f\", | 138 | 76ee\\u7684\\u3001\\u6a19\\u6e96\\u8207\\u4fb7\\u9650\\u6027\\uff1f\", | ||
139 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 139 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
140 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 140 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
141 | Bias\", \"serial\": \"5-2\", \"question\": | 141 | Bias\", \"serial\": \"5-2\", \"question\": | ||
142 | 9ad4\\u7684\\u591a\\u6a23\\u6027\\u53ca\\u4ee3\\u8868\\u6027\\uff1f\", | 142 | 9ad4\\u7684\\u591a\\u6a23\\u6027\\u53ca\\u4ee3\\u8868\\u6027\\uff1f\", | ||
143 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 143 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
144 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 144 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
145 | Autonomy\", \"serial\": \"1-1-1\", \"question\": | 145 | Autonomy\", \"serial\": \"1-1-1\", \"question\": | ||
146 | \\u5426\\u4f7f\\u7d42\\u7aef\\u4f7f\\u7528\\u8005\\u6216\\u4e3b\\u9ad4 | 146 | \\u5426\\u4f7f\\u7d42\\u7aef\\u4f7f\\u7528\\u8005\\u6216\\u4e3b\\u9ad4 | ||
147 | 3ef\\u80fd\\u4e0d\\u77e5\\u9053\\u6216\\u611f\\u5230\\u56f0\\u60d1)\", | 147 | 3ef\\u80fd\\u4e0d\\u77e5\\u9053\\u6216\\u611f\\u5230\\u56f0\\u60d1)\", | ||
148 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 148 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
149 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | 149 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | ||
150 | Skills\", \"serial\": \"6-4\", \"question\": | 150 | Skills\", \"serial\": \"6-4\", \"question\": | ||
151 | 9d4\\u54e1\\u6703)\\uff0c\\u4e26\\u8207\\u4e4b\\u5354\\u5546\\uff1f\", | 151 | 9d4\\u54e1\\u6703)\\uff0c\\u4e26\\u8207\\u4e4b\\u5354\\u5546\\uff1f\", | ||
152 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 152 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
153 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental | 153 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental | ||
154 | Well-being\", \"serial\": \"6-1-1\", \"question\": | 154 | Well-being\", \"serial\": \"6-1-1\", \"question\": | ||
155 | 5225\\u51fa\\u54ea\\u4e9b\\u6f5b\\u5728\\u7684\\u5f71\\u97ff\\uff1f\", | 155 | 5225\\u51fa\\u54ea\\u4e9b\\u6f5b\\u5728\\u7684\\u5f71\\u97ff\\uff1f\", | ||
156 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 156 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
157 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | 157 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | ||
158 | Universal Design\", \"serial\": \"5-7\", \"question\": | 158 | Universal Design\", \"serial\": \"5-7\", \"question\": | ||
159 | 88ab\\u6392\\u65a5\\u5728\\u5916\\u7684\\u4eba\\u4f7f\\u7528\\uff1f\", | 159 | 88ab\\u6392\\u65a5\\u5728\\u5916\\u7684\\u4eba\\u4f7f\\u7528\\uff1f\", | ||
160 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 160 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
161 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | 161 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | ||
162 | Attack and Security\", \"serial\": \"2-3\", \"question\": | 162 | Attack and Security\", \"serial\": \"2-3\", \"question\": | ||
163 | 8def\\u653b\\u64ca\\u7684\\u98a8\\u96aa\\u6709\\u591a\\u5927\\uff1f\", | 163 | 8def\\u653b\\u64ca\\u7684\\u98a8\\u96aa\\u6709\\u591a\\u5927\\uff1f\", | ||
164 | \"answer\": | 164 | \"answer\": | ||
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166 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | 166 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | ||
167 | \"serial\": \"1-9\", \"question\": | 167 | \"serial\": \"1-9\", \"question\": | ||
168 | 5efa\\u7acb\\u5075\\u6e2c\\u53ca\\u53cd\\u61c9\\u6a5f\\u5236\\uff1f\", | 168 | 5efa\\u7acb\\u5075\\u6e2c\\u53ca\\u53cd\\u61c9\\u6a5f\\u5236\\uff1f\", | ||
169 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 169 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
170 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 170 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
171 | \"serial\": \"7-4\", \"question\": | 171 | \"serial\": \"7-4\", \"question\": | ||
172 | 662f\\u5426\\u6703\\u7c4c\\u8fa6\\u98a8\\u96aa\\u57f9\\u8a13\\uff1f\", | 172 | 662f\\u5426\\u6703\\u7c4c\\u8fa6\\u98a8\\u96aa\\u57f9\\u8a13\\uff1f\", | ||
173 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 173 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
174 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", | 174 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", | ||
175 | \"serial\": \"2-14\", \"question\": | 175 | \"serial\": \"2-14\", \"question\": | ||
176 | 04AI\\u7cfb\\u7d71\\u6e96\\u78ba\\u6027\\u4e4b\\u6b65\\u9a5f\\uff1f\", | 176 | 04AI\\u7cfb\\u7d71\\u6e96\\u78ba\\u6027\\u4e4b\\u6b65\\u9a5f\\uff1f\", | ||
177 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 177 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
178 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | 178 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | ||
179 | Fall-back Plans and Reproducibility\", \"serial\": \"2-17-2\", | 179 | Fall-back Plans and Reproducibility\", \"serial\": \"2-17-2\", | ||
180 | \"question\": | 180 | \"question\": | ||
181 | 8003\\u616e\\uff0c\\u4ee5\\u78ba\\u4fdd\\u518d\\u73fe\\u6027\\uff1f\", | 181 | 8003\\u616e\\uff0c\\u4ee5\\u78ba\\u4fdd\\u518d\\u73fe\\u6027\\uff1f\", | ||
182 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 182 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
183 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | 183 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | ||
184 | Skills\", \"serial\": \"6-5\", \"question\": | 184 | Skills\", \"serial\": \"6-5\", \"question\": | ||
185 | 7684\\u5f71\\u97ff\\uff0c\\u88ab\\u5145\\u5206\\u77ad\\u89e3\\uff1f\", | 185 | 7684\\u5f71\\u97ff\\uff0c\\u88ab\\u5145\\u5206\\u77ad\\u89e3\\uff1f\", | ||
186 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 186 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
187 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | 187 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | ||
188 | \"serial\": \"3-4-1\", \"question\": | 188 | \"serial\": \"3-4-1\", \"question\": | ||
189 | 0d\\u7d0d\\u5165AI\\u7cfb\\u7d71\\u7684\\u958b\\u767c\\u4e2d\\uff1f\", | 189 | 0d\\u7d0d\\u5165AI\\u7cfb\\u7d71\\u7684\\u958b\\u767c\\u4e2d\\uff1f\", | ||
190 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 190 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
191 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | 191 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | ||
192 | \"serial\": \"4-1-2\", \"question\": | 192 | \"serial\": \"4-1-2\", \"question\": | ||
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195 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | 195 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | ||
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199 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", | 199 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", | ||
200 | \"serial\": \"4-5-1\", \"question\": | 200 | \"serial\": \"4-5-1\", \"question\": | ||
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203 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 203 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
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207 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental | 207 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental | ||
208 | Well-being\", \"serial\": \"6-2\", \"question\": | 208 | Well-being\", \"serial\": \"6-2\", \"question\": | ||
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211 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 211 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
212 | Bias\", \"serial\": \"5-2-1\", \"question\": | 212 | Bias\", \"serial\": \"5-2-1\", \"question\": | ||
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215 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 215 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
216 | \"serial\": \"2-7-2\", \"question\": | 216 | \"serial\": \"2-7-2\", \"question\": | ||
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219 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society | 219 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society | ||
220 | at large or Democracy\", \"serial\": \"6-8-2\", \"question\": | 220 | at large or Democracy\", \"serial\": \"6-8-2\", \"question\": | ||
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223 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | 223 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | ||
224 | \"serial\": \"1-10\", \"question\": | 224 | \"serial\": \"1-10\", \"question\": | ||
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227 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 227 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
228 | Autonomy\", \"serial\": \"1-2\", \"question\": | 228 | Autonomy\", \"serial\": \"1-2\", \"question\": | ||
229 | 07AI\\u4e92\\u52d5\\u300d\\uff0c\\u7522\\u751f\\u6df7\\u6dc6\\uff1f\", | 229 | 07AI\\u4e92\\u52d5\\u300d\\uff0c\\u7522\\u751f\\u6df7\\u6dc6\\uff1f\", | ||
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231 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental | 231 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental | ||
232 | Well-being\", \"serial\": \"6-2-1\", \"question\": | 232 | Well-being\", \"serial\": \"6-2-1\", \"question\": | ||
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235 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | 235 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | ||
236 | \"serial\": \"3-4-2\", \"question\": | 236 | \"serial\": \"3-4-2\", \"question\": | ||
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239 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", | 239 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", | ||
240 | \"serial\": \"4-5-2\", \"question\": | 240 | \"serial\": \"4-5-2\", \"question\": | ||
241 | 176\\u6e96\\u78ba\\u5ea6\\u8207/\\u6216\\u932f\\u8aa4\\u7387\\uff1f\", | 241 | 176\\u6e96\\u78ba\\u5ea6\\u8207/\\u6216\\u932f\\u8aa4\\u7387\\uff1f\", | ||
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243 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | 243 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | ||
244 | \"serial\": \"4-1-3\", \"question\": | 244 | \"serial\": \"4-1-3\", \"question\": | ||
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247 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 247 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
248 | Bias\", \"serial\": \"5-2-2\", \"question\": | 248 | Bias\", \"serial\": \"5-2-2\", \"question\": | ||
249 | 3001\\u6a21\\u578b\\u8207\\u6027\\u80fd\\u7684\\u7406\\u89e3\\uff1f\", | 249 | 3001\\u6a21\\u578b\\u8207\\u6027\\u80fd\\u7684\\u7406\\u89e3\\uff1f\", | ||
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251 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 251 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
252 | \"serial\": \"2-8\", \"question\": | 252 | \"serial\": \"2-8\", \"question\": | ||
253 | 883\\u5a01\\u8105)\\u53ca\\u53ef\\u80fd\\u7684\\u5f8c\\u679c\\uff1f\", | 253 | 883\\u5a01\\u8105)\\u53ca\\u53ef\\u80fd\\u7684\\u5f8c\\u679c\\uff1f\", | ||
254 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 254 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
255 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 255 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
256 | \"serial\": \"7-4-1\", \"question\": | 256 | \"serial\": \"7-4-1\", \"question\": | ||
257 | 28\\u65bcAI\\u7cfb\\u7d71\\u7684\\u6cd5\\u5f8b\\u898f\\u7bc4\\uff1f\", | 257 | 28\\u65bcAI\\u7cfb\\u7d71\\u7684\\u6cd5\\u5f8b\\u898f\\u7bc4\\uff1f\", | ||
258 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 258 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
259 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", | 259 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", | ||
260 | \"serial\": \"2-15\", \"question\": | 260 | \"serial\": \"2-15\", \"question\": | ||
261 | a13\\u7df4\\u7684\\u8cc7\\u6599\\u6216\\u5047\\u8a2d\\u5931\\u6548?\", | 261 | a13\\u7df4\\u7684\\u8cc7\\u6599\\u6216\\u5047\\u8a2d\\u5931\\u6548?\", | ||
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263 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | 263 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | ||
264 | Attack and Security\", \"serial\": \"2-3-1\", \"question\": | 264 | Attack and Security\", \"serial\": \"2-3-1\", \"question\": | ||
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266 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 266 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
267 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society | 267 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society | ||
268 | at large or Democracy\", \"serial\": \"6-8-3\", \"question\": | 268 | at large or Democracy\", \"serial\": \"6-8-3\", \"question\": | ||
269 | 4e3b\\u4e0d\\u6703\\u7522\\u751f\\u8ca0\\u9762\\u5f71\\u97ff\\uff1f\", | 269 | 4e3b\\u4e0d\\u6703\\u7522\\u751f\\u8ca0\\u9762\\u5f71\\u97ff\\uff1f\", | ||
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271 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | 271 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | ||
272 | Fall-back Plans and Reproducibility\", \"serial\": \"2-18\", | 272 | Fall-back Plans and Reproducibility\", \"serial\": \"2-18\", | ||
273 | \"question\": | 273 | \"question\": | ||
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275 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 275 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
276 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | 276 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | ||
277 | Universal Design\", \"serial\": \"5-7-2\", \"question\": | 277 | Universal Design\", \"serial\": \"5-7-2\", \"question\": | ||
278 | 4e3b\\u9ad4\\uff0c\\u4f86\\u53c3\\u8207\\u6216\\u8aee\\u8a62\\uff1f\", | 278 | 4e3b\\u9ad4\\uff0c\\u4f86\\u53c3\\u8207\\u6216\\u8aee\\u8a62\\uff1f\", | ||
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280 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | 280 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | ||
281 | Skills\", \"serial\": \"6-5-1\", \"question\": | 281 | Skills\", \"serial\": \"6-5-1\", \"question\": | ||
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283 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 283 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
284 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | 284 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | ||
285 | Skills\", \"serial\": \"6-6\", \"question\": | 285 | Skills\", \"serial\": \"6-6\", \"question\": | ||
286 | 2f\\u5426\\u6709\\u52de\\u52d5\\u529b\\u53bb\\u6280\\u8853\\u5316(risk | 286 | 2f\\u5426\\u6709\\u52de\\u52d5\\u529b\\u53bb\\u6280\\u8853\\u5316(risk | ||
287 | of de-skilling of the workforce)\\u7684\\u98a8\\u96aa\\uff1f\", | 287 | of de-skilling of the workforce)\\u7684\\u98a8\\u96aa\\uff1f\", | ||
288 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 288 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
289 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | 289 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | ||
290 | Universal Design\", \"serial\": \"5-8\", \"question\": | 290 | Universal Design\", \"serial\": \"5-8\", \"question\": | ||
291 | ff0c\\u8003\\u616e\\u901a\\u7528\\u8a2d\\u8a08\\u539f\\u5247(Universal | 291 | ff0c\\u8003\\u616e\\u901a\\u7528\\u8a2d\\u8a08\\u539f\\u5247(Universal | ||
292 | Design principles)\\uff1f\", \"answer\": | 292 | Design principles)\\uff1f\", \"answer\": | ||
293 | \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 293 | \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
294 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | 294 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | ||
295 | \"serial\": \"1-11\", \"question\": | 295 | \"serial\": \"1-11\", \"question\": | ||
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297 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 297 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
298 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | 298 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | ||
299 | \"serial\": \"3-5\", \"question\": | 299 | \"serial\": \"3-5\", \"question\": | ||
300 | 79c1\\u53ca\\u8cc7\\u6599\\u4fdd\\u8b77\\u7684\\u5f71\\u97ff\\uff1f\", | 300 | 79c1\\u53ca\\u8cc7\\u6599\\u4fdd\\u8b77\\u7684\\u5f71\\u97ff\\uff1f\", | ||
301 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 301 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
302 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | 302 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | ||
303 | \"serial\": \"4-1-4\", \"question\": | 303 | \"serial\": \"4-1-4\", \"question\": | ||
304 | 55\\u4f30AI\\u7cfb\\u7d71\\u8f38\\u51fa\\u7684\\u54c1\\u8cea\\uff1f\", | 304 | 55\\u4f30AI\\u7cfb\\u7d71\\u8f38\\u51fa\\u7684\\u54c1\\u8cea\\uff1f\", | ||
305 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 305 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
306 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 306 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
307 | Autonomy\", \"serial\": \"1-2-1\", \"question\": | 307 | Autonomy\", \"serial\": \"1-2-1\", \"question\": | ||
308 | d6\\u5011\\u6b63\\u5728\\u8207AI\\u7cfb\\u7d71\\u4e92\\u52d5\\uff1f\", | 308 | d6\\u5011\\u6b63\\u5728\\u8207AI\\u7cfb\\u7d71\\u4e92\\u52d5\\uff1f\", | ||
309 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 309 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
310 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 310 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
311 | Bias\", \"serial\": \"5-2-3\", \"question\": | 311 | Bias\", \"serial\": \"5-2-3\", \"question\": | ||
312 | ee3\\u8868\\u6027)\\u800c\\u5c0e\\u81f4\\u7684\\u504f\\u898b\\uff1f\", | 312 | ee3\\u8868\\u6027)\\u800c\\u5c0e\\u81f4\\u7684\\u504f\\u898b\\uff1f\", | ||
313 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 313 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
314 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", | 314 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", | ||
315 | \"serial\": \"4-5-3\", \"question\": | 315 | \"serial\": \"4-5-3\", \"question\": | ||
316 | 57f9\\u8a13\\u8cc7\\u6599\\u8207\\u514d\\u8cac\\u8072\\u660e\\uff1f\", | 316 | 57f9\\u8a13\\u8cc7\\u6599\\u8207\\u514d\\u8cac\\u8072\\u660e\\uff1f\", | ||
317 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 317 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
318 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 318 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
319 | \"serial\": \"2-8-1\", \"question\": | 319 | \"serial\": \"2-8-1\", \"question\": | ||
320 | 6feb\\u7528\\u6216\\u4e0d\\u7576\\u4f7f\\u7528\\u98a8\\u96aa\\uff1f\", | 320 | 6feb\\u7528\\u6216\\u4e0d\\u7576\\u4f7f\\u7528\\u98a8\\u96aa\\uff1f\", | ||
321 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 321 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
322 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", | 322 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", | ||
323 | \"serial\": \"2-16\", \"question\": | 323 | \"serial\": \"2-16\", \"question\": | ||
324 | 40\\u671f\\u5f85\\u7684AI\\u6e96\\u78ba\\u6027\\u7a0b\\u5ea6\\uff1f\", | 324 | 40\\u671f\\u5f85\\u7684AI\\u6e96\\u78ba\\u6027\\u7a0b\\u5ea6\\uff1f\", | ||
325 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 325 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
326 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | 326 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | ||
327 | Attack and Security\", \"serial\": \"2-3-2\", \"question\": | 327 | Attack and Security\", \"serial\": \"2-3-2\", \"question\": | ||
328 | 28\\u7684\\u653b\\u64ca\\u9ede\\u70ba\\uff1a(\\u53ef\\u8907\\u9078)\", | 328 | 28\\u7684\\u653b\\u64ca\\u9ede\\u70ba\\uff1a(\\u53ef\\u8907\\u9078)\", | ||
329 | \"answer\": \"\\u8907\\u9078^\\u8cc7\\u6599\\u6c61\\u67d3\\uff08Data | 329 | \"answer\": \"\\u8907\\u9078^\\u8cc7\\u6599\\u6c61\\u67d3\\uff08Data | ||
330 | poisoning, | 330 | poisoning, | ||
331 | 3\\u7df4\\u8cc7\\u6599\\uff09|\\u6a21\\u578b\\u898f\\u907f\\uff08Model | 331 | 3\\u7df4\\u8cc7\\u6599\\uff09|\\u6a21\\u578b\\u898f\\u907f\\uff08Model | ||
332 | evasion, | 332 | evasion, | ||
333 | 6\\u985e\\uff09|\\u6a21\\u578b\\u9006\\u5411\\u653b\\u64ca\\uff08Model | 333 | 6\\u985e\\uff09|\\u6a21\\u578b\\u9006\\u5411\\u653b\\u64ca\\uff08Model | ||
334 | inversion, | 334 | inversion, | ||
335 | 3a8\\u65b7\\u6a21\\u578b\\u53c3\\u6578\\uff09|\\u4e0d\\u9069\\u7528\", | 335 | 3a8\\u65b7\\u6a21\\u578b\\u53c3\\u6578\\uff09|\\u4e0d\\u9069\\u7528\", | ||
336 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | 336 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | ||
337 | Fall-back Plans and Reproducibility\", \"serial\": \"2-18-1\", | 337 | Fall-back Plans and Reproducibility\", \"serial\": \"2-18-1\", | ||
338 | \"question\": | 338 | \"question\": | ||
339 | 8cf4\\u6027\\u53ca\\u518d\\u73fe\\u6027\\u7684\\u6d41\\u7a0b\\uff1f\", | 339 | 8cf4\\u6027\\u53ca\\u518d\\u73fe\\u6027\\u7684\\u6d41\\u7a0b\\uff1f\", | ||
340 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 340 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
341 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 341 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
342 | \"serial\": \"7-5\", \"question\": | 342 | \"serial\": \"7-5\", \"question\": | ||
343 | 5728\\u4e0d\\u660e\\u78ba\\u7684\\u7070\\u8272\\u5730\\u5e36\\uff1f\", | 343 | 5728\\u4e0d\\u660e\\u78ba\\u7684\\u7070\\u8272\\u5730\\u5e36\\uff1f\", | ||
344 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 344 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
345 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 345 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
346 | Autonomy\", \"serial\": \"1-3\", \"question\": | 346 | Autonomy\", \"serial\": \"1-3\", \"question\": | ||
347 | 800c\\u5f71\\u97ff\\u4eba\\u985e\\u7684\\u81ea\\u4e3b\\u6027\\uff1f\", | 347 | 800c\\u5f71\\u97ff\\u4eba\\u985e\\u7684\\u81ea\\u4e3b\\u6027\\uff1f\", | ||
348 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 348 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
349 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | 349 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | ||
350 | Skills\", \"serial\": \"6-6-1\", \"question\": | 350 | Skills\", \"serial\": \"6-6-1\", \"question\": | ||
351 | 7de9\\u89e3\\u53bb\\u6280\\u8853\\u5316\\u7684\\u98a8\\u96aa\\uff1f\", | 351 | 7de9\\u89e3\\u53bb\\u6280\\u8853\\u5316\\u7684\\u98a8\\u96aa\\uff1f\", | ||
352 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 352 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
353 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | 353 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | ||
354 | \"serial\": \"3-6\", \"question\": | 354 | \"serial\": \"3-6\", \"question\": | ||
355 | \u7cfb\\u7d71\\u7b26\\u5408\\u76f8\\u95dc\\u6a19\\u6e96(\\u4f8b\\u5982 | 355 | \u7cfb\\u7d71\\u7b26\\u5408\\u76f8\\u95dc\\u6a19\\u6e96(\\u4f8b\\u5982 | ||
356 | 8cc7\\u6599\\u7ba1\\u7406\\u53ca\\u6cbb\\u7406\\u5354\\u5b9a\\uff1f\", | 356 | 8cc7\\u6599\\u7ba1\\u7406\\u53ca\\u6cbb\\u7406\\u5354\\u5b9a\\uff1f\", | ||
357 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 357 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
358 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | 358 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | ||
359 | Attack and Security\", \"serial\": \"2-4\", \"question\": | 359 | Attack and Security\", \"serial\": \"2-4\", \"question\": | ||
360 | 7a69\\u5065\\u6027\\u53ca\\u6574\\u9ad4\\u5b89\\u5168\\u6027\\uff1f\", | 360 | 7a69\\u5065\\u6027\\u53ca\\u6574\\u9ad4\\u5b89\\u5168\\u6027\\uff1f\", | ||
361 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 361 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
362 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | 362 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | ||
363 | Fall-back Plans and Reproducibility\", \"serial\": \"2-19\", | 363 | Fall-back Plans and Reproducibility\", \"serial\": \"2-19\", | ||
364 | \"question\": | 364 | \"question\": | ||
365 | u756b\\uff0c\\u4ee5\\u89e3\\u6c7a\\u4efb\\u4f55\\u4f86\\u6e90\\u7684AI | 365 | u756b\\uff0c\\u4ee5\\u89e3\\u6c7a\\u4efb\\u4f55\\u4f86\\u6e90\\u7684AI | ||
366 | 6cbb\\u7406\\u7a0b\\u5e8f\\u4f86\\u89f8\\u767c\\u5b83\\u5011\\uff1f\", | 366 | 6cbb\\u7406\\u7a0b\\u5e8f\\u4f86\\u89f8\\u767c\\u5b83\\u5011\\uff1f\", | ||
367 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 367 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
368 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 368 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
369 | \"serial\": \"7-6\", \"question\": | 369 | \"serial\": \"7-6\", \"question\": | ||
370 | 2c\\u53ef\\u4fe1\\u4efbAI\\u81ea\\u6211\\u8a55\\u4f30\\u8868\\uff1f\", | 370 | 2c\\u53ef\\u4fe1\\u4efbAI\\u81ea\\u6211\\u8a55\\u4f30\\u8868\\uff1f\", | ||
371 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 371 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
372 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 372 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
373 | \"serial\": \"2-8-2\", \"question\": | 373 | \"serial\": \"2-8-2\", \"question\": | ||
374 | 83c\\u5b8c\\u6574\\u6027\\uff1a\\u8eab\\u5fc3\\u5b8c\\u6574\\u6027)\", | 374 | 83c\\u5b8c\\u6574\\u6027\\uff1a\\u8eab\\u5fc3\\u5b8c\\u6574\\u6027)\", | ||
375 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 375 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
376 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 376 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
377 | Bias\", \"serial\": \"5-2-4\", \"question\": | 377 | Bias\", \"serial\": \"5-2-4\", \"question\": | ||
378 | 9ad4\\u7684\\u591a\\u6a23\\u6027\\u8207\\u4ee3\\u8868\\u6027\\uff1f\", | 378 | 9ad4\\u7684\\u591a\\u6a23\\u6027\\u8207\\u4ee3\\u8868\\u6027\\uff1f\", | ||
379 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 379 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
380 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | 380 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | ||
381 | \"serial\": \"4-1-5\", \"question\": | 381 | \"serial\": \"4-1-5\", \"question\": | ||
382 | 04AI\\u7cfb\\u7d71\\u7684\\u6c7a\\u7b56\\u6216\\u5efa\\u8b70\\uff1f\", | 382 | 04AI\\u7cfb\\u7d71\\u7684\\u6c7a\\u7b56\\u6216\\u5efa\\u8b70\\uff1f\", | ||
383 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 383 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
384 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | 384 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | ||
385 | Universal Design\", \"serial\": \"5-9\", \"question\": | 385 | Universal Design\", \"serial\": \"5-9\", \"question\": | ||
386 | 3ca/\\u6216\\u4e3b\\u9ad4\\u7684\\u5404\\u7a2e\\u5f71\\u97ff\\uff1f\", | 386 | 3ca/\\u6216\\u4e3b\\u9ad4\\u7684\\u5404\\u7a2e\\u5f71\\u97ff\\uff1f\", | ||
387 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 387 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
388 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | 388 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | ||
389 | Attack and Security\", \"serial\": \"2-5\", \"question\": | 389 | Attack and Security\", \"serial\": \"2-5\", \"question\": | ||
390 | \\u662f\\u5426\\u5df2\\u5c0d\\u7cfb\\u7d71\\u9032\\u884c\\u7d05\\u968a | 390 | \\u662f\\u5426\\u5df2\\u5c0d\\u7cfb\\u7d71\\u9032\\u884c\\u7d05\\u968a | ||
391 | / \\u6e2c\\u8a66\\uff1f\", \"answer\": | 391 | / \\u6e2c\\u8a66\\uff1f\", \"answer\": | ||
392 | \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 392 | \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
393 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 393 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
394 | \"serial\": \"2-9\", \"question\": | 394 | \"serial\": \"2-9\", \"question\": | ||
395 | 53ef\\u4fe1\\u8cf4\\u884c\\u70ba\\u7684\\u4f9d\\u8cf4\\u6027\\uff1f\", | 395 | 53ef\\u4fe1\\u8cf4\\u884c\\u70ba\\u7684\\u4f9d\\u8cf4\\u6027\\uff1f\", | ||
396 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 396 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
397 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 397 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
398 | Autonomy\", \"serial\": \"1-3-1\", \"question\": | 398 | Autonomy\", \"serial\": \"1-3-1\", \"question\": | ||
399 | 42\\u7aef\\u4f7f\\u7528\\u8005\\u904e\\u5ea6\\u4f9d\\u8cf4AI\\uff1f\", | 399 | 42\\u7aef\\u4f7f\\u7528\\u8005\\u904e\\u5ea6\\u4f9d\\u8cf4AI\\uff1f\", | ||
400 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 400 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
401 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | 401 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | ||
402 | Fall-back Plans and Reproducibility\", \"serial\": \"2-20\", | 402 | Fall-back Plans and Reproducibility\", \"serial\": \"2-20\", | ||
403 | \"question\": | 403 | \"question\": | ||
404 | 679c\\uff0c\\u4fe1\\u4efb\\u5ea6\\u4f4e\\u7684\\u60c5\\u6cc1\\uff1f\", | 404 | 679c\\uff0c\\u4fe1\\u4efb\\u5ea6\\u4f4e\\u7684\\u60c5\\u6cc1\\uff1f\", | ||
405 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 405 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
406 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 406 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
407 | Bias\", \"serial\": \"5-3\", \"question\": | 407 | Bias\", \"serial\": \"5-3\", \"question\": | ||
408 | 6642\\uff0c\\u53ef\\u80fd\\u6ce8\\u5165\\u7684\\u504f\\u898b\\uff1f\", | 408 | 6642\\uff0c\\u53ef\\u80fd\\u6ce8\\u5165\\u7684\\u504f\\u898b\\uff1f\", | ||
409 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 409 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
410 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | 410 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | ||
411 | Universal Design\", \"serial\": \"5-9-1\", \"question\": | 411 | Universal Design\", \"serial\": \"5-9-1\", \"question\": | ||
412 | 005\\u8207/\\u6216\\u4e3b\\u9ad4\\u9032\\u884c\\u63a5\\u89f8\\uff1f\", | 412 | 005\\u8207/\\u6216\\u4e3b\\u9ad4\\u9032\\u884c\\u63a5\\u89f8\\uff1f\", | ||
413 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 413 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
414 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | 414 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | ||
415 | Skills\", \"serial\": \"6-7\", \"question\": | 415 | Skills\", \"serial\": \"6-7\", \"question\": | ||
416 | 16\\u9700\\u6c42\\u65b0\\u7684(\\u6578\\u4f4d)\\u6280\\u80fd\\uff1f\", | 416 | 16\\u9700\\u6c42\\u65b0\\u7684(\\u6578\\u4f4d)\\u6280\\u80fd\\uff1f\", | ||
417 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 417 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
418 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 418 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
419 | \"serial\": \"7-6-1\", \"question\": | 419 | \"serial\": \"7-6-1\", \"question\": | ||
420 | f5c\\u51fa\\u300c\\u6b0a\\u8861\\u6c7a\\u5b9a\\u300d(\\\"trade-off\\\" | 420 | f5c\\u51fa\\u300c\\u6b0a\\u8861\\u6c7a\\u5b9a\\u300d(\\\"trade-off\\\" | ||
421 | decisions)\\u7684\\u89e3\\u91cb\\uff1f\", \"answer\": | 421 | decisions)\\u7684\\u89e3\\u91cb\\uff1f\", \"answer\": | ||
422 | \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 422 | \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
423 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 423 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
424 | \"serial\": \"7-6-2\", \"question\": | 424 | \"serial\": \"7-6-2\", \"question\": | ||
425 | 4e4b\\u4eba\\uff0c\\u63d0\\u4f9b\\u9069\\u7576\\u57f9\\u8a13\\uff1f\", | 425 | 4e4b\\u4eba\\uff0c\\u63d0\\u4f9b\\u9069\\u7576\\u57f9\\u8a13\\uff1f\", | ||
426 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 426 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
427 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | 427 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | ||
428 | Fall-back Plans and Reproducibility\", \"serial\": \"2-21\", | 428 | Fall-back Plans and Reproducibility\", \"serial\": \"2-21\", | ||
429 | \"question\": | 429 | \"question\": | ||
430 | 7f\\u7528(\\u7dda\\u4e0a)\\u6301\\u7e8c\\u7684\\u5b78\\u7fd2\\uff1f\", | 430 | 7f\\u7528(\\u7dda\\u4e0a)\\u6301\\u7e8c\\u7684\\u5b78\\u7fd2\\uff1f\", | ||
431 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 431 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
432 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | 432 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | ||
433 | Skills\", \"serial\": \"6-7-1\", \"question\": | 433 | Skills\", \"serial\": \"6-7-1\", \"question\": | ||
434 | 63d0\\u4f9b\\u57f9\\u8a13\\u6a5f\\u6703\\u8207\\u6750\\u6599\\uff1f\", | 434 | 63d0\\u4f9b\\u57f9\\u8a13\\u6a5f\\u6703\\u8207\\u6750\\u6599\\uff1f\", | ||
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436 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 436 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
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444 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 444 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
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452 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 452 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
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459 | \"answer\": | 459 | \"answer\": | ||
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461 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 461 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
462 | Bias\", \"serial\": \"5-4-1\", \"question\": | 462 | Bias\", \"serial\": \"5-4-1\", \"question\": | ||
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466 | Fall-back Plans and Reproducibility\", \"serial\": \"2-21-1\", | 466 | Fall-back Plans and Reproducibility\", \"serial\": \"2-21-1\", | ||
467 | \"question\": | 467 | \"question\": | ||
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470 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 470 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
471 | \"serial\": \"2-10\", \"question\": | 471 | \"serial\": \"2-10\", \"question\": | ||
472 | df2\\u900f\\u904e\\u4e00\\u500b\\u5099\\u4efd\\u7cfb\\u7d71(duplicated | 472 | df2\\u900f\\u904e\\u4e00\\u500b\\u5099\\u4efd\\u7cfb\\u7d71(duplicated | ||
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475 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 475 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
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479 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 479 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
480 | \"serial\": \"7-6-3\", \"question\": | 480 | \"serial\": \"7-6-3\", \"question\": | ||
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483 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | 483 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | ||
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487 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 487 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
488 | Bias\", \"serial\": \"5-4-2\", \"question\": | 488 | Bias\", \"serial\": \"5-4-2\", \"question\": | ||
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491 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 491 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
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495 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 495 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
496 | \"serial\": \"7-7\", \"question\": | 496 | \"serial\": \"7-7\", \"question\": | ||
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499 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 499 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
500 | \"serial\": \"2-11\", \"question\": | 500 | \"serial\": \"2-11\", \"question\": | ||
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503 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 503 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
504 | \"serial\": \"7-7-1\", \"question\": | 504 | \"serial\": \"7-7-1\", \"question\": | ||
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507 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 507 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
508 | Autonomy\", \"serial\": \"1-6\", \"question\": | 508 | Autonomy\", \"serial\": \"1-6\", \"question\": | ||
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511 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 511 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
512 | Bias\", \"serial\": \"5-5\", \"question\": | 512 | Bias\", \"serial\": \"5-5\", \"question\": | ||
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515 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 515 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
516 | Autonomy\", \"serial\": \"1-6-1\", \"question\": | 516 | Autonomy\", \"serial\": \"1-6-1\", \"question\": | ||
517 | bd4\\u4f8b\\u7684\\u4f9d\\u8cf4\\uff1a\\u904e\\u5ea6\\u4f9d\\u8cf4)\", | 517 | bd4\\u4f8b\\u7684\\u4f9d\\u8cf4\\uff1a\\u904e\\u5ea6\\u4f9d\\u8cf4)\", | ||
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519 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 519 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
520 | Bias\", \"serial\": \"5-5-1\", \"question\": | 520 | Bias\", \"serial\": \"5-5-1\", \"question\": | ||
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523 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 523 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
524 | \"serial\": \"7-8\", \"question\": | 524 | \"serial\": \"7-8\", \"question\": | ||
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527 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 527 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
528 | Bias\", \"serial\": \"5-5-2\", \"question\": | 528 | Bias\", \"serial\": \"5-5-2\", \"question\": | ||
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531 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 531 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
532 | Autonomy\", \"serial\": \"1-6-2\", \"question\": | 532 | Autonomy\", \"serial\": \"1-6-2\", \"question\": | ||
533 | 6210\\u766e\\u98a8\\u96aa\\uff0c\\u964d\\u5230\\u6700\\u4f4e\\uff1f\", | 533 | 6210\\u766e\\u98a8\\u96aa\\uff0c\\u964d\\u5230\\u6700\\u4f4e\\uff1f\", | ||
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535 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 535 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
536 | Bias\", \"serial\": \"5-5-3\", \"question\": | 536 | Bias\", \"serial\": \"5-5-3\", \"question\": | ||
537 | 8a66\\u6240\\u9069\\u7528\\u7684\\u516c\\u5e73\\u5b9a\\u7fa9\\uff1f\", | 537 | 8a66\\u6240\\u9069\\u7528\\u7684\\u516c\\u5e73\\u5b9a\\u7fa9\\uff1f\", | ||
538 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 538 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
539 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 539 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
540 | Autonomy\", \"serial\": \"1-6-3\", \"question\": | 540 | Autonomy\", \"serial\": \"1-6-3\", \"question\": | ||
541 | 4e\\u64cd\\u63a7(\\u4f7f\\u7528\\u8005)\\u7684\\u98a8\\u96aa\\uff1f\", | 541 | 4e\\u64cd\\u63a7(\\u4f7f\\u7528\\u8005)\\u7684\\u98a8\\u96aa\\uff1f\", | ||
542 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 542 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
543 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 543 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
544 | Bias\", \"serial\": \"5-5-4\", \"question\": | 544 | Bias\", \"serial\": \"5-5-4\", \"question\": | ||
545 | ba\\u4fddAI\\u7cfb\\u7d71\\u516c\\u5e73\\u7684\\u6a5f\\u5236\\uff1f\", | 545 | ba\\u4fddAI\\u7cfb\\u7d71\\u516c\\u5e73\\u7684\\u6a5f\\u5236\\uff1f\", | ||
546 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 546 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
547 | \"pkg_answer\": \"\", \"note\": \"\"}]", | 547 | \"pkg_answer\": \"\", \"note\": \"\"}]", | ||
548 | "annotationinfos1": "[]", | 548 | "annotationinfos1": "[]", | ||
549 | "annotationinfos2": "[]", | 549 | "annotationinfos2": "[]", | ||
550 | "author": "\u66fe\u4fe1\u9d3b", | 550 | "author": "\u66fe\u4fe1\u9d3b", | ||
551 | "author_email": "d108062001@mail.nchu.edu.tw", | 551 | "author_email": "d108062001@mail.nchu.edu.tw", | ||
552 | "caseinfos": "[]", | 552 | "caseinfos": "[]", | ||
553 | "coauthors": "[]", | 553 | "coauthors": "[]", | ||
554 | "creator_user_id": "7e2a89ef-2875-481a-9838-772a8c7c69c2", | 554 | "creator_user_id": "7e2a89ef-2875-481a-9838-772a8c7c69c2", | ||
555 | "deidinfos": "[]", | 555 | "deidinfos": "[]", | ||
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557 | \"eval\": | 557 | \"eval\": | ||
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894 | \"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": | 894 | \"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": | ||
895 | e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\"}, | 895 | e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\"}, | ||
896 | {\"cat\": \"Interoperable\", \"serial\": \"RDA-I3-04M\", \"eval\": | 896 | {\"cat\": \"Interoperable\", \"serial\": \"RDA-I3-04M\", \"eval\": | ||
897 | 5c0d\\u5176\\u4ed6\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\", | 897 | 5c0d\\u5176\\u4ed6\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\", | ||
898 | \"eval_desc\": | 898 | \"eval_desc\": | ||
899 | 5c0d\\u5176\\u4ed6\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\", | 899 | 5c0d\\u5176\\u4ed6\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\", | ||
900 | \"eval_prompt\": \"\\u4f8b\\u5982: | 900 | \"eval_prompt\": \"\\u4f8b\\u5982: | ||
901 | 7528\\u548c\\u6b64\\u8cc7\\u6599\\u96c6\\u7684\\u95dc\\u4fc2\\u3002\", | 901 | 7528\\u548c\\u6b64\\u8cc7\\u6599\\u96c6\\u7684\\u95dc\\u4fc2\\u3002\", | ||
902 | \"answer\": \"\\u4e0d\\u9069\\u7528\", \"note\": | 902 | \"answer\": \"\\u4e0d\\u9069\\u7528\", \"note\": | ||
903 | \"\\u672a\\u63a1\\u7528\"}]", | 903 | \"\\u672a\\u63a1\\u7528\"}]", | ||
904 | "groups": [], | 904 | "groups": [], | ||
905 | "id": "72bc3870-42fa-40ab-b647-e7c9c44ffdc4", | 905 | "id": "72bc3870-42fa-40ab-b647-e7c9c44ffdc4", | ||
906 | "isopen": false, | 906 | "isopen": false, | ||
907 | "license_id": "", | 907 | "license_id": "", | ||
908 | "license_title": "", | 908 | "license_title": "", | ||
909 | "maintainer": "\u66fe\u4fe1\u9d3b", | 909 | "maintainer": "\u66fe\u4fe1\u9d3b", | ||
910 | "maintainer_email": "d108062001@mail.nchu.edu.tw", | 910 | "maintainer_email": "d108062001@mail.nchu.edu.tw", | ||
911 | "metadata_created": "2024-03-18T16:26:34.695788", | 911 | "metadata_created": "2024-03-18T16:26:34.695788", | ||
n | 912 | "metadata_modified": "2024-03-22T09:51:21.147851", | n | 912 | "metadata_modified": "2024-03-22T09:52:18.029265", |
913 | "name": "smarter_07_5d4088_0_rice_20240318_objc_detect", | 913 | "name": "smarter_07_5d4088_0_rice_20240318_objc_detect", | ||
914 | "nchu_checkbox_dataset_annotation_method_2": "1", | 914 | "nchu_checkbox_dataset_annotation_method_2": "1", | ||
915 | "nchu_checkbox_dataset_remark_method_2": "1", | 915 | "nchu_checkbox_dataset_remark_method_2": "1", | ||
916 | "nchu_checkbox_dataset_remark_method_3": "1", | 916 | "nchu_checkbox_dataset_remark_method_3": "1", | ||
917 | "nchu_ddl_dataset_project": [ | 917 | "nchu_ddl_dataset_project": [ | ||
918 | "\u667a\u6167\u8fb2\u696d" | 918 | "\u667a\u6167\u8fb2\u696d" | ||
919 | ], | 919 | ], | ||
920 | "nchu_ddl_dataset_status": [ | 920 | "nchu_ddl_dataset_status": [ | ||
921 | "\u5df2\u5be9\u6838" | 921 | "\u5df2\u5be9\u6838" | ||
922 | ], | 922 | ], | ||
923 | "nchu_ddl_dataset_status_ori": "['\u5f85\u5be9\u6838']", | 923 | "nchu_ddl_dataset_status_ori": "['\u5f85\u5be9\u6838']", | ||
924 | "nchu_ddl_dataset_type": [ | 924 | "nchu_ddl_dataset_type": [ | ||
925 | "\u9700\u540c\u610f\u6388\u6b0a_\u516c\u958b" | 925 | "\u9700\u540c\u610f\u6388\u6b0a_\u516c\u958b" | ||
926 | ], | 926 | ], | ||
927 | "nchu_ddl_dataset_update_frequency": "\u5b9a\u671f", | 927 | "nchu_ddl_dataset_update_frequency": "\u5b9a\u671f", | ||
928 | "nchu_radio_dataset_annotation_progress": "1", | 928 | "nchu_radio_dataset_annotation_progress": "1", | ||
929 | "nchu_radio_dataset_connect_otherdb": "2", | 929 | "nchu_radio_dataset_connect_otherdb": "2", | ||
930 | "nchu_radio_dataset_deid_method": "1", | 930 | "nchu_radio_dataset_deid_method": "1", | ||
931 | "nchu_radio_dataset_is_aimodelset": "0", | 931 | "nchu_radio_dataset_is_aimodelset": "0", | ||
932 | "nchu_texarea_dataset_abstract": "The UAV obtained image dataset for | 932 | "nchu_texarea_dataset_abstract": "The UAV obtained image dataset for | ||
933 | rice seedling detection.", | 933 | rice seedling detection.", | ||
934 | "nchu_texarea_dataset_other": | 934 | "nchu_texarea_dataset_other": | ||
935 | c6\u3001\u570b\u5bb6\u5b89\u5168\u53ca\u6838\u5fc3\u79d1\u6280\u3002", | 935 | c6\u3001\u570b\u5bb6\u5b89\u5168\u53ca\u6838\u5fc3\u79d1\u6280\u3002", | ||
936 | "nchu_texarea_dataset_other_note1": "", | 936 | "nchu_texarea_dataset_other_note1": "", | ||
937 | "nchu_texarea_dataset_purpose": "Train, evaluate and test the model | 937 | "nchu_texarea_dataset_purpose": "Train, evaluate and test the model | ||
938 | for the rice seedling detection applications.", | 938 | for the rice seedling detection applications.", | ||
939 | "nchu_texarea_dataset_usage": "1. Rice seedling image classification | 939 | "nchu_texarea_dataset_usage": "1. Rice seedling image classification | ||
940 | (single seedling in one image) model train, eval, test. \r\n2. Rice | 940 | (single seedling in one image) model train, eval, test. \r\n2. Rice | ||
941 | seedling object detection (multiple seedlings in one image) model | 941 | seedling object detection (multiple seedlings in one image) model | ||
942 | train, eval, test. The annotation follows PASCAL VOS format.", | 942 | train, eval, test. The annotation follows PASCAL VOS format.", | ||
943 | "nchu_texarea_dataset_value": "Manual annotations with domain | 943 | "nchu_texarea_dataset_value": "Manual annotations with domain | ||
944 | expertises' knowledge, patience and love. lol", | 944 | expertises' knowledge, patience and love. lol", | ||
945 | "nchu_text_dataset_annotation_format": "PASCAL VOC", | 945 | "nchu_text_dataset_annotation_format": "PASCAL VOC", | ||
946 | "nchu_text_dataset_annotation_method_2_note": "rectangle", | 946 | "nchu_text_dataset_annotation_method_2_note": "rectangle", | ||
947 | "nchu_text_dataset_annotation_method_3_note": "", | 947 | "nchu_text_dataset_annotation_method_3_note": "", | ||
948 | "nchu_text_dataset_annotation_progress_1_note": "600", | 948 | "nchu_text_dataset_annotation_progress_1_note": "600", | ||
949 | "nchu_text_dataset_annotation_progress_2_note": "", | 949 | "nchu_text_dataset_annotation_progress_2_note": "", | ||
950 | "nchu_text_dataset_annotation_progress_3_note": "", | 950 | "nchu_text_dataset_annotation_progress_3_note": "", | ||
951 | "nchu_text_dataset_authorize_file": "", | 951 | "nchu_text_dataset_authorize_file": "", | ||
952 | "nchu_text_dataset_capacity": "6 GB", | 952 | "nchu_text_dataset_capacity": "6 GB", | ||
953 | "nchu_text_dataset_casenum": "3", | 953 | "nchu_text_dataset_casenum": "3", | ||
954 | "nchu_text_dataset_contact": "Cloud Tseng \u66fe\u4fe1\u9d3b", | 954 | "nchu_text_dataset_contact": "Cloud Tseng \u66fe\u4fe1\u9d3b", | ||
955 | "nchu_text_dataset_deid_method_2_note": "", | 955 | "nchu_text_dataset_deid_method_2_note": "", | ||
956 | "nchu_text_dataset_format": "jpeg for image, xml for PASCAL VOC | 956 | "nchu_text_dataset_format": "jpeg for image, xml for PASCAL VOC | ||
957 | format annotation, compressed with tar-gzip (.tgz) format", | 957 | format annotation, compressed with tar-gzip (.tgz) format", | ||
958 | "nchu_text_dataset_itemnum": "200", | 958 | "nchu_text_dataset_itemnum": "200", | ||
959 | "nchu_text_dataset_legitimate_basis_1_note": "", | 959 | "nchu_text_dataset_legitimate_basis_1_note": "", | ||
960 | "nchu_text_dataset_legitimate_basis_2_note": "", | 960 | "nchu_text_dataset_legitimate_basis_2_note": "", | ||
961 | "nchu_text_dataset_legitimate_basis_3_note": "", | 961 | "nchu_text_dataset_legitimate_basis_3_note": "", | ||
962 | "nchu_text_dataset_name_4code": "rice", | 962 | "nchu_text_dataset_name_4code": "rice", | ||
963 | "nchu_text_dataset_name_4serial": "objc", | 963 | "nchu_text_dataset_name_4serial": "objc", | ||
964 | "nchu_text_dataset_name_6serial": "detect", | 964 | "nchu_text_dataset_name_6serial": "detect", | ||
965 | "nchu_text_dataset_name_id": "5d4088", | 965 | "nchu_text_dataset_name_id": "5d4088", | ||
966 | "nchu_text_dataset_name_org_eng_shortname": "07", | 966 | "nchu_text_dataset_name_org_eng_shortname": "07", | ||
967 | "nchu_text_dataset_name_project": "smarter", | 967 | "nchu_text_dataset_name_project": "smarter", | ||
968 | "nchu_text_dataset_name_yyyymmdd": "20240318", | 968 | "nchu_text_dataset_name_yyyymmdd": "20240318", | ||
969 | "nchu_text_dataset_other_note": "", | 969 | "nchu_text_dataset_other_note": "", | ||
970 | "nchu_text_dataset_period": "2018-08-07 to 2020-08-25", | 970 | "nchu_text_dataset_period": "2018-08-07 to 2020-08-25", | ||
971 | "nchu_text_dataset_remark_method_4_note": "", | 971 | "nchu_text_dataset_remark_method_4_note": "", | ||
972 | "nchu_text_dataset_remark_tool": "labelimg", | 972 | "nchu_text_dataset_remark_tool": "labelimg", | ||
973 | "nchu_text_dataset_serial": "20240318234622", | 973 | "nchu_text_dataset_serial": "20240318234622", | ||
974 | "nchu_text_dataset_source": "self", | 974 | "nchu_text_dataset_source": "self", | ||
975 | "nchu_text_dataset_tag": "Rice seedling are annotated with rectangle | 975 | "nchu_text_dataset_tag": "Rice seedling are annotated with rectangle | ||
976 | bounding boxes.", | 976 | bounding boxes.", | ||
977 | "nchu_text_dataset_type": "RGB images with PASCAL VOC format | 977 | "nchu_text_dataset_type": "RGB images with PASCAL VOC format | ||
978 | annotation ", | 978 | annotation ", | ||
979 | "nchu_textarea_dataset_annotation_mapping": "", | 979 | "nchu_textarea_dataset_annotation_mapping": "", | ||
980 | "nchu_textarea_dataset_approve_note": "ok", | 980 | "nchu_textarea_dataset_approve_note": "ok", | ||
981 | "notes": "Datasets for rice seedling detection model training, | 981 | "notes": "Datasets for rice seedling detection model training, | ||
982 | validating, testing. \r\n\r\n## Related Publications \r\n 1. **[A | 982 | validating, testing. \r\n\r\n## Related Publications \r\n 1. **[A | ||
983 | UAV Open Dataset of Rice Paddies for Deep Learning | 983 | UAV Open Dataset of Rice Paddies for Deep Learning | ||
984 | Practice](https://doi.org/10.3390/rs13071358)** \r\nThe data | 984 | Practice](https://doi.org/10.3390/rs13071358)** \r\nThe data | ||
985 | descriptor was published on Remote Sensing, MDPI. (open access) | 985 | descriptor was published on Remote Sensing, MDPI. (open access) | ||
986 | \r\n\r\n 2. **[Rice Seedling Detection in UAV Images Using Transfer | 986 | \r\n\r\n 2. **[Rice Seedling Detection in UAV Images Using Transfer | ||
987 | Learning and Machine Learning](https://doi.org/10.3390/rs14122837)** | 987 | Learning and Machine Learning](https://doi.org/10.3390/rs14122837)** | ||
988 | \r\nAn application of rice seedling detection using transfer learning | 988 | \r\nAn application of rice seedling detection using transfer learning | ||
989 | was published on Remote Sensing, MDPI. (open access) \r\n\r\n### MDPI | 989 | was published on Remote Sensing, MDPI. (open access) \r\n\r\n### MDPI | ||
990 | and ACS Style \r\n 1. Yang, M. D.; Tseng, H. H.; Hsu, Y. C.; Yang, | 990 | and ACS Style \r\n 1. Yang, M. D.; Tseng, H. H.; Hsu, Y. C.; Yang, | ||
991 | C. Y.; Lai, M. H.; Wu, D. H. A UAV Open Dataset of Rice Paddies for | 991 | C. Y.; Lai, M. H.; Wu, D. H. A UAV Open Dataset of Rice Paddies for | ||
992 | Deep Learning Practice. *Remote Sens.* **2021**, 13, 1358. | 992 | Deep Learning Practice. *Remote Sens.* **2021**, 13, 1358. | ||
993 | doi:10.3390/rs13071358 \r\n 2. Tseng, H. H.; Yang, M. D.; | 993 | doi:10.3390/rs13071358 \r\n 2. Tseng, H. H.; Yang, M. D.; | ||
994 | Saminathan, R.; Hsu, Y. C.; Yang, C. Y.; Wu, D. H. Rice Seedling | 994 | Saminathan, R.; Hsu, Y. C.; Yang, C. Y.; Wu, D. H. Rice Seedling | ||
995 | Detection in UAV Images Using Transfer Learning and Machine Learning. | 995 | Detection in UAV Images Using Transfer Learning and Machine Learning. | ||
996 | *Remote Sens.* **2022**, 14, 2837. doi:10.3390/rs14122837 \r\n\r\n--- | 996 | *Remote Sens.* **2022**, 14, 2837. doi:10.3390/rs14122837 \r\n\r\n--- | ||
997 | \r\n\r\n## Contents\r\n 1. [Data Download | 997 | \r\n\r\n## Contents\r\n 1. [Data Download | ||
998 | Link](#1-data-download-link)\r\n 2. [Dataset of Rice Seedling | 998 | Link](#1-data-download-link)\r\n 2. [Dataset of Rice Seedling | ||
999 | Classification](#2-dataset-of-rice-seedling-classification)\r\n 3. | 999 | Classification](#2-dataset-of-rice-seedling-classification)\r\n 3. | ||
1000 | [Dataset of Rice Seedling | 1000 | [Dataset of Rice Seedling | ||
1001 | Detection](#3-dataset-of-rice-seedling-detection)\r\n\r\n## 1. Basic | 1001 | Detection](#3-dataset-of-rice-seedling-detection)\r\n\r\n## 1. Basic | ||
1002 | Data Information\r\n### 2018 Orthomosaic | 1002 | Data Information\r\n### 2018 Orthomosaic | ||
1003 | load/RiceSeedlingDataset/README_img/Orthomosaic_Train-Val_Dataset.png) | 1003 | load/RiceSeedlingDataset/README_img/Orthomosaic_Train-Val_Dataset.png) | ||
1004 | \r\nThese three links are the orthomosaic image of paddy No.80, TARI, | 1004 | \r\nThese three links are the orthomosaic image of paddy No.80, TARI, | ||
1005 | which were in TWD97 / TM2 zone 121 (EPSG:3826) projection. The images | 1005 | which were in TWD97 / TM2 zone 121 (EPSG:3826) projection. The images | ||
1006 | were acquired in three consecutive growing stages in 2018. | 1006 | were acquired in three consecutive growing stages in 2018. | ||
1007 | \r\n\r\n### Expansion Orthomosaic image | 1007 | \r\n\r\n### Expansion Orthomosaic image | ||
1008 | 7c69c2/upload/RiceSeedlingDataset/README_img/Orthomosaic_Extended.png) | 1008 | 7c69c2/upload/RiceSeedlingDataset/README_img/Orthomosaic_Extended.png) | ||
1009 | \r\nThese 10 links are the orthomosaic image of paddy No.78, TARI, | 1009 | \r\nThese 10 links are the orthomosaic image of paddy No.78, TARI, | ||
1010 | which were in TWD97 / TM2 zone 121 (EPSG:3826) projection. The images | 1010 | which were in TWD97 / TM2 zone 121 (EPSG:3826) projection. The images | ||
1011 | were acquired in 2019 and 2020. \r\n\r\n--- \r\n \r\n### Dataset of | 1011 | were acquired in 2019 and 2020. \r\n\r\n--- \r\n \r\n### Dataset of | ||
1012 | Rice Seedling Classification (Train-Val) | 1012 | Rice Seedling Classification (Train-Val) | ||
1013 | \r\n**[RiceSeedlingClassification.tgz (uncompressed size | 1013 | \r\n**[RiceSeedlingClassification.tgz (uncompressed size | ||
1014 | _20240318_objc_detect/resource/236c53c2-43e3-4f6d-9a17-33ecf8b6dc37)** | 1014 | _20240318_objc_detect/resource/236c53c2-43e3-4f6d-9a17-33ecf8b6dc37)** | ||
1015 | \r\nThis file includes two folders: riceseedling and arableland. | 1015 | \r\nThis file includes two folders: riceseedling and arableland. | ||
1016 | Train-val and test datasets are all included.\r\n---\r\n### Dataset of | 1016 | Train-val and test datasets are all included.\r\n---\r\n### Dataset of | ||
1017 | Rice Seedling Detection (Train-Val)\r\n**[RiceSeedlingDetection.tgz | 1017 | Rice Seedling Detection (Train-Val)\r\n**[RiceSeedlingDetection.tgz | ||
1018 | (uncompressed size | 1018 | (uncompressed size | ||
1019 | _20240318_objc_detect/resource/e3f00e59-2bcc-4380-92eb-a6f147eeb753)** | 1019 | _20240318_objc_detect/resource/e3f00e59-2bcc-4380-92eb-a6f147eeb753)** | ||
1020 | \r\nThis is a PASCAL VOC format object-detection dataset, which | 1020 | \r\nThis is a PASCAL VOC format object-detection dataset, which | ||
1021 | includes two folders: JPEGImaegs and Annotations.\r\n---\r\n### | 1021 | includes two folders: JPEGImaegs and Annotations.\r\n---\r\n### | ||
1022 | Dataset of Detection Demonstration (Test)\r\n**[RiceSeedlingDemo.tgz | 1022 | Dataset of Detection Demonstration (Test)\r\n**[RiceSeedlingDemo.tgz | ||
1023 | (uncompressed size | 1023 | (uncompressed size | ||
1024 | _20240318_objc_detect/resource/3d5616d6-869d-437a-abdd-c070db7ed029)** | 1024 | _20240318_objc_detect/resource/3d5616d6-869d-437a-abdd-c070db7ed029)** | ||
1025 | \r\nThis file contains 8 detection demo images and the corresponging | 1025 | \r\nThis file contains 8 detection demo images and the corresponging | ||
1026 | PASCAL VOC xml format annotations. \r\n---\r\n### An overview of the | 1026 | PASCAL VOC xml format annotations. \r\n---\r\n### An overview of the | ||
1027 | region of different datasets \r\n![An overview of image | 1027 | region of different datasets \r\n![An overview of image | ||
1028 | 69c2/upload/RiceSeedlingDataset/README_img/Datasets_Area_Overview.png) | 1028 | 69c2/upload/RiceSeedlingDataset/README_img/Datasets_Area_Overview.png) | ||
1029 | \r\nAn overview of the field no. 80 (cyan bounding area) in TARI, | 1029 | \r\nAn overview of the field no. 80 (cyan bounding area) in TARI, | ||
1030 | Taichung. Image acquired on August 7, 2018. The green bounding area | 1030 | Taichung. Image acquired on August 7, 2018. The green bounding area | ||
1031 | represents the area for training-validation dataset, and the red | 1031 | represents the area for training-validation dataset, and the red | ||
1032 | bounding area represents the subsets for object detection | 1032 | bounding area represents the subsets for object detection | ||
1033 | demonstration dataset. \r\n\r\n## 2. Dataset of Rice Seedling | 1033 | demonstration dataset. \r\n\r\n## 2. Dataset of Rice Seedling | ||
1034 | Classification\r\n This dataset contains two classes: \r\n\r\n* | 1034 | Classification\r\n This dataset contains two classes: \r\n\r\n* | ||
1035 | `rice seedling` \r\n* `arable land` \r\n\r\n### An overview of | 1035 | `rice seedling` \r\n* `arable land` \r\n\r\n### An overview of | ||
1036 | image dataset \r\n![An overview of image | 1036 | image dataset \r\n![An overview of image | ||
1037 | a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/dataset.png) | 1037 | a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/dataset.png) | ||
1038 | \r\n\r\n### The number of images used for training, validation, and | 1038 | \r\n\r\n### The number of images used for training, validation, and | ||
1039 | testing in the rice seedling dataset \r\n![Samples of classification | 1039 | testing in the rice seedling dataset \r\n![Samples of classification | ||
1040 | c7c69c2/upload/RiceSeedlingDataset/README_img/Samples_of_datasets.png) | 1040 | c7c69c2/upload/RiceSeedlingDataset/README_img/Samples_of_datasets.png) | ||
1041 | \r\n\r\n## 3. Dataset of Rice Seedling Detection\r\nThis dataset is | 1041 | \r\n\r\n## 3. Dataset of Rice Seedling Detection\r\nThis dataset is | ||
1042 | used for object-detection model training and validation. \r\n\r\n* | 1042 | used for object-detection model training and validation. \r\n\r\n* | ||
1043 | PASCAL VOC xml format annotation \r\n* 3 consecutive mission: Aug | 1043 | PASCAL VOC xml format annotation \r\n* 3 consecutive mission: Aug | ||
1044 | 7<sup>th</sup>, Aug 14<sup>th</sup> and Aug 23<sup>rd</sup> \r\n* 8 | 1044 | 7<sup>th</sup>, Aug 14<sup>th</sup> and Aug 23<sup>rd</sup> \r\n* 8 | ||
1045 | subsets \r\n* 25 samples/subset \r\n* 600 samples total | 1045 | subsets \r\n* 25 samples/subset \r\n* 600 samples total | ||
1046 | \r\n\r\n### Examples of three growth stages of the rice seedling | 1046 | \r\n\r\n### Examples of three growth stages of the rice seedling | ||
1047 | detection dataset \r\n![Examples of detection | 1047 | detection dataset \r\n![Examples of detection | ||
1048 | a8c7c69c2/upload/RiceSeedlingDataset/README_img/Detection_Dataset.png) | 1048 | a8c7c69c2/upload/RiceSeedlingDataset/README_img/Detection_Dataset.png) | ||
1049 | \r\n\r\n## 4. Detection Demo Dataset \r\nThis dataset is used for | 1049 | \r\n\r\n## 4. Detection Demo Dataset \r\nThis dataset is used for | ||
t | 1050 | patch-based object-detection scenario. \r\n* 8 subsets \r\n* 8m | t | 1050 | patch-based object-detection scenario. \r\n\r\n* 8 subsets \r\n* |
1051 | x 8m region \r\n* 1527 x 1527 pixels \r\n* PASCAL VOC xml format | 1051 | 8m x 8m region \r\n* 1527 x 1527 pixels \r\n* PASCAL VOC xml | ||
1052 | annotation \r\n\r\n### An overview of 8 detection demo images | 1052 | format annotation \r\n\r\n### An overview of 8 detection demo images | ||
1053 | \r\n![An overview of 8 detection demo | 1053 | \r\n![An overview of 8 detection demo | ||
1054 | -9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/DemoClip.png) | 1054 | -9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/DemoClip.png) | ||
1055 | \r\n\r\n", | 1055 | \r\n\r\n", | ||
1056 | "num_resources": 17, | 1056 | "num_resources": 17, | ||
1057 | "num_tags": 9, | 1057 | "num_tags": 9, | ||
1058 | "organization": { | 1058 | "organization": { | ||
1059 | "approval_status": "approved", | 1059 | "approval_status": "approved", | ||
1060 | "created": "2022-05-19T11:34:42.143017", | 1060 | "created": "2022-05-19T11:34:42.143017", | ||
1061 | "description": "## \u8a08\u756b\u4ecb\u7d39 | 1061 | "description": "## \u8a08\u756b\u4ecb\u7d39 | ||
1062 | 08\u756b\u8a2d\u8a08\u9006\u5883\u5834\u57df\u7814\u767c\u9059\u6e2cAI | 1062 | 08\u756b\u8a2d\u8a08\u9006\u5883\u5834\u57df\u7814\u767c\u9059\u6e2cAI | ||
1063 | 5\u81f3\u751f\u6b96\u751f\u9577\u968e\u6bb5\uff0c\u7d50\u5408UAV\u8207 | 1063 | 5\u81f3\u751f\u6b96\u751f\u9577\u968e\u6bb5\uff0c\u7d50\u5408UAV\u8207 | ||
1064 | IoT \u8a2d\u5099\u5c0e\u5165\u5f71\u50cf\u5206\u6790\u8207 AI | 1064 | IoT \u8a2d\u5099\u5c0e\u5165\u5f71\u50cf\u5206\u6790\u8207 AI | ||
1065 | 8853\u843d\u5730\u8207\u7522\u80fd\u63d0\u5347\u4e4b\u6548\u76ca\u3002 | 1065 | 8853\u843d\u5730\u8207\u7522\u80fd\u63d0\u5347\u4e4b\u6548\u76ca\u3002 | ||
1066 | \r\n\r\n### \u6548\u76ca \r\n 1. | 1066 | \r\n\r\n### \u6548\u76ca \r\n 1. | ||
1067 | 70ba\u91cd\u8981\u8fb2\u696d\u7814\u7a76\u57fa\u790e\u5efa\u8a2d\u3002 | 1067 | 70ba\u91cd\u8981\u8fb2\u696d\u7814\u7a76\u57fa\u790e\u5efa\u8a2d\u3002 | ||
1068 | \r\n 2. | 1068 | \r\n 2. | ||
1069 | 9810\u6e2c\u8207\u9006\u5883\u98a8\u96aa\u9810\u8b66\u6a21\u5f0f\u3002 | 1069 | 9810\u6e2c\u8207\u9006\u5883\u98a8\u96aa\u9810\u8b66\u6a21\u5f0f\u3002 | ||
1070 | \r\n 3. | 1070 | \r\n 3. | ||
1071 | 4e4b\u9059\u6e2c\u8f14\u52a9\u8cc7\u6e90\u7ba1\u7406\u6a5f\u5236\u3002 | 1071 | 4e4b\u9059\u6e2c\u8f14\u52a9\u8cc7\u6e90\u7ba1\u7406\u6a5f\u5236\u3002 | ||
1072 | ", | 1072 | ", | ||
1073 | "id": "896d404d-e1d3-4ad9-900d-750d3747c119", | 1073 | "id": "896d404d-e1d3-4ad9-900d-750d3747c119", | ||
1074 | "image_url": "", | 1074 | "image_url": "", | ||
1075 | "is_organization": true, | 1075 | "is_organization": true, | ||
1076 | "name": "hort", | 1076 | "name": "hort", | ||
1077 | "state": "active", | 1077 | "state": "active", | ||
1078 | "title": "Crop digital twin for growth adversity index and | 1078 | "title": "Crop digital twin for growth adversity index and | ||
1079 | disaster damage assessment | 1079 | disaster damage assessment | ||
1080 | 9\u751f\u9577\u9006\u5883\u6307\u6a19\u8207\u707d\u640d\u76e3\u6e2c)", | 1080 | 9\u751f\u9577\u9006\u5883\u6307\u6a19\u8207\u707d\u640d\u76e3\u6e2c)", | ||
1081 | "type": "organization" | 1081 | "type": "organization" | ||
1082 | }, | 1082 | }, | ||
1083 | "owner_org": "896d404d-e1d3-4ad9-900d-750d3747c119", | 1083 | "owner_org": "896d404d-e1d3-4ad9-900d-750d3747c119", | ||
1084 | "private": false, | 1084 | "private": false, | ||
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1086 | "relationships_as_subject": [], | 1086 | "relationships_as_subject": [], | ||
1087 | "resources": [ | 1087 | "resources": [ | ||
1088 | { | 1088 | { | ||
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1093 | arableland. Train-val and test datasets are all included.", | 1093 | arableland. Train-val and test datasets are all included.", | ||
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1119 | VOC format and file structures.", | 1119 | VOC format and file structures.", | ||
1120 | "format": "tgz", | 1120 | "format": "tgz", | ||
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1143 | "description": "This tgz file contains 8 detection demo images | 1143 | "description": "This tgz file contains 8 detection demo images | ||
1144 | and the corresponging PASCAL VOC xml format annotations.", | 1144 | and the corresponging PASCAL VOC xml format annotations.", | ||
1145 | "format": "tgz", | 1145 | "format": "tgz", | ||
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1169 | TWD97 / TM2 zone 121 (EPSG:3826) projection) The images were acquired | 1169 | TWD97 / TM2 zone 121 (EPSG:3826) projection) The images were acquired | ||
1170 | in three consecutive growing stages in 2018.", | 1170 | in three consecutive growing stages in 2018.", | ||
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1195 | in three consecutive growing stages in 2018.", | 1195 | in three consecutive growing stages in 2018.", | ||
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1219 | TWD97 / TM2 zone 121 (EPSG:3826) projection) The images were acquired | 1219 | TWD97 / TM2 zone 121 (EPSG:3826) projection) The images were acquired | ||
1220 | in three consecutive growing stages in 2018.", | 1220 | in three consecutive growing stages in 2018.", | ||
1221 | "format": "TIFF", | 1221 | "format": "TIFF", | ||
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1245 | in 2019 and 2020.", | 1245 | in 2019 and 2020.", | ||
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