id string | image image | annotation string |
|---|---|---|
train_src_train_image_041 | [{"coordinate": [76, 146, 453, 146, 453, 199, 76, 199], "text": "សាលាដែលថ្លៃបំផុតនៅកម្ពុជា"}, {"coordinate": [27, 195, 465, 195, 465, 225, 27, 225], "text": "1. Northbridge International School: $5,000 to $22,000 per year"}, {"coordinate": [24, 235, 497, 235, 497, 259, 24, 259], "text": "2. International School of Phnom Penh: $7,000 to $22,000 per year"}, {"coordinate": [26, 273, 470, 273, 470, 299, 26, 299], "text": "3. iCAN British International School: $5,000 to $13,000 per year"}, {"coordinate": [26, 314, 354, 314, 354, 337, 26, 337], "text": "4. Lycee Descartes: $6,000 to $8,000 per year"}, {"coordinate": [27, 350, 502, 350, 502, 376, 27, 376], "text": "5. Canadian International School of Phnom Penh: $5,000 to $16,000"}, {"coordinate": [27, 389, 440, 389, 440, 416, 27, 416], "text": "6. CIA First International School: $3,800 to $5,420 per year"}, {"coordinate": [24, 429, 420, 429, 420, 454, 24, 454], "text": "7. Logos International School: $3,200 to $6,500 per year"}, {"coordinate": [25, 466, 308, 466, 308, 492, 25, 492], "text": "8. Footprints: $1,800 to $4,000 per year"}, {"coordinate": [27, 505, 353, 505, 353, 531, 27, 531], "text": "9. The Giving Tree: $1,600 to $3,000 per year"}, {"coordinate": [28, 544, 436, 544, 436, 571, 28, 571], "text": "10.Brighton International School: $2,350 to $2,450 per year"}] | |
train_src_train_image_015 | [{"coordinate": [56, 51, 263, 51, 263, 103, 56, 103], "text": "TheWisdomWarrior.com"}, {"coordinate": [93, 530, 1002, 530, 1002, 599, 93, 599], "text": "A successful samurai should put"}, {"coordinate": [117, 603, 973, 603, 973, 675, 117, 675], "text": "his heart in order first thing in"}, {"coordinate": [49, 682, 1047, 682, 1047, 757, 49, 757], "text": "the morning and last thing at night."}, {"coordinate": [432, 751, 662, 751, 662, 791, 432, 791], "text": "THe Hagakure"}] | |
train_src_test_image_097 | [{"coordinate": [160, 58, 758, 58, 758, 79, 160, 79], "text": "Recognition (CVPR), pp. 9357-9366. IEEE Computer Society, Los Alamitos, CA,"}, {"coordinate": [161, 78, 581, 78, 581, 100, 161, 100], "text": "USA (2019). https://doi.org/10.1109/CVPR.2019.00959"}, {"coordinate": [135, 116, 759, 116, 759, 137, 135, 137], "text": "[4] Li, M., Lv, T., Cui, L., Lu, Y., Florêncio, D.A.F., Zhang, C., Li, Z., Wei, F.:"}, {"coordinate": [161, 137, 759, 137, 759, 157, 161, 157], "text": "Trocr: Transformer-based optical character recognition with pre-trained models."}, {"coordinate": [162, 158, 485, 158, 485, 179, 162, 179], "text": "CORR abs/2109.10282 (2021) 2109.10282"}, {"coordinate": [135, 194, 758, 194, 758, 216, 135, 216], "text": "[5] Chowdhery, A., Narang, S., Devlin, J., Bosma, M., Mishra, G., Roberts, A.,"}, {"coordinate": [161, 215, 759, 215, 759, 234, 161, 234], "text": "Barham, P., Chung, H.W., Sutton, C., Gehrmann, S., Schuh, P., Shi, K.,"}, {"coordinate": [161, 235, 759, 235, 759, 255, 161, 255], "text": "Tsvyashchenko, S., Maynez, J., Rao, A., Barnes, P., Tay, Y., Shazeer, N., Prab-"}, {"coordinate": [161, 256, 758, 256, 758, 276, 161, 276], "text": "hakaran, V., Reif, E., Du, N., Hutchinson, B., Pope, R., Bradbury, J., Austin,"}, {"coordinate": [162, 276, 758, 276, 758, 297, 162, 297], "text": "J., Isard, M., Gur-Ari, G., Yin, P., Duke, T., Levskaya, A., Ghemawat, S., Dev,"}, {"coordinate": [161, 297, 758, 297, 758, 316, 161, 316], "text": "S., Michalewski, H., Garcia, X., Misra, V., Robinson, K., Fedus, L., Zhou, D.,"}, {"coordinate": [160, 317, 758, 317, 758, 337, 160, 337], "text": "Ippolito, D., Luan, D., Lim, H., Zoph, B., Spiridonov, A., Sepassi, R., Dohan,"}, {"coordinate": [161, 337, 759, 337, 759, 356, 161, 356], "text": "D., Agrawal, S., Omernick, M., Dai, A.M., Pillai, T.S., Pellat, M., Lewkowycz,"}, {"coordinate": [160, 358, 758, 358, 758, 377, 160, 377], "text": "A., Moreira, E., Child, R., Polozov, O., Lee, K., Zhou, Z., Wang, X., Saeta, B.,"}, {"coordinate": [161, 379, 759, 379, 759, 398, 161, 398], "text": "Diaz, M., Firat, O., Catasta, M., Wei, J., Meier-Hellstern, K., Eck, D., Dean, J.,"}, {"coordinate": [162, 399, 754, 399, 754, 419, 162, 419], "text": "Petrov, S., Fiedel, N.: PaLM: Scaling Language Modeling with Pathways (2022)"}, {"coordinate": [135, 435, 760, 435, 760, 456, 135, 456], "text": "[6] Bashir, M.F., Arshad, H., Javed, A.R., Kryvinska, N., Band, S.S.: Subjective"}, {"coordinate": [161, 456, 759, 456, 759, 476, 161, 476], "text": "answers evaluation using machine learning and natural language processing. IEEE"}, {"coordinate": [160, 477, 755, 477, 755, 498, 160, 498], "text": "Access 9, 158972-158983 (2021) https://doi.org/10.1109/ACCESS.2021.3130902"}, {"coordinate": [135, 514, 761, 514, 761, 535, 135, 535], "text": "[7] Baek, Y., Lee, B., Han, D., Yun, S., Lee, H.: Character region awareness for text"}, {"coordinate": [161, 534, 562, 534, 562, 555, 161, 555], "text": "detection. CoRR abs/1904.01941 (2019) 1904.01941"}, {"coordinate": [135, 572, 760, 572, 760, 592, 135, 592], "text": "[8] Zhou, X., Yao, C., Wen, H., Wang, Y., Zhou, S., He, W., Liang, J.: EAST:"}, {"coordinate": [161, 593, 760, 593, 760, 613, 161, 613], "text": "an efficient and accurate scene text detector. CoRR abs/1704.03155 (2017)"}, {"coordinate": [163, 615, 244, 615, 244, 628, 163, 628], "text": "1704.03155"}] | |
train_src_train_image_274 | [{"coordinate": [57, 20, 715, 20, 715, 37, 57, 37], "text": "Figure 1: Average performance of different models on the November 2024 AMC-10 and AMC-12 tests. This is"}, {"coordinate": [56, 36, 717, 36, 717, 53, 56, 53], "text": "the average score (with maximum score 150) over the four tests on 100 runs with temperature t = 0.5. We chose"}, {"coordinate": [55, 52, 715, 52, 715, 69, 55, 69], "text": "t = 0.5 to follow SIMPLE-EVALS [Ope24b]. Error bars are 20 of the estimate. On competition math, phi-4 scores"}, {"coordinate": [56, 70, 467, 70, 467, 83, 56, 83], "text": "well above its weight-class even compared to non-open-weight models."}, {"coordinate": [57, 112, 479, 112, 479, 131, 57, 131], "text": "1.1 Addressing Overfitting and Data Contamination"}, {"coordinate": [56, 141, 716, 141, 716, 159, 56, 159], "text": "Decontamination: One pitfall of foundation models is overfitting to benchmarks, such as through"}, {"coordinate": [56, 160, 714, 160, 714, 177, 56, 177], "text": "the leakage of benchmark test sets via the web corpus. We improved the data decontamination process"}, {"coordinate": [56, 177, 716, 177, 716, 195, 56, 195], "text": "for phi-4 compared to previous Phi models to ensure no unfair influence on evaluation results. More"}, {"coordinate": [56, 196, 469, 196, 469, 213, 56, 213], "text": "details of the decontamination method are given in Appendix B."}, {"coordinate": [56, 233, 715, 233, 715, 251, 56, 251], "text": "AMC Benchmark: The surest way to guard against overfitting to the test set is to test on fresh data."}, {"coordinate": [56, 251, 716, 251, 716, 270, 56, 270], "text": "We tested our model on the November 2024 AMC-10 and AMC-12 math competitions [Com24], which"}, {"coordinate": [56, 269, 715, 269, 715, 287, 56, 287], "text": "occurred after all our training data was collected, and we only measured our performance after choosing"}, {"coordinate": [56, 287, 716, 287, 716, 305, 56, 305], "text": "all the hyperparameters in training our final model. These contests are the entry points to the Math"}, {"coordinate": [56, 305, 620, 305, 620, 323, 56, 323], "text": "Olympiad track in the United States and over 150,000 students take the tests each year."}, {"coordinate": [78, 324, 715, 324, 715, 342, 78, 342], "text": "In Figure 1 we plot the average score over the four versions of the test, all of which have a maximum"}, {"coordinate": [56, 342, 716, 342, 716, 360, 56, 360], "text": "score of 150. phi-4 outperforms not only similar-size or open-weight models but also much larger frontier"}, {"coordinate": [56, 360, 717, 360, 717, 378, 56, 378], "text": "models. Such strong performance on a fresh test set suggests that phi-4's top-tier performance on the"}, {"coordinate": [56, 378, 714, 378, 714, 397, 56, 397], "text": "MATH benchmark is not due to overfitting or contamination. We provide further details in Appendix C."}, {"coordinate": [56, 417, 715, 417, 715, 434, 56, 434], "text": "Relying on Contamination-Proof Benchmarks: We give significant weight to benchmarks which"}, {"coordinate": [56, 434, 716, 434, 716, 452, 56, 452], "text": "were designed in such a way that the questions are original and do not appear on the web, such as"}, {"coordinate": [57, 452, 716, 452, 716, 470, 57, 470], "text": "GPQA [RHS+23]. While optimizing our model, we relied on an internal benchmark composed primarily"}, {"coordinate": [56, 470, 532, 470, 532, 489, 56, 489], "text": "of original prompts written by the team (see Section 5 for further details)."}, {"coordinate": [56, 509, 715, 509, 715, 527, 56, 527], "text": "Long Chain-of-Thought Models: A style of LLM that scales inference-time compute by generating"}, {"coordinate": [56, 527, 715, 527, 715, 545, 56, 545], "text": "long chains of thought has emerged over the past few months, as pioneered by OpenAI 01 [Ope24a] and"}, {"coordinate": [55, 545, 716, 545, 716, 564, 55, 564], "text": "followed by DeepSeek-R1-Lite-Preview [Dee24] and Qwen/QwQ-32B-Preview [Tea24]. These models"}, {"coordinate": [56, 563, 715, 563, 715, 581, 56, 581], "text": "perform well on reasoning benchmarks, where QwQ, the only such model with open weights, averages"}, {"coordinate": [57, 580, 715, 580, 715, 598, 57, 598], "text": "124.5 points in the AMC-10/12 setting of Figure 1. However, QwQ also uses 4X more tokens on this"}, {"coordinate": [56, 599, 715, 599, 715, 617, 56, 617], "text": "task than phi-4 and has more than twice as many parameters. Thus, the inference cost of QwQ is an"}] | |
train_src_train_image_070 | [{"coordinate": [73, 2, 182, 2, 182, 38, 73, 38], "text": "ពាក្យស្លោកថ្មី"}, {"coordinate": [18, 41, 254, 41, 254, 67, 18, 67], "text": "យុវជនទាំងអស់មិនត្រូវស៊ូស្លាប់ដើម្បីជាតិទ"}, {"coordinate": [79, 71, 173, 71, 173, 104, 79, 104], "text": "តែត្រូវស៊ូឲ្យ"}, {"coordinate": [16, 112, 264, 112, 264, 144, 16, 144], "text": "ហ៊ុន សែន ងាប់ដើម្បីជាតិយើងរស់"}, {"coordinate": [121, 148, 271, 148, 271, 173, 121, 173], "text": "១៧ កក្កដា ២០១៤ ឆាំ ឆានី"}] | |
train_src_train_image_007 | [{"coordinate": [30, 18, 679, 18, 679, 40, 30, 40], "text": "Those who are skilled in combat do notbecome angered, those who are"}, {"coordinate": [29, 41, 669, 41, 669, 65, 29, 65], "text": "skilled at winning do not become afraid. Thus the wise win before they"}, {"coordinate": [30, 66, 361, 66, 361, 90, 30, 90], "text": "fight, while the ignorant fight to win."}, {"coordinate": [29, 106, 120, 106, 120, 126, 29, 126], "text": "Zhuge Liang"}] | |
train_src_train_image_073 | [{"coordinate": [70, 36, 402, 36, 402, 56, 70, 56], "text": "Python bindings to the Google search engine."}, {"coordinate": [70, 114, 153, 114, 153, 132, 70, 132], "text": "Navigation"}, {"coordinate": [376, 114, 571, 114, 571, 142, 376, 142], "text": "Project description"}, {"coordinate": [112, 168, 241, 168, 241, 187, 112, 187], "text": "Project description"}, {"coordinate": [113, 220, 217, 220, 217, 237, 113, 237], "text": "Release history"}, {"coordinate": [113, 272, 213, 272, 213, 290, 113, 290], "text": "Download files"}, {"coordinate": [406, 209, 842, 209, 842, 228, 406, 228], "text": "The author of this package has not provided a project description"}, {"coordinate": [68, 352, 184, 352, 184, 369, 68, 369], "text": "Verified details"}, {"coordinate": [69, 381, 280, 381, 280, 394, 69, 394], "text": "These details have been verified by PyPI"}, {"coordinate": [70, 416, 152, 416, 152, 429, 70, 429], "text": "Maintainers"}, {"coordinate": [133, 456, 178, 456, 178, 469, 133, 469], "text": "mvilas"}, {"coordinate": [70, 535, 205, 535, 205, 549, 70, 549], "text": "Unverified details"}, {"coordinate": [69, 562, 300, 562, 300, 575, 69, 575], "text": "These details have not been verified by PyPI"}, {"coordinate": [69, 592, 156, 592, 156, 617, 69, 617], "text": "Project links"}, {"coordinate": [110, 631, 184, 631, 184, 649, 110, 649], "text": "Homepage"}, {"coordinate": [70, 678, 104, 678, 104, 690, 70, 690], "text": "Meta"}, {"coordinate": [81, 705, 241, 705, 241, 719, 81, 719], "text": "• License: BSD License"}, {"coordinate": [81, 727, 230, 727, 230, 741, 81, 741], "text": "• Author: Mario Vilas"}] | |
train_src_train_image_034 | [{"coordinate": [12, 7, 462, 7, 462, 138, 12, 138], "text": "ថ្ងៃធ្វើវិក្កយបត្រ"}, {"coordinate": [9, 160, 638, 160, 638, 275, 9, 275], "text": "លេខសំគាល់អតិថិជន"}, {"coordinate": [14, 301, 599, 301, 599, 431, 14, 431], "text": "ទីតាំងប្រើប្រាស់ចរន្ត"}, {"coordinate": [7, 451, 477, 439, 479, 553, 10, 565], "text": "ប្រភេទអតិថិជន"}] | |
train_src_train_image_060 | [{"coordinate": [29, 46, 441, 46, 441, 95, 29, 95], "text": "ផ្នែកបន្ថែមលើកម្មវិធីរុករក(Browser)"}, {"coordinate": [30, 104, 569, 104, 569, 135, 30, 135], "text": "ផ្នែកបន្ថែមលើកម្មវិធីរុករក(Browser)សម្រាប់ពិនិត្យអក្ខរាវិរុទ្ធភាសាខ្មែរនិង"}, {"coordinate": [29, 131, 585, 131, 585, 164, 29, 164], "text": "អង់គ្លេស។ វាស្វែងរក Textarea បន្ទាប់មកស្វែងរកកំហុសអក្ខរាវិរុទ្ធណាមួយ"}, {"coordinate": [32, 159, 247, 159, 247, 192, 32, 192], "text": "ហើយផ្តល់បញ្ជីណែនាំពាក្យ។"}, {"coordinate": [59, 252, 225, 252, 225, 281, 59, 281], "text": "រក និងកែអក្ខរាវិរុទ្ធអក្ខរាវិរុទ្ធ"}, {"coordinate": [62, 293, 165, 293, 165, 319, 62, 319], "text": "រាយពាក្យណែនាំ"}, {"coordinate": [64, 331, 372, 331, 372, 359, 64, 359], "text": "គាំទ្រការពិនិត្យអក្ខរាវិរុទ្ធភាសាខ្មែរ និងភាសាអង់គ្លេស"}, {"coordinate": [61, 374, 576, 374, 576, 399, 61, 399], "text": "ធ្វើការបានល្អនៅលើគេហទំព័រសង្គមមួយចំនួនដូចជា៖ Facebook, Twitter, Google"}, {"coordinate": [64, 396, 155, 396, 155, 418, 64, 418], "text": "Translate,.."}, {"coordinate": [67, 454, 198, 454, 198, 482, 67, 482], "text": "បន្ថែមទៅក្នុង Chrome"}, {"coordinate": [243, 453, 353, 453, 353, 482, 243, 482], "text": "បន្ថែមទៅក្នុង Edge"}] | |
train_src_train_image_282 | [{"coordinate": [65, 11, 703, 11, 703, 28, 65, 28], "text": "PhiBench played a central role in optimizing phi-4. We used it to guide decisions about dataset"}, {"coordinate": [43, 28, 703, 28, 703, 46, 43, 46], "text": "mixtures and hyperparameter choices for more effective post-training techniques. PhiBench was also"}, {"coordinate": [43, 46, 703, 46, 703, 65, 43, 65], "text": "used to perform high-signal studies that identify weaknesses in the model and provide feedback for new"}, {"coordinate": [43, 65, 191, 65, 191, 82, 43, 82], "text": "incoming data sources."}, {"coordinate": [41, 104, 395, 104, 395, 129, 41, 129], "text": "6 Performance on Key Benchmarks"}, {"coordinate": [44, 142, 701, 142, 701, 160, 44, 160], "text": "Our benchmark results were presented in Table 1, along with comparisons to other models. We first re-"}, {"coordinate": [43, 160, 702, 160, 702, 178, 43, 178], "text": "port the values from OpenAI'S SIMPLE-EVALS benchmark, which is a framework (including prompts, tem-"}, {"coordinate": [44, 178, 702, 178, 702, 197, 44, 197], "text": "perature, and extraction) for evaluating MMLU [HBB+20], GPQA diamond [RHS+23], MATH [HBK+21],"}, {"coordinate": [43, 195, 702, 195, 702, 215, 43, 215], "text": "HumanEval [CTJ+21], MGSM [SSF+22], and the SimpleQA [WKC+24] F1-score. We also consider"}, {"coordinate": [44, 215, 703, 215, 703, 233, 44, 233], "text": "MMLU-pro [WMZ+24], HumanEval+ [LXWZ23], ArenaHard [CZS+24], and IFEval [ZLM+23], for which"}, {"coordinate": [43, 234, 703, 234, 703, 251, 43, 251], "text": "we use an internal framework and prompting and extraction. Finally, we use PhiBench, our internal"}, {"coordinate": [44, 251, 299, 251, 299, 269, 44, 269], "text": "collection of evaluations (see Section 5)."}, {"coordinate": [66, 269, 703, 269, 703, 287, 66, 287], "text": "phi-4 outperforms the closest in-class contemporary model, Qwen-2.5-14B-Instruct, in 9 out of 12"}, {"coordinate": [43, 287, 702, 287, 702, 306, 43, 306], "text": "benchmarks. While phi-4 underperforms relative to Qwen-2.5-14B-Instruct on the benchmark numbers"}, {"coordinate": [43, 305, 703, 305, 703, 323, 43, 323], "text": "for SimpleQA, DROP, and IFEval, we consider phi-4's behavior on SimpleQA to actually be better"}, {"coordinate": [43, 323, 702, 323, 702, 341, 43, 341], "text": "than Qwen's. In fact, our base model gets a higher benchmark score than Qwen-2.5-14B-Instruct on"}, {"coordinate": [43, 341, 702, 341, 702, 359, 43, 359], "text": "SimpleQA, and we intentionally modified the model's behavior in post-training to optimize for a better"}, {"coordinate": [43, 359, 671, 359, 671, 377, 43, 377], "text": "user experience rather than a higher benchmark score. See Figure 6 and Appendix A.1 for details."}, {"coordinate": [65, 376, 701, 376, 701, 395, 65, 395], "text": "Our model excels at STEM Q&A tasks. For example, on GPQA (graduate-level STEM questions)"}, {"coordinate": [44, 395, 702, 395, 702, 414, 44, 414], "text": "and MATH (math competitions), it even outscores its teacher model, GPT-40. It also scores higher at"}, {"coordinate": [43, 414, 702, 414, 702, 431, 43, 431], "text": "coding, as measured by HumanEval and HumanEval+, than any other open-weight model we benchmark"}, {"coordinate": [44, 431, 335, 431, 335, 448, 44, 448], "text": "against, including much larger Llama models."}, {"coordinate": [65, 448, 701, 448, 701, 467, 65, 467], "text": "phi-4's weakest benchmark scores are on SimpleQA, DROP, and IFEval. We believe for the first"}, {"coordinate": [43, 467, 702, 467, 702, 485, 43, 485], "text": "two that the number reported by SIMPLE-EVALS is reductive and does not accurately reflect model"}, {"coordinate": [43, 486, 703, 486, 703, 504, 43, 504], "text": "performance on the benchmark problems. However, IFEval reveals a real weakness of our model - it"}, {"coordinate": [43, 504, 702, 504, 702, 522, 43, 522], "text": "has trouble strictly following instructions. While strict instruction following was not an emphasis of our"}, {"coordinate": [43, 522, 703, 522, 703, 541, 43, 541], "text": "synthetic data generations for this model, we are confident that phi-4's instruction-following performance"}, {"coordinate": [43, 540, 433, 540, 433, 558, 43, 558], "text": "could be significantly improved with targeted synthetic data."}, {"coordinate": [42, 581, 136, 581, 136, 604, 42, 604], "text": "7 Safety"}, {"coordinate": [43, 618, 702, 618, 702, 636, 43, 636], "text": "We developed phi-4 in accordance with Microsoft's Responsible AI principles. Our overall approach to"}, {"coordinate": [44, 636, 702, 636, 702, 654, 44, 654], "text": "RAI consisted of safety alignment in post-training, red-teaming, and automated testing and evaluations"}, {"coordinate": [43, 654, 702, 654, 702, 672, 43, 672], "text": "across dozens of RAI harm categories. We leveraged helpfulness and harmlessness preference datasets"}] | |
train_src_train_image_069 | [{"coordinate": [302, 40, 527, 40, 527, 126, 302, 126], "text": "ដីភើវីលៀន"}, {"coordinate": [-1, 145, 661, 145, 661, 225, -1, 225], "text": "មានទីតាំងនៅផ្ទះលេខ ២២៧ ផ្លូវលេខ ១៩"}, {"coordinate": [-9, 237, 493, 237, 493, 306, -9, 306], "text": "វានៅជ្រុងខាងក្រោយនៃវត្តបទុម"}, {"coordinate": [501, 240, 791, 240, 791, 305, 501, 305], "text": "(ខ្លោងទ្វារខាងលិច"}, {"coordinate": [-9, 329, 638, 329, 638, 400, -9, 400], "text": "ហើយមានច្រកមួយជាមួយ នឹង ដំរីសពីរ ។"}] | |
train_src_train_image_092 | [{"coordinate": [53, 64, 881, 64, 881, 123, 53, 123], "text": "Daddy's always on the move, mamma's"}, {"coordinate": [76, 130, 858, 130, 858, 189, 76, 189], "text": "always on the news. I try to keep you"}, {"coordinate": [53, 191, 896, 191, 896, 248, 53, 248], "text": "sheltered from it but somehow it seems"}, {"coordinate": [13, 253, 922, 253, 922, 318, 13, 318], "text": "The harder that I try to do that, the more it"}, {"coordinate": [20, 311, 918, 311, 918, 385, 20, 385], "text": "backfires on me. All the things growing up"}, {"coordinate": [174, 385, 775, 385, 775, 443, 174, 443], "text": "his daddy that he had to see"}, {"coordinate": [33, 452, 901, 452, 901, 509, 33, 509], "text": "Daddy don't want you to see but you see"}, {"coordinate": [219, 507, 716, 507, 716, 575, 219, 575], "text": "just as much as he did"}, {"coordinate": [126, 573, 824, 573, 824, 638, 126, 638], "text": "We did not plan it to be this way"}] | |
train_src_train_image_103 | [{"coordinate": [25, 11, 513, 11, 513, 30, 25, 30], "text": "Confidence-aware Non-repetitive Multimodal Transformers for"}, {"coordinate": [26, 35, 101, 35, 101, 54, 26, 54], "text": "TextCaps"}, {"coordinate": [34, 69, 80, 69, 80, 85, 34, 85], "text": "Article"}, {"coordinate": [31, 96, 98, 96, 98, 114, 31, 114], "text": "May 2021"}, {"coordinate": [26, 127, 429, 127, 429, 145, 26, 145], "text": "Proceedings of the AAAI Conference on Artificial Intelligence"}, {"coordinate": [46, 155, 151, 155, 151, 174, 46, 174], "text": "Zhaokai Wang ."}, {"coordinate": [25, 188, 497, 188, 497, 206, 25, 206], "text": "When describing an image, reading text in the visual scene is crucial to"}, {"coordinate": [26, 209, 536, 209, 536, 226, 26, 226], "text": "understand the key information. Recent work explores the TextCaps task, i.e."}, {"coordinate": [26, 230, 538, 230, 538, 248, 26, 248], "text": "image captioning with reading Optical Character Recognition (OCR) tokens,..."}, {"coordinate": [41, 272, 109, 272, 109, 285, 41, 285], "text": "Download"}, {"coordinate": [355, 269, 444, 269, 444, 287, 355, 287], "text": "Recommend"}, {"coordinate": [172, 154, 256, 154, 256, 171, 172, 171], "text": "Renda Bao ."}, {"coordinate": [276, 154, 328, 154, 328, 172, 276, 172], "text": "Qi Wu ."}, {"coordinate": [347, 153, 390, 153, 390, 172, 347, 172], "text": "Si Liu"}, {"coordinate": [95, 68, 218, 68, 218, 86, 95, 86], "text": "Full-text available"}, {"coordinate": [459, 270, 510, 270, 510, 287, 459, 287], "text": "Follow"}, {"coordinate": [525, 268, 570, 268, 570, 287, 525, 287], "text": "Share"}] | |
train_src_test_image_047 | [{"coordinate": [259, 54, 336, 54, 336, 70, 259, 70], "text": "CHAPTER 1"}, {"coordinate": [246, 81, 350, 81, 350, 98, 246, 98], "text": "INTRODUCTION"}, {"coordinate": [108, 122, 524, 122, 524, 141, 108, 141], "text": "This chapter presents the main subdivisions in this paper, including the background"}, {"coordinate": [70, 152, 524, 152, 524, 169, 70, 169], "text": "to the study, a description of the research problem, the significance of the study, the"}, {"coordinate": [71, 179, 483, 179, 483, 198, 71, 198], "text": "definitions of the key terms, the ethical considerations, and the scope of the study."}, {"coordinate": [72, 207, 229, 207, 229, 225, 72, 225], "text": "1.1 Background to the Study"}, {"coordinate": [107, 250, 524, 250, 524, 267, 107, 267], "text": "Numerous highly stressful events occurred in Cambodia in the last century."}, {"coordinate": [71, 278, 524, 278, 524, 296, 71, 296], "text": "According to Crowley (2010) and De Walque (2006), there were three significant periods"}, {"coordinate": [70, 306, 524, 306, 524, 323, 70, 323], "text": "and regimes in Cambodia. The first, the Khmer Rouge regime (1975-1979), was"}, {"coordinate": [71, 335, 523, 335, 523, 353, 71, 353], "text": "characterized by the massive destruction of the educational system and the systematic"}, {"coordinate": [70, 364, 523, 364, 523, 381, 70, 381], "text": "execution of educated people. The second, the Vietnamese Occupation (1979-1989),"}, {"coordinate": [70, 392, 523, 392, 523, 410, 70, 410], "text": "resulted in slow growth in fundamental educational facilities, as education was mainly used"}, {"coordinate": [72, 420, 523, 420, 523, 437, 72, 437], "text": "for ideological instead of practical purposes. The third, the democratic Cambodian"}, {"coordinate": [70, 449, 524, 449, 524, 466, 70, 466], "text": "Kingdom (1993-present), is the new government that has mainly been concerned with"}, {"coordinate": [71, 476, 526, 476, 526, 495, 71, 495], "text": "rebuilding the educational system; it has played a major role in encouraging a capitalistic"}, {"coordinate": [71, 505, 429, 505, 429, 523, 71, 523], "text": "mindset to help Cambodia to prepare to enter the world market system."}, {"coordinate": [107, 545, 524, 545, 524, 565, 107, 565], "text": "The Cambodian government and the Ministry of Education, Youth and Sport"}, {"coordinate": [70, 574, 525, 574, 525, 593, 70, 593], "text": "(MoEYS) have attempted to develop the Cambodian curriculum system in order to enter"}, {"coordinate": [71, 603, 524, 603, 524, 621, 71, 621], "text": "the world market. Table 1.1 shows the distribution of the years spent in primary, lower"}, {"coordinate": [71, 631, 449, 631, 449, 651, 71, 651], "text": "secondary, and upper secondary education during the three distinct periods."}] | |
train_src_train_image_042 | [{"coordinate": [73, 90, 682, 90, 682, 157, 73, 157], "text": "seanghay/awesome-"}, {"coordinate": [73, 159, 560, 159, 560, 229, 73, 229], "text": "khmer-language"}, {"coordinate": [72, 261, 799, 261, 799, 305, 72, 305], "text": "A large collection of Khmer language resources."}, {"coordinate": [74, 310, 689, 310, 689, 353, 74, 353], "text": "Khmer is a language used by Cambodia."}, {"coordinate": [121, 458, 148, 458, 148, 492, 121, 492], "text": "1"}, {"coordinate": [344, 459, 373, 459, 373, 492, 344, 492], "text": "1"}, {"coordinate": [502, 455, 564, 455, 564, 492, 502, 492], "text": "127"}, {"coordinate": [656, 455, 703, 455, 703, 494, 656, 494], "text": "26"}, {"coordinate": [120, 498, 268, 498, 268, 532, 120, 532], "text": "Contributor"}, {"coordinate": [345, 497, 416, 497, 416, 533, 345, 533], "text": "Issue"}, {"coordinate": [504, 497, 571, 497, 571, 534, 504, 534], "text": "Stars"}, {"coordinate": [656, 498, 729, 498, 729, 534, 656, 534], "text": "Forks"}] | |
train_src_test_image_030 | [{"coordinate": [146, 58, 306, 58, 306, 132, 146, 132], "text": "ACE"}, {"coordinate": [341, 49, 1139, 49, 1139, 124, 341, 124], "text": "មជ្ឈមណ្ឌលអូស្ដ្រាលីសម្រាប់ការបណ្ដុះបណ្ដាល"}, {"coordinate": [340, 120, 1137, 120, 1137, 169, 340, 169], "text": "Australian Centre for Education"}, {"coordinate": [543, 230, 1193, 230, 1193, 295, 543, 295], "text": "វគ្គសិក្សាថ្មីឆ្នាំ 2025 (01 កក្កដា-08 កញ្ញា)"}, {"coordinate": [541, 345, 1116, 345, 1116, 396, 541, 396], "text": "ផ្ដល់ជូនកម្មវិធីសិក្សាភាសាអង់គ្លេសគ្រប់កម្រិត"}, {"coordinate": [541, 394, 1034, 394, 1034, 444, 541, 444], "text": "សម្រាប់សិស្សចាប់ពីអាយុ ៨ឆ្នាំឡើងទៅ"}, {"coordinate": [544, 481, 985, 481, 985, 531, 544, 531], "text": "សិស្សអាចជ្រើសរើសថ្នាក់ក្រៅម៉ោង"}, {"coordinate": [541, 531, 870, 531, 870, 577, 541, 577], "text": "ឬពេញម៉ោងតាមតម្រូវការ"}, {"coordinate": [545, 621, 953, 621, 953, 672, 545, 672], "text": "សិស្សអាចជ្រើសរើសម៉ោងសិក្សា"}, {"coordinate": [544, 672, 768, 672, 768, 724, 544, 724], "text": "ដែលខ្លួនពេញចិត្ត"}, {"coordinate": [548, 758, 1025, 758, 1025, 808, 548, 808], "text": "សិស្សអាចជ្រើសរើសសិក្សានៅសាលា"}, {"coordinate": [547, 809, 982, 809, 982, 859, 547, 859], "text": "ឬតាមប្រព័ន្ធអេឡិចត្រូនិកពីចម្ងាយ"}, {"coordinate": [591, 884, 982, 884, 982, 962, 591, 962], "text": "023 222 325"}, {"coordinate": [45, 1000, 1230, 1000, 1230, 1054, 45, 1054], "text": "មានធ្វើតេស្ដចូលរៀននៅគ្រប់ទីតាំងសាលា និងតាមប្រព័ន្ធអេឡិចត្រូនិកសម្រាប់សិស្សថ្មីជារៀងរាល់ថ្ងៃ"}, {"coordinate": [70, 1072, 1197, 1072, 1197, 1110, 70, 1110], "text": "ACE ឈានមុខលើពិភពលោកលើសេវាបង្រៀនភាសាអង់គ្លេស និងការបណ្ដុះបណ្ដាលជំនាញ ទទួលបានពានរង្វាន់ឆ្មើមលំដាប់អន្តរជាតិ។"}, {"coordinate": [156, 1109, 1112, 1109, 1112, 1150, 156, 1150], "text": "បច្ចុប្បន្ន ACE មានសិស្សនិស្សិតចុះឈ្មោះចូលរៀនជាង ១០ ម៉ឺននាក់ក្នុង ១ឆ្នាំ មកពីជាង ៤០ សញ្ជាតិផ្សេងៗគ្នា។"}, {"coordinate": [31, 1181, 220, 1181, 220, 1217, 31, 1217], "text": "អេស៊ីអ៊ី សម្ដេចប៉ាន"}, {"coordinate": [245, 1180, 411, 1180, 411, 1217, 245, 1217], "text": "អេស៊ីអ៊ី សន្ធរម៉ុក"}, {"coordinate": [454, 1180, 618, 1180, 618, 1218, 454, 1218], "text": "អេស៊ីអ៊ី ទួលទំពួង"}, {"coordinate": [655, 1181, 826, 1181, 826, 1217, 655, 1217], "text": "អេស៊ីអ៊ី ទួលគោក"}, {"coordinate": [863, 1179, 1035, 1179, 1035, 1217, 863, 1217], "text": "អេស៊ីអ៊ី ចាក់អង្រែ"}, {"coordinate": [1069, 1180, 1243, 1180, 1243, 1218, 1069, 1218], "text": "អេស៊ីអ៊ី សៀមរាប"}, {"coordinate": [48, 1216, 203, 1216, 203, 1249, 48, 1249], "text": "023 218 318"}, {"coordinate": [249, 1218, 408, 1218, 408, 1251, 249, 1251], "text": "023 881 025"}, {"coordinate": [454, 1217, 615, 1217, 615, 1251, 454, 1251], "text": "023 222 325"}, {"coordinate": [662, 1215, 823, 1215, 823, 1249, 662, 1249], "text": "023 884 212"}, {"coordinate": [871, 1217, 1025, 1217, 1025, 1249, 871, 1249], "text": "023 231 100"}, {"coordinate": [1075, 1217, 1237, 1217, 1237, 1250, 1075, 1250], "text": "063 964 320"}] | |
train_src_train_image_164 | [{"coordinate": [60, 78, 392, 78, 392, 125, 60, 125], "text": "៥. បទពិចារណាអំពីទ្រឹស្ដីរបស់ដាវីល្លៀម"}, {"coordinate": [125, 137, 602, 137, 602, 181, 125, 181], "text": "ចំពោះទ្រឹស្តីបរិមាណលុយ Quantity Theory of Money"}, {"coordinate": [55, 176, 600, 176, 600, 225, 55, 225], "text": "ត្រូវបានអ្នកសេដ្ឋកិច្ចសម័យថ្មី Robert Lucas បានលើកមកជា"}, {"coordinate": [56, 222, 597, 222, 597, 267, 56, 267], "text": "ទ្រឹស្តី Neutrality of Money ហើយបានទទួលពានរង្វាន់ណូបែល"}, {"coordinate": [59, 270, 156, 270, 156, 308, 59, 308], "text": "សេដ្ឋកិច្ច។"}, {"coordinate": [122, 323, 597, 323, 597, 368, 122, 368], "text": "ការផ្គត់ផ្គង់រូបិយវត្ថុ (Money Supply) តាមខ្ញុំយល់ គឺ"}, {"coordinate": [58, 369, 597, 369, 597, 412, 58, 412], "text": "មានប្រយោជន៍សម្រាប់សេដ្ឋកិច្ច ទោះបីក្នុងរយៈពេលវែង ការផ្គត់"}, {"coordinate": [56, 410, 602, 410, 602, 454, 56, 454], "text": "ផ្គង់រូបិយវត្ថុ នឹងធ្វើឡើងអតិផរណាដូចគ្នាក្នុង ១ ឯកតាមេគុណ។"}, {"coordinate": [55, 449, 599, 449, 599, 499, 55, 499], "text": "កាលណាយើងបង្កើនរូបិយវត្ថុ នឹងធ្វើឲ្យកើនការវិនិយោគ ដើម្បី"}, {"coordinate": [55, 498, 467, 498, 467, 539, 55, 539], "text": "បើក និងពង្រីកអាជីវកម្មដែលនឹងបង្កើតការងារ។"}] | |
train_src_train_image_052 | [{"coordinate": [32, 24, 726, 24, 726, 51, 32, 51], "text": "នៅក្នុងអថកាលវិទ្យា ប្រព័ន្ធព្រះអាទិត្យ (Solar System) គឺជាប្រព័ន្ធអាកាសយានមួយដែលមានព្រះអាទិត្យស្ថិតនៅ"}, {"coordinate": [33, 50, 728, 50, 728, 75, 33, 75], "text": "កណ្តាល ហើយភាគច្រើននៃវត្ថុផ្សេងៗទាំងអស់ក្នុងប្រព័ន្ធនេះ ស្ថិតនៅជុំវិញវា។ ប្រព័ន្ធព្រះអាទិត្យរួមមានភពផែនដី"}, {"coordinate": [30, 75, 659, 75, 659, 100, 30, 100], "text": "និងភពដទៃទៀតចំនួនប្រាំបួនដែលជាភពសុិចខាងក្នុង (Mercury, Venus, Earth, Mars) និងប្រាំបួនទៀត"}, {"coordinate": [31, 100, 711, 100, 711, 126, 31, 126], "text": "ជាភពហ្គាស (Jupiter, Saturn, Uranus, Neptune)។ គ្រប់ភពទាំងនេះផ្ទុយជុំវិញព្រះអាទិត្យតាមអរបីតាសណ្ដោធ"}, {"coordinate": [28, 126, 229, 126, 229, 149, 28, 149], "text": "ដែលមានទ្រង់ទ្រាយខុសៗគ្នា។"}, {"coordinate": [33, 159, 724, 159, 724, 184, 33, 184], "text": "ក្រៅពីភពធំៗទាំងនេះ ប្រព័ន្ធព្រះអាទិត្យក៏មានអង្កត់ផ្កាយតូចៗ (asteroids), ធ្យូតនៃទឹកកក (comets), និងភពតូចៗ"}, {"coordinate": [31, 183, 718, 183, 718, 209, 31, 209], "text": "ដូចជា Pluto ដែលបានចាត់ទុកជាភពនិមួយៗ (dwarf planets)។ ទាំងអស់នេះបង្កើតឡើងជាសកលនៃវត្ថុអវកាស"}, {"coordinate": [32, 208, 511, 208, 511, 233, 32, 233], "text": "ដែលកំពុងធ្វើចលនាទៅជុំវិញព្រះអាទិត្យដោយសារបែបវិទ្យាគ្រិស្តសំណាញ់។"}, {"coordinate": [32, 239, 724, 239, 724, 268, 32, 268], "text": "សំខាន់ជាងនេះនោះ ប្រព័ន្ធព្រះអាទិត្យបានជួយសន្សំឲ្យមានជីវិតលើភពផែនដី ដោយផ្តល់ថាមពលសម្រាប់សរីរាង្គ"}, {"coordinate": [31, 263, 723, 263, 723, 291, 31, 291], "text": "និងគាំទ្របរិស្ថានធម្មជាតិ។ ការសិក្សាអំពីប្រព័ន្ធព្រះអាទិត្យជួយឲ្យយើងយល់ដឹងអំពីដើមកំណើតនៃភពផែនដី និង"}, {"coordinate": [29, 289, 546, 289, 546, 318, 29, 318], "text": "អនាគតនៃវា ក៏ដូចជាអាចជួយអភិវឌ្ឍបច្ចេកវិទ្យាដើម្បីស្វែងរកជីវិតនៅលើភពដទៃ។"}] | |
train_src_train_image_017 | [{"coordinate": [73, 369, 663, 369, 663, 414, 73, 414], "text": "The most effective way to live"}, {"coordinate": [81, 420, 674, 420, 674, 463, 81, 463], "text": "is as a warrior. A warrior may"}, {"coordinate": [70, 474, 667, 474, 667, 514, 70, 514], "text": "worry and think before making"}, {"coordinate": [55, 521, 680, 521, 680, 560, 55, 560], "text": "any decision, but once he makes"}, {"coordinate": [81, 566, 657, 566, 657, 613, 81, 613], "text": "it, he goes his way, free from"}, {"coordinate": [177, 622, 558, 622, 558, 662, 177, 662], "text": "worries or thoughts."}, {"coordinate": [140, 667, 614, 667, 614, 713, 140, 713], "text": "That's the warrior's way."}, {"coordinate": [228, 744, 506, 744, 506, 770, 228, 770], "text": "www.ModernWarriorMind.com"}] | |
train_src_test_image_088 | [{"coordinate": [18, 47, 687, 47, 687, 137, 18, 137], "text": "ខ្ញុំតែងតែប្រាប់បុគ្គលិកខ្ញុំឱ្យអភិវឌ្ឍខ្លួនគេជានិច្ច"}, {"coordinate": [25, 125, 680, 125, 680, 217, 25, 217], "text": "ហើយខ្ញុំក៏មិនបារម្ភការណ៍ដែលពួកគេចាកចេញ"}, {"coordinate": [21, 205, 689, 205, 689, 302, 21, 302], "text": "ពីខ្ញុំដែរ ព្រោះការចាកចេញរបស់ពួកគេ គឺជា"}, {"coordinate": [18, 298, 687, 298, 687, 380, 18, 380], "text": "ការសាយភាយ និងសាបព្រួសចំណេះដឹង"}, {"coordinate": [31, 382, 677, 382, 677, 452, 31, 452], "text": "ចំណេះធ្វើ ដើម្បីជួយអភិវឌ្ឍសង្គមប៉ុណ្ណោះ។"}, {"coordinate": [34, 487, 684, 487, 684, 525, 34, 525], "text": "I always tell my staff to update themselves"}, {"coordinate": [34, 543, 687, 543, 687, 589, 34, 589], "text": "and share their knowledge. I never envy"}, {"coordinate": [33, 608, 684, 608, 684, 645, 33, 645], "text": "when they leave me because their leaving"}, {"coordinate": [32, 666, 683, 666, 683, 707, 32, 707], "text": "will only lead to spreading of knowledge"}, {"coordinate": [52, 727, 662, 727, 662, 768, 52, 768], "text": "that can help the whole society in return."}, {"coordinate": [155, 804, 560, 804, 560, 860, 155, 860], "text": "អ្នកឧកញ៉ា វេជ្ជបណ្ឌិត គួច ម៉េងលី"}] | |
train_src_train_image_003 | [{"coordinate": [715, 742, 3126, 742, 3126, 871, 715, 871], "text": "Those who are skilled in combat do not become"}, {"coordinate": [709, 886, 3117, 886, 3117, 1018, 709, 1018], "text": "angered, those who are skilled at winning do"}, {"coordinate": [709, 1024, 3126, 1024, 3126, 1165, 709, 1165], "text": "not become afraid. Thus the wise win before"}, {"coordinate": [703, 1168, 3126, 1168, 3126, 1299, 703, 1299], "text": "they fight, while the ignorant fight to win."}, {"coordinate": [1796, 1365, 2042, 1365, 2042, 1431, 1796, 1431], "text": "Zhuge Liang"}, {"coordinate": [1834, 1765, 2067, 1765, 2067, 1816, 1834, 1816], "text": "quotefancy"}, {"coordinate": [1787, 1769, 1828, 1769, 1828, 1812, 1787, 1812], "text": "\""}] | |
train_src_train_image_288 | [{"coordinate": [24, 19, 352, 19, 352, 40, 24, 40], "text": "D Synthetic generation examples"}, {"coordinate": [25, 54, 236, 54, 236, 73, 25, 73], "text": "D.1 Generation examples"}, {"coordinate": [23, 82, 685, 82, 685, 101, 23, 101], "text": "We review a few examples of what our synthetic datasets look like, to give a general flavor of some of"}, {"coordinate": [24, 100, 123, 100, 123, 118, 24, 118], "text": "our techniques."}, {"coordinate": [25, 139, 430, 139, 430, 158, 25, 158], "text": "D.1.1 Extracting and Tagging Excerpts from Content"}, {"coordinate": [25, 164, 683, 164, 683, 182, 25, 182], "text": "To construct a dataset focused on reasoning and complexity, we extract excerpts from sources such as"}, {"coordinate": [24, 180, 683, 180, 683, 198, 24, 198], "text": "web pages, books, and scientific articles. Each excerpt is annotated with metadata such as complexity"}, {"coordinate": [24, 196, 683, 196, 683, 214, 24, 214], "text": "level, factual obscurity, and the presence of reasoning chains. These annotations help identify high-value"}, {"coordinate": [24, 213, 684, 213, 684, 230, 24, 230], "text": "content for synthetic data generation. Below, we provide an example of metadata we generated for"}, {"coordinate": [24, 228, 137, 228, 137, 244, 24, 244], "text": "scientific content:"}, {"coordinate": [24, 259, 241, 259, 241, 272, 24, 272], "text": "Start Line: 8, End Line: 11"}, {"coordinate": [25, 275, 385, 275, 385, 289, 25, 289], "text": "Information Type: Empirical Result Discussion"}, {"coordinate": [24, 291, 670, 291, 670, 305, 24, 305], "text": "Brief Description: Discussion of the role of SNPs in AD development and severity."}, {"coordinate": [24, 307, 177, 307, 177, 320, 24, 320], "text": "Complexity Level: B"}, {"coordinate": [24, 324, 186, 324, 186, 336, 24, 336], "text": "Factual Obscurity: C"}, {"coordinate": [24, 340, 217, 340, 217, 352, 24, 352], "text": "Chain of Reasoning: True"}, {"coordinate": [24, 356, 152, 356, 152, 369, 24, 369], "text": "Reasoning Steps:"}, {"coordinate": [57, 370, 494, 370, 494, 384, 57, 384], "text": "1. Assumption: Specific SNPs influence immune response."}, {"coordinate": [80, 386, 647, 386, 647, 400, 80, 400], "text": "Conclusion: These SNPs may affect AD severity by modulating IgE levels."}, {"coordinate": [79, 402, 646, 402, 646, 416, 79, 416], "text": "Description: The study links genetic variations to clinical phenotypes."}, {"coordinate": [55, 418, 607, 418, 607, 432, 55, 432], "text": "2. Assumption: SNPs associated with AD are replicated across cohorts."}, {"coordinate": [79, 432, 662, 432, 662, 448, 79, 448], "text": "Conclusion: Replication supports their role as potential genetic markers."}, {"coordinate": [80, 448, 670, 448, 670, 464, 80, 464], "text": "Description: Statistical analysis confirms the robustness of the findings."}, {"coordinate": [24, 464, 590, 464, 590, 481, 24, 481], "text": "Dependencies: Previous GWAS findings, statistical methods (lines 10-15)"}, {"coordinate": [25, 491, 683, 491, 683, 509, 25, 509], "text": "The raw content will later be filtered based on the metadata, and both will be used as seed for a variety"}, {"coordinate": [25, 509, 241, 509, 241, 529, 25, 529], "text": "of synthetic generations pipelines."}] | |
train_src_test_image_016 | [{"coordinate": [232, 34, 432, 34, 432, 57, 232, 57], "text": "TheWisdomWarrior.com"}, {"coordinate": [55, 415, 414, 415, 414, 472, 55, 472], "text": "Victory is always"}, {"coordinate": [71, 475, 398, 475, 398, 528, 71, 528], "text": "possible for the"}, {"coordinate": [33, 536, 435, 536, 435, 585, 33, 585], "text": "person who refuses"}, {"coordinate": [71, 594, 399, 594, 399, 643, 71, 643], "text": "to stop fighting."}, {"coordinate": [178, 635, 293, 635, 293, 658, 178, 658], "text": "Napoleon Hill"}] | |
train_src_train_image_049 | [{"coordinate": [230, 37, 373, 37, 373, 57, 230, 57], "text": "ព្រះរាជណាចក្រកម្ពុជា"}, {"coordinate": [229, 57, 375, 57, 375, 76, 229, 76], "text": "ជាតិសាសនា ព្រះមហាក្សត្រ"}, {"coordinate": [65, 172, 221, 172, 221, 195, 65, 195], "text": "ក្រសួងអប់រំ យុវជន និងកីឡា"}, {"coordinate": [340, 172, 534, 172, 534, 195, 340, 195], "text": "ក្រសួងប្រៃសណីយ៍និងទូរគមនាគមន៍"}, {"coordinate": [64, 195, 223, 195, 223, 223, 64, 223], "text": "លេខ៖ ៩៤៦អយក.ប្រក"}, {"coordinate": [242, 231, 358, 231, 358, 253, 242, 253], "text": "ប្រកាសអង្គរក្រសួង"}, {"coordinate": [288, 253, 315, 253, 315, 273, 288, 273], "text": "ស្ដីពី"}, {"coordinate": [82, 273, 519, 273, 519, 296, 82, 296], "text": "ការដាក់ឲ្យប្រើ *វិញ្ញាបនបត្រនិងសញ្ញាបត្រដែលពាក់ព័ន្ធនឹងការប្រឡងសញ្ញាបត្រ"}, {"coordinate": [66, 295, 535, 295, 535, 317, 66, 317], "text": "មធ្យមសិក្សានុតិយភូមិ សម័យប្រឡង៖ ៥ ធ្នូ ២០២២ តទៅ ដែលមានដាក់ QR Code ស្ដង់ដា\""}, {"coordinate": [107, 314, 492, 314, 492, 338, 107, 338], "text": "ដែលអាចផ្ទៀងផ្ទាត់បានតាមរយៈ \"ថ្នាលផ្ទៀងផ្ទាត់ឯកសារ verify.gov.kh\""}, {"coordinate": [119, 345, 221, 345, 221, 369, 119, 369], "text": "ឧបនាយករដ្ឋមន្ត្រី"}, {"coordinate": [384, 345, 430, 345, 430, 369, 384, 369], "text": "រដ្ឋមន្ត្រី"}, {"coordinate": [68, 365, 269, 365, 269, 389, 68, 389], "text": "រដ្ឋមន្ត្រីក្រសួងអប់រំ យុវជន និងកីឡា"}, {"coordinate": [304, 366, 507, 366, 507, 388, 304, 388], "text": "ក្រសួងប្រៃសណីយ៍និងទូរគមនាគមន៍"}, {"coordinate": [92, 398, 301, 398, 301, 418, 92, 418], "text": "- បានឃើញរដ្ឋធម្មនុញ្ញនៃព្រះរាជាណាចក្រកម្ពុជា"}, {"coordinate": [89, 415, 537, 415, 537, 436, 89, 436], "text": "- បានឃើញព្រះរាជក្រឹត្យលេខ នស/រកត/០៨២៣/១៩៨១ ចុះថ្ងៃទី២២ ខែសីហា ឆ្នាំ២០២៣ ស្ដីពីការតែងតាំង"}, {"coordinate": [98, 436, 277, 436, 277, 454, 98, 454], "text": "រាជរដ្ឋាភិបាលនៃព្រះរាជាណាចក្រកម្ពុជា"}, {"coordinate": [90, 453, 536, 453, 536, 474, 90, 474], "text": "- បានឃើញព្រះរាជក្រឹត្យលេខ នស/រកត/០២២៤/២០៥ ចុះថ្ងៃទី២១ ខែកុម្ភៈ ឆ្នាំ២០២៥ ស្ដីពីការតែងតាំង"}, {"coordinate": [98, 472, 378, 472, 378, 492, 98, 492], "text": "បំពេញបន្ថែមសមាសភាពរាជរដ្ឋាភិបាលនៃព្រះរាជាណាចក្រកម្ពុជា"}, {"coordinate": [90, 492, 537, 492, 537, 512, 90, 512], "text": "- បានឃើញព្រះរាជក្រឹត្យលេខ នស/រកត/០៩២៤/១១៦៩ ចុះថ្ងៃទី២០ ខែកញ្ញា ឆ្នាំ២០២៤ ស្ដីពីការកែសម្រួល"}, {"coordinate": [97, 510, 375, 510, 375, 528, 97, 528], "text": "និងតែងតាំងសមាសភាពរាជរដ្ឋាភិបាលនៃព្រះរាជាណាចក្រកម្ពុជា"}, {"coordinate": [91, 530, 537, 530, 537, 549, 91, 549], "text": "- បានឃើញព្រះរាជក្រឹត្យលេខ នស/រកត/១១២៤/១៤៧៧ ចុះថ្ងៃទី២០ ខែវិច្ចិកា ឆ្នាំ២០២៤ ស្ដីពីការកែសម្រួល"}, {"coordinate": [97, 549, 430, 549, 430, 567, 97, 567], "text": "និងតែងតាំងបំពេញបន្ថែមសមាសភាពរាជរដ្ឋាភិបាលនៃព្រះរាជាណាចក្រកម្ពុជា"}, {"coordinate": [91, 568, 538, 568, 538, 587, 91, 587], "text": "- បានឃើញព្រះរាជក្រមលេខ នស/រកម/០៦១៨/០១២ ចុះថ្ងៃទី២៨ ខែមិថុនា ឆ្នាំ២០១៨ ដែលប្រកាសឲ្យ"}, {"coordinate": [97, 586, 343, 586, 343, 606, 97, 606], "text": "ប្រើច្បាប់ស្ដីពីការរៀបចំ និងការប្រព្រឹត្តទៅនៃគណៈរដ្ឋមន្ត្រី"}, {"coordinate": [89, 605, 536, 605, 536, 625, 89, 625], "text": "- បានឃើញព្រះរាជក្រមលេខ នស/រកម/១២០៧ ចុះថ្ងៃទី០៨ ខែធ្នូ ឆ្នាំ២០០៧ ដែលប្រកាសឲ្យប្រើ"}, {"coordinate": [98, 625, 178, 625, 178, 643, 98, 643], "text": "ច្បាប់ស្ដីពីការអប់រំ"}, {"coordinate": [90, 644, 536, 644, 536, 664, 90, 664], "text": "- បានឃើញព្រះរាជក្រមលេខ នស/រកម/០១៩៦/០១ ចុះថ្ងៃទី២៤ ខែមករា ឆ្នាំ១៩៩៦ ដែលប្រកាសឲ្យប្រើ"}, {"coordinate": [97, 663, 305, 663, 305, 682, 97, 682], "text": "ច្បាប់ស្ដីពីការបង្កើតក្រសួងអប់រំ យុវជន និងកីឡា"}, {"coordinate": [88, 681, 537, 681, 537, 702, 88, 702], "text": "- បានឃើញព្រះរាជក្រមលេខ នស/រកម/០១៩៦/២០ ចុះថ្ងៃទី២៤ ខែមករា ឆ្នាំ១៩៩៦ ដែលប្រកាសឲ្យប្រើច្បាប់"}, {"coordinate": [97, 700, 319, 700, 319, 720, 97, 720], "text": "ស្ដីពីការបង្កើតក្រសួងប្រៃសណីយ៍និងទូរគមនាគមន៍"}, {"coordinate": [90, 720, 536, 720, 536, 739, 90, 739], "text": "- បានឃើញព្រះរាជក្រឹត្យលេខ នស/រកត/០៨២១/៥៦៤ ចុះថ្ងៃទី៧ ខែសីហា ឆ្នាំ២០២១ ស្ដីពីការរៀបចំនិង"}, {"coordinate": [97, 739, 348, 739, 348, 759, 97, 759], "text": "ការប្រព្រឹត្តទៅនៃក្រុមប្រឹក្សាជាតិសេដ្ឋកិច្ចនិងសង្គមឌីជីថល"}] | |
train_src_train_image_263 | [{"coordinate": [121, 12, 681, 12, 681, 32, 121, 32], "text": "៣៣. Nem Sopheakpanha, Cambodians Urged to Use Care on Social Media"}, {"coordinate": [72, 41, 676, 41, 676, 60, 72, 60], "text": "Platforms, (VOA Khmer, Phnom Penh 20 March 2019), https://www.voacambodia.com"}, {"coordinate": [69, 71, 606, 71, 606, 90, 69, 90], "text": "/a/cambodians-urged-to-use-care-on-social-media-platforms/48379 46.html."}, {"coordinate": [120, 99, 683, 99, 683, 120, 120, 120], "text": "៣៤. Touch Sokha and Ananth Baliga, Hun Sen says no room for lying civil"}, {"coordinate": [71, 128, 679, 128, 679, 149, 71, 149], "text": "servants, (Phnom Penh Post, Phnom Penh, 27 June 2017), https://www.phnompe"}, {"coordinate": [72, 158, 523, 158, 523, 177, 72, 177], "text": "nhpost.com/national/hun-sen-says-no-room-lying-civil servants."}] | |
train_src_test_image_022 | [{"coordinate": [132, 968, 857, 968, 857, 1089, 132, 1089], "text": "after shee said"}, {"coordinate": [30, 1093, 952, 1093, 952, 1240, 30, 1240], "text": "អូនខានមកជិត២ខែហើយ"}] | |
train_src_test_image_033 | [{"coordinate": [246, 27, 532, 27, 532, 116, 246, 116], "text": "ច្បាប់ភូមិបាល"}, {"coordinate": [173, 138, 605, 138, 605, 226, 173, 226], "text": "ផ្ដល់សិទ្ធិអំណាចឲ្យរដ្ឋ"}, {"coordinate": [84, 239, 720, 239, 720, 334, 84, 334], "text": "ដើម្បីផ្ដល់កម្មសិទ្ធិដីសមូហភាពដ"}, {"coordinate": [52, 354, 722, 354, 722, 429, 52, 429], "text": "ល់សហគមន៍ជនជាតិដើមភាគតិច។"}, {"coordinate": [177, 464, 600, 464, 600, 547, 177, 547], "text": "កម្មសិទ្ធិសមូលហភាព"}, {"coordinate": [15, 571, 788, 571, 788, 667, 15, 667], "text": "រាប់បញ្ជូលសិទ្ធិនិងការការពារទាំងអស់នៃ"}, {"coordinate": [224, 685, 548, 685, 548, 763, 224, 763], "text": "កម្មសិទ្ធិឯកជន។"}] | |
train_src_test_image_019 | [{"coordinate": [220, 64, 905, 64, 905, 129, 220, 129], "text": "When you attack the enemy,"}, {"coordinate": [174, 135, 948, 135, 948, 192, 174, 192], "text": "your spirit must go to the extent"}, {"coordinate": [171, 198, 957, 198, 957, 259, 171, 259], "text": "of pulling the stakes out of a wall"}, {"coordinate": [254, 265, 870, 265, 870, 324, 254, 324], "text": "and using them as spears."}, {"coordinate": [438, 322, 686, 322, 686, 352, 438, 352], "text": "Miyamoto Musashi"}, {"coordinate": [420, 823, 730, 823, 730, 856, 420, 856], "text": "TheWisdomWarrior.com"}] | |
train_src_train_image_281 | [{"coordinate": [41, 15, 274, 15, 274, 34, 41, 34], "text": "4.1 Supervised Fine-Tuning"}, {"coordinate": [43, 41, 702, 41, 702, 62, 43, 62], "text": "In this phase, we fine-tune the pretrained model with a learning rate of 10-6 on a variety of data generated"}, {"coordinate": [42, 62, 702, 62, 702, 80, 42, 80], "text": "from high-quality data across diverse domains, including math, coding, reasoning, conversation, model"}, {"coordinate": [43, 80, 704, 80, 704, 98, 43, 98], "text": "identity, and safety. We also added multilingual data for 40 languages. We use around 8B tokens of"}, {"coordinate": [44, 98, 402, 98, 402, 115, 44, 115], "text": "data in this phase, all formatted in the chatml format."}, {"coordinate": [41, 137, 334, 137, 334, 155, 41, 155], "text": "4.2 Direct Preference Optimization"}, {"coordinate": [42, 164, 703, 164, 703, 182, 42, 182], "text": "We use DPO [RSM+23] to align the model with human preferences, and also to steer the model away"}, {"coordinate": [42, 182, 701, 182, 701, 200, 42, 200], "text": "from unwanted behavior through pairs of desired and undesired outputs. DPO data covers chat format"}, {"coordinate": [43, 200, 702, 200, 702, 218, 43, 218], "text": "data, reasoning, and Responsible AI (RAI) data and improves the model in math, coding, reasoning,"}, {"coordinate": [43, 220, 702, 220, 702, 237, 43, 237], "text": "robustness, and safety. We do two rounds of DPO on the SFT model. We introduce a technique, Pivotal"}, {"coordinate": [44, 237, 704, 237, 704, 255, 44, 255], "text": "Token Search (PTS), to generate pairs for DPO for the first DPO round. Details of the data mixture"}, {"coordinate": [43, 256, 291, 256, 291, 273, 43, 273], "text": "for first round are provided in Table 7."}, {"coordinate": [65, 273, 705, 273, 705, 292, 65, 292], "text": "For the second round, which we call judge-guided DPO, we gather approximately 850k pairs of"}, {"coordinate": [43, 292, 702, 292, 702, 309, 43, 309], "text": "desired and undesired outputs. The prompts are sourced from various publicly available instruction"}, {"coordinate": [43, 309, 704, 309, 704, 327, 43, 327], "text": "tuning datasets and also include prompts related to safety and Responsible AI (RAI). Next, for each of"}, {"coordinate": [43, 327, 703, 327, 703, 345, 43, 345], "text": "these prompts, we generate responses from GPT-40, GPT-4t and our model. From these responses, we"}, {"coordinate": [43, 345, 703, 345, 703, 364, 43, 364], "text": "create various combinations of DPO pairs and use GPT-40 as a judge to label positive or negative for"}, {"coordinate": [43, 363, 702, 363, 702, 381, 43, 381], "text": "a given pair. For a given pair of responses, each assistant response is given a score based on accuracy,"}, {"coordinate": [43, 381, 701, 381, 701, 399, 43, 399], "text": "style, and detail. We label the response with higher accuracy or overall (average of accuracy, style, and"}, {"coordinate": [43, 399, 702, 399, 702, 417, 43, 417], "text": "detail) score as the positive response. We provide the prompt we used in Appendix A. The data mixture"}, {"coordinate": [43, 417, 702, 417, 702, 435, 43, 435], "text": "for this round is provided in Table 8. Both stages also include a small amount of data for safety and"}, {"coordinate": [43, 434, 207, 434, 207, 453, 43, 453], "text": "mitigating hallucinations."}] | |
train_src_test_image_034 | [{"coordinate": [12, 7, 462, 7, 462, 138, 12, 138], "text": "ថ្ងៃធ្វើវិក្កយបត្រ"}, {"coordinate": [9, 160, 638, 160, 638, 275, 9, 275], "text": "លេខសំគាល់អតិថិជន"}, {"coordinate": [14, 301, 599, 301, 599, 431, 14, 431], "text": "ទីតាំងប្រើប្រាស់ចរន្ត"}, {"coordinate": [7, 451, 477, 439, 479, 553, 10, 565], "text": "ប្រភេទអតិថិជន"}] | |
train_src_train_image_004 | [{"coordinate": [240, 191, 612, 191, 612, 223, 240, 223], "text": "Those who are skilled in combat"}, {"coordinate": [344, 232, 614, 232, 614, 266, 344, 266], "text": "do not become angered"}, {"coordinate": [240, 271, 616, 271, 616, 305, 240, 305], "text": "Those who are skilled at winning"}, {"coordinate": [381, 312, 622, 312, 622, 344, 381, 344], "text": "do not become afraid"}, {"coordinate": [197, 350, 262, 350, 262, 380, 197, 380], "text": "Thus"}, {"coordinate": [243, 389, 573, 389, 573, 420, 243, 420], "text": "The wise win before the fight"}, {"coordinate": [244, 428, 589, 428, 589, 458, 244, 458], "text": "While the ignorant fight to win."}, {"coordinate": [413, 509, 627, 509, 627, 536, 413, 536], "text": "O'Sensei Morihei Ueshiba."}] | |
train_src_train_image_091 | [{"coordinate": [31, 107, 600, 107, 600, 175, 31, 175], "text": "អ្នកដែលមានចំណេះដឹងតែមិនហ៊ាន"}, {"coordinate": [37, 175, 603, 175, 603, 244, 37, 244], "text": "ធ្វើ នោះដោយសារតែគាត់ស្ទើរ"}, {"coordinate": [32, 243, 603, 243, 603, 302, 32, 302], "text": "ចំណេះដឹងពិត បើគាត់យល់ដឹង"}, {"coordinate": [32, 307, 604, 307, 604, 382, 32, 382], "text": "ច្បាស់ពិតប្រាកដ នោះច្បាស់ជា"}, {"coordinate": [135, 381, 503, 381, 503, 449, 135, 449], "text": "គាត់ហ៊ានធ្វើមិនខាន។"}] | |
train_src_train_image_287 | [{"coordinate": [26, 9, 165, 9, 165, 24, 26, 24], "text": "contaminated: True"}, {"coordinate": [25, 27, 630, 27, 630, 39, 25, 39], "text": "Train: There are some oarsmen in a boat. The average weight is increased by 1.8 kg"}, {"coordinate": [25, 41, 651, 41, 651, 53, 25, 53], "text": "when one of the crew, who weighs 53 kg, is replaced by a new man who weighs 71 kg. How"}, {"coordinate": [25, 55, 278, 55, 278, 69, 25, 69], "text": "many oarsmen are there in the boat?"}, {"coordinate": [25, 70, 343, 70, 343, 82, 25, 82], "text": "Train Dataset: orca-math-word-problems-200k"}, {"coordinate": [26, 85, 627, 85, 627, 97, 26, 97], "text": "13gram_test: The average weight of 10 oarsmen in a boat is increased by 1.8 kg when"}, {"coordinate": [26, 100, 653, 100, 653, 113, 26, 113], "text": "one of the crew, who weighs 53 kg is replaced by a new man. Find the weight of the new"}, {"coordinate": [25, 115, 235, 115, 235, 126, 25, 126], "text": "man. A. 71 B. 62 C.43 D.67 E.40"}, {"coordinate": [25, 127, 185, 127, 185, 140, 25, 140], "text": "Test Dataset: AGIEval"}, {"coordinate": [26, 144, 527, 144, 527, 156, 26, 156], "text": "13gram.segment: one of the crew who weighs 53 kg is replaced by a new"}, {"coordinate": [26, 156, 213, 156, 213, 170, 26, 170], "text": "13gram.contaminated: True"}, {"coordinate": [26, 173, 649, 173, 649, 185, 26, 185], "text": "7gram_test: The average weight of 10 oarsmen in a boat is increased by 1.8 kg when one"}, {"coordinate": [25, 188, 624, 188, 624, 201, 25, 201], "text": "of the crew, who weighs 53 kg is replaced by a new man. Find the weight of the new"}, {"coordinate": [25, 202, 264, 202, 264, 213, 25, 213], "text": "man. A. 71 B. 62 C. 43 D. 67 E. 40"}, {"coordinate": [26, 215, 600, 215, 600, 230, 26, 230], "text": "7gram.overlaps: ['1 8 kg when one of the', 'of the crew who weighs 53 kg', 'the"}, {"coordinate": [26, 231, 630, 231, 630, 243, 26, 243], "text": "crew who weighs 53 kg is', 'increased by 18 kg when one', 'crew who weighs 53 kg is"}, {"coordinate": [25, 246, 645, 246, 645, 258, 25, 258], "text": "replaced', 'weighs 53 kg is replaced by a', '8 kg when one of the crew', 'is increased"}, {"coordinate": [25, 261, 651, 261, 651, 274, 25, 274], "text": "by 18 kg when', 'kg when one of the crew who', '53 kg is replaced by a new', 'when one"}, {"coordinate": [26, 275, 641, 275, 641, 288, 26, 288], "text": "of the crew who weighs', 'by 18 kg when one of', 'kg is replaced by a new man', 'one"}, {"coordinate": [26, 290, 471, 290, 471, 303, 26, 303], "text": "of the crew who weighs 53', 'who weighs 53 kg is replaced by']"}, {"coordinate": [26, 303, 261, 303, 261, 317, 26, 317], "text": "7gram_ratio: 0.39473684210526316"}] | |
train_src_train_image_083 | [{"coordinate": [116, 42, 154, 42, 154, 61, 116, 61], "text": "អភិវឌ្ឍន៍"}, {"coordinate": [192, 43, 241, 43, 241, 59, 192, 59], "text": "ភាពជាដៃគូ"}, {"coordinate": [104, 61, 169, 61, 169, 79, 104, 79], "text": "សហគមន៍ចម្រុះ"}, {"coordinate": [44, 124, 233, 124, 233, 148, 44, 148], "text": "របាយការណ៍ប្រចាំឆ្នាំ២០១៧"}, {"coordinate": [190, 60, 245, 60, 245, 77, 190, 77], "text": "និងគាំពារមតិ"}] | |
train_src_train_image_143 | [{"coordinate": [120, 122, 595, 122, 595, 165, 120, 165], "text": "ឆ្លៀតក្នុងឱកាសនេះខ្ញុំបាទ សូមថ្លែងអំណរគុណដល់ សាស្ត្រា"}, {"coordinate": [59, 163, 596, 163, 596, 201, 59, 201], "text": "ចារ្យសេដ្ឋកិច្ចរបស់ Takagi Shinji, Honda Yuzo Osaka"}, {"coordinate": [59, 204, 595, 204, 595, 240, 59, 240], "text": "University និង Iwata Kenji នៃ Kyushu University និងសាស្ត្រ"}, {"coordinate": [59, 241, 594, 241, 594, 283, 59, 283], "text": "mydierėjauns moij Abe, Ban, Urai, Dome, Oya, Kan,"}, {"coordinate": [57, 282, 596, 282, 596, 321, 57, 321], "text": "Maesono, Saeki, Osumi, Ishida, Osaka និងសាស្ត្រាចារ្យដ៏ទៃទៀ"}, {"coordinate": [56, 322, 596, 322, 596, 362, 56, 362], "text": "ត។ ខ្ញុំក៏ដឹងគុណសិស្សច្បង | Samreth Sovannroeun Nong"}, {"coordinate": [56, 364, 596, 364, 596, 396, 56, 396], "text": "Sovannak, Long Dara, Horn Theara Chunly Sereyvicheth"}, {"coordinate": [56, 400, 595, 400, 595, 441, 56, 441], "text": "ដែលមានឧបការៈគុណដល់ការសិក្សា និងរស់នៅរបស់ខ្ញុំ។ ជាមួយគ្នា"}, {"coordinate": [56, 440, 598, 440, 598, 477, 56, 477], "text": "នេះដែរសូមអរគុណ មិត្តរួមជំនាន់ Tea Seanghy, Ear Chariya និង"}, {"coordinate": [57, 480, 285, 480, 285, 516, 57, 516], "text": "Chea Vathannak ផងដែរ។"}, {"coordinate": [309, 537, 550, 537, 550, 572, 309, 572], "text": "កណ្តាល ២៣ មករា ២០២២"}, {"coordinate": [318, 789, 337, 789, 337, 806, 318, 806], "text": "BR"}, {"coordinate": [405, 639, 501, 639, 501, 684, 405, 684], "text": "ជឹម សុជាតិ"}] | |
train_src_test_image_010 | [{"coordinate": [33, 79, 266, 79, 266, 97, 33, 97], "text": "Opportunistic relationships can hardly"}, {"coordinate": [32, 101, 266, 101, 266, 118, 32, 118], "text": "be kept constant. The acquaintance of"}, {"coordinate": [36, 122, 264, 122, 264, 139, 36, 139], "text": "honorable people, even at a distance,"}, {"coordinate": [51, 142, 249, 142, 249, 160, 51, 160], "text": "does not add flowers in times of"}, {"coordinate": [32, 165, 267, 165, 267, 182, 32, 182], "text": "warmth and does not change its leaves"}, {"coordinate": [32, 184, 266, 184, 266, 204, 32, 204], "text": "in times of cold: it continues unfading"}, {"coordinate": [43, 207, 255, 207, 255, 224, 43, 224], "text": "through the four seasons, becomes"}, {"coordinate": [55, 228, 243, 228, 243, 246, 55, 246], "text": "increasingly stable as it passes"}, {"coordinate": [71, 249, 227, 249, 227, 267, 71, 267], "text": "through ease and danger."}, {"coordinate": [123, 281, 176, 281, 176, 295, 123, 295], "text": "Zhuge Liang"}, {"coordinate": [99, 301, 199, 301, 199, 313, 99, 313], "text": "PICTURE QUOTES.com"}] | |
train_src_train_image_090 | [{"coordinate": [19, 21, 113, 21, 113, 35, 19, 35], "text": "< Next Quote"}, {"coordinate": [30, 64, 283, 64, 283, 100, 30, 100], "text": "អ្នកដែលមានចំណេះដឹងតែមិនហ៊ាន"}, {"coordinate": [18, 97, 260, 97, 260, 130, 18, 130], "text": "ធ្វើ នោះដោយសារតែគាត់ស្ទើរចំ..."}, {"coordinate": [25, 304, 269, 304, 269, 337, 25, 337], "text": "អ្នកដែលមានចំណេះដឹងតែមិនហ៊ាន"}, {"coordinate": [25, 336, 274, 336, 274, 367, 25, 367], "text": "ធ្វើ នោះដោយសារតែគាត់ស្ទើរ"}, {"coordinate": [25, 364, 274, 364, 274, 393, 25, 393], "text": "ចំណេះដឹងពិត បើគាត់យល់ដឹង"}, {"coordinate": [25, 394, 273, 394, 273, 425, 25, 425], "text": "ច្បាស់ពិតប្រាកដ នោះច្បាស់ជា"}, {"coordinate": [68, 424, 234, 424, 234, 452, 68, 452], "text": "គាត់ហ៊ានធ្វើមិនខាន។"}] | |
train_src_test_image_031 | [{"coordinate": [7, 0, 475, 0, 475, 30, 7, 30], "text": "> has to defend a town against 150,000 troop"}, {"coordinate": [5, 31, 262, 31, 262, 57, 5, 57], "text": "with only 100 of his own"}, {"coordinate": [7, 61, 314, 61, 314, 90, 7, 90], "text": "> throws the gates wide open"}, {"coordinate": [7, 91, 284, 91, 284, 119, 7, 119], "text": "> sits on top playing a lute"}, {"coordinate": [7, 122, 460, 122, 460, 149, 7, 149], "text": "> enemy general thinks it's a trap and leaves"}] | |
train_src_test_image_294 | [{"coordinate": [41, 10, 140, 10, 140, 29, 41, 29], "text": "This script will:"}, {"coordinate": [26, 43, 260, 43, 260, 60, 26, 60], "text": "• Read all characters from the file"}, {"coordinate": [26, 74, 520, 74, 520, 94, 26, 94], "text": "• Remove duplicates (keeping only the first appearance of each character)"}, {"coordinate": [26, 107, 438, 107, 438, 127, 26, 127], "text": "• Overwrite the original file with the deduplicated characters"}, {"coordinate": [19, 147, 464, 147, 464, 165, 19, 165], "text": "Let me know if you prefer to save the output to a new file instead."}] | |
train_src_train_image_011 | [{"coordinate": [80, 51, 513, 51, 513, 101, 80, 101], "text": "Those who are skilled in"}, {"coordinate": [82, 116, 512, 116, 512, 167, 82, 167], "text": "combat do not become"}, {"coordinate": [18, 178, 578, 178, 578, 230, 18, 230], "text": "angered, those who are skilled"}, {"coordinate": [59, 245, 536, 245, 536, 296, 59, 296], "text": "at winning do not become"}, {"coordinate": [64, 307, 527, 307, 527, 362, 64, 362], "text": "afraid. Thus the wise win"}, {"coordinate": [49, 371, 544, 371, 544, 428, 49, 428], "text": "before they fight, while the"}, {"coordinate": [104, 438, 498, 438, 498, 494, 104, 494], "text": "ignorant fight to win."}] | |
train_src_train_image_014 | [{"coordinate": [42, 34, 416, 34, 416, 67, 42, 67], "text": "A Warrior chooses his battles wisely."}, {"coordinate": [41, 69, 388, 69, 388, 99, 41, 99], "text": "He does not rush to confrontation,"}, {"coordinate": [42, 106, 315, 106, 315, 136, 42, 136], "text": "but also does not shy away"}, {"coordinate": [41, 140, 298, 140, 298, 170, 41, 170], "text": "from it. Know where your"}, {"coordinate": [43, 173, 253, 173, 253, 203, 43, 203], "text": "lines in the sand are."}, {"coordinate": [42, 208, 308, 208, 308, 240, 42, 240], "text": "Know when to stand up for"}, {"coordinate": [42, 245, 272, 245, 272, 275, 42, 275], "text": "yourself. Be ready and"}, {"coordinate": [43, 279, 269, 279, 269, 311, 43, 311], "text": "willing to fight for YOU"}, {"coordinate": [43, 314, 228, 314, 228, 343, 43, 343], "text": "when the situation"}, {"coordinate": [42, 349, 270, 349, 270, 379, 42, 379], "text": "warrants. The warrior"}, {"coordinate": [43, 384, 221, 384, 221, 414, 43, 414], "text": "inside you knows:"}, {"coordinate": [42, 415, 202, 415, 202, 448, 42, 448], "text": "You're worth it."}, {"coordinate": [252, 446, 495, 446, 495, 470, 252, 470], "text": "TheWisdomWarrior.com"}] | |
train_src_train_image_044 | [{"coordinate": [231, 63, 320, 63, 320, 85, 231, 85], "text": "មូលន័យសង្ខេប"}, {"coordinate": [95, 84, 359, 84, 359, 106, 95, 106], "text": "កង្វល់ពំពីគុណភាពចំណេះដឹងភាសាខ្មែរក្នុងចំណោមសិស្ស"}, {"coordinate": [380, 86, 490, 86, 490, 104, 380, 104], "text": "បានស្ដែងឡើងតាមរយៈ"}, {"coordinate": [61, 109, 491, 109, 491, 127, 61, 127], "text": "លទ្ធផលរង្វាយតម្លៃមុខវិជ្ជាភាសាខ្មែរ, ថ្នាក់ទី៣ ទី៦ ទី៨ និង ទី១១ (MoEYS, 2015b, 2016, 2019a,"}, {"coordinate": [60, 130, 106, 130, 106, 148, 60, 148], "text": "2019b)។"}, {"coordinate": [128, 131, 489, 131, 489, 149, 128, 149], "text": "បញ្ហាគុណភាពអាចពាក់ព័ន្ធនឹងកត្តាច្រើនយ៉ាងដូចជាគុណភាពនាយកសាលារៀន"}, {"coordinate": [62, 155, 132, 155, 132, 173, 62, 173], "text": "លោកគ្រូអ្នកគ្រូ"}, {"coordinate": [138, 152, 267, 152, 267, 173, 138, 173], "text": "និងសម្ភារៈបង្រៀននិងរៀន។"}, {"coordinate": [274, 155, 302, 155, 302, 172, 274, 172], "text": "ដូច្នេះ"}, {"coordinate": [309, 153, 489, 153, 489, 172, 309, 172], "text": "ការស្រាវជ្រាវនេះបានវិភាគបញ្ហាប្រឈម"}, {"coordinate": [61, 174, 317, 174, 317, 197, 61, 197], "text": "លើសម្ភារៈបង្រៀននិងរៀនពាក់ព័ន្ធនឹងភាពអាចប្រើប្រាស់"}, {"coordinate": [336, 174, 490, 174, 490, 195, 336, 195], "text": "និងភាពអាចរៀនបាននៃភាសាខ្មែរ"}, {"coordinate": [61, 197, 490, 197, 490, 217, 61, 217], "text": "ដែលផ្ដោតទៅទំហំវាក្យសព្ទ (Vocabulary size) ចំនួនដងនៃការពើបប្រទៈពាក្យ (Word exposure"}, {"coordinate": [61, 220, 489, 220, 489, 240, 61, 240], "text": "frequency) ល្បះសម្ព័ន្ធ (Syntactic sentences) ពិពិធវចន (Lexical diversity) ប្រវែងល្បះ"}, {"coordinate": [61, 244, 160, 244, 160, 261, 61, 261], "text": "(Sentence lengths)"}, {"coordinate": [174, 243, 271, 243, 271, 260, 174, 260], "text": "និងភាពអាចអានបាន"}, {"coordinate": [277, 243, 348, 243, 348, 260, 277, 260], "text": "(Readability)។"}, {"coordinate": [353, 242, 488, 242, 488, 262, 353, 262], "text": "ទន្ទឹមនឹងការកំណត់បញ្ហានានា"}, {"coordinate": [61, 265, 365, 265, 365, 285, 61, 285], "text": "ការស្រាវជ្រាវនេះក៏ពិនិត្យមើលសក្ដានុពលសម្រាប់ការកែលម្អផងដែរ"}, {"coordinate": [372, 265, 490, 265, 490, 286, 372, 286], "text": "ដោយការផ្ដល់អនុសាសន័"}, {"coordinate": [61, 287, 292, 287, 292, 307, 61, 307], "text": "ពាក់ព័ន្ធនឹងការកំណត់ចំនួនវាក្យសព្ទតាមកម្រិតថ្នាក់"}, {"coordinate": [304, 287, 426, 287, 426, 307, 304, 307], "text": "ចំនួននៃការពើបប្រទៈពាក្យ"}, {"coordinate": [439, 287, 491, 287, 491, 305, 439, 305], "text": "ការកំណត់"}, {"coordinate": [60, 308, 489, 308, 489, 330, 60, 330], "text": "ប្រវែងល្បះ និងការប្រើប្រាស់បច្ចេកវិទ្យាព័ត៌មាន និងសារគមនាគមន៍ (ICT) ជាមធ្យោបាយជំរុញ"}, {"coordinate": [61, 333, 119, 333, 119, 352, 61, 352], "text": "ការសិក្សា។"}, {"coordinate": [96, 354, 489, 354, 489, 377, 96, 377], "text": "ទិន្នន័យសម្រាប់ការសិក្សានេះត្រូវបានប្រមូលពីប្រភពទិន្នន័យពីរផ្សេងគ្នា (១) ការសែត"}, {"coordinate": [62, 378, 489, 378, 489, 399, 62, 399], "text": "អនឡាញ ប្រជុំរៀងព្រេងខ្មែរ និងសៀវភៅសិក្សាគោលថ្នាក់ទី១ ដល់ទី៩ (២) ថ្នាលរៀនអនឡាញ"}, {"coordinate": [62, 399, 489, 399, 489, 421, 62, 421], "text": "សង្កប្ប។ កាសែតអនឡាញចំនួន២ មានភាពប្រជាប្រិយ និងកត់ត្រាអ្នកទស្សនាបានច្បាស់លាស់"}, {"coordinate": [62, 421, 490, 421, 490, 444, 62, 444], "text": "និងប្រជុំរឿងព្រេង ៩វគ្គ ដែលរឿងខ្លះត្រូវបានបញ្ចូលនៅក្នុងកម្មវិធីសិក្សាភាសាខ្មែរ ដើម្បីព្យាករ"}, {"coordinate": [61, 443, 490, 443, 490, 465, 61, 465], "text": "រកចំនួនទំហំវាក្យសព្ចសម្រាប់ការប្រើប្រាស់នៅក្នុងកម្រិតសិក្សាមូលដ្ឋាន។ សៀវភៅសិក្សាគោល"}, {"coordinate": [62, 467, 488, 467, 488, 487, 62, 487], "text": "ភាសាខ្មែរថ្នាក់ទី១ ដល់ ទី៩ របស់ក្រសួងអប់រំ យុវជន និងកីឡា សម្រាប់វិភាគទៅលើចំនួនដងនៃ"}, {"coordinate": [62, 489, 204, 489, 204, 512, 62, 512], "text": "ពាក្យដែលមាននៅក្នុងសៀវភៅ"}, {"coordinate": [215, 489, 491, 489, 491, 511, 215, 511], "text": "និងចំនួនភាគរយដែលត្រួតគ្នាទៅនឹងការព្យាករទំហំវាក្យសព្ច។"}, {"coordinate": [60, 512, 489, 512, 489, 532, 60, 532], "text": "លើសពីនេះ អត្ថបទអំណានដែលដកស្រង់ចេញពីសៀវភៅគោលភាសាខ្មែរថ្នាក់ទី៣ ទី៦ និងទី៩"}, {"coordinate": [61, 535, 489, 535, 489, 556, 61, 556], "text": "ត្រូវបានប្រើសម្រាប់វិភាគទៅលើភាពដែលអាចអានបាន ប្រវែងល្បះ ល្បះសម្ព័ន្ធ និងពិពិធវចន។"}, {"coordinate": [62, 556, 251, 556, 251, 577, 62, 577], "text": "ចំណែកឯការប្រើប្រាស់បច្ចេកវិទ្យាព័ត៌មាន"}, {"coordinate": [277, 557, 490, 557, 490, 577, 277, 577], "text": "និងសារគមនាគមន៍សម្រាប់ស្វែងរកសក្ដានុពល"}, {"coordinate": [62, 580, 149, 580, 149, 599, 62, 599], "text": "សម្រាប់ការកែសម្អ"}, {"coordinate": [161, 577, 491, 577, 491, 600, 161, 600], "text": "ទៅលើមធ្យោបាយសិក្សាតាមបែបទំនើបត្រូវបានដកស្រង់ចេញពីគេហទំព័រ"}, {"coordinate": [61, 601, 425, 601, 425, 624, 61, 624], "text": "មួយ ដែលត្រូវបានដាក់ឲ្យប្រើប្រាស់សាកល្បងនៅសាលាបឋមសិក្សាអង្គការមួយ។"}, {"coordinate": [94, 633, 489, 633, 489, 653, 94, 653], "text": "លទ្ធផលសិក្សាបានបង្ហាញថាទំហំវាក្យសព្ចសម្រាប់ព្យាករ នៅក្នុងកម្រិតមូលដ្ឋានប្រមាណ"}, {"coordinate": [62, 654, 490, 654, 490, 675, 62, 675], "text": "៩០០០ពាក្យផ្សេងៗគ្នា។ រីឯលទ្ធផលនៃសៀវភៅសិក្សាគោលភាសាខ្មែរថ្នាក់ទី១ ដល់ទី៩ គឺមិន"}, {"coordinate": [61, 677, 273, 677, 273, 698, 61, 698], "text": "អាចឲ្យសិស្សសិក្សាបានដោយចំនួនដងនៃពាក្យ"}, {"coordinate": [287, 676, 490, 676, 490, 699, 287, 699], "text": "និងចំនួនវាក្យសព្ចគ្របដណ្ដប់មិនគ្រប់គ្រាន់។"}, {"coordinate": [478, 723, 494, 723, 494, 739, 478, 739], "text": "i"}] | |
train_src_train_image_055 | [{"coordinate": [394, 107, 735, 107, 735, 143, 394, 143], "text": "CANDIDATE’S STATEMENT"}, {"coordinate": [94, 186, 441, 186, 441, 218, 94, 218], "text": "TO WHOM IT MAY CONCERN"}, {"coordinate": [95, 278, 1029, 278, 1029, 312, 95, 312], "text": "This is to certify that the dissertation that I, Khoy Bunlot, hereby present, entitled “Usability"}, {"coordinate": [95, 312, 1028, 312, 1028, 346, 95, 346], "text": "and Learnability of Khmer Language: Current Challenges and Potential for Improvement,” for"}, {"coordinate": [94, 345, 1029, 345, 1029, 377, 94, 377], "text": "the degree of Doctor of Philosophy in Khmer Studies, majoring in Linguistics at the Royal"}, {"coordinate": [96, 376, 1029, 376, 1029, 410, 96, 410], "text": "University of Phnom Penh, is entirely my own work. Furthermore, it has not been used to fulfill"}, {"coordinate": [96, 410, 1030, 410, 1030, 440, 96, 440], "text": "the requirements of any other qualification, in the whole or in part, at this or any other"}, {"coordinate": [97, 444, 455, 444, 455, 473, 97, 473], "text": "University or equivalent institution."}, {"coordinate": [95, 538, 1028, 538, 1028, 572, 95, 572], "text": "No reference to, or quotation from, this document may be made without the written approval"}, {"coordinate": [94, 572, 236, 572, 236, 600, 94, 600], "text": "of the author."}, {"coordinate": [94, 660, 439, 660, 439, 697, 94, 697], "text": "Name of Candidate: Khoy Bunlot"}, {"coordinate": [96, 707, 340, 707, 340, 744, 96, 744], "text": "Signed by the candidate"}, {"coordinate": [95, 752, 162, 752, 162, 792, 95, 792], "text": "Date:"}, {"coordinate": [94, 846, 486, 846, 486, 883, 94, 883], "text": "Name of Supervisor: Dr. Chhinh Sitha"}, {"coordinate": [95, 895, 429, 895, 429, 929, 95, 929], "text": "Countersigned by the Supervisor"}, {"coordinate": [91, 927, 157, 927, 157, 958, 91, 958], "text": "Date:"}, {"coordinate": [94, 1019, 674, 1019, 674, 1054, 94, 1054], "text": "Name of Co-Supervisor: Professor Dr. Keuk Chan Narith"}, {"coordinate": [95, 1065, 464, 1065, 464, 1100, 95, 1100], "text": "Countersigned by the Co-Supervisor"}, {"coordinate": [95, 1101, 157, 1101, 157, 1130, 95, 1130], "text": "Date:"}] | |
train_src_train_image_053 | [{"coordinate": [70, 26, 367, 26, 367, 64, 70, 64], "text": "តារាងអំពីភពនៅក្នុងប្រព័ន្ធព្រះអាទិត្យ"}, {"coordinate": [73, 70, 103, 70, 103, 88, 73, 88], "text": "ល.រ"}, {"coordinate": [207, 68, 267, 68, 267, 92, 207, 92], "text": "ឈ្មោះភព"}, {"coordinate": [387, 66, 453, 66, 453, 92, 387, 92], "text": "ប្រភេទភព"}, {"coordinate": [515, 68, 614, 68, 614, 92, 515, 92], "text": "លក្ខណៈពិសេស"}, {"coordinate": [71, 106, 88, 106, 88, 122, 71, 122], "text": "១"}, {"coordinate": [203, 102, 313, 102, 313, 127, 203, 127], "text": "Mercury (ព្រះចន្ទ)"}, {"coordinate": [387, 104, 426, 104, 426, 126, 387, 126], "text": "ភពថ្ម"}, {"coordinate": [517, 102, 744, 102, 744, 126, 517, 126], "text": "ជាភពដែលជិតព្រះអាទិត្យជាងគេ និងគ្មាន"}, {"coordinate": [514, 125, 585, 125, 585, 146, 514, 146], "text": "បរិយាកាស"}, {"coordinate": [72, 165, 89, 165, 89, 185, 72, 185], "text": "២"}, {"coordinate": [205, 165, 309, 165, 309, 188, 205, 188], "text": "Venus (ព្រះសុក្រ)"}, {"coordinate": [387, 165, 425, 165, 425, 189, 387, 189], "text": "ភពថ្ម"}, {"coordinate": [514, 162, 739, 162, 739, 190, 514, 190], "text": "មានបរិយាកាសដិត និងសីតុណ្ហភាពខ្ពស់"}, {"coordinate": [73, 209, 89, 209, 89, 226, 73, 226], "text": "៣"}, {"coordinate": [205, 204, 306, 204, 306, 228, 205, 228], "text": "Earth (ភពផែនដី)"}, {"coordinate": [388, 205, 424, 205, 424, 228, 388, 228], "text": "ភពថ្ម"}, {"coordinate": [514, 204, 699, 204, 699, 232, 514, 232], "text": "មានជីវិត និងទឹកស្រស់នៅលើផ្ទៃ"}, {"coordinate": [203, 245, 301, 245, 301, 270, 203, 270], "text": "Mars (ព្រះអង្គារ)"}, {"coordinate": [389, 244, 423, 244, 423, 270, 389, 270], "text": "ភពថ្ម"}, {"coordinate": [515, 246, 758, 246, 758, 269, 515, 269], "text": "មានផ្ទៃពណ៌ក្រហម និងតំបន់ដូចជាតំបន់បារី"}, {"coordinate": [515, 267, 569, 267, 569, 288, 515, 288], "text": "នៃផែនដី"}, {"coordinate": [73, 310, 87, 310, 87, 327, 73, 327], "text": "៥"}, {"coordinate": [73, 248, 87, 248, 87, 266, 73, 266], "text": "៤"}, {"coordinate": [209, 306, 314, 306, 314, 332, 209, 332], "text": "Jupiter (ព្រះព្រិល)"}, {"coordinate": [386, 308, 448, 308, 448, 332, 386, 332], "text": "ភពហ្គាស"}, {"coordinate": [513, 305, 761, 305, 761, 334, 513, 334], "text": "ភពធំបំផុត មានព្យុះដ៏ខ្លាំង ហៅថា Great Red"}, {"coordinate": [513, 333, 549, 333, 549, 350, 513, 350], "text": "Spot"}, {"coordinate": [69, 372, 89, 372, 89, 392, 69, 392], "text": "៦"}, {"coordinate": [206, 370, 311, 370, 311, 394, 206, 394], "text": "Saturn (ព្រះសៅរ៍)"}, {"coordinate": [386, 371, 447, 371, 447, 395, 386, 395], "text": "ភពហ្គាស"}, {"coordinate": [513, 370, 759, 370, 759, 396, 513, 396], "text": "មានចម្បងផ្ចិតលឿងស្រស់ និងរង្វង់ធំៗជុំវិញ"}, {"coordinate": [70, 411, 91, 411, 91, 432, 70, 432], "text": "៧"}, {"coordinate": [205, 408, 327, 408, 327, 435, 205, 435], "text": "Uranus (ព្រះអូរ៉ានូស)"}, {"coordinate": [386, 412, 447, 412, 447, 435, 386, 435], "text": "ភពហ្គាស"}, {"coordinate": [513, 408, 725, 408, 725, 438, 513, 438], "text": "មានពណ៌ខៀវស្រងាត់ និងវិលកោងផ្លូវ"}, {"coordinate": [71, 454, 89, 454, 89, 473, 71, 473], "text": "៨"}, {"coordinate": [204, 453, 349, 453, 349, 476, 204, 476], "text": "Neptune (ព្រះណេបទូន)"}, {"coordinate": [385, 452, 449, 452, 449, 477, 385, 477], "text": "ភពហ្គាស"}, {"coordinate": [511, 448, 755, 448, 755, 474, 511, 474], "text": "មានខ្យល់បក់លឿន និងសីតុណ្ហភាពត្រជាក់"}, {"coordinate": [513, 474, 548, 474, 548, 498, 513, 498], "text": "ខ្លាំង"}, {"coordinate": [69, 522, 675, 522, 675, 554, 69, 554], "text": "ប្រសិនបើអ្នកចង់បានតារាងនេះជារូបភាព ឬជា PDF សម្រាប់បោះពុម្ព សូមប្រាប់ខ្ញុំបានដោយសេរី។"}] | |
train_src_train_image_096 | [{"coordinate": [125, 13, 256, 13, 256, 33, 125, 33], "text": "References"}, {"coordinate": [132, 52, 757, 52, 757, 73, 132, 73], "text": "[1] Ramachandran, L., Gehringer, E., Yadav, R.: Automated assessment of the qual-"}, {"coordinate": [160, 73, 759, 73, 759, 93, 160, 93], "text": "ity of peer reviews using natural language processing techniques. International"}, {"coordinate": [160, 93, 758, 93, 758, 114, 160, 114], "text": "Journal of Artificial Intelligence in Education 27 (2017) https://doi.org/10.1007/"}, {"coordinate": [160, 115, 298, 115, 298, 129, 160, 129], "text": "s40593-016-0132-x"}, {"coordinate": [132, 150, 758, 150, 758, 171, 132, 171], "text": "[2] Ramesh, D., Sanampudi, S.K.: An automated essay scoring systems: a systematic"}, {"coordinate": [160, 171, 758, 171, 758, 192, 160, 192], "text": "literature review. Artif Intell Rev 55, 2495-2527 (2022) https://doi.org/10.1007/"}, {"coordinate": [159, 192, 307, 192, 307, 209, 159, 209], "text": "s10462-021-10068-2"}, {"coordinate": [133, 228, 759, 228, 759, 248, 133, 248], "text": "[3] Baek, Y., Lee, B., Han, D., Yun, S., Lee, H.: Character region awareness for"}, {"coordinate": [159, 250, 759, 250, 759, 270, 159, 270], "text": "text detection. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern"}, {"coordinate": [432, 326, 450, 326, 450, 342, 432, 342], "text": "11"}] | |
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237, 767, 219, 767], "text": "រ៉ែ"}, {"coordinate": [250, 746, 310, 746, 310, 770, 250, 770], "text": "កម្មន្តសាល"}, {"coordinate": [315, 746, 365, 746, 365, 773, 315, 773], "text": "ហិរញ្ញវត្ថុ"}, {"coordinate": [372, 746, 435, 746, 435, 772, 372, 772], "text": "សណ្ឋាគារ"}, {"coordinate": [447, 749, 476, 749, 476, 769, 447, 769], "text": "ICT"}, {"coordinate": [491, 746, 565, 746, 565, 771, 491, 771], "text": "អចលនទ្រព្យ"}, {"coordinate": [577, 746, 620, 746, 620, 771, 577, 771], "text": "ផ្សេងៗ"}, {"coordinate": [637, 749, 673, 749, 673, 767, 637, 767], "text": "Total"}, {"coordinate": [150, 784, 170, 784, 170, 802, 150, 802], "text": "53"}, {"coordinate": [151, 805, 171, 805, 171, 823, 151, 823], "text": "10"}, {"coordinate": [250, 784, 275, 784, 275, 802, 250, 802], "text": "163"}, {"coordinate": [627, 872, 676, 872, 676, 892, 627, 892], "text": "39.58%"}, {"coordinate": [485, 873, 535, 873, 535, 890, 485, 890], "text": "41.89%"}, {"coordinate": [207, 875, 245, 875, 245, 892, 207, 892], "text": "89.47%"}, {"coordinate": [249, 873, 296, 873, 296, 890, 249, 890], "text": "64.36%"}, {"coordinate": [311, 874, 361, 874, 361, 891, 311, 891], "text": "24.49%"}, {"coordinate": [368, 874, 417, 874, 417, 890, 368, 890], "text": "40.79%"}, {"coordinate": [248, 849, 272, 849, 272, 865, 248, 865], "text": "251"}] | |
train_src_train_image_087 | [{"coordinate": [22, 16, 104, 16, 104, 43, 22, 43], "text": "*ភាសាខ្មែរៈ"}, {"coordinate": [155, 13, 441, 13, 441, 48, 155, 48], "text": "ឯងនិយាយដូចគ្មានជំពាក់អាណាមួយរៀល!"}, {"coordinate": [22, 45, 503, 45, 503, 70, 22, 70], "text": "Literal Translation: You are talking as if you don't owe"}, {"coordinate": [21, 71, 179, 71, 179, 96, 21, 96], "text": "any one one Real!"}, {"coordinate": [22, 104, 106, 104, 106, 134, 22, 134], "text": "*ភាសាខ្មែរៈ"}, {"coordinate": [157, 99, 367, 99, 367, 136, 157, 136], "text": "អើ!វាស្រេចតែក្បាលចិត្តរបស់ខ្ញុំ"}, {"coordinate": [21, 132, 473, 132, 473, 158, 21, 158], "text": "Literal Translation: It is up to the head of my mind."}, {"coordinate": [20, 166, 106, 166, 106, 195, 20, 195], "text": "* ភាសាខ្មែរៈ"}, {"coordinate": [144, 162, 362, 162, 362, 195, 144, 195], "text": "គាត់និយាយអង់គ្លេសដូចស៊ីបាយ!"}, {"coordinate": [22, 192, 499, 192, 499, 222, 22, 222], "text": "Literal Translation: He speaks English like he's eating"}, {"coordinate": [22, 222, 63, 222, 63, 243, 22, 243], "text": "rice!"}, {"coordinate": [20, 250, 107, 250, 107, 284, 20, 284], "text": "* ភាសាខ្មែរៈ"}, {"coordinate": [145, 252, 405, 252, 405, 286, 145, 286], "text": "តែគាត់និយាយដូចគ្មានដឹងខ្យល់អីសោះ!"}, {"coordinate": [28, 284, 444, 284, 444, 310, 28, 310], "text": "Literal Translation: But he talks as if he"}, {"coordinate": [22, 315, 229, 315, 229, 340, 22, 340], "text": "doesn't know wind."}, {"coordinate": [23, 349, 107, 349, 107, 384, 23, 384], "text": "* ភាសាខ្មែរៈ"}, {"coordinate": [143, 349, 318, 349, 318, 384, 143, 384], "text": "អានេះល្ងង់ដប់គត់តែម្តង!"}, {"coordinate": [21, 383, 504, 383, 504, 412, 21, 412], "text": "Literal Translation: He is as stupid as number"}, {"coordinate": [22, 418, 61, 418, 61, 437, 22, 437], "text": "ten."}] | |
train_src_test_image_007 | [{"coordinate": [30, 18, 679, 18, 679, 40, 30, 40], "text": "Those who are skilled in combat do notbecome angered, those who are"}, {"coordinate": [29, 41, 669, 41, 669, 65, 29, 65], "text": "skilled at winning do not become afraid. Thus the wise win before they"}, {"coordinate": [30, 66, 361, 66, 361, 90, 30, 90], "text": "fight, while the ignorant fight to win."}, {"coordinate": [29, 106, 120, 106, 120, 126, 29, 126], "text": "Zhuge Liang"}] | |
train_src_train_image_089 | [{"coordinate": [37, 23, 123, 23, 123, 40, 37, 40], "text": "Jul 22, 2023"}, {"coordinate": [13, 60, 634, 60, 634, 98, 13, 98], "text": "ខ្ញុំតែងតែប្រាប់បុគ្គលិកខ្ញុំឱ្យអភិវឌ្ឍខ្លួនគេជានិច្ច ហើយខ្ញុំក៏មិនបារម្ភការណ៍"}, {"coordinate": [10, 96, 596, 96, 596, 133, 10, 133], "text": "ដែលពួកគេចាកចេញពីខ្ញុំដែរ ព្រោះការចាកចេញរបស់ពួកគេ គឺជាការ"}, {"coordinate": [13, 132, 632, 132, 632, 168, 13, 168], "text": "សាយភាយ និងសាបព្រួសចំណេះដឹង ចំណេះធ្វើ ដើម្បីជួយអភិវឌ្ឍសង្គម"}, {"coordinate": [12, 168, 105, 168, 105, 204, 12, 204], "text": "ប៉ុណ្ណោះ។"}, {"coordinate": [12, 209, 214, 209, 214, 238, 12, 238], "text": "អ្នកឧកញ៉ា វេជ្ជបណ្ឌិត គួច ម៉េងលី"}, {"coordinate": [210, 294, 456, 294, 456, 331, 210, 331], "text": "ចែករំលែកកម្រងទស្សនៈនេះ"}] | |
train_src_train_image_079 | [{"coordinate": [192, 614, 276, 614, 276, 630, 192, 630], "text": "BATTAMBANG"}, {"coordinate": [301, 799, 344, 799, 344, 812, 301, 812], "text": "PURSAT"}, {"coordinate": [377, 948, 438, 948, 438, 962, 377, 962], "text": "KOH KONG"}, {"coordinate": [473, 78, 1158, 78, 1158, 183, 473, 183], "text": "ងាយស្រួលពង្រីកអាជីវកម្ម"}, {"coordinate": [496, 187, 1160, 187, 1160, 236, 496, 236], "text": "ងាយស្រួលគ្រប់គ្រងទៅលើសាខា និងហាងជា Franchiese"}, {"coordinate": [437, 237, 1161, 237, 1161, 288, 437, 288], "text": "ការពារការបាត់ទិន្នន័យប្រាក់ចំណូល និងការផ្លាស់ប្តូរនានាដោយគ្មានការអនុញ្ញាត"}, {"coordinate": [460, 441, 504, 441, 504, 454, 460, 454], "text": "ODDAR"}, {"coordinate": [451, 459, 517, 459, 517, 470, 451, 470], "text": "MEANCHEY"}, {"coordinate": [593, 451, 630, 451, 630, 463, 593, 463], "text": "PREAH"}, {"coordinate": [592, 467, 634, 467, 634, 479, 592, 479], "text": "VIHEAR"}, {"coordinate": [865, 492, 906, 492, 906, 504, 865, 504], "text": "STUNG"}, {"coordinate": [867, 508, 908, 508, 908, 520, 867, 520], "text": "TRENG"}, {"coordinate": [981, 446, 1047, 446, 1047, 460, 981, 460], "text": "RATANAKIRI"}, {"coordinate": [685, 668, 747, 668, 747, 679, 685, 679], "text": "KAMPONG"}, {"coordinate": [698, 684, 734, 684, 734, 695, 698, 695], "text": "THOM"}, {"coordinate": [843, 679, 880, 679, 880, 697, 843, 697], "text": "KRATIE"}, {"coordinate": [980, 685, 1055, 685, 1055, 703, 980, 703], "text": "MONDULKIRI"}, {"coordinate": [539, 843, 589, 843, 589, 857, 539, 857], "text": "KAMPON"}, {"coordinate": [693, 794, 753, 794, 753, 806, 693, 806], "text": "KAMPONG"}, {"coordinate": [705, 810, 741, 810, 741, 821, 705, 821], "text": "CHAM"}, {"coordinate": [820, 847, 870, 847, 870, 860, 820, 860], "text": "TBOUNG"}, {"coordinate": [823, 865, 870, 865, 870, 876, 823, 876], "text": "KHMOM"}, {"coordinate": [541, 858, 593, 858, 593, 872, 541, 872], "text": "CHINAN"}, {"coordinate": [465, 888, 526, 888, 526, 899, 465, 899], "text": "KAMPONG"}, {"coordinate": [481, 903, 511, 903, 511, 915, 481, 915], "text": "SPEU"}, {"coordinate": [527, 1043, 551, 1043, 551, 1055, 527, 1055], "text": "POT"}, {"coordinate": [613, 1076, 652, 1076, 652, 1088, 613, 1088], "text": "TAKEO"}, {"coordinate": [781, 942, 809, 942, 809, 953, 781, 953], "text": "SVAY"}, {"coordinate": [781, 958, 813, 958, 813, 970, 781, 970], "text": "RIÊNG"}, {"coordinate": [655, 983, 703, 983, 703, 996, 655, 996], "text": "KANDAL"}, {"coordinate": [718, 994, 750, 994, 750, 1008, 718, 1008], "text": "PREY"}, {"coordinate": [717, 1011, 750, 1011, 750, 1022, 717, 1022], "text": "VENG"}, {"coordinate": [969, 1163, 1227, 1163, 1227, 1208, 969, 1208], "text": "SMART POS"}, {"coordinate": [1135, 1208, 1224, 1208, 1224, 1228, 1135, 1228], "text": "CLOUD"}] | |
train_src_train_image_075 | [{"coordinate": [262, 20, 506, 20, 506, 42, 262, 42], "text": "2. RELATED WORK"}, {"coordinate": [11, 84, 760, 84, 760, 106, 11, 106], "text": "Orientation detection is a common challenge in document analysis and processing for certain"}, {"coordinate": [10, 106, 762, 106, 762, 128, 10, 128], "text": "applications. Most of the existing research works are proposed for non-text images and focuses on"}, {"coordinate": [10, 129, 759, 129, 759, 151, 10, 151], "text": "identifying the skew angles using various computer vision algorithms. Fischer et al. [1] applied"}, {"coordinate": [11, 153, 761, 153, 761, 174, 11, 174], "text": "CNN for solving the problem of orientation classification of general images only. In the proposed"}, {"coordinate": [10, 176, 760, 176, 760, 197, 10, 197], "text": "method, CNN predicts the angle of landscape photos without any preprocessing. It is also clear"}, {"coordinate": [10, 199, 761, 199, 761, 220, 10, 220], "text": "from this research that CNN can be used to feature out those areas responsible for different image"}, {"coordinate": [11, 222, 761, 222, 761, 243, 11, 243], "text": "orientations. However, authors in [1] did not provide any explanation that solidifies their CNN"}, {"coordinate": [10, 243, 760, 243, 760, 268, 10, 268], "text": "model further and robustness is poor for text images. Furhet, Jeungmin et al. [2] proposed a"}, {"coordinate": [10, 268, 760, 268, 760, 289, 10, 289], "text": "document orientation detection approach that detects document capturing moments to help users"}, {"coordinate": [9, 291, 761, 291, 761, 312, 9, 312], "text": "to correct the orientation errors. They captured the document orientation by tracking the gravity"}, {"coordinate": [10, 314, 759, 314, 759, 335, 10, 335], "text": "direction and gyroscope data and gave visual criticism of the construed direction for manual"}, {"coordinate": [10, 337, 761, 337, 761, 359, 10, 359], "text": "rectification. Wei et al. [3] used an interpolation artifacts approach implemented by applying a"}, {"coordinate": [10, 359, 764, 359, 764, 381, 10, 381], "text": "rotation to digital images. Be that as it may, this strategy likewise would not work for pictures that"}, {"coordinate": [10, 383, 760, 383, 760, 404, 10, 404], "text": "were not taken upstanding. H. S. Baird [4] defined an algorithm for detecting the page orientation"}, {"coordinate": [11, 405, 760, 405, 760, 426, 11, 426], "text": "(portrait/landscape) and the degree of skew for documents available as binary images. They used"}, {"coordinate": [10, 427, 761, 427, 761, 448, 10, 448], "text": "a new approach of Hough Transform and local analysis. Later, Solanki et al. [5] method are for"}, {"coordinate": [10, 451, 761, 451, 761, 473, 10, 473], "text": "printed images, make use of patterns of printer dots by analyzing them, and then estimate the"}, {"coordinate": [10, 474, 763, 474, 763, 495, 10, 495], "text": "rotation of images. Plainly, this strategy likewise not material to pictures taken with a"}, {"coordinate": [11, 497, 759, 497, 759, 518, 11, 518], "text": "computerized camera. In other words, the continuous-valued prediction of angles task has been"}, {"coordinate": [10, 520, 762, 520, 762, 541, 10, 541], "text": "decreased to discrete angles by confining the revolutions to multiples of 90. This issue can be"}, {"coordinate": [10, 543, 762, 543, 762, 564, 10, 564], "text": "understood as reasonable proficiently [6, 12]. With time a lot more researches happened over text"}] | |
train_src_train_image_018 | [{"coordinate": [141, 38, 407, 38, 407, 66, 141, 66], "text": "TheWisdomWarrior.com"}, {"coordinate": [62, 573, 486, 573, 486, 607, 62, 607], "text": "Those who are skilled in combat"}, {"coordinate": [50, 609, 497, 609, 497, 645, 50, 645], "text": "do not become angered, those who"}, {"coordinate": [34, 644, 511, 644, 511, 680, 34, 680], "text": "are skilled at winning do not become"}, {"coordinate": [36, 680, 507, 680, 507, 715, 36, 715], "text": "afraid. Thus the wise win before the"}, {"coordinate": [34, 716, 511, 716, 511, 752, 34, 752], "text": "fight; while the ignorant fight to win."}, {"coordinate": [209, 748, 341, 748, 341, 769, 209, 769], "text": "Morihei Ueshiba"}] | |
train_src_train_image_286 | [{"coordinate": [41, 13, 324, 13, 324, 35, 41, 35], "text": "A.1.1 Synthetic Generation Prompts"}, {"coordinate": [42, 41, 700, 41, 700, 59, 42, 59], "text": "Here, we share the main synthetic generation prompts, provided to GPT-40, to generate post-training"}, {"coordinate": [41, 60, 247, 60, 247, 75, 41, 75], "text": "data to decrease hallucinations."}, {"coordinate": [42, 101, 265, 101, 265, 115, 42, 115], "text": "Generation of bogus questions"}, {"coordinate": [41, 130, 385, 130, 385, 147, 41, 147], "text": "Consider the following trivia question:"}, {"coordinate": [42, 168, 131, 168, 131, 181, 42, 181], "text": "# Question"}, {"coordinate": [41, 183, 160, 183, 160, 202, 41, 202], "text": "{{ question }}"}, {"coordinate": [42, 219, 165, 219, 165, 237, 42, 237], "text": "# Instructions"}, {"coordinate": [41, 256, 655, 256, 655, 273, 41, 273], "text": "Your job is to turn this problem into a nonsensical one, for which the"}, {"coordinate": [76, 273, 689, 273, 689, 291, 76, 291], "text": "answer is invalid or unlikely to be known by anyone. For example, you"}, {"coordinate": [75, 291, 664, 291, 664, 309, 75, 309], "text": "might change the name from a well-known figure to a random name, or"}, {"coordinate": [77, 309, 689, 309, 689, 326, 77, 326], "text": "change the date from a well-known event to a random date, or the place"}, {"coordinate": [76, 328, 661, 328, 661, 347, 76, 347], "text": "to a different one. For example, you might change \"When did Amelia"}, {"coordinate": [76, 348, 682, 348, 682, 362, 76, 362], "text": "Earhart cross the Atlantic Ocean?\" to \"When did Edgar Greenwood cross."}, {"coordinate": [76, 362, 672, 362, 672, 380, 76, 380], "text": "the Atlantic Ocean?\" or \"How many times did Amelia Earhart cross the"}, {"coordinate": [76, 382, 236, 382, 236, 400, 76, 400], "text": "English Channel?\"."}, {"coordinate": [40, 418, 681, 418, 681, 436, 40, 436], "text": "Your goal is that the new question is *plausibly real*, but impossible to"}, {"coordinate": [77, 436, 663, 436, 663, 455, 77, 455], "text": "answer. You should not make the question obviously fake, silly, or"}, {"coordinate": [76, 456, 660, 456, 660, 473, 76, 473], "text": "fictional; for example, all country names should be real countries,"}, {"coordinate": [76, 473, 670, 473, 670, 490, 76, 490], "text": "and no names should be obvious homages to the original question. It"}, {"coordinate": [77, 490, 461, 490, 461, 507, 77, 507], "text": "should sound like a serious trivia question."}] | |
train_src_train_image_109 | [{"coordinate": [116, 106, 197, 106, 197, 123, 116, 123], "text": "Reference"}, {"coordinate": [116, 141, 672, 141, 672, 161, 116, 161], "text": "[1] Wang Fang. Order for 30 Years, about 10 Results [J]. Proceedings of China, 2019"}, {"coordinate": [115, 173, 156, 173, 156, 191, 115, 191], "text": "(006)."}, {"coordinate": [115, 203, 671, 203, 671, 223, 115, 223], "text": "[2] Yang Hong, Qu Tianyao, etc. Lao Huang Ridge Bamboo Locust Occurrence Status"}, {"coordinate": [114, 235, 563, 235, 563, 254, 114, 254], "text": "Quo and Countermeasures [J]. China eppo Tribune, 2017 (9): 50-54"}, {"coordinate": [115, 266, 673, 266, 673, 285, 115, 285], "text": "[3] Wang Lixin&Zhou Qiang. Locusts Photoelectric Induction Capture Governance"}, {"coordinate": [115, 297, 672, 297, 672, 317, 115, 317], "text": "Research Progress and Application Prospect of Analysis [J]. Journal of China"}, {"coordinate": [115, 326, 410, 326, 410, 348, 115, 348], "text": "agricultural university, 2017, 12 (5): 203-210"}, {"coordinate": [116, 359, 673, 359, 673, 378, 116, 378], "text": "[4] Zhao Yanping. Boundless World: Cooperate with the International Order of the"}, {"coordinate": [114, 390, 671, 390, 671, 410, 114, 410], "text": "20th Century History [J]. Journal of yunnan university (social science edition), 2020,"}, {"coordinate": [116, 421, 160, 421, 160, 439, 116, 439], "text": "12 (4)."}, {"coordinate": [115, 453, 673, 453, 673, 473, 115, 473], "text": "[5] Fan Fulai. Governance by the Concept of Ecological Civilization of Locust"}, {"coordinate": [115, 484, 672, 484, 672, 503, 115, 503], "text": "Disaster [C]. The 15th annual meeting of China Association for Science and"}, {"coordinate": [115, 515, 672, 515, 672, 535, 115, 535], "text": "Technology at the venue: 18th agricultural ecological environment protection and"}, {"coordinate": [115, 547, 672, 547, 672, 566, 115, 566], "text": "agricultural sustainable development conference proceedings. Guiyang: China"}, {"coordinate": [116, 577, 521, 577, 521, 596, 116, 596], "text": "academic journals (cd-rom version) electronic magazine, 2013."}, {"coordinate": [115, 610, 671, 610, 671, 629, 115, 629], "text": "[6] Kang Le&Wei Liya. Research on locusts in China in the past 60 years [J]. Journal"}, {"coordinate": [115, 640, 374, 640, 374, 659, 115, 659], "text": "of Plant Protection, 2022,49 (1): 4-166."}, {"coordinate": [115, 671, 673, 671, 673, 691, 115, 691], "text": "[7] Cao Chengquan Zhang Yang, etc. The Locusts Research Progress and the"}, {"coordinate": [115, 702, 675, 702, 675, 722, 115, 722], "text": "Comprehensive Treatment [J]. Journal of shandong university (natural science edition),"}, {"coordinate": [115, 733, 269, 733, 269, 752, 115, 752], "text": "2008, 33 (4) 6:657-660."}, {"coordinate": [116, 764, 674, 764, 674, 784, 116, 784], "text": "[8]Aixiamu Yakufu, Migiti Sedora, etc. Analyses the Grassland Locust Biological"}, {"coordinate": [115, 796, 670, 796, 670, 816, 115, 816], "text": "Control Technology [J]. Journal of jilin animal husbandry and veterinary, 2020 (8) :"}, {"coordinate": [115, 827, 158, 827, 158, 844, 115, 844], "text": "77-79."}, {"coordinate": [116, 859, 672, 859, 672, 878, 116, 878], "text": "[9] Zou Yunjin & Niu Jianhua. Government Interagency Coordination Mechanism in"}, {"coordinate": [115, 890, 671, 890, 671, 909, 115, 909], "text": "Emergency Management Enable Utility - in Crisis Response of the Olympic Games[J]."}, {"coordinate": [114, 920, 651, 920, 651, 939, 114, 939], "text": "Journal of suzhou university (philosophy and social science edition). 2022, 43 (02)."}, {"coordinate": [115, 952, 670, 952, 670, 971, 115, 971], "text": "[10] Yu Jianxing & Chen Shaohui. From the Technology Can Sssign to the System"}, {"coordinate": [115, 983, 673, 983, 673, 1003, 115, 1003], "text": "Restore: Emergency Management System and Mechanism Innovation of the Digital"}] | |
train_src_train_image_001 | [{"coordinate": [355, 18, 491, 18, 491, 49, 355, 49], "text": "Zhuge Liang"}, {"coordinate": [345, 89, 761, 89, 761, 122, 345, 122], "text": "Those who are skilled in combat"}, {"coordinate": [345, 124, 739, 124, 739, 161, 345, 161], "text": "do notbecome angered, those"}, {"coordinate": [346, 161, 722, 161, 722, 197, 346, 197], "text": "who are skilled at winning do"}, {"coordinate": [345, 199, 713, 199, 713, 234, 345, 234], "text": "not become afraid. Thus the"}, {"coordinate": [345, 236, 763, 236, 763, 272, 345, 272], "text": "wise win before they fight, while"}, {"coordinate": [345, 271, 669, 271, 669, 309, 345, 309], "text": "the ignorant fight to win."}, {"coordinate": [367, 354, 482, 354, 482, 379, 367, 379], "text": "AZ QUQTES"}] | |
train_src_train_image_174 | [{"coordinate": [35, 564, 74, 564, 74, 594, 35, 594], "text": "និង"}, {"coordinate": [40, 72, 570, 72, 570, 112, 40, 112], "text": "បានន័យថាអ្នកជំនួញទី១ មិនទិញរថយន្ត ពើសិនគុណភាពទាប"}, {"coordinate": [38, 116, 219, 116, 219, 154, 38, 154], "text": "ជាងតម្ល μ/p < 1។"}, {"coordinate": [38, 176, 552, 176, 552, 214, 38, 214], "text": "ការផ្គត់រថយន្តទិញសម្រាប់លក់ ដែគុណភាពឡាន 0 ≤ x ≤ 2"}, {"coordinate": [37, 218, 249, 218, 249, 257, 37, 257], "text": "និង N ចំនួនឡានសរុប។"}, {"coordinate": [196, 279, 298, 279, 298, 306, 196, 306], "text": "S2 = pN/2"}, {"coordinate": [354, 279, 411, 279, 411, 306, 354, 306], "text": "p≤2"}, {"coordinate": [37, 323, 241, 323, 241, 359, 37, 359], "text": "គុណភាពឡានជាមធ្យម"}, {"coordinate": [252, 379, 329, 379, 329, 408, 252, 408], "text": "μ = p/2"}, {"coordinate": [35, 415, 467, 415, 467, 461, 35, 461], "text": "ដូចគ្នានេះដែរតម្រូវការឡានសម្រាប់អ្នកជំនួញទី២៖"}, {"coordinate": [180, 481, 278, 481, 278, 506, 180, 506], "text": "D2 = Y2/p"}, {"coordinate": [330, 478, 430, 478, 430, 508, 330, 508], "text": "3μ/2p > 1"}, {"coordinate": [152, 521, 220, 521, 220, 550, 152, 550], "text": "D2 = 0"}, {"coordinate": [329, 521, 431, 521, 431, 548, 329, 548], "text": "3μ/2p < 1"}, {"coordinate": [248, 622, 317, 622, 317, 650, 248, 650], "text": "S2 = 0"}] | |
train_src_train_image_012 | [{"coordinate": [56, 13, 159, 13, 159, 29, 56, 29], "text": "VS BATTLES WIKI"}, {"coordinate": [10, 46, 273, 46, 273, 62, 10, 62], "text": "Now we have to guess timeframes, I will do a"}, {"coordinate": [10, 68, 266, 68, 266, 84, 10, 84], "text": "few and you tell me which you think is best:"}, {"coordinate": [10, 104, 263, 104, 263, 121, 10, 121], "text": "1 Second: 3500000m/1s = 3500000m/s ="}, {"coordinate": [10, 126, 149, 126, 149, 143, 10, 143], "text": "1.16c: Sub-relativistic"}, {"coordinate": [11, 163, 269, 163, 269, 179, 11, 179], "text": "5 Seconds: 3500000m/5s = 700000 m/s ="}, {"coordinate": [11, 186, 271, 186, 271, 203, 11, 203], "text": "Mach 2040.81633: Massively Hypersonic+"}, {"coordinate": [11, 223, 281, 223, 281, 239, 11, 239], "text": "10 Seconds: 3500000m/10s = 350000 m/s ="}, {"coordinate": [11, 246, 269, 246, 269, 262, 11, 262], "text": "Mach 1020.40816: Massively Hypersonic+"}, {"coordinate": [11, 283, 281, 283, 281, 298, 11, 298], "text": "20 Seconds: 3500000m/20s = 175000 m/s ="}, {"coordinate": [11, 305, 262, 305, 262, 320, 11, 320], "text": "Mach 510.204082: Massively Hypersonic"}, {"coordinate": [10, 341, 274, 341, 274, 357, 10, 357], "text": "30 Seconds: 3500000m/30s = 116666.6667"}, {"coordinate": [10, 364, 276, 364, 276, 381, 10, 381], "text": "m/s = Mach 340.136: Massively Hypersonic"}, {"coordinate": [10, 401, 272, 401, 272, 417, 10, 417], "text": "60 Seconds: 3500000m/60s = 58333.3333"}, {"coordinate": [11, 423, 250, 423, 250, 440, 11, 440], "text": "m/s = Mach 170: Massively Hypersonic"}, {"coordinate": [10, 461, 256, 461, 256, 476, 10, 476], "text": "So the values span over three speed tiers."}] | |
train_src_train_image_177 | [{"coordinate": [34, 44, 456, 44, 456, 93, 34, 93], "text": "ជឹម សុជាតិ៖ អ្នកស្រាវជ្រាវ នៃរាជបណ្ឌិត្យសភាកម្ពុជា"}, {"coordinate": [34, 91, 552, 91, 552, 133, 34, 133], "text": "ធ្លាប់មានបទពិសោធន៍ការងារ ក្រសួងការងារបណ្តុះបណ្តាលវិជ្ជាជីវៈ"}, {"coordinate": [33, 133, 402, 133, 402, 174, 33, 174], "text": "ក្រសួងសេដ្ឋកិច្ចនិងហិរញ្ញវត្ថុ និងក្រុមហ៊ុនជប៉ុន"}, {"coordinate": [36, 185, 275, 185, 275, 226, 36, 226], "text": "១៩៨៣ កើតនៅខេត្តកណ្តាល"}, {"coordinate": [33, 238, 553, 238, 553, 281, 33, 281], "text": "២០០៨ បញ្ចប់ការសិក្សាបរិញ្ញប័ត្រសេដ្ឋកិច្ចពី Kyushu University"}, {"coordinate": [33, 293, 549, 293, 549, 333, 33, 333], "text": "២០១០ បញ្ចប់ការសិក្សាអនុបណ្ឌិតសេដ្ឋកិច្ចពី Osaka University"}] | |
train_src_train_image_290 | [{"coordinate": [56, 76, 205, 76, 205, 93, 56, 93], "text": "### Chosen Action"}, {"coordinate": [54, 112, 670, 112, 670, 130, 54, 130], "text": "Based on the analysis and the updated plan, the next logical and legal"}, {"coordinate": [63, 131, 705, 131, 705, 147, 63, 147], "text": "- action is to move disk 1 from rod B to rod C. This move adheres to the"}, {"coordinate": [63, 148, 546, 148, 546, 167, 63, 167], "text": "- rules and progresses towards the goal configuration."}, {"coordinate": [56, 183, 179, 183, 179, 202, 56, 202], "text": "<updated plan>"}, {"coordinate": [56, 202, 327, 202, 327, 219, 56, 219], "text": "1. **Move Disk 1 from B to C**:"}, {"coordinate": [82, 222, 501, 222, 501, 239, 82, 239], "text": "- Completion Quantification: Disk 1 is on rod C."}, {"coordinate": [81, 239, 642, 239, 642, 256, 81, 256], "text": "- Certainty: Known. This move is legal and necessary to progress"}, {"coordinate": [87, 256, 389, 256, 389, 276, 87, 276], "text": "- towards the goal configuration."}, {"coordinate": [54, 292, 327, 292, 327, 310, 54, 310], "text": "2. **Move Disk 0 from A to C**:"}, {"coordinate": [77, 311, 659, 311, 659, 328, 77, 328], "text": "- Completion Quantification: Disk 0 is on rod C, on top of disk 1."}, {"coordinate": [79, 330, 632, 330, 632, 347, 79, 347], "text": "- Certainty: Known. This move is legal once disk 1 is on rod C."}, {"coordinate": [55, 364, 327, 364, 327, 382, 55, 382], "text": "3. **Move Disk 2 from C to B**:"}, {"coordinate": [81, 383, 501, 383, 501, 400, 81, 400], "text": "Completion Quantification: Disk 2 is on rod B."}, {"coordinate": [80, 402, 694, 402, 694, 419, 80, 419], "text": "- Certainty: Known. This move is necessary to free rod C for the final"}, {"coordinate": [88, 420, 198, 420, 198, 437, 88, 437], "text": "- sequence."}, {"coordinate": [56, 438, 188, 438, 188, 456, 56, 456], "text": "</updated plan>"}, {"coordinate": [56, 472, 607, 472, 607, 492, 56, 492], "text": "<action>Move the top disk of rod B to the top of rod C</action>"}] | |
train_src_train_image_176 | [{"coordinate": [107, 62, 587, 62, 587, 112, 107, 112], "text": "ទ្រឹស្តីវិបត្តិហិរញ្ញវត្ថុរបស់ ផូលគ្រូម៉ែន ត្រូវបានគេឲ្យឈ្មោះ"}, {"coordinate": [41, 108, 319, 108, 319, 158, 41, 158], "text": "ទ្រឹស្ដីវិបត្តិហិរញ្ញវត្ថុជំនាន់ទី ២ ។"}, {"coordinate": [108, 234, 583, 234, 583, 281, 108, 281], "text": "ទ្រឹស្ដីវិបត្តិនេះ បានបង្ហាញ ពីការបង្គ្រប់ចំនាយរដ្ឋាភិបាល"}, {"coordinate": [41, 280, 559, 280, 559, 327, 41, 327], "text": "ដោយការបោះពម្ភលុយ ដែលធ្វើមនុស្សក្នុងសេដ្ឋកិច្ច ចាប់ផ្ដើម"}, {"coordinate": [43, 325, 586, 325, 586, 369, 43, 369], "text": "បោះបង់រូបិយបណ្ណក្នុងស្រុក ហើយយករូបិយបណ្ណបរទេស ដែល"}, {"coordinate": [41, 366, 531, 366, 531, 412, 41, 412], "text": "ធ្វើទុនបម្រុងធនាគារកណ្ដាលអស់ តាមរយៈ Speculative"}, {"coordinate": [44, 416, 124, 416, 124, 445, 44, 445], "text": "Attack។"}, {"coordinate": [247, 167, 376, 167, 376, 229, 247, 229], "text": "M/P = G - T"}] | |
train_src_train_image_023 | [{"coordinate": [68, 55, 633, 55, 633, 92, 68, 92], "text": "ភាពអាចប្រើប្រាស់បាននិងភាពអាចរៀនបាននៃភាសាខ្មែរ ៖"}, {"coordinate": [48, 96, 649, 96, 649, 137, 48, 137], "text": "បញ្ហាប្រឈមនាពេលបច្ចុប្បន្ននិងសក្ដានុពលសម្រាប់ការកែលម្អ"}, {"coordinate": [143, 147, 557, 147, 557, 173, 143, 173], "text": "Usability and Learnability of Khmer Language:"}, {"coordinate": [126, 172, 573, 172, 573, 198, 126, 198], "text": "Current Challenges and Potential for Improvement"}] | |
train_src_train_image_291 | [{"coordinate": [137, 34, 827, 34, 827, 77, 137, 77], "text": "A novel approach to Khmer Handwritten"}, {"coordinate": [130, 80, 834, 80, 834, 122, 130, 122], "text": "Text Recognition using Fine-tuned TrOCR"}, {"coordinate": [133, 235, 371, 235, 371, 262, 133, 262], "text": "Presenter: Mr. Soy Vitou"}, {"coordinate": [132, 265, 381, 265, 381, 290, 132, 290], "text": "Advisor: Mr. Kor Sokchea"}, {"coordinate": [133, 298, 433, 298, 433, 323, 133, 323], "text": "Phone & Telegram: 0964060587"}, {"coordinate": [132, 327, 477, 327, 477, 357, 132, 357], "text": "Email: soy.vitou.2821@rupp.edu.kh"}, {"coordinate": [130, 358, 865, 358, 865, 387, 130, 387], "text": "Generation 8, Class E4, Information Technology of Engineering Department"}, {"coordinate": [130, 388, 679, 388, 679, 418, 130, 418], "text": "Faculty of Engineering, Royal University of Phnom Penh"}] | |
train_src_test_image_178 | [{"coordinate": [16, 27, 498, 27, 498, 46, 16, 46], "text": "Transforming Handwritten Answer Assessment: A Multi-Modal"}, {"coordinate": [15, 51, 537, 51, 537, 70, 15, 70], "text": "Approach Combining Text Detection, Handwriting Recognition, and"}, {"coordinate": [16, 75, 155, 75, 155, 94, 16, 94], "text": "Language Models"}] | |
train_src_train_image_172 | [{"coordinate": [35, 60, 569, 60, 569, 102, 35, 102], "text": "ក្នុសដ្ឋកិច្ចនឹងចំនាយ ពីចំណូលរបស់ខ្លួនក្រោយពីដកពន្ធ ដែល"}, {"coordinate": [35, 102, 575, 102, 575, 137, 35, 137], "text": "ការកំណត់ពន្ធលើប្រាក់ចំណូល នឹងធ្វើឲ្យមានឥទ្ធិពលដល់ការ"}, {"coordinate": [35, 145, 131, 145, 131, 183, 35, 183], "text": "ប្រើប្រាស់។"}, {"coordinate": [35, 200, 348, 200, 348, 246, 35, 246], "text": "៤. ល្បឿននៃលុយ Velocity of Money"}, {"coordinate": [97, 259, 571, 259, 571, 303, 97, 303], "text": "Velocity នៃ Money ត្រូវបាន លោកហ្វីដមែនប្រើ"}, {"coordinate": [33, 303, 574, 303, 574, 343, 33, 343], "text": "សម្រាប់វិភាគសេដ្ឋកិច្ចរបស់គាត់ A Monetary History of"}, {"coordinate": [33, 354, 171, 354, 171, 378, 33, 378], "text": "United State។"}, {"coordinate": [255, 410, 347, 410, 347, 429, 255, 429], "text": "MV = PT"}, {"coordinate": [32, 449, 560, 449, 560, 490, 32, 490], "text": "ដែល M ជាការផ្គត់ផ្គង់រូបិយវត្ថុ V ជា Velocity P ជាថ្លៃក្នុងសេដ្ឋ"}, {"coordinate": [33, 493, 545, 493, 545, 533, 33, 533], "text": "កិច្ច T ជាចំនួន Transaction ក្នុសេដ្ឋកិច្ច។ ជាទូទៅ គេសរស"}, {"coordinate": [256, 553, 347, 553, 347, 572, 256, 572], "text": "MV = PY"}, {"coordinate": [31, 593, 562, 593, 562, 631, 31, 631], "text": "ដែល Y ជា GDP ។ បើ Velocity កើនឡើងមានន័យថា រូបិយវត្ថុ"}, {"coordinate": [31, 633, 406, 633, 406, 674, 31, 674], "text": "បានបម្រើឲ្យសកម្មភាពសេដ្ឋកិច្ចច្រើនឡើង។"}] | |
train_src_test_image_004 | [{"coordinate": [240, 191, 612, 191, 612, 223, 240, 223], "text": "Those who are skilled in combat"}, {"coordinate": [344, 232, 614, 232, 614, 266, 344, 266], "text": "do not become angered"}, {"coordinate": [240, 271, 616, 271, 616, 305, 240, 305], "text": "Those who are skilled at winning"}, {"coordinate": [381, 312, 622, 312, 622, 344, 381, 344], "text": "do not become afraid"}, {"coordinate": [197, 350, 262, 350, 262, 380, 197, 380], "text": "Thus"}, {"coordinate": [243, 389, 573, 389, 573, 420, 243, 420], "text": "The wise win before the fight"}, {"coordinate": [244, 428, 589, 428, 589, 458, 244, 458], "text": "While the ignorant fight to win."}, {"coordinate": [413, 509, 627, 509, 627, 536, 413, 536], "text": "O'Sensei Morihei Ueshiba."}] | |
train_src_test_image_027 | [{"coordinate": [506, 32, 661, 32, 661, 70, 506, 70], "text": "សូមគោរពជូន"}, {"coordinate": [137, 69, 1030, 69, 1030, 112, 137, 112], "text": "កម្មករនិយោជិតគ្រប់លំដាប់ថ្នាក់ នៃធនាគារ អេស៊ីលីដា ភីអិលស៊ី ការិយាល័យកណ្ដាល"}, {"coordinate": [385, 112, 781, 112, 781, 152, 385, 152], "text": "និងក្រុមហ៊ុនមូលបត្រ អេស៊ីលីដា ម.ក"}, {"coordinate": [129, 183, 939, 183, 939, 223, 129, 223], "text": "- គោលការណ៍នាំ និងនីតិវិធី ស្ដីពីការរៀបចំការិយាល័យ ធនាគារ អេស៊ីលីដា ភីអិលស៊ី។"}, {"coordinate": [129, 224, 1130, 224, 1130, 264, 129, 264], "text": "- កិច្ចសន្យាស្ដីពីការសម្អាតជញ្ជាំងកញ្ចក់ និងអាលុយកាបោន អគារការិយាល័យកណ្ដាល ចុះថ្ងៃទី១៩ ខែមីនា ឆ្នាំ២០២៥។"}, {"coordinate": [129, 262, 877, 262, 877, 302, 129, 302], "text": "- តម្រូវការចាំបាច់ ដើម្បីថែទាំ និងរក្សាសោភ័ណភាព-គុណភាពនៃអគារការិយាល័យ។"}, {"coordinate": [130, 304, 550, 304, 550, 342, 130, 342], "text": "- តួនាទី និងភារកិច្ចរបស់នាយកដ្ឋានរដ្ឋបាល។"}, {"coordinate": [213, 361, 1140, 361, 1140, 404, 213, 404], "text": "តបតាមកម្មវត្ថុ និងយោងខាងលើ នាយកដ្ឋានរដ្ឋបាល សូមអនុញ្ញាតជម្រាបជូនកម្មករនិយោជិតគ្រប់លំដាប់"}, {"coordinate": [166, 403, 1140, 403, 1140, 443, 166, 443], "text": "ថ្នាក់មេត្តាជ្រាប់ថា ៖ ក្រុមហ៊ុន QUAN DAT នឹងធ្វើការសម្អាតជញ្ជាំងកញ្ចក់ និងអាលុយកាបោន អគារថ្មី"}, {"coordinate": [168, 443, 1115, 443, 1115, 480, 168, 480], "text": "ការិយាល័យកណ្ដាលផ្នែកខាងក្រៅ រយៈពេល ៣៤ថ្ងៃ ដោយចាប់ផ្ដើមពីថ្ងៃទី០២ ខែមេសា ឆ្នាំ២០២៥ ។"}, {"coordinate": [211, 494, 1139, 494, 1139, 532, 211, 532], "text": "អាស្រ័យដូចបានជម្រាបជូនខាងលើ សូម លោកគ្រូ-អ្នកគ្រូ មេត្តាជ្រាបជាព័ត៌មាន និងយោគយល់អធ្យាស្រ័យ"}, {"coordinate": [168, 532, 363, 532, 363, 571, 168, 571], "text": "ករណីមានផលរំខាន។"}, {"coordinate": [212, 585, 911, 585, 911, 631, 212, 631], "text": "សូម លោកគ្រូ-អ្នកគ្រូ ទទូលនូវសេចក្ដីគោរព និងរាប់អានដ៏ស្មោះអំពីយើងខ្ញុំ។"}, {"coordinate": [668, 637, 1139, 637, 1139, 678, 668, 678], "text": "ថ្ងៃអង្គារ ០៤កើត ខែចេត្រ ឆ្នាំរោង ឆស័ក ព.ស.២៥៦៨"}, {"coordinate": [709, 677, 1101, 677, 1101, 718, 709, 718], "text": "រាជធានីភ្នំពេញ ថ្ងៃទី០១ ខែមេសា ឆ្នាំ២០២៥"}, {"coordinate": [811, 717, 1002, 717, 1002, 757, 811, 757], "text": "នាយកដ្ឋានរដ្ឋបាល"}, {"coordinate": [23, 184, 126, 184, 126, 223, 23, 223], "text": "យោង :"}] | |
train_src_train_image_036 | [{"coordinate": [60, 45, 461, 45, 461, 218, 60, 218], "text": "ចិត្តប្ដូរផ្ដាច់"}, {"coordinate": [58, 239, 460, 239, 460, 389, 58, 389], "text": "ចិត្តអប្រីយ៍"}, {"coordinate": [59, 399, 459, 399, 459, 517, 59, 517], "text": "ចូលចំណោម"}] | |
train_src_test_image_012 | [{"coordinate": [56, 13, 159, 13, 159, 29, 56, 29], "text": "VS BATTLES WIKI"}, {"coordinate": [10, 46, 273, 46, 273, 62, 10, 62], "text": "Now we have to guess timeframes, I will do a"}, {"coordinate": [10, 68, 266, 68, 266, 84, 10, 84], "text": "few and you tell me which you think is best:"}, {"coordinate": [10, 104, 263, 104, 263, 121, 10, 121], "text": "1 Second: 3500000m/1s = 3500000m/s ="}, {"coordinate": [10, 126, 149, 126, 149, 143, 10, 143], "text": "1.16c: Sub-relativistic"}, {"coordinate": [11, 163, 269, 163, 269, 179, 11, 179], "text": "5 Seconds: 3500000m/5s = 700000 m/s ="}, {"coordinate": [11, 186, 271, 186, 271, 203, 11, 203], "text": "Mach 2040.81633: Massively Hypersonic+"}, {"coordinate": [11, 223, 281, 223, 281, 239, 11, 239], "text": "10 Seconds: 3500000m/10s = 350000 m/s ="}, {"coordinate": [11, 246, 269, 246, 269, 262, 11, 262], "text": "Mach 1020.40816: Massively Hypersonic+"}, {"coordinate": [11, 283, 281, 283, 281, 298, 11, 298], "text": "20 Seconds: 3500000m/20s = 175000 m/s ="}, {"coordinate": [11, 305, 262, 305, 262, 320, 11, 320], "text": "Mach 510.204082: Massively Hypersonic"}, {"coordinate": [10, 341, 274, 341, 274, 357, 10, 357], "text": "30 Seconds: 3500000m/30s = 116666.6667"}, {"coordinate": [10, 364, 276, 364, 276, 381, 10, 381], "text": "m/s = Mach 340.136: Massively Hypersonic"}, {"coordinate": [10, 401, 272, 401, 272, 417, 10, 417], "text": "60 Seconds: 3500000m/60s = 58333.3333"}, {"coordinate": [11, 423, 250, 423, 250, 440, 11, 440], "text": "m/s = Mach 170: Massively Hypersonic"}, {"coordinate": [10, 461, 256, 461, 256, 476, 10, 476], "text": "So the values span over three speed tiers."}] | |
train_src_train_image_279 | [{"coordinate": [56, 22, 717, 22, 717, 39, 56, 39], "text": "tokens from the pretraining stage. To accommodate longer context, we increase the base frequency of"}, {"coordinate": [55, 38, 716, 38, 716, 57, 55, 57], "text": "rope position encoding to 250K following [AI23b]. We drop the maximum learning rate by a factor of"}, {"coordinate": [57, 57, 531, 57, 531, 75, 57, 75], "text": "10 compared to the pretraining stage and train for a total of 250B tokens."}, {"coordinate": [79, 76, 714, 76, 714, 93, 79, 93], "text": "To effectively evaluate the long-context capability of our model, it is essential to have a comprehensive"}, {"coordinate": [56, 93, 714, 93, 714, 111, 56, 111], "text": "evaluation framework with practical scenarios. While synthetic benchmarks like needle-in-a-haystack and"}, {"coordinate": [57, 111, 715, 111, 715, 129, 57, 129], "text": "RULER are preferred for their simplicity and control, our emphasis is on a diverse range of tasks that"}, {"coordinate": [56, 129, 716, 129, 716, 147, 56, 147], "text": "reflect real-world applications, such as reasoning across entire documents. We report the performance"}, {"coordinate": [56, 147, 716, 147, 716, 166, 56, 166], "text": "of phi-4 and other models on the tasks we selected from the HELMET [YGH+24] evaluation suite in"}, {"coordinate": [56, 166, 716, 166, 716, 184, 56, 184], "text": "Table 6 and outline our evaluation methods below. Note that results are average across 5 runs for each"}, {"coordinate": [57, 185, 123, 185, 123, 202, 57, 202], "text": "categories."}, {"coordinate": [76, 218, 715, 218, 715, 237, 76, 237], "text": "• Recall: The task involves retrieving the corresponding value from a randomly-generated long JSON"}, {"coordinate": [92, 236, 356, 236, 356, 254, 92, 254], "text": "file given a specific key (Metric: SubEM)"}, {"coordinate": [77, 266, 715, 266, 715, 284, 77, 284], "text": "• RAG: Answer questions based on many retrieved and shuffled Wikipedia documents. The datasets"}, {"coordinate": [92, 283, 716, 283, 716, 302, 92, 302], "text": "used for this task are NaturalQuestions, HotpotQA, and PopQA. Final results are average of all"}, {"coordinate": [93, 302, 263, 302, 263, 320, 93, 320], "text": "datasets (Metric: SubEM)"}, {"coordinate": [76, 332, 716, 332, 716, 350, 76, 350], "text": "• Re-rank: The task is to re-rank the top-10 documents given a query and many retrieved and"}, {"coordinate": [92, 350, 579, 350, 579, 368, 92, 368], "text": "shuffled documents. This uses the MSMARCO dataset (Metric: nDCG@10)"}, {"coordinate": [77, 380, 715, 380, 715, 398, 77, 398], "text": "• ICL: The task involves many-shot in-context learning with datasets such as TREC coarse, TREC"}, {"coordinate": [92, 398, 679, 398, 679, 417, 92, 417], "text": "fine, Banking77, NLU and CLINC150. Final results are average of all datasets (Metric: F1)"}, {"coordinate": [78, 427, 715, 427, 715, 445, 78, 445], "text": "• QA: Answer questions given a lengthy document. The dataset associated with this task is Narra-"}, {"coordinate": [93, 447, 325, 447, 325, 465, 93, 465], "text": "tiveQAv2 (Metric: GPT-40 scoring)"}, {"coordinate": [77, 476, 714, 476, 714, 494, 77, 494], "text": "• Summ: The task involves summarizing a lengthy legal document, and the dataset used is Multi-"}, {"coordinate": [93, 494, 315, 494, 315, 511, 93, 511], "text": "LexSum (Metric: GPT-40 scoring)"}] | |
train_src_train_image_278 | [{"coordinate": [56, 9, 716, 9, 716, 26, 56, 26], "text": "Figure 2: 5-shot MMLU score for phase 2 pretraining runs with 4 and 12 epochs of synthetic data. All models are"}, {"coordinate": [56, 25, 714, 25, 714, 42, 56, 42], "text": "trained for the same token horizon, thus the model with 4 epochs of synthetic has seen more (unique) web tokens."}, {"coordinate": [56, 40, 716, 40, 716, 57, 56, 57], "text": "We see that despite many epochs on synthetic data, we do not see overfitting behavior and in fact the 12 epoch"}, {"coordinate": [56, 57, 490, 57, 490, 71, 56, 71], "text": "models perform better than those that have seen more unique web tokens."}, {"coordinate": [235, 95, 280, 95, 280, 113, 235, 113], "text": "MMLU"}, {"coordinate": [372, 95, 418, 95, 418, 112, 372, 112], "text": "GSM8k"}, {"coordinate": [117, 124, 174, 124, 174, 137, 117, 137], "text": "Synthetic"}, {"coordinate": [244, 124, 272, 124, 272, 135, 244, 135], "text": "+0.8"}, {"coordinate": [312, 124, 339, 124, 339, 135, 312, 135], "text": "+4.0"}, {"coordinate": [67, 142, 224, 142, 224, 156, 67, 156], "text": "Synthetic +Web Rewrites"}, {"coordinate": [312, 143, 339, 143, 339, 155, 312, 155], "text": "+4.1"}, {"coordinate": [381, 125, 409, 125, 409, 135, 381, 135], "text": "+2.2"}, {"coordinate": [380, 143, 408, 143, 408, 154, 380, 154], "text": "+1.8"}, {"coordinate": [449, 123, 482, 123, 482, 136, 449, 136], "text": "+12.1"}, {"coordinate": [449, 141, 483, 141, 483, 155, 449, 155], "text": "+13.3"}, {"coordinate": [525, 122, 547, 122, 547, 136, 525, 136], "text": "0.0"}, {"coordinate": [575, 122, 603, 122, 603, 135, 575, 135], "text": "+5.0"}, {"coordinate": [629, 122, 659, 122, 659, 137, 629, 137], "text": "+4.9"}, {"coordinate": [522, 141, 550, 141, 550, 156, 522, 156], "text": "+3.0"}, {"coordinate": [629, 142, 656, 142, 656, 156, 629, 156], "text": "+8.1"}, {"coordinate": [57, 175, 716, 175, 716, 192, 57, 192], "text": "Table 3: Benchmark performance of 13B models (used for ablations only) trained on data mixtures containing"}, {"coordinate": [56, 191, 715, 191, 715, 208, 56, 208], "text": "no web data. The respective training tokens are either from synthetic sources, or an equal share of synthetic"}, {"coordinate": [56, 207, 715, 207, 715, 224, 56, 224], "text": "data and web rewrites. All numbers are reported relative to the performance of phi-3-medium, which has seen a"}, {"coordinate": [56, 224, 288, 224, 288, 238, 56, 238], "text": "combination of web and synthetic data."}, {"coordinate": [56, 266, 207, 266, 207, 284, 56, 284], "text": "3.2 Data Mixture"}, {"coordinate": [56, 295, 715, 295, 715, 313, 56, 313], "text": "To design our pretraining data mixture for a given training token budget, we search over different"}, {"coordinate": [56, 312, 715, 312, 715, 332, 56, 332], "text": "allocation of tokens coming from various sources, namely, 1) synthetic, 2) web rewrites5, 3) filtered web"}, {"coordinate": [57, 331, 715, 331, 715, 350, 57, 350], "text": "(divided into reasoning and knowledge-heavy portions), 4) targeted acquisitions and organic data (e.g.,"}, {"coordinate": [56, 349, 402, 349, 402, 368, 56, 368], "text": "academic data, books, and forums), and 5) code data."}, {"coordinate": [79, 367, 715, 367, 715, 384, 79, 384], "text": "We conducted ablations using a shorter token horizon of 1T tokens to derive the data mixture."}, {"coordinate": [56, 387, 715, 387, 715, 404, 56, 404], "text": "These ablations rely on our established result on the high-rank correlation of short training with longer"}, {"coordinate": [56, 404, 716, 404, 716, 421, 56, 421], "text": "training, up to the over-fitting saturation threshold of data sources. In addition we observe a high rank"}, {"coordinate": [56, 422, 715, 422, 715, 440, 56, 440], "text": "correlation between the performance of the 7B and 14B models on different data mixtures, given a large"}, {"coordinate": [56, 440, 714, 440, 714, 458, 56, 458], "text": "enough distance between the data mixtures. This allowed us to conduct the experiments at 7B scale and"}, {"coordinate": [56, 458, 715, 458, 715, 476, 56, 476], "text": "transfer the findings to phi-4. Among the numerous ablations, we highlight a few that show best insights"}, {"coordinate": [56, 476, 714, 476, 714, 494, 56, 494], "text": "on our data composition. Specifically, we freeze the ratio of tokens coming from targeted acquisitions"}, {"coordinate": [56, 495, 701, 495, 701, 512, 56, 512], "text": "and code categories, and change the ratio of tokens for the synthetic, web, and web rewrites clusters."}, {"coordinate": [79, 512, 715, 512, 715, 530, 79, 530], "text": "Table 4 summarizes the results for the hand-picked ablations, as compared with the data mixture"}, {"coordinate": [56, 530, 715, 530, 715, 547, 56, 547], "text": "that was used for the final training run. A uniform allocation of tokens among the three categories is"}, {"coordinate": [56, 548, 716, 548, 716, 566, 56, 566], "text": "suboptimal due to the higher quality of synthetic data and the only benchmark that shows a clear benefit"}, {"coordinate": [55, 567, 715, 567, 715, 584, 55, 584], "text": "from web data is TQA. While the synthetic-heavy variations on rows 2 and 3 of the table are marginally"}, {"coordinate": [56, 584, 715, 584, 715, 602, 56, 602], "text": "better than the chosen final data mixture, we decided to integrate the targeted and knowledge-heavy"}, {"coordinate": [55, 602, 715, 602, 715, 620, 55, 620], "text": "filtered web data sources to improve knowledge benchmarks (see Section 3.1) to balance all model"}, {"coordinate": [76, 645, 714, 645, 714, 662, 76, 662], "text": "5 Web rewrites is a sub-category of synthetic data that is substantially large and contains direct rewrites of web content."}, {"coordinate": [241, 140, 275, 140, 275, 157, 241, 157], "text": "+0.3"}, {"coordinate": [289, 93, 362, 93, 362, 113, 289, 113], "text": "MMLU pro"}, {"coordinate": [428, 94, 504, 94, 504, 111, 428, 111], "text": "Human-Eval"}, {"coordinate": [514, 95, 555, 95, 555, 111, 514, 111], "text": "ARCC"}, {"coordinate": [565, 93, 610, 93, 610, 111, 565, 111], "text": "MBPP"}, {"coordinate": [620, 94, 664, 94, 664, 111, 620, 111], "text": "MATH"}, {"coordinate": [675, 94, 708, 94, 708, 113, 675, 113], "text": "TQA"}, {"coordinate": [572, 140, 605, 140, 605, 156, 572, 156], "text": "+7.6"}, {"coordinate": [679, 140, 704, 140, 704, 157, 679, 157], "text": "-7.7"}, {"coordinate": [676, 121, 708, 121, 708, 138, 676, 138], "text": "-14.8"}] | |
train_src_test_image_001 | [{"coordinate": [355, 18, 491, 18, 491, 49, 355, 49], "text": "Zhuge Liang"}, {"coordinate": [345, 89, 761, 89, 761, 122, 345, 122], "text": "Those who are skilled in combat"}, {"coordinate": [345, 124, 739, 124, 739, 161, 345, 161], "text": "do notbecome angered, those"}, {"coordinate": [346, 161, 722, 161, 722, 197, 346, 197], "text": "who are skilled at winning do"}, {"coordinate": [345, 199, 713, 199, 713, 234, 345, 234], "text": "not become afraid. Thus the"}, {"coordinate": [345, 236, 763, 236, 763, 272, 345, 272], "text": "wise win before they fight, while"}, {"coordinate": [345, 271, 669, 271, 669, 309, 345, 309], "text": "the ignorant fight to win."}, {"coordinate": [367, 354, 482, 354, 482, 379, 367, 379], "text": "AZ QUQTES"}] | |
train_src_train_image_152 | [{"coordinate": [84, 20, 568, 20, 568, 65, 84, 65], "text": "M/V ជាអត្រានៃតម្លៃលើស Surplus Value។ បើ M/V មិនប្រែ"}, {"coordinate": [31, 66, 468, 66, 468, 109, 31, 109], "text": "ប្រួល និងចំណូលកើនឡើង ដូចនេះ C/V ត្រូវថយចុះ។"}, {"coordinate": [32, 119, 453, 119, 453, 167, 32, 167], "text": "៤. ទ្រឹស្តីកុម្មុយនិស្ត The Communist Manifesto"}, {"coordinate": [293, 175, 313, 175, 313, 195, 293, 195], "text": "១៨"}] | |
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train_src_train_image_280 | [{"coordinate": [43, 16, 704, 16, 704, 34, 43, 34], "text": "tokens from the pretraining stage. To accommodate longer context, we increase the base frequency of"}, {"coordinate": [43, 34, 705, 34, 705, 53, 43, 53], "text": "rope position encoding to 250K following [A123b]. We drop the maximum learning rate by a factor of"}, {"coordinate": [44, 52, 517, 52, 517, 70, 44, 70], "text": "10 compared to the pretraining stage and train for a total of 250B tokens."}, {"coordinate": [66, 70, 701, 70, 701, 88, 66, 88], "text": "To effectively evaluate the long-context capability of our model, it is essential to have a comprehensive"}, {"coordinate": [43, 88, 702, 88, 702, 106, 43, 106], "text": "evaluation framework with practical scenarios. While synthetic benchmarks like needle-in-a-haystack and"}, {"coordinate": [44, 106, 702, 106, 702, 124, 44, 124], "text": "RULER are preferred for their simplicity and control, our emphasis is on a diverse range of tasks that"}, {"coordinate": [43, 124, 703, 124, 703, 142, 43, 142], "text": "reflect real-world applications, such as reasoning across entire documents. We report the performance"}, {"coordinate": [43, 142, 703, 142, 703, 160, 43, 160], "text": "of phi-4 and other models on the tasks we selected from the HELMET [YGH+24] evaluation suite in"}, {"coordinate": [43, 161, 702, 161, 702, 178, 43, 178], "text": "Table 6 and outline our evaluation methods below. Note that results are average across 5 runs for each"}, {"coordinate": [43, 180, 111, 180, 111, 197, 43, 197], "text": "categories."}, {"coordinate": [63, 213, 701, 213, 701, 231, 63, 231], "text": "• Recall: The task involves retrieving the corresponding value from a randomly-generated long JSON"}, {"coordinate": [79, 231, 343, 231, 343, 249, 79, 249], "text": "file given a specific key (Metric: SubEM)"}, {"coordinate": [64, 261, 703, 261, 703, 279, 64, 279], "text": "• RAG: Answer questions based on many retrieved and shuffled Wikipedia documents. The datasets"}, {"coordinate": [79, 279, 703, 279, 703, 297, 79, 297], "text": "used for this task are NaturalQuestions, HotpotQA, and PopQA. Final results are average of all"}, {"coordinate": [79, 296, 248, 296, 248, 316, 79, 316], "text": "datasets (Metric: SubEM)"}, {"coordinate": [64, 327, 702, 327, 702, 345, 64, 345], "text": "• Re-rank: The task is to re-rank the top-10 documents given a query and many retrieved and"}, {"coordinate": [79, 345, 567, 345, 567, 363, 79, 363], "text": "shuffled documents. This uses the MSMARCO dataset (Metric: nDCG@10)"}, {"coordinate": [65, 375, 701, 375, 701, 393, 65, 393], "text": "• ICL: The task involves many-shot in-context learning with datasets such as TREC coarse, TREC"}, {"coordinate": [79, 393, 666, 393, 666, 411, 79, 411], "text": "fine, Banking77, NLU and CLINC150. Final results are average of all datasets (Metric: F1)"}, {"coordinate": [64, 423, 701, 423, 701, 442, 64, 442], "text": "• QA: Answer questions given a lengthy document. The dataset associated with this task is Narra-"}, {"coordinate": [79, 441, 313, 441, 313, 459, 79, 459], "text": "tiveQAv2 (Metric: GPT-40 scoring)"}, {"coordinate": [64, 472, 702, 472, 702, 489, 64, 489], "text": "• Summ: The task involves summarizing a lengthy legal document, and the dataset used is Multi-"}, {"coordinate": [80, 489, 305, 489, 305, 507, 80, 507], "text": "LexSum (Metric: GPT-40 scoring)"}] | |
train_src_train_image_021 | [{"coordinate": [138, 167, 281, 167, 281, 193, 138, 193], "text": "I CHOOSE"}, {"coordinate": [93, 207, 328, 207, 328, 223, 93, 223], "text": "TO LIVE BY CHOICE, NOT BY CHANCE"}, {"coordinate": [88, 229, 333, 229, 333, 244, 88, 244], "text": "TO BE MOTIVATED, NOT MANIPULATED"}, {"coordinate": [130, 251, 292, 251, 292, 266, 130, 266], "text": "TO BE USEFUL, NOT USED"}, {"coordinate": [101, 273, 320, 273, 320, 289, 101, 289], "text": "TO MAKE CHANGES, NOT EXCUSES"}, {"coordinate": [130, 296, 292, 296, 292, 311, 130, 311], "text": "TO EXCEL, NOT COMPETE"}, {"coordinate": [85, 318, 336, 318, 336, 332, 85, 332], "text": "I CHOOSE SELF-ESTEEM, NOT SELF-PITY"}, {"coordinate": [79, 340, 341, 340, 341, 356, 79, 356], "text": "I CHOOSE TO LISTEN TO MY INNER VOICE,"}, {"coordinate": [87, 362, 334, 362, 334, 377, 87, 377], "text": "NOT THE RANDOM OPINION OF OTHERS"}, {"coordinate": [117, 384, 303, 384, 303, 402, 117, 402], "text": "I CHOOSE TO BE ME."}] | |
train_src_train_image_016 | [{"coordinate": [232, 34, 432, 34, 432, 57, 232, 57], "text": "TheWisdomWarrior.com"}, {"coordinate": [55, 415, 414, 415, 414, 472, 55, 472], "text": "Victory is always"}, {"coordinate": [71, 475, 398, 475, 398, 528, 71, 528], "text": "possible for the"}, {"coordinate": [33, 536, 435, 536, 435, 585, 33, 585], "text": "person who refuses"}, {"coordinate": [71, 594, 399, 594, 399, 643, 71, 643], "text": "to stop fighting."}, {"coordinate": [178, 635, 293, 635, 293, 658, 178, 658], "text": "Napoleon Hill"}] | |
train_src_test_image_037 | [{"coordinate": [18, 4, 777, 4, 777, 58, 18, 58], "text": "តើអ្នកស្រឡាញ់ពុម្ពអក្សរលេខមួយណា សម្រាប់ប្រើក្នុងសៀវភៅអាន?"}, {"coordinate": [16, 103, 716, 103, 716, 155, 16, 155], "text": "១. តើអ្នកចូលចិត្តពុម្ពអក្សរមួយណា? សូមប្រាប់ឲ្យយើងដឹងផង។"}, {"coordinate": [16, 155, 719, 155, 719, 206, 16, 206], "text": "២. តើអ្នកចូលចិត្តពុម្ពអក្សរមួយណា? សូមប្រាប់ឲ្យយើងដឹងផង។"}, {"coordinate": [17, 206, 732, 206, 732, 258, 17, 258], "text": "៣. តើអ្នកចូលចិត្តពុម្ពអក្សរមួយណា? សូមប្រាប់ឲ្យយើងដឹងផង។"}, {"coordinate": [20, 263, 770, 263, 770, 322, 20, 322], "text": "៤. តើអ្នកចូលចិត្តពុម្ពអក្សរមួយណា? សូមប្រាប់ឲ្យយើងដឹងផង។"}, {"coordinate": [18, 342, 750, 342, 750, 395, 18, 395], "text": "៥. តើអ្នកចូលចិត្តពុម្ពអក្សរមួយណា? សូមប្រាប់ឲ្យយើងដឹងផង។"}, {"coordinate": [17, 396, 730, 396, 730, 448, 17, 448], "text": "៦. តើអ្នកចូលចិត្តពុម្ពអក្សរមួយណា? សូមប្រាប់ឲ្យយើងដឹងផង។"}, {"coordinate": [18, 458, 687, 458, 687, 507, 18, 507], "text": "៧. តើអ្នកចូលចិត្តពុម្ពអក្សរមួយណា? សូមប្រាប់ឲ្យយើងដឹងផង។"}] | |
train_src_train_image_300 | [{"coordinate": [310, 42, 485, 42, 485, 63, 310, 63], "text": "Kingdom of Cambodia"}, {"coordinate": [316, 63, 481, 63, 481, 83, 316, 83], "text": "Nation Religion King"}, {"coordinate": [249, 232, 547, 232, 547, 252, 249, 252], "text": "Ministry of Education, Youth and Sport"}, {"coordinate": [109, 251, 686, 251, 686, 273, 109, 273], "text": "Cambodia- Second Higher Education Improvement Project (HEIP2) (P180664)"}, {"coordinate": [301, 276, 494, 276, 494, 293, 301, 293], "text": "IDA Credit No: 76340-KH"}, {"coordinate": [253, 319, 543, 319, 543, 339, 253, 339], "text": "GENERAL PROCUREMENT NOTICE"}, {"coordinate": [54, 365, 744, 365, 744, 386, 54, 386], "text": "The Second Higher Education Improvement Project (HEIP-2) is funded by the International"}, {"coordinate": [54, 389, 743, 389, 743, 410, 54, 410], "text": "Development Association (IDA) Credit of US$80 million equivalent and US$1.7 million from the"}, {"coordinate": [54, 413, 743, 413, 743, 433, 54, 433], "text": "Royal Government of Cambodia. The project is expected to be implemented over a six-year"}, {"coordinate": [53, 437, 743, 437, 743, 458, 53, 458], "text": "period, starting from 2025 and ending in 2030. The project design will continue to strengthen"}, {"coordinate": [54, 460, 745, 460, 745, 480, 54, 480], "text": "the capacity of HEIS and the higher education subsector to advance HEIs to meet the goals set"}, {"coordinate": [54, 483, 742, 483, 742, 505, 54, 505], "text": "in the Pentagonal Strategy. Specifically, the design will (1) improve the quality of academic"}, {"coordinate": [53, 508, 744, 508, 744, 528, 53, 528], "text": "programs and research at the targeted HEIs in the areas of Science, Technology, Engineering,"}, {"coordinate": [53, 531, 743, 531, 743, 553, 53, 553], "text": "and Mathematics (STEM), and other relevant majors to supply graduates with relevant skills to"}, {"coordinate": [54, 556, 743, 556, 743, 577, 54, 577], "text": "meet market demands, (2) increase equitable access to higher education, and (3) strengthen the"}, {"coordinate": [53, 577, 464, 577, 464, 599, 53, 599], "text": "governance systems of targeted HEIs and the sub-sector."}, {"coordinate": [54, 603, 653, 603, 653, 623, 54, 623], "text": "The Second Higher Education Improvement Project comprises the following Parts:"}, {"coordinate": [61, 627, 742, 627, 742, 647, 61, 647], "text": "1. Component 1: Improving quality and relevance of academic programs and research: Sub-"}, {"coordinate": [79, 649, 744, 649, 744, 670, 79, 670], "text": "component 1.1: Improving the quality and relevance of academic programs; Sub-component"}, {"coordinate": [80, 674, 742, 674, 742, 695, 80, 695], "text": "1.2: Improving quality and relevance of research; Sub-component 1.3: Strengthening"}, {"coordinate": [80, 698, 258, 698, 258, 717, 80, 717], "text": "institutional governance"}, {"coordinate": [59, 721, 743, 721, 743, 742, 59, 742], "text": "2. Component 2: Strengthening higher education sectoral governance and research"}, {"coordinate": [80, 740, 742, 740, 742, 769, 80, 769], "text": "management capacity: Sub-component 2.1: Strengthening higher education sectoral"}, {"coordinate": [79, 768, 743, 768, 743, 789, 79, 789], "text": "governance, Sub-component 2.2: Building research management capacity, and Sub-"}, {"coordinate": [79, 793, 598, 793, 598, 813, 79, 813], "text": "component 2.3: Strengthening project management and evaluation, and"}, {"coordinate": [59, 813, 570, 813, 570, 839, 59, 839], "text": "3. Component 3: Contingent emergency response component (CERC)."}, {"coordinate": [54, 840, 629, 840, 629, 861, 54, 861], "text": "The Second Higher Education Improvement Project will procure the following:"}, {"coordinate": [200, 911, 291, 911, 291, 930, 200, 930], "text": "Description"}, {"coordinate": [70, 963, 243, 963, 243, 980, 70, 980], "text": "Procurement of Works"}, {"coordinate": [68, 982, 422, 982, 422, 1004, 68, 1004], "text": "Construction of new buildings for complex"}, {"coordinate": [70, 1004, 423, 1004, 423, 1024, 70, 1024], "text": "building, industrial 4.0 and technology transfer,"}, {"coordinate": [70, 1025, 424, 1025, 424, 1045, 70, 1045], "text": "and Industrial Linkage Center, student"}, {"coordinate": [70, 1046, 425, 1046, 425, 1066, 70, 1066], "text": "dormitories Training and Incubation Building"}, {"coordinate": [69, 1065, 424, 1065, 424, 1086, 69, 1086], "text": "and Renovation for Small Building and Lab in 9"}, {"coordinate": [70, 1087, 426, 1087, 426, 1107, 70, 1107], "text": "Higher Education Institutes: Royal University of"}, {"coordinate": [438, 882, 515, 882, 515, 900, 438, 900], "text": "Estimated"}, {"coordinate": [457, 903, 496, 903, 496, 918, 457, 918], "text": "Cost"}, {"coordinate": [446, 920, 508, 920, 508, 940, 446, 940], "text": "(In US$"}, {"coordinate": [444, 941, 509, 941, 509, 960, 444, 960], "text": "million)"}, {"coordinate": [654, 891, 729, 891, 729, 908, 654, 908], "text": "Domestic"}, {"coordinate": [532, 903, 633, 903, 633, 917, 532, 917], "text": "Procurement"}, {"coordinate": [551, 920, 614, 920, 614, 938, 551, 938], "text": "Method"}, {"coordinate": [650, 912, 733, 912, 733, 929, 650, 929], "text": "Preference"}, {"coordinate": [455, 984, 497, 984, 497, 1001, 455, 1001], "text": "36.80"}, {"coordinate": [529, 985, 572, 985, 572, 1004, 529, 1004], "text": "Open"}, {"coordinate": [678, 985, 705, 985, 705, 999, 678, 999], "text": "No"}, {"coordinate": [529, 1004, 631, 1004, 631, 1022, 529, 1022], "text": "International,"}, {"coordinate": [529, 1026, 572, 1026, 572, 1044, 529, 1044], "text": "Open"}, {"coordinate": [529, 1045, 597, 1045, 597, 1063, 529, 1063], "text": "National"}] | |
train_src_train_image_293 | [{"coordinate": [60, 19, 356, 19, 356, 40, 60, 40], "text": "Corrected LaTeX Abstract Snippet"}, {"coordinate": [33, 53, 464, 53, 464, 72, 33, 72], "text": "Update the line in your abstract where \"dataset\" appears like this:"}, {"coordinate": [47, 93, 76, 93, 76, 106, 47, 106], "text": "latex"}, {"coordinate": [48, 123, 593, 123, 593, 152, 48, 152], "text": "មិនត្រឹមតែភាពខ្វះខាតនៃ {\\englishfont dataset} សម្រាប់ ឲ្យម៉ូដែលរៀនប៉ុណ្ណោះ ទេ ..."}, {"coordinate": [60, 194, 251, 194, 251, 214, 60, 214], "text": "Full Replacement Line"}, {"coordinate": [34, 229, 92, 229, 92, 247, 34, 247], "text": "Original:"}, {"coordinate": [48, 266, 76, 266, 76, 281, 48, 281], "text": "latex"}, {"coordinate": [48, 298, 547, 298, 547, 328, 48, 328], "text": "មិនត្រឹមតែភាពខ្វះខាតនៃ ទិន្នន័យ (dataset) សម្រាប់ ឲ្យម៉ូដែលរៀនប៉ុណ្ណោះ ទេ ..."}, {"coordinate": [33, 352, 124, 352, 124, 370, 33, 370], "text": "Replace with:"}, {"coordinate": [48, 392, 76, 392, 76, 406, 48, 406], "text": "latex"}, {"coordinate": [636, 92, 666, 92, 666, 108, 636, 108], "text": "Copy"}, {"coordinate": [688, 90, 712, 90, 712, 109, 688, 109], "text": "Edit"}, {"coordinate": [635, 265, 665, 265, 665, 283, 635, 283], "text": "Copy"}, {"coordinate": [636, 392, 664, 392, 664, 408, 636, 408], "text": "Copy"}, {"coordinate": [46, 422, 593, 422, 593, 452, 46, 452], "text": "មិនត្រឹមតែភាពខ្វះខាតនៃ {\\englishfont_dataset} សម្រាប់ ឲ្យម៉ូដែលរៀនប៉ុណ្ណោះ ទេ ..."}, {"coordinate": [33, 477, 668, 477, 668, 496, 33, 496], "text": "This will render \"dataset\" in Times New Roman (or whatever your \\englishfont is), maintaining"}, {"coordinate": [32, 499, 512, 499, 512, 521, 32, 521], "text": "consistency in style for English technical terms inside a Khmer paragraph."}, {"coordinate": [33, 531, 579, 531, 579, 554, 33, 554], "text": "Let me know if you want to apply the same style for other English keywords as well."}, {"coordinate": [688, 265, 712, 265, 712, 281, 688, 281], "text": "Edit"}, {"coordinate": [687, 390, 714, 390, 714, 406, 687, 406], "text": "Edit"}] | |
train_src_train_image_074 | [{"coordinate": [9, 5, 713, 5, 713, 26, 9, 26], "text": "# ==============================================================="}, {"coordinate": [10, 32, 420, 32, 420, 50, 10, 50], "text": "# Global hotkeys (cannot conflict with other hotkeys)"}, {"coordinate": [11, 58, 66, 58, 66, 72, 11, 72], "text": "confirm"}, {"coordinate": [72, 65, 81, 65, 81, 69, 72, 69], "text": "="}, {"coordinate": [89, 57, 264, 57, 264, 74, 89, 74], "text": "['enter', 'right', '1']"}, {"coordinate": [11, 82, 159, 82, 159, 99, 11, 99], "text": "quit = ['q', 'esc']"}, {"coordinate": [11, 133, 88, 133, 88, 145, 11, 145], "text": "# movement"}, {"coordinate": [12, 153, 175, 153, 175, 173, 12, 173], "text": "list_up = ['up', 'k']"}, {"coordinate": [12, 180, 205, 180, 205, 197, 12, 197], "text": "list_down = ['down', 'j']"}, {"coordinate": [11, 207, 173, 207, 173, 221, 11, 221], "text": "page_up = ['pgup','']"}, {"coordinate": [9, 228, 206, 228, 206, 246, 9, 246], "text": "page_down = ['pgdown', '']"}, {"coordinate": [11, 253, 168, 253, 168, 269, 11, 269], "text": "# file panel control"}, {"coordinate": [11, 278, 268, 278, 268, 296, 11, 296], "text": "create_new_file_panel = ['n', '']"}, {"coordinate": [11, 302, 229, 302, 229, 320, 11, 320], "text": "close_file_panel = ['w', '']"}, {"coordinate": [11, 324, 244, 324, 244, 344, 11, 344], "text": "next_file_panel = ['tab', 'L']"}, {"coordinate": [11, 349, 329, 349, 329, 369, 11, 369], "text": "previous_file_panel = ['shift+left', 'H']"}, {"coordinate": [11, 373, 299, 373, 299, 394, 11, 394], "text": "toggle_file_preview_panel = ['f', '']"}, {"coordinate": [9, 399, 274, 399, 274, 419, 9, 419], "text": "open_sort_options_menu = ['o', '']"}, {"coordinate": [11, 423, 251, 423, 251, 442, 11, 442], "text": "toggle_reverse_sort = ['R', '']"}, {"coordinate": [10, 449, 120, 449, 120, 467, 10, 467], "text": "# change focus"}, {"coordinate": [10, 472, 259, 472, 259, 491, 10, 491], "text": "focus_on_process_bar = ['p', '']"}, {"coordinate": [11, 497, 228, 497, 228, 516, 11, 516], "text": "focus_on_sidebar = ['s', '']"}, {"coordinate": [11, 521, 236, 521, 236, 541, 11, 541], "text": "focus_on_metadata = ['m', '']"}, {"coordinate": [10, 548, 275, 548, 275, 565, 10, 565], "text": "# create file/directory and rename"}, {"coordinate": [11, 570, 313, 570, 313, 589, 11, 589], "text": "file_panel_item_create = ['ctrl+n', '']"}, {"coordinate": [10, 597, 313, 597, 313, 614, 10, 614], "text": "file_panel_item_rename = ['ctrl+r', '']"}, {"coordinate": [11, 620, 144, 620, 144, 636, 11, 636], "text": "# file operations"}, {"coordinate": [11, 644, 221, 644, 221, 663, 11, 663], "text": "copy items = ['ctrl+c', '']"}, {"coordinate": [11, 666, 216, 666, 216, 688, 11, 688], "text": "cut_items = ['ctrl+x', '']"}, {"coordinate": [11, 693, 305, 693, 305, 713, 11, 713], "text": "paste items = ['ctrl+v', 'ctrl+w', '']"}, {"coordinate": [11, 718, 313, 718, 313, 736, 11, 736], "text": "delete_items = ['ctrl+d', 'delete', '']"}, {"coordinate": [10, 743, 183, 743, 183, 762, 10, 762], "text": "# compress and extract"}, {"coordinate": [11, 768, 235, 768, 235, 785, 11, 785], "text": "extract_file = ['ctrl+e', '']"}, {"coordinate": [11, 792, 243, 792, 243, 812, 11, 812], "text": "compress_file = ['ctrl+a', '']"}, {"coordinate": [11, 816, 73, 816, 73, 832, 11, 832], "text": "# editor"}, {"coordinate": [10, 841, 267, 841, 267, 859, 10, 859], "text": "open_file_with_editor = ['e', '']"}, {"coordinate": [10, 864, 367, 864, 367, 884, 10, 884], "text": "open_current_directory_with_editor = ['E', '']"}] |
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SoyVitou/Khmer-Text-Detection-0.2k
Khmer OCR dataset for scene text detection + transcription.
This dataset is packaged as a Hugging Face dataset using a single Parquet file:
train/metadata.parquet
✅ The image column is stored as embedded bytes inside the Parquet, so load_dataset() works without downloading a separate images folder.
Dataset format
Each row contains:
id(string): sample idimage(image): image object (decoded bydatasets)annotation(string): JSON-encoded list of text instances, each with:coordinate: 8 integers[x1,y1,x2,y2,x3,y3,x4,y4](quadrilateral polygon)text: transcription string
Example annotation (decoded):
[
{"coordinate": [76,146,453,146,453,199,76,199], "text": "..." },
{"coordinate": [27,195,400,195,400,240,27,240], "text": "..." }
]
Load with 🤗 Datasets
from datasets import load_dataset
import json
ds = load_dataset("SoyVitou/Khmer-Text-Detection-0.2k", split="train")
ex = ds[0]
img = ex["image"] # PIL image
ann = json.loads(ex["annotation"]) # list of dicts
print(ex["id"])
print(img.size)
print(ann[0])
Notes
- Coordinates are provided as a quadrilateral (4 points) in pixel space.
- annotation is stored as JSON text to ensure maximum compatibility with the Hub viewer and datasets.
This dataset was prepared by Mr. Soy Vitou
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