input
stringlengths 371
1.53k
| output
stringclasses 1
value | task
stringclasses 1
value |
|---|---|---|
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] classname :: (scope resolution operator) and the staticfunction();\n[Hindi] श्रेणीः(स्कोप रिज़ॉल्यूशन ऑपरेटर) और स्टैटिसफंक्शन (),\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] If you are an Ubuntu Linux OS user, use these tutorials to install DSpace and customize it.\n[Hindi] यदि आप उबुन्टू लिनक्स ओएस उपयोगकर्ता हैं, तो डी-स्पेस को स्थापित करने और इसे अनुकूलित करने के लिए इन ट्यूटोरियल का उपयोग करें।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Let us start the server to see the changes. Switch to the terminal. Type export FLASK_APP hello underscore flask dot py And press Enter.\n[Hindi] परिवर्तनों को देखने के लिए हम सर्वर प्रारंभ करते हैं. टर्मिनल पर स्विच करें. निर्यात FLASK _ APP hello टाइप करें और फ्लास्क डॉट py को रेखांकित करें और Enter दबाएं.,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So, the θ which produce is basically ‘PipedOutput Stream’ and another thread which consumes is basically called ‘pipedInputStream’, So there are two stream it is ‘Input Stream’, ‘PipedInputStream’.\n[Hindi] तो, जो मूल रूप से 'पाइपड आउटपुट स्ट्रीम' का उत्पादन करता है और एक और थ्रेड जो उपभोग करता है उसे मूल रूप से 'पाइपड इनपुट स्ट्रीम' कहा जाता है, इसलिए दो स्ट्रीम हैं यह 'इनपुट स्ट्रीम', 'पाइपड इनपुट स्ट्रीम' है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Anyway, so you can check with different situation you can right bring to this program and then you can test that your program is working and this basically completes the linked list queue implementation using linked list.\n[Hindi] वैसे भी, इसलिए आप अलग-अलग स्थिति के साथ जांच कर सकते हैं कि आप इस कार्यक्रम में ला सकते हैं और फिर आप परीक्षण कर सकते हैं कि आपका कार्यक्रम काम कर रहा है और यह मूल रूप से लिंक की गई सूची कतार कार्यान्वयन को पूरा करता है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Enter the command, load space in single quotes, multiplot.dem.\n[Hindi] कमांड भरें, एकल उद्धरण चिह्नों, multiplot. dem में जगह लोड करें.,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Now, here you can see another collection 'event1' which is initially empty and we add all the elements which are ordered there, add(2) into this 'event1'.\n[Hindi] अब, यहां आप एक और संग्रह 'इवेंट 1' देख सकते हैं जो शुरू में खाली है और हम सभी तत्वों को जोड़ते हैं जो वहां ऑर्डर किए गए हैं, इस 'इवेंट 1' में (2) जोड़ते हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Problems with open source software are- Good documents are missing\n[Hindi] ओपन सोर्स सॉफ्टवेयर के साथ समस्याएं हैं-अच्छे दस्तावेज गायब हैं,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So, it is very early, in the maybe very beginning when the mathematics grows in different application and that time Euler.\n[Hindi] तो, यह बहुत जल्दी है, शायद बहुत शुरुआत में जब गणित विभिन्न अनुप्रयोगों में बढ़ता है और उस समय यूलर।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] The output says, Ran 2 tests. assertEqual function in method test_was_created_recently returns TRUE. As the two arguments passed are equal, the 2nd test also ran successfully.\n[Hindi] आउटपुट कहता है, “Ran 2 tests. asserteequal function in method test _ was _ created _ recents returns TRUE.,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Let us move and arrange the components to create an RC low pass circuit.\n[Hindi] आइए हम एक आरसी लो पास सर्किट बनाने के लिए घटकों को स्थानांतरित और व्यवस्थित करें।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] She graduated in Aeronautics Sciences (University 'Federico II', Naples) at the Accademia Aeronautica in Pozzuoli, becoming one of the first women to be a lieutenant and fighter pilot in the Italian Air Force.\n[Hindi] वह न्यूजीलैंड में एसीओएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडिएडियन में स्विचोडिएडिएडिएड (Federico II) में स्नातक किया गया था, इटली एयर फोर्स में पहली महिला से एक ल्यूटेंट और शत्रुता वाला पिल बन गया था।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] OpenIPSL provides an open source alternative for power system simulations It can have several possible typical test networks for research and teaching purpose.\n[Hindi] ओपनआईपीएसएल पावर सिस्टम सिमुलेशन के लिए एक ओपन सोर्स विकल्प प्रदान करता है इसमें अनुसंधान और शिक्षण उद्देश्य के लिए कई संभावित विशिष्ट परीक्षण नेटवर्क हो सकते हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Delete the lines on the canvas.\n[Hindi] कैनवास पर लाइनों को मिटाएँ.,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Chemcollective Virtual labs interface opens.\n[Hindi] रासायनिक सामूहिक वर्चुअल लैब इंटरफेस खुलता है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Now, here is the formula by which you can efficiently store the array elements starting from the M th memory location, the sparse elements to be there.\n[Hindi] अब, यहां वह सूत्र है जिसके द्वारा आप M वें मेमोरी स्थान से शुरू होने वाले ऐरे तत्वों को कुशलता से संग्रहीत कर सकते हैं, वहां होने वाले विरल तत्व।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Now on the map, we can see that the two Polygon features are in different color.\n[Hindi] अब मानचित्र पर, हम देख सकते हैं कि दो बहुभुज विशेषताएं अलग-अलग रंग में हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] To select a particular function, just press Enter.\n[Hindi] किसी विशेष फंक्शन का चयन करने के लिए, सिर्फ एंटर दबाएं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Assign pin PA0 to the Coil YLED.\n[Hindi] कॉइल वाईएलईडी को पिन पीए0 असाइन करें।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] At the end of the Basic level of the Draw series, you can create a similar diagram by yourself.\n[Hindi] ड्रॉ श्रृंखला के बेसिक लेवल के अंत में, आप स्वयं एक समान आरेख बना सकते हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] We were discussing the different views that can be documented, the different diagrams supported by UML using which the views can be documented and so on.\n[Hindi] हम उन विभिन्न विचारों पर चर्चा कर रहे थे जिन्हें प्रलेखित किया जा सकता है, यूएमएल द्वारा समर्थित विभिन्न चित्र जिसका उपयोग करके विचारों को प्रलेखित किया जा सकता है आदि।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Let us explore View this Journal Entry option by clicking on it.\n[Hindi] आइए इस जर्नल एंट्री विकल्प को देखने के लिए इस पर क्लिक करें।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] It asks for pin, enter the pin, enter the amount and, then it confirmed and it dispenses the cash.\n[Hindi] यह पिन मांगता है, पिन दर्ज करता है, राशि दर्ज करता है और फिर यह पुष्टि करता है और यह नकदी वितरित करता है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] He unsuccessfully contested the 2006 Assembly election in Tamil Nadu from Perambur as a candidate of the Janata Party.\n[Hindi] उन्होंने 2006 में प्रतिलिपिंग पार्टी के उम्मीदवार के रूप में प्रतिलिपि के रूप में प्रतिलिपि के रूप में प्रतिलिपि के रूप में प्रतिलिपि के चुनाव में असफलता से विरोध किया।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So what the number of bytes available for further reading is.\n[Hindi] तो आगे पढ़ने के लिए उपलब्ध बाइट्स की संख्या क्या है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] The government-administered Gibraltar Port Authority was founded in 1806.\n[Hindi] यूरोपीय सरकार ने 1806 में ब्रिटेन के बंदरगाह की स्थापना की।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] where 'x' one 'x' two 'x' three are all greater than or equal to zero\n[Hindi] जहां 'x' एक 'x' दो 'x' तीन सभी शून्य से अधिक या बराबर हैं,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So, these are the exception basically to make the program reliable and this is important because you are dealing with different source and targets of input and output.\n[Hindi] इसलिए, ये अपवाद मूल रूप से कार्यक्रम को विश्वसनीय बनाने के लिए हैं और यह महत्वपूर्ण है क्योंकि आप इनपुट और आउटपुट के विभिन्न स्रोत और लक्ष्यों से निपट रहे हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Here, color is command word with argument as yellow and the target is all leucines in the structure.\n[Hindi] यहां, पीले के रूप में तर्क के साथ रंग कमांड शब्द है और लक्ष्य संरचना में सभी ल्यूसिन हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] It takes an additional vector cos of x as an input to draw the second line in the plot.\n[Hindi] यह प्लॉट में दूसरी रेखा खींचने के लिए इनपुट के रूप में x का एक अतिरिक्त वेक्टर cos लेता है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Then type help and press Enter.\n[Hindi] इसके बाद हेल्प टाइप करें और Enter पर क्लिक करें।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So, these are the method which basically return the values of x and y which is there for the generic elements.\n[Hindi] तो, ये वह विधि हैं जो मूल रूप से x और y के मूल्यों को लौटाती हैं जो सामान्य तत्वों के लिए है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] This will open an empty Movie project on your screen.\n[Hindi] इससे आपके स्क्रीन पर एक खाली मूवी प्रोजेक्ट खुलेगा।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Double click on the freeplane icon. Now we have opened the installed freeplane software.\n[Hindi] फ्रीप्लेन आइकन पर डबल क्लिक करें। अब हमने इंस्टॉल किया हुआ फ्री प्लेन सॉफ्टवेयर खोल दिया है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] To set the border I will add some properties. Inside the div tag, next to background-color property, type the code as shown.\n[Hindi] किनारा सेट करने के लिए मैं कुछ गुण जोडूंगा. डिव टैग के अंदर, पृष्ठभूमि रंग गुण के बगल में, जैसा दिखाया गया है कोड टाइप करें.,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] It can store any value string integer, double or even the student type where the name, roll number, marks, whatever it is there because your ‘system.out.println’ method is very powerful it can print anything and anything as the form of a string actually.\n[Hindi] यह किसी भी मूल्य स्ट्रिंग पूर्णांक, डबल या यहां तक कि छात्र प्रकार को भी संग्रहीत कर सकता है, जहां नाम, रोल नंबर, अंक, जो कुछ भी हो, क्योंकि आपका 'system. out. println' तरीका बहुत शक्तिशाली है यह वास्तव में स्ट्रिंग के रूप में कुछ भी और कुछ भी प्रिंट कर सकता है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Wait until it finishes all the updates.\n[Hindi] सभी अपडेट्स के पूरा होने तक इंतजार करें।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Open the Tool panel and move the map to fit in the window.\n[Hindi] टूल पैनल खोलें और विंडो में फिट होने के लिए नक्शे को खिसकाएं.,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] If the ADC value is less than 800, turn on the fan and turn off the heating element.\n[Hindi] यदि एडीसी मूल्य 800 से कम है, तो पंखे को चालू करें और हीटिंग तत्व को बंद करें।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So those things are can be taken place here also.\n[Hindi] तो वो चीजें यहां भी हो सकती हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Fellow wrestlers also paid tribute to Luna.\n[Hindi] साथियों ने चंद्रमा को भी सम्मानित किया।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Now this is the second case we have to delete 45, 45 as only the left child so it does not have any right child so we can have the case2 and case3 as you can see it has both left child as well as right child.\n[Hindi] अब यह दूसरा मामला है जिसे हमें 45,45 को केवल बाएं बच्चे के रूप में हटाना है, इसलिए इसका कोई भी दाहिना बच्चा नहीं है, इसलिए हमारे पास केस 2 और केस 3 हो सकता है क्योंकि आप देख सकते हैं कि इसमें छोड़ दिया गया बच्चा और दाहिना बच्चा दोनों हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Notice the output shows testfile.txt file.\n[Hindi] ध्यान दें कि आउटपुट testfile. txt फ़ाइल दिखाता है.,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Next we have to create a database for FrontAccounting.\n[Hindi] आगे हमें FrontAccounting के लिए Database बनाना है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Then remove is very similar to the poll again, it used to retrieve and remove the first element of a list.\n[Hindi] फिर हटाना फिर से मतदान के समान है, यह एक सूची के पहले तत्व को पुनर्प्राप्त करता है और हटाता है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] There are some default Android apps here like - Clock, Calendar, Calculator, Browser, Email, Music, Search, Device Settings and many more.\n[Hindi] इसमें क्लॉक, कैलेंडर, कैलकुलेटर, ब्राउजर, ई-मेल, म्यूजिक, सर्च, डिवाइस सेटिंग्स और कई अन्य डिफॉल्ट एंड्रॉयड ऐप हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So that we can have it so that the map framework for which we can have all those things automatically we don’t have to bother about how this has code, how it can be generated how it can be used and whatever it is there.\n[Hindi] ताकि हमारे पास यह हो सके कि जिस map framework के लिए हम स्वचालित रूप से उन सभी चीजों को प्राप्त कर सकते हैं, हमें इस बात की चिंता करने की आवश्यकता नहीं है कि इसका कोड कैसे है, इसे कैसे जेनरेट किया जा सकता है, इसका उपयोग कैसे किया जा सकता है और जो कुछ भी है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Overall this collection are stored in a very systematic manner for which Java developer proposed or introduced a very nice concept that is called the collection framework concept.\n[Hindi] कुल मिलाकर इस संग्रह को बहुत व्यवस्थित तरीके से संग्रहीत किया जाता है जिसके लिए जावा डेवलपर ने एक बहुत अच्छी अवधारणा प्रस्तावित की या पेश की जिसे कलेक्शन फ्रेमवर्क अवधारणा कहा जाता है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] If you are not connected to internet then click on Open a File icon on the tool-bar.\n[Hindi] यदि आप इंटरनेट से कनेक्ट नहीं हैं तो टूल-बार पर फाइल आइकन खोलें पर क्लिक करें।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Now, let us decide in what way queue is different from the other data structure that we have learned so far.\n[Hindi] अब, हम तय करते हैं कि किस तरह से कतार अन्य डेटा संरचना से अलग है जो हमने अब तक सीखी है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Kinematic eddy viscosity is a dependent variable.\n[Hindi] काइनेमैटिक एड्डी विस्कोसिटी एक आश्रित चर है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] In this network, Protein A undergoes state transition to Protein B , under catalysis of Protein C.\n[Hindi] इस नेटवर्क में प्रोटीन ए, प्रोटीन सी के उत्प्रेरण के तहत, प्रोटीन बी में राज्य संक्रमण से गुजरता है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Now here we can consider more examples regarding how the ‘HashSet’ can be created within already collection at hand.\n[Hindi] अब हम यहां इस बारे में और अधिक उदाहरणों पर विचार कर सकते हैं कि पहले से मौजूद संग्रह के भीतर 'हैशसेट' कैसे बनाया जा सकता है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Next, dry roast the sesame seeds in a pan on medium heat.\n[Hindi] इसके बाद मीडियम आंच पर एक पैन में तिल को सूखा लें।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So, this means that it is not balance; however, all other nodes are having balance factor in between 1 and 1 in this tree.\n[Hindi] तो, इसका मतलब है कि यह संतुलित नहीं है हालांकि, अन्य सभी नोड्स में इस ट्री में 1 और 1 के बीच संतुलन कारक है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] I choose Line- Line with two points.\n[Hindi] मैं दो बिन्दुओं वाली रेखा चुनता हूं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Double click on the right most form in the header, which reads 250.\n[Hindi] हेडर में सबसे दाएं रूप पर डबल क्लिक करें, जो 250 पढ़ता है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So, that you can understand about it, you can practice and the same things you can practice for any other collections again.\n[Hindi] इसलिए, आप इसके बारे में समझ सकते हैं, आप अभ्यास कर सकते हैं और वही चीजें जो आप किसी अन्य संग्रह के लिए फिर से अभ्यास कर सकते हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Click on the suitable radio-button as per your availability.\n[Hindi] अपनी उपलब्धता के अनुसार उपयुक्त रेडियो-बटन पर क्लिक करें।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Of the 74 known ORFs, UL contains 56 viral genes, whereas US contains only 12.\n[Hindi] यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय यूरोपीय य यूरोपीय यूरोपीय य य,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So, Folding method says that the key that you have to take into account you first divide into few parts, for example if this is the input key, so divide into this part like or you can say first in a two digit like ok and then this one right and then and this is 0, so you can see this one now for example here this one, this one and this one.\n[Hindi] तो, फोल्डिंग विधि (Folding method) कहती है कि जिस कुंजी को आपको ध्यान में रखना है, उसे आप पहले कुछ हिस्सों में विभाजित करें, उदाहरण के लिए यदि यह इनपुट कुंजी है, तो इस भाग को विभाजित करें या आप पहले दो अंकों में कह सकते हैं जैसे ठीक है और फिर यह एक है और फिर और यह 0 है, इसलिए आप इसे यहां उदाहरण के लिए देख सकते हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Let us look at the code for this example\n[Hindi] आइए हम इस उदाहरण के लिए कोड को देखें,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] similarly we can draw the same error bar with small red dots just change the parameters of fmt to r dot.\n[Hindi] इसी तरह हम छोटे लाल बिन्दुओं के साथ एक ही एरर बार खींच सकते हैं सिर्फ fmt के मापदंडों को आर डॉट में बदलते हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] It is sometimes infeasible because if the number of nodes is very large then number of possibilities of binary search tree also increases exponentially and finding and investing, getting all binary search trees and then finding the best one is not solvable in real time.\n[Hindi] यह कभी-कभी अव्यावहारिक होता है क्योंकि यदि नोड्स की संख्या बहुत अधिक होती है तो बाइनरी सर्च ट्री (binary search tree) की संभावनाओं की संख्या भी तेजी से बढ़ती है और खोज और निवेश, सभी बाइनरी सर्च ट्री (binary search tree) प्राप्त करना और फिर सबसे अच्छा खोजना वास्तविक समय में हल करने योग्य नहीं होता है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So, this is the one modification that you can do it, this is the first rule and then second rule is basically another modification of the internal nodes.\n[Hindi] तो, यह एक संशोधन है जिसे आप कर सकते हैं, यह पहला नियम है और फिर दूसरा नियम मूल रूप से आंतरिक नोड्स का एक और संशोधन है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So different way you can think about it and then you can run the program for different inputs and another consideration that you should do is that you can generate some random numbers, very large set of random numbers and store.\n[Hindi] तो अलग-अलग तरीके से आप इसके बारे में सोच सकते हैं और फिर आप विभिन्न इनपुट के लिए प्रोग्राम चला सकते हैं और एक और विचार जो आपको करना चाहिए वह यह है कि आप कुछ यादृच्छिक संख्या, यादृच्छिक संख्या का बहुत बड़ा सेट और स्टोर उत्पन्न कर सकते हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] View Protein structure without water molecules.\n[Hindi] पानी के अणुओं के बिना प्रोटीन संरचना देखें।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] IO stream is concerned, we have learned about CharacterStream class in this lecture and so this is very important and these are the reference that you can think for study further, this is the first link that you can think for learning many more things in details and Herbersheel book is good to have many good discussions there with illustration and then official documentation regarding the Java recent release.\n[Hindi] आईओ स्ट्रीम (IO stream) का संबंध है, हमने इस व्याख्यान में कैरेक्टर स्ट्रीम क्लास (Character Stream class) के बारे में सीखा है और इसलिए यह बहुत महत्वपूर्ण है और ये संदर्भ हैं जो आप आगे के अध्ययन के लिए सोच सकते हैं, यह पहला लिंक है जो आप विस्तार से कई और चीजों को सीखने के लिए सोच सकते हैं और हर्बरशील बुक (Herbersheel book) में चित्रण के साथ कई अच्छी चर्चाएं और फिर जावा हालिया रिलीज के बारे में आधिकारिक दस्तावेज हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Now, add element has the two poly methods initially, if you say add one, it will add the element at the current location.\n[Hindi] अब, तत्व को जोड़ने में शुरू में दो पॉली विधियां हैं, यदि आप कहते हैं कि एक जोड़ें, तो यह वर्तमान स्थान पर तत्व को जोड़ देगा।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So, here is basically the Merge operation that we can take from one element to other element and then putting into the list there and at the end, one list can be empty and other list may contain some data, so basically copy elements there.\n[Hindi] इसलिए, यहां मूल रूप से मर्ज ऑपरेशन है जिसे हम एक तत्व से दूसरे तत्व में ले जा सकते हैं और फिर वहां सूची में डाल सकते हैं और अंत में, एक सूची खाली हो सकती है और अन्य सूची में कुछ डेटा हो सकता है, इसलिए मूल रूप से वहां तत्वों की प्रतिलिपि बनाएं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Say, in this piece of code, I wish to display my text in Tamil.\n[Hindi] मान लीजिए, इस कोड के टुकड़े में, मैं अपना पाठ तमिल में प्रदर्शित करना चाहता हूं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] This is the way to create a vector of three elements.\n[Hindi] यह तीन तत्वों का एक वेक्टर बनाने का तरीका है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Now this is the final example with this example it is basically similar to the student, we have created a user defined class called 'Book' and we can created some objects of the class 'Book' and then we can at the book objects into the list.\n[Hindi] अब यह इस उदाहरण के साथ अंतिम उदाहरण है यह मूल रूप से छात्र के समान है, हमने 'पुस्तक' नामक एक उपयोगकर्ता परिभाषित कक्षा बनाई है और हम कक्षा 'पुस्तक' की कुछ वस्तुओं को बना सकते हैं और फिर हम पुस्तक वस्तुओं को सूची में शामिल कर सकते हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So, we can write this 'bookId' is greater than 'b.bookId' means the first book id, then we can say that it is return 1.\n[Hindi] तो हम लिख सकते हैं कि bookId is greater than b. bookId means the first book id, तो हम कह सकते हैं कि यह return 1 है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] In this tutorial, we have learnt about the clauses: Group by Having Order by.\n[Hindi] इस ट्यूटोरियल में, हमने खंडों के बारे में सीखा हैः आदेश प्राप्त करके समूह।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So, mainly text processing purpose CharacterStream classes is good whereas, for data processing purpose if you see and data means multimedia data if we say byte stream class is more preferable, So, this is the concept that is basically so far.\n[Hindi] इसलिए, मुख्य रूप से टेक्स्ट प्रोसेसिंग उद्देश्य कैरेक्टर स्ट्रीम क्लासेज (Character Stream classes) अच्छा है, जबकि डेटा प्रोसेसिंग उद्देश्य के लिए यदि आप देखते हैं और डेटा का मतलब मल्टीमीडिया डेटा है यदि हम कहते हैं कि बाइट स्ट्रीम क्लास (byte stream class) अधिक बेहतर है, तो यह अवधारणा है जो मूल रूप से अब तक है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] He founded several institutes in Calcutta, including: the Bengali Institute of Sociology, Bengali Asia Academy, Bengali Dante Society, and Bengali Institute of American Culture.\n[Hindi] उन्होंने Calcutta में कई संस्थानों को स्थापित किया, जिसमें शामिल हैं: बैंगालियन सामाजिक संस्थान, बैंगालियन एशिया अकादमी, बैंगालियन डेंट समाज, और बैंगालियन अमेरिकी संस्कृति संस्थान।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Welcome to the Spoken Tutorial on Web hosting using Linux cPanel.\n[Hindi] लिनक्स सी-पैनल का उपयोग करके वेब होस्टिंग पर स्पोकन ट्यूटोरियल में आपका स्वागत है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Now, let us come to the next operations, this operation is ‘Insert at End', again like insert at front it has the two situations the list is empty, there is no node in it or the list contains one or more node.\n[Hindi] अब, हम अगले ऑपरेशनों पर आते हैं, यह ऑपरेशन 'अंत में प्रविष्ट' है, फिर से इसके सामने दो स्थितियां हैं जो सूची खाली है, इसमें कोई नोड नहीं है या सूची में एक या अधिक नोड शामिल हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] ODIs between the 12 teams competing in the ICC ODI Championship were of special importance as only those that are ranked in the top 8 at the end of this season (30 September 2017) qualified directly for the World Cup.\n[Hindi] ICC ODI Championship में 12 टीमों के बीच अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतर्राष्ट्रीय अंतरिक्ष,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Other important steel products—also made using the open hearth process—were steel cable, steel rod and sheet steel which enabled large, high-pressure boilers and high-tensile strength steel for machinery which enabled much more powerful engines, gears and axles than were previously possible.\n[Hindi] अन्य महत्वपूर्ण इस्पात उत्पादों - खुले ग्रीनहाउस प्रक्रिया का उपयोग करने के लिए भी किया गया है - ग्रीनहाउस, ग्रीनहाउस और ग्रीनहाउस के साथ, जो पहले से अधिक शक्तिशाली इंजनों, ग्रीनहाउस और तेलों के लिए बड़े, उच्च दबाव वाले बोइलोरों और उच्च टनसेली इस्पात के लिए अनुमति देता है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Please note, you need to be an admin user if you want to install any software.\n[Hindi] कृपया ध्यान दें, यदि आप किसी सॉफ्टवेयर को इंस्टॉल करना चाहते हैं तो आपको एक एडमिन यूजर होने की आवश्यकता है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Angle will be 60 for 6 copies around 360 degree.\n[Hindi] कोण 360 डिग्री के आसपास 6 प्रतियों के लिए 60 होगा।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] One class may be dependent on another class, we will see that under what situation dependency arises.\n[Hindi] एक वर्ग दूसरे वर्ग पर निर्भर हो सकता है, हम देखेंगे कि किस स्थिति में निर्भरता पैदा होती है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So this is the method free(), so that we can return the header which is no more required for the second list, return to the memory bank.\n[Hindi] तो यह विधि मुक्त (<unk>) है, ताकि हम हेडर को वापस कर सकें जो दूसरी सूची के लिए आवश्यक नहीं है, मेमोरी बैंक में लौटें।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Now here suppose ‘Node l1’ is the current node, so this is the ‘this.head’ is basically current node and node l2, l2.head this basically is the first node of the node l2 with has been passed here.\n[Hindi] अब यहां मान लीजिए कि 'नोड l1' वर्तमान नोड है, इसलिए यह 'this. head' मूल रूप से वर्तमान नोड है और नोड l2, l2 हेड यह मूल रूप से नोड l2 का पहला नोड है जिसके साथ यहां पारित किया गया है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] This code is available in the Code files link of this tutorial. You can download and use it.\n[Hindi] यह कोड इस ट्यूटोरियल के कोड फाइल लिंक में उपलब्ध है। आप इसे डाउनलोड और उपयोग कर सकते हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Then we document those use cases in the diagram and also we connect the actor to that use case.\n[Hindi] फिर हम आरेख में उन उपयोग के मामलों का दस्तावेजीकरण करते हैं और हम उस उपयोग के मामले से अभिनेता को भी जोड़ते हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] This ‘*’ notation indicates the history state in the sense that the history at which the testing was interrupted is remembered and as it resumed it continues from that point.\n[Hindi] यह '*' संकेतन इतिहास की स्थिति को इस अर्थ में इंगित करता है कि जिस इतिहास पर परीक्षण में बाधा डाली गई थी उसे याद किया जाता है और जब यह फिर से शुरू होता है तो यह उस बिंदु से जारी रहता है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Actually, behind this height balancing a binary search tree there are many operations are required, those operations mainly called ‘AVL’ rotations.\n[Hindi] वास्तव में, एक बाइनरी सर्च ट्री को संतुलित करने के लिए इस ऊंचाई के पीछे कई ऑपरेशनों की आवश्यकता होती है, जिन्हें मुख्य रूप से 'एवीएल' रोटेशन कहा जाता है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Observe that the background color of the page is set to sky-blue.\n[Hindi] ध्यान दें कि पृष्ठ का पृष्ठभूमि रंग आकाश-नीला सेट है.,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Next tutorial in the series is Density of Metals and Liquids.\n[Hindi] श्रृंखला में अगला ट्यूटोरियल धातु और तरल पदार्थों की घनत्व (Density of Metals and Liquids) है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Over periods of ecological changes, biogeography includes the study of plant and animal species in: their past and/or present living refugium habitat; their interim living sites; and/or their survival locales.\n[Hindi] पर्यावरण परिवर्तन की अवधि के दौरान, जैवोग्राफी में पौधों और जानवरों की विशेषताओं का अध्ययन शामिल है: उनके अतीत और/या मौजूदा जीवित आपातकालीन जीवित रहने वाले जीवित रहने वाले जीवित रहने वाले जीवित रहने वाले जीवित रहने वाले स्थानों; और/या उनके जीवित रहने वाले स्थानों।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] So this means that those are the elements which are the highest priority they will be towards the front position like so front to here if you sorted according the descending order of the priority value it will work for you to implement priority queue.\n[Hindi] तो इसका मतलब है कि वे तत्व हैं जो सर्वोच्च प्राथमिकता हैं, वे सामने की स्थिति की ओर होंगे, जैसे कि यहां तक कि यदि आप प्राथमिकता मान के उतरते क्रम के अनुसार क्रमबद्ध करते हैं, तो यह आपके लिए प्राथमिकता कतार को लागू करने के लिए काम करेगा।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Now let us discuss about the few operations on graph and the main operation that is possible so far the graph is concerned, It is insertion that means, if you want to add a new node into the graph, if you want to delete a node, also merging means two graphs can be merged.\n[Hindi] अब हम ग्राफ पर कुछ ऑपरेशनों और मुख्य ऑपरेशन के बारे में चर्चा करते हैं जो अब तक संभव है ग्राफ का संबंध है, इसका मतलब है कि, यदि आप ग्राफ में एक नया नोड जोड़ना चाहते हैं, यदि आप एक नोड को हटाना चाहते हैं, तो विलय का मतलब है कि दो ग्राफों का विलय किया जा सकता है।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] And this tree hierarchy is very useful later as we proceed, we will see that there are specific patterns that proposed such a tree hierarchy class relation.\n[Hindi] और यह ट्री पदानुक्रम बाद में बहुत उपयोगी है क्योंकि हम आगे बढ़ते हैं, हम देखेंगे कि विशिष्ट पैटर्न हैं जो इस तरह के ट्री पदानुक्रम वर्ग संबंध का प्रस्ताव देते हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] In this code, we are changing the default state colours. Normal and unvisited link is set to black. Visited link is set to red. Hover link is set to green. Active link is set to blue.\n[Hindi] इस कोड में, हम डिफ़ॉल्ट अवस्था के रंग बदल रहे हैं. सामान्य और न देखे गए लिंक को काले रंग में सेट किया गया है. देखे गए लिंक को लाल रंग में सेट किया गया है. होवर लिंक को हरे रंग में सेट किया गया है. सक्रिय लिंक को नीले रंग में सेट किया गया है.,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] We can see “S” in calligraphic font.\n[Hindi] हम सुलेख फॉन्ट में एस देख सकते हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Now, we declare T of type one, V is of another type, they may be same type no issue, but okay, fine and this is a constructor, we pass the value for this type of object T, another value for the type of object V, A and B are the two objects of type T and V.\n[Hindi] अब, हम टाइप एक के T की घोषणा करते हैं, V एक अन्य प्रकार का है, वे एक ही प्रकार के हो सकते हैं कोई मुद्दा नहीं, लेकिन ठीक है और यह एक निर्माता है, हम इस प्रकार के ऑब्जेक्ट टी के लिए मान पास करते हैं, ऑब्जेक्ट वी, ए और बी प्रकार के दो ऑब्जेक्ट टी और वी हैं।,\npredict the DA-score. | DA-score: | qe |
Context: A quality estimation model predicts the DA score on a scale of 0 to 100. Be precise and penalize DA score based on errors in the Hindi sentence. Do not consider any other existing translation evaluation metrics. \n\nTask: For the following translation from English to Hindi,\n[English] Welcome to the spoken tutorial on the importance of vitamin C.\n[Hindi] विटामिन सी के महत्व पर बोले गए ट्यूटोरियल में आपका स्वागत है।,\npredict the DA-score. | DA-score: | qe |