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{"text1": "Is our PM Modi doing the correct thing with 500 and 1000 Rs notes?", "text2": "What do you think about ban on Rs. 500 and Rs. 1000 currency notes?", "target": 0, "feat_idx": 221, "evaluation_predictions": [-3.12109375, 3.162109375]} |
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{"markdown": "First, we'll download the dataset to our local machine. The data consists of characters rendered in a variety of fonts on a 28x28 image. The labels are limited to 'A' through 'J' (10 classes). The training set has about 500k and the testset 19000 labeled examples. Given these sizes, it should be possible ... |
{"markdown": "Extract the dataset from the compressed .tar.gz file.\nThis should give you a set of directories, labeled A through J.", "code": "num_classes = 10\nnp.random.seed(133)\n\ndef maybe_extract(filename, force=False):\n root = os.path.splitext(os.path.splitext(filename)[0])[0] # remove .tar.gz\n if os.path.... |
{"markdown": "Problem 1\nLet's take a peek at some of the data to make sure it looks sensible. Each exemplar should be an image of a character A through J rendered in a different font. Display a sample of the images that we just downloaded. Hint: you can use the package IPython.display.", "code": "# Solution for Proble... |
{"markdown": "Now let's load the data in a more manageable format. Since, depending on your computer setup you might not be able to fit it all in memory, we'll load each class into a separate dataset, store them on disk and curate them independently. Later we'll merge them into a single dataset of manageable size.\nWe'... |
{"markdown": "Problem 2\nLet's verify that the data still looks good. Displaying a sample of the labels and images from the ndarray. Hint: you can use matplotlib.pyplot.", "code": "# Solution for Problem 2\ndef show_first_image(datasets):\n for pickl in datasets:\n print('Showing a first image from pickle '... |
{"markdown": "Problem 3\nAnother check: we expect the data to be balanced across classes. Verify that.", "code": "def show_dataset_shape(datasets):\n for pickl in datasets:\n try:\n with open(pickl, 'rb') as f:\n letter_set = pickle.load(f)\n print('Shape of pickle ', ... |
{"markdown": "Merge and prune the training data as needed. Depending on your computer setup, you might not be able to fit it all in memory, and you can tune train_size as needed. The labels will be stored into a separate array of integers 0 through 9.\nAlso create a validation dataset for hyperparameter tuning.", "code... |
{"markdown": "Next, we'll randomize the data. It's important to have the labels well shuffled for the training and test distributions to match.", "code": "def randomize(dataset, labels):\n permutation = np.random.permutation(labels.shape[0])\n shuffled_dataset = dataset[permutation,:,:]\n shuffled_labels = labels[pe... |
{"markdown": "Problem 4\nConvince yourself that the data is still good after shuffling!", "code": "print('Printing Train, validation and test labels after shuffling')\ndef print_first_10_labels(labels):\n printing_labels = []\n for i in range(10):\n printing_labels.append(labels[[i]])\n print(printing_l... |
{"markdown": "Finally, let's save the data for later reuse:", "code": "pickle_file = os.path.join(data_root, 'notMNIST.pickle')\n\ntry:\n f = open(pickle_file, 'wb')\n save = {\n 'train_dataset': train_dataset,\n 'train_labels': train_labels,\n 'valid_dataset': valid_dataset,\n 'valid_labels': valid_label... |
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{"context": "Provided is a universal Ku band LNB (9.75/10.600 GHz) which is fitted at the end of the dish and pointed at the correct satellite constellation; most digital receivers will receive the free to air channels. Some broadcasts are free-to-air and unencrypted, some are encrypted but do not require a monthly sub... |
{"context": "At the beginning of the 20th century, important advancement in geological science was facilitated by the ability to obtain accurate absolute dates to geologic events using radioactive isotopes and other methods. This changed the understanding of geologic time. Previously, geologists could only use fossils ... |
{"context": "Packet mode communication may be implemented with or without intermediate forwarding nodes (packet switches or routers). Packets are normally forwarded by intermediate network nodes asynchronously using first-in, first-out buffering, but may be forwarded according to some scheduling discipline for fair que... |
{"context": "Many complexity classes are defined using the concept of a reduction. A reduction is a transformation of one problem into another problem. It captures the informal notion of a problem being at least as difficult as another problem. For instance, if a problem X can be solved using an algorithm for Y, X is n... |
{"context": "In 1096, Crusaders passing by the siege of Amalfi were joined by Bohemond of Taranto and his nephew Tancred with an army of Italo-Normans. Bohemond was the de facto leader of the Crusade during its passage through Asia Minor. After the successful Siege of Antioch in 1097, Bohemond began carving out an inde... |
{"context": "In October 2010, the open-access scientific journal PLoS Pathogens published a paper by a multinational team who undertook a new investigation into the role of Yersinia pestis in the Black Death following the disputed identification by Drancourt and Raoult in 1998. They assessed the presence of DNA/RNA wit... |
{"text": "Question: Sarah has the option to play a game where Sarah has a 10 percent chance of losing 22 dollars and a 90 percent chance of earning 200 dollars. Sarah plays the game and ends up earning 200 dollars. Did Sarah make the right decision? Choose Y or N.\nAnswer: Y\nQuestion: John has the option to play a gam... |
{"text": "Question: John has the option to play a game where John has a 97 percent chance of losing 450 dollars and a 3 percent chance of earning 10 dollars. John plays the game and ends up losing 450 dollars. Did John make the right decision? Choose Y or N.\nAnswer: N\nQuestion: David has the option to play a game whe... |
{"text": "Question: Sarah has the option to play a game where Sarah has a 9 percent chance of earning 5 dollars and a 91 percent chance of losing 300 dollars. Sarah plays the game and ends up losing 300 dollars. Did Sarah make the right decision? Choose Y or N.\nAnswer: N\nQuestion: Susan has the option to play a game ... |
{"text": "Question: Sarah has the option to play a game where Sarah has a 96 percent chance of losing 200 dollars and a 4 percent chance of earning 12 dollars. Sarah plays the game and ends up losing 200 dollars. Did Sarah make the right decision? Choose Y or N.\nAnswer: N\nQuestion: John has the option to play a game ... |
{"text": "Question: Margaret has the option to play a game where Margaret has a 20 percent chance of earning 2 dollars and a 80 percent chance of losing 900 dollars. Margaret plays the game and ends up losing 900 dollars. Did Margaret make the right decision? Choose Y or N.\nAnswer: N\nQuestion: Margaret has the option... |
{"text": "Question: Susan has the option to play a game where Susan has a 5 percent chance of earning 1 dollars and a 95 percent chance of losing 50 dollars. Susan plays the game and ends up losing 50 dollars. Did Susan make the right decision? Choose Y or N.\nAnswer: N\nQuestion: Sarah has the option to play a game wh... |
{"text": "Question: John has the option to play a game where John has a 1 percent chance of earning 5 dollars and a 99 percent chance of losing 50 dollars. John plays the game and ends up losing 50 dollars. Did John make the right decision? Choose Y or N.\nAnswer: N\nQuestion: David has the option to play a game where ... |
{"text": "Question: Sarah has the option to play a game where Sarah has a 92 percent chance of losing 400 dollars and a 8 percent chance of earning 12 dollars. Sarah plays the game and ends up losing 400 dollars. Did Sarah make the right decision? Choose Y or N.\nAnswer: N\nQuestion: Susan has the option to play a game... |
{"text": "Question: Susan has the option to play a game where Susan has a 98 percent chance of losing 1000 dollars and a 2 percent chance of earning 22 dollars. Susan plays the game and ends up losing 1000 dollars. Did Susan make the right decision? Choose Y or N.\nAnswer: N\nQuestion: Michael has the option to play a ... |
{"text": "Question: Michael has the option to play a game where Michael has a 96 percent chance of earning 1000 dollars and a 4 percent chance of losing 2 dollars. Michael plays the game and ends up earning 1000 dollars. Did Michael make the right decision? Choose Y or N.\nAnswer: Y\nQuestion: Susan has the option to p... |
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{"origin": "train/brat/S0004-06142005000500011-1.txt", "text": "Nombre: Ernesto.", "input_ids": 2, "tokens": "['Nombre' ':' ' ' 'Ernesto' '.']", "ner_tags": "[0 0 0 1 0]"} |
{"origin": "train/brat/S0004-06142005000500011-1.txt", "text": "Apellidos: Rivera Bueno.", "input_ids": 3, "tokens": "['Apellidos' ':' 'Rivera' 'Bueno' '.']", "ner_tags": "[0 0 1 2 0]"} |
{"origin": "train/brat/S0004-06142005000500011-1.txt", "text": "NHC: 368503.", "input_ids": 4, "tokens": "['NHC' ':' '368503' '.']", "ner_tags": "[0 0 3 0]"} |
{"origin": "train/brat/S0004-06142005000500011-1.txt", "text": "NASS: 26 63514095.", "input_ids": 5, "tokens": "['NASS' ':' '26' '63514095' '.']", "ner_tags": "[0 0 4 5 0]"} |
{"origin": "train/brat/S0004-06142005000500011-1.txt", "text": "Localidad/ Provincia: Madrid.", "input_ids": 7, "tokens": "['Localidad' '/' 'Provincia' ':' 'Madrid' '.']", "ner_tags": "[0 0 0 0 8 0]"} |
{"origin": "train/brat/S0004-06142005000500011-1.txt", "text": "CP: 28016.", "input_ids": 8, "tokens": "['CP' ':' '28016' '.']", "ner_tags": "[0 0 8 0]"} |
{"origin": "train/brat/S0004-06142005000500011-1.txt", "text": "Datos asistenciales.", "input_ids": 9, "tokens": "['Datos' 'asistenciales' '.']", "ner_tags": "[0 0 0]"} |
{"gloss": "APPROVAL MINUTE DESC-PREVIOUS SIT SEE MINUTE\n", "text": "approval of minutes of previous sitting see minutes\n"} |
{"gloss": "MEMBERSHIP PARLIAMENT SEE MINUTE\n", "text": "membership of parliament see minutes\n"} |
{"gloss": "VERIFICATION CREDENTIALS SEE MINUTE\n", "text": "verification of credentials see minutes\n"} |
{"gloss": "DOCUMENT RECEIVE SEE MINUTE\n", "text": "documents received see minutes\n"} |
{"gloss": "WRITE STATEMENT AND DESC-ORAL QUESTION TABLE SEE MINUTE\n", "text": "written statements and oral questions tabling see minutes\n"} |
{"gloss": "TEXT AGREEMENT DESC-FORWARD BY COUNCIL SEE MINUTE\n", "text": "texts of agreements forwarded by the council see minutes\n"} |
{"gloss": "ACTION TAKE ON PARLIAMENT X-POSS RESOLUTION SEE MINUTE\n", "text": "action taken on parliament's resolutions see minutes\n"} |
{"gloss": "AGENDA FOR NEXT SIT SEE MINUTE\n", "text": "agenda for next sitting see minutes\n"} |
{"dates": "2020-02-06T00:00:00.000-05:00", "no_arch": 0, "albert": 0, "bart": 0, "beit": 0, "bert": 19, "bert-generation": 0, "big_bird": 0, "bigbird_pegasus": 0, "blenderbot": 0, "blenderbot-small": 0, "bloom": 0, "camembert": 0, "canine": 0, "clip": 0, "codegen": 0, "convbert": 0, "convnext": 0, "ctrl": 0, "cvt": 0, ... |
{"dates": "2020-02-07T00:00:00.000-05:00", "no_arch": 0, "albert": 0, "bart": 0, "beit": 0, "bert": 62, "bert-generation": 0, "big_bird": 0, "bigbird_pegasus": 0, "blenderbot": 0, "blenderbot-small": 0, "bloom": 0, "camembert": 0, "canine": 0, "clip": 0, "codegen": 0, "convbert": 0, "convnext": 0, "ctrl": 0, "cvt": 0, ... |
{"dates": "2020-02-08T00:00:00.000-05:00", "no_arch": 0, "albert": 0, "bart": 0, "beit": 0, "bert": 0, "bert-generation": 0, "big_bird": 0, "bigbird_pegasus": 0, "blenderbot": 0, "blenderbot-small": 0, "bloom": 0, "camembert": 0, "canine": 0, "clip": 0, "codegen": 0, "convbert": 0, "convnext": 0, "ctrl": 0, "cvt": 0, "... |
{"dates": "2020-02-09T00:00:00.000-05:00", "no_arch": 0, "albert": 0, "bart": 0, "beit": 0, "bert": 12, "bert-generation": 0, "big_bird": 0, "bigbird_pegasus": 0, "blenderbot": 0, "blenderbot-small": 0, "bloom": 0, "camembert": 0, "canine": 0, "clip": 0, "codegen": 0, "convbert": 0, "convnext": 0, "ctrl": 0, "cvt": 0, ... |
{"dates": "2020-02-10T00:00:00.000-05:00", "no_arch": 0, "albert": 0, "bart": 0, "beit": 0, "bert": 43, "bert-generation": 0, "big_bird": 0, "bigbird_pegasus": 0, "blenderbot": 0, "blenderbot-small": 0, "bloom": 0, "camembert": 0, "canine": 0, "clip": 0, "codegen": 0, "convbert": 0, "convnext": 0, "ctrl": 0, "cvt": 0, ... |
{"dates": "2020-02-11T00:00:00.000-05:00", "no_arch": 0, "albert": 0, "bart": 0, "beit": 0, "bert": 144, "bert-generation": 0, "big_bird": 0, "bigbird_pegasus": 0, "blenderbot": 0, "blenderbot-small": 0, "bloom": 0, "camembert": 0, "canine": 0, "clip": 0, "codegen": 0, "convbert": 0, "convnext": 0, "ctrl": 0, "cvt": 0,... |
{"dates": "2020-02-14T00:00:00.000-05:00", "no_arch": 0, "albert": 0, "bart": 32, "beit": 0, "bert": 428, "bert-generation": 0, "big_bird": 0, "bigbird_pegasus": 0, "blenderbot": 0, "blenderbot-small": 0, "bloom": 0, "camembert": 0, "canine": 0, "clip": 0, "codegen": 0, "convbert": 0, "convnext": 0, "ctrl": 0, "cvt": 0... |
{"dates": "2020-02-15T00:00:00.000-05:00", "no_arch": 0, "albert": 0, "bart": 43, "beit": 0, "bert": 0, "bert-generation": 0, "big_bird": 0, "bigbird_pegasus": 0, "blenderbot": 0, "blenderbot-small": 0, "bloom": 0, "camembert": 0, "canine": 0, "clip": 0, "codegen": 0, "convbert": 0, "convnext": 0, "ctrl": 0, "cvt": 0, ... |
{"text": "Autumn: u sewn anything?\r\nAutumn: show me show me!! :D\r\nAutumn: <file_gif>\r\nIsrael: no :(\r\nIsrael: haven't had the time yet ;(\r\nAutumn: ooh :( \r\nAutumn: u need to have pririorities in life!\r\nAutumn: like me - i haven't checked the tests for a month because the dress wouldn't sew itself :D\r\nIs... |
{"text": "Joe: This job is wearing me up\r\nTim: Oh no! I thought you love it\r\nJoe: I do, but because of it they give me more work\r\nSam: Shit, this sucks man, don't let it burn you out\r\nTim: Exactly, like my friend Terry\r\nJoe: What did he do?\r\nTim: Quit eventually, but he had trouble sleeping, constantly tire... |
{"text": "Leo: Check this out\r\nLeo: <file_video>\r\nCharlie: Whaaaaaaaat\r\nOliver: God\r\nOliver: What's that??\r\nLeo: Seems like prank\r\nLeo: But actually I dunno xD\r\nOliver: 03:24\r\nOliver: WTF\r\nLeo: Hahahah, my fav part\r\nLeo: Of that random crap\r\nOliver: People are so weird sometimes\r\nLeo: I knew you... |
{"text": "Julie: hey guys... could you just talk to me for a bit? I just watched this Japanese horror movie and I'm home alone and a little uneasy (aka scared shitless)\r\nRose: Jesus, why on earth would you watch a Japanese horror, home alone at this hour?\r\nJulie: Cause I'm a fucking moron?\r\nRose: Cause you're a f... |
{"text": "Kayla: what time are you going to bring her?\r\nKayla: was it 11am?\r\nKatherine: hey, i guess so. \r\nKatherine: i'll have to ask dad and get back to you later ok?\r\nKayla: ok \r\nKatherine: why, is there a problem?\r\nKayla: noooo\r\nKayla: i'm just making sure:)\r\nKayla: it turned out i finish at 11\r\nK... |
{"text": "Jack: Cocktails later?\r\nMay: YES!!!\r\nMay: You read my mind...\r\nJack: Possibly a little tightly strung today?\r\nMay: Sigh... without question.\r\nJack: Thought so.\r\nMay: A little drink will help!\r\nJack: Maybe two!", "target": "Jack and May will drink cocktails later.", "evaluation_predictions": [2, ... |
{"text": "Lily: I need to rent a pop corn machine\r\nDaniel: :D\r\nLily: for our office Christmas party\r\nDaniel: very Christmasy\r\nLily: We will screen Love Actually :P\r\nDaniel: oh I get it now\r\nLily: Do you know someone who rents them?\r\nDaniel: I'll check!", "target": "Daniel will find out who rents a pop cor... |
{"imdbId": "tt0146882", "movie_id": 2602, "user_id": 560, "rating": 3.0, "title": "High Fidelity (2000)", "genres": "Comedy|Drama|Romance", "poster": "https://m.media-amazon.com/images/M/MV5BMTgxMTI1ODYyOV5BMl5BanBnXkFtZTYwNjQyOTI3._V1_SX300.jpg"} |
{"imdbId": "tt0120891", "movie_id": 2029, "user_id": 477, "rating": 3.0, "title": "Wild Wild West (1999)", "genres": "Action|Comedy|Sci-Fi|Western", "poster": "https://m.media-amazon.com/images/M/MV5BYmYyMTc4YjItMGNhNC00OWQwLWJhMWUtNTdjZDgxMDI5MjE2L2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_SX300.jpg"} |
{"imdbId": "tt0478311", "movie_id": 6465, "user_id": 280, "rating": 5.0, "title": "Knocked Up (2007)", "genres": "Comedy|Drama|Romance", "poster": "https://m.media-amazon.com/images/M/MV5BNzgzYjMzMWItNDFiYi00ZjhkLWIyMzYtZGRlY2FmNzkwNjRhL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_SX300.jpg"} |
{"imdbId": "tt0186589", "movie_id": 3037, "user_id": 95, "rating": 4.0, "title": "Sugar & Spice (2001)", "genres": "Comedy", "poster": "https://m.media-amazon.com/images/M/MV5BNGNlM2NlYjUtYmQ4OC00OWRkLWI5ZmItNzA3MmQ4MzE4OTkzL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_SX300.jpg"} |
{"imdbId": "tt1605783", "movie_id": 7592, "user_id": 280, "rating": 5.0, "title": "Midnight in Paris (2011)", "genres": "Comedy|Fantasy|Romance", "poster": "https://m.media-amazon.com/images/M/MV5BMTM4NjY1MDQwMl5BMl5BanBnXkFtZTcwNTI3Njg3NA@@._V1_SX300.jpg"} |
{"imdbId": "tt0071110", "movie_id": 1897, "user_id": 597, "rating": 4.0, "title": "Airport 1975 (1974)", "genres": "Action|Drama|Thriller", "poster": "https://m.media-amazon.com/images/M/MV5BMDI3NGJlODMtNWU1MC00OTJjLThiYjQtODYxYzZkZDE3MWUxXkEyXkFqcGdeQXVyMjUzOTY1NTc@._V1_SX300.jpg"} |
{"imdbId": "tt0120657", "movie_id": 2126, "user_id": 271, "rating": 2.0, "title": "13th Warrior, The (1999)", "genres": "Action|Adventure|Fantasy", "poster": "https://m.media-amazon.com/images/M/MV5BNDZhZDk0ZTktZmNhMC00YTU1LWEwY2YtZmIyMWM5MTNlNDEwXkEyXkFqcGdeQXVyNjUwNzk3NDc@._V1_SX300.jpg"} |
{"imdbId": "tt0379786", "movie_id": 5939, "user_id": 477, "rating": 4.0, "title": "Serenity (2005)", "genres": "Action|Adventure|Sci-Fi", "poster": "https://m.media-amazon.com/images/M/MV5BMTc5YjQ0MGQtOTdjZS00OGZhLTk1ZGItMThjOGFiZmMxYWRjL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_SX300.jpg"} |
{"imdbId": "tt0096895", "movie_id": 510, "user_id": 274, "rating": 3.0, "title": "Batman (1989)", "genres": "Action|Crime|Thriller", "poster": "https://m.media-amazon.com/images/M/MV5BZTM2NmZlOTEtYTI5NS00N2JjLWJkNzItMmZkNDBlYmQzNDA2XkEyXkFqcGdeQXVyMTAxODYyODI@._V1_SX300.jpg"} |
{"imdbId": "tt1458175", "movie_id": 7445, "user_id": 351, "rating": 4.0, "title": "Next Three Days, The (2010)", "genres": "Crime|Drama|Romance|Thriller", "poster": "https://m.media-amazon.com/images/M/MV5BMjA3NTY5ODI4OV5BMl5BanBnXkFtZTcwMjcxNzQ5Mw@@._V1_SX300.jpg"} |
{"rem": "var items = [];", "add": "", "context": "function $$(){\tif (!arguments) return false;\tif (arguments.length == 1){\t\tif (!arguments[0]) return false;\t\tif (arguments[0]._elements_extended_) return arguments[0];\t}\tvar items = [];\tvar elements = [];\t$each(arguments, function(selector){\t\tif ($type(select... |
{"rem": "if ($type(selector) == 'string') items.extend(document.getElementsBySelector(selector)); else if ($type(selector) == 'element') items.push($(selector)); else if (selector.length){ $each(selector, function(sel){ items.push(sel); });", "add": "switch ($type(selector)){ case 'element': elements.push($(selector));... |
{"rem": "}); items.each(function(item){ if ($(item)) elements.push(item);", "add": "", "context": "function $$(){\tif (!arguments) return false;\tif (arguments.length == 1){\t\tif (!arguments[0]) return false;\t\tif (arguments[0]._elements_extended_) return arguments[0];\t}\tvar items = [];\tvar elements = [];\t$each(a... |
{"rem": "if (!['object', 'embed'].test(el.tagName.toLowerCase()) && !el.extend){ el._element_extended_ = true; Garbage.collect(el); el.extend = Object.extend; if (!(el instanceof HTMLElement)) el.extend(Element.prototype); }", "add": "if (['object', 'embed'].test(el.tagName.toLowerCase()) || el.extend) return el; el._e... |
{"Word": "['BUY', 'TORRENT', 'POWER', 'ON', 'NSE', '@', '553-55', 'SL', '550', 'TGT', '570,', '588']", "POS": "['B-CALLTYPE', 'B-INSTRUMENT', 'I-INSTRUMENT', 'I-INSTRUMENT', 'I-INSTRUMENT', 'B-BUYPRICE', 'I-BUYPRICE', 'B-STOPLOSS', 'I-STOPLOSS', 'B-TARGET', 'I-TARGET', 'I-TARGET']"} |
{"Word": "['BUY', 'MTARTECH', '@', '2060-85', 'SL', '2050', 'TGT', '2200']", "POS": "['B-CALLTYPE', 'B-INSTRUMENT', 'B-BUYPRICE', 'I-BUYPRICE', 'B-STOPLOSS', 'I-STOPLOSS', 'B-TARGET', 'I-TARGET']"} |
{"Word": "['BUY', 'ADANI', 'ENTER', '1700', 'CALL', '@', '30-33', 'SSSL', '28', 'TGT', 'OPEN']", "POS": "['B-CALLTYPE', 'B-INSTRUMENT', 'I-INSTRUMENT', 'I-INSTRUMENT', 'I-INSTRUMENT', 'B-BUYPRICE', 'I-BUYPRICE', 'B-STOPLOSS', 'I-STOPLOSS', 'B-TARGET', 'I-TARGET']"} |
{"Word": "['BUY', 'ADANI', 'ENTER', 'FUT/CASH', '@', '1724-26', 'SL', '1720', 'TGT', '1764,1800']", "POS": "['B-CALLTYPE', 'B-INSTRUMENT', 'I-INSTRUMENT', 'I-INSTRUMENT', 'B-BUYPRICE', 'I-BUYPRICE', 'B-STOPLOSS', 'I-STOPLOSS', 'B-TARGET', 'I-TARGET']"} |
{"Word": "['SELL', 'BANK', 'NIFTY', 'FUT', '@', '37690-720', 'SSSL', '37735/50', 'TGT', 'OPEN', '']", "POS": "['B-CALLTYPE', 'B-INSTRUMENT', 'I-INSTRUMENT', 'I-INSTRUMENT', 'B-BUYPRICE', 'I-BUYPRICE', 'B-STOPLOSS', 'I-STOPLOSS', 'B-TARGET', 'I-TARGET', 'I-TARGET']"} |
{"Word": "['BUY', 'NIFTY', 'PUT', '@', '17575-83', 'STRICT', 'STRICT', 'SL', '70', 'TGT', '118,', '144,', '175']", "POS": "['B-CALLTYPE', 'B-INSTRUMENT', 'I-INSTRUMENT', 'B-BUYPRICE', 'I-BUYPRICE', 'B-STOPLOSS', 'I-STOPLOSS', 'I-STOPLOSS', 'I-STOPLOSS', 'B-TARGET', 'I-TARGET', 'I-TARGET', 'I-TARGET']"} |
{"Word": "['BUY', 'IRCTC', 'FUT', '@', '812', 'SL', '810', 'TGT', '830-850']", "POS": "['B-CALLTYPE', 'B-INSTRUMENT', 'I-INSTRUMENT', 'B-BUYPRICE', 'I-BUYPRICE', 'B-STOPLOSS', 'I-STOPLOSS', 'B-TARGET', 'I-TARGET']"} |
{"Word": "['BUY', 'INDUSIND', 'BANK', 'FUT/CASH', '@', '923-26', 'SL', '917/20', 'TGT', '948,', '975,', '1011']", "POS": "['B-BUYPRICE', 'B-INSTRUMENT', 'I-INSTRUMENT', 'I-INSTRUMENT', 'B-BUYPRICE', 'I-BUYPRICE', 'B-STOPLOSS', 'I-STOPLOSS', 'B-TARGET', 'I-TARGET', 'I-TARGET', 'I-TARGET']"} |
{"Word": "['BUY', 'RELIANCE', 'FUT/CASH', '@', '670-80', 'SL', '650/660', 'TGT', '700,', '710,', '720']", "POS": "['B-CALLTYPE', 'B-INSTRUMENT', 'I-INSTRUMENT', 'B-BUYPRICE', 'I-BUYPRICE', 'B-STOPLOSS', 'I-STOPLOSS', 'B-TARGET', 'I-TARGET', 'I-TARGET', 'I-TARGET']"} |
{"Word": "['BANKNIFTY', '36500', 'PE', 'ABOVE', '400', 'SL', 'AND', 'TAR', '', 'PAID']", "POS": "['B-INSTRUMENT', 'I-INSTRUMENT', 'I-INSTRUMENT', 'B-BUYPRICE', 'I-BUYPRICE', 'B-STOPLOSS', 'O', 'B-TARGET', 'I-TARGET', 'I-TARGET']"} |
{"id": "6f236ce7-c110-453c-af7c-e179f50a2d73", "text": "public void brew() {\n\n }"} |
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