diff --git "a/create_dataset.ipynb" "b/create_dataset.ipynb" new file mode 100644--- /dev/null +++ "b/create_dataset.ipynb" @@ -0,0 +1,452 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "# Purpose\n", + "The goal of this is to show how we can create a dataset from a recent open-source example. I came across **Science QA** and thought it would be a great example as its quite interesting and it is multi-modal." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Get the data\n", + "## 1. Where is the data?\n", + "A quick google search shows that this data has a [repo](https://github.com/lupantech/ScienceQA#download-the-dataset). \n", + "\n", + "> The text part of the ScienceQA dataset is provided in data/scienceqa/problems.json. You can download the image data of ScienceQA by running:\n", + ">\n", + "> . tools/download.sh\n", + "\n", + "We can see in the quoted section that the data text is in a json, and the images can be accessed through the shell script. I modified the script to match this repo's structure and put it here: [download.sh](./download.sh). \n", + "\n", + "Lets run the script and download the json so we have the data locally in our folder structure." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Download images to the `images` folder:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "!./download.sh" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Download the json file to the `text` folder:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "File ‘./text/problems.json’ already there; not retrieving.\r\n", + "\r\n" + ] + } + ], + "source": [ + "!wget -nc https://raw.githubusercontent.com/lupantech/ScienceQA/main/data/scienceqa/problems.json -P ./text" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: datasets==2.9.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (2.9.0)\n", + "Requirement already satisfied: aiohttp in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from datasets==2.9.0) (3.8.3)\n", + "Requirement already satisfied: dill<0.3.7 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from datasets==2.9.0) (0.3.6)\n", + "Requirement already satisfied: tqdm>=4.62.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from datasets==2.9.0) (4.64.1)\n", + "Requirement already satisfied: responses<0.19 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from datasets==2.9.0) (0.18.0)\n", + "Requirement already satisfied: fsspec[http]>=2021.11.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from datasets==2.9.0) (2023.1.0)\n", + "Requirement already satisfied: multiprocess in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from datasets==2.9.0) (0.70.14)\n", + "Requirement already satisfied: huggingface-hub<1.0.0,>=0.2.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from datasets==2.9.0) (0.12.0)\n", + "Requirement already satisfied: packaging in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from datasets==2.9.0) (23.0)\n", + "Requirement already satisfied: pandas in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from datasets==2.9.0) (1.5.3)\n", + "Requirement already satisfied: xxhash in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from datasets==2.9.0) (3.2.0)\n", + "Requirement already satisfied: pyyaml>=5.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from datasets==2.9.0) (6.0)\n", + "Requirement already satisfied: numpy>=1.17 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from datasets==2.9.0) (1.24.2)\n", + "Requirement already satisfied: requests>=2.19.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from datasets==2.9.0) (2.28.1)\n", + "Requirement already satisfied: pyarrow>=6.0.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from datasets==2.9.0) (11.0.0)\n", + "Requirement already satisfied: charset-normalizer<3.0,>=2.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from aiohttp->datasets==2.9.0) (2.0.4)\n", + "Requirement already satisfied: attrs>=17.3.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from aiohttp->datasets==2.9.0) (22.2.0)\n", + "Requirement already satisfied: aiosignal>=1.1.2 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from aiohttp->datasets==2.9.0) (1.3.1)\n", + "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in 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already satisfied: certifi>=2017.4.17 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from requests>=2.19.0->datasets==2.9.0) (2022.12.7)\n", + "Requirement already satisfied: idna<4,>=2.5 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from requests>=2.19.0->datasets==2.9.0) (3.4)\n", + "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from requests>=2.19.0->datasets==2.9.0) (1.26.13)\n", + "Requirement already satisfied: pytz>=2020.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from pandas->datasets==2.9.0) (2022.7.1)\n", + "Requirement already satisfied: python-dateutil>=2.8.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from pandas->datasets==2.9.0) (2.8.2)\n", + "Requirement already satisfied: six>=1.5 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages (from python-dateutil>=2.8.1->pandas->datasets==2.9.0) (1.16.0)\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "%pip install datasets==2.9.0" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "from datasets import load_dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using custom data configuration default-f6bbdcd7a9e39254\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Downloading and preparing dataset json/default to /Users/derekthomas/.cache/huggingface/datasets/json/default-f6bbdcd7a9e39254/0.0.0/0f7e3662623656454fcd2b650f34e886a7db4b9104504885bd462096cc7a9f51...\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "10fc79d11c844a199f08fd21433484ed", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Downloading data files: 0%| | 0/1 [00:00: JSON parse error: Column() changed from object to string in row 0\n" + ] + }, + { + "ename": "DatasetGenerationError", + "evalue": "An error occurred while generating the dataset", + "output_type": "error", + "traceback": [ + "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m", + "\u001B[0;31mValueError\u001B[0m Traceback (most recent call last)", + "File \u001B[0;32m/opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages/datasets/builder.py:1819\u001B[0m, in \u001B[0;36mArrowBasedBuilder._prepare_split_single\u001B[0;34m(self, gen_kwargs, fpath, file_format, max_shard_size, job_id)\u001B[0m\n\u001B[1;32m 1818\u001B[0m _time \u001B[38;5;241m=\u001B[39m time\u001B[38;5;241m.\u001B[39mtime()\n\u001B[0;32m-> 1819\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m _, table \u001B[38;5;129;01min\u001B[39;00m generator:\n\u001B[1;32m 1820\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m max_shard_size \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;129;01mand\u001B[39;00m writer\u001B[38;5;241m.\u001B[39m_num_bytes \u001B[38;5;241m>\u001B[39m max_shard_size:\n", + "File \u001B[0;32m/opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages/datasets/packaged_modules/json/json.py:168\u001B[0m, in \u001B[0;36mJson._generate_tables\u001B[0;34m(self, files)\u001B[0m\n\u001B[1;32m 167\u001B[0m logger\u001B[38;5;241m.\u001B[39merror(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mFailed to read file \u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;132;01m{\u001B[39;00mfile\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124m with error \u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[38;5;28mtype\u001B[39m(e)\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m: \u001B[39m\u001B[38;5;132;01m{\u001B[39;00me\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m\"\u001B[39m)\n\u001B[0;32m--> 168\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\n\u001B[1;32m 169\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mNot able to read records in the JSON file at \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mfile\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m. \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 170\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mYou should probably indicate the field of the JSON file containing your records. \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 171\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mThis JSON file contain the following fields: \u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[38;5;28mstr\u001B[39m(\u001B[38;5;28mlist\u001B[39m(dataset\u001B[38;5;241m.\u001B[39mkeys()))\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m. \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 172\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mSelect the correct one and provide it as `field=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mXXX\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124m` to the dataset loading method. \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 173\u001B[0m ) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;28mNone\u001B[39m\n\u001B[1;32m 174\u001B[0m \u001B[38;5;66;03m# Uncomment for debugging (will print the Arrow table size and elements)\u001B[39;00m\n\u001B[1;32m 175\u001B[0m \u001B[38;5;66;03m# logger.warning(f\"pa_table: {pa_table} num rows: {pa_table.num_rows}\")\u001B[39;00m\n\u001B[1;32m 176\u001B[0m \u001B[38;5;66;03m# logger.warning('\\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))\u001B[39;00m\n", + "\u001B[0;31mValueError\u001B[0m: Not able to read records in the JSON file at /Users/derekthomas/projects/datasets/scienceQA/text/problems.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '110', '111', '112', '113', '114', '115', '116', '117', '118', '119', '120', '121', '122', '123', '124', '125', '126', '127', '128', '129', '130', '131', '132', '133', '134', '135', '136', '137', '138', '139', '140', '141', '142', '143', '144', '145', '146', '147', '148', '149', '150', '151', '152', '153', '154', '155', '156', '157', '158', '159', '160', '161', '162', '163', '164', '165', '166', '167', '168', '169', '170', '171', '172', '173', '174', '175', '176', '177', '178', '179', '180', '181', '182', '183', '184', '185', '186', '187', '188', '189', '190', '191', '192', '193', '194', '195', '196', '197', '198', '199', '200', '201', '202', '203', '204', '205', '206', '207', '208', '209', '210', '211', '212', '213', '214', '215', '216', '217', '218', '219', '220', '221', '222', '223', '224', '225', '226', '227', '228', '229', '230', '231', '232', '233', '234', '235', '236', '237', '238', '239', '240', '241', '242', '243', '244', '245', '246', '247', '248', '249', '250', '251', '252', '253', '254', '255', '256', '257', '258', '259', '260', '261', '262', '263', '264', '265', '266', '267', '268', '269', '270', '271', '272', '273', '274', '275', '276', '277', '278', '279', '280', '281', '282', '283', '284', '285', '286', '287', '288', '289', '290', '291', '292', '293', '294', '295', '296', '297', '298', '299', '300', '301', '302', '303', '304', '305', '306', '307', '308', '309', '310', '311', '312', '313', '314', '315', '316', '317', '318', '319', '320', '321', '322', '323', '324', '325', '326', '327', '328', '329', '330', '331', '332', '333', '334', '335', '336', '337', '338', '339', '340', '341', '342', '343', '344', '345', '346', '347', '348', '349', '350', '351', '352', '353', '354', '355', '356', '357', '358', '359', '360', '361', '362', '363', '364', '365', '366', '367', '368', '369', '370', '371', '372', '373', '374', '375', '376', '377', '378', '379', '380', '381', '382', '383', '384', '385', '386', '387', '388', '389', '390', '391', '392', '393', '394', '395', '396', '397', '398', '399', '400', '401', '402', '403', '404', '405', '406', '407', '408', '409', '410', '411', '412', '413', '414', '415', '416', '417', '418', '419', '420', '421', '422', '423', '424', '425', '426', '427', '428', '429', '430', '431', '432', '433', '434', '435', '436', '437', '438', '439', '440', '441', '442', '443', '444', '445', '446', '447', '448', '449', '450', '451', '452', '453', '454', '455', '456', '457', '458', '459', '460', '461', '462', '463', '464', '465', '466', '467', '468', '469', '470', '471', '472', '473', '474', '475', '476', '477', '478', '479', '480', '481', '482', '483', '484', '485', '486', '487', '488', '489', '490', '491', '492', '493', '494', '495', '496', '497', '498', '499', '500', '501', '502', '503', '504', '505', '506', '507', '508', '509', '510', '511', '512', '513', '514', '515', '516', '517', '518', '519', '520', '521', '522', '523', '524', '525', '526', '527', '528', '529', '530', '531', '532', '533', '534', '535', '536', '537', '538', '539', '540', '541', '542', '543', '544', '545', '546', '547', '548', '549', '550', '551', '552', '553', '554', '555', '556', '557', '558', '559', '560', '561', '562', '563', '564', '565', '566', '567', '568', '569', '570', '571', '572', '573', '574', '575', '576', '577', '578', '579', '580', 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'9633', '9634', '9635', '9636', '9637', '9638', '9639', '9640', '9641', '9642', '9643', '9644', '9645', '9646', '9647', '9648', '9649', '9650', '9651', '9652', '9653', '9654', '9655', '9656', '9657', '9658', '9659', '9660', '9661', '9662', '9663', '9664', '9665', '9666', '9667', '9668', '9669', '9670', '9671', '9672', '9673', '9674', '9675', '9676', '9677', '9678', '9679', '9680', '9681', '9682', '9683', '9684', '9685', '9686', '9687', '9688', '9689', '9690', '9691', '9692', '9693', '9694', '9695', '9696', '9697', '9698', '9699', '9700', '9701', '9702', '9703', '9704', '9705', '9706', '9707', '9708', '9709', '9710', '9711', '9712', '9713', '9714', '9715', '9716', '9717', '9718', '9719', '9720', '9721', '9722', '9723', '9724', '9725', '9726', '9727', '9728', '9729', '9730', '9731', '9732', '9733', '9734', '9735', '9736', '9737', '9738', '9739', '9740', '9741', '9742', '9743', '9744', '9745', '9746', '9747', '9748', '9749', '9750', '9751', '9752', '9753', '9754', '9755', '9756', '9757', '9758', '9759', '9760', '9761', '9762', '9763', '9764', '9765', '9766', '9767', '9768', '9769', '9770', '9771', '9772', '9773', '9774', '9775', '9776', '9777', '9778', '9779', '9780', '9781', '9782', '9783', '9784', '9785', '9786', '9787', '9788', '9789', '9790', '9791', '9792', '9793', '9794', '9795', '9796', '9797', '9798', '9799', '9800', '9801', '9802', '9803', '9804', '9805', '9806', '9807', '9808', '9809', '9810', '9811', '9812', '9813', '9814', '9815', '9816', '9817', '9818', '9819', '9820', '9821', '9822', '9823', '9824', '9825', '9826', '9827', '9828', '9829', '9830', '9831', '9832', '9833', '9834', '9835', '9836', '9837', '9838', '9839', '9840', '9841', '9842', '9843', '9844', '9845', '9846', '9847', '9848', '9849', '9850', '9851', '9852', '9853', '9854', '9855', '9856', '9857', '9858', '9859', '9860', '9861', '9862', '9863', '9864', '9865', '9866', '9867', '9868', '9869', '9870', '9871', '9872', '9873', '9874', '9875', '9876', '9877', '9878', '9879', '9880', '9881', '9882', '9883', '9884', '9885', '9886', '9887', '9888', '9889', '9890', '9891', '9892', '9893', '9894', '9895', '9896', '9897', '9898', '9899', '9900', '9901', '9902', '9903', '9904', '9905', '9906', '9907', '9908', '9909', '9910', '9911', '9912', '9913', '9914', '9915', '9916', '9917', '9918', '9919', '9920', '9921', '9922', '9923', '9924', '9925', '9926', '9927', '9928', '9929', '9930', '9931', '9932', '9933', '9934', '9935', '9936', '9937', '9938', '9939', '9940', '9941', '9942', '9943', '9944', '9945', '9946', '9947', '9948', '9949', '9950', '9951', '9952', '9953', '9954', '9955', '9956', '9957', '9958', '9959', '9960', '9961', '9962', '9963', '9964', '9965', '9966', '9967', '9968', '9969', '9970', '9971', '9972', '9973', '9974', '9975', '9976', '9977', '9978', '9979', '9980', '9981', '9982', '9983', '9984', '9985', '9986', '9987', '9988', '9989', '9990', '9991', '9992', '9993', '9994', '9995', '9996', '9997', '9998', '9999', '10000', '10001', '10002', '10003', '10004', '10005', '10006', '10007', '10008', '10009', '10010', '10011', '10012', '10013', '10014', '10015', '10016', '10017', '10018', '10019', '10020', '10021', '10022', '10023', '10024', '10025', '10026', '10027', '10028', '10029', '10030', '10031', '10032', '10033', '10034', '10035', '10036', '10037', '10038', '10039', '10040', '10041', '10042', '10043', '10044', '10045', '10046', '10047', '10048', '10049', '10050', '10051', '10052', '10053', '10054', '10055', '10056', '10057', '10058', '10059', '10060', '10061', '10062', '10063', '10064', '10065', '10066', '10067', '10068', '10069', '10070', '10071', '10072', '10073', '10074', '10075', '10076', '10077', '10078', '10079', '10080', '10081', '10082', '10083', '10084', '10085', '10086', '10087', '10088', '10089', '10090', '10091', '10092', '10093', '10094', '10095', '10096', '10097', '10098', '10099', '10100', '10101', '10102', '10103', '10104', '10105', '10106', '10107', '10108', '10109', '10110', '10111', '10112', '10113', '10114', '10115', '10116', '10117', '10118', '10119', '10120', '10121', '10122', '10123', '10124', '10125', '10126', '10127', '10128', '10129', '10130', '10131', '10132', '10133', '10134', '10135', '10136', '10137', '10138', '10139', '10140', '10141', '10142', '10143', '10144', '10145', '10146', '10147', '10148', '10149', '10150', '10151', '10152', '10153', '10154', '10155', '10156', '10157', '10158', '10159', '10160', '10161', '10162', '10163', '10164', '10165', '10166', '10167', '10168', '10169', '10170', '10171', '10172', '10173', '10174', '10175', '10176', '10177', '10178', '10179', '10180', '10181', '10182', '10183', '10184', '10185', '10186', '10187', '10188', '10189', '10190', '10191', '10192', '10193', '10194', '10195', '10196', '10197', '10198', '10199', '10200', '10201', '10202', '10203', '10204', '10205', '10206', '10207', '10208', '10209', '10210', '10211', '10212', '10213', '10214', '10215', '10216', '10217', '10218', '10219', '10220', '10221', '10222', '10223', '10224', '10225', '10226', '10227', '10228', '10229', '10230', '10231', '10232', '10233', '10234', '10235', '10236', '10237', '10238', '10239', '10240', '10241', '10242', '10243', '10244', '10245', '10246', '10247', '10248', '10249', '10250', '10251', '10252', '10253', '10254', '10255', '10256', '10257', '10258', '10259', '10260', '10261', '10262', '10263', '10264', '10265', '10266', '10267', '10268', '10269', '10270', '10271', '10272', '10273', '10274', '10275', '10276', '10277', '10278', '10279', '10280', '10281', '10282', '10283', '10284', '10285', '10286', '10287', '10288', '10289', '10290', '10291', '10292', '10293', '10294', '10295', '10296', '10297', '10298', '10299', '10300', '10301', '10302', '10303', '10304', '10305', '10306', '10307', '10308', '10309', '10310', '10311', '10312', '10313', '10314', '10315', '10316', '10317', '10318', '10319', '10320', '10321', '10322', '10323', '10324', '10325', '10326', '10327', '10328', '10329', '10330', '10331', '10332', '10333', '10334', '10335', '10336', '10337', '10338', '10339', '10340', '10341', '10342', '10343', '10344', '10345', '10346', '10347', '10348', '10349', '10350', '10351', '10352', '10353', '10354', '10355', '10356', '10357', '10358', '10359', '10360', '10361', '10362', '10363', '10364', '10365', '10366', '10367', '10368', '10369', '10370', '10371', '10372', '10373', '10374', '10375', '10376', '10377', '10378', '10379', '10380', '10381', '10382', '10383', '10384', '10385', '10386', '10387', '10388', '10389', '10390', '10391', '10392', '10393', '10394', '10395', '10396', '10397', '10398', '10399', '10400', '10401', '10402', '10403', '10404', '10405', '10406', '10407', '10408', '10409', '10410', '10411', '10412', '10413', '10414', '10415', '10416', '10417', '10418', '10419', '10420', '10421', '10422', '10423', '10424', '10425', '10426', '10427', '10428', '10429', '10430', '10431', '10432', '10433', '10434', '10435', '10436', '10437', '10438', '10439', '10440', '10441', '10442', '10443', '10444', '10445', '10446', '10447', '10448', '10449', '10450', '10451', '10452', '10453', '10454', '10455', '10456', '10457', '10458', '10459', '10460', '10461', '10462', '10463', '10464', '10465', '10466', '10467', '10468', '10469', '10470', '10471', '10472', '10473', '10474', '10475', '10476', '10477', '10478', '10479', '10480', '10481', '10482', '10483', '10484', '10485', '10486', '10487', '10488', '10489', '10490', '10491', '10492', '10493', '10494', '10495', '10496', '10497', '10498', '10499', '10500', '10501', '10502', '10503', '10504', '10505', '10506', '10507', '10508', '10509', '10510', '10511', '10512', '10513', '10514', '10515', '10516', '10517', '10518', '10519', '10520', '10521', '10522', '10523', '10524', '10525', '10526', '10527', '10528', '10529', '10530', '10531', '10532', '10533', '10534', '10535', '10536', '10537', '10538', '10539', '10540', '10541', '10542', '10543', '10544', '10545', '10546', '10547', '10548', '10549', '10550', '10551', '10552', '10553', '10554', '10555', '10556', '10557', '10558', '10559', '10560', '10561', '10562', '10563', '10564', '10565', '10566', '10567', '10568', '10569', '10570', '10571', '10572', '10573', '10574', '10575', '10576', '10577', '10578', '10579', '10580', '10581', '10582', '10583', '10584', '10585', '10586', '10587', '10588', '10589', '10590', '10591', '10592', '10593', '10594', '10595', '10596', '10597', '10598', '10599', '10600', '10601', '10602', '10603', '10604', '10605', '10606', '10607', '10608', '10609', '10610', '10611', '10612', '10613', '10614', '10615', '10616', '10617', '10618', '10619', '10620', '10621', '10622', '10623', '10624', '10625', '10626', '10627', '10628', '10629', '10630', '10631', '10632', '10633', '10634', '10635', '10636', '10637', '10638', '10639', '10640', '10641', '10642', '10643', '10644', '10645', '10646', '10647', '10648', '10649', '10650', '10651', '10652', '10653', '10654', '10655', '10656', '10657', '10658', '10659', '10660', '10661', '10662', '10663', '10664', '10665', '10666', '10667', '10668', '10669', '10670', '10671', '10672', '10673', '10674', '10675', '10676', '10677', '10678', '10679', '10680', '10681', '10682', '10683', '10684', '10685', '10686', '10687', '10688', '10689', '10690', '10691', '10692', '10693', '10694', '10695', '10696', '10697', '10698', '10699', '10700', '10701', '10702', '10703', '10704', '10705', '10706', '10707', '10708', '10709', '10710', '10711', '10712', '10713', '10714', '10715', '10716', '10717', '10718', '10719', '10720', '10721', '10722', '10723', '10724', '10725', '10726', '10727', '10728', '10729', '10730', '10731', '10732', '10733', '10734', '10735', '10736', '10737', '10738', '10739', '10740', '10741', '10742', '10743', '10744', '10745', '10746', '10747', '10748', '10749', '10750', '10751', '10752', '10753', '10754', '10755', '10756', '10757', '10758', '10759', '10760', '10761', '10762', '10763', '10764', '10765', '10766', '10767', '10768', '10769', '10770', '10771', '10772', '10773', '10774', '10775', '10776', '10777', '10778', '10779', '10780', '10781', '10782', '10783', '10784', '10785', '10786', '10787', '10788', '10789', '10790', '10791', '10792', '10793', '10794', '10795', '10796', '10797', '10798', '10799', '10800', '10801', '10802', '10803', '10804', '10805', '10806', '10807', '10808', '10809', '10810', '10811', '10812', '10813', '10814', '10815', '10816', '10817', '10818', '10819', '10820', '10821', '10822', '10823', '10824', '10825', '10826', '10827', '10828', '10829', '10830', '10831', '10832', '10833', '10834', '10835', '10836', '10837', '10838', '10839', '10840', '10841', '10842', '10843', '10844', '10845', '10846', '10847', '10848', '10849', '10850', '10851', '10852', '10853', '10854', '10855', '10856', '10857', '10858', '10859', '10860', '10861', '10862', '10863', '10864', '10865', '10866', '10867', '10868', '10869', '10870', '10871', '10872', '10873', '10874', '10875', '10876', '10877', '10878', '10879', '10880', '10881', '10882', '10883', '10884', '10885', '10886', '10887', '10888', '10889', '10890', '10891', '10892', '10893', '10894', '10895', '10896', '10897', '10898', '10899', '10900', '10901', '10902', '10903', '10904', '10905', '10906', '10907', '10908', '10909', '10910', '10911', '10912', '10913', '10914', '10915', '10916', '10917', '10918', '10919', '10920', '10921', '10922', '10923', '10924', '10925', '10926', '10927', '10928', '10929', '10930', '10931', '10932', '10933', '10934', '10935', '10936', '10937', '10938', '10939', '10940', '10941', '10942', '10943', '10944', '10945', '10946', '10947', '10948', '10949', '10950', '10951', '10952', '10953', '10954', '10955', '10956', '10957', '10958', '10959', '10960', '10961', '10962', '10963', '10964', '10965', '10966', '10967', '10968', '10969', '10970', '10971', '10972', '10973', '10974', '10975', '10976', '10977', '10978', '10979', '10980', '10981', '10982', '10983', '10984', '10985', '10986', '10987', '10988', '10989', '10990', '10991', '10992', '10993', '10994', '10995', '10996', '10997', '10998', '10999', '11000', '11001', '11002', '11003', '11004', '11005', '11006', '11007', '11008', '11009', '11010', '11011', '11012', '11013', '11014', '11015', '11016', '11017', '11018', '11019', '11020', '11021', '11022', '11023', '11024', '11025', '11026', '11027', '11028', '11029', '11030', '11031', '11032', '11033', '11034', '11035', '11036', '11037', '11038', '11039', '11040', '11041', '11042', '11043', '11044', '11045', '11046', '11047', '11048', '11049', '11050', '11051', '11052', '11053', '11054', '11055', '11056', '11057', '11058', '11059', '11060', '11061', '11062', '11063', '11064', '11065', '11066', '11067', '11068', '11069', '11070', '11071', '11072', '11073', '11074', '11075', '11076', '11077', '11078', '11079', '11080', '11081', '11082', '11083', '11084', '11085', '11086', '11087', '11088', '11089', '11090', '11091', '11092', '11093', '11094', '11095', '11096', '11097', '11098', '11099', '11100', '11101', '11102', '11103', '11104', '11105', '11106', '11107', '11108', '11109', '11110', '11111', '11112', '11113', '11114', '11115', '11116', '11117', '11118', '11119', '11120', '11121', '11122', '11123', '11124', '11125', '11126', '11127', '11128', '11129', '11130', '11131', '11132', '11133', '11134', '11135', '11136', '11137', '11138', '11139', '11140', '11141', '11142', '11143', '11144', '11145', '11146', '11147', '11148', '11149', '11150', '11151', '11152', '11153', '11154', '11155', '11156', '11157', '11158', '11159', '11160', '11161', '11162', '11163', '11164', '11165', '11166', '11167', '11168', '11169', '11170', '11171', '11172', '11173', '11174', '11175', '11176', '11177', '11178', '11179', '11180', '11181', '11182', '11183', '11184', '11185', '11186', '11187', '11188', '11189', '11190', '11191', '11192', '11193', '11194', '11195', '11196', '11197', '11198', '11199', '11200', '11201', '11202', '11203', '11204', '11205', '11206', '11207', '11208', '11209', '11210', '11211', '11212', '11213', '11214', '11215', '11216', '11217', '11218', '11219', '11220', '11221', '11222', '11223', '11224', '11225', '11226', '11227', '11228', '11229', '11230', '11231', '11232', '11233', '11234', '11235', '11236', '11237', '11238', '11239', '11240', '11241', '11242', '11243', '11244', '11245', '11246', '11247', '11248', '11249', '11250', '11251', '11252', '11253', '11254', '11255', '11256', '11257', '11258', '11259', '11260', '11261', '11262', '11263', '11264', '11265', '11266', '11267', '11268', '11269', '11270', '11271', '11272', '11273', '11274', '11275', '11276', '11277', '11278', '11279', '11280', '11281', '11282', '11283', '11284', '11285', '11286', '11287', '11288', '11289', '11290', '11291', '11292', '11293', '11294', '11295', '11296', '11297', '11298', '11299', '11300', '11301', '11302', '11303', '11304', '11305', '11306', '11307', '11308', '11309', '11310', '11311', '11312', '11313', '11314', '11315', '11316', '11317', '11318', '11319', '11320', '11321', '11322', '11323', '11324', '11325', '11326', '11327', '11328', '11329', '11330', '11331', '11332', '11333', '11334', '11335', '11336', '11337', '11338', 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'11894', '11895', '11896', '11897', '11898', '11899', '11900', '11901', '11902', '11903', '11904', '11905', '11906', '11907', '11908', '11909', '11910', '11911', '11912', '11913', '11914', '11915', '11916', '11917', '11918', '11919', '11920', '11921', '11922', '11923', '11924', '11925', '11926', '11927', '11928', '11929', '11930', '11931', '11932', '11933', '11934', '11935', '11936', '11937', '11938', '11939', '11940', '11941', '11942', '11943', '11944', '11945', '11946', '11947', '11948', '11949', '11950', '11951', '11952', '11953', '11954', '11955', '11956', '11957', '11958', '11959', '11960', '11961', '11962', '11963', '11964', '11965', '11966', '11967', '11968', '11969', '11970', '11971', '11972', '11973', '11974', '11975', '11976', '11977', '11978', '11979', '11980', '11981', '11982', '11983', '11984', '11985', '11986', '11987', '11988', '11989', '11990', '11991', '11992', '11993', '11994', '11995', '11996', '11997', '11998', '11999', '12000', '12001', '12002', '12003', '12004', '12005', '12006', '12007', '12008', '12009', '12010', '12011', '12012', '12013', '12014', '12015', '12016', '12017', '12018', '12019', '12020', '12021', '12022', '12023', '12024', '12025', '12026', '12027', '12028', '12029', '12030', '12031', '12032', '12033', '12034', '12035', '12036', '12037', '12038', '12039', '12040', '12041', '12042', '12043', '12044', '12045', '12046', '12047', '12048', '12049', '12050', '12051', '12052', '12053', '12054', '12055', '12056', '12057', '12058', '12059', '12060', '12061', '12062', '12063', '12064', '12065', '12066', '12067', '12068', '12069', '12070', '12071', '12072', '12073', '12074', '12075', '12076', '12077', '12078', '12079', '12080', '12081', '12082', '12083', '12084', '12085', '12086', '12087', '12088', '12089', '12090', '12091', '12092', '12093', '12094', '12095', '12096', '12097', '12098', '12099', '12100', '12101', '12102', '12103', '12104', '12105', '12106', '12107', '12108', '12109', '12110', '12111', '12112', '12113', '12114', '12115', '12116', '12117', '12118', '12119', '12120', '12121', '12122', '12123', '12124', '12125', '12126', '12127', '12128', '12129', '12130', '12131', '12132', '12133', '12134', '12135', '12136', '12137', '12138', '12139', '12140', '12141', '12142', '12143', '12144', '12145', '12146', '12147', '12148', '12149', '12150', '12151', '12152', '12153', '12154', '12155', '12156', '12157', '12158', '12159', '12160', '12161', '12162', '12163', '12164', '12165', '12166', '12167', '12168', '12169', '12170', '12171', '12172', '12173', '12174', '12175', '12176', '12177', '12178', '12179', '12180', '12181', '12182', '12183', '12184', '12185', '12186', '12187', '12188', '12189', '12190', '12191', '12192', '12193', '12194', '12195', '12196', '12197', '12198', '12199', '12200', '12201', '12202', '12203', '12204', '12205', '12206', '12207', '12208', '12209', '12210', '12211', '12212', '12213', '12214', '12215', '12216', '12217', '12218', '12219', '12220', '12221', '12222', '12223', '12224', '12225', '12226', '12227', '12228', '12229', '12230', '12231', '12232', '12233', '12234', '12235', '12236', '12237', '12238', '12239', '12240', '12241', '12242', '12243', '12244', '12245', '12246', '12247', '12248', '12249', '12250', '12251', '12252', '12253', '12254', '12255', '12256', '12257', '12258', '12259', '12260', '12261', '12262', '12263', '12264', '12265', '12266', '12267', '12268', '12269', '12270', '12271', '12272', '12273', '12274', '12275', '12276', '12277', '12278', '12279', '12280', '12281', '12282', '12283', '12284', '12285', '12286', '12287', '12288', '12289', '12290', '12291', '12292', '12293', '12294', '12295', '12296', '12297', '12298', '12299', '12300', '12301', '12302', '12303', '12304', '12305', '12306', '12307', '12308', '12309', '12310', '12311', '12312', '12313', '12314', '12315', '12316', '12317', '12318', '12319', '12320', '12321', '12322', '12323', '12324', '12325', '12326', '12327', '12328', '12329', '12330', '12331', '12332', '12333', '12334', '12335', '12336', '12337', 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'12449', '12450', '12451', '12452', '12453', '12454', '12455', '12456', '12457', '12458', '12459', '12460', '12461', '12462', '12463', '12464', '12465', '12466', '12467', '12468', '12469', '12470', '12471', '12472', '12473', '12474', '12475', '12476', '12477', '12478', '12479', '12480', '12481', '12482', '12483', '12484', '12485', '12486', '12487', '12488', '12489', '12490', '12491', '12492', '12493', '12494', '12495', '12496', '12497', '12498', '12499', '12500', '12501', '12502', '12503', '12504', '12505', '12506', '12507', '12508', '12509', '12510', '12511', '12512', '12513', '12514', '12515', '12516', '12517', '12518', '12519', '12520', '12521', '12522', '12523', '12524', '12525', '12526', '12527', '12528', '12529', '12530', '12531', '12532', '12533', '12534', '12535', '12536', '12537', '12538', '12539', '12540', '12541', '12542', '12543', '12544', '12545', '12546', '12547', '12548', '12549', '12550', '12551', '12552', '12553', '12554', '12555', '12556', '12557', '12558', '12559', '12560', '12561', '12562', '12563', '12564', '12565', '12566', '12567', '12568', '12569', '12570', '12571', '12572', '12573', '12574', '12575', '12576', '12577', '12578', '12579', '12580', '12581', '12582', '12583', '12584', '12585', '12586', '12587', '12588', '12589', '12590', '12591', '12592', '12593', '12594', '12595', '12596', '12597', '12598', '12599', '12600', '12601', '12602', '12603', '12604', '12605', '12606', '12607', '12608', '12609', '12610', '12611', '12612', '12613', '12614', '12615', '12616', '12617', '12618', '12619', '12620', '12621', '12622', '12623', '12624', '12625', '12626', '12627', '12628', '12629', '12630', '12631', '12632', '12633', '12634', '12635', '12636', '12637', '12638', '12639', '12640', '12641', '12642', '12643', '12644', '12645', '12646', '12647', '12648', '12649', '12650', '12651', '12652', '12653', '12654', '12655', '12656', '12657', '12658', '12659', '12660', '12661', '12662', '12663', '12664', '12665', '12666', '12667', '12668', '12669', '12670', '12671', '12672', '12673', '12674', '12675', '12676', '12677', '12678', '12679', '12680', '12681', '12682', '12683', '12684', '12685', '12686', '12687', '12688', '12689', '12690', '12691', '12692', '12693', '12694', '12695', '12696', '12697', '12698', '12699', '12700', '12701', '12702', '12703', '12704', '12705', '12706', '12707', '12708', '12709', '12710', '12711', '12712', '12713', '12714', '12715', '12716', '12717', '12718', '12719', '12720', '12721', '12722', '12723', '12724', '12725', '12726', '12727', '12728', '12729', '12730', '12731', '12732', '12733', '12734', '12735', '12736', '12737', '12738', '12739', '12740', '12741', '12742', '12743', '12744', '12745', '12746', '12747', '12748', '12749', '12750', '12751', '12752', '12753', '12754', '12755', '12756', '12757', '12758', '12759', '12760', '12761', '12762', '12763', '12764', '12765', '12766', '12767', '12768', '12769', '12770', '12771', '12772', '12773', '12774', '12775', '12776', '12777', '12778', '12779', '12780', '12781', '12782', '12783', '12784', '12785', '12786', '12787', '12788', '12789', '12790', '12791', '12792', '12793', '12794', '12795', '12796', '12797', '12798', '12799', '12800', '12801', '12802', '12803', '12804', '12805', '12806', '12807', '12808', '12809', '12810', '12811', '12812', '12813', '12814', '12815', '12816', '12817', '12818', '12819', '12820', '12821', '12822', '12823', '12824', '12825', '12826', '12827', '12828', '12829', '12830', '12831', '12832', '12833', '12834', '12835', '12836', '12837', '12838', '12839', '12840', '12841', '12842', '12843', '12844', '12845', '12846', '12847', '12848', '12849', '12850', '12851', '12852', '12853', '12854', '12855', '12856', '12857', '12858', '12859', '12860', '12861', '12862', '12863', '12864', '12865', '12866', '12867', '12868', '12869', '12870', '12871', '12872', '12873', '12874', '12875', '12876', '12877', '12878', '12879', '12880', '12881', '12882', '12883', '12884', '12885', '12886', '12887', '12888', '12889', '12890', '12891', '12892', 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'14225', '14226', '14227', '14228', '14229', '14230', '14231', '14232', '14233', '14234', '14235', '14236', '14237', '14238', '14239', '14240', '14241', '14242', '14243', '14244', '14245', '14246', '14247', '14248', '14249', '14250', '14251', '14252', '14253', '14254', '14255', '14256', '14257', '14258', '14259', '14260', '14261', '14262', '14263', '14264', '14265', '14266', '14267', '14268', '14269', '14270', '14271', '14272', '14273', '14274', '14275', '14276', '14277', '14278', '14279', '14280', '14281', '14282', '14283', '14284', '14285', '14286', '14287', '14288', '14289', '14290', '14291', '14292', '14293', '14294', '14295', '14296', '14297', '14298', '14299', '14300', '14301', '14302', '14303', '14304', '14305', '14306', '14307', '14308', '14309', '14310', '14311', '14312', '14313', '14314', '14315', '14316', '14317', '14318', '14319', '14320', '14321', '14322', '14323', '14324', '14325', '14326', '14327', '14328', '14329', '14330', '14331', '14332', '14333', '14334', '14335', 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'18110', '18111', '18112', '18113', '18114', '18115', '18116', '18117', '18118', '18119', '18120', '18121', '18122', '18123', '18124', '18125', '18126', '18127', '18128', '18129', '18130', '18131', '18132', '18133', '18134', '18135', '18136', '18137', '18138', '18139', '18140', '18141', '18142', '18143', '18144', '18145', '18146', '18147', '18148', '18149', '18150', '18151', '18152', '18153', '18154', '18155', '18156', '18157', '18158', '18159', '18160', '18161', '18162', '18163', '18164', '18165', '18166', '18167', '18168', '18169', '18170', '18171', '18172', '18173', '18174', '18175', '18176', '18177', '18178', '18179', '18180', '18181', '18182', '18183', '18184', '18185', '18186', '18187', '18188', '18189', '18190', '18191', '18192', '18193', '18194', '18195', '18196', '18197', '18198', '18199', '18200', '18201', '18202', '18203', '18204', '18205', '18206', '18207', '18208', '18209', '18210', '18211', '18212', '18213', '18214', '18215', '18216', '18217', '18218', '18219', '18220', 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'18332', '18333', '18334', '18335', '18336', '18337', '18338', '18339', '18340', '18341', '18342', '18343', '18344', '18345', '18346', '18347', '18348', '18349', '18350', '18351', '18352', '18353', '18354', '18355', '18356', '18357', '18358', '18359', '18360', '18361', '18362', '18363', '18364', '18365', '18366', '18367', '18368', '18369', '18370', '18371', '18372', '18373', '18374', '18375', '18376', '18377', '18378', '18379', '18380', '18381', '18382', '18383', '18384', '18385', '18386', '18387', '18388', '18389', '18390', '18391', '18392', '18393', '18394', '18395', '18396', '18397', '18398', '18399', '18400', '18401', '18402', '18403', '18404', '18405', '18406', '18407', '18408', '18409', '18410', '18411', '18412', '18413', '18414', '18415', '18416', '18417', '18418', '18419', '18420', '18421', '18422', '18423', '18424', '18425', '18426', '18427', '18428', '18429', '18430', '18431', '18432', '18433', '18434', '18435', '18436', '18437', '18438', '18439', '18440', '18441', '18442', '18443', '18444', '18445', '18446', '18447', '18448', '18449', '18450', '18451', '18452', '18453', '18454', '18455', '18456', '18457', '18458', '18459', '18460', '18461', '18462', '18463', '18464', '18465', '18466', '18467', '18468', '18469', '18470', '18471', '18472', '18473', '18474', '18475', '18476', '18477', '18478', '18479', '18480', '18481', '18482', '18483', '18484', '18485', '18486', '18487', '18488', '18489', '18490', '18491', '18492', '18493', '18494', '18495', '18496', '18497', '18498', '18499', '18500', '18501', '18502', '18503', '18504', '18505', '18506', '18507', '18508', '18509', '18510', '18511', '18512', '18513', '18514', '18515', '18516', '18517', '18518', '18519', '18520', '18521', '18522', '18523', '18524', '18525', '18526', '18527', '18528', '18529', '18530', '18531', '18532', '18533', '18534', '18535', '18536', '18537', '18538', '18539', '18540', '18541', '18542', '18543', '18544', '18545', '18546', '18547', '18548', '18549', '18550', '18551', '18552', '18553', 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'18665', '18666', '18667', '18668', '18669', '18670', '18671', '18672', '18673', '18674', '18675', '18676', '18677', '18678', '18679', '18680', '18681', '18682', '18683', '18684', '18685', '18686', '18687', '18688', '18689', '18690', '18691', '18692', '18693', '18694', '18695', '18696', '18697', '18698', '18699', '18700', '18701', '18702', '18703', '18704', '18705', '18706', '18707', '18708', '18709', '18710', '18711', '18712', '18713', '18714', '18715', '18716', '18717', '18718', '18719', '18720', '18721', '18722', '18723', '18724', '18725', '18726', '18727', '18728', '18729', '18730', '18731', '18732', '18733', '18734', '18735', '18736', '18737', '18738', '18739', '18740', '18741', '18742', '18743', '18744', '18745', '18746', '18747', '18748', '18749', '18750', '18751', '18752', '18753', '18754', '18755', '18756', '18757', '18758', '18759', '18760', '18761', '18762', '18763', '18764', '18765', '18766', '18767', '18768', '18769', '18770', '18771', '18772', '18773', '18774', '18775', '18776', '18777', '18778', '18779', '18780', '18781', '18782', '18783', '18784', '18785', '18786', '18787', '18788', '18789', '18790', '18791', '18792', '18793', '18794', '18795', '18796', '18797', '18798', '18799', '18800', '18801', '18802', '18803', '18804', '18805', '18806', '18807', '18808', '18809', '18810', '18811', '18812', '18813', '18814', '18815', '18816', '18817', '18818', '18819', '18820', '18821', '18822', '18823', '18824', '18825', '18826', '18827', '18828', '18829', '18830', '18831', '18832', '18833', '18834', '18835', '18836', '18837', '18838', '18839', '18840', '18841', '18842', '18843', '18844', '18845', '18846', '18847', '18848', '18849', '18850', '18851', '18852', '18853', '18854', '18855', '18856', '18857', '18858', '18859', '18860', '18861', '18862', '18863', '18864', '18865', '18866', '18867', '18868', '18869', '18870', '18871', '18872', '18873', '18874', '18875', '18876', '18877', '18878', '18879', '18880', '18881', '18882', '18883', '18884', '18885', '18886', '18887', '18888', '18889', '18890', '18891', '18892', '18893', '18894', '18895', '18896', '18897', '18898', '18899', '18900', '18901', '18902', '18903', '18904', '18905', '18906', '18907', '18908', '18909', '18910', '18911', '18912', '18913', '18914', '18915', '18916', '18917', '18918', '18919', '18920', '18921', '18922', '18923', '18924', '18925', '18926', '18927', '18928', '18929', '18930', '18931', '18932', '18933', '18934', '18935', '18936', '18937', '18938', '18939', '18940', '18941', '18942', '18943', '18944', '18945', '18946', '18947', '18948', '18949', '18950', '18951', '18952', '18953', '18954', '18955', '18956', '18957', '18958', '18959', '18960', '18961', '18962', '18963', '18964', '18965', '18966', '18967', '18968', '18969', '18970', '18971', '18972', '18973', '18974', '18975', '18976', '18977', '18978', '18979', '18980', '18981', '18982', '18983', '18984', '18985', '18986', '18987', '18988', '18989', '18990', '18991', '18992', '18993', '18994', '18995', '18996', '18997', '18998', '18999', '19000', '19001', '19002', '19003', '19004', '19005', '19006', '19007', '19008', '19009', '19010', '19011', '19012', '19013', '19014', '19015', '19016', '19017', '19018', '19019', '19020', '19021', '19022', '19023', '19024', '19025', '19026', '19027', '19028', '19029', '19030', '19031', '19032', '19033', '19034', '19035', '19036', '19037', '19038', '19039', '19040', '19041', '19042', '19043', '19044', '19045', '19046', '19047', '19048', '19049', '19050', '19051', '19052', '19053', '19054', '19055', '19056', '19057', '19058', '19059', '19060', '19061', '19062', '19063', '19064', '19065', '19066', '19067', '19068', '19069', '19070', '19071', '19072', '19073', '19074', '19075', '19076', '19077', '19078', '19079', '19080', '19081', '19082', '19083', '19084', '19085', '19086', '19087', '19088', '19089', '19090', '19091', '19092', '19093', '19094', '19095', '19096', '19097', '19098', '19099', '19100', '19101', '19102', '19103', '19104', '19105', '19106', '19107', '19108', '19109', '19110', '19111', '19112', '19113', '19114', '19115', '19116', '19117', '19118', '19119', '19120', '19121', '19122', '19123', '19124', '19125', '19126', '19127', '19128', '19129', '19130', '19131', '19132', '19133', '19134', '19135', '19136', '19137', '19138', '19139', '19140', '19141', '19142', '19143', '19144', '19145', '19146', '19147', '19148', '19149', '19150', '19151', '19152', '19153', '19154', '19155', '19156', '19157', '19158', '19159', '19160', '19161', '19162', '19163', '19164', '19165', '19166', '19167', '19168', '19169', '19170', '19171', '19172', '19173', '19174', '19175', '19176', '19177', '19178', '19179', '19180', '19181', '19182', '19183', '19184', '19185', '19186', '19187', '19188', '19189', '19190', '19191', '19192', '19193', '19194', '19195', '19196', '19197', '19198', '19199', '19200', '19201', '19202', '19203', '19204', '19205', '19206', '19207', '19208', '19209', '19210', '19211', '19212', '19213', '19214', '19215', '19216', '19217', '19218', '19219', '19220', '19221', '19222', '19223', '19224', '19225', '19226', '19227', '19228', '19229', '19230', '19231', '19232', '19233', '19234', '19235', '19236', '19237', '19238', '19239', '19240', '19241', '19242', '19243', '19244', '19245', '19246', '19247', '19248', '19249', '19250', '19251', '19252', '19253', '19254', '19255', '19256', '19257', '19258', '19259', '19260', '19261', '19262', '19263', '19264', '19265', '19266', '19267', '19268', '19269', '19270', '19271', '19272', '19273', '19274', '19275', '19276', '19277', '19278', '19279', '19280', '19281', '19282', '19283', '19284', '19285', '19286', '19287', '19288', '19289', '19290', '19291', '19292', '19293', '19294', '19295', '19296', '19297', '19298', '19299', '19300', '19301', '19302', '19303', '19304', '19305', '19306', '19307', '19308', '19309', '19310', '19311', '19312', '19313', '19314', '19315', '19316', '19317', '19318', '19319', '19320', '19321', '19322', '19323', '19324', '19325', '19326', '19327', '19328', '19329', '19330', '19331', '19332', '19333', '19334', '19335', '19336', '19337', '19338', '19339', '19340', '19341', '19342', '19343', '19344', '19345', '19346', '19347', '19348', '19349', '19350', '19351', '19352', '19353', '19354', '19355', '19356', '19357', '19358', '19359', '19360', '19361', '19362', '19363', '19364', '19365', '19366', '19367', '19368', '19369', '19370', '19371', '19372', '19373', '19374', '19375', '19376', '19377', '19378', '19379', '19380', '19381', '19382', '19383', '19384', '19385', '19386', '19387', '19388', '19389', '19390', '19391', '19392', '19393', '19394', '19395', '19396', '19397', '19398', '19399', '19400', '19401', '19402', '19403', '19404', '19405', '19406', '19407', '19408', '19409', '19410', '19411', '19412', '19413', '19414', '19415', '19416', '19417', '19418', '19419', '19420', '19421', '19422', '19423', '19424', '19425', '19426', '19427', '19428', '19429', '19430', '19431', '19432', '19433', '19434', '19435', '19436', '19437', '19438', '19439', '19440', '19441', '19442', '19443', '19444', '19445', '19446', '19447', '19448', '19449', '19450', '19451', '19452', '19453', '19454', '19455', '19456', '19457', '19458', '19459', '19460', '19461', '19462', '19463', '19464', '19465', '19466', '19467', '19468', '19469', '19470', '19471', '19472', '19473', '19474', '19475', '19476', '19477', '19478', '19479', '19480', '19481', '19482', '19483', '19484', '19485', '19486', '19487', '19488', '19489', '19490', '19491', '19492', '19493', '19494', '19495', '19496', '19497', '19498', '19499', '19500', '19501', '19502', '19503', '19504', '19505', '19506', '19507', '19508', '19509', '19510', '19511', '19512', '19513', '19514', '19515', '19516', '19517', '19518', '19519', '19520', '19521', '19522', '19523', '19524', '19525', '19526', '19527', '19528', '19529', '19530', '19531', '19532', '19533', '19534', '19535', '19536', '19537', '19538', '19539', '19540', '19541', '19542', '19543', '19544', '19545', '19546', '19547', '19548', '19549', '19550', '19551', '19552', '19553', '19554', '19555', '19556', '19557', '19558', '19559', '19560', '19561', '19562', '19563', '19564', '19565', '19566', '19567', '19568', '19569', '19570', '19571', '19572', '19573', '19574', '19575', '19576', '19577', '19578', '19579', '19580', '19581', '19582', '19583', '19584', '19585', '19586', '19587', '19588', '19589', '19590', '19591', '19592', '19593', '19594', '19595', '19596', '19597', '19598', '19599', '19600', '19601', '19602', '19603', '19604', '19605', '19606', '19607', '19608', '19609', '19610', '19611', '19612', '19613', '19614', '19615', '19616', '19617', '19618', '19619', '19620', '19621', '19622', '19623', '19624', '19625', '19626', '19627', '19628', '19629', '19630', '19631', '19632', '19633', '19634', '19635', '19636', '19637', '19638', '19639', '19640', '19641', '19642', '19643', '19644', '19645', '19646', '19647', '19648', '19649', '19650', '19651', '19652', '19653', '19654', '19655', '19656', '19657', '19658', '19659', '19660', '19661', '19662', '19663', '19664', '19665', '19666', '19667', '19668', '19669', '19670', '19671', '19672', '19673', '19674', '19675', '19676', '19677', '19678', '19679', '19680', '19681', '19682', '19683', '19684', '19685', '19686', '19687', '19688', '19689', '19690', '19691', '19692', '19693', '19694', '19695', '19696', '19697', '19698', '19699', '19700', '19701', '19702', '19703', '19704', '19705', '19706', '19707', '19708', '19709', '19710', '19711', '19712', '19713', '19714', '19715', '19716', '19717', '19718', '19719', '19720', '19721', '19722', '19723', '19724', '19725', '19726', '19727', '19728', '19729', '19730', '19731', '19732', '19733', '19734', '19735', '19736', '19737', '19738', '19739', '19740', '19741', '19742', '19743', '19744', '19745', '19746', '19747', '19748', '19749', '19750', '19751', '19752', '19753', '19754', '19755', '19756', '19757', '19758', '19759', '19760', '19761', '19762', '19763', '19764', '19765', '19766', '19767', '19768', '19769', '19770', '19771', '19772', '19773', '19774', '19775', '19776', '19777', '19778', '19779', '19780', '19781', '19782', '19783', '19784', '19785', '19786', '19787', '19788', '19789', '19790', '19791', '19792', '19793', '19794', '19795', '19796', '19797', '19798', '19799', '19800', '19801', '19802', '19803', '19804', '19805', '19806', '19807', '19808', '19809', '19810', '19811', '19812', '19813', '19814', '19815', '19816', '19817', '19818', '19819', '19820', '19821', '19822', '19823', '19824', '19825', '19826', '19827', '19828', '19829', '19830', '19831', '19832', '19833', '19834', '19835', '19836', '19837', '19838', '19839', '19840', '19841', '19842', '19843', '19844', '19845', '19846', '19847', '19848', '19849', '19850', '19851', '19852', '19853', '19854', '19855', '19856', '19857', '19858', '19859', '19860', '19861', '19862', '19863', '19864', '19865', '19866', '19867', '19868', '19869', '19870', '19871', '19872', '19873', '19874', '19875', '19876', '19877', '19878', '19879', '19880', '19881', '19882', '19883', '19884', '19885', '19886', '19887', '19888', '19889', '19890', '19891', '19892', '19893', '19894', '19895', '19896', '19897', '19898', '19899', '19900', '19901', '19902', '19903', '19904', '19905', '19906', '19907', '19908', '19909', '19910', '19911', '19912', '19913', '19914', '19915', '19916', '19917', '19918', '19919', '19920', '19921', '19922', '19923', '19924', '19925', '19926', '19927', '19928', '19929', '19930', '19931', '19932', '19933', '19934', '19935', '19936', '19937', '19938', '19939', '19940', '19941', '19942', '19943', '19944', '19945', '19946', '19947', '19948', '19949', '19950', '19951', '19952', '19953', '19954', '19955', '19956', '19957', '19958', '19959', '19960', '19961', '19962', '19963', '19964', '19965', '19966', '19967', '19968', '19969', '19970', '19971', '19972', '19973', '19974', '19975', '19976', '19977', '19978', '19979', '19980', '19981', '19982', '19983', '19984', '19985', '19986', '19987', '19988', '19989', '19990', '19991', '19992', '19993', '19994', '19995', '19996', '19997', '19998', '19999', '20000', '20001', '20002', '20003', '20004', '20005', '20006', '20007', '20008', '20009', '20010', '20011', '20012', '20013', '20014', '20015', '20016', '20017', '20018', '20019', '20020', '20021', '20022', '20023', '20024', '20025', '20026', '20027', '20028', '20029', '20030', '20031', '20032', '20033', '20034', '20035', '20036', '20037', '20038', '20039', '20040', '20041', '20042', '20043', '20044', '20045', '20046', '20047', '20048', '20049', '20050', '20051', '20052', '20053', '20054', '20055', '20056', '20057', '20058', '20059', '20060', '20061', '20062', '20063', '20064', '20065', '20066', '20067', '20068', '20069', '20070', '20071', '20072', '20073', '20074', '20075', '20076', '20077', '20078', '20079', '20080', '20081', '20082', '20083', '20084', '20085', '20086', '20087', '20088', '20089', '20090', '20091', '20092', '20093', '20094', '20095', '20096', '20097', '20098', '20099', '20100', '20101', '20102', '20103', '20104', '20105', '20106', '20107', '20108', '20109', '20110', '20111', '20112', '20113', '20114', '20115', '20116', '20117', '20118', '20119', '20120', '20121', '20122', '20123', '20124', '20125', '20126', '20127', '20128', '20129', '20130', '20131', '20132', '20133', '20134', '20135', '20136', '20137', '20138', '20139', '20140', '20141', '20142', '20143', '20144', '20145', '20146', '20147', '20148', '20149', '20150', '20151', '20152', '20153', '20154', '20155', '20156', '20157', '20158', '20159', '20160', '20161', '20162', '20163', '20164', '20165', '20166', '20167', '20168', '20169', '20170', '20171', '20172', '20173', '20174', '20175', '20176', '20177', '20178', '20179', '20180', '20181', '20182', '20183', '20184', '20185', '20186', '20187', '20188', '20189', '20190', '20191', '20192', '20193', '20194', '20195', '20196', '20197', '20198', '20199', '20200', '20201', '20202', '20203', '20204', '20205', '20206', '20207', '20208', '20209', '20210', '20211', '20212', '20213', '20214', '20215', '20216', '20217', '20218', '20219', '20220', '20221', '20222', '20223', '20224', '20225', '20226', '20227', '20228', '20229', '20230', '20231', '20232', '20233', '20234', '20235', '20236', '20237', '20238', '20239', '20240', '20241', '20242', '20243', '20244', '20245', '20246', '20247', '20248', '20249', '20250', '20251', '20252', '20253', '20254', '20255', '20256', '20257', '20258', '20259', '20260', '20261', '20262', '20263', '20264', '20265', '20266', '20267', '20268', '20269', '20270', '20271', '20272', '20273', '20274', '20275', '20276', '20277', '20278', '20279', '20280', '20281', '20282', '20283', '20284', '20285', '20286', '20287', '20288', '20289', '20290', '20291', '20292', '20293', '20294', '20295', '20296', '20297', '20298', '20299', '20300', '20301', '20302', '20303', '20304', '20305', '20306', '20307', '20308', '20309', '20310', '20311', '20312', '20313', '20314', '20315', '20316', '20317', '20318', '20319', '20320', '20321', '20322', '20323', '20324', '20325', '20326', '20327', '20328', '20329', '20330', '20331', '20332', '20333', '20334', '20335', '20336', '20337', '20338', '20339', '20340', '20341', '20342', '20343', '20344', '20345', '20346', '20347', '20348', '20349', '20350', '20351', '20352', '20353', '20354', '20355', '20356', '20357', '20358', '20359', '20360', '20361', '20362', '20363', '20364', '20365', '20366', '20367', '20368', '20369', '20370', '20371', '20372', '20373', '20374', '20375', '20376', '20377', '20378', '20379', '20380', '20381', '20382', '20383', '20384', '20385', '20386', '20387', '20388', '20389', '20390', '20391', '20392', '20393', '20394', '20395', '20396', '20397', '20398', '20399', '20400', '20401', '20402', '20403', '20404', '20405', '20406', '20407', '20408', '20409', '20410', '20411', '20412', '20413', '20414', '20415', '20416', '20417', '20418', '20419', '20420', '20421', '20422', '20423', '20424', '20425', '20426', '20427', '20428', '20429', '20430', '20431', '20432', '20433', '20434', '20435', '20436', '20437', '20438', '20439', '20440', '20441', '20442', '20443', '20444', '20445', '20446', '20447', '20448', '20449', '20450', '20451', '20452', '20453', '20454', '20455', '20456', '20457', '20458', '20459', '20460', '20461', '20462', '20463', '20464', '20465', '20466', '20467', '20468', '20469', '20470', '20471', '20472', '20473', '20474', '20475', '20476', '20477', '20478', '20479', '20480', '20481', '20482', '20483', '20484', '20485', '20486', '20487', '20488', '20489', '20490', '20491', '20492', '20493', '20494', '20495', '20496', '20497', '20498', '20499', '20500', '20501', '20502', '20503', '20504', '20505', '20506', '20507', '20508', '20509', '20510', '20511', '20512', '20513', '20514', '20515', '20516', '20517', '20518', '20519', '20520', '20521', '20522', '20523', '20524', '20525', '20526', '20527', '20528', '20529', '20530', '20531', '20532', '20533', '20534', '20535', '20536', '20537', '20538', '20539', '20540', '20541', '20542', '20543', '20544', '20545', '20546', '20547', '20548', '20549', '20550', '20551', '20552', '20553', '20554', '20555', '20556', '20557', '20558', '20559', '20560', '20561', '20562', '20563', '20564', '20565', '20566', '20567', '20568', '20569', '20570', '20571', '20572', '20573', '20574', '20575', '20576', '20577', '20578', '20579', '20580', '20581', '20582', '20583', '20584', '20585', '20586', '20587', '20588', '20589', '20590', '20591', '20592', '20593', '20594', '20595', '20596', '20597', '20598', '20599', '20600', '20601', '20602', '20603', '20604', '20605', '20606', '20607', '20608', '20609', '20610', '20611', '20612', '20613', '20614', '20615', '20616', '20617', '20618', '20619', '20620', '20621', '20622', '20623', '20624', '20625', '20626', '20627', '20628', '20629', '20630', '20631', '20632', '20633', '20634', '20635', '20636', '20637', '20638', '20639', '20640', '20641', '20642', '20643', '20644', '20645', '20646', '20647', '20648', '20649', '20650', '20651', '20652', '20653', '20654', '20655', '20656', '20657', '20658', '20659', '20660', '20661', '20662', '20663', '20664', '20665', '20666', '20667', '20668', '20669', '20670', '20671', '20672', '20673', '20674', '20675', '20676', '20677', '20678', '20679', '20680', '20681', '20682', '20683', '20684', '20685', '20686', '20687', '20688', '20689', '20690', '20691', '20692', '20693', '20694', '20695', '20696', '20697', '20698', '20699', '20700', '20701', '20702', '20703', '20704', '20705', '20706', '20707', '20708', '20709', '20710', '20711', '20712', '20713', '20714', '20715', '20716', '20717', '20718', '20719', '20720', '20721', '20722', '20723', '20724', '20725', '20726', '20727', '20728', '20729', '20730', '20731', '20732', '20733', '20734', '20735', '20736', '20737', '20738', '20739', '20740', '20741', '20742', '20743', '20744', '20745', '20746', '20747', '20748', '20749', '20750', '20751', '20752', '20753', '20754', '20755', '20756', '20757', '20758', '20759', '20760', '20761', '20762', '20763', '20764', '20765', '20766', '20767', '20768', '20769', '20770', '20771', '20772', '20773', '20774', '20775', '20776', '20777', '20778', '20779', '20780', '20781', '20782', '20783', '20784', '20785', '20786', '20787', '20788', '20789', '20790', '20791', '20792', '20793', '20794', '20795', '20796', '20797', '20798', '20799', '20800', '20801', '20802', '20803', '20804', '20805', '20806', '20807', '20808', '20809', '20810', '20811', '20812', '20813', '20814', '20815', '20816', '20817', '20818', '20819', '20820', '20821', '20822', '20823', '20824', '20825', '20826', '20827', '20828', '20829', '20830', '20831', '20832', '20833', '20834', '20835', '20836', '20837', '20838', '20839', '20840', '20841', '20842', '20843', '20844', '20845', '20846', '20847', '20848', '20849', '20850', '20851', '20852', '20853', '20854', '20855', '20856', '20857', '20858', '20859', '20860', '20861', '20862', '20863', '20864', '20865', '20866', '20867', '20868', '20869', '20870', '20871', '20872', '20873', '20874', '20875', '20876', '20877', '20878', '20879', '20880', '20881', '20882', '20883', '20884', '20885', '20886', '20887', '20888', '20889', '20890', '20891', '20892', '20893', '20894', '20895', '20896', '20897', '20898', '20899', '20900', '20901', '20902', '20903', '20904', '20905', '20906', '20907', '20908', '20909', '20910', '20911', '20912', '20913', '20914', '20915', '20916', '20917', '20918', '20919', '20920', '20921', '20922', '20923', '20924', '20925', '20926', '20927', '20928', '20929', '20930', '20931', '20932', '20933', '20934', '20935', '20936', '20937', '20938', '20939', '20940', '20941', '20942', '20943', '20944', '20945', '20946', '20947', '20948', '20949', '20950', '20951', '20952', '20953', '20954', '20955', '20956', '20957', '20958', '20959', '20960', '20961', '20962', '20963', '20964', '20965', '20966', '20967', '20968', '20969', '20970', '20971', '20972', '20973', '20974', '20975', '20976', '20977', '20978', '20979', '20980', '20981', '20982', '20983', '20984', '20985', '20986', '20987', '20988', '20989', '20990', '20991', '20992', '20993', '20994', '20995', '20996', '20997', '20998', '20999', '21000', '21001', '21002', '21003', '21004', '21005', '21006', '21007', '21008', '21009', '21010', '21011', '21012', '21013', '21014', '21015', '21016', '21017', '21018', '21019', '21020', '21021', '21022', '21023', '21024', '21025', '21026', '21027', '21028', '21029', '21030', '21031', '21032', '21033', '21034', '21035', '21036', '21037', '21038', '21039', '21040', '21041', '21042', '21043', '21044', '21045', '21046', '21047', '21048', '21049', '21050', '21051', '21052', '21053', '21054', '21055', '21056', '21057', '21058', '21059', '21060', '21061', '21062', '21063', '21064', '21065', '21066', '21067', '21068', '21069', '21070', '21071', '21072', '21073', '21074', '21075', '21076', '21077', '21078', '21079', '21080', '21081', '21082', '21083', '21084', '21085', '21086', '21087', '21088', '21089', '21090', '21091', '21092', '21093', '21094', '21095', '21096', '21097', '21098', '21099', '21100', '21101', '21102', '21103', '21104', '21105', '21106', '21107', '21108', '21109', '21110', '21111', '21112', '21113', '21114', '21115', '21116', '21117', '21118', '21119', '21120', '21121', '21122', '21123', '21124', '21125', '21126', '21127', '21128', '21129', '21130', '21131', '21132', '21133', '21134', '21135', '21136', '21137', '21138', '21139', '21140', '21141', '21142', '21143', '21144', '21145', '21146', '21147', '21148', '21149', '21150', '21151', '21152', '21153', '21154', '21155', '21156', '21157', '21158', '21159', '21160', '21161', '21162', '21163', '21164', '21165', '21166', '21167', '21168', '21169', '21170', '21171', '21172', '21173', '21174', '21175', '21176', '21177', '21178', '21179', '21180', '21181', '21182', '21183', '21184', '21185', '21186', '21187', '21188', '21189', '21190', '21191', '21192', '21193', '21194', '21195', '21196', '21197', '21198', '21199', '21200', '21201', '21202', '21203', '21204', '21205', '21206', '21207', '21208']. Select the correct one and provide it as `field='XXX'` to the dataset loading method. ", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001B[0;31mDatasetGenerationError\u001B[0m Traceback (most recent call last)", + "Cell \u001B[0;32mIn[5], line 1\u001B[0m\n\u001B[0;32m----> 1\u001B[0m \u001B[43mload_dataset\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43mjson\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdata_files\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43mtext/problems.json\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m)\u001B[49m\n", + "File \u001B[0;32m/opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages/datasets/load.py:1758\u001B[0m, in \u001B[0;36mload_dataset\u001B[0;34m(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, revision, use_auth_token, task, streaming, num_proc, **config_kwargs)\u001B[0m\n\u001B[1;32m 1755\u001B[0m try_from_hf_gcs \u001B[38;5;241m=\u001B[39m path \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;129;01min\u001B[39;00m _PACKAGED_DATASETS_MODULES\n\u001B[1;32m 1757\u001B[0m \u001B[38;5;66;03m# Download and prepare data\u001B[39;00m\n\u001B[0;32m-> 1758\u001B[0m \u001B[43mbuilder_instance\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mdownload_and_prepare\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 1759\u001B[0m \u001B[43m \u001B[49m\u001B[43mdownload_config\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mdownload_config\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1760\u001B[0m \u001B[43m \u001B[49m\u001B[43mdownload_mode\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mdownload_mode\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1761\u001B[0m \u001B[43m \u001B[49m\u001B[43mignore_verifications\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mignore_verifications\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1762\u001B[0m \u001B[43m \u001B[49m\u001B[43mtry_from_hf_gcs\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mtry_from_hf_gcs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1763\u001B[0m \u001B[43m \u001B[49m\u001B[43mnum_proc\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mnum_proc\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 1764\u001B[0m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 1766\u001B[0m \u001B[38;5;66;03m# Build dataset for splits\u001B[39;00m\n\u001B[1;32m 1767\u001B[0m keep_in_memory \u001B[38;5;241m=\u001B[39m (\n\u001B[1;32m 1768\u001B[0m keep_in_memory \u001B[38;5;28;01mif\u001B[39;00m keep_in_memory \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;28;01melse\u001B[39;00m is_small_dataset(builder_instance\u001B[38;5;241m.\u001B[39minfo\u001B[38;5;241m.\u001B[39mdataset_size)\n\u001B[1;32m 1769\u001B[0m )\n", + "File \u001B[0;32m/opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages/datasets/builder.py:860\u001B[0m, in \u001B[0;36mDatasetBuilder.download_and_prepare\u001B[0;34m(self, output_dir, download_config, download_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, file_format, max_shard_size, num_proc, storage_options, **download_and_prepare_kwargs)\u001B[0m\n\u001B[1;32m 858\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m num_proc \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[1;32m 859\u001B[0m prepare_split_kwargs[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mnum_proc\u001B[39m\u001B[38;5;124m\"\u001B[39m] \u001B[38;5;241m=\u001B[39m num_proc\n\u001B[0;32m--> 860\u001B[0m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_download_and_prepare\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 861\u001B[0m \u001B[43m \u001B[49m\u001B[43mdl_manager\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mdl_manager\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 862\u001B[0m \u001B[43m \u001B[49m\u001B[43mverify_infos\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mverify_infos\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 863\u001B[0m \u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mprepare_split_kwargs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 864\u001B[0m \u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mdownload_and_prepare_kwargs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 865\u001B[0m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 866\u001B[0m \u001B[38;5;66;03m# Sync info\u001B[39;00m\n\u001B[1;32m 867\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39minfo\u001B[38;5;241m.\u001B[39mdataset_size \u001B[38;5;241m=\u001B[39m \u001B[38;5;28msum\u001B[39m(split\u001B[38;5;241m.\u001B[39mnum_bytes \u001B[38;5;28;01mfor\u001B[39;00m split \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39minfo\u001B[38;5;241m.\u001B[39msplits\u001B[38;5;241m.\u001B[39mvalues())\n", + "File \u001B[0;32m/opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages/datasets/builder.py:953\u001B[0m, in \u001B[0;36mDatasetBuilder._download_and_prepare\u001B[0;34m(self, dl_manager, verify_infos, **prepare_split_kwargs)\u001B[0m\n\u001B[1;32m 949\u001B[0m split_dict\u001B[38;5;241m.\u001B[39madd(split_generator\u001B[38;5;241m.\u001B[39msplit_info)\n\u001B[1;32m 951\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m 952\u001B[0m \u001B[38;5;66;03m# Prepare split will record examples associated to the split\u001B[39;00m\n\u001B[0;32m--> 953\u001B[0m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_prepare_split\u001B[49m\u001B[43m(\u001B[49m\u001B[43msplit_generator\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mprepare_split_kwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 954\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[1;32m 955\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m(\n\u001B[1;32m 956\u001B[0m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mCannot find data file. \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 957\u001B[0m \u001B[38;5;241m+\u001B[39m (\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mmanual_download_instructions \u001B[38;5;129;01mor\u001B[39;00m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m 958\u001B[0m \u001B[38;5;241m+\u001B[39m 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\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_prepare_split_single(\n\u001B[1;32m 1709\u001B[0m gen_kwargs\u001B[38;5;241m=\u001B[39mgen_kwargs, job_id\u001B[38;5;241m=\u001B[39mjob_id, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39m_prepare_split_args\n\u001B[1;32m 1710\u001B[0m ):\n\u001B[1;32m 1711\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m done:\n\u001B[1;32m 1712\u001B[0m result \u001B[38;5;241m=\u001B[39m content\n", + "File \u001B[0;32m/opt/homebrew/Caskroom/miniconda/base/lib/python3.10/site-packages/datasets/builder.py:1851\u001B[0m, in \u001B[0;36mArrowBasedBuilder._prepare_split_single\u001B[0;34m(self, gen_kwargs, fpath, file_format, max_shard_size, job_id)\u001B[0m\n\u001B[1;32m 1849\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(e, SchemaInferenceError) \u001B[38;5;129;01mand\u001B[39;00m e\u001B[38;5;241m.\u001B[39m__context__ \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m 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What happened?\n", + "\n", + "> Not able to read records in the JSON file at ... You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields [1 ... 21208] Select the correct one and provide it as `field='XXX'` to the dataset loading method. \n", + "\n", + "But what does that even mean? First lets examine our record:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "``` json\n", + "{\n", + " \"1\":{\n", + " \"question\":\"Which of these states is farthest north?\",\n", + " \"choices\":[\n", + " \"West Virginia\",\n", + " \"Louisiana\",\n", + " \"Arizona\",\n", + " \"Oklahoma\"\n", + " ],\n", + " \"answer\":0,\n", + " \"hint\":\"\",\n", + " \"image\":\"image.png\",\n", + " \"task\":\"closed choice\",\n", + " \"grade\":\"grade2\",\n", + " \"subject\":\"social science\",\n", + " \"topic\":\"geography\",\n", + " \"category\":\"Geography\",\n", + " \"skill\":\"Read a map: cardinal directions\",\n", + " \"lecture\":\"Maps have four cardinal directions, or main directions. Those directions are north, south, east, and west.\\nA compass rose is a set of arrows that point to the cardinal directions. A compass rose usually shows only the first letter of each cardinal direction.\\nThe north arrow points to the North Pole. On most maps, north is at the top of the map.\",\n", + " \"solution\":\"To find the answer, look at the compass rose. Look at which way the north arrow is pointing. West Virginia is farthest north.\",\n", + " \"split\":\"train\"\n", + " }\n", + "}\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can see that the image folder name is not contained in the record, but overall we have 1 record per image.\n", + "\n", + "There are 2 main ways we load jsons [list of records, or by field] are not going to work. We are going to have to write a custom loader, but we are quite close." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "import datasets" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "class ScienceQA(datasets.GeneratorBasedBuilder):\n", + " \"\"\"Science Question Answering (ScienceQA), a new benchmark that consists of 21,208 multimodal \n", + " multiple choice questions with a diverse set of science topics and annotations of their answers \n", + " with corresponding lectures and explanations. \n", + " The lecture and explanation provide general external knowledge and specific reasons,\n", + " respectively, for arriving at the correct answer.\"\"\"\n", + "\n", + " VERSION = datasets.Version(\"1.0.0\")\n", + "\n", + "# def _info(self):\n", + "# # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset\n", + "# features = datasets.Features(\n", + "# {\n", + "# \"image_id\": datasets.Value(\"string\"),\n", + "# \"choices\": datasets.features.Sequence()\n", + "# \"option1\": datasets.Value(\"string\"),\n", + "# \"answer\": datasets.Value(\"string\")\n", + "# # These are the features of your dataset like images, labels ...\n", + "# }\n", + "# )\n", + "# return datasets.DatasetInfo(\n", + "# # This is the description that will appear on the datasets page.\n", + "# description=_DESCRIPTION,\n", + "# # This defines the different columns of the dataset and their types\n", + "# features=features, # Here we define them above because they are different between the two configurations\n", + "# # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and\n", + "# # specify them. They'll be used if as_supervised=True in builder.as_dataset.\n", + "# # supervised_keys=(\"sentence\", \"label\"),\n", + "# # Homepage of the dataset for documentation\n", + "# homepage=_HOMEPAGE,\n", + "# # License for the dataset if available\n", + "# license=_LICENSE,\n", + "# # Citation for the dataset\n", + "# citation=_CITATION,\n", + "# )\n", + "\n", + "# def _split_generators(self, dl_manager):\n", + "# # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration\n", + "# # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name\n", + "\n", + "# # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS\n", + "# # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.\n", + "# # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive\n", + "# urls = _URLS[self.config.name]\n", + "# data_dir = dl_manager.download_and_extract(urls)\n", + "# return [\n", + "# datasets.SplitGenerator(\n", + "# name=datasets.Split.TRAIN,\n", + "# # These kwargs will be passed to _generate_examples\n", + "# gen_kwargs={\n", + "# \"filepath\": os.path.join(data_dir, \"train.jsonl\"),\n", + "# \"split\": \"train\",\n", + "# },\n", + "# ),\n", + "# datasets.SplitGenerator(\n", + "# name=datasets.Split.VALIDATION,\n", + "# # These kwargs will be passed to _generate_examples\n", + "# gen_kwargs={\n", + "# \"filepath\": os.path.join(data_dir, \"dev.jsonl\"),\n", + "# \"split\": \"dev\",\n", + "# },\n", + "# ),\n", + "# datasets.SplitGenerator(\n", + "# name=datasets.Split.TEST,\n", + "# # These kwargs will be passed to _generate_examples\n", + "# gen_kwargs={\n", + "# \"filepath\": os.path.join(data_dir, \"test.jsonl\"),\n", + "# \"split\": \"test\"\n", + "# },\n", + "# ),\n", + "# ]\n", + "\n", + " # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`\n", + " def _generate_examples(self, filepath, split):\n", + " # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.\n", + " # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.\n", + " with open(filepath, encoding=\"utf-8\") as f:\n", + " for key, row in enumerate(f):\n", + " data = json.loads(row)\n", + " if self.config.name == \"first_domain\":\n", + " # Yields examples as (key, example) tuples\n", + " yield key, {\n", + " \"sentence\": data[\"sentence\"],\n", + " \"option1\": data[\"option1\"],\n", + " \"answer\": \"\" if split == \"test\" else data[\"answer\"],\n", + " }\n", + " else:\n", + " yield key, {\n", + " \"sentence\": data[\"sentence\"],\n", + " \"option2\": data[\"option2\"],\n", + " \"second_domain_answer\": \"\" if split == \"test\" else data[\"second_domain_answer\"],\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "import json" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "with open('text/problems.json', encoding=\"utf-8\") as f:\n", + " data = json.load(f)\n", + " for image_id, row in data.keys():\n", + " print(data)\n", + " break" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '70', 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