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{"url": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021beijing.csv", "raw": [{"content": "[page: 1]\nEmission_Inventory,Raw_Coal,CleanedCoal,Other_Washed_Coal,Briquettes,Coke,Coke_Oven_Gas,Other_Gas,Other_Coking_Products,Crude_Oil,Gasoline,Kerosene,Diesel_Oil,Fuel_Oil,LPG,Refinery_Gas,Other_Petroleum_Products,Natural_Gas,Scope_2_Heat,Scope_2_Electricity,Other_Energy,Process,Scope_1_Total\nunit,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2\n,,,,,,,,,,,,,,,,,,,,,,\nTotalEmissions,2.0021984744341097,0,0,0.17806516054927157,0.0028765890412809116,0,0,0,0,14.049258786117642,15.062812602799132,4.042693831830754,0.019326756197558977,1.3065082109211597,2.1464739602678615,0.32940324454750275,39.990772243150595,0,0,0,0.7500386,79.88042845985687", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021beijing.csv", "title": "2021beijing.csv", "chunk_id": 0}, "token": 460}, {"content": "[page: 1]\n\"Farming, Forestry, Animal Husbandry, Fishery and Water Conservancy\",0.027948058177255413,0,0,0,0,0,0,0,0,0.057656896045355,0,0.05228554814260331,0,0.0015654303988990653,0,0,0.0021607289951994053,0,0,0,0,0.14161666175931217\nCoal Mining and Dressing,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\nPetroleum and Natural Gas Extraction,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.002702663186427796,0,0,0,0,0.002702663186427796\nFerrous Metals Mining and Dressing,0,0,0,0,0,0,0,0,0,0.0002926745992150001,0,0.00029799902117672207,0,0,0.002770695943414191,0,0,0,0,0,0,0.0033613695638059133\nNonferrous Metals Mining and Dressing,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021beijing.csv", "title": "2021beijing.csv", "chunk_id": 1}, "token": 492}, {"content": "[page: 1]\nNonferrous Metals Mining and Dressing,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\nNonmetal Minerals Mining and Dressing,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\nOther Minerals Mining and Dressing,0,0,0,0,0,0,0,0,0,0.0008780237976450001,0,0.003873987275297386,0,0,0.00831208783024257,0,0,0,0,0,0,0.013064098903184957\nLogging and Transport of Wood and Bamboo,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\nFood Processing,0,0,0,0,0,0,0,0,0,0.0058534919843000015,0,0.009833967698831828,0,0.00024680161522865106,0.05541391886828382,0,0.007387279376235978,0,0,0,0,0.07873545954288028", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021beijing.csv", "title": "2021beijing.csv", "chunk_id": 2}, "token": 441}, {"content": "[page: 1]\nFood Production,0.0002166219449639238,0,0,0,1.3073027818946156e-06,0,0,0,0,0.006731515781945002,0,0.008641971614124938,0,0.0007404048456859532,0.0637260066985264,0,0.01279260574909157,0,0,0,0,0.09285043393711968\nBeverage Production,0,0,0,0,0,0,0,0,0,0.003804769789795001,0,0.002979990211767221,0,0.00024680161522865106,0.03601904726438448,0,0.01585562402704307,0,0,0,0,0.05890623290821842\nTobacco Processing,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0007207101830474124,0,0,0,0,0.0007207101830474124", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021beijing.csv", "title": "2021beijing.csv", "chunk_id": 3}, "token": 447}, {"content": "[page: 1]\nTobacco Processing,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0007207101830474124,0,0,0,0,0.0007207101830474124\nTextile Industry,0,0,0,0,0,0,0,0,0,0.0008780237976450001,0,0.00029799902117672207,0,0,0.00831208783024257,0,0.0001801775457618531,0,0,0,0,0.009668288194826145\nGarments and Other Fiber Products,0,0,0,0,0,0,0,0,0,0.005268142785870001,0,0.0005959980423534441,0,0,0.04987252698145543,0,0.001981953003380384,0,0,0,0,0.05771862081305926\n\"Leather, Furs, Down and Related Products\",0,0,0,0,0,0,0,0,0,0.0005853491984300002,0,0,0,0,0.005541391886828382,0,0,0,0,0,0,0.006126741085258383", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021beijing.csv", "title": "2021beijing.csv", "chunk_id": 4}, "token": 490}, {"content": "[page: 1]\n\"Leather, Furs, Down and Related Products
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