rawdata/data/shopping/Hardware.txt | |
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rawdata/data/shopping/Herbs - Spices.txt | |
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rawdata/data/shopping/Household Cleaning.txt | |
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rawdata/data/shopping/Indian Foods.txt | |
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rawdata/data/shopping/Insecticides.txt | |
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rawdata/data/shopping/InstantMeals.txt | |
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rawdata/data/shopping/Jams - Spreads.txt | |
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rawdata/data/shopping/Kitchen Utensils.txt | |
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rawdata/data/shopping/Laundry.txt | |
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rawdata/data/shopping/Lollies.txt | |
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rawdata/data/shopping/Meat.txt | |
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rawdata/data/shopping/Medicinal.txt | |
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rawdata/data/shopping/Mexican Food.txt | |
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rawdata/data/shopping/Miscellaneous.txt | |
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rawdata/data/shopping/Oils - Cooking.txt | |
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rawdata/data/shopping/Packet Soup.txt | |
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rawdata/data/shopping/Paper Goods.txt | |
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rawdata/data/shopping/Pet Supplies.txt | |
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rawdata/data/shopping/Rice - Pasta - Noodles.txt | |
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rawdata/data/shopping/Self Service Delicatessen.txt | |
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rawdata/data/shopping/Shoe Care.txt | |
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rawdata/data/shopping/Side Dishes.txt | |
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rawdata/data/shopping/Small Appliances.txt | |
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rawdata/data/shopping/Snacks.txt | |
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rawdata/data/shopping/Soft Drinks.txt | |
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rawdata/data/shopping/Soups.txt | |
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rawdata/data/shopping/Stationery.txt | |
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rawdata/data/shopping/Sugars - Sweeteners.txt | |
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rawdata/data/shopping/Toiletries.txt | |
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rawdata/data/shopping/Vitamins.txt | |
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rawdata/data/shopping/beverages.txt | |
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rawdata/data/tasks.csv | |
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rawdata/data/text/sentiment.cite | |
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rawdata/data/text/sentiment.csv | |
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rawdata/data/world/country.csv | |
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rawdata/data/world/gdelt.cit | |
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rawdata/data/world/holidays.csv | |
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rawdata/data/world/landmarks.csv | |
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rawdata/errors.py | 93 | B 4 hrs |
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rawdata/events.py | 84 | A 3 hrs |
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rawdata/gather.py | 25 | A 0 mins |
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rawdata/generate.py | 260 | D 2 days |
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rawdata/samples/finance_transaction.sample | |
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rawdata/samples/person_consumer.sample | |
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rawdata/samples/person_worker.sample | |
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scripts/README.md | |
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scripts/collect_example.py | 11 | A 0 mins |
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scripts/construction_data_example.py | 20 | A 0 mins |
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scripts/create_pim_data.py | 21 | A 0 mins |
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scripts/customers.csv | |
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