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  2. test/train-00000-of-00001.parquet +3 -0
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  data_files:
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+ - name: results
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+ struct:
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+ - name: Acres of Corn to plant
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+ dtype: string
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+ - name: Acres of Pumpkins to grow
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+ dtype: string
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+ - name: Acres of Soybeans to plant
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+ dtype: string
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+ - name: Acres of Turnips to grow
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+ dtype: string
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+ - name: Acres of Wheat to plant
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+ dtype: string
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+ - name: Acres of cucumbers
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+ dtype: string
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+ - name: Acres of potatoes
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+ dtype: string
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+ - name: Amount invested in healthcare
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+ dtype: string
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+ - name: Amount invested in telecom
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+ dtype: string
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+ - name: Amount to invest in CDs
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+ dtype: string
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+ - name: Amount to invest in Growth Stocks
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+ dtype: string
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+ - name: Amount to invest in Municipal Bonds
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+ dtype: string
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+ - name: Amount to invest in T-Bills
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+ dtype: string
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+ - name: Business Statistics
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+ dtype: string
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+ - name: Calculus
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+ - name: Computer Simulation
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+ dtype: string
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+ - name: Dollars invested in NFTs
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+ dtype: string
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+ - name: Dollars invested in crypto-currency
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+ dtype: string
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+ - name: Forecasting
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+ - name: Gallons of chocolate ice cream
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+ dtype: string
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+ - name: Gallons of vanilla ice cream
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+ dtype: string
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+ - name: Hours to run factory 1
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+ dtype: string
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+ - name: Hours to run factory 2
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+ dtype: string
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+ - name: Introduction to Computer Programming
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+ dtype: string
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+ - name: Investment in 1
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+ dtype: string
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+ - name: Investment in 2
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+ dtype: string
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+ - name: Investment in 3
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+ dtype: string
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+ - name: Investment in 4
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+ dtype: string
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+ - name: Maximum Profit
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+ dtype: string
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+ - name: Maximum profit
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+ dtype: string
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+ - name: Maximum profit per day
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+ dtype: string
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+ - name: Money invested in clothing company
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+ dtype: string
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+ - name: Money invested in tech company
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+ dtype: string
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+ - name: Month 1 Inventory at the end of the month
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+ dtype: string
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+ - name: Month 1 Overtime production
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+ dtype: string
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+ - name: Month 1 Regular-time production
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+ dtype: string
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+ - name: Month 2 Inventory at the end of the month
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+ dtype: string
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+ - name: Month 2 Overtime production
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+ dtype: string
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+ - name: Month 2 Regular-time production
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+ dtype: string
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+ - name: Month 3 Inventory at the end of the month
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+ dtype: string
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+ - name: Month 3 Overtime production
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+ dtype: string
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+ - name: Month 3 Regular-time production
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+ dtype: string
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+ - name: Month 4 Inventory at the end of the month
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+ dtype: string
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+ - name: Month 4 Overtime production
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+ dtype: string
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+ - name: Month 4 Regular-time production
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+ dtype: string
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+ - name: Month 5 Inventory at the end of the month
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+ dtype: string
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+ - name: Month 5 Overtime production
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+ dtype: string
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+ - name: Month 5 Regular-time production
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+ dtype: string
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+ - name: Month 6 Inventory at the end of the month
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+ dtype: string
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+ - name: Month 6 Overtime production
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+ dtype: string
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+ - name: Month 6 Regular-time production
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+ dtype: string
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+ - name: Net profit
116
+ dtype: string
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+ - name: New maximum profit
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+ dtype: string
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+ - name: New optimal number of acres of rye to plant
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+ dtype: string
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+ - name: New optimal number of acres of winter wheat to plant
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+ dtype: string
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+ - name: Number of A400 keyboards to produce each week
124
+ dtype: string
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+ - name: Number of Apple Butter batches to produce
126
+ dtype: string
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+ - name: Number of Apple Jelly batches to produce
128
+ dtype: string
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+ - name: Number of Apple Sauce batches to produce
130
+ dtype: string
131
+ - name: Number of P500 keyboards to produce each week
132
+ dtype: string
133
+ - name: Number of acres for nectarines
134
+ dtype: string
135
+ - name: Number of acres for peaches
136
+ dtype: string
137
+ - name: Number of acres to grow daikons
138
+ dtype: string
139
+ - name: Number of acres to grow fennels
140
+ dtype: string
141
+ - name: Number of bottles of premium wine to make per day
142
+ dtype: string
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+ - name: Number of bottles of regular wine to make per day
144
+ dtype: string
145
+ - name: Number of day personal interviews
146
+ dtype: string
147
+ - name: Number of day phone interviews
148
+ dtype: string
149
+ - name: Number of days to run north side operation
150
+ dtype: string
151
+ - name: Number of days to run south side operation
152
+ dtype: string
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+ - name: Number of helicopter trips
154
+ dtype: string
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+ - name: Number of hours the north factory operates
156
+ dtype: string
157
+ - name: Number of hours the south factory operates
158
+ dtype: string
159
+ - name: Number of night personal interviews
160
+ dtype: string
161
+ - name: Number of night phone interviews
162
+ dtype: string
163
+ - name: Number of truck trips
164
+ dtype: string
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+ - name: Number of workers starting on Friday
166
+ dtype: string
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+ - name: Number of workers starting on Monday
168
+ dtype: string
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+ - name: Number of workers starting on Saturday
170
+ dtype: string
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+ - name: Number of workers starting on Sunday
172
+ dtype: string
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+ - name: Number of workers starting on Thursday
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+ dtype: string
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+ - name: Number of workers starting on Tuesday
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+ dtype: string
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+ - name: Number of workers starting on Wednesday
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+ dtype: string
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+ - name: Open Atlanta Warehouse
180
+ dtype: string
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+ - name: Open Chicago Warehouse
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+ dtype: string
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+ - name: Open Los Angeles Warehouse
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+ dtype: string
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+ - name: Open New York Warehouse
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+ dtype: string
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+ - name: Operations Research
188
+ dtype: string
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+ - name: Pants machinery rented
190
+ dtype: string
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+ - name: Shirt machinery rented
192
+ dtype: string
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+ - name: Shorts machinery rented
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+ dtype: string
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+ - name: Square feet for gas lawn mower
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+ dtype: string
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+ - name: Square feet for heavy-duty yard machine
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+ dtype: string
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+ - name: The acres for modern machine
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+ dtype: string
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+ - name: The acres for traditional machine
202
+ dtype: string
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+ - name: The acres processed by harvester
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+ dtype: string
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+ - name: The acres processed by windrower
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+ dtype: string
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+ - name: The amount invested in condos
208
+ dtype: string
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+ - name: The amount invested in detached houses
210
+ dtype: string
211
+ - name: The amount of carbon dioxide converted
212
+ dtype: string
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+ - name: The amount of carpets to be made weekly (in square feet)
214
+ dtype: string
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+ - name: The amount of carrot (kg) to be added to each dish
216
+ dtype: string
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+ - name: The amount of chicken in kg
218
+ dtype: string
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+ - name: The amount of crepe mix used
220
+ dtype: string
221
+ - name: The amount of cucumber (kg) to be added to each dish
222
+ dtype: string
223
+ - name: The amount of fertilizer C in kgs
224
+ dtype: string
225
+ - name: The amount of fertilizer Y in kgs
226
+ dtype: string
227
+ - name: The amount of gelatine used
228
+ dtype: string
229
+ - name: The amount of grain A to feed the sheep
230
+ dtype: string
231
+ - name: The amount of grain B to feed the sheep
232
+ dtype: string
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+ - name: The amount of grain C to feed the sheep
234
+ dtype: string
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+ - name: The amount of hay processed
236
+ dtype: string
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+ - name: The amount of heavy oil
238
+ dtype: string
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+ - name: The amount of honey transported
240
+ dtype: string
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+ - name: The amount of laminate planks to be made weekly (in square feet)
242
+ dtype: string
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+ - name: The amount of light oil
244
+ dtype: string
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+ - name: The amount of non-sticky oil
246
+ dtype: string
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+ - name: The amount of oil 1 purchased
248
+ dtype: string
249
+ - name: The amount of oil 1 used to produce gas 1
250
+ dtype: string
251
+ - name: The amount of oil 1 used to produce gas 2
252
+ dtype: string
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+ - name: The amount of oil 2 used to produce gas 1
254
+ dtype: string
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+ - name: The amount of oil 2 used to produce gas 2
256
+ dtype: string
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+ - name: The amount of paste produced
258
+ dtype: string
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+ - name: The amount of pork in kg
260
+ dtype: string
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+ - name: The amount of protein consumed
262
+ dtype: string
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+ - name: The amount of regular mix
264
+ dtype: string
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+ - name: The amount of rice transported
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+ dtype: string
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+ - name: The amount of sand delivered
268
+ dtype: string
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+ - name: The amount of snow transported
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+ dtype: string
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+ - name: The amount of sour surprise mix
272
+ dtype: string
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+ - name: The amount of tea leaves picked
274
+ dtype: string
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+ - name: The amount of white cabbage (kg) to be added to each dish
276
+ dtype: string
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+ - name: The amount to invest in the elder sister's company
278
+ dtype: string
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+ - name: The amount to invest in the younger sister's company
280
+ dtype: string
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+ - name: The cost of the diet
282
+ dtype: string
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+ - name: The cost of the mixture
284
+ dtype: string
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+ - name: The decision to put item 1 in the knapsack
286
+ dtype: string
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+ - name: The decision to put item 2 in the knapsack
288
+ dtype: string
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+ - name: The decision to put item 3 in the knapsack
290
+ dtype: string
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+ - name: The decision to put item 4 in the knapsack
292
+ dtype: string
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+ - name: The expected average payout
294
+ dtype: string
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+ - name: The fraction of each liter that is cheap paint
296
+ dtype: string
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+ - name: The fraction of each liter that is expensive paint
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+ dtype: string
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+ - name: The hours for the common company
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+ dtype: string
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+ - name: The hours for the specialized company
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+ dtype: string
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+ - name: The hours machine 1 should be used
304
+ dtype: string
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+ - name: The hours machine 2 should be used
306
+ dtype: string
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+ - name: The kg of the first mix
308
+ dtype: string
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+ - name: The kg of the second mix
310
+ dtype: string
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+ - name: The kilograms of Feed A in the mixture
312
+ dtype: string
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+ - name: The kilograms of Feed B in the mixture
314
+ dtype: string
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+ - name: The maximum annual income
316
+ dtype: string
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+ - name: The maximum company's profit
318
+ dtype: string
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+ - name: The maximum contribution to overhead
320
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+ - name: The maximum daily revenue
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+ - name: The maximum exposure
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+ - name: The maximum number of exposures
330
+ dtype: string
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+ - name: The maximum overall net profit
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+ dtype: string
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+ - name: The maximum profit
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+ dtype: string
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+ - name: The maximum profit from the investment
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+ dtype: string
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+ - name: The maximum profit is
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+ dtype: string
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340
+ dtype: string
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+ - name: The maximum total profit
342
+ dtype: string
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+ - name: The maximum total value of the knapsack
344
+ dtype: string
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+ - name: The maximum value of x1 + x2
346
+ dtype: string
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+ - name: The maximum weekly profit
348
+ dtype: string
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+ - name: The minimized cost
350
+ dtype: string
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+ - name: The minimum additional price per dish
352
+ dtype: string
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+ - name: The minimum cholesterol intake
354
+ dtype: string
355
+ - name: The minimum cost
356
+ dtype: string
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+ - name: The minimum cost of the compound
358
+ dtype: string
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+ - name: The minimum cost of the mixture
360
+ dtype: string
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+ - name: The minimum daily cost
362
+ dtype: string
363
+ - name: The minimum effective time
364
+ dtype: string
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+ - name: The minimum number of courses needed
366
+ dtype: string
367
+ - name: The minimum number of machines
368
+ dtype: string
369
+ - name: The minimum number of ships needed
370
+ dtype: string
371
+ - name: The minimum number of workers needed is
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+ dtype: string
373
+ - name: The minimum number of workers required
374
+ dtype: string
375
+ - name: The minimum production cost
376
+ dtype: string
377
+ - name: The minimum total number of slicers
378
+ dtype: string
379
+ - name: The minimum transportation cost
380
+ dtype: string
381
+ - name: The money invested in apartments
382
+ dtype: string
383
+ - name: The money invested in townhouses
384
+ dtype: string
385
+ - name: The money to put on the basketball tournament
386
+ dtype: string
387
+ - name: The money to put on the horse race
388
+ dtype: string
389
+ - name: The money to put on the soccer game
390
+ dtype: string
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+ - name: The monthly profit
392
+ dtype: string
393
+ - name: The net revenue
394
+ dtype: string
395
+ - name: The net revenue is
396
+ dtype: string
397
+ - name: The number of AA batteries to stock
398
+ dtype: string
399
+ - name: The number of Adirondack chairs to produce
400
+ dtype: string
401
+ - name: The number of Classic dressers to produce
402
+ dtype: string
403
+ - name: The number of D batteries to stock
404
+ dtype: string
405
+ - name: The number of English breakfast teabags
406
+ dtype: string
407
+ - name: The number of English workbooks
408
+ dtype: string
409
+ - name: The number of Experiment 1 conducted
410
+ dtype: string
411
+ - name: The number of Experiment 2 conducted
412
+ dtype: string
413
+ - name: The number of FS ads yielding 2,000 exposures
414
+ dtype: string
415
+ - name: The number of FS ads yielding 6,000 exposures
416
+ dtype: string
417
+ - name: The number of FS ads yielding 8,000 exposures
418
+ dtype: string
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+ - name: The number of IJ ads yielding 10,000 exposures
420
+ dtype: string
421
+ - name: The number of IJ ads yielding 2,500 exposures
422
+ dtype: string
423
+ - name: The number of IJ ads yielding 3,000 exposures
424
+ dtype: string
425
+ - name: The number of Klun pills
426
+ dtype: string
427
+ - name: The number of LED lights
428
+ dtype: string
429
+ - name: The number of LED signs made
430
+ dtype: string
431
+ - name: The number of Meaties packages to produce
432
+ dtype: string
433
+ - name: The number of Model A ovens to purchase
434
+ dtype: string
435
+ - name: The number of Model B ovens to purchase
436
+ dtype: string
437
+ - name: The number of Modern dressers to produce
438
+ dtype: string
439
+ - name: The number of Oil Max Pro containers
440
+ dtype: string
441
+ - name: The number of Oil Max containers
442
+ dtype: string
443
+ - name: The number of One Daily capsules
444
+ dtype: string
445
+ - name: The number of Process A
446
+ dtype: string
447
+ - name: The number of Process B
448
+ dtype: string
449
+ - name: The number of Process J
450
+ dtype: string
451
+ - name: The number of Process P
452
+ dtype: string
453
+ - name: The number of R&B concerts
454
+ dtype: string
455
+ - name: The number of SUVs to produce
456
+ dtype: string
457
+ - name: The number of Special Formula capsules
458
+ dtype: string
459
+ - name: The number of Sunny pills
460
+ dtype: string
461
+ - name: The number of T-shirts with back and front printing to produce
462
+ dtype: string
463
+ - name: The number of T-shirts with front printing to produce
464
+ dtype: string
465
+ - name: The number of TV services installed
466
+ dtype: string
467
+ - name: The number of Tao pills
468
+ dtype: string
469
+ - name: The number of Yummies packages to produce
470
+ dtype: string
471
+ - name: The number of Zodiac pills
472
+ dtype: string
473
+ - name: The number of acai berry smoothies
474
+ dtype: string
475
+ - name: The number of acres for apple trees
476
+ dtype: string
477
+ - name: The number of acres for apples
478
+ dtype: string
479
+ - name: The number of acres for large oil wells
480
+ dtype: string
481
+ - name: The number of acres for peach trees
482
+ dtype: string
483
+ - name: The number of acres for pears
484
+ dtype: string
485
+ - name: The number of acres for small oil wells
486
+ dtype: string
487
+ - name: The number of acres of bananas
488
+ dtype: string
489
+ - name: The number of acres of carrots to plant
490
+ dtype: string
491
+ - name: The number of acres of grapefruits to grow
492
+ dtype: string
493
+ - name: The number of acres of guavas to grow
494
+ dtype: string
495
+ - name: The number of acres of lavender grown
496
+ dtype: string
497
+ - name: The number of acres of mangos to grow
498
+ dtype: string
499
+ - name: The number of acres of oranges to grow
500
+ dtype: string
501
+ - name: The number of acres of pineapples
502
+ dtype: string
503
+ - name: The number of acres of pumpkins to plant
504
+ dtype: string
505
+ - name: The number of acres of rye to plant
506
+ dtype: string
507
+ - name: The number of acres of tulips grown
508
+ dtype: string
509
+ - name: The number of acres of winter wheat to plant
510
+ dtype: string
511
+ - name: The number of adult size bottles
512
+ dtype: string
513
+ - name: The number of air trips
514
+ dtype: string
515
+ - name: The number of alarm valves from Plant A to Center I
516
+ dtype: string
517
+ - name: The number of alarm valves from Plant A to Center II
518
+ dtype: string
519
+ - name: The number of alarm valves from Plant B to Center I
520
+ dtype: string
521
+ - name: The number of alarm valves from Plant B to Center II
522
+ dtype: string
523
+ - name: The number of almond croissants
524
+ dtype: string
525
+ - name: The number of alpha brand bottles
526
+ dtype: string
527
+ - name: The number of ambulance shifts
528
+ dtype: string
529
+ - name: The number of anti-biotic creams
530
+ dtype: string
531
+ - name: The number of apple smoothies
532
+ dtype: string
533
+ - name: The number of argon methods
534
+ dtype: string
535
+ - name: The number of auto stock shares
536
+ dtype: string
537
+ - name: The number of automatic jacks
538
+ dtype: string
539
+ - name: The number of automatic slicers
540
+ dtype: string
541
+ - name: The number of bags from Bag A
542
+ dtype: string
543
+ - name: The number of bags from Bag B
544
+ dtype: string
545
+ - name: The number of bags of Drummondville blend to produce
546
+ dtype: string
547
+ - name: The number of bags of Victoriaville blend to produce
548
+ dtype: string
549
+ - name: The number of banana chocolate smoothies
550
+ dtype: string
551
+ - name: The number of banana-haters packages
552
+ dtype: string
553
+ - name: The number of bananas
554
+ dtype: string
555
+ - name: The number of basket balls
556
+ dtype: string
557
+ - name: The number of basketballs
558
+ dtype: string
559
+ - name: The number of batches of bagels
560
+ dtype: string
561
+ - name: The number of batches of chocolate chip cookies
562
+ dtype: string
563
+ - name: The number of batches of cookies
564
+ dtype: string
565
+ - name: The number of batches of croissants
566
+ dtype: string
567
+ - name: The number of batches of hams
568
+ dtype: string
569
+ - name: The number of batches of oatmeal cookies
570
+ dtype: string
571
+ - name: The number of batches of pork ribs
572
+ dtype: string
573
+ - name: The number of beam bridges
574
+ dtype: string
575
+ - name: The number of bedside tables produced
576
+ dtype: string
577
+ - name: The number of bike shifts
578
+ dtype: string
579
+ - name: The number of bikes
580
+ dtype: string
581
+ - name: The number of bikes needed
582
+ dtype: string
583
+ - name: The number of birthday cakes
584
+ dtype: string
585
+ - name: The number of black and white printers
586
+ dtype: string
587
+ - name: The number of black milk tea bottles
588
+ dtype: string
589
+ - name: The number of blankets to knit
590
+ dtype: string
591
+ - name: The number of blood tests
592
+ dtype: string
593
+ - name: The number of blueberry acres
594
+ dtype: string
595
+ - name: The number of blueberry packs
596
+ dtype: string
597
+ - name: The number of boat trips
598
+ dtype: string
599
+ - name: The number of bookcases produced
600
+ dtype: string
601
+ - name: The number of bottles of black milk tea
602
+ dtype: string
603
+ - name: The number of bottles of cream
604
+ dtype: string
605
+ - name: The number of bottles of green milk tea
606
+ dtype: string
607
+ - name: The number of bottles of pills
608
+ dtype: string
609
+ - name: The number of bracelets to make
610
+ dtype: string
611
+ - name: The number of burgers made
612
+ dtype: string
613
+ - name: The number of burgers to eat
614
+ dtype: string
615
+ - name: The number of burritos sold
616
+ dtype: string
617
+ - name: The number of bus trips
618
+ dtype: string
619
+ - name: The number of buses
620
+ dtype: string
621
+ - name: The number of buses to purchase
622
+ dtype: string
623
+ - name: The number of calcium pills
624
+ dtype: string
625
+ - name: The number of camel caravans
626
+ dtype: string
627
+ - name: The number of camels
628
+ dtype: string
629
+ - name: The number of canines to fill
630
+ dtype: string
631
+ - name: The number of canoe deliveries
632
+ dtype: string
633
+ - name: The number of canoe trips
634
+ dtype: string
635
+ - name: The number of canoes
636
+ dtype: string
637
+ - name: The number of cans of Ruby paint
638
+ dtype: string
639
+ - name: The number of cans of Sapphire paint
640
+ dtype: string
641
+ - name: The number of car trips
642
+ dtype: string
643
+ - name: The number of caramel boxes
644
+ dtype: string
645
+ - name: The number of carrier pigeons
646
+ dtype: string
647
+ - name: The number of cars
648
+ dtype: string
649
+ - name: The number of cars needed
650
+ dtype: string
651
+ - name: The number of cars processed per hour
652
+ dtype: string
653
+ - name: The number of carts
654
+ dtype: string
655
+ - name: The number of cashew boxes
656
+ dtype: string
657
+ - name: The number of chairs
658
+ dtype: string
659
+ - name: The number of chairs to produce
660
+ dtype: string
661
+ - name: The number of cherry candy packs
662
+ dtype: string
663
+ - name: The number of chicken curry bowls
664
+ dtype: string
665
+ - name: The number of chicken meals
666
+ dtype: string
667
+ - name: The number of chicken salad sandwiches
668
+ dtype: string
669
+ - name: The number of chicken wraps
670
+ dtype: string
671
+ - name: The number of chickens transported
672
+ dtype: string
673
+ - name: The number of chocolate boxes
674
+ dtype: string
675
+ - name: The number of chocolate crepes
676
+ dtype: string
677
+ - name: The number of chop saws
678
+ dtype: string
679
+ - name: The number of circular saws
680
+ dtype: string
681
+ - name: The number of circular tables
682
+ dtype: string
683
+ - name: The number of climbing games
684
+ dtype: string
685
+ - name: The number of coats
686
+ dtype: string
687
+ - name: The number of coconut oil units
688
+ dtype: string
689
+ - name: The number of coffee tables
690
+ dtype: string
691
+ - name: The number of coffees sold
692
+ dtype: string
693
+ - name: The number of cologne bottles filled
694
+ dtype: string
695
+ - name: The number of color printers
696
+ dtype: string
697
+ - name: The number of combo packages
698
+ dtype: string
699
+ - name: The number of commercial licenses
700
+ dtype: string
701
+ - name: The number of commercials during cartoons
702
+ dtype: string
703
+ - name: The number of commercials during kids-movies
704
+ dtype: string
705
+ - name: The number of commercials on Beta Video
706
+ dtype: string
707
+ - name: The number of commercials on Gamma Live
708
+ dtype: string
709
+ - name: The number of commercials on Pi TV
710
+ dtype: string
711
+ - name: The number of compact cars to produce
712
+ dtype: string
713
+ - name: The number of company car rides
714
+ dtype: string
715
+ - name: The number of consoles sold
716
+ dtype: string
717
+ - name: The number of containers
718
+ dtype: string
719
+ - name: The number of counter-top sized machines
720
+ dtype: string
721
+ - name: The number of cows
722
+ dtype: string
723
+ - name: The number of cream lipsticks to be produced
724
+ dtype: string
725
+ - name: The number of crepe cakes
726
+ dtype: string
727
+ - name: The number of cups of soybeans
728
+ dtype: string
729
+ - name: The number of cups of spinach
730
+ dtype: string
731
+ - name: The number of dark chocolate bars
732
+ dtype: string
733
+ - name: The number of dark chocolate pieces
734
+ dtype: string
735
+ - name: The number of deliveries by cart
736
+ dtype: string
737
+ - name: The number of deliveries by hand
738
+ dtype: string
739
+ - name: The number of deluxe mix boxes
740
+ dtype: string
741
+ - name: The number of deluxe tacos
742
+ dtype: string
743
+ - name: The number of denim jackets to produce
744
+ dtype: string
745
+ - name: The number of densely-seated ski lifts
746
+ dtype: string
747
+ - name: The number of desert trucks
748
+ dtype: string
749
+ - name: The number of desk lamps
750
+ dtype: string
751
+ - name: The number of desks
752
+ dtype: string
753
+ - name: The number of diesel boats
754
+ dtype: string
755
+ - name: The number of dine-in stores
756
+ dtype: string
757
+ - name: The number of dining tables
758
+ dtype: string
759
+ - name: The number of discs sold
760
+ dtype: string
761
+ - name: The number of display shelves to manufacture
762
+ dtype: string
763
+ - name: The number of dolls
764
+ dtype: string
765
+ - name: The number of dolphins
766
+ dtype: string
767
+ - name: The number of drawers
768
+ dtype: string
769
+ - name: The number of dressers
770
+ dtype: string
771
+ - name: The number of ear tests
772
+ dtype: string
773
+ - name: The number of earl grey teabags
774
+ dtype: string
775
+ - name: The number of economy-class tickets
776
+ dtype: string
777
+ - name: The number of egg meals
778
+ dtype: string
779
+ - name: The number of electric grills
780
+ dtype: string
781
+ - name: The number of elephants
782
+ dtype: string
783
+ - name: The number of elephants made
784
+ dtype: string
785
+ - name: The number of elevators
786
+ dtype: string
787
+ - name: The number of emergency fire fighters
788
+ dtype: string
789
+ - name: The number of escalators
790
+ dtype: string
791
+ - name: The number of ex-vivo experiments
792
+ dtype: string
793
+ - name: The number of experimental meals
794
+ dtype: string
795
+ - name: The number of factory outlets
796
+ dtype: string
797
+ - name: The number of family-sized salads to sell
798
+ dtype: string
799
+ - name: The number of ferry trips
800
+ dtype: string
801
+ - name: The number of finance calculators produced
802
+ dtype: string
803
+ - name: The number of first-class tickets
804
+ dtype: string
805
+ - name: The number of first-dose vaccines
806
+ dtype: string
807
+ - name: The number of fish meals
808
+ dtype: string
809
+ - name: The number of fish transported
810
+ dtype: string
811
+ - name: The number of flight jackets to produce
812
+ dtype: string
813
+ - name: The number of fluorescence lamps
814
+ dtype: string
815
+ - name: The number of food trucks
816
+ dtype: string
817
+ - name: The number of footballs
818
+ dtype: string
819
+ - name: The number of four-color litho to produce
820
+ dtype: string
821
+ - name: The number of freezers
822
+ dtype: string
823
+ - name: The number of freight trips
824
+ dtype: string
825
+ - name: The number of fridge-sized machines
826
+ dtype: string
827
+ - name: The number of fries packs
828
+ dtype: string
829
+ - name: The number of fruit bowls
830
+ dtype: string
831
+ - name: The number of fruit servings
832
+ dtype: string
833
+ - name: The number of full-time painters
834
+ dtype: string
835
+ - name: The number of full-time staff to hire
836
+ dtype: string
837
+ - name: The number of full-time volunteers
838
+ dtype: string
839
+ - name: The number of full-weighted keyboards
840
+ dtype: string
841
+ - name: The number of gas grills
842
+ dtype: string
843
+ - name: The number of gas jacks
844
+ dtype: string
845
+ - name: The number of glass jars
846
+ dtype: string
847
+ - name: The number of glass jars to package
848
+ dtype: string
849
+ - name: The number of glasses of milk
850
+ dtype: string
851
+ - name: The number of goat curry bowls
852
+ dtype: string
853
+ - name: The number of golden retrievers
854
+ dtype: string
855
+ - name: The number of golf carts to use
856
+ dtype: string
857
+ - name: The number of gondola lift rides
858
+ dtype: string
859
+ - name: The number of graduate researchers
860
+ dtype: string
861
+ - name: The number of halogen methods
862
+ dtype: string
863
+ - name: The number of hamburgers
864
+ dtype: string
865
+ - name: The number of hammocks to produce
866
+ dtype: string
867
+ - name: The number of heated seats sold
868
+ dtype: string
869
+ - name: The number of hectares for potatoes
870
+ dtype: string
871
+ - name: The number of hectares for tomatoes
872
+ dtype: string
873
+ - name: The number of hectares of carrots planted
874
+ dtype: string
875
+ - name: The number of hectares of pumpkins planted
876
+ dtype: string
877
+ - name: The number of helicopter trips
878
+ dtype: string
879
+ - name: The number of high intensity drills
880
+ dtype: string
881
+ - name: The number of high power air conditioners
882
+ dtype: string
883
+ - name: The number of high quality face wash
884
+ dtype: string
885
+ - name: The number of high-pressure tube trailer transports
886
+ dtype: string
887
+ - name: The number of high-volume pipes
888
+ dtype: string
889
+ - name: The number of horses
890
+ dtype: string
891
+ - name: The number of hot air balloon rides
892
+ dtype: string
893
+ - name: The number of hot chocolates sold
894
+ dtype: string
895
+ - name: The number of hot-dogs made
896
+ dtype: string
897
+ - name: The number of hours the northern factory should run
898
+ dtype: string
899
+ - name: The number of hours the western factory should run
900
+ dtype: string
901
+ - name: The number of hours to run process 1
902
+ dtype: string
903
+ - name: The number of hours to run process 2
904
+ dtype: string
905
+ - name: The number of hours using method A
906
+ dtype: string
907
+ - name: The number of hours using method B
908
+ dtype: string
909
+ - name: The number of hybrid vans
910
+ dtype: string
911
+ - name: The number of in-vivo experiments
912
+ dtype: string
913
+ - name: The number of individual salads to sell
914
+ dtype: string
915
+ - name: The number of internet services installed
916
+ dtype: string
917
+ - name: The number of jelly-filled donuts
918
+ dtype: string
919
+ - name: The number of jugs
920
+ dtype: string
921
+ - name: The number of junior accountants
922
+ dtype: string
923
+ - name: The number of kayak trips
924
+ dtype: string
925
+ - name: The number of kebab servings
926
+ dtype: string
927
+ - name: The number of kg of maple candy made
928
+ dtype: string
929
+ - name: The number of kg of maple syrup made
930
+ dtype: string
931
+ - name: The number of kids size bottles
932
+ dtype: string
933
+ - name: The number of kitchen cabinets to produce
934
+ dtype: string
935
+ - name: The number of kombucha units
936
+ dtype: string
937
+ - name: The number of labradors
938
+ dtype: string
939
+ - name: The number of laptops
940
+ dtype: string
941
+ - name: The number of large art pieces
942
+ dtype: string
943
+ - name: The number of large bags
944
+ dtype: string
945
+ - name: The number of large bins
946
+ dtype: string
947
+ - name: The number of large bottles
948
+ dtype: string
949
+ - name: The number of large bouquets
950
+ dtype: string
951
+ - name: The number of large boxes
952
+ dtype: string
953
+ - name: The number of large branches
954
+ dtype: string
955
+ - name: The number of large buses
956
+ dtype: string
957
+ - name: The number of large cabinets
958
+ dtype: string
959
+ - name: The number of large cars to produce
960
+ dtype: string
961
+ - name: The number of large containers
962
+ dtype: string
963
+ - name: The number of large crates
964
+ dtype: string
965
+ - name: The number of large crates used
966
+ dtype: string
967
+ - name: The number of large cruise ship trips
968
+ dtype: string
969
+ - name: The number of large jars
970
+ dtype: string
971
+ - name: The number of large kegs
972
+ dtype: string
973
+ - name: The number of large mobile production units
974
+ dtype: string
975
+ - name: The number of large pills
976
+ dtype: string
977
+ - name: The number of large pizzas to make
978
+ dtype: string
979
+ - name: The number of large planes
980
+ dtype: string
981
+ - name: The number of large ships
982
+ dtype: string
983
+ - name: The number of large sized carts
984
+ dtype: string
985
+ - name: The number of large suitcases
986
+ dtype: string
987
+ - name: The number of large teams
988
+ dtype: string
989
+ - name: The number of large trucks
990
+ dtype: string
991
+ - name: The number of large wagons
992
+ dtype: string
993
+ - name: The number of lavender units
994
+ dtype: string
995
+ - name: The number of light rail trips
996
+ dtype: string
997
+ - name: The number of limousines
998
+ dtype: string
999
+ - name: The number of liquefied hydrogen tanker transports
1000
+ dtype: string
1001
+ - name: The number of loaves of bread
1002
+ dtype: string
1003
+ - name: The number of long cables
1004
+ dtype: string
1005
+ - name: The number of long desks
1006
+ dtype: string
1007
+ - name: The number of loosely-seated ski lifts
1008
+ dtype: string
1009
+ - name: The number of low intensity drills
1010
+ dtype: string
1011
+ - name: The number of low power air conditioners
1012
+ dtype: string
1013
+ - name: The number of low quality face wash
1014
+ dtype: string
1015
+ - name: The number of low-volume pipes
1016
+ dtype: string
1017
+ - name: The number of luxury canoes to produce
1018
+ dtype: string
1019
+ - name: The number of lychee bubble tea
1020
+ dtype: string
1021
+ - name: The number of machine A
1022
+ dtype: string
1023
+ - name: The number of machine B
1024
+ dtype: string
1025
+ - name: The number of managers
1026
+ dtype: string
1027
+ - name: The number of mango bubble tea
1028
+ dtype: string
1029
+ - name: The number of mango-lovers packages
1030
+ dtype: string
1031
+ - name: The number of mangoes
1032
+ dtype: string
1033
+ - name: The number of manual slicers
1034
+ dtype: string
1035
+ - name: The number of matcha ice cream
1036
+ dtype: string
1037
+ - name: The number of matcha milk tea bottles
1038
+ dtype: string
1039
+ - name: The number of math workbooks
1040
+ dtype: string
1041
+ - name: The number of matte lipsticks to be produced
1042
+ dtype: string
1043
+ - name: The number of meals delivered
1044
+ dtype: string
1045
+ - name: The number of mechanical keyboards
1046
+ dtype: string
1047
+ - name: The number of medication patches
1048
+ dtype: string
1049
+ - name: The number of medium pizzas to make
1050
+ dtype: string
1051
+ - name: The number of medium quality face wash
1052
+ dtype: string
1053
+ - name: The number of medium sized carts
1054
+ dtype: string
1055
+ - name: The number of midsize cars to produce
1056
+ dtype: string
1057
+ - name: The number of milk chocolate bars
1058
+ dtype: string
1059
+ - name: The number of milk chocolate pieces
1060
+ dtype: string
1061
+ - name: The number of minibuses used
1062
+ dtype: string
1063
+ - name: The number of miter saws
1064
+ dtype: string
1065
+ - name: The number of model X computers to produce
1066
+ dtype: string
1067
+ - name: The number of model Y computers to produce
1068
+ dtype: string
1069
+ - name: The number of model Z computers to produce
1070
+ dtype: string
1071
+ - name: The number of molars to fill
1072
+ dtype: string
1073
+ - name: The number of motorboat trips
1074
+ dtype: string
1075
+ - name: The number of motorcycles
1076
+ dtype: string
1077
+ - name: The number of mountain bikes produced
1078
+ dtype: string
1079
+ - name: The number of narrow pipes
1080
+ dtype: string
1081
+ - name: The number of narrow trails
1082
+ dtype: string
1083
+ - name: The number of neon signs made
1084
+ dtype: string
1085
+ - name: The number of new model furnaces
1086
+ dtype: string
1087
+ - name: The number of new vans
1088
+ dtype: string
1089
+ - name: The number of newspaper ads
1090
+ dtype: string
1091
+ - name: The number of newspapers delivered
1092
+ dtype: string
1093
+ - name: The number of night lamps
1094
+ dtype: string
1095
+ - name: The number of noodles servings
1096
+ dtype: string
1097
+ - name: The number of nurses
1098
+ dtype: string
1099
+ - name: The number of oil stock shares
1100
+ dtype: string
1101
+ - name: The number of old model furnaces
1102
+ dtype: string
1103
+ - name: The number of old vans
1104
+ dtype: string
1105
+ - name: The number of omega brand bottles
1106
+ dtype: string
1107
+ - name: The number of orange smoothies
1108
+ dtype: string
1109
+ - name: The number of orange sorbet
1110
+ dtype: string
1111
+ - name: The number of original meals
1112
+ dtype: string
1113
+ - name: The number of otters
1114
+ dtype: string
1115
+ - name: The number of owls
1116
+ dtype: string
1117
+ - name: The number of pH tests
1118
+ dtype: string
1119
+ - name: The number of packages of adhesives produced daily
1120
+ dtype: string
1121
+ - name: The number of packages of fish meat
1122
+ dtype: string
1123
+ - name: The number of packages of plasticizers produced daily
1124
+ dtype: string
1125
+ - name: The number of packages of shrimp meat
1126
+ dtype: string
1127
+ - name: The number of painkiller pills
1128
+ dtype: string
1129
+ - name: The number of paintings
1130
+ dtype: string
1131
+ - name: The number of palladium-heavy catalysts
1132
+ dtype: string
1133
+ - name: The number of pants produced each week
1134
+ dtype: string
1135
+ - name: The number of part-time staff to hire
1136
+ dtype: string
1137
+ - name: The number of passenger tickets sold
1138
+ dtype: string
1139
+ - name: The number of peach candy packs
1140
+ dtype: string
1141
+ - name: The number of peanut butter crepes
1142
+ dtype: string
1143
+ - name: The number of people that can be treated
1144
+ dtype: string
1145
+ - name: The number of perfume bottles filled
1146
+ dtype: string
1147
+ - name: The number of permanent removers
1148
+ dtype: string
1149
+ - name: The number of personal cars
1150
+ dtype: string
1151
+ - name: The number of personal licenses
1152
+ dtype: string
1153
+ - name: The number of pharmaceutical stock shares
1154
+ dtype: string
1155
+ - name: The number of pharmacists
1156
+ dtype: string
1157
+ - name: The number of phones
1158
+ dtype: string
1159
+ - name: The number of pies to make
1160
+ dtype: string
1161
+ - name: The number of pill A
1162
+ dtype: string
1163
+ - name: The number of pill B
1164
+ dtype: string
1165
+ - name: The number of pill vaccines
1166
+ dtype: string
1167
+ - name: The number of pistachio croissants
1168
+ dtype: string
1169
+ - name: The number of plane trips
1170
+ dtype: string
1171
+ - name: The number of planes
1172
+ dtype: string
1173
+ - name: The number of plant stands to manufacture
1174
+ dtype: string
1175
+ - name: The number of plastic jars
1176
+ dtype: string
1177
+ - name: The number of plates of vegetables
1178
+ dtype: string
1179
+ - name: The number of plates to package
1180
+ dtype: string
1181
+ - name: The number of platinum-heavy catalysts
1182
+ dtype: string
1183
+ - name: The number of platters
1184
+ dtype: string
1185
+ - name: The number of plush toys
1186
+ dtype: string
1187
+ - name: The number of pop concerts
1188
+ dtype: string
1189
+ - name: The number of potato packages transported
1190
+ dtype: string
1191
+ - name: The number of pounds of Green Grow produced at Dearborn
1192
+ dtype: string
1193
+ - name: The number of pounds of Green Grow produced at Fresno
1194
+ dtype: string
1195
+ - name: The number of pounds of Super Two produced at Dearborn
1196
+ dtype: string
1197
+ - name: The number of pounds of Super Two produced at Fresno
1198
+ dtype: string
1199
+ - name: The number of pounds of corn
1200
+ dtype: string
1201
+ - name: The number of pounds of oats
1202
+ dtype: string
1203
+ - name: The number of pounds of soybeans
1204
+ dtype: string
1205
+ - name: The number of pounds of vitamin supplement
1206
+ dtype: string
1207
+ - name: The number of premium brand bags
1208
+ dtype: string
1209
+ - name: The number of premium desktops
1210
+ dtype: string
1211
+ - name: The number of premium handbags
1212
+ dtype: string
1213
+ - name: The number of premium hot-dogs to make
1214
+ dtype: string
1215
+ - name: The number of premium models
1216
+ dtype: string
1217
+ - name: The number of premium printers
1218
+ dtype: string
1219
+ - name: The number of prevention pills
1220
+ dtype: string
1221
+ - name: The number of printed arts
1222
+ dtype: string
1223
+ - name: The number of processes with a catalyst
1224
+ dtype: string
1225
+ - name: The number of processes without a catalyst
1226
+ dtype: string
1227
+ - name: The number of protein bar servings
1228
+ dtype: string
1229
+ - name: The number of protein bars
1230
+ dtype: string
1231
+ - name: The number of pull carts to use
1232
+ dtype: string
1233
+ - name: The number of race cars produced per day
1234
+ dtype: string
1235
+ - name: The number of radio ads
1236
+ dtype: string
1237
+ - name: The number of radio commercials
1238
+ dtype: string
1239
+ - name: The number of raisin boxes
1240
+ dtype: string
1241
+ - name: The number of ramen packs
1242
+ dtype: string
1243
+ - name: The number of raspberry acres
1244
+ dtype: string
1245
+ - name: The number of reams of graph paper
1246
+ dtype: string
1247
+ - name: The number of reams of music paper
1248
+ dtype: string
1249
+ - name: The number of rectangular tables
1250
+ dtype: string
1251
+ - name: The number of refrigerated truck trips
1252
+ dtype: string
1253
+ - name: The number of refrigerators to sell
1254
+ dtype: string
1255
+ - name: The number of regular boat trips
1256
+ dtype: string
1257
+ - name: The number of regular brand bags
1258
+ dtype: string
1259
+ - name: The number of regular cars produced per day
1260
+ dtype: string
1261
+ - name: The number of regular desktops
1262
+ dtype: string
1263
+ - name: The number of regular donuts
1264
+ dtype: string
1265
+ - name: The number of regular fire fighters
1266
+ dtype: string
1267
+ - name: The number of regular glass panes
1268
+ dtype: string
1269
+ - name: The number of regular handbags
1270
+ dtype: string
1271
+ - name: The number of regular hot-dogs to make
1272
+ dtype: string
1273
+ - name: The number of regular mix boxes
1274
+ dtype: string
1275
+ - name: The number of regular models
1276
+ dtype: string
1277
+ - name: The number of regular packages
1278
+ dtype: string
1279
+ - name: The number of regular printers
1280
+ dtype: string
1281
+ - name: The number of regular sandwiches
1282
+ dtype: string
1283
+ - name: The number of regular seats sold
1284
+ dtype: string
1285
+ - name: The number of regular tacos
1286
+ dtype: string
1287
+ - name: The number of regular truck trips
1288
+ dtype: string
1289
+ - name: The number of regular vans
1290
+ dtype: string
1291
+ - name: The number of retail stores
1292
+ dtype: string
1293
+ - name: The number of rice servings
1294
+ dtype: string
1295
+ - name: The number of rickshaws
1296
+ dtype: string
1297
+ - name: The number of rings to make
1298
+ dtype: string
1299
+ - name: The number of road bikes produced
1300
+ dtype: string
1301
+ - name: The number of runner deliveries
1302
+ dtype: string
1303
+ - name: The number of rural factories
1304
+ dtype: string
1305
+ - name: The number of salads
1306
+ dtype: string
1307
+ - name: The number of salinity tests
1308
+ dtype: string
1309
+ - name: The number of salmon meals
1310
+ dtype: string
1311
+ - name: The number of scooter shifts
1312
+ dtype: string
1313
+ - name: The number of scooters
1314
+ dtype: string
1315
+ - name: The number of seasonal removers
1316
+ dtype: string
1317
+ - name: The number of seasonal volunteers
1318
+ dtype: string
1319
+ - name: The number of seasonings and spices stored
1320
+ dtype: string
1321
+ - name: The number of second-dose vaccines
1322
+ dtype: string
1323
+ - name: The number of sedans
1324
+ dtype: string
1325
+ - name: The number of sedans to produce
1326
+ dtype: string
1327
+ - name: The number of sedans to purchase
1328
+ dtype: string
1329
+ - name: The number of semi-weighted keyboards
1330
+ dtype: string
1331
+ - name: The number of senior accountants
1332
+ dtype: string
1333
+ - name: The number of servings for health supplement A
1334
+ dtype: string
1335
+ - name: The number of servings for health supplement B
1336
+ dtype: string
1337
+ - name: The number of servings of almonds
1338
+ dtype: string
1339
+ - name: The number of servings of cashews
1340
+ dtype: string
1341
+ - name: The number of servings of cheese
1342
+ dtype: string
1343
+ - name: The number of servings of crab soup
1344
+ dtype: string
1345
+ - name: The number of servings of lobster soup
1346
+ dtype: string
1347
+ - name: The number of servings of milk
1348
+ dtype: string
1349
+ - name: The number of ship trips
1350
+ dtype: string
1351
+ - name: The number of shirts produced each week
1352
+ dtype: string
1353
+ - name: The number of short cables
1354
+ dtype: string
1355
+ - name: The number of short desks
1356
+ dtype: string
1357
+ - name: The number of shorts produced each week
1358
+ dtype: string
1359
+ - name: The number of shot vaccines
1360
+ dtype: string
1361
+ - name: The number of simple canoes to produce
1362
+ dtype: string
1363
+ - name: The number of skirts
1364
+ dtype: string
1365
+ - name: The number of sled dog trips
1366
+ dtype: string
1367
+ - name: The number of sleeping pills
1368
+ dtype: string
1369
+ - name: The number of slices of pizza to eat
1370
+ dtype: string
1371
+ - name: The number of sliding doors to make
1372
+ dtype: string
1373
+ - name: The number of sling chairs to produce
1374
+ dtype: string
1375
+ - name: The number of small art pieces
1376
+ dtype: string
1377
+ - name: The number of small bins
1378
+ dtype: string
1379
+ - name: The number of small bottles
1380
+ dtype: string
1381
+ - name: The number of small bouquets
1382
+ dtype: string
1383
+ - name: The number of small boxes
1384
+ dtype: string
1385
+ - name: The number of small branches
1386
+ dtype: string
1387
+ - name: The number of small buses
1388
+ dtype: string
1389
+ - name: The number of small cabinets
1390
+ dtype: string
1391
+ - name: The number of small containers
1392
+ dtype: string
1393
+ - name: The number of small crates
1394
+ dtype: string
1395
+ - name: The number of small crates used
1396
+ dtype: string
1397
+ - name: The number of small cruise ship trips
1398
+ dtype: string
1399
+ - name: The number of small jars
1400
+ dtype: string
1401
+ - name: The number of small kegs
1402
+ dtype: string
1403
+ - name: The number of small mobile production units
1404
+ dtype: string
1405
+ - name: The number of small packets
1406
+ dtype: string
1407
+ - name: The number of small pills
1408
+ dtype: string
1409
+ - name: The number of small planes
1410
+ dtype: string
1411
+ - name: The number of small ships
1412
+ dtype: string
1413
+ - name: The number of small suitcases
1414
+ dtype: string
1415
+ - name: The number of small teams
1416
+ dtype: string
1417
+ - name: The number of small trucks
1418
+ dtype: string
1419
+ - name: The number of small wagons
1420
+ dtype: string
1421
+ - name: The number of smoothies
1422
+ dtype: string
1423
+ - name: The number of soccer balls
1424
+ dtype: string
1425
+ - name: The number of social media ads
1426
+ dtype: string
1427
+ - name: The number of social media commercials
1428
+ dtype: string
1429
+ - name: The number of soda bottles
1430
+ dtype: string
1431
+ - name: The number of soda cans
1432
+ dtype: string
1433
+ - name: The number of sofas to produce
1434
+ dtype: string
1435
+ - name: The number of solar calculators produced
1436
+ dtype: string
1437
+ - name: The number of soorchle ads
1438
+ dtype: string
1439
+ - name: The number of sour cherry candies
1440
+ dtype: string
1441
+ - name: The number of sour peach candies
1442
+ dtype: string
1443
+ - name: The number of special sandwiches
1444
+ dtype: string
1445
+ - name: The number of speed boat trips
1446
+ dtype: string
1447
+ - name: The number of sponge cakes
1448
+ dtype: string
1449
+ - name: The number of square feet of hardwood flooring produced weekly
1450
+ dtype: string
1451
+ - name: The number of square feet of vinyl planks produced weekly
1452
+ dtype: string
1453
+ - name: The number of square feet planted with roses
1454
+ dtype: string
1455
+ - name: The number of square feet planted with sunflowers
1456
+ dtype: string
1457
+ - name: The number of staff teachers
1458
+ dtype: string
1459
+ - name: The number of standard keyboards
1460
+ dtype: string
1461
+ - name: The number of steel cutters
1462
+ dtype: string
1463
+ - name: The number of stoves to sell
1464
+ dtype: string
1465
+ - name: The number of strawberry cookies
1466
+ dtype: string
1467
+ - name: The number of strawberry packs
1468
+ dtype: string
1469
+ - name: The number of stubby jars
1470
+ dtype: string
1471
+ - name: The number of student painters
1472
+ dtype: string
1473
+ - name: The number of students from Central to Central
1474
+ dtype: string
1475
+ - name: The number of students from Central to South
1476
+ dtype: string
1477
+ - name: The number of students from Central to West
1478
+ dtype: string
1479
+ - name: The number of students from East to Central
1480
+ dtype: string
1481
+ - name: The number of students from East to South
1482
+ dtype: string
1483
+ - name: The number of students from East to West
1484
+ dtype: string
1485
+ - name: The number of students from North to Central
1486
+ dtype: string
1487
+ - name: The number of students from North to South
1488
+ dtype: string
1489
+ - name: The number of students from North to West
1490
+ dtype: string
1491
+ - name: The number of students from South to Central
1492
+ dtype: string
1493
+ - name: The number of students from South to South
1494
+ dtype: string
1495
+ - name: The number of students from South to West
1496
+ dtype: string
1497
+ - name: The number of students from West to Central
1498
+ dtype: string
1499
+ - name: The number of students from West to West
1500
+ dtype: string
1501
+ - name: The number of submarine trips
1502
+ dtype: string
1503
+ - name: The number of subsoil bags
1504
+ dtype: string
1505
+ - name: The number of substitute teachers
1506
+ dtype: string
1507
+ - name: The number of sugar cookies
1508
+ dtype: string
1509
+ - name: The number of supplement A pills
1510
+ dtype: string
1511
+ - name: The number of supplement B pills
1512
+ dtype: string
1513
+ - name: The number of sweaters to knit
1514
+ dtype: string
1515
+ - name: The number of sweatshirts with back and front printing to produce
1516
+ dtype: string
1517
+ - name: The number of sweatshirts with front printing to produce
1518
+ dtype: string
1519
+ - name: The number of tables to produce
1520
+ dtype: string
1521
+ - name: The number of tacos sold
1522
+ dtype: string
1523
+ - name: The number of tarts to make
1524
+ dtype: string
1525
+ - name: The number of taxi rides
1526
+ dtype: string
1527
+ - name: The number of television commercials
1528
+ dtype: string
1529
+ - name: The number of temperature checks
1530
+ dtype: string
1531
+ - name: The number of tempered glass panes
1532
+ dtype: string
1533
+ - name: The number of thin jars
1534
+ dtype: string
1535
+ - name: The number of throwing games
1536
+ dtype: string
1537
+ - name: The number of tigers made
1538
+ dtype: string
1539
+ - name: The number of tiny bags
1540
+ dtype: string
1541
+ - name: The number of topsoil bags
1542
+ dtype: string
1543
+ - name: The number of tractors
1544
+ dtype: string
1545
+ - name: The number of train trips
1546
+ dtype: string
1547
+ - name: The number of trains
1548
+ dtype: string
1549
+ - name: The number of trams
1550
+ dtype: string
1551
+ - name: The number of treatment pills
1552
+ dtype: string
1553
+ - name: The number of tricks performed
1554
+ dtype: string
1555
+ - name: The number of trips by the new company
1556
+ dtype: string
1557
+ - name: The number of trips by the old company
1558
+ dtype: string
1559
+ - name: The number of trolleys
1560
+ dtype: string
1561
+ - name: The number of truck trips
1562
+ dtype: string
1563
+ - name: The number of trucks
1564
+ dtype: string
1565
+ - name: The number of trucks used
1566
+ dtype: string
1567
+ - name: The number of truss bridges
1568
+ dtype: string
1569
+ - name: The number of tuna salad sandwiches
1570
+ dtype: string
1571
+ - name: The number of two-color litho to produce
1572
+ dtype: string
1573
+ - name: The number of type 1 circuits to produce
1574
+ dtype: string
1575
+ - name: The number of type 2 circuits to produce
1576
+ dtype: string
1577
+ - name: The number of type A layouts
1578
+ dtype: string
1579
+ - name: The number of type B layouts
1580
+ dtype: string
1581
+ - name: The number of type C layouts
1582
+ dtype: string
1583
+ - name: The number of ultrasound technicians
1584
+ dtype: string
1585
+ - name: The number of units of beans
1586
+ dtype: string
1587
+ - name: The number of units of chlorine
1588
+ dtype: string
1589
+ - name: The number of units of onions
1590
+ dtype: string
1591
+ - name: The number of units of product 1 to produce
1592
+ dtype: string
1593
+ - name: The number of units of product 2 to produce
1594
+ dtype: string
1595
+ - name: The number of units of product A to produce
1596
+ dtype: string
1597
+ - name: The number of units of product B to produce
1598
+ dtype: string
1599
+ - name: The number of units of water softener
1600
+ dtype: string
1601
+ - name: The number of urban factories
1602
+ dtype: string
1603
+ - name: The number of van shifts
1604
+ dtype: string
1605
+ - name: The number of van trips
1606
+ dtype: string
1607
+ - name: The number of vans
1608
+ dtype: string
1609
+ - name: The number of vans used
1610
+ dtype: string
1611
+ - name: The number of vegetable servings
1612
+ dtype: string
1613
+ - name: The number of vehicle tickets sold
1614
+ dtype: string
1615
+ - name: The number of vitamin D pills
1616
+ dtype: string
1617
+ - name: The number of waiters
1618
+ dtype: string
1619
+ - name: The number of washing machines
1620
+ dtype: string
1621
+ - name: The number of wassa ads
1622
+ dtype: string
1623
+ - name: The number of wide pipes
1624
+ dtype: string
1625
+ - name: The number of wide trails
1626
+ dtype: string
1627
+ - name: The number of windows to make
1628
+ dtype: string
1629
+ - name: The number of wine units
1630
+ dtype: string
1631
+ - name: The number of wired headphones
1632
+ dtype: string
1633
+ - name: The number of wireless headphones
1634
+ dtype: string
1635
+ - name: The number of workers for shift 1
1636
+ dtype: string
1637
+ - name: The number of workers for shift 2
1638
+ dtype: string
1639
+ - name: The number of workers for shift 3
1640
+ dtype: string
1641
+ - name: The number of workers on production line 1
1642
+ dtype: string
1643
+ - name: The number of workers on production line 2
1644
+ dtype: string
1645
+ - name: The number of wraps
1646
+ dtype: string
1647
+ - name: The number of z-tube ads
1648
+ dtype: string
1649
+ - name: The optimal number of fire stations to be built is
1650
+ dtype: string
1651
+ - name: The production units for A on machine 1
1652
+ dtype: string
1653
+ - name: The production units for A on machine 2
1654
+ dtype: string
1655
+ - name: The production units for A on machine 3
1656
+ dtype: string
1657
+ - name: The production units for B on machine 1
1658
+ dtype: string
1659
+ - name: The production units for B on machine 2
1660
+ dtype: string
1661
+ - name: The production units for B on machine 3
1662
+ dtype: string
1663
+ - name: The production units for C on machine 1
1664
+ dtype: string
1665
+ - name: The production units for C on machine 2
1666
+ dtype: string
1667
+ - name: The production units for C on machine 3
1668
+ dtype: string
1669
+ - name: The profit
1670
+ dtype: string
1671
+ - name: The profit made
1672
+ dtype: string
1673
+ - name: The quantity of Fertilizer 1
1674
+ dtype: string
1675
+ - name: The quantity of Fertilizer 2
1676
+ dtype: string
1677
+ - name: The quantity of Fertilizer 3
1678
+ dtype: string
1679
+ - name: The quantity of Fertilizer 4
1680
+ dtype: string
1681
+ - name: The quantity of Fertilizer 5
1682
+ dtype: string
1683
+ - name: The quantity of paper stock 1
1684
+ dtype: string
1685
+ - name: The quantity of paper stock 2
1686
+ dtype: string
1687
+ - name: The quantity of paper stock 3
1688
+ dtype: string
1689
+ - name: The quantity of paper stock 4
1690
+ dtype: string
1691
+ - name: The seating availability
1692
+ dtype: string
1693
+ - name: The sodium intake (mg)
1694
+ dtype: string
1695
+ - name: The square feet for laptop production
1696
+ dtype: string
1697
+ - name: The square feet for phone production
1698
+ dtype: string
1699
+ - name: The total amount of carbon dioxide produced
1700
+ dtype: string
1701
+ - name: The total amount of curry base used
1702
+ dtype: string
1703
+ - name: The total amount of diesel used
1704
+ dtype: string
1705
+ - name: The total amount of digestive medicine needed
1706
+ dtype: string
1707
+ - name: The total amount of flavoring needed
1708
+ dtype: string
1709
+ - name: The total amount of garbage produced
1710
+ dtype: string
1711
+ - name: The total amount of gas consumed
1712
+ dtype: string
1713
+ - name: The total amount of gas used
1714
+ dtype: string
1715
+ - name: The total amount of lawn that can be mowed
1716
+ dtype: string
1717
+ - name: The total amount of mail delivered
1718
+ dtype: string
1719
+ - name: The total amount of pain killer needed
1720
+ dtype: string
1721
+ - name: The total amount of pollution produced
1722
+ dtype: string
1723
+ - name: The total amount of recycling material collected
1724
+ dtype: string
1725
+ - name: The total amount of special syrup used
1726
+ dtype: string
1727
+ - name: The total amount of tea needed
1728
+ dtype: string
1729
+ - name: The total amount of time
1730
+ dtype: string
1731
+ - name: The total amount of water required
1732
+ dtype: string
1733
+ - name: The total amount of water used
1734
+ dtype: string
1735
+ - name: The total audience
1736
+ dtype: string
1737
+ - name: The total caloric intake
1738
+ dtype: string
1739
+ - name: The total cooking time
1740
+ dtype: string
1741
+ - name: The total cost
1742
+ dtype: string
1743
+ - name: The total cost for the patient
1744
+ dtype: string
1745
+ - name: The total cost is
1746
+ dtype: string
1747
+ - name: The total cost of production
1748
+ dtype: string
1749
+ - name: The total cost of the candies
1750
+ dtype: string
1751
+ - name: The total cost of the commercials
1752
+ dtype: string
1753
+ - name: The total cost of the diet
1754
+ dtype: string
1755
+ - name: The total cost of the mix
1756
+ dtype: string
1757
+ - name: The total cost to the hospital
1758
+ dtype: string
1759
+ - name: The total fat intake
1760
+ dtype: string
1761
+ - name: The total hours required
1762
+ dtype: string
1763
+ - name: The total liters of glacial water transported
1764
+ dtype: string
1765
+ - name: The total mass that can be supported
1766
+ dtype: string
1767
+ - name: The total metal extracted
1768
+ dtype: string
1769
+ - name: The total monthly profit
1770
+ dtype: string
1771
+ - name: The total number of air conditioners
1772
+ dtype: string
1773
+ - name: The total number of animals used
1774
+ dtype: string
1775
+ - name: The total number of boats used
1776
+ dtype: string
1777
+ - name: The total number of bottles
1778
+ dtype: string
1779
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1780
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1781
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1782
+ dtype: string
1783
+ - name: The total number of buses
1784
+ dtype: string
1785
+ - name: The total number of carts used
1786
+ dtype: string
1787
+ - name: The total number of catered guests
1788
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1789
+ - name: The total number of coins that can be plated
1790
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1791
+ - name: The total number of concerts
1792
+ dtype: string
1793
+ - name: The total number of containers and trucks
1794
+ dtype: string
1795
+ - name: The total number of crates produced
1796
+ dtype: string
1797
+ - name: The total number of customers attracted per hour
1798
+ dtype: string
1799
+ - name: The total number of factories
1800
+ dtype: string
1801
+ - name: The total number of fire fighters
1802
+ dtype: string
1803
+ - name: The total number of flowers transported
1804
+ dtype: string
1805
+ - name: The total number of furnaces
1806
+ dtype: string
1807
+ - name: The total number of gifts delivered
1808
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1809
+ - name: The total number of grapes transported
1810
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1811
+ - name: The total number of jars filled
1812
+ dtype: string
1813
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1814
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1815
+ - name: The total number of keyboards
1816
+ dtype: string
1817
+ - name: The total number of letters sent
1818
+ dtype: string
1819
+ - name: The total number of light bulbs produced
1820
+ dtype: string
1821
+ - name: The total number of light changes
1822
+ dtype: string
1823
+ - name: The total number of metal-working equipment
1824
+ dtype: string
1825
+ - name: The total number of parking spots required
1826
+ dtype: string
1827
+ - name: The total number of patients seen
1828
+ dtype: string
1829
+ - name: The total number of patients that can be treated
1830
+ dtype: string
1831
+ - name: The total number of patients vaccinated
1832
+ dtype: string
1833
+ - name: The total number of pipes
1834
+ dtype: string
1835
+ - name: The total number of planes
1836
+ dtype: string
1837
+ - name: The total number of printers
1838
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1839
+ - name: The total number of probes used
1840
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1841
+ - name: The total number of refills per hour
1842
+ dtype: string
1843
+ - name: The total number of snacks transported
1844
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1845
+ - name: The total number of snow removers
1846
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1847
+ - name: The total number of sports equipment produced
1848
+ dtype: string
1849
+ - name: The total number of staff hired
1850
+ dtype: string
1851
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1852
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1853
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1854
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1855
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1856
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1857
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1858
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1859
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1860
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1861
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1862
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1863
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1864
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1865
+ - name: The total number of vehicles
1866
+ dtype: string
1867
+ - name: The total number of vehicles used
1868
+ dtype: string
1869
+ - name: The total number of wagons needed
1870
+ dtype: string
1871
+ - name: The total number of workers
1872
+ dtype: string
1873
+ - name: The total pollution produced
1874
+ dtype: string
1875
+ - name: The total potassium intake
1876
+ dtype: string
1877
+ - name: The total production of oil
1878
+ dtype: string
1879
+ - name: The total production time (in minutes)
1880
+ dtype: string
1881
+ - name: The total production time in minutes
1882
+ dtype: string
1883
+ - name: The total profit
1884
+ dtype: string
1885
+ - name: The total profit from the investment
1886
+ dtype: string
1887
+ - name: The total profit per day
1888
+ dtype: string
1889
+ - name: The total revenue
1890
+ dtype: string
1891
+ - name: The total revenue generated
1892
+ dtype: string
1893
+ - name: The total sodium intake
1894
+ dtype: string
1895
+ - name: The total sugar intake
1896
+ dtype: string
1897
+ - name: The total sugar intake from packs
1898
+ dtype: string
1899
+ - name: The total time
1900
+ dtype: string
1901
+ - name: The total time for the medication to be effective
1902
+ dtype: string
1903
+ - name: The total time for the pool to be ready
1904
+ dtype: string
1905
+ - name: The total time it takes for the mixed bread to be ready
1906
+ dtype: string
1907
+ - name: The total time needed
1908
+ dtype: string
1909
+ - name: The total time needed to transport all the locals
1910
+ dtype: string
1911
+ - name: The total time required to transport the monkeys (minutes)
1912
+ dtype: string
1913
+ - name: The total time spent baking
1914
+ dtype: string
1915
+ - name: The total time taken to transport the chicken
1916
+ dtype: string
1917
+ - name: The total time to transport the patients
1918
+ dtype: string
1919
+ - name: The total tips received
1920
+ dtype: string
1921
+ - name: The total units of fruit required
1922
+ dtype: string
1923
+ - name: The total units of green gas produced
1924
+ dtype: string
1925
+ - name: The total units of space taken
1926
+ dtype: string
1927
+ - name: The total viewers reached
1928
+ dtype: string
1929
+ - name: The total wage bill
1930
+ dtype: string
1931
+ - name: The total wage cost
1932
+ dtype: string
1933
+ - name: The total weight of grain transported
1934
+ dtype: string
1935
+ - name: The units of chemical A
1936
+ dtype: string
1937
+ - name: The units of chemical B
1938
+ dtype: string
1939
+ - name: The value of x1
1940
+ dtype: string
1941
+ - name: The value of x2
1942
+ dtype: string
1943
+ - name: The weekly cost of meeting demand is
1944
+ dtype: string
1945
+ - name: Time for Beam 1
1946
+ dtype: string
1947
+ - name: Time for Beam 2
1948
+ dtype: string
1949
+ - name: Total NPV
1950
+ dtype: string
1951
+ - name: Total Profit
1952
+ dtype: string
1953
+ - name: Total Revenue
1954
+ dtype: string
1955
+ - name: Total amount of filler material used
1956
+ dtype: string
1957
+ - name: Total amount of gas consumed
1958
+ dtype: string
1959
+ - name: Total amount of pollution produced
1960
+ dtype: string
1961
+ - name: Total audience reached
1962
+ dtype: string
1963
+ - name: Total busing miles traveled
1964
+ dtype: string
1965
+ - name: Total cost
1966
+ dtype: string
1967
+ - name: Total cost of operation
1968
+ dtype: string
1969
+ - name: Total donations
1970
+ dtype: string
1971
+ - name: Total earnings
1972
+ dtype: string
1973
+ - name: Total earnings per shift
1974
+ dtype: string
1975
+ - name: Total fuel consumed (liters)
1976
+ dtype: string
1977
+ - name: Total number of animals
1978
+ dtype: string
1979
+ - name: Total number of drills needed
1980
+ dtype: string
1981
+ - name: Total number of grills in the store
1982
+ dtype: string
1983
+ - name: Total number of machines needed
1984
+ dtype: string
1985
+ - name: Total number of pipes
1986
+ dtype: string
1987
+ - name: Total number of ski lifts
1988
+ dtype: string
1989
+ - name: Total operation cost
1990
+ dtype: string
1991
+ - name: Total pollution produced
1992
+ dtype: string
1993
+ - name: Total production time
1994
+ dtype: string
1995
+ - name: Total profit
1996
+ dtype: string
1997
+ - name: Total profit per day
1998
+ dtype: string
1999
+ - name: Total radiation received
2000
+ dtype: string
2001
+ - name: Total radiation to the pancreas
2002
+ dtype: string
2003
+ - name: Total revenue
2004
+ dtype: string
2005
+ - name: Total time required (seconds)
2006
+ dtype: string
2007
+ - name: Total wage bill
2008
+ dtype: string
2009
+ - name: Units from Atlanta to Region 1
2010
+ dtype: string
2011
+ - name: Units from Atlanta to Region 2
2012
+ dtype: string
2013
+ - name: Units from Atlanta to Region 3
2014
+ dtype: string
2015
+ - name: Units from Chicago to Region 1
2016
+ dtype: string
2017
+ - name: Units from Chicago to Region 2
2018
+ dtype: string
2019
+ - name: Units from Chicago to Region 3
2020
+ dtype: string
2021
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2022
+ dtype: string
2023
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2024
+ dtype: string
2025
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2026
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2027
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2028
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2029
+ - name: Units from New York to Region 2
2030
+ dtype: string
2031
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2032
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2033
+ - name: Whether a fire stations should be built in City 1
2034
+ dtype: string
2035
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2036
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2037
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2038
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2039
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2040
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2041
+ - name: Whether a fire stations should be built in City 5
2042
+ dtype: string
2043
+ - name: Whether a fire stations should be built in City 6
2044
+ dtype: string
2045
+ splits:
2046
+ - name: train
2047
+ num_bytes: 2046186
2048
+ num_examples: 421
2049
+ download_size: 711939
2050
+ dataset_size: 2046186
2051
+ - config_name: train
2052
  features:
2053
  - name: id
2054
  dtype: int64
 
5089
  download_size: 1370238
5090
  dataset_size: 8010979
5091
  configs:
5092
+ - config_name: test
5093
+ data_files:
5094
+ - split: train
5095
+ path: test/train-*
5096
  - config_name: train
5097
  data_files:
5098
  - split: train
test/train-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:58122898c17f206a1ff479c19ea3c6374ab1302d98ce083413ec73b555283a37
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+ size 711939