Upload dataset
Browse files- README.md +2053 -1
- test/train-00000-of-00001.parquet +3 -0
README.md
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@@ -1,6 +1,2054 @@
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dataset_info:
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|
4 |
features:
|
5 |
- name: id
|
6 |
dtype: int64
|
@@ -3041,6 +5089,10 @@ dataset_info:
|
|
3041 |
download_size: 1370238
|
3042 |
dataset_size: 8010979
|
3043 |
configs:
|
|
|
|
|
|
|
|
|
3044 |
- config_name: train
|
3045 |
data_files:
|
3046 |
- split: train
|
|
|
1 |
---
|
2 |
dataset_info:
|
3 |
+
- config_name: test
|
4 |
+
features:
|
5 |
+
- name: id
|
6 |
+
dtype: int64
|
7 |
+
- name: question
|
8 |
+
dtype: string
|
9 |
+
- name: results
|
10 |
+
struct:
|
11 |
+
- name: Acres of Corn to plant
|
12 |
+
dtype: string
|
13 |
+
- name: Acres of Pumpkins to grow
|
14 |
+
dtype: string
|
15 |
+
- name: Acres of Soybeans to plant
|
16 |
+
dtype: string
|
17 |
+
- name: Acres of Turnips to grow
|
18 |
+
dtype: string
|
19 |
+
- name: Acres of Wheat to plant
|
20 |
+
dtype: string
|
21 |
+
- name: Acres of cucumbers
|
22 |
+
dtype: string
|
23 |
+
- name: Acres of potatoes
|
24 |
+
dtype: string
|
25 |
+
- name: Amount invested in healthcare
|
26 |
+
dtype: string
|
27 |
+
- name: Amount invested in telecom
|
28 |
+
dtype: string
|
29 |
+
- name: Amount to invest in CDs
|
30 |
+
dtype: string
|
31 |
+
- name: Amount to invest in Growth Stocks
|
32 |
+
dtype: string
|
33 |
+
- name: Amount to invest in Municipal Bonds
|
34 |
+
dtype: string
|
35 |
+
- name: Amount to invest in T-Bills
|
36 |
+
dtype: string
|
37 |
+
- name: Business Statistics
|
38 |
+
dtype: string
|
39 |
+
- name: Calculus
|
40 |
+
dtype: string
|
41 |
+
- name: Computer Simulation
|
42 |
+
dtype: string
|
43 |
+
- name: Data Structures
|
44 |
+
dtype: string
|
45 |
+
- name: Dollars invested in NFTs
|
46 |
+
dtype: string
|
47 |
+
- name: Dollars invested in crypto-currency
|
48 |
+
dtype: string
|
49 |
+
- name: Forecasting
|
50 |
+
dtype: string
|
51 |
+
- name: Gallons of chocolate ice cream
|
52 |
+
dtype: string
|
53 |
+
- name: Gallons of vanilla ice cream
|
54 |
+
dtype: string
|
55 |
+
- name: Hours to run factory 1
|
56 |
+
dtype: string
|
57 |
+
- name: Hours to run factory 2
|
58 |
+
dtype: string
|
59 |
+
- name: Introduction to Computer Programming
|
60 |
+
dtype: string
|
61 |
+
- name: Investment in 1
|
62 |
+
dtype: string
|
63 |
+
- name: Investment in 2
|
64 |
+
dtype: string
|
65 |
+
- name: Investment in 3
|
66 |
+
dtype: string
|
67 |
+
- name: Investment in 4
|
68 |
+
dtype: string
|
69 |
+
- name: Maximum Profit
|
70 |
+
dtype: string
|
71 |
+
- name: Maximum profit
|
72 |
+
dtype: string
|
73 |
+
- name: Maximum profit per day
|
74 |
+
dtype: string
|
75 |
+
- name: Money invested in clothing company
|
76 |
+
dtype: string
|
77 |
+
- name: Money invested in tech company
|
78 |
+
dtype: string
|
79 |
+
- name: Month 1 Inventory at the end of the month
|
80 |
+
dtype: string
|
81 |
+
- name: Month 1 Overtime production
|
82 |
+
dtype: string
|
83 |
+
- name: Month 1 Regular-time production
|
84 |
+
dtype: string
|
85 |
+
- name: Month 2 Inventory at the end of the month
|
86 |
+
dtype: string
|
87 |
+
- name: Month 2 Overtime production
|
88 |
+
dtype: string
|
89 |
+
- name: Month 2 Regular-time production
|
90 |
+
dtype: string
|
91 |
+
- name: Month 3 Inventory at the end of the month
|
92 |
+
dtype: string
|
93 |
+
- name: Month 3 Overtime production
|
94 |
+
dtype: string
|
95 |
+
- name: Month 3 Regular-time production
|
96 |
+
dtype: string
|
97 |
+
- name: Month 4 Inventory at the end of the month
|
98 |
+
dtype: string
|
99 |
+
- name: Month 4 Overtime production
|
100 |
+
dtype: string
|
101 |
+
- name: Month 4 Regular-time production
|
102 |
+
dtype: string
|
103 |
+
- name: Month 5 Inventory at the end of the month
|
104 |
+
dtype: string
|
105 |
+
- name: Month 5 Overtime production
|
106 |
+
dtype: string
|
107 |
+
- name: Month 5 Regular-time production
|
108 |
+
dtype: string
|
109 |
+
- name: Month 6 Inventory at the end of the month
|
110 |
+
dtype: string
|
111 |
+
- name: Month 6 Overtime production
|
112 |
+
dtype: string
|
113 |
+
- name: Month 6 Regular-time production
|
114 |
+
dtype: string
|
115 |
+
- name: Net profit
|
116 |
+
dtype: string
|
117 |
+
- name: New maximum profit
|
118 |
+
dtype: string
|
119 |
+
- name: New optimal number of acres of rye to plant
|
120 |
+
dtype: string
|
121 |
+
- name: New optimal number of acres of winter wheat to plant
|
122 |
+
dtype: string
|
123 |
+
- name: Number of A400 keyboards to produce each week
|
124 |
+
dtype: string
|
125 |
+
- name: Number of Apple Butter batches to produce
|
126 |
+
dtype: string
|
127 |
+
- name: Number of Apple Jelly batches to produce
|
128 |
+
dtype: string
|
129 |
+
- 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
|
143 |
+
- 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
|
153 |
+
- name: Number of helicopter trips
|
154 |
+
dtype: string
|
155 |
+
- 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
|
165 |
+
- name: Number of workers starting on Friday
|
166 |
+
dtype: string
|
167 |
+
- name: Number of workers starting on Monday
|
168 |
+
dtype: string
|
169 |
+
- name: Number of workers starting on Saturday
|
170 |
+
dtype: string
|
171 |
+
- name: Number of workers starting on Sunday
|
172 |
+
dtype: string
|
173 |
+
- name: Number of workers starting on Thursday
|
174 |
+
dtype: string
|
175 |
+
- name: Number of workers starting on Tuesday
|
176 |
+
dtype: string
|
177 |
+
- name: Number of workers starting on Wednesday
|
178 |
+
dtype: string
|
179 |
+
- name: Open Atlanta Warehouse
|
180 |
+
dtype: string
|
181 |
+
- name: Open Chicago Warehouse
|
182 |
+
dtype: string
|
183 |
+
- name: Open Los Angeles Warehouse
|
184 |
+
dtype: string
|
185 |
+
- name: Open New York Warehouse
|
186 |
+
dtype: string
|
187 |
+
- name: Operations Research
|
188 |
+
dtype: string
|
189 |
+
- name: Pants machinery rented
|
190 |
+
dtype: string
|
191 |
+
- name: Shirt machinery rented
|
192 |
+
dtype: string
|
193 |
+
- name: Shorts machinery rented
|
194 |
+
dtype: string
|
195 |
+
- name: Square feet for gas lawn mower
|
196 |
+
dtype: string
|
197 |
+
- name: Square feet for heavy-duty yard machine
|
198 |
+
dtype: string
|
199 |
+
- name: The acres for modern machine
|
200 |
+
dtype: string
|
201 |
+
- name: The acres for traditional machine
|
202 |
+
dtype: string
|
203 |
+
- name: The acres processed by harvester
|
204 |
+
dtype: string
|
205 |
+
- name: The acres processed by windrower
|
206 |
+
dtype: string
|
207 |
+
- name: The amount invested in condos
|
208 |
+
dtype: string
|
209 |
+
- name: The amount invested in detached houses
|
210 |
+
dtype: string
|
211 |
+
- name: The amount of carbon dioxide converted
|
212 |
+
dtype: string
|
213 |
+
- name: The amount of carpets to be made weekly (in square feet)
|
214 |
+
dtype: string
|
215 |
+
- name: The amount of carrot (kg) to be added to each dish
|
216 |
+
dtype: string
|
217 |
+
- name: The amount of chicken in kg
|
218 |
+
dtype: string
|
219 |
+
- 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
|
233 |
+
- name: The amount of grain C to feed the sheep
|
234 |
+
dtype: string
|
235 |
+
- name: The amount of hay processed
|
236 |
+
dtype: string
|
237 |
+
- name: The amount of heavy oil
|
238 |
+
dtype: string
|
239 |
+
- name: The amount of honey transported
|
240 |
+
dtype: string
|
241 |
+
- name: The amount of laminate planks to be made weekly (in square feet)
|
242 |
+
dtype: string
|
243 |
+
- name: The amount of light oil
|
244 |
+
dtype: string
|
245 |
+
- name: The amount of non-sticky oil
|
246 |
+
dtype: string
|
247 |
+
- 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
|
253 |
+
- name: The amount of oil 2 used to produce gas 1
|
254 |
+
dtype: string
|
255 |
+
- name: The amount of oil 2 used to produce gas 2
|
256 |
+
dtype: string
|
257 |
+
- name: The amount of paste produced
|
258 |
+
dtype: string
|
259 |
+
- name: The amount of pork in kg
|
260 |
+
dtype: string
|
261 |
+
- name: The amount of protein consumed
|
262 |
+
dtype: string
|
263 |
+
- name: The amount of regular mix
|
264 |
+
dtype: string
|
265 |
+
- name: The amount of rice transported
|
266 |
+
dtype: string
|
267 |
+
- name: The amount of sand delivered
|
268 |
+
dtype: string
|
269 |
+
- name: The amount of snow transported
|
270 |
+
dtype: string
|
271 |
+
- name: The amount of sour surprise mix
|
272 |
+
dtype: string
|
273 |
+
- name: The amount of tea leaves picked
|
274 |
+
dtype: string
|
275 |
+
- name: The amount of white cabbage (kg) to be added to each dish
|
276 |
+
dtype: string
|
277 |
+
- name: The amount to invest in the elder sister's company
|
278 |
+
dtype: string
|
279 |
+
- name: The amount to invest in the younger sister's company
|
280 |
+
dtype: string
|
281 |
+
- name: The cost of the diet
|
282 |
+
dtype: string
|
283 |
+
- name: The cost of the mixture
|
284 |
+
dtype: string
|
285 |
+
- name: The decision to put item 1 in the knapsack
|
286 |
+
dtype: string
|
287 |
+
- name: The decision to put item 2 in the knapsack
|
288 |
+
dtype: string
|
289 |
+
- name: The decision to put item 3 in the knapsack
|
290 |
+
dtype: string
|
291 |
+
- name: The decision to put item 4 in the knapsack
|
292 |
+
dtype: string
|
293 |
+
- name: The expected average payout
|
294 |
+
dtype: string
|
295 |
+
- name: The fraction of each liter that is cheap paint
|
296 |
+
dtype: string
|
297 |
+
- name: The fraction of each liter that is expensive paint
|
298 |
+
dtype: string
|
299 |
+
- name: The hours for the common company
|
300 |
+
dtype: string
|
301 |
+
- name: The hours for the specialized company
|
302 |
+
dtype: string
|
303 |
+
- name: The hours machine 1 should be used
|
304 |
+
dtype: string
|
305 |
+
- name: The hours machine 2 should be used
|
306 |
+
dtype: string
|
307 |
+
- name: The kg of the first mix
|
308 |
+
dtype: string
|
309 |
+
- name: The kg of the second mix
|
310 |
+
dtype: string
|
311 |
+
- name: The kilograms of Feed A in the mixture
|
312 |
+
dtype: string
|
313 |
+
- name: The kilograms of Feed B in the mixture
|
314 |
+
dtype: string
|
315 |
+
- name: The maximum annual income
|
316 |
+
dtype: string
|
317 |
+
- name: The maximum company's profit
|
318 |
+
dtype: string
|
319 |
+
- name: The maximum contribution to overhead
|
320 |
+
dtype: string
|
321 |
+
- name: The maximum daily revenue
|
322 |
+
dtype: string
|
323 |
+
- name: The maximum exposure
|
324 |
+
dtype: string
|
325 |
+
- name: The maximum financial returns
|
326 |
+
dtype: string
|
327 |
+
- name: The maximum net profit
|
328 |
+
dtype: string
|
329 |
+
- name: The maximum number of exposures
|
330 |
+
dtype: string
|
331 |
+
- name: The maximum overall net profit
|
332 |
+
dtype: string
|
333 |
+
- name: The maximum profit
|
334 |
+
dtype: string
|
335 |
+
- name: The maximum profit from the investment
|
336 |
+
dtype: string
|
337 |
+
- name: The maximum profit is
|
338 |
+
dtype: string
|
339 |
+
- name: The maximum revenue that can be generated
|
340 |
+
dtype: string
|
341 |
+
- name: The maximum total profit
|
342 |
+
dtype: string
|
343 |
+
- name: The maximum total value of the knapsack
|
344 |
+
dtype: string
|
345 |
+
- name: The maximum value of x1 + x2
|
346 |
+
dtype: string
|
347 |
+
- name: The maximum weekly profit
|
348 |
+
dtype: string
|
349 |
+
- name: The minimized cost
|
350 |
+
dtype: string
|
351 |
+
- name: The minimum additional price per dish
|
352 |
+
dtype: string
|
353 |
+
- name: The minimum cholesterol intake
|
354 |
+
dtype: string
|
355 |
+
- name: The minimum cost
|
356 |
+
dtype: string
|
357 |
+
- name: The minimum cost of the compound
|
358 |
+
dtype: string
|
359 |
+
- name: The minimum cost of the mixture
|
360 |
+
dtype: string
|
361 |
+
- name: The minimum daily cost
|
362 |
+
dtype: string
|
363 |
+
- name: The minimum effective time
|
364 |
+
dtype: string
|
365 |
+
- 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
|
372 |
+
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
|
391 |
+
- 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
|
419 |
+
- 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 |
+
- name: The total number of boxes
|
1780 |
+
dtype: string
|
1781 |
+
- name: The total number of branches
|
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 |
+
dtype: string
|
1789 |
+
- name: The total number of coins that can be plated
|
1790 |
+
dtype: string
|
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 |
+
dtype: string
|
1809 |
+
- name: The total number of grapes transported
|
1810 |
+
dtype: string
|
1811 |
+
- name: The total number of jars filled
|
1812 |
+
dtype: string
|
1813 |
+
- name: The total number of jars used
|
1814 |
+
dtype: string
|
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 |
+
dtype: string
|
1839 |
+
- name: The total number of probes used
|
1840 |
+
dtype: string
|
1841 |
+
- name: The total number of refills per hour
|
1842 |
+
dtype: string
|
1843 |
+
- name: The total number of snacks transported
|
1844 |
+
dtype: string
|
1845 |
+
- name: The total number of snow removers
|
1846 |
+
dtype: string
|
1847 |
+
- name: The total number of sports equipment produced
|
1848 |
+
dtype: string
|
1849 |
+
- name: The total number of staff hired
|
1850 |
+
dtype: string
|
1851 |
+
- name: The total number of stores
|
1852 |
+
dtype: string
|
1853 |
+
- name: The total number of teachers
|
1854 |
+
dtype: string
|
1855 |
+
- name: The total number of tests performed
|
1856 |
+
dtype: string
|
1857 |
+
- name: The total number of transportation units
|
1858 |
+
dtype: string
|
1859 |
+
- name: The total number of trips
|
1860 |
+
dtype: string
|
1861 |
+
- name: The total number of units produced
|
1862 |
+
dtype: string
|
1863 |
+
- name: The total number of units that can be sold
|
1864 |
+
dtype: string
|
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 |
+
- name: Units from Los Angeles to Region 1
|
2022 |
+
dtype: string
|
2023 |
+
- name: Units from Los Angeles to Region 2
|
2024 |
+
dtype: string
|
2025 |
+
- name: Units from Los Angeles to Region 3
|
2026 |
+
dtype: string
|
2027 |
+
- name: Units from New York to Region 1
|
2028 |
+
dtype: string
|
2029 |
+
- name: Units from New York to Region 2
|
2030 |
+
dtype: string
|
2031 |
+
- name: Units from New York to Region 3
|
2032 |
+
dtype: string
|
2033 |
+
- name: Whether a fire stations should be built in City 1
|
2034 |
+
dtype: string
|
2035 |
+
- name: Whether a fire stations should be built in City 2
|
2036 |
+
dtype: string
|
2037 |
+
- name: Whether a fire stations should be built in City 3
|
2038 |
+
dtype: string
|
2039 |
+
- name: Whether a fire stations should be built in City 4
|
2040 |
+
dtype: string
|
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
|
2 |
+
oid sha256:58122898c17f206a1ff479c19ea3c6374ab1302d98ce083413ec73b555283a37
|
3 |
+
size 711939
|