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dragon-deci-7b-v0_answer_sheet_1215_1.jsonl ADDED
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1
+ {"number": 0, "llm_response": "$22,500.00", "gold_answer": "$22,500.00"}
2
+ {"number": 1, "llm_response": "#0001", "gold_answer": "#0001"}
3
+ {"number": 2, "llm_response": "\u2022Front End Engineering Service - $5000.00;\r\n\u2022Back End Engineering Service - $7500.00;\r\n\u2022Quality Assurance Manager - $10,000.00;\r\n\u2022Total Amount - $22,500.00.", "gold_answer": "\u2022Front End Engineering Service;\n\u2022Back End Engineering Service;\n\u2022Quality Assurance Manager"}
4
+ {"number": 3, "llm_response": "Bia Hermes", "gold_answer": "Bia Hermes"}
5
+ {"number": 4, "llm_response": "# 1000", "gold_answer": "#1000"}
6
+ {"number": 5, "llm_response": "Within 30 days.", "gold_answer": "within 30 days of 01/01/2022"}
7
+ {"number": 6, "llm_response": "May 3, 2022", "gold_answer": "May 3, 2022"}
8
+ {"number": 7, "llm_response": "$4,150.00", "gold_answer": "4150.00"}
9
+ {"number": 8, "llm_response": "$4,565.00", "gold_answer": "4565.00"}
10
+ {"number": 9, "llm_response": "\u202230 boxes of printer paper;\r\n\u202210 printer cartridges;\r\n\u20225 laser printers.", "gold_answer": "\u202230 Boxes of Printer Paper;\n\u202210 Printer Cartridges;\n\u20225 Laser Printers."}
11
+ {"number": 10, "llm_response": "No. 234", "gold_answer": "234"}
12
+ {"number": 11, "llm_response": "ABC Company and Delta Inc.", "gold_answer": "ABC Company and Delta Inc."}
13
+ {"number": 12, "llm_response": "30", "gold_answer": "30"}
14
+ {"number": 13, "llm_response": "Due on receipt on May 3, 2022.", "gold_answer": "Due on Receipt"}
15
+ {"number": 14, "llm_response": "8675 River Run Road, Marlington, CT 09392", "gold_answer": "8675 River Run Road, Marlington, CT 09392"}
16
+ {"number": 15, "llm_response": "March 3, 2022", "gold_answer": "March 3, 2022"}
17
+ {"number": 16, "llm_response": "January 20, 2021", "gold_answer": "January 20, 2021"}
18
+ {"number": 17, "llm_response": "Donald Trump", "gold_answer": "Donald Trump"}
19
+ {"number": 18, "llm_response": "Delaware", "gold_answer": "Delaware"}
20
+ {"number": 19, "llm_response": "Barack Obama", "gold_answer": "Barack Obama"}
21
+ {"number": 20, "llm_response": "1. Vivek Murthy, former Surgeon General;\r\n2. David A. Kessler, former FDA commissioner;\r\n3. Marcella Nunez-Smith, Yale University.", "gold_answer": "1. former Surgeon General Vivek Murthy;\n2. former FDA commissioner David A. Kessler;\n3. Yale University's Marcella Nunez-Smith."}
22
+ {"number": 21, "llm_response": "Jon Ossoff and Raphael Warnock", "gold_answer": "Jon Ossoff and Raphael Warnock"}
23
+ {"number": 22, "llm_response": "Two-year term", "gold_answer": "Two-year term"}
24
+ {"number": 23, "llm_response": "26,000", "gold_answer": "26,000"}
25
+ {"number": 24, "llm_response": "November 23, 2020", "gold_answer": "November 23"}
26
+ {"number": 25, "llm_response": "$52.9 billion", "gold_answer": "$52.9 billion"}
27
+ {"number": 26, "llm_response": "10%", "gold_answer": "Increased 10%, up 15% in constant currency"}
28
+ {"number": 27, "llm_response": "March 31, 2023", "gold_answer": "March 31, 2023"}
29
+ {"number": 28, "llm_response": "Focused execution by the sales team and partners in a dynamic environment.", "gold_answer": "Focused execution by our sales teams and partners"}
30
+ {"number": 29, "llm_response": "$28.5 billion, up 22% year-over-year.", "gold_answer": "$28.5 billion"}
31
+ {"number": 30, "llm_response": "8%", "gold_answer": "10%"}
32
+ {"number": 31, "llm_response": "65.4 million", "gold_answer": "65.4 million"}
33
+ {"number": 32, "llm_response": "$22.1 billion, which is up 16%.", "gold_answer": "$22.1 billion"}
34
+ {"number": 33, "llm_response": "1956", "gold_answer": "1956"}
35
+ {"number": 34, "llm_response": "It suggests that a machine can simulate both mathematical deduction and formal reasoning.", "gold_answer": "A machine, by shuffling symbols as simple as '0' and '1' can simulate both mathematical deduction and formal reasoning."}
36
+ {"number": 35, "llm_response": "1956", "gold_answer": "1943"}
37
+ {"number": 36, "llm_response": "1956", "gold_answer": "1956"}
38
+ {"number": 37, "llm_response": "A period when obtaining funding for AI projects was difficult.", "gold_answer": "A period when obtaining funding for AI projects is difficult."}
39
+ {"number": 38, "llm_response": "Machines will be capable, within twenty years, of doing any work a man can do.", "gold_answer": "He predicted that machines would be capable of doing any work a man can do within twenty years."}
40
+ {"number": 39, "llm_response": "1987", "gold_answer": "1987."}
41
+ {"number": 40, "llm_response": "TestCo Software, Inc.", "gold_answer": "TestCo Software, Inc."}
42
+ {"number": 41, "llm_response": "Aphrodite Apollo (\"Executive\") and TestCo Software, Inc. (the \"Company\")", "gold_answer": "Aphrodite Apollo ('Executive') and TestCo Software, Inc. ('Company')"}
43
+ {"number": 42, "llm_response": "April 16, 2012", "gold_answer": "April 16, 2012."}
44
+ {"number": 43, "llm_response": "Customer", "gold_answer": "Customer"}
45
+ {"number": 44, "llm_response": "30 days written notice", "gold_answer": "30 days"}
46
+ {"number": 45, "llm_response": "30 days written notice, and if the other party is in material breach and not cured within 15 days of notice of such breach.", "gold_answer": "If the breach is not cured within 15 days of notice of the breach."}
47
+ {"number": 46, "llm_response": "Yes, either party may terminate for convenience by giving 30 days written notice, or for material breach if not cured within 15 days' notice.", "gold_answer": "Yes, by either party with 30 days written notice."}
48
+ {"number": 47, "llm_response": "SVP of the Workforce Optimization Division", "gold_answer": "Senior Vice President, Event Planning ('SVP') of the Workforce Optimization Division."}
49
+ {"number": 48, "llm_response": "$200,000 annual rate", "gold_answer": "$200,000"}
50
+ {"number": 49, "llm_response": "Section 2.2", "gold_answer": "Section 2.2"}
51
+ {"number": 50, "llm_response": "Annually", "gold_answer": "Annually"}
52
+ {"number": 51, "llm_response": "State of Massachusetts", "gold_answer": "State of Massachusetts, except for Section 18(a)"}
53
+ {"number": 52, "llm_response": "State of Delaware", "gold_answer": "State of Delaware"}
54
+ {"number": 53, "llm_response": "Section 19", "gold_answer": "Section 19"}
55
+ {"number": 54, "llm_response": "195.12 points, or 0.76%", "gold_answer": "195.12 points"}
56
+ {"number": 55, "llm_response": "438,000", "gold_answer": "438,000 jobs"}
57
+ {"number": 56, "llm_response": "273,000 jobs.", "gold_answer": "273,000 jobs"}
58
+ {"number": 57, "llm_response": "1.35%", "gold_answer": "Up 1.35%"}
59
+ {"number": 58, "llm_response": "Vibrant Industries Capital Advisors", "gold_answer": "Vibrant Industries Capital Advisors"}
60
+ {"number": 59, "llm_response": "4.58%", "gold_answer": "4.58%"}
61
+ {"number": 60, "llm_response": "$350,000.", "gold_answer": "$350,000"}
62
+ {"number": 61, "llm_response": "$33.", "gold_answer": "$33"}
63
+ {"number": 62, "llm_response": "61 years old.", "gold_answer": "61"}
64
+ {"number": 63, "llm_response": "One Red River Road, Stamford, Connecticut 08234.", "gold_answer": "One Red River Road, Stamford, Connecticut 08234"}
65
+ {"number": 64, "llm_response": "Simmons Corp.", "gold_answer": "Simmons Corp"}
66
+ {"number": 65, "llm_response": "Vice President of Sales", "gold_answer": "Vice President of Sales"}
67
+ {"number": 66, "llm_response": "101% increase from the previous year.", "gold_answer": "Up 101%"}
68
+ {"number": 67, "llm_response": "$13.51 billion", "gold_answer": "$13.51 billion"}
69
+ {"number": 68, "llm_response": "7.5 million shares", "gold_answer": "7.5 million shares"}
70
+ {"number": 69, "llm_response": "Jensen Huang", "gold_answer": "Jensen Huang"}
71
+ {"number": 70, "llm_response": "141%", "gold_answer": "Up 141% from Q1"}
72
+ {"number": 71, "llm_response": "$2.48, up 854% from a year ago and up 202% from the previous quarter.", "gold_answer": "$2.48"}
73
+ {"number": 72, "llm_response": "September 28, 2023", "gold_answer": "September 28, 2023"}
74
+ {"number": 73, "llm_response": "148%.", "gold_answer": "Up 148%"}
75
+ {"number": 74, "llm_response": "Yes, 71.5% > 70%.", "gold_answer": "Yes, between 71.5% and 72.%"}
76
+ {"number": 75, "llm_response": "$16.00 billion, plus or minus 2%.", "gold_answer": "$16.00 billion, plus or minus 2%."}
77
+ {"number": 76, "llm_response": "NVIDIA GH200 Grace Hopper Superchip for complex AI and HPC workloads.", "gold_answer": "NVIDIA GH200 Grace Hopper Superchip"}
78
+ {"number": 77, "llm_response": "14.5%", "gold_answer": "14.5%, plus or minor 1%"}
79
+ {"number": 78, "llm_response": "$2.00 billion", "gold_answer": "$2.00 billion"}
80
+ {"number": 79, "llm_response": "$2.95 billion", "gold_answer": "$2.95 billion"}
81
+ {"number": 80, "llm_response": "$2.49 billion, up 11% from the previous quarter and up 22% from a year ago.", "gold_answer": "$2.49 billion"}
82
+ {"number": 81, "llm_response": "$379 million, down 24% from the previous year.", "gold_answer": "$379 million"}
83
+ {"number": 82, "llm_response": "28% increase.", "gold_answer": "Up 28%"}
84
+ {"number": 83, "llm_response": "Pixar, Adobe, Apple and Autodesk.", "gold_answer": "Pixar, Adobe, Apple, Autodesk and NVIDIA"}
85
+ {"number": 84, "llm_response": "35", "gold_answer": "35"}
86
+ {"number": 85, "llm_response": "$299.", "gold_answer": "$299"}
87
+ {"number": 86, "llm_response": "MediaTek", "gold_answer": "MediaTek"}
88
+ {"number": 87, "llm_response": "Refinitiv.", "gold_answer": "Refinitiv"}
89
+ {"number": 88, "llm_response": "Jerome Powell", "gold_answer": "Jerome Powell"}
90
+ {"number": 89, "llm_response": "Japan", "gold_answer": "Japan"}
91
+ {"number": 90, "llm_response": "16.3% compared to the same period last year.", "gold_answer": "Down 16.3%"}
92
+ {"number": 91, "llm_response": "62.4 billion yen ($416.6 million)", "gold_answer": "62.4 billion yen ($416.6 million)"}
93
+ {"number": 92, "llm_response": "$416.6 million", "gold_answer": "Deficit of 42.5 billion yen."}
94
+ {"number": 93, "llm_response": "4.3% year on year", "gold_answer": "Up 4.3%"}
95
+ {"number": 94, "llm_response": "3,577", "gold_answer": "3,577"}
96
+ {"number": 95, "llm_response": "3.2%", "gold_answer": "3.2%"}
97
+ {"number": 96, "llm_response": "Buy", "gold_answer": "Buy"}
98
+ {"number": 97, "llm_response": "Buy rating", "gold_answer": "Buy"}
99
+ {"number": 98, "llm_response": "$16 per share, down from $17.", "gold_answer": "$16"}
100
+ {"number": 99, "llm_response": "133 million euros, which is a 69% decline year-on-year.", "gold_answer": "133 million euros."}
101
+ {"number": 100, "llm_response": "Not Found.", "gold_answer": "Not Found"}
102
+ {"number": 101, "llm_response": "Not Found.", "gold_answer": "Not Found."}
103
+ {"number": 102, "llm_response": "Not Found.", "gold_answer": "Not Found"}
104
+ {"number": 103, "llm_response": "Not Found.", "gold_answer": "Not Found"}
105
+ {"number": 104, "llm_response": "Not Found.", "gold_answer": "Not Found."}
106
+ {"number": 105, "llm_response": "Not Found.", "gold_answer": "Not Found."}
107
+ {"number": 106, "llm_response": "Not Found.", "gold_answer": "Not Found."}
108
+ {"number": 107, "llm_response": "Not Found.", "gold_answer": "Not Found."}
109
+ {"number": 108, "llm_response": "Not Found.", "gold_answer": "Not Found."}
110
+ {"number": 109, "llm_response": "Not Found.", "gold_answer": "Not Found"}
111
+ {"number": 110, "llm_response": "Elon Musk", "gold_answer": "Not Found."}
112
+ {"number": 111, "llm_response": "Not Found.", "gold_answer": "Not Found."}
113
+ {"number": 112, "llm_response": "Not Found.", "gold_answer": "Not Found."}
114
+ {"number": 113, "llm_response": "Not Found.", "gold_answer": "Not Found"}
115
+ {"number": 114, "llm_response": "Not Found.", "gold_answer": "Not Found."}
116
+ {"number": 115, "llm_response": "Not Found.", "gold_answer": "Not Found."}
117
+ {"number": 116, "llm_response": "Not Found.", "gold_answer": "Not Found."}
118
+ {"number": 117, "llm_response": "Not Found.", "gold_answer": "Not Found."}
119
+ {"number": 118, "llm_response": "Not Found.", "gold_answer": "Not Found."}
120
+ {"number": 119, "llm_response": "Not Found.", "gold_answer": "Not Found."}
121
+ {"number": 120, "llm_response": "Yes.", "gold_answer": "Yes, by more than 22%."}
122
+ {"number": 121, "llm_response": "No.", "gold_answer": "No, Chipotle is increasing prices."}
123
+ {"number": 122, "llm_response": "No.", "gold_answer": "No, it is lowering the target from $38 to $36."}
124
+ {"number": 123, "llm_response": "No, 4.98 billion euros < 5 billion euros.", "gold_answer": "No."}
125
+ {"number": 124, "llm_response": "Yes.", "gold_answer": "Yes."}
126
+ {"number": 125, "llm_response": "No.", "gold_answer": "No, down 73 points."}
127
+ {"number": 126, "llm_response": "Yes, the 10-year yield is above 4.9%.", "gold_answer": "Yes, it topped 4.9%."}
128
+ {"number": 127, "llm_response": "No.", "gold_answer": "No, it was down 1.6%."}
129
+ {"number": 128, "llm_response": "No, revenue was down 15%.", "gold_answer": "No, it was down 15% from the previous quarter."}
130
+ {"number": 129, "llm_response": "Yes, up 15%.", "gold_answer": "Yes, up 15%."}
131
+ {"number": 130, "llm_response": "Yes, $253 million > $250 million.", "gold_answer": "Yes"}
132
+ {"number": 131, "llm_response": "No.", "gold_answer": "No, it was up 11% quarter-to-quarter and 22% year-to-year."}
133
+ {"number": 132, "llm_response": "Yes, 101% > 50%.", "gold_answer": "Yes, it increased 101% year-to-year."}
134
+ {"number": 133, "llm_response": "Yes, $3.38 billion > $3.28 billion.", "gold_answer": "Yes, $3.38 billion was returned"}
135
+ {"number": 134, "llm_response": "Not Found.", "gold_answer": "No, it decreased by 28%"}
136
+ {"number": 135, "llm_response": "No.", "gold_answer": "No, net sales declined 20% year-on-year, and the company has described the market environment as 'challenging.'"}
137
+ {"number": 136, "llm_response": "Yes, sales are down 20%.", "gold_answer": "Yes, net sales declined 20% year-on-year."}
138
+ {"number": 137, "llm_response": "No.", "gold_answer": "No, exports to Asia decreased for the last nine months."}
139
+ {"number": 138, "llm_response": "Yes.", "gold_answer": "Yes, by 4.3% year to year."}
140
+ {"number": 139, "llm_response": "No.", "gold_answer": "No, the base salary is $200,000."}
141
+ {"number": 140, "llm_response": "$253 million + $100 million = $353 million.", "gold_answer": "$353 million"}
142
+ {"number": 141, "llm_response": "$14 + $2 = $16.", "gold_answer": "$16"}
143
+ {"number": 142, "llm_response": "$12 - $3 = $9. The new price is $9.", "gold_answer": "$9"}
144
+ {"number": 143, "llm_response": "January 15, 2019", "gold_answer": "January 15, 2019"}
145
+ {"number": 144, "llm_response": "37 + 10 = 47. Bryan is now 47 years old.", "gold_answer": "47 years old."}
146
+ {"number": 145, "llm_response": "$425,000 + $25,000 = $450,000.", "gold_answer": "$450,000"}
147
+ {"number": 146, "llm_response": "January 15.", "gold_answer": "January 15"}
148
+ {"number": 147, "llm_response": "1,000 X 2 = 2,000.", "gold_answer": "2,000"}
149
+ {"number": 148, "llm_response": "$1200 X 50% = $600. The new rental price will be $1200 + $600 = $1800.", "gold_answer": "$1800"}
150
+ {"number": 149, "llm_response": "$200,000 X 50% = $100,000.", "gold_answer": "$100,000"}
151
+ {"number": 150, "llm_response": "\u2022Liam - 41 years old;\r\n\u2022Francois - 29 years old;\r\n\u2022Ashish - 27 years old;\r\n\u2022Myra - 23 years old.", "gold_answer": "1. Liam - 41;\n2. Francois - 29;\n3. Ashish - 27;\n4. Myra - 23."}
152
+ {"number": 151, "llm_response": "John is 47 years old, and Elizabeth is 35 years old. John is older than Elizabeth.", "gold_answer": "John"}
153
+ {"number": 152, "llm_response": "Chocolate - $3.25.", "gold_answer": "Chocolate - $3.25"}
154
+ {"number": 153, "llm_response": "Coffee - $5.50.", "gold_answer": "Cheese - $6.25"}
155
+ {"number": 154, "llm_response": "No, $3.25 < $5.50.", "gold_answer": "No, chocolate has a lower price than coffee."}
156
+ {"number": 155, "llm_response": "Nasdaq 100 futures, which ticked up 63 points, or 0.5%.", "gold_answer": "Nasdaq 100 futures, up 63 points."}
157
+ {"number": 156, "llm_response": "Nasdaq 100 futures, up 63 points, or 0.5%.", "gold_answer": "S&P 500 futures futures, up 1.2%."}
158
+ {"number": 157, "llm_response": "Red Dog LLC - $61.", "gold_answer": "River Industries - $53."}
159
+ {"number": 158, "llm_response": "$19 + $2 = $21.", "gold_answer": "$21"}
160
+ {"number": 159, "llm_response": "$87,000.", "gold_answer": "PO 1993"}
161
+ {"number": 160, "llm_response": "(D) $28.5 billion.", "gold_answer": "(D) $28.5 billion"}
162
+ {"number": 161, "llm_response": "(B) TestCo Software.", "gold_answer": "(B) TestCo Software."}
163
+ {"number": 162, "llm_response": "(D) $10,000.", "gold_answer": "(D) $10,000."}
164
+ {"number": 163, "llm_response": "(C) 14%.", "gold_answer": "(C) 14%."}
165
+ {"number": 164, "llm_response": "(B) 69%.", "gold_answer": "(B) 69%."}
166
+ {"number": 165, "llm_response": "\u20222022 - $81,462;\r\n\u20222021 - $53,823;\r\n\u20222020 - $31,536;\r\n\u20222019 - $24,578.", "gold_answer": "\u20222019 - 24,578;\n\u20222020 - 31,536;\n\u20222021 - 53,823;\n\u20222022 - 81,462."}
167
+ {"number": 166, "llm_response": "$297", "gold_answer": "297."}
168
+ {"number": 167, "llm_response": "$6,496", "gold_answer": "6,496."}
169
+ {"number": 168, "llm_response": "$24,578", "gold_answer": "18,402."}
170
+ {"number": 169, "llm_response": "$13,719", "gold_answer": "13,719"}
171
+ {"number": 170, "llm_response": "\u2022Herbert Simon,\r\n\u2022Marvin Minsky,\r\n\u2022Sir James Lighthill, and\r\n\u2022Papert.", "gold_answer": "\u2022Herbert Simon;\n\u2022Marvin Minsky;\n\u2022Sir James Lighthill;\n\u2022Papert."}
172
+ {"number": 171, "llm_response": "\u2022ServiceNow and Accenture to develop AI Lighthouse;\r\n\u2022VMware to extend strategic partnership;\r\n\u2022Snowflake to develop generative AI-enabled content engine;\r\n\u2022Softbank to create platform for generative AI and 5G/6G applications;\r\n\u2022Hugging Face to give developers access to Nvidia DGX Cloud AI supercomputing;\r\n\u2022Nvidia AI Workbench to create, test and customize pretrained AI models", "gold_answer": "\u2022Amazon Web Services;\n\u2022Microsoft Azure;\u2022\nRegional Cloud Service Providers;\n\u2022ServiceNow;\n\u2022Accenture;\n\u2022VMWare;\n\u2022Snowflake;\n\u2022WPP;\n\u2022Softbank;\n\u2022Hugging Face."}
173
+ {"number": 172, "llm_response": "\u2022Tesla,\r\n\u2022Netflix,\r\n\u2022Fifth Third,\r\n\u2022KeyCorp,\r\n\u2022American Airlines,\r\n\u2022Union Pacific, and\r\n\u2022CSX.", "gold_answer": "\u2022Tesla;\n;\u2022Netflix;\n\u2022KeyCorp;\n\u2022Fifth Third;\n\u2022Truist Financial;\n\u2022American Airlines;\n\u2022Union Pacific;\n\u2022CSX."}
174
+ {"number": 173, "llm_response": "1. U.S.;\r\n2. Britain;\r\n3. Japan.", "gold_answer": "1. U.S;\n2. UK;\n3. Japan."}
175
+ {"number": 174, "llm_response": "The reason for the intraday reversal was unclear, but some noted that it could be the softer wage number in the jobs report, and others noted the pullback in yields from the day's highs. Part of the rally may just be to do a market that had gotten extremely oversold.", "gold_answer": "Traders were unclear of the reason, but some noted it could be the softer wage numberin the jobs report."}
176
+ {"number": 175, "llm_response": "The Finnish telecommunications giant said that it will reduce its cost base and increase operation efficiency to \"address the challenging market environment.\"", "gold_answer": "Cost cutting plan"}
177
+ {"number": 176, "llm_response": "Tesla stock declined 4% after the company missed expectations on earnings and revenue in the third quarter. CEO Elon Musk also warned that the Cybertruck will not produce much positive cash flow more than a year after production starts.", "gold_answer": "The company missed expectations on earnings and revenue,and Elon Musk warned that the Cybertruck will not producepositive cash flow for more than a year."}
178
+ {"number": 177, "llm_response": "\u2022Two Democrats won special runoff elections on January 5, 2021 - Jon Ossoff and Raphael Warnock;\r\n\u2022On January 6, 2021, a mob of Trump supporters stormed the Capitol, forcing Congress to evacuate, and resulting in the deployment of thousands of National Guard members to the Capitol for the inauguration.", "gold_answer": "The electoral victories in Georgia by Jon Ossoff and Raphael Warnock."}
179
+ {"number": 178, "llm_response": "North Industries", "gold_answer": "North Industries"}
180
+ {"number": 179, "llm_response": "Blue Moon Tech.", "gold_answer": "Blue Moon Tech."}
181
+ {"number": 180, "llm_response": "\u2022Revenue: $16.00 billion, plus or minus 2%;\r\n\u2022GAAP and non-GAAP gross margins: 71.5% and 72.5%, plus or minus 50 basis points;\r\n\u2022GAAP and non-GAAP operating expenses: approximately $2.95 billion and $2.00 billion, respectively;\r\n\u2022GAAP and non-GAAP other income and expense:", "gold_answer": "\u2022Revenue: $16.00 billion, plus or minus 2%;\n\u2022Gross Margins: 71.5%-72.%, plus or minor 50 basis points;\n\u2022GAAP operating expenses: $2.95 billion;\n\u2022Non - GAAP operating expense: $2.00 billion."}
182
+ {"number": 181, "llm_response": "\u2022Second quarter revenue was a record $10.32 billion;\r\n\u2022Second quarter revenue was up 141% from the previous quarter;\r\n\u2022Second quarter revenue was up 171% from a year ago;\r\n\u2022Announced that the NVIDIA GH200 Grace Hopper Superchip for complex AI and HPC workloads is shipping this quarter;\r\n\u2022Second generation version with HBM3e memory is expected to ship in Q2 of ", "gold_answer": "\u2022Second-quarter revenue: record $10.32 billion;\n\u2022Up 141% from previous quarter;\nUp 171% from previousyear"}
183
+ {"number": 182, "llm_response": "1. Record revenue of $13.51 billion, up 88% from Q1, up 101% from year ago;\r\n2. Record Data Center revenue of $10.32 billion, up 141% from Q1, up 171% from year ago;\r\n3. GAAP EPS of $2.48, up 854% from a year ago, and up 20", "gold_answer": "1. Record revenue of $13.51 billion;\n2. Record Data Center revenue of $10.32 billion;\n3. GAAP earnings per diluted share of $2.48."}
184
+ {"number": 183, "llm_response": "\u2022Joe Biden is the 46th President of the United States;\r\n\u2022He was inaugurated on January 20, 2021;\r\n\u2022He is a Democrat from Delaware;\r\n\u2022He served as Vice President under Barack Obama;\r\n\u2022He won the 2020 presidential election over Donald Trump;\r\n\u2022He is the oldest president in American history.", "gold_answer": "\u2022Joe Biden was inaugurated on January 20, 2021;\n\u2022Biden is the 46th President of the United States;\n\u2022Biden previously served as Vice President under Barack Obama;\n\u2022Biden won the 2020 presidential election over incumbent Donald Trump;\n\u2022Biden is the oldest president in American history."}
185
+ {"number": 184, "llm_response": "1. General Services Administration head Emily W. Murphy refused to begin the transition to the president-elect, generally acknowledged as the winner, until Michigan certified its results.\r\n2. On November 23, after Michigan certified its results, Murphy issued the letter of ascertainment, granting the Biden transition team access to federal funds and resources.\r\n3. On January 5, 2021, the Democratic Party won control of the United States Senate, effective January ", "gold_answer": "1. General Services Administration head Emily W. Murphy initially refused to begin the transition for president-elect Biden until Michigan certified its results on November 23;\n2. Two days after becoming the projected winner, Biden announced the formation of a task forceto advise on the COVID-19 pandemic;\n3. On January 5, 2021, the Democratic Party won control of the U.S. Senate, with the electoralvictories in Georgia by Jon Ossoff and Raphael Warnock;\n4. On January 6, 2021, a mob of Trump supporters stormed the Capitol, forcing Congress to evacuateduring the counting of the Electoral Votes;\n5. For the inauguration, more than 26,000 National Guard members were deployed."}
186
+ {"number": 185, "llm_response": "\u2022Record revenue of $13.51 billion, up 88% from Q1, up 101% from year ago;\r\n\u2022Record Data Center revenue of $10.32 billion, up 141% from Q1, up 171% from year ago;\r\n\u2022GAAP earnings per diluted share of $2.48, up 854% from a year ago, up 202% from", "gold_answer": "\u2022Revenue: $52.9 million, up 10% in constant currency;\n\u2022Operating income: $22.4 billion, up 15% in constant currency;\n\u2022Net income: $18.3 billion, up 14% in constant currency;\n\u2022Diluted earnings per share: $2.45 billion, up 14% in constant currency."}
187
+ {"number": 186, "llm_response": "1. The study of mechanical or \"formal\" reasoning began with philosophers and mathematicians in antiquity.\r\n2. The study of logic led directly to Alan Turing's theory of computation.\r\n3. The first paper later recognized as \"AI\" was McCullouch and Pitts design for Turing-complete \"artificial neurons\" in 1943.", "gold_answer": "1. The study of formal reasoning began in antiquity;\n2. These studies led directly to Alan Turing's theory of computation, which led researchers to consider the possibility of building an 'electronic brain';\n3. The first paper that recognized AI was published in 1943, and the field was founded in 1956."}
188
+ {"number": 187, "llm_response": "\u2022The attendees became the leaders of AI research in the 1960s, and produced programs that the press described as \"astonishing\" - computers were learning checkers strategies, solving word problems in algebra, proving logical theorems and speaking English.\r\n\u2022By the mid-1960s, research in the U.S. was heavily funded by the Department of Defense, and laboratories had been established around the world.\r\n\u2022Marvin M", "gold_answer": "\u2022In the 1960s, AI researchers produced 'astonishing' programs that could learn checkers, word problems,prove logical theorems and speak English;\n\u2022AI research at the time was funded heavily by the U.S. Department of Defense;\n\u2022Herbert Simon predicted that machines would be capable in 20 years of doing human work;\n\u2022Marvin Minskey predicted that AI would be substantially solved within a generation;\n\u2022Due to these under-estimations of the difficulty of the problem, reduced government funding, and concerns about the real-world use of neural networks, the 'AI winter' followed;\n\u2022AI research was revived in the 1980s with expert systems, and the market for AI reached over $1 billion in 1985;\nHowever, with the collapse of the Lisp machine market in 1987, AI fell in disrepute again, and another AI winter ensued."}
189
+ {"number": 188, "llm_response": "\u2022Wednesday - $27;\r\n\u2022Thursday - $33;\r\n\u2022Friday - $36.", "gold_answer": "\u2022Wednesday - $27;\n\u2022Thursday - $33;\n\u2022Friday - $36."}
190
+ {"number": 189, "llm_response": "Joe Biden, age 78, is the 46th President of the United States.", "gold_answer": "Joe Biden is the 46th President of the United States."}
191
+ {"number": 190, "llm_response": "Two days after becoming the projected winner of the 2020 election, Biden formed a task force to advise on COVID-19 during the transition, co-chaired by Surgeon General Vivek Murthy, FDA Commissioner David Kessler, and Yale University's Marcella Nunez-Smith. On January 6, a mob of Trump supporters stormed the Capitol, forcing Congress to evacuate during the counting of the Electoral College votes", "gold_answer": "After Biden won the election, he formed a pandemic task force, the democrats won the Senate, and a mob stormed the Capital on January 6."}
192
+ {"number": 191, "llm_response": "Not Found.", "gold_answer": "\u2022Office Commercial Products;\n\u2022Office Consumer Products;\n\u2022Microsoft 365 Consumer;\n\u2022LinkedIn;\n\u2022Dynamics Products;\n\u2022Server Products;\n\u2022More Personal Computing;\n\u2022Windows OEM;\n\u2022Devices;\n\u2022Windows Commercial;\n\u2022Xbox;\n\u2022Search and News Advertising."}
193
+ {"number": 192, "llm_response": "\u2022Invoice Date: March 3, 2022;\r\n\u2022Invoice No: 234;\r\n\u2022ABC Company 8675 River Run Road, Marlington, CT 09392;\r\n\u2022Invoice to Delta Inc. 8723 Wilton Boulevard, Los Angeles, CA;\r\n\u2022Payment terms due date: May 3, 2022;\r\n\u2022Quantity Description Unit Price Line Total", "gold_answer": "\u2022Invoice Date: March 3, 2022;\\\u2022Invoice Number: No 234;\n\u2022From: ABC Company;\n\u2022To: Delta Inc.;\n\u2022Due Date: Due on Receipt;\n\u2022Total: $4565.00."}
194
+ {"number": 193, "llm_response": "Microsoft CEO Satya Nadella said, \"The world's most advanced AI models are coming together with the world's most universal user interface - natural language - to create a new era of computing.\" Microsoft Cloud revenue was up 22% year-over-year.", "gold_answer": "According to Microsoft's CEO and CFO, the Microsoft Cloud is the platform for choice for AI,and growing 22% year-over-year as a result of focused execution."}
195
+ {"number": 194, "llm_response": "\u2022Vivek Murthy,\r\n\u2022David A. Kessler,\r\n\u2022Marcella Nunez-Smith,\r\n\u2022Jon Ossoff,\r\n\u2022Raphael Warnock,\r\n\u2022National Guard members", "gold_answer": "\u2022Biden;\n\u2022Emily W. Murphy;\n\u2022Vivek Murthy;\n\u2022David A. Kessler;\n\u2022Marcella Nunez-Smith;\n\u2022Jon Ossoff;\n\u2022Raphael Warnock."}
196
+ {"number": 195, "llm_response": "Nokia announced a cost cutting plan that includes layoffs of up to 14,000 jobs, following a 20% decline in net sales and a 69% decline in profit.", "gold_answer": "Nokia is cutting 14,000 jobs as part of a cost reductionplan after reporting profits that declined 69% year-on-year."}
197
+ {"number": 196, "llm_response": "\u2022Senior Vice President, Event Planning (\"SVP\") of the Employer's Workforce Optimization Division;\r\n\u2022Reporting to the Board of Directors of Employer;\r\n\u2022Devoting substantially all of his business time and attention;\r\n\u2022Responsible for running the day-to-day operations of the Employer and its subsidiaries;\r\n\u2022Performing faithfully, diligently and competently the duties and responsibilities of a SV", "gold_answer": "\u2022Senior Vice President, Event Planning ('SVP') of Workforce Optimization Division;\n\u2022Report to Board of Directors;\n\u2022Devote substantially all of business time and attention to the operations of the Employer;\n\u2022responsible for running Employer's day-to-day operations;\n\u2022Perform faithfully, diligently and competently the duties and responsibilities of a SVP."}
198
+ {"number": 197, "llm_response": "NVIDIA Announces Financial Results for Second Quarter Fiscal 2024\r\nAugust 23, 2023\r\nRecord revenue of $13.51 billion, up 88% from Q1, up 101% from year ago\r\nRecord Data Center revenue of $10.32 billion, up 141% from Q1, up 171% from year ago", "gold_answer": "NVIDIA Announces Second Quarter Fiscal 2024 Results with record revenue of $13.51 billion."}
199
+ {"number": 198, "llm_response": "The world's most advanced AI models are coming together with the world's most universal user interface - natural language - to create a new era of computing.", "gold_answer": "Microsoft Cloud is the platform of choice for the next generation of AI."}
200
+ {"number": 199, "llm_response": "\u2022Services Vendor Inc.\r\n\u2022100 Elm Street, Pleasantville, NY 10010\r\n\u2022Alpha Inc.\r\n\u20225900 1st Street, Los Angeles, CA 10000\r\n\u2022Description of Services:\r\n\u2022Front End Engineering Service - $5,000.00\r\n\u2022Back End Engineering Service - $7,500.00\r\n\u2022Quality Assurance Manager", "gold_answer": "\u2022Invoice From: Services Vendor Inc.;\n\u2022Invoice To: Alpha Inc.;\n\u2022Total Amount: $22,500.00;\n\u2022Payment Due: within 30 days;\n\u2022Contact: Bia Hermes;\n\u2022Invoice #0001;\u2022Data: 01/01/2022."}
dragon-deci-7b-v0_answer_sheet_1215_2.jsonl ADDED
@@ -0,0 +1,200 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"number": 0, "llm_response": "$22,500.00", "gold_answer": "$22,500.00"}
2
+ {"number": 1, "llm_response": "# 0001", "gold_answer": "#0001"}
3
+ {"number": 2, "llm_response": "\u2022Front End Engineering Service - $5000.00;\r\n\u2022Back End Engineering Service - $7500.00;\r\n\u2022Quality Assurance Manager - $10,000.00;\r\n\u2022Total Amount - $22,500.00.", "gold_answer": "\u2022Front End Engineering Service;\n\u2022Back End Engineering Service;\n\u2022Quality Assurance Manager"}
4
+ {"number": 3, "llm_response": "Bia Hermes", "gold_answer": "Bia Hermes"}
5
+ {"number": 4, "llm_response": "# 1000", "gold_answer": "#1000"}
6
+ {"number": 5, "llm_response": "Within 30 days of the invoice date.", "gold_answer": "within 30 days of 01/01/2022"}
7
+ {"number": 6, "llm_response": "May 3, 2022", "gold_answer": "May 3, 2022"}
8
+ {"number": 7, "llm_response": "$4,150.00", "gold_answer": "4150.00"}
9
+ {"number": 8, "llm_response": "$4,565.00", "gold_answer": "4565.00"}
10
+ {"number": 9, "llm_response": "\u202230 boxes of printer paper;\r\n\u202210 printer cartridges;\r\n\u20225 laser printers.", "gold_answer": "\u202230 Boxes of Printer Paper;\n\u202210 Printer Cartridges;\n\u20225 Laser Printers."}
11
+ {"number": 10, "llm_response": "234", "gold_answer": "234"}
12
+ {"number": 11, "llm_response": "ABC Company and Delta Inc.", "gold_answer": "ABC Company and Delta Inc."}
13
+ {"number": 12, "llm_response": "30", "gold_answer": "30"}
14
+ {"number": 13, "llm_response": "Due on receipt on May 3, 2022", "gold_answer": "Due on Receipt"}
15
+ {"number": 14, "llm_response": "8675 River Run Road, Marlington, CT 09392", "gold_answer": "8675 River Run Road, Marlington, CT 09392"}
16
+ {"number": 15, "llm_response": "March 3, 2022", "gold_answer": "March 3, 2022"}
17
+ {"number": 16, "llm_response": "January 20, 2021", "gold_answer": "January 20, 2021"}
18
+ {"number": 17, "llm_response": "Donald Trump", "gold_answer": "Donald Trump"}
19
+ {"number": 18, "llm_response": "Delaware", "gold_answer": "Delaware"}
20
+ {"number": 19, "llm_response": "Barack Obama", "gold_answer": "Barack Obama"}
21
+ {"number": 20, "llm_response": "1. Vivek Murthy;\r\n2. David A. Kessler;\r\n3. Marcella Nunez-Smith.", "gold_answer": "1. former Surgeon General Vivek Murthy;\n2. former FDA commissioner David A. Kessler;\n3. Yale University's Marcella Nunez-Smith."}
22
+ {"number": 21, "llm_response": "Jon Ossoff and Raphael Warnock", "gold_answer": "Jon Ossoff and Raphael Warnock"}
23
+ {"number": 22, "llm_response": "Two-year term", "gold_answer": "Two-year term"}
24
+ {"number": 23, "llm_response": "26,000", "gold_answer": "26,000"}
25
+ {"number": 24, "llm_response": "November 23, after Michigan certified its results.", "gold_answer": "November 23"}
26
+ {"number": 25, "llm_response": "$52.9 billion", "gold_answer": "$52.9 billion"}
27
+ {"number": 26, "llm_response": "10%", "gold_answer": "Increased 10%, up 15% in constant currency"}
28
+ {"number": 27, "llm_response": "March 31, 2023", "gold_answer": "March 31, 2023"}
29
+ {"number": 28, "llm_response": "Focused execution by sales teams and partners in this dynamic environment.", "gold_answer": "Focused execution by our sales teams and partners"}
30
+ {"number": 29, "llm_response": "$28.5 billion, up 22% year-over-year.", "gold_answer": "$28.5 billion"}
31
+ {"number": 30, "llm_response": "8%", "gold_answer": "10%"}
32
+ {"number": 31, "llm_response": "65.4 million", "gold_answer": "65.4 million"}
33
+ {"number": 32, "llm_response": "$22.1 billion", "gold_answer": "$22.1 billion"}
34
+ {"number": 33, "llm_response": "1956", "gold_answer": "1956"}
35
+ {"number": 34, "llm_response": "The Church-Turing thesis suggests that a machine, by shuffling symbols as simple as \"0\" and \"1\", could simulate both mathematical deduction and formal reasoning.", "gold_answer": "A machine, by shuffling symbols as simple as '0' and '1' can simulate both mathematical deduction and formal reasoning."}
36
+ {"number": 35, "llm_response": "1956", "gold_answer": "1943"}
37
+ {"number": 36, "llm_response": "1956", "gold_answer": "1956"}
38
+ {"number": 37, "llm_response": "A period when obtaining funding for AI projects was difficult.", "gold_answer": "A period when obtaining funding for AI projects is difficult."}
39
+ {"number": 38, "llm_response": "Machines will be capable, within twenty years, of doing any work a man can do.", "gold_answer": "He predicted that machines would be capable of doing any work a man can do within twenty years."}
40
+ {"number": 39, "llm_response": "1987", "gold_answer": "1987."}
41
+ {"number": 40, "llm_response": "TestCo Software, Inc.", "gold_answer": "TestCo Software, Inc."}
42
+ {"number": 41, "llm_response": "Aphrodite Apollo (\"Executive\") and TestCo Software, Inc. (the \"Company\")", "gold_answer": "Aphrodite Apollo ('Executive') and TestCo Software, Inc. ('Company')"}
43
+ {"number": 42, "llm_response": "April 16, 2012", "gold_answer": "April 16, 2012."}
44
+ {"number": 43, "llm_response": "Customer", "gold_answer": "Customer"}
45
+ {"number": 44, "llm_response": "30 days written notice", "gold_answer": "30 days"}
46
+ {"number": 45, "llm_response": "30 days written notice, if not cured within 15 days' notice of such breach.", "gold_answer": "If the breach is not cured within 15 days of notice of the breach."}
47
+ {"number": 46, "llm_response": "Yes, either party may terminate for convenience with 30 days written notice.", "gold_answer": "Yes, by either party with 30 days written notice."}
48
+ {"number": 47, "llm_response": "Senior Vice President, Event Planning (\"SVP\") of the Employer's Workforce Optimization Division.", "gold_answer": "Senior Vice President, Event Planning ('SVP') of the Workforce Optimization Division."}
49
+ {"number": 48, "llm_response": "$200,000 annual rate", "gold_answer": "$200,000"}
50
+ {"number": 49, "llm_response": "Section 2.2", "gold_answer": "Section 2.2"}
51
+ {"number": 50, "llm_response": "Annually", "gold_answer": "Annually"}
52
+ {"number": 51, "llm_response": "State of Massachusetts", "gold_answer": "State of Massachusetts, except for Section 18(a)"}
53
+ {"number": 52, "llm_response": "State of Delaware", "gold_answer": "State of Delaware"}
54
+ {"number": 53, "llm_response": "Section 19", "gold_answer": "Section 19"}
55
+ {"number": 54, "llm_response": "195.12 points, or 0.76%", "gold_answer": "195.12 points"}
56
+ {"number": 55, "llm_response": "438,000", "gold_answer": "438,000 jobs"}
57
+ {"number": 56, "llm_response": "273,000", "gold_answer": "273,000 jobs"}
58
+ {"number": 57, "llm_response": "1.35%", "gold_answer": "Up 1.35%"}
59
+ {"number": 58, "llm_response": "Vibrant Industries Capital Advisors", "gold_answer": "Vibrant Industries Capital Advisors"}
60
+ {"number": 59, "llm_response": "4.58%", "gold_answer": "4.58%"}
61
+ {"number": 60, "llm_response": "$350,000.", "gold_answer": "$350,000"}
62
+ {"number": 61, "llm_response": "$33.", "gold_answer": "$33"}
63
+ {"number": 62, "llm_response": "61 years old.", "gold_answer": "61"}
64
+ {"number": 63, "llm_response": "One Red River Road, Stamford, Connecticut 08234.", "gold_answer": "One Red River Road, Stamford, Connecticut 08234"}
65
+ {"number": 64, "llm_response": "Simmons Corp.", "gold_answer": "Simmons Corp"}
66
+ {"number": 65, "llm_response": "Vice President of Sales", "gold_answer": "Vice President of Sales"}
67
+ {"number": 66, "llm_response": "101% increase in revenue from the previous year.", "gold_answer": "Up 101%"}
68
+ {"number": 67, "llm_response": "$13.51 billion", "gold_answer": "$13.51 billion"}
69
+ {"number": 68, "llm_response": "7.5 million shares", "gold_answer": "7.5 million shares"}
70
+ {"number": 69, "llm_response": "Jensen Huang", "gold_answer": "Jensen Huang"}
71
+ {"number": 70, "llm_response": "141% increase.", "gold_answer": "Up 141% from Q1"}
72
+ {"number": 71, "llm_response": "$2.48", "gold_answer": "$2.48"}
73
+ {"number": 72, "llm_response": "September 28, 2023", "gold_answer": "September 28, 2023"}
74
+ {"number": 73, "llm_response": "148%", "gold_answer": "Up 148%"}
75
+ {"number": 74, "llm_response": "Yes, 71.5% > 70%.", "gold_answer": "Yes, between 71.5% and 72.%"}
76
+ {"number": 75, "llm_response": "$16.00 billion, plus or minus 2%.", "gold_answer": "$16.00 billion, plus or minus 2%."}
77
+ {"number": 76, "llm_response": "The NVIDIA GH200 Grace Hopper Superchip for complex AI and HPC workloads.", "gold_answer": "NVIDIA GH200 Grace Hopper Superchip"}
78
+ {"number": 77, "llm_response": "14.5% plus or minus 1%", "gold_answer": "14.5%, plus or minor 1%"}
79
+ {"number": 78, "llm_response": "$2.00 billion", "gold_answer": "$2.00 billion"}
80
+ {"number": 79, "llm_response": "$2.95 billion", "gold_answer": "$2.95 billion"}
81
+ {"number": 80, "llm_response": "$2.49 billion, up 11% from the previous quarter and up 22% from the prior year.", "gold_answer": "$2.49 billion"}
82
+ {"number": 81, "llm_response": "$379 million, up 28% from the previous quarter, and down 24% from a year ago.", "gold_answer": "$379 million"}
83
+ {"number": 82, "llm_response": "28% increase from the previous quarter.", "gold_answer": "Up 28%"}
84
+ {"number": 83, "llm_response": "Pixar, Adobe, Apple and Autodesk.", "gold_answer": "Pixar, Adobe, Apple, Autodesk and NVIDIA"}
85
+ {"number": 84, "llm_response": "35", "gold_answer": "35"}
86
+ {"number": 85, "llm_response": "$299", "gold_answer": "$299"}
87
+ {"number": 86, "llm_response": "MediaTek", "gold_answer": "MediaTek"}
88
+ {"number": 87, "llm_response": "Refinitiv", "gold_answer": "Refinitiv"}
89
+ {"number": 88, "llm_response": "Jerome Powell", "gold_answer": "Jerome Powell"}
90
+ {"number": 89, "llm_response": "Japan", "gold_answer": "Japan"}
91
+ {"number": 90, "llm_response": "16.3% year-on-year decline, compared to the same period last year.", "gold_answer": "Down 16.3%"}
92
+ {"number": 91, "llm_response": "$416.6 million", "gold_answer": "62.4 billion yen ($416.6 million)"}
93
+ {"number": 92, "llm_response": "$416.6 million", "gold_answer": "Deficit of 42.5 billion yen."}
94
+ {"number": 93, "llm_response": "4.3% year on year", "gold_answer": "Up 4.3%"}
95
+ {"number": 94, "llm_response": "S&P 500's bear market bottom of 3,577.", "gold_answer": "3,577"}
96
+ {"number": 95, "llm_response": "3.2%", "gold_answer": "3.2%"}
97
+ {"number": 96, "llm_response": "Buy", "gold_answer": "Buy"}
98
+ {"number": 97, "llm_response": "Buy rating.", "gold_answer": "Buy"}
99
+ {"number": 98, "llm_response": "$16 per share, down from $17.", "gold_answer": "$16"}
100
+ {"number": 99, "llm_response": "133 million euros, down 69% year-on-year.", "gold_answer": "133 million euros."}
101
+ {"number": 100, "llm_response": "Not Found.", "gold_answer": "Not Found"}
102
+ {"number": 101, "llm_response": "Not Found.", "gold_answer": "Not Found."}
103
+ {"number": 102, "llm_response": "Not Found.", "gold_answer": "Not Found"}
104
+ {"number": 103, "llm_response": "Not Found.", "gold_answer": "Not Found"}
105
+ {"number": 104, "llm_response": "Not Found.", "gold_answer": "Not Found."}
106
+ {"number": 105, "llm_response": "Not Found.", "gold_answer": "Not Found."}
107
+ {"number": 106, "llm_response": "Not Found.", "gold_answer": "Not Found."}
108
+ {"number": 107, "llm_response": "Not Found.", "gold_answer": "Not Found."}
109
+ {"number": 108, "llm_response": "Not Found.", "gold_answer": "Not Found."}
110
+ {"number": 109, "llm_response": "Not Found.", "gold_answer": "Not Found"}
111
+ {"number": 110, "llm_response": "Elon Musk", "gold_answer": "Not Found."}
112
+ {"number": 111, "llm_response": "Not Found.", "gold_answer": "Not Found."}
113
+ {"number": 112, "llm_response": "Not Found.", "gold_answer": "Not Found."}
114
+ {"number": 113, "llm_response": "Not Found.", "gold_answer": "Not Found"}
115
+ {"number": 114, "llm_response": "Not Found.", "gold_answer": "Not Found."}
116
+ {"number": 115, "llm_response": "Not Found.", "gold_answer": "Not Found."}
117
+ {"number": 116, "llm_response": "Not Found.", "gold_answer": "Not Found."}
118
+ {"number": 117, "llm_response": "Not Found.", "gold_answer": "Not Found."}
119
+ {"number": 118, "llm_response": "Not Found.", "gold_answer": "Not Found."}
120
+ {"number": 119, "llm_response": "Not Found.", "gold_answer": "Not Found."}
121
+ {"number": 120, "llm_response": "Yes.", "gold_answer": "Yes, by more than 22%."}
122
+ {"number": 121, "llm_response": "No.", "gold_answer": "No, Chipotle is increasing prices."}
123
+ {"number": 122, "llm_response": "No, Barclay's lowered its price target on KHC to $38.", "gold_answer": "No, it is lowering the target from $38 to $36."}
124
+ {"number": 123, "llm_response": "No, 4.98 billion euros < 5 billion euros.", "gold_answer": "No."}
125
+ {"number": 124, "llm_response": "Yes.", "gold_answer": "Yes."}
126
+ {"number": 125, "llm_response": "No, Dow Jones futures declined 73 points, or 0.2%.", "gold_answer": "No, down 73 points."}
127
+ {"number": 126, "llm_response": "No, the yield on the 10-year is 4.9%.", "gold_answer": "Yes, it topped 4.9%."}
128
+ {"number": 127, "llm_response": "No, the Nasdaq Composite was the underperformer, off 1.6%.", "gold_answer": "No, it was down 1.6%."}
129
+ {"number": 128, "llm_response": "No, revenue was down 15%.", "gold_answer": "No, it was down 15% from the previous quarter."}
130
+ {"number": 129, "llm_response": "Yes, up 15%.", "gold_answer": "Yes, up 15%."}
131
+ {"number": 130, "llm_response": "No, $253 million < $250 million.", "gold_answer": "Yes"}
132
+ {"number": 131, "llm_response": "No.", "gold_answer": "No, it was up 11% quarter-to-quarter and 22% year-to-year."}
133
+ {"number": 132, "llm_response": "Yes, 101% > 50%.", "gold_answer": "Yes, it increased 101% year-to-year."}
134
+ {"number": 133, "llm_response": "Yes, $3.28 billion > $3.00 billion.", "gold_answer": "Yes, $3.38 billion was returned"}
135
+ {"number": 134, "llm_response": "Not Found.", "gold_answer": "No, it decreased by 28%"}
136
+ {"number": 135, "llm_response": "No.", "gold_answer": "No, net sales declined 20% year-on-year, and the company has described the market environment as 'challenging.'"}
137
+ {"number": 136, "llm_response": "Yes.", "gold_answer": "Yes, net sales declined 20% year-on-year."}
138
+ {"number": 137, "llm_response": "No.", "gold_answer": "No, exports to Asia decreased for the last nine months."}
139
+ {"number": 138, "llm_response": "Yes, exports were up 4.3% year on year.", "gold_answer": "Yes, by 4.3% year to year."}
140
+ {"number": 139, "llm_response": "No.", "gold_answer": "No, the base salary is $200,000."}
141
+ {"number": 140, "llm_response": "$253 million + $100 million = $353 million.", "gold_answer": "$353 million"}
142
+ {"number": 141, "llm_response": "$14 + $2 = $16.", "gold_answer": "$16"}
143
+ {"number": 142, "llm_response": "$12 - $3 = $9. The new price is $9.", "gold_answer": "$9"}
144
+ {"number": 143, "llm_response": "January 15, 2019.", "gold_answer": "January 15, 2019"}
145
+ {"number": 144, "llm_response": "37 + 10 = 47. Bryan is now 47 years old.", "gold_answer": "47 years old."}
146
+ {"number": 145, "llm_response": "$425,000 + $25,000 = $450,000.", "gold_answer": "$450,000"}
147
+ {"number": 146, "llm_response": "January 15, 3 days after the invoice was issued on January 12.", "gold_answer": "January 15"}
148
+ {"number": 147, "llm_response": "1,000 X 2 = 2,000.", "gold_answer": "2,000"}
149
+ {"number": 148, "llm_response": "$1200 X 50% = $600. The new rental price will be $1200 + $600 = $1800.", "gold_answer": "$1800"}
150
+ {"number": 149, "llm_response": "$200,000 X 50% = $100,000.", "gold_answer": "$100,000"}
151
+ {"number": 150, "llm_response": "1. Liam - 41 years old;\r\n2. Myra - 23 years old;\r\n3. Ashish - 27 years old;\r\n4. Francois - 29 years old.", "gold_answer": "1. Liam - 41;\n2. Francois - 29;\n3. Ashish - 27;\n4. Myra - 23."}
152
+ {"number": 151, "llm_response": "John is 47 years old, and Elizabeth is 35 years old, so John is older.", "gold_answer": "John"}
153
+ {"number": 152, "llm_response": "Chocolate - $3.25.", "gold_answer": "Chocolate - $3.25"}
154
+ {"number": 153, "llm_response": "Coffee - $5.50.", "gold_answer": "Cheese - $6.25"}
155
+ {"number": 154, "llm_response": "No, chocolate is $3.25 and coffee is $5.50.", "gold_answer": "No, chocolate has a lower price than coffee."}
156
+ {"number": 155, "llm_response": "Nasdaq 100 futures.", "gold_answer": "Nasdaq 100 futures, up 63 points."}
157
+ {"number": 156, "llm_response": "Nasdaq 100 futures, up 0.5%.", "gold_answer": "S&P 500 futures futures, up 1.2%."}
158
+ {"number": 157, "llm_response": "Red Dog LLC - $61.", "gold_answer": "River Industries - $53."}
159
+ {"number": 158, "llm_response": "$19 + $2 = $21.", "gold_answer": "$21"}
160
+ {"number": 159, "llm_response": "PO 1993 - $87,000.", "gold_answer": "PO 1993"}
161
+ {"number": 160, "llm_response": "(C) $17.5 billion.", "gold_answer": "(D) $28.5 billion"}
162
+ {"number": 161, "llm_response": "(B) TestCo Software.", "gold_answer": "(B) TestCo Software."}
163
+ {"number": 162, "llm_response": "(D) $10,000.", "gold_answer": "(D) $10,000."}
164
+ {"number": 163, "llm_response": "(C) 14%.", "gold_answer": "(C) 14%."}
165
+ {"number": 164, "llm_response": "(B) 69%.", "gold_answer": "(B) 69%."}
166
+ {"number": 165, "llm_response": "\u20222019 - $24,578 million;\r\n\u20222020 - $31,536 million;\r\n\u20222021 - $53,823 million;\r\n\u20222022 - $81,462 million.", "gold_answer": "\u20222019 - 24,578;\n\u20222020 - 31,536;\n\u20222021 - 53,823;\n\u20222022 - 81,462."}
167
+ {"number": 166, "llm_response": "$297", "gold_answer": "297."}
168
+ {"number": 167, "llm_response": "$6,496", "gold_answer": "6,496."}
169
+ {"number": 168, "llm_response": "$24,578", "gold_answer": "18,402."}
170
+ {"number": 169, "llm_response": "$13,719", "gold_answer": "13,719"}
171
+ {"number": 170, "llm_response": "\u2022Herbert Simon\r\n\u2022Marvin Minsky\r\n\u2022Papert\r\n\u2022Sir James Lighthill\r\n\u2022Japan's Fifth Generation Computer Project\r\n\u2022U.S. and British governments\r\n\u2022U.S. Congress", "gold_answer": "\u2022Herbert Simon;\n\u2022Marvin Minsky;\n\u2022Sir James Lighthill;\n\u2022Papert."}
172
+ {"number": 171, "llm_response": "\u2022ServiceNow and Accenture,\r\n\u2022VMware,\r\n\u2022Snowflake,\r\n\u2022WPP,\r\n\u2022Softbank, and\r\n\u2022Hugging Face.", "gold_answer": "\u2022Amazon Web Services;\n\u2022Microsoft Azure;\u2022\nRegional Cloud Service Providers;\n\u2022ServiceNow;\n\u2022Accenture;\n\u2022VMWare;\n\u2022Snowflake;\n\u2022WPP;\n\u2022Softbank;\n\u2022Hugging Face."}
173
+ {"number": 172, "llm_response": "\u2022Tesla,\r\n\u2022Netflix,\r\n\u2022Fifth Third,\r\n\u2022KeyCorp,\r\n\u2022Union Pacific,\r\n\u2022CSX, and\r\n\u2022American Airlines.", "gold_answer": "\u2022Tesla;\n;\u2022Netflix;\n\u2022KeyCorp;\n\u2022Fifth Third;\n\u2022Truist Financial;\n\u2022American Airlines;\n\u2022Union Pacific;\n\u2022CSX."}
174
+ {"number": 173, "llm_response": "U.S., Britain, Japan.", "gold_answer": "1. U.S;\n2. UK;\n3. Japan."}
175
+ {"number": 174, "llm_response": "1. The softer wage number in the jobs report may have made investors rethink their earlier bearish stance;\r\n2. The pullback in yields from the day's highs;\r\n3. The market had gotten extremely oversold, with the S&P 500 down more than 9% from its high earlier this year.", "gold_answer": "Traders were unclear of the reason, but some noted it could be the softer wage numberin the jobs report."}
176
+ {"number": 175, "llm_response": "Nokia said that it will reduce its cost base and increase operation efficiency to \"address the challenging market environment.\"", "gold_answer": "Cost cutting plan"}
177
+ {"number": 176, "llm_response": "Tesla stock declined 4% after the company missed expectations on earnings and revenue in the third quarter. CEO Elon Musk also warned that the Cybertruck will not produce much positive cash flow more than a year after production starts.", "gold_answer": "The company missed expectations on earnings and revenue,and Elon Musk warned that the Cybertruck will not producepositive cash flow for more than a year."}
178
+ {"number": 177, "llm_response": "\u2022On January 5, 2021, the Democratic Party won control of the United States Senate, effective January 20, as a result of electoral victories in Georgia by Jon Ossoff in a runoff election for a six-year term and Raphael Warnock in a special runoff election for a two-year term;\r\n\u2022President-elect Biden had supported and campaigned for both candidates prior to the runoff elections on January 5", "gold_answer": "The electoral victories in Georgia by Jon Ossoff and Raphael Warnock."}
179
+ {"number": 178, "llm_response": "North Industries", "gold_answer": "North Industries"}
180
+ {"number": 179, "llm_response": "Blue Moon Tech.", "gold_answer": "Blue Moon Tech."}
181
+ {"number": 180, "llm_response": "Revenue: $16.00 billion, plus or minus 2%\r\nGAAP and non-GAAP gross margins: 71.5% and 72.5%, plus or minus 50 basis points\r\nGAAP and non-GAAP operating expenses: $2.95 billion and $2.00 billion, respectively\r\nGAAP and non-GAAP other income and expense: $10", "gold_answer": "\u2022Revenue: $16.00 billion, plus or minus 2%;\n\u2022Gross Margins: 71.5%-72.%, plus or minor 50 basis points;\n\u2022GAAP operating expenses: $2.95 billion;\n\u2022Non - GAAP operating expense: $2.00 billion."}
182
+ {"number": 181, "llm_response": "\u2022Second-quarter revenue was a record $10.32 billion;\r\n\u2022Second-quarter revenue was up 141% from the previous quarter;\r\n\u2022Second-quarter revenue was up 171% from the same quarter a year ago;\r\n\u2022Announced that the NVIDIA GH200 Grace Hopper Superchip for complex AI and HPC workloads is shipping this quarter;\r\n\u2022Announced that a second-generation version", "gold_answer": "\u2022Second-quarter revenue: record $10.32 billion;\n\u2022Up 141% from previous quarter;\nUp 171% from previousyear"}
183
+ {"number": 182, "llm_response": "1. Record revenue of $13.51 billion, up 88% from Q1, up 101% from year ago;\r\n2. Record Data Center revenue of $10.32 billion, up 141% from Q1, up 171% from year ago;\r\n3. Non-GAAP EPS of $2.70, up 148% from Q1.", "gold_answer": "1. Record revenue of $13.51 billion;\n2. Record Data Center revenue of $10.32 billion;\n3. GAAP earnings per diluted share of $2.48."}
184
+ {"number": 183, "llm_response": "\u2022Joe Biden is the 46th president of the United States;\r\n\u2022He was inaugurated on January 20, 2021;\r\n\u2022He is a Democrat from Delaware;\r\n\u2022He previously served as vice president under Barack Obama;\r\n\u2022He won the 2020 presidential election over Donald Trump;\r\n\u2022He is the oldest president in American history.", "gold_answer": "\u2022Joe Biden was inaugurated on January 20, 2021;\n\u2022Biden is the 46th President of the United States;\n\u2022Biden previously served as Vice President under Barack Obama;\n\u2022Biden won the 2020 presidential election over incumbent Donald Trump;\n\u2022Biden is the oldest president in American history."}
185
+ {"number": 184, "llm_response": "1. On November 23, 2020, General Services Administration head Emily W. Murphy refused to begin the transition to the president-elect, denying funds and office space to his team.\r\n2. On January 5, 2021, the Democratic Party won control of the United States Senate, effective January 20, as a result of electoral victories in Georgia.\r\n3. On January 6, 2021", "gold_answer": "1. General Services Administration head Emily W. Murphy initially refused to begin the transition for president-elect Biden until Michigan certified its results on November 23;\n2. Two days after becoming the projected winner, Biden announced the formation of a task forceto advise on the COVID-19 pandemic;\n3. On January 5, 2021, the Democratic Party won control of the U.S. Senate, with the electoralvictories in Georgia by Jon Ossoff and Raphael Warnock;\n4. On January 6, 2021, a mob of Trump supporters stormed the Capitol, forcing Congress to evacuateduring the counting of the Electoral Votes;\n5. For the inauguration, more than 26,000 National Guard members were deployed."}
186
+ {"number": 185, "llm_response": "\u2022Record revenue of $13.51 billion, up 88% from Q1, up 101% from year ago;\r\n\u2022Record Data Center revenue of $10.32 billion, up 141% from Q1, up 171% from year ago;\r\n\u2022GAAP earnings per diluted share of $2.48, up 854% from a year ago and up 202% from", "gold_answer": "\u2022Revenue: $52.9 million, up 10% in constant currency;\n\u2022Operating income: $22.4 billion, up 15% in constant currency;\n\u2022Net income: $18.3 billion, up 14% in constant currency;\n\u2022Diluted earnings per share: $2.45 billion, up 14% in constant currency."}
187
+ {"number": 186, "llm_response": "1. The study of mechanical or 'formal' reasoning began with philosophers and mathematicians in antiquity.\r\n2. The study of logic led directly to Alan Turing's theory of computation, which suggested that a machine could simulate both mathematical deduction and formal reasoning.\r\n3. The field of AI research was founded at a workshop at Dartmouth College in 1956.", "gold_answer": "1. The study of formal reasoning began in antiquity;\n2. These studies led directly to Alan Turing's theory of computation, which led researchers to consider the possibility of building an 'electronic brain';\n3. The first paper that recognized AI was published in 1943, and the field was founded in 1956."}
188
+ {"number": 187, "llm_response": "\u2022The attendees became the leaders of AI research in the 1960s, and produced programs that the press described as \"astonishing\"\r\n\u2022By the mid-1960s, research was heavily funded by the Department of Defense, and laboratories had been established around the world.\r\n\u2022Herbert Simon predicted that machines would be capable of doing any work a man can do in 20 years.\r\n\u2022Marvin Minsky agreed, writing that", "gold_answer": "\u2022In the 1960s, AI researchers produced 'astonishing' programs that could learn checkers, word problems,prove logical theorems and speak English;\n\u2022AI research at the time was funded heavily by the U.S. Department of Defense;\n\u2022Herbert Simon predicted that machines would be capable in 20 years of doing human work;\n\u2022Marvin Minskey predicted that AI would be substantially solved within a generation;\n\u2022Due to these under-estimations of the difficulty of the problem, reduced government funding, and concerns about the real-world use of neural networks, the 'AI winter' followed;\n\u2022AI research was revived in the 1980s with expert systems, and the market for AI reached over $1 billion in 1985;\nHowever, with the collapse of the Lisp machine market in 1987, AI fell in disrepute again, and another AI winter ensued."}
189
+ {"number": 188, "llm_response": "\u2022Wednesday - $27;\r\n\u2022Thursday - $33;\r\n\u2022Friday - $36.", "gold_answer": "\u2022Wednesday - $27;\n\u2022Thursday - $33;\n\u2022Friday - $36."}
190
+ {"number": 189, "llm_response": "Joe Biden, 46th President, inaugurated on January 20, 2021, after winning 2020 election.", "gold_answer": "Joe Biden is the 46th President of the United States."}
191
+ {"number": 190, "llm_response": "On January 6, 2021, a mob of Trump supporters violently stormed the Capitol in an attempt to overturn the election, forcing Congress to evacuate.", "gold_answer": "After Biden won the election, he formed a pandemic task force, the democrats won the Senate, and a mob stormed the Capital on January 6."}
192
+ {"number": 191, "llm_response": "Not Found.", "gold_answer": "\u2022Office Commercial Products;\n\u2022Office Consumer Products;\n\u2022Microsoft 365 Consumer;\n\u2022LinkedIn;\n\u2022Dynamics Products;\n\u2022Server Products;\n\u2022More Personal Computing;\n\u2022Windows OEM;\n\u2022Devices;\n\u2022Windows Commercial;\n\u2022Xbox;\n\u2022Search and News Advertising."}
193
+ {"number": 192, "llm_response": "\u2022Invoice Date: March 3, 2022\r\n\u2022Invoice No: 234\r\n\u2022ABC Company 8675 River Run Road Marlington, CT 09392\r\n\u2022Invoice To: Delta Inc.\r\n8723 Wilton Boulevard, Los Angeles, CA\r\n\u2022Payment Terms DUE DATE: May 3, 2022\r\n\u2022Quantity Description", "gold_answer": "\u2022Invoice Date: March 3, 2022;\\\u2022Invoice Number: No 234;\n\u2022From: ABC Company;\n\u2022To: Delta Inc.;\n\u2022Due Date: Due on Receipt;\n\u2022Total: $4565.00."}
194
+ {"number": 193, "llm_response": "Microsoft announced that its cloud revenue was up 22% year-over-year, to $28.5 billion, and that the world's most advanced AI models are coming together with the world's most universal user interface - natural language - to create a new era of computing.", "gold_answer": "According to Microsoft's CEO and CFO, the Microsoft Cloud is the platform for choice for AI,and growing 22% year-over-year as a result of focused execution."}
195
+ {"number": 194, "llm_response": "\u2022Vivek Murthy,\r\n\u2022David A. Kessler,\r\n\u2022Marcella Nunez-Smith,\r\n\u2022Jon Ossoff,\r\n\u2022Raphael Warnock,\r\n\u2022Emily W. Murphy, and\r\n\u2022General Services Administration.", "gold_answer": "\u2022Biden;\n\u2022Emily W. Murphy;\n\u2022Vivek Murthy;\n\u2022David A. Kessler;\n\u2022Marcella Nunez-Smith;\n\u2022Jon Ossoff;\n\u2022Raphael Warnock."}
196
+ {"number": 195, "llm_response": "Nokia is cutting up to 14,000 jobs and reducing costs in the face of a challenging market environment. Nokia reported a 20% decline in net sales and a 69% decline in profit.", "gold_answer": "Nokia is cutting 14,000 jobs as part of a cost reductionplan after reporting profits that declined 69% year-on-year."}
197
+ {"number": 196, "llm_response": "\u2022Senior Vice President, Event Planning (\"SVP\") of the Employer's Workforce Optimization Division;\r\n\u2022Reporting to the Board of Directors;\r\n\u2022Devoting substantially all of his business time and attention;\r\n\u2022Responsible for running day-to-day operations;\r\n\u2022Responsible for performing faithfully, diligently and competently the duties and responsibilities of a SVP.", "gold_answer": "\u2022Senior Vice President, Event Planning ('SVP') of Workforce Optimization Division;\n\u2022Report to Board of Directors;\n\u2022Devote substantially all of business time and attention to the operations of the Employer;\n\u2022responsible for running Employer's day-to-day operations;\n\u2022Perform faithfully, diligently and competently the duties and responsibilities of a SVP."}
198
+ {"number": 197, "llm_response": "Nvidia Announces Financial Results for Second Quarter Fiscal 2024\r\n\r\n\u2022Record revenue of $13.51 billion, up 88% from Q1, up 101% from year ago\r\n\r\n\u2022Record Data Center revenue of $10.32 billion, up 141% from Q1, up 171% from year ago", "gold_answer": "NVIDIA Announces Second Quarter Fiscal 2024 Results with record revenue of $13.51 billion."}
199
+ {"number": 198, "llm_response": "Microsoft CEO Satya Nadella: \"The world's most advanced AI models are coming together with the world's most universal user interface - natural language - to create a new era of computing.\"", "gold_answer": "Microsoft Cloud is the platform of choice for the next generation of AI."}
200
+ {"number": 199, "llm_response": "\u2022Services Vendor Inc. 100 Elm Street, Pleasantville, NY 5900 1st Street, Los Angeles, CA \r\n\u2022Description - Front End Engineering Service - $5000.00\r\n\u2022Back End Engineering Service - $7500.00\r\n\u2022Quality Assurance Manager - $10,000.00\r\n\u2022Total Amount - $22,500", "gold_answer": "\u2022Invoice From: Services Vendor Inc.;\n\u2022Invoice To: Alpha Inc.;\n\u2022Total Amount: $22,500.00;\n\u2022Payment Due: within 30 days;\n\u2022Contact: Bia Hermes;\n\u2022Invoice #0001;\u2022Data: 01/01/2022."}
dragon-deci-7b-v0_core_test_1215_1.jsonl ADDED
@@ -0,0 +1,200 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"number": 0, "llm_response": "$22,500.00", "gold_answer": "$22,500.00", "prompt": "What is the total amount of the invoice?", "usage": {"input": 203, "metric": "tokens", "output": 11, "processing_time": 0.9314219951629639, "total": 214}, "category": "core"}
2
+ {"number": 1, "llm_response": "#0001", "gold_answer": "#0001", "prompt": "What is the invoice number?", "usage": {"input": 200, "metric": "tokens", "output": 6, "processing_time": 0.17609524726867676, "total": 206}, "category": "core"}
3
+ {"number": 2, "llm_response": "\u2022Front End Engineering Service - $5000.00;\r\n\u2022Back End Engineering Service - $7500.00;\r\n\u2022Quality Assurance Manager - $10,000.00;\r\n\u2022Total Amount - $22,500.00.", "gold_answer": "\u2022Front End Engineering Service;\n\u2022Back End Engineering Service;\n\u2022Quality Assurance Manager", "prompt": "What is a list of the items being purchased?", "usage": {"input": 203, "metric": "tokens", "output": 68, "processing_time": 1.7559516429901123, "total": 271}, "category": "core"}
4
+ {"number": 3, "llm_response": "Bia Hermes", "gold_answer": "Bia Hermes", "prompt": "What is the name of the contact for question?", "usage": {"input": 203, "metric": "tokens", "output": 5, "processing_time": 0.15108418464660645, "total": 208}, "category": "core"}
5
+ {"number": 4, "llm_response": "# 1000", "gold_answer": "#1000", "prompt": "What is the PO number?", "usage": {"input": 199, "metric": "tokens", "output": 7, "processing_time": 0.20405340194702148, "total": 206}, "category": "core"}
6
+ {"number": 5, "llm_response": "Within 30 days.", "gold_answer": "within 30 days of 01/01/2022", "prompt": "When is payment due?", "usage": {"input": 198, "metric": "tokens", "output": 8, "processing_time": 0.2252969741821289, "total": 206}, "category": "core"}
7
+ {"number": 6, "llm_response": "May 3, 2022", "gold_answer": "May 3, 2022", "prompt": "When is payment due?", "usage": {"input": 218, "metric": "tokens", "output": 10, "processing_time": 0.27802252769470215, "total": 228}, "category": "core"}
8
+ {"number": 7, "llm_response": "$4,150.00", "gold_answer": "4150.00", "prompt": "What is the subtotal amount?", "usage": {"input": 220, "metric": "tokens", "output": 10, "processing_time": 0.2825167179107666, "total": 230}, "category": "core"}
9
+ {"number": 8, "llm_response": "$4,565.00", "gold_answer": "4565.00", "prompt": "What is the total amount?", "usage": {"input": 219, "metric": "tokens", "output": 10, "processing_time": 0.2797417640686035, "total": 229}, "category": "core"}
10
+ {"number": 9, "llm_response": "\u202230 boxes of printer paper;\r\n\u202210 printer cartridges;\r\n\u20225 laser printers.", "gold_answer": "\u202230 Boxes of Printer Paper;\n\u202210 Printer Cartridges;\n\u20225 Laser Printers.", "prompt": "What is a list of the purchased items?", "usage": {"input": 222, "metric": "tokens", "output": 25, "processing_time": 0.6602606773376465, "total": 247}, "category": "core"}
11
+ {"number": 10, "llm_response": "No. 234", "gold_answer": "234", "prompt": "What is the invoice number?", "usage": {"input": 220, "metric": "tokens", "output": 7, "processing_time": 0.20357394218444824, "total": 227}, "category": "core"}
12
+ {"number": 11, "llm_response": "ABC Company and Delta Inc.", "gold_answer": "ABC Company and Delta Inc.", "prompt": "What is the name of the two companies?", "usage": {"input": 222, "metric": "tokens", "output": 8, "processing_time": 0.2283792495727539, "total": 230}, "category": "core"}
13
+ {"number": 12, "llm_response": "30", "gold_answer": "30", "prompt": "How many boxes of paper are being purchased?", "usage": {"input": 222, "metric": "tokens", "output": 3, "processing_time": 0.10217666625976562, "total": 225}, "category": "core"}
14
+ {"number": 13, "llm_response": "Due on receipt on May 3, 2022.", "gold_answer": "Due on Receipt", "prompt": "What are the payment terms?", "usage": {"input": 219, "metric": "tokens", "output": 17, "processing_time": 0.45769596099853516, "total": 236}, "category": "core"}
15
+ {"number": 14, "llm_response": "8675 River Run Road, Marlington, CT 09392", "gold_answer": "8675 River Run Road, Marlington, CT 09392", "prompt": "What is the address of ABC Company?", "usage": {"input": 221, "metric": "tokens", "output": 19, "processing_time": 0.5068404674530029, "total": 240}, "category": "core"}
16
+ {"number": 15, "llm_response": "March 3, 2022", "gold_answer": "March 3, 2022", "prompt": "What is the date of the invoice?", "usage": {"input": 222, "metric": "tokens", "output": 11, "processing_time": 0.30509519577026367, "total": 233}, "category": "core"}
17
+ {"number": 16, "llm_response": "January 20, 2021", "gold_answer": "January 20, 2021", "prompt": "When was Biden inaugurated?", "usage": {"input": 104, "metric": "tokens", "output": 12, "processing_time": 0.31157684326171875, "total": 116}, "category": "core"}
18
+ {"number": 17, "llm_response": "Donald Trump", "gold_answer": "Donald Trump", "prompt": "Who was Biden's opponent in the 2020 presidential election?", "usage": {"input": 114, "metric": "tokens", "output": 3, "processing_time": 0.08281803131103516, "total": 117}, "category": "core"}
19
+ {"number": 18, "llm_response": "Delaware", "gold_answer": "Delaware", "prompt": "What state is Biden from?", "usage": {"input": 104, "metric": "tokens", "output": 3, "processing_time": 0.08229446411132812, "total": 107}, "category": "core"}
20
+ {"number": 19, "llm_response": "Barack Obama", "gold_answer": "Barack Obama", "prompt": "Who was President when Biden was Vice President?", "usage": {"input": 107, "metric": "tokens", "output": 4, "processing_time": 0.10743093490600586, "total": 111}, "category": "core"}
21
+ {"number": 20, "llm_response": "1. Vivek Murthy, former Surgeon General;\r\n2. David A. Kessler, former FDA commissioner;\r\n3. Marcella Nunez-Smith, Yale University.", "gold_answer": "1. former Surgeon General Vivek Murthy;\n2. former FDA commissioner David A. Kessler;\n3. Yale University's Marcella Nunez-Smith.", "prompt": "What is a list of the three people that served as co-chairs of the COVID task force?", "usage": {"input": 362, "metric": "tokens", "output": 48, "processing_time": 1.280632734298706, "total": 410}, "category": "core"}
22
+ {"number": 21, "llm_response": "Jon Ossoff and Raphael Warnock", "gold_answer": "Jon Ossoff and Raphael Warnock", "prompt": "Who are the two people that won elections in Georgia?", "usage": {"input": 352, "metric": "tokens", "output": 13, "processing_time": 0.38155221939086914, "total": 365}, "category": "core"}
23
+ {"number": 22, "llm_response": "Two-year term", "gold_answer": "Two-year term", "prompt": "What is the length of Raphael Warnock's term?", "usage": {"input": 356, "metric": "tokens", "output": 5, "processing_time": 0.17749762535095215, "total": 361}, "category": "core"}
24
+ {"number": 23, "llm_response": "26,000", "gold_answer": "26,000", "prompt": "How many national guard members were deployed on January 6?", "usage": {"input": 353, "metric": "tokens", "output": 7, "processing_time": 0.22806620597839355, "total": 360}, "category": "core"}
25
+ {"number": 24, "llm_response": "November 23, 2020", "gold_answer": "November 23", "prompt": "When was the letter of ascertainment issued?", "usage": {"input": 351, "metric": "tokens", "output": 12, "processing_time": 0.3552842140197754, "total": 363}, "category": "core"}
26
+ {"number": 25, "llm_response": "$52.9 billion", "gold_answer": "$52.9 billion", "prompt": "What was Microsoft's revenue in the 3rd quarter?", "usage": {"input": 201, "metric": "tokens", "output": 7, "processing_time": 0.2006239891052246, "total": 208}, "category": "core"}
27
+ {"number": 26, "llm_response": "10%", "gold_answer": "Increased 10%, up 15% in constant currency", "prompt": "What was the improvement in operating income year-to-year?", "usage": {"input": 201, "metric": "tokens", "output": 4, "processing_time": 0.12446999549865723, "total": 205}, "category": "core"}
28
+ {"number": 27, "llm_response": "March 31, 2023", "gold_answer": "March 31, 2023", "prompt": "When did the quarter end?", "usage": {"input": 194, "metric": "tokens", "output": 12, "processing_time": 0.3272397518157959, "total": 206}, "category": "core"}
29
+ {"number": 28, "llm_response": "Focused execution by the sales team and partners in a dynamic environment.", "gold_answer": "Focused execution by our sales teams and partners", "prompt": "According to the CFO, what led to the increase in cloud revenue?", "usage": {"input": 171, "metric": "tokens", "output": 15, "processing_time": 0.3918337821960449, "total": 186}, "category": "core"}
30
+ {"number": 29, "llm_response": "$28.5 billion, up 22% year-over-year.", "gold_answer": "$28.5 billion", "prompt": "What was the amount of Cloud revenue in the quarter?", "usage": {"input": 166, "metric": "tokens", "output": 19, "processing_time": 0.49677038192749023, "total": 185}, "category": "core"}
31
+ {"number": 30, "llm_response": "8%", "gold_answer": "10%", "prompt": "What was LinkedIn revenue growth in constant currency?", "usage": {"input": 448, "metric": "tokens", "output": 3, "processing_time": 0.13927602767944336, "total": 451}, "category": "core"}
32
+ {"number": 31, "llm_response": "65.4 million", "gold_answer": "65.4 million", "prompt": "What is the number of Microsoft 365 consumer subscribers?", "usage": {"input": 453, "metric": "tokens", "output": 6, "processing_time": 0.21811437606811523, "total": 459}, "category": "core"}
33
+ {"number": 32, "llm_response": "$22.1 billion, which is up 16%.", "gold_answer": "$22.1 billion", "prompt": "What was the amount of total revenue in Intelligent Cloud?", "usage": {"input": 451, "metric": "tokens", "output": 15, "processing_time": 0.4508669376373291, "total": 466}, "category": "core"}
34
+ {"number": 33, "llm_response": "1956", "gold_answer": "1956", "prompt": "When was the field of AI founded?", "usage": {"input": 190, "metric": "tokens", "output": 5, "processing_time": 0.14329195022583008, "total": 195}, "category": "core"}
35
+ {"number": 34, "llm_response": "It suggests that a machine can simulate both mathematical deduction and formal reasoning.", "gold_answer": "A machine, by shuffling symbols as simple as '0' and '1' can simulate both mathematical deduction and formal reasoning.", "prompt": "What is the Church-Turing thesis?", "usage": {"input": 191, "metric": "tokens", "output": 17, "processing_time": 0.44667840003967285, "total": 208}, "category": "core"}
36
+ {"number": 35, "llm_response": "1956", "gold_answer": "1943", "prompt": "When was the first paper on AI published?", "usage": {"input": 191, "metric": "tokens", "output": 5, "processing_time": 0.14341402053833008, "total": 196}, "category": "core"}
37
+ {"number": 36, "llm_response": "1956", "gold_answer": "1956", "prompt": "When was the workshop at Dartmouth?", "usage": {"input": 191, "metric": "tokens", "output": 5, "processing_time": 0.1437532901763916, "total": 196}, "category": "core"}
38
+ {"number": 37, "llm_response": "A period when obtaining funding for AI projects was difficult.", "gold_answer": "A period when obtaining funding for AI projects is difficult.", "prompt": "What is an AI winter?", "usage": {"input": 411, "metric": "tokens", "output": 12, "processing_time": 0.3696103096008301, "total": 423}, "category": "core"}
39
+ {"number": 38, "llm_response": "Machines will be capable, within twenty years, of doing any work a man can do.", "gold_answer": "He predicted that machines would be capable of doing any work a man can do within twenty years.", "prompt": "What did Herbert Simon predict?", "usage": {"input": 411, "metric": "tokens", "output": 21, "processing_time": 0.6026268005371094, "total": 432}, "category": "core"}
40
+ {"number": 39, "llm_response": "1987", "gold_answer": "1987.", "prompt": "When did the LISP machine market collapse?", "usage": {"input": 415, "metric": "tokens", "output": 5, "processing_time": 0.19085454940795898, "total": 420}, "category": "core"}
41
+ {"number": 40, "llm_response": "TestCo Software, Inc.", "gold_answer": "TestCo Software, Inc.", "prompt": "What is the name of the Company?", "usage": {"input": 178, "metric": "tokens", "output": 7, "processing_time": 0.19115900993347168, "total": 185}, "category": "core"}
42
+ {"number": 41, "llm_response": "Aphrodite Apollo (\"Executive\") and TestCo Software, Inc. (the \"Company\")", "gold_answer": "Aphrodite Apollo ('Executive') and TestCo Software, Inc. ('Company')", "prompt": "What are the names of the two parties?", "usage": {"input": 179, "metric": "tokens", "output": 24, "processing_time": 0.6195125579833984, "total": 203}, "category": "core"}
43
+ {"number": 42, "llm_response": "April 16, 2012", "gold_answer": "April 16, 2012.", "prompt": "When will employment start?", "usage": {"input": 175, "metric": "tokens", "output": 12, "processing_time": 0.31649065017700195, "total": 187}, "category": "core"}
44
+ {"number": 43, "llm_response": "Customer", "gold_answer": "Customer", "prompt": "Who owns the intellectual property?", "usage": {"input": 164, "metric": "tokens", "output": 2, "processing_time": 0.0635385513305664, "total": 166}, "category": "core"}
45
+ {"number": 44, "llm_response": "30 days written notice", "gold_answer": "30 days", "prompt": "What is the notice period to terminate for convenience?", "usage": {"input": 151, "metric": "tokens", "output": 6, "processing_time": 0.16530442237854004, "total": 157}, "category": "core"}
46
+ {"number": 45, "llm_response": "30 days written notice, and if the other party is in material breach and not cured within 15 days of notice of such breach.", "gold_answer": "If the breach is not cured within 15 days of notice of the breach.", "prompt": "When can termination after a material breach occur?", "usage": {"input": 151, "metric": "tokens", "output": 33, "processing_time": 0.8470568656921387, "total": 184}, "category": "core"}
47
+ {"number": 46, "llm_response": "Yes, either party may terminate for convenience by giving 30 days written notice, or for material breach if not cured within 15 days' notice.", "gold_answer": "Yes, by either party with 30 days written notice.", "prompt": "Can the agreement be terminated?", "usage": {"input": 147, "metric": "tokens", "output": 36, "processing_time": 0.9256508350372314, "total": 183}, "category": "core"}
48
+ {"number": 47, "llm_response": "SVP of the Workforce Optimization Division", "gold_answer": "Senior Vice President, Event Planning ('SVP') of the Workforce Optimization Division.", "prompt": "What is the executive's role?", "usage": {"input": 380, "metric": "tokens", "output": 10, "processing_time": 0.30686044692993164, "total": 390}, "category": "core"}
49
+ {"number": 48, "llm_response": "$200,000 annual rate", "gold_answer": "$200,000", "prompt": "What is the executive's base salary?", "usage": {"input": 190, "metric": "tokens", "output": 11, "processing_time": 0.29659557342529297, "total": 201}, "category": "core"}
50
+ {"number": 49, "llm_response": "Section 2.2", "gold_answer": "Section 2.2", "prompt": "What section defines the base salary?", "usage": {"input": 188, "metric": "tokens", "output": 6, "processing_time": 0.16907072067260742, "total": 194}, "category": "core"}
51
+ {"number": 50, "llm_response": "Annually", "gold_answer": "Annually", "prompt": "How often will the Board review the salary?", "usage": {"input": 190, "metric": "tokens", "output": 3, "processing_time": 0.09132814407348633, "total": 193}, "category": "core"}
52
+ {"number": 51, "llm_response": "State of Massachusetts", "gold_answer": "State of Massachusetts, except for Section 18(a)", "prompt": "What is the governing law?", "usage": {"input": 320, "metric": "tokens", "output": 4, "processing_time": 0.14815306663513184, "total": 324}, "category": "core"}
53
+ {"number": 52, "llm_response": "State of Delaware", "gold_answer": "State of Delaware", "prompt": "What law governs section 18(a)?", "usage": {"input": 325, "metric": "tokens", "output": 5, "processing_time": 0.17605304718017578, "total": 330}, "category": "core"}
54
+ {"number": 53, "llm_response": "Section 19", "gold_answer": "Section 19", "prompt": "What section of the agreement defines the governing law?", "usage": {"input": 324, "metric": "tokens", "output": 5, "processing_time": 0.17866849899291992, "total": 329}, "category": "core"}
55
+ {"number": 54, "llm_response": "195.12 points, or 0.76%", "gold_answer": "195.12 points", "prompt": "What was the gain on the DOW on Friday?", "usage": {"input": 528, "metric": "tokens", "output": 16, "processing_time": 0.4998602867126465, "total": 544}, "category": "core"}
56
+ {"number": 55, "llm_response": "438,000", "gold_answer": "438,000 jobs", "prompt": "How many new jobs were added in August?", "usage": {"input": 526, "metric": "tokens", "output": 8, "processing_time": 0.2896745204925537, "total": 534}, "category": "core"}
57
+ {"number": 56, "llm_response": "273,000 jobs.", "gold_answer": "273,000 jobs", "prompt": "How many jobs were predicted by economists?", "usage": {"input": 526, "metric": "tokens", "output": 10, "processing_time": 0.3414173126220703, "total": 536}, "category": "core"}
58
+ {"number": 57, "llm_response": "1.35%", "gold_answer": "Up 1.35%", "prompt": "What was the percentage in increase in the Nasdaq at closing?", "usage": {"input": 531, "metric": "tokens", "output": 6, "processing_time": 0.2394416332244873, "total": 537}, "category": "core"}
59
+ {"number": 58, "llm_response": "Vibrant Industries Capital Advisors", "gold_answer": "Vibrant Industries Capital Advisors", "prompt": "Where does Margaret Jones work?", "usage": {"input": 523, "metric": "tokens", "output": 9, "processing_time": 0.31633853912353516, "total": 532}, "category": "core"}
60
+ {"number": 59, "llm_response": "4.58%", "gold_answer": "4.58%", "prompt": "What is the current rate on 10-year treasuries?", "usage": {"input": 532, "metric": "tokens", "output": 6, "processing_time": 0.23845338821411133, "total": 538}, "category": "core"}
61
+ {"number": 60, "llm_response": "$350,000.", "gold_answer": "$350,000", "prompt": "What is the CEO's salary?", "usage": {"input": 49, "metric": "tokens", "output": 10, "processing_time": 0.2604560852050781, "total": 59}, "category": "core"}
62
+ {"number": 61, "llm_response": "$33.", "gold_answer": "$33", "prompt": "What is the stock price on Thursday?", "usage": {"input": 58, "metric": "tokens", "output": 5, "processing_time": 0.13281798362731934, "total": 63}, "category": "core"}
63
+ {"number": 62, "llm_response": "61 years old.", "gold_answer": "61", "prompt": "What is Bob's age?", "usage": {"input": 42, "metric": "tokens", "output": 6, "processing_time": 0.15607047080993652, "total": 48}, "category": "core"}
64
+ {"number": 63, "llm_response": "One Red River Road, Stamford, Connecticut 08234.", "gold_answer": "One Red River Road, Stamford, Connecticut 08234", "prompt": "What is the address of Red River Industries?", "usage": {"input": 128, "metric": "tokens", "output": 18, "processing_time": 0.464127779006958, "total": 146}, "category": "core"}
65
+ {"number": 64, "llm_response": "Simmons Corp.", "gold_answer": "Simmons Corp", "prompt": "At which company did Brian serve as head of Northeast Sales?", "usage": {"input": 75, "metric": "tokens", "output": 6, "processing_time": 0.15770912170410156, "total": 81}, "category": "core"}
66
+ {"number": 65, "llm_response": "Vice President of Sales", "gold_answer": "Vice President of Sales", "prompt": "What is Mr. Williams role at Washtec Industries?", "usage": {"input": 75, "metric": "tokens", "output": 6, "processing_time": 0.15807890892028809, "total": 81}, "category": "core"}
67
+ {"number": 66, "llm_response": "101% increase from the previous year.", "gold_answer": "Up 101%", "prompt": "What was the increase in revenue from the previous year?", "usage": {"input": 565, "metric": "tokens", "output": 11, "processing_time": 0.37180447578430176, "total": 576}, "category": "core"}
68
+ {"number": 67, "llm_response": "$13.51 billion", "gold_answer": "$13.51 billion", "prompt": "What was the revenue in second quarter?", "usage": {"input": 562, "metric": "tokens", "output": 8, "processing_time": 0.2922706604003906, "total": 570}, "category": "core"}
69
+ {"number": 68, "llm_response": "7.5 million shares", "gold_answer": "7.5 million shares", "prompt": "How many shares were repurchased in second quarter?", "usage": {"input": 565, "metric": "tokens", "output": 6, "processing_time": 0.2421891689300537, "total": 571}, "category": "core"}
70
+ {"number": 69, "llm_response": "Jensen Huang", "gold_answer": "Jensen Huang", "prompt": "Who is the CEO of Nvidia?", "usage": {"input": 563, "metric": "tokens", "output": 5, "processing_time": 0.22063207626342773, "total": 568}, "category": "core"}
71
+ {"number": 70, "llm_response": "141%", "gold_answer": "Up 141% from Q1", "prompt": "What was the percentage increase in data center revenue compared to the first quarter?", "usage": {"input": 569, "metric": "tokens", "output": 5, "processing_time": 0.21747303009033203, "total": 574}, "category": "core"}
72
+ {"number": 71, "llm_response": "$2.48, up 854% from a year ago and up 202% from the previous quarter.", "gold_answer": "$2.48", "prompt": "What is GAAP earnings per share for the quarter?", "usage": {"input": 565, "metric": "tokens", "output": 29, "processing_time": 0.842155933380127, "total": 594}, "category": "core"}
73
+ {"number": 72, "llm_response": "September 28, 2023", "gold_answer": "September 28, 2023", "prompt": "When will the next dividend be paid?", "usage": {"input": 563, "metric": "tokens", "output": 12, "processing_time": 0.3985922336578369, "total": 575}, "category": "core"}
74
+ {"number": 73, "llm_response": "148%.", "gold_answer": "Up 148%", "prompt": "What is the percentage increase in non-GAAP earnings from the previous quarter?", "usage": {"input": 570, "metric": "tokens", "output": 5, "processing_time": 0.21571564674377441, "total": 575}, "category": "core"}
75
+ {"number": 74, "llm_response": "Yes, 71.5% > 70%.", "gold_answer": "Yes, between 71.5% and 72.%", "prompt": "Is the expected gross margin greater than 70%", "usage": {"input": 325, "metric": "tokens", "output": 14, "processing_time": 0.4072740077972412, "total": 339}, "category": "core"}
76
+ {"number": 75, "llm_response": "$16.00 billion, plus or minus 2%.", "gold_answer": "$16.00 billion, plus or minus 2%.", "prompt": "What is the expected revenue for third quarter?", "usage": {"input": 323, "metric": "tokens", "output": 16, "processing_time": 0.45774388313293457, "total": 339}, "category": "core"}
77
+ {"number": 76, "llm_response": "NVIDIA GH200 Grace Hopper Superchip for complex AI and HPC workloads.", "gold_answer": "NVIDIA GH200 Grace Hopper Superchip", "prompt": "Which new product is shipping in the quarter?", "usage": {"input": 323, "metric": "tokens", "output": 23, "processing_time": 0.63584303855896, "total": 346}, "category": "core"}
78
+ {"number": 77, "llm_response": "14.5%", "gold_answer": "14.5%, plus or minor 1%", "prompt": "What is the forecast tax rate?", "usage": {"input": 321, "metric": "tokens", "output": 6, "processing_time": 0.20043301582336426, "total": 327}, "category": "core"}
79
+ {"number": 78, "llm_response": "$2.00 billion", "gold_answer": "$2.00 billion", "prompt": "What is the amount of expected non-GAAP operating expense?", "usage": {"input": 327, "metric": "tokens", "output": 7, "processing_time": 0.22563505172729492, "total": 334}, "category": "core"}
80
+ {"number": 79, "llm_response": "$2.95 billion", "gold_answer": "$2.95 billion", "prompt": "What is the amount of expected GAAP operating expense?", "usage": {"input": 325, "metric": "tokens", "output": 7, "processing_time": 0.2267591953277588, "total": 332}, "category": "core"}
81
+ {"number": 80, "llm_response": "$2.49 billion, up 11% from the previous quarter and up 22% from a year ago.", "gold_answer": "$2.49 billion", "prompt": "What was gaming revenue in the quarter?", "usage": {"input": 406, "metric": "tokens", "output": 28, "processing_time": 0.7804181575775146, "total": 434}, "category": "core"}
82
+ {"number": 81, "llm_response": "$379 million, down 24% from the previous year.", "gold_answer": "$379 million", "prompt": "What was professional visualization revenue in the quarter?", "usage": {"input": 408, "metric": "tokens", "output": 17, "processing_time": 0.4987516403198242, "total": 425}, "category": "core"}
83
+ {"number": 82, "llm_response": "28% increase.", "gold_answer": "Up 28%", "prompt": "What was the increase in professional visualization revenue quarter-to-quarter?", "usage": {"input": 414, "metric": "tokens", "output": 6, "processing_time": 0.2166430950164795, "total": 420}, "category": "core"}
84
+ {"number": 83, "llm_response": "Pixar, Adobe, Apple and Autodesk.", "gold_answer": "Pixar, Adobe, Apple, Autodesk and NVIDIA", "prompt": "Which companies are participating in the Alliance for OpenUSD?", "usage": {"input": 410, "metric": "tokens", "output": 14, "processing_time": 0.4212186336517334, "total": 424}, "category": "core"}
85
+ {"number": 84, "llm_response": "35", "gold_answer": "35", "prompt": "How many DLSS games were added?", "usage": {"input": 406, "metric": "tokens", "output": 3, "processing_time": 0.1371898651123047, "total": 409}, "category": "core"}
86
+ {"number": 85, "llm_response": "$299.", "gold_answer": "$299", "prompt": "What is the lowest price for GeForce RTX 4060 family?", "usage": {"input": 415, "metric": "tokens", "output": 6, "processing_time": 0.21581792831420898, "total": 421}, "category": "core"}
87
+ {"number": 86, "llm_response": "MediaTek", "gold_answer": "MediaTek", "prompt": "Who is NVIDIA's partner for the driver assistance system?", "usage": {"input": 127, "metric": "tokens", "output": 4, "processing_time": 0.1089322566986084, "total": 131}, "category": "core"}
88
+ {"number": 87, "llm_response": "Refinitiv.", "gold_answer": "Refinitiv", "prompt": "What is the former name of LSEG?", "usage": {"input": 472, "metric": "tokens", "output": 5, "processing_time": 0.19617938995361328, "total": 477}, "category": "core"}
89
+ {"number": 88, "llm_response": "Jerome Powell", "gold_answer": "Jerome Powell", "prompt": "Who is the chairman of the Federal Reserve?", "usage": {"input": 471, "metric": "tokens", "output": 6, "processing_time": 0.219712495803833, "total": 477}, "category": "core"}
90
+ {"number": 89, "llm_response": "Japan", "gold_answer": "Japan", "prompt": "Which country had a trade surplus in September?", "usage": {"input": 170, "metric": "tokens", "output": 3, "processing_time": 0.08936738967895508, "total": 173}, "category": "core"}
91
+ {"number": 90, "llm_response": "16.3% compared to the same period last year.", "gold_answer": "Down 16.3%", "prompt": "What was the decline in imports in September in Japan?", "usage": {"input": 171, "metric": "tokens", "output": 14, "processing_time": 0.3687441349029541, "total": 185}, "category": "core"}
92
+ {"number": 91, "llm_response": "62.4 billion yen ($416.6 million)", "gold_answer": "62.4 billion yen ($416.6 million)", "prompt": "What was the trade surplus?", "usage": {"input": 167, "metric": "tokens", "output": 16, "processing_time": 0.4189913272857666, "total": 183}, "category": "core"}
93
+ {"number": 92, "llm_response": "$416.6 million", "gold_answer": "Deficit of 42.5 billion yen.", "prompt": "What did economists expect for the trade surplus amount?", "usage": {"input": 172, "metric": "tokens", "output": 8, "processing_time": 0.21659350395202637, "total": 180}, "category": "core"}
94
+ {"number": 93, "llm_response": "4.3% year on year", "gold_answer": "Up 4.3%", "prompt": "What was the increase in exports?", "usage": {"input": 167, "metric": "tokens", "output": 8, "processing_time": 0.2163405418395996, "total": 175}, "category": "core"}
95
+ {"number": 94, "llm_response": "3,577", "gold_answer": "3,577", "prompt": "What was the S&P trading level one year ago?", "usage": {"input": 748, "metric": "tokens", "output": 6, "processing_time": 0.2650582790374756, "total": 754}, "category": "core"}
96
+ {"number": 95, "llm_response": "3.2%", "gold_answer": "3.2%", "prompt": "What was the cost of living adjustment for 2024?", "usage": {"input": 751, "metric": "tokens", "output": 5, "processing_time": 0.2418229579925537, "total": 756}, "category": "core"}
97
+ {"number": 96, "llm_response": "Buy", "gold_answer": "Buy", "prompt": "What is Bank of America's rating on Target?", "usage": {"input": 747, "metric": "tokens", "output": 3, "processing_time": 0.18713974952697754, "total": 750}, "category": "core"}
98
+ {"number": 97, "llm_response": "Buy rating", "gold_answer": "Buy", "prompt": "What is Bank of Americas' rating on Snowflake?", "usage": {"input": 749, "metric": "tokens", "output": 4, "processing_time": 0.21414399147033691, "total": 753}, "category": "core"}
99
+ {"number": 98, "llm_response": "$16 per share, down from $17.", "gold_answer": "$16", "prompt": "What is Barclay's new price target on UTZ?", "usage": {"input": 751, "metric": "tokens", "output": 13, "processing_time": 0.451824426651001, "total": 764}, "category": "core"}
100
+ {"number": 99, "llm_response": "133 million euros, which is a 69% decline year-on-year.", "gold_answer": "133 million euros.", "prompt": "What was third quarter profit?", "usage": {"input": 138, "metric": "tokens", "output": 22, "processing_time": 0.5762033462524414, "total": 160}, "category": "core"}
101
+ {"number": 100, "llm_response": "Not Found.", "gold_answer": "Not Found", "prompt": "What is the purchase order number?", "usage": {"input": 220, "metric": "tokens", "output": 4, "processing_time": 0.12784194946289062, "total": 224}, "category": "not_found_classification"}
102
+ {"number": 101, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "Who is the EVP of Human Resources?", "usage": {"input": 164, "metric": "tokens", "output": 4, "processing_time": 0.11572837829589844, "total": 168}, "category": "not_found_classification"}
103
+ {"number": 102, "llm_response": "Not Found.", "gold_answer": "Not Found", "prompt": "What is the annual bonus amount?", "usage": {"input": 188, "metric": "tokens", "output": 4, "processing_time": 0.11844587326049805, "total": 192}, "category": "not_found_classification"}
104
+ {"number": 103, "llm_response": "Not Found.", "gold_answer": "Not Found", "prompt": "What is the address of Simmons Technologies?", "usage": {"input": 127, "metric": "tokens", "output": 4, "processing_time": 0.10889840126037598, "total": 131}, "category": "not_found_classification"}
105
+ {"number": 104, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "What was the amount of free cash flow in the quarter?", "usage": {"input": 566, "metric": "tokens", "output": 4, "processing_time": 0.1892545223236084, "total": 570}, "category": "not_found_classification"}
106
+ {"number": 105, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "What is the expected revenue for fourth quarter?", "usage": {"input": 323, "metric": "tokens", "output": 4, "processing_time": 0.1499791145324707, "total": 327}, "category": "not_found_classification"}
107
+ {"number": 106, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "When was the A100 chip released?", "usage": {"input": 324, "metric": "tokens", "output": 4, "processing_time": 0.14955353736877441, "total": 328}, "category": "not_found_classification"}
108
+ {"number": 107, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "What was gaming revenue for the quarter?", "usage": {"input": 121, "metric": "tokens", "output": 4, "processing_time": 0.10835814476013184, "total": 125}, "category": "not_found_classification"}
109
+ {"number": 108, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "What was third quarter revenue?", "usage": {"input": 119, "metric": "tokens", "output": 4, "processing_time": 0.1088261604309082, "total": 123}, "category": "not_found_classification"}
110
+ {"number": 109, "llm_response": "Not Found.", "gold_answer": "Not Found", "prompt": "What is gaming revenue for the full year FY24?", "usage": {"input": 411, "metric": "tokens", "output": 4, "processing_time": 0.16437983512878418, "total": 415}, "category": "not_found_classification"}
111
+ {"number": 110, "llm_response": "Elon Musk", "gold_answer": "Not Found.", "prompt": "Who is the CEO of Netflix?", "usage": {"input": 469, "metric": "tokens", "output": 5, "processing_time": 0.1957392692565918, "total": 474}, "category": "not_found_classification"}
112
+ {"number": 111, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "What was China's trade balance in September?", "usage": {"input": 170, "metric": "tokens", "output": 4, "processing_time": 0.11564445495605469, "total": 174}, "category": "not_found_classification"}
113
+ {"number": 112, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "What was Japan's trade balance in March?", "usage": {"input": 170, "metric": "tokens", "output": 4, "processing_time": 0.11542320251464844, "total": 174}, "category": "not_found_classification"}
114
+ {"number": 113, "llm_response": "Not Found.", "gold_answer": "Not Found", "prompt": "What was the cost of living adjustment for 2023?", "usage": {"input": 751, "metric": "tokens", "output": 4, "processing_time": 0.2154080867767334, "total": 755}, "category": "not_found_classification"}
115
+ {"number": 114, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "When is TJX reporting earnings?", "usage": {"input": 744, "metric": "tokens", "output": 4, "processing_time": 0.21254491806030273, "total": 748}, "category": "not_found_classification"}
116
+ {"number": 115, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "How many were laptops were purchased?", "usage": {"input": 201, "metric": "tokens", "output": 4, "processing_time": 0.1258256435394287, "total": 205}, "category": "not_found_classification"}
117
+ {"number": 116, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "Who is the secretary of agriculture?", "usage": {"input": 105, "metric": "tokens", "output": 4, "processing_time": 0.10880351066589355, "total": 109}, "category": "not_found_classification"}
118
+ {"number": 117, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "What is the executive's salary?", "usage": {"input": 380, "metric": "tokens", "output": 4, "processing_time": 0.15498781204223633, "total": 384}, "category": "not_found_classification"}
119
+ {"number": 118, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "What is the 4th quarter revenue of Broadcom?", "usage": {"input": 566, "metric": "tokens", "output": 4, "processing_time": 0.1900928020477295, "total": 570}, "category": "not_found_classification"}
120
+ {"number": 119, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "How old is Maribeth?", "usage": {"input": 43, "metric": "tokens", "output": 4, "processing_time": 0.10683917999267578, "total": 47}, "category": "not_found_classification"}
121
+ {"number": 120, "llm_response": "Yes.", "gold_answer": "Yes, by more than 22%.", "prompt": "Has the S&P increased over the last year?", "usage": {"input": 747, "metric": "tokens", "output": 3, "processing_time": 0.18833470344543457, "total": 750}, "category": "boolean_mc"}
122
+ {"number": 121, "llm_response": "No.", "gold_answer": "No, Chipotle is increasing prices.", "prompt": "Is Chipotle lowering prices?", "usage": {"input": 745, "metric": "tokens", "output": 3, "processing_time": 0.18770670890808105, "total": 748}, "category": "boolean_mc"}
123
+ {"number": 122, "llm_response": "No.", "gold_answer": "No, it is lowering the target from $38 to $36.", "prompt": "Is Barclay's raising its price target on KHC?", "usage": {"input": 750, "metric": "tokens", "output": 3, "processing_time": 0.18658781051635742, "total": 753}, "category": "boolean_mc"}
124
+ {"number": 123, "llm_response": "No, 4.98 billion euros < 5 billion euros.", "gold_answer": "No.", "prompt": "Were third quarter sales more than 5 billion euros?", "usage": {"input": 145, "metric": "tokens", "output": 18, "processing_time": 0.47015905380249023, "total": 163}, "category": "boolean_mc"}
125
+ {"number": 124, "llm_response": "Yes.", "gold_answer": "Yes.", "prompt": "Did the trade surplus beat expectations?", "usage": {"input": 168, "metric": "tokens", "output": 3, "processing_time": 0.08963346481323242, "total": 171}, "category": "boolean_mc"}
126
+ {"number": 125, "llm_response": "No.", "gold_answer": "No, down 73 points.", "prompt": "Did Dow Jones futures increase?", "usage": {"input": 469, "metric": "tokens", "output": 3, "processing_time": 0.14405536651611328, "total": 472}, "category": "boolean_mc"}
127
+ {"number": 126, "llm_response": "Yes, the 10-year yield is above 4.9%.", "gold_answer": "Yes, it topped 4.9%.", "prompt": "Is the yield on the 10-year above 4.8%?", "usage": {"input": 479, "metric": "tokens", "output": 17, "processing_time": 0.5144526958465576, "total": 496}, "category": "boolean_mc"}
128
+ {"number": 127, "llm_response": "No.", "gold_answer": "No, it was down 1.6%.", "prompt": "Did the Nasdaq Composite increase?", "usage": {"input": 471, "metric": "tokens", "output": 3, "processing_time": 0.14404582977294922, "total": 474}, "category": "boolean_mc"}
129
+ {"number": 128, "llm_response": "No, revenue was down 15%.", "gold_answer": "No, it was down 15% from the previous quarter.", "prompt": "Did automotive revenue increase in the current quarter compared to last quarter?", "usage": {"input": 127, "metric": "tokens", "output": 10, "processing_time": 0.2609541416168213, "total": 137}, "category": "boolean_mc"}
130
+ {"number": 129, "llm_response": "Yes, up 15%.", "gold_answer": "Yes, up 15%.", "prompt": "Did automotive revenue increase year-over-year?", "usage": {"input": 124, "metric": "tokens", "output": 8, "processing_time": 0.210174560546875, "total": 132}, "category": "boolean_mc"}
131
+ {"number": 130, "llm_response": "Yes, $253 million > $250 million.", "gold_answer": "Yes", "prompt": "Was automotive revenue more than $250 million?", "usage": {"input": 125, "metric": "tokens", "output": 15, "processing_time": 0.38783955574035645, "total": 140}, "category": "boolean_mc"}
132
+ {"number": 131, "llm_response": "No.", "gold_answer": "No, it was up 11% quarter-to-quarter and 22% year-to-year.", "prompt": "Did gaming revenue decrease?", "usage": {"input": 403, "metric": "tokens", "output": 3, "processing_time": 0.1397230625152588, "total": 406}, "category": "boolean_mc"}
133
+ {"number": 132, "llm_response": "Yes, 101% > 50%.", "gold_answer": "Yes, it increased 101% year-to-year.", "prompt": "Did revenue increase more than 50% year-to-year?", "usage": {"input": 569, "metric": "tokens", "output": 13, "processing_time": 0.4260547161102295, "total": 582}, "category": "boolean_mc"}
134
+ {"number": 133, "llm_response": "Yes, $3.38 billion > $3.28 billion.", "gold_answer": "Yes, $3.38 billion was returned", "prompt": "Was more than $3 billion returned to shareholders in the quarter?", "usage": {"input": 568, "metric": "tokens", "output": 17, "processing_time": 0.5294334888458252, "total": 585}, "category": "boolean_mc"}
135
+ {"number": 134, "llm_response": "Not Found.", "gold_answer": "No, it decreased by 28%", "prompt": "Did Windows OEM revenue increase?", "usage": {"input": 321, "metric": "tokens", "output": 4, "processing_time": 0.15010285377502441, "total": 325}, "category": "boolean_mc"}
136
+ {"number": 135, "llm_response": "No.", "gold_answer": "No, net sales declined 20% year-on-year, and the company has described the market environment as 'challenging.'", "prompt": "Are Nokia's products performing well in the market?", "usage": {"input": 145, "metric": "tokens", "output": 3, "processing_time": 0.08953642845153809, "total": 148}, "category": "boolean_mc"}
137
+ {"number": 136, "llm_response": "Yes, sales are down 20%.", "gold_answer": "Yes, net sales declined 20% year-on-year.", "prompt": "Is Nokia having trouble with sales?", "usage": {"input": 141, "metric": "tokens", "output": 10, "processing_time": 0.26935911178588867, "total": 151}, "category": "boolean_mc"}
138
+ {"number": 137, "llm_response": "No.", "gold_answer": "No, exports to Asia decreased for the last nine months.", "prompt": "Are Japan's exports to Asia increasing?", "usage": {"input": 169, "metric": "tokens", "output": 3, "processing_time": 0.09030723571777344, "total": 172}, "category": "boolean_mc"}
139
+ {"number": 138, "llm_response": "Yes.", "gold_answer": "Yes, by 4.3% year to year.", "prompt": "Are Japan's total exports increasing?", "usage": {"input": 168, "metric": "tokens", "output": 3, "processing_time": 0.08968997001647949, "total": 171}, "category": "boolean_mc"}
140
+ {"number": 139, "llm_response": "No.", "gold_answer": "No, the base salary is $200,000.", "prompt": "Is the executive's base salary $250,000?", "usage": {"input": 197, "metric": "tokens", "output": 3, "processing_time": 0.10059571266174316, "total": 200}, "category": "boolean_mc"}
141
+ {"number": 140, "llm_response": "$253 million + $100 million = $353 million.", "gold_answer": "$353 million", "prompt": "If automotive revenue increases by $100 million in third quarter, what will be the amount?", "usage": {"input": 134, "metric": "tokens", "output": 19, "processing_time": 0.496171236038208, "total": 153}, "category": "math_basic"}
142
+ {"number": 141, "llm_response": "$14 + $2 = $16.", "gold_answer": "$16", "prompt": "If the stock increases by $2, what is the new price?", "usage": {"input": 33, "metric": "tokens", "output": 12, "processing_time": 0.30443906784057617, "total": 45}, "category": "math_basic"}
143
+ {"number": 142, "llm_response": "$12 - $3 = $9. The new price is $9.", "gold_answer": "$9", "prompt": "If the stock decreases by $3, what is the new price?", "usage": {"input": 41, "metric": "tokens", "output": 19, "processing_time": 0.4863460063934326, "total": 60}, "category": "math_basic"}
144
+ {"number": 143, "llm_response": "January 15, 2019", "gold_answer": "January 15, 2019", "prompt": "What is the date when the loan will expire?", "usage": {"input": 46, "metric": "tokens", "output": 12, "processing_time": 0.30769944190979004, "total": 58}, "category": "math_basic"}
145
+ {"number": 144, "llm_response": "37 + 10 = 47. Bryan is now 47 years old.", "gold_answer": "47 years old.", "prompt": "If the year is now 2022, how old is Bryan now?", "usage": {"input": 40, "metric": "tokens", "output": 22, "processing_time": 0.5571119785308838, "total": 62}, "category": "math_basic"}
146
+ {"number": 145, "llm_response": "$425,000 + $25,000 = $450,000.", "gold_answer": "$450,000", "prompt": "What is the amount of the executive's new salary?", "usage": {"input": 53, "metric": "tokens", "output": 27, "processing_time": 0.683128833770752, "total": 80}, "category": "math_basic"}
147
+ {"number": 146, "llm_response": "January 15.", "gold_answer": "January 15", "prompt": "When is the last day to pay the invoice?", "usage": {"input": 45, "metric": "tokens", "output": 7, "processing_time": 0.1822218894958496, "total": 52}, "category": "math_basic"}
148
+ {"number": 147, "llm_response": "1,000 X 2 = 2,000.", "gold_answer": "2,000", "prompt": "How many shares traded on Wednesday?", "usage": {"input": 51, "metric": "tokens", "output": 17, "processing_time": 0.43451452255249023, "total": 68}, "category": "math_basic"}
149
+ {"number": 148, "llm_response": "$1200 X 50% = $600. The new rental price will be $1200 + $600 = $1800.", "gold_answer": "$1800", "prompt": "If the rent increased by 50%, what is the new rental price?", "usage": {"input": 44, "metric": "tokens", "output": 41, "processing_time": 1.0381319522857666, "total": 85}, "category": "math_basic"}
150
+ {"number": 149, "llm_response": "$200,000 X 50% = $100,000.", "gold_answer": "$100,000", "prompt": "What is the amount of the target bonus?", "usage": {"input": 54, "metric": "tokens", "output": 24, "processing_time": 0.6169862747192383, "total": 78}, "category": "math_basic"}
151
+ {"number": 150, "llm_response": "\u2022Liam - 41 years old;\r\n\u2022Francois - 29 years old;\r\n\u2022Ashish - 27 years old;\r\n\u2022Myra - 23 years old.", "gold_answer": "1. Liam - 41;\n2. Francois - 29;\n3. Ashish - 27;\n4. Myra - 23.", "prompt": "What is a list of the people ranked in order of age, from oldest to youngest?", "usage": {"input": 64, "metric": "tokens", "output": 46, "processing_time": 1.1639752388000488, "total": 110}, "category": "math_basic"}
152
+ {"number": 151, "llm_response": "John is 47 years old, and Elizabeth is 35 years old. John is older than Elizabeth.", "gold_answer": "John", "prompt": "Who is older - Elizabeth or John?", "usage": {"input": 34, "metric": "tokens", "output": 25, "processing_time": 0.6374869346618652, "total": 59}, "category": "math_basic"}
153
+ {"number": 152, "llm_response": "Chocolate - $3.25.", "gold_answer": "Chocolate - $3.25", "prompt": "Which item has the lowest price?", "usage": {"input": 56, "metric": "tokens", "output": 10, "processing_time": 0.2581665515899658, "total": 66}, "category": "math_basic"}
154
+ {"number": 153, "llm_response": "Coffee - $5.50.", "gold_answer": "Cheese - $6.25", "prompt": "Which item has the highest price?", "usage": {"input": 56, "metric": "tokens", "output": 11, "processing_time": 0.2828984260559082, "total": 67}, "category": "math_basic"}
155
+ {"number": 154, "llm_response": "No, $3.25 < $5.50.", "gold_answer": "No, chocolate has a lower price than coffee.", "prompt": "Does chocolate have a higher price than coffee?", "usage": {"input": 54, "metric": "tokens", "output": 15, "processing_time": 0.38601088523864746, "total": 69}, "category": "math_basic"}
156
+ {"number": 155, "llm_response": "Nasdaq 100 futures, which ticked up 63 points, or 0.5%.", "gold_answer": "Nasdaq 100 futures, up 63 points.", "prompt": "Which stock index increased by the most points yesterday?", "usage": {"input": 105, "metric": "tokens", "output": 27, "processing_time": 0.6893281936645508, "total": 132}, "category": "math_basic"}
157
+ {"number": 156, "llm_response": "Nasdaq 100 futures, up 63 points, or 0.5%.", "gold_answer": "S&P 500 futures futures, up 1.2%.", "prompt": "Which stock index increased by the highest percentage yesterday?", "usage": {"input": 105, "metric": "tokens", "output": 24, "processing_time": 0.6137683391571045, "total": 129}, "category": "math_basic"}
158
+ {"number": 157, "llm_response": "Red Dog LLC - $61.", "gold_answer": "River Industries - $53.", "prompt": "Which stock has the highest price?", "usage": {"input": 94, "metric": "tokens", "output": 9, "processing_time": 0.23348021507263184, "total": 103}, "category": "math_basic"}
159
+ {"number": 158, "llm_response": "$19 + $2 = $21.", "gold_answer": "$21", "prompt": "If Smithson stock increases by $2, what is the new price?", "usage": {"input": 89, "metric": "tokens", "output": 12, "processing_time": 0.3100287914276123, "total": 101}, "category": "math_basic"}
160
+ {"number": 159, "llm_response": "$87,000.", "gold_answer": "PO 1993", "prompt": "Which PO number has the smallest value?", "usage": {"input": 127, "metric": "tokens", "output": 9, "processing_time": 0.23551702499389648, "total": 136}, "category": "math_basic"}
161
+ {"number": 160, "llm_response": "(D) $28.5 billion.", "gold_answer": "(D) $28.5 billion", "prompt": "What was the amount of Cloud revenue in the quarter - (A) $52.9 billion, (B) $18.3 billion, (C) $17.5 billion, or (D) $28.5 billion?", "usage": {"input": 709, "metric": "tokens", "output": 11, "processing_time": 0.3984084129333496, "total": 720}, "category": "complex_qa"}
162
+ {"number": 161, "llm_response": "(B) TestCo Software.", "gold_answer": "(B) TestCo Software.", "prompt": "What is the name of the company - (A) Microsoft, (B) TestCo Software, (C) Aphrodite Apollo, or (D) Executive Employment Agreement?", "usage": {"input": 210, "metric": "tokens", "output": 8, "processing_time": 0.2284860610961914, "total": 218}, "category": "complex_qa"}
163
+ {"number": 162, "llm_response": "(D) $10,000.", "gold_answer": "(D) $10,000.", "prompt": "What is the price for the services of the Quality Assurance Manager - (A) $1,000, (B) $7500, (C) $22,500, or (D) $10,000?", "usage": {"input": 249, "metric": "tokens", "output": 12, "processing_time": 0.3361642360687256, "total": 261}, "category": "complex_qa"}
164
+ {"number": 163, "llm_response": "(C) 14%.", "gold_answer": "(C) 14%.", "prompt": "What was the percentage increase in diluted earnings per share in constant currency - (A) 10%, (B) 7%, (C) 14%, or (D) 15%?", "usage": {"input": 233, "metric": "tokens", "output": 8, "processing_time": 0.23177456855773926, "total": 241}, "category": "complex_qa"}
165
+ {"number": 164, "llm_response": "(B) 69%.", "gold_answer": "(B) 69%.", "prompt": "What is the rate of decline in profit - (A) 20%, (B) 69%, (C) 68%, (D) 32%, or (E) 133 million?", "usage": {"input": 179, "metric": "tokens", "output": 8, "processing_time": 0.21696138381958008, "total": 187}, "category": "complex_qa"}
166
+ {"number": 165, "llm_response": "\u20222022 - $81,462;\r\n\u20222021 - $53,823;\r\n\u20222020 - $31,536;\r\n\u20222019 - $24,578.", "gold_answer": "\u20222019 - 24,578;\n\u20222020 - 31,536;\n\u20222021 - 53,823;\n\u20222022 - 81,462.", "prompt": "What is a list of net sales in 2019, 2020, 2021, and 2022?", "usage": {"input": 888, "metric": "tokens", "output": 60, "processing_time": 1.7400782108306885, "total": 948}, "category": "complex_qa"}
167
+ {"number": 166, "llm_response": "$297", "gold_answer": "297.", "prompt": "What is non-operating income interest in 2022?", "usage": {"input": 870, "metric": "tokens", "output": 5, "processing_time": 0.2674238681793213, "total": 875}, "category": "complex_qa"}
168
+ {"number": 167, "llm_response": "$6,496", "gold_answer": "6,496.", "prompt": "What is Operating Income in 2021?", "usage": {"input": 868, "metric": "tokens", "output": 7, "processing_time": 0.3198392391204834, "total": 875}, "category": "complex_qa"}
169
+ {"number": 168, "llm_response": "$24,578", "gold_answer": "18,402.", "prompt": "What is the cost of goods sold (excluding depreciation) in 2019?", "usage": {"input": 878, "metric": "tokens", "output": 8, "processing_time": 0.34796738624572754, "total": 886}, "category": "complex_qa"}
170
+ {"number": 169, "llm_response": "$13,719", "gold_answer": "13,719", "prompt": "What is the amount of pretax income in 2022?", "usage": {"input": 870, "metric": "tokens", "output": 8, "processing_time": 0.34832096099853516, "total": 878}, "category": "complex_qa"}
171
+ {"number": 170, "llm_response": "\u2022Herbert Simon,\r\n\u2022Marvin Minsky,\r\n\u2022Sir James Lighthill, and\r\n\u2022Papert.", "gold_answer": "\u2022Herbert Simon;\n\u2022Marvin Minsky;\n\u2022Sir James Lighthill;\n\u2022Papert.", "prompt": "What is a list of all of the people mentioned?", "usage": {"input": 416, "metric": "tokens", "output": 29, "processing_time": 0.8162529468536377, "total": 445}, "category": "complex_qa"}
172
+ {"number": 171, "llm_response": "\u2022ServiceNow and Accenture to develop AI Lighthouse;\r\n\u2022VMware to extend strategic partnership;\r\n\u2022Snowflake to develop generative AI-enabled content engine;\r\n\u2022Softbank to create platform for generative AI and 5G/6G applications;\r\n\u2022Hugging Face to give developers access to Nvidia DGX Cloud AI supercomputing;\r\n\u2022Nvidia AI Workbench to create, test and customize pretrained AI models", "gold_answer": "\u2022Amazon Web Services;\n\u2022Microsoft Azure;\u2022\nRegional Cloud Service Providers;\n\u2022ServiceNow;\n\u2022Accenture;\n\u2022VMWare;\n\u2022Snowflake;\n\u2022WPP;\n\u2022Softbank;\n\u2022Hugging Face.", "prompt": "What is a list of Nvidia's partners mentioned in the text?", "usage": {"input": 613, "metric": "tokens", "output": 101, "processing_time": 2.7522895336151123, "total": 714}, "category": "complex_qa"}
173
+ {"number": 172, "llm_response": "\u2022Tesla,\r\n\u2022Netflix,\r\n\u2022Fifth Third,\r\n\u2022KeyCorp,\r\n\u2022American Airlines,\r\n\u2022Union Pacific, and\r\n\u2022CSX.", "gold_answer": "\u2022Tesla;\n;\u2022Netflix;\n\u2022KeyCorp;\n\u2022Fifth Third;\n\u2022Truist Financial;\n\u2022American Airlines;\n\u2022Union Pacific;\n\u2022CSX.", "prompt": "What is a list of the companies that are mentioned in the text?", "usage": {"input": 476, "metric": "tokens", "output": 41, "processing_time": 1.12644624710083, "total": 517}, "category": "complex_qa"}
174
+ {"number": 173, "llm_response": "1. U.S.;\r\n2. Britain;\r\n3. Japan.", "gold_answer": "1. U.S;\n2. UK;\n3. Japan.", "prompt": "Which three governments are mentioned in the text?", "usage": {"input": 414, "metric": "tokens", "output": 21, "processing_time": 0.6036398410797119, "total": 435}, "category": "complex_qa"}
175
+ {"number": 174, "llm_response": "The reason for the intraday reversal was unclear, but some noted that it could be the softer wage number in the jobs report, and others noted the pullback in yields from the day's highs. Part of the rally may just be to do a market that had gotten extremely oversold.", "gold_answer": "Traders were unclear of the reason, but some noted it could be the softer wage numberin the jobs report.", "prompt": "Why did the intraday reversal occur?", "usage": {"input": 527, "metric": "tokens", "output": 66, "processing_time": 1.8027501106262207, "total": 593}, "category": "complex_qa"}
176
+ {"number": 175, "llm_response": "The Finnish telecommunications giant said that it will reduce its cost base and increase operation efficiency to \"address the challenging market environment.\"", "gold_answer": "Cost cutting plan", "prompt": "Why is Nokia cutting jobs?", "usage": {"input": 140, "metric": "tokens", "output": 28, "processing_time": 0.7260177135467529, "total": 168}, "category": "complex_qa"}
177
+ {"number": 176, "llm_response": "Tesla stock declined 4% after the company missed expectations on earnings and revenue in the third quarter. CEO Elon Musk also warned that the Cybertruck will not produce much positive cash flow more than a year after production starts.", "gold_answer": "The company missed expectations on earnings and revenue,and Elon Musk warned that the Cybertruck will not producepositive cash flow for more than a year.", "prompt": "Why did Tesla stock decline?", "usage": {"input": 469, "metric": "tokens", "output": 52, "processing_time": 1.4169564247131348, "total": 521}, "category": "complex_qa"}
178
+ {"number": 177, "llm_response": "\u2022Two Democrats won special runoff elections on January 5, 2021 - Jon Ossoff and Raphael Warnock;\r\n\u2022On January 6, 2021, a mob of Trump supporters stormed the Capitol, forcing Congress to evacuate, and resulting in the deployment of thousands of National Guard members to the Capitol for the inauguration.", "gold_answer": "The electoral victories in Georgia by Jon Ossoff and Raphael Warnock.", "prompt": "What events enabled the Democrats to win the Senate?", "usage": {"input": 351, "metric": "tokens", "output": 82, "processing_time": 2.166264772415161, "total": 433}, "category": "complex_qa"}
179
+ {"number": 178, "llm_response": "North Industries", "gold_answer": "North Industries", "prompt": "Which company is located in Nevada?", "usage": {"input": 124, "metric": "tokens", "output": 5, "processing_time": 0.1340930461883545, "total": 129}, "category": "complex_qa"}
180
+ {"number": 179, "llm_response": "Blue Moon Tech.", "gold_answer": "Blue Moon Tech.", "prompt": "Which company is located on California Street?", "usage": {"input": 125, "metric": "tokens", "output": 5, "processing_time": 0.1338503360748291, "total": 130}, "category": "complex_qa"}
181
+ {"number": 180, "llm_response": "\u2022Revenue: $16.00 billion, plus or minus 2%;\r\n\u2022GAAP and non-GAAP gross margins: 71.5% and 72.5%, plus or minus 50 basis points;\r\n\u2022GAAP and non-GAAP operating expenses: approximately $2.95 billion and $2.00 billion, respectively;\r\n\u2022GAAP and non-GAAP other income and expense:", "gold_answer": "\u2022Revenue: $16.00 billion, plus or minus 2%;\n\u2022Gross Margins: 71.5%-72.%, plus or minor 50 basis points;\n\u2022GAAP operating expenses: $2.95 billion;\n\u2022Non - GAAP operating expense: $2.00 billion.", "prompt": "What are the key financial metrics for the outlook for the third quarter?", "usage": {"input": 329, "metric": "tokens", "output": 101, "processing_time": 2.6412923336029053, "total": 430}, "category": "summary"}
182
+ {"number": 181, "llm_response": "\u2022Second quarter revenue was a record $10.32 billion;\r\n\u2022Second quarter revenue was up 141% from the previous quarter;\r\n\u2022Second quarter revenue was up 171% from a year ago;\r\n\u2022Announced that the NVIDIA GH200 Grace Hopper Superchip for complex AI and HPC workloads is shipping this quarter;\r\n\u2022Second generation version with HBM3e memory is expected to ship in Q2 of ", "gold_answer": "\u2022Second-quarter revenue: record $10.32 billion;\n\u2022Up 141% from previous quarter;\nUp 171% from previousyear", "prompt": "What is a list of key points about data center performance?", "usage": {"input": 326, "metric": "tokens", "output": 101, "processing_time": 2.6560492515563965, "total": 427}, "category": "summary"}
183
+ {"number": 182, "llm_response": "1. Record revenue of $13.51 billion, up 88% from Q1, up 101% from year ago;\r\n2. Record Data Center revenue of $10.32 billion, up 141% from Q1, up 171% from year ago;\r\n3. GAAP EPS of $2.48, up 854% from a year ago, and up 20", "gold_answer": "1. Record revenue of $13.51 billion;\n2. Record Data Center revenue of $10.32 billion;\n3. GAAP earnings per diluted share of $2.48.", "prompt": "What is a list of the top 3 financial highlights for the quarter?", "usage": {"input": 569, "metric": "tokens", "output": 101, "processing_time": 2.742401599884033, "total": 670}, "category": "summary"}
184
+ {"number": 183, "llm_response": "\u2022Joe Biden is the 46th President of the United States;\r\n\u2022He was inaugurated on January 20, 2021;\r\n\u2022He is a Democrat from Delaware;\r\n\u2022He served as Vice President under Barack Obama;\r\n\u2022He won the 2020 presidential election over Donald Trump;\r\n\u2022He is the oldest president in American history.", "gold_answer": "\u2022Joe Biden was inaugurated on January 20, 2021;\n\u2022Biden is the 46th President of the United States;\n\u2022Biden previously served as Vice President under Barack Obama;\n\u2022Biden won the 2020 presidential election over incumbent Donald Trump;\n\u2022Biden is the oldest president in American history.", "prompt": "What is a list of the top summary points?", "usage": {"input": 108, "metric": "tokens", "output": 84, "processing_time": 2.125145435333252, "total": 192}, "category": "summary"}
185
+ {"number": 184, "llm_response": "1. General Services Administration head Emily W. Murphy refused to begin the transition to the president-elect, generally acknowledged as the winner, until Michigan certified its results.\r\n2. On November 23, after Michigan certified its results, Murphy issued the letter of ascertainment, granting the Biden transition team access to federal funds and resources.\r\n3. On January 5, 2021, the Democratic Party won control of the United States Senate, effective January ", "gold_answer": "1. General Services Administration head Emily W. Murphy initially refused to begin the transition for president-elect Biden until Michigan certified its results on November 23;\n2. Two days after becoming the projected winner, Biden announced the formation of a task forceto advise on the COVID-19 pandemic;\n3. On January 5, 2021, the Democratic Party won control of the U.S. Senate, with the electoralvictories in Georgia by Jon Ossoff and Raphael Warnock;\n4. On January 6, 2021, a mob of Trump supporters stormed the Capitol, forcing Congress to evacuateduring the counting of the Electoral Votes;\n5. For the inauguration, more than 26,000 National Guard members were deployed.", "prompt": "What is a list of the top 5 summary points?", "usage": {"input": 353, "metric": "tokens", "output": 101, "processing_time": 2.6538543701171875, "total": 454}, "category": "summary"}
186
+ {"number": 185, "llm_response": "\u2022Record revenue of $13.51 billion, up 88% from Q1, up 101% from year ago;\r\n\u2022Record Data Center revenue of $10.32 billion, up 141% from Q1, up 171% from year ago;\r\n\u2022GAAP earnings per diluted share of $2.48, up 854% from a year ago, up 202% from", "gold_answer": "\u2022Revenue: $52.9 million, up 10% in constant currency;\n\u2022Operating income: $22.4 billion, up 15% in constant currency;\n\u2022Net income: $18.3 billion, up 14% in constant currency;\n\u2022Diluted earnings per share: $2.45 billion, up 14% in constant currency.", "prompt": "What is the list of the top financial highlights for the quarter?", "usage": {"input": 567, "metric": "tokens", "output": 101, "processing_time": 2.728527545928955, "total": 668}, "category": "summary"}
187
+ {"number": 186, "llm_response": "1. The study of mechanical or \"formal\" reasoning began with philosophers and mathematicians in antiquity.\r\n2. The study of logic led directly to Alan Turing's theory of computation.\r\n3. The first paper later recognized as \"AI\" was McCullouch and Pitts design for Turing-complete \"artificial neurons\" in 1943.", "gold_answer": "1. The study of formal reasoning began in antiquity;\n2. These studies led directly to Alan Turing's theory of computation, which led researchers to consider the possibility of building an 'electronic brain';\n3. The first paper that recognized AI was published in 1943, and the field was founded in 1956.", "prompt": "What is a list of the top 3 points?", "usage": {"input": 193, "metric": "tokens", "output": 87, "processing_time": 2.2430419921875, "total": 280}, "category": "summary"}
188
+ {"number": 187, "llm_response": "\u2022The attendees became the leaders of AI research in the 1960s, and produced programs that the press described as \"astonishing\" - computers were learning checkers strategies, solving word problems in algebra, proving logical theorems and speaking English.\r\n\u2022By the mid-1960s, research in the U.S. was heavily funded by the Department of Defense, and laboratories had been established around the world.\r\n\u2022Marvin M", "gold_answer": "\u2022In the 1960s, AI researchers produced 'astonishing' programs that could learn checkers, word problems,prove logical theorems and speak English;\n\u2022AI research at the time was funded heavily by the U.S. Department of Defense;\n\u2022Herbert Simon predicted that machines would be capable in 20 years of doing human work;\n\u2022Marvin Minskey predicted that AI would be substantially solved within a generation;\n\u2022Due to these under-estimations of the difficulty of the problem, reduced government funding, and concerns about the real-world use of neural networks, the 'AI winter' followed;\n\u2022AI research was revived in the 1980s with expert systems, and the market for AI reached over $1 billion in 1985;\nHowever, with the collapse of the Lisp machine market in 1987, AI fell in disrepute again, and another AI winter ensued.", "prompt": "What is a list of the top summary points?", "usage": {"input": 415, "metric": "tokens", "output": 101, "processing_time": 2.67753005027771, "total": 516}, "category": "summary"}
189
+ {"number": 188, "llm_response": "\u2022Wednesday - $27;\r\n\u2022Thursday - $33;\r\n\u2022Friday - $36.", "gold_answer": "\u2022Wednesday - $27;\n\u2022Thursday - $33;\n\u2022Friday - $36.", "prompt": "What is a list of the stock prices on Wednesday, Thursday and Friday?", "usage": {"input": 65, "metric": "tokens", "output": 28, "processing_time": 0.7117478847503662, "total": 93}, "category": "summary"}
190
+ {"number": 189, "llm_response": "Joe Biden, age 78, is the 46th President of the United States.", "gold_answer": "Joe Biden is the 46th President of the United States.", "prompt": "What is a headline summary in 10 words or less?", "usage": {"input": 112, "metric": "tokens", "output": 22, "processing_time": 0.5636885166168213, "total": 134}, "category": "summary"}
191
+ {"number": 190, "llm_response": "Two days after becoming the projected winner of the 2020 election, Biden formed a task force to advise on COVID-19 during the transition, co-chaired by Surgeon General Vivek Murthy, FDA Commissioner David Kessler, and Yale University's Marcella Nunez-Smith. On January 6, a mob of Trump supporters stormed the Capitol, forcing Congress to evacuate during the counting of the Electoral College votes", "gold_answer": "After Biden won the election, he formed a pandemic task force, the democrats won the Senate, and a mob stormed the Capital on January 6.", "prompt": "What is a one-line brief description in 25 words or less?", "usage": {"input": 357, "metric": "tokens", "output": 101, "processing_time": 2.6562836170196533, "total": 458}, "category": "summary"}
192
+ {"number": 191, "llm_response": "Not Found.", "gold_answer": "\u2022Office Commercial Products;\n\u2022Office Consumer Products;\n\u2022Microsoft 365 Consumer;\n\u2022LinkedIn;\n\u2022Dynamics Products;\n\u2022Server Products;\n\u2022More Personal Computing;\n\u2022Windows OEM;\n\u2022Devices;\n\u2022Windows Commercial;\n\u2022Xbox;\n\u2022Search and News Advertising.", "prompt": "What is a list of top Microsoft product offerings?", "usage": {"input": 325, "metric": "tokens", "output": 4, "processing_time": 0.15278172492980957, "total": 329}, "category": "summary"}
193
+ {"number": 192, "llm_response": "\u2022Invoice Date: March 3, 2022;\r\n\u2022Invoice No: 234;\r\n\u2022ABC Company 8675 River Run Road, Marlington, CT 09392;\r\n\u2022Invoice to Delta Inc. 8723 Wilton Boulevard, Los Angeles, CA;\r\n\u2022Payment terms due date: May 3, 2022;\r\n\u2022Quantity Description Unit Price Line Total", "gold_answer": "\u2022Invoice Date: March 3, 2022;\\\u2022Invoice Number: No 234;\n\u2022From: ABC Company;\n\u2022To: Delta Inc.;\n\u2022Due Date: Due on Receipt;\n\u2022Total: $4565.00.", "prompt": "What is a list of the key points?", "usage": {"input": 222, "metric": "tokens", "output": 101, "processing_time": 2.617692708969116, "total": 323}, "category": "summary"}
194
+ {"number": 193, "llm_response": "Microsoft CEO Satya Nadella said, \"The world's most advanced AI models are coming together with the world's most universal user interface - natural language - to create a new era of computing.\" Microsoft Cloud revenue was up 22% year-over-year.", "gold_answer": "According to Microsoft's CEO and CFO, the Microsoft Cloud is the platform for choice for AI,and growing 22% year-over-year as a result of focused execution.", "prompt": "What is a summary in 30 words or less?", "usage": {"input": 167, "metric": "tokens", "output": 58, "processing_time": 1.4889774322509766, "total": 225}, "category": "summary"}
195
+ {"number": 194, "llm_response": "\u2022Vivek Murthy,\r\n\u2022David A. Kessler,\r\n\u2022Marcella Nunez-Smith,\r\n\u2022Jon Ossoff,\r\n\u2022Raphael Warnock,\r\n\u2022National Guard members", "gold_answer": "\u2022Biden;\n\u2022Emily W. Murphy;\n\u2022Vivek Murthy;\n\u2022David A. Kessler;\n\u2022Marcella Nunez-Smith;\n\u2022Jon Ossoff;\n\u2022Raphael Warnock.", "prompt": "What is a list of all of the people mentioned?", "usage": {"input": 352, "metric": "tokens", "output": 51, "processing_time": 1.3648841381072998, "total": 403}, "category": "summary"}
196
+ {"number": 195, "llm_response": "Nokia announced a cost cutting plan that includes layoffs of up to 14,000 jobs, following a 20% decline in net sales and a 69% decline in profit.", "gold_answer": "Nokia is cutting 14,000 jobs as part of a cost reductionplan after reporting profits that declined 69% year-on-year.", "prompt": "What is a one-line summary?", "usage": {"input": 140, "metric": "tokens", "output": 45, "processing_time": 1.158841848373413, "total": 185}, "category": "summary"}
197
+ {"number": 196, "llm_response": "\u2022Senior Vice President, Event Planning (\"SVP\") of the Employer's Workforce Optimization Division;\r\n\u2022Reporting to the Board of Directors of Employer;\r\n\u2022Devoting substantially all of his business time and attention;\r\n\u2022Responsible for running the day-to-day operations of the Employer and its subsidiaries;\r\n\u2022Performing faithfully, diligently and competently the duties and responsibilities of a SV", "gold_answer": "\u2022Senior Vice President, Event Planning ('SVP') of Workforce Optimization Division;\n\u2022Report to Board of Directors;\n\u2022Devote substantially all of business time and attention to the operations of the Employer;\n\u2022responsible for running Employer's day-to-day operations;\n\u2022Perform faithfully, diligently and competently the duties and responsibilities of a SVP.", "prompt": "What is a list of the executive's responsibilities?", "usage": {"input": 384, "metric": "tokens", "output": 101, "processing_time": 2.6665842533111572, "total": 485}, "category": "summary"}
198
+ {"number": 197, "llm_response": "NVIDIA Announces Financial Results for Second Quarter Fiscal 2024\r\nAugust 23, 2023\r\nRecord revenue of $13.51 billion, up 88% from Q1, up 101% from year ago\r\nRecord Data Center revenue of $10.32 billion, up 141% from Q1, up 171% from year ago", "gold_answer": "NVIDIA Announces Second Quarter Fiscal 2024 Results with record revenue of $13.51 billion.", "prompt": "What is a headline description?", "usage": {"input": 561, "metric": "tokens", "output": 98, "processing_time": 2.649517059326172, "total": 659}, "category": "summary"}
199
+ {"number": 198, "llm_response": "The world's most advanced AI models are coming together with the world's most universal user interface - natural language - to create a new era of computing.", "gold_answer": "Microsoft Cloud is the platform of choice for the next generation of AI.", "prompt": "What is a summary of the CEO's statement in 15 words or less?", "usage": {"input": 173, "metric": "tokens", "output": 33, "processing_time": 0.8542342185974121, "total": 206}, "category": "summary"}
200
+ {"number": 199, "llm_response": "\u2022Services Vendor Inc.\r\n\u2022100 Elm Street, Pleasantville, NY 10010\r\n\u2022Alpha Inc.\r\n\u20225900 1st Street, Los Angeles, CA 10000\r\n\u2022Description of Services:\r\n\u2022Front End Engineering Service - $5,000.00\r\n\u2022Back End Engineering Service - $7,500.00\r\n\u2022Quality Assurance Manager", "gold_answer": "\u2022Invoice From: Services Vendor Inc.;\n\u2022Invoice To: Alpha Inc.;\n\u2022Total Amount: $22,500.00;\n\u2022Payment Due: within 30 days;\n\u2022Contact: Bia Hermes;\n\u2022Invoice #0001;\u2022Data: 01/01/2022.", "prompt": "What are the key terms of the invoice?", "usage": {"input": 203, "metric": "tokens", "output": 101, "processing_time": 2.609790325164795, "total": 304}, "category": "summary"}
dragon-deci-7b-v0_core_test_1215_2.jsonl ADDED
@@ -0,0 +1,200 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"number": 0, "llm_response": "$22,500.00", "gold_answer": "$22,500.00", "prompt": "What is the total amount of the invoice?", "usage": {"input": 203, "metric": "tokens", "output": 11, "processing_time": 0.305250883102417, "total": 214}, "category": "core"}
2
+ {"number": 1, "llm_response": "# 0001", "gold_answer": "#0001", "prompt": "What is the invoice number?", "usage": {"input": 200, "metric": "tokens", "output": 7, "processing_time": 0.19945549964904785, "total": 207}, "category": "core"}
3
+ {"number": 2, "llm_response": "\u2022Front End Engineering Service - $5000.00;\r\n\u2022Back End Engineering Service - $7500.00;\r\n\u2022Quality Assurance Manager - $10,000.00;\r\n\u2022Total Amount - $22,500.00.", "gold_answer": "\u2022Front End Engineering Service;\n\u2022Back End Engineering Service;\n\u2022Quality Assurance Manager", "prompt": "What is a list of the items being purchased?", "usage": {"input": 203, "metric": "tokens", "output": 68, "processing_time": 1.7515947818756104, "total": 271}, "category": "core"}
4
+ {"number": 3, "llm_response": "Bia Hermes", "gold_answer": "Bia Hermes", "prompt": "What is the name of the contact for question?", "usage": {"input": 203, "metric": "tokens", "output": 5, "processing_time": 0.15128159523010254, "total": 208}, "category": "core"}
5
+ {"number": 4, "llm_response": "# 1000", "gold_answer": "#1000", "prompt": "What is the PO number?", "usage": {"input": 199, "metric": "tokens", "output": 7, "processing_time": 0.2009289264678955, "total": 206}, "category": "core"}
6
+ {"number": 5, "llm_response": "Within 30 days of the invoice date.", "gold_answer": "within 30 days of 01/01/2022", "prompt": "When is payment due?", "usage": {"input": 198, "metric": "tokens", "output": 13, "processing_time": 0.35103321075439453, "total": 211}, "category": "core"}
7
+ {"number": 6, "llm_response": "May 3, 2022", "gold_answer": "May 3, 2022", "prompt": "When is payment due?", "usage": {"input": 218, "metric": "tokens", "output": 10, "processing_time": 0.2775113582611084, "total": 228}, "category": "core"}
8
+ {"number": 7, "llm_response": "$4,150.00", "gold_answer": "4150.00", "prompt": "What is the subtotal amount?", "usage": {"input": 220, "metric": "tokens", "output": 10, "processing_time": 0.27822065353393555, "total": 230}, "category": "core"}
9
+ {"number": 8, "llm_response": "$4,565.00", "gold_answer": "4565.00", "prompt": "What is the total amount?", "usage": {"input": 219, "metric": "tokens", "output": 10, "processing_time": 0.2783362865447998, "total": 229}, "category": "core"}
10
+ {"number": 9, "llm_response": "\u202230 boxes of printer paper;\r\n\u202210 printer cartridges;\r\n\u20225 laser printers.", "gold_answer": "\u202230 Boxes of Printer Paper;\n\u202210 Printer Cartridges;\n\u20225 Laser Printers.", "prompt": "What is a list of the purchased items?", "usage": {"input": 222, "metric": "tokens", "output": 25, "processing_time": 0.6605353355407715, "total": 247}, "category": "core"}
11
+ {"number": 10, "llm_response": "234", "gold_answer": "234", "prompt": "What is the invoice number?", "usage": {"input": 220, "metric": "tokens", "output": 4, "processing_time": 0.12884831428527832, "total": 224}, "category": "core"}
12
+ {"number": 11, "llm_response": "ABC Company and Delta Inc.", "gold_answer": "ABC Company and Delta Inc.", "prompt": "What is the name of the two companies?", "usage": {"input": 222, "metric": "tokens", "output": 8, "processing_time": 0.2289586067199707, "total": 230}, "category": "core"}
13
+ {"number": 12, "llm_response": "30", "gold_answer": "30", "prompt": "How many boxes of paper are being purchased?", "usage": {"input": 222, "metric": "tokens", "output": 3, "processing_time": 0.10168671607971191, "total": 225}, "category": "core"}
14
+ {"number": 13, "llm_response": "Due on receipt on May 3, 2022", "gold_answer": "Due on Receipt", "prompt": "What are the payment terms?", "usage": {"input": 219, "metric": "tokens", "output": 16, "processing_time": 0.4317505359649658, "total": 235}, "category": "core"}
15
+ {"number": 14, "llm_response": "8675 River Run Road, Marlington, CT 09392", "gold_answer": "8675 River Run Road, Marlington, CT 09392", "prompt": "What is the address of ABC Company?", "usage": {"input": 221, "metric": "tokens", "output": 19, "processing_time": 0.5074400901794434, "total": 240}, "category": "core"}
16
+ {"number": 15, "llm_response": "March 3, 2022", "gold_answer": "March 3, 2022", "prompt": "What is the date of the invoice?", "usage": {"input": 222, "metric": "tokens", "output": 11, "processing_time": 0.3041517734527588, "total": 233}, "category": "core"}
17
+ {"number": 16, "llm_response": "January 20, 2021", "gold_answer": "January 20, 2021", "prompt": "When was Biden inaugurated?", "usage": {"input": 104, "metric": "tokens", "output": 12, "processing_time": 0.3082435131072998, "total": 116}, "category": "core"}
18
+ {"number": 17, "llm_response": "Donald Trump", "gold_answer": "Donald Trump", "prompt": "Who was Biden's opponent in the 2020 presidential election?", "usage": {"input": 114, "metric": "tokens", "output": 3, "processing_time": 0.0824737548828125, "total": 117}, "category": "core"}
19
+ {"number": 18, "llm_response": "Delaware", "gold_answer": "Delaware", "prompt": "What state is Biden from?", "usage": {"input": 104, "metric": "tokens", "output": 3, "processing_time": 0.08212065696716309, "total": 107}, "category": "core"}
20
+ {"number": 19, "llm_response": "Barack Obama", "gold_answer": "Barack Obama", "prompt": "Who was President when Biden was Vice President?", "usage": {"input": 107, "metric": "tokens", "output": 4, "processing_time": 0.10780763626098633, "total": 111}, "category": "core"}
21
+ {"number": 20, "llm_response": "1. Vivek Murthy;\r\n2. David A. Kessler;\r\n3. Marcella Nunez-Smith.", "gold_answer": "1. former Surgeon General Vivek Murthy;\n2. former FDA commissioner David A. Kessler;\n3. Yale University's Marcella Nunez-Smith.", "prompt": "What is a list of the three people that served as co-chairs of the COVID task force?", "usage": {"input": 362, "metric": "tokens", "output": 34, "processing_time": 0.9184415340423584, "total": 396}, "category": "core"}
22
+ {"number": 21, "llm_response": "Jon Ossoff and Raphael Warnock", "gold_answer": "Jon Ossoff and Raphael Warnock", "prompt": "Who are the two people that won elections in Georgia?", "usage": {"input": 352, "metric": "tokens", "output": 13, "processing_time": 0.38178253173828125, "total": 365}, "category": "core"}
23
+ {"number": 22, "llm_response": "Two-year term", "gold_answer": "Two-year term", "prompt": "What is the length of Raphael Warnock's term?", "usage": {"input": 356, "metric": "tokens", "output": 5, "processing_time": 0.17708158493041992, "total": 361}, "category": "core"}
24
+ {"number": 23, "llm_response": "26,000", "gold_answer": "26,000", "prompt": "How many national guard members were deployed on January 6?", "usage": {"input": 353, "metric": "tokens", "output": 7, "processing_time": 0.2272651195526123, "total": 360}, "category": "core"}
25
+ {"number": 24, "llm_response": "November 23, after Michigan certified its results.", "gold_answer": "November 23", "prompt": "When was the letter of ascertainment issued?", "usage": {"input": 351, "metric": "tokens", "output": 13, "processing_time": 0.37960267066955566, "total": 364}, "category": "core"}
26
+ {"number": 25, "llm_response": "$52.9 billion", "gold_answer": "$52.9 billion", "prompt": "What was Microsoft's revenue in the 3rd quarter?", "usage": {"input": 201, "metric": "tokens", "output": 7, "processing_time": 0.20055770874023438, "total": 208}, "category": "core"}
27
+ {"number": 26, "llm_response": "10%", "gold_answer": "Increased 10%, up 15% in constant currency", "prompt": "What was the improvement in operating income year-to-year?", "usage": {"input": 201, "metric": "tokens", "output": 4, "processing_time": 0.1243734359741211, "total": 205}, "category": "core"}
28
+ {"number": 27, "llm_response": "March 31, 2023", "gold_answer": "March 31, 2023", "prompt": "When did the quarter end?", "usage": {"input": 194, "metric": "tokens", "output": 12, "processing_time": 0.3249344825744629, "total": 206}, "category": "core"}
29
+ {"number": 28, "llm_response": "Focused execution by sales teams and partners in this dynamic environment.", "gold_answer": "Focused execution by our sales teams and partners", "prompt": "According to the CFO, what led to the increase in cloud revenue?", "usage": {"input": 171, "metric": "tokens", "output": 14, "processing_time": 0.36638760566711426, "total": 185}, "category": "core"}
30
+ {"number": 29, "llm_response": "$28.5 billion, up 22% year-over-year.", "gold_answer": "$28.5 billion", "prompt": "What was the amount of Cloud revenue in the quarter?", "usage": {"input": 166, "metric": "tokens", "output": 19, "processing_time": 0.494248628616333, "total": 185}, "category": "core"}
31
+ {"number": 30, "llm_response": "8%", "gold_answer": "10%", "prompt": "What was LinkedIn revenue growth in constant currency?", "usage": {"input": 448, "metric": "tokens", "output": 3, "processing_time": 0.13942933082580566, "total": 451}, "category": "core"}
32
+ {"number": 31, "llm_response": "65.4 million", "gold_answer": "65.4 million", "prompt": "What is the number of Microsoft 365 consumer subscribers?", "usage": {"input": 453, "metric": "tokens", "output": 6, "processing_time": 0.21862244606018066, "total": 459}, "category": "core"}
33
+ {"number": 32, "llm_response": "$22.1 billion", "gold_answer": "$22.1 billion", "prompt": "What was the amount of total revenue in Intelligent Cloud?", "usage": {"input": 451, "metric": "tokens", "output": 7, "processing_time": 0.2449817657470703, "total": 458}, "category": "core"}
34
+ {"number": 33, "llm_response": "1956", "gold_answer": "1956", "prompt": "When was the field of AI founded?", "usage": {"input": 190, "metric": "tokens", "output": 5, "processing_time": 0.14237618446350098, "total": 195}, "category": "core"}
35
+ {"number": 34, "llm_response": "The Church-Turing thesis suggests that a machine, by shuffling symbols as simple as \"0\" and \"1\", could simulate both mathematical deduction and formal reasoning.", "gold_answer": "A machine, by shuffling symbols as simple as '0' and '1' can simulate both mathematical deduction and formal reasoning.", "prompt": "What is the Church-Turing thesis?", "usage": {"input": 191, "metric": "tokens", "output": 38, "processing_time": 0.9781525135040283, "total": 229}, "category": "core"}
36
+ {"number": 35, "llm_response": "1956", "gold_answer": "1943", "prompt": "When was the first paper on AI published?", "usage": {"input": 191, "metric": "tokens", "output": 5, "processing_time": 0.14288997650146484, "total": 196}, "category": "core"}
37
+ {"number": 36, "llm_response": "1956", "gold_answer": "1956", "prompt": "When was the workshop at Dartmouth?", "usage": {"input": 191, "metric": "tokens", "output": 5, "processing_time": 0.1426386833190918, "total": 196}, "category": "core"}
38
+ {"number": 37, "llm_response": "A period when obtaining funding for AI projects was difficult.", "gold_answer": "A period when obtaining funding for AI projects is difficult.", "prompt": "What is an AI winter?", "usage": {"input": 411, "metric": "tokens", "output": 12, "processing_time": 0.3686044216156006, "total": 423}, "category": "core"}
39
+ {"number": 38, "llm_response": "Machines will be capable, within twenty years, of doing any work a man can do.", "gold_answer": "He predicted that machines would be capable of doing any work a man can do within twenty years.", "prompt": "What did Herbert Simon predict?", "usage": {"input": 411, "metric": "tokens", "output": 21, "processing_time": 0.6030068397521973, "total": 432}, "category": "core"}
40
+ {"number": 39, "llm_response": "1987", "gold_answer": "1987.", "prompt": "When did the LISP machine market collapse?", "usage": {"input": 415, "metric": "tokens", "output": 5, "processing_time": 0.19104552268981934, "total": 420}, "category": "core"}
41
+ {"number": 40, "llm_response": "TestCo Software, Inc.", "gold_answer": "TestCo Software, Inc.", "prompt": "What is the name of the Company?", "usage": {"input": 178, "metric": "tokens", "output": 7, "processing_time": 0.19146132469177246, "total": 185}, "category": "core"}
42
+ {"number": 41, "llm_response": "Aphrodite Apollo (\"Executive\") and TestCo Software, Inc. (the \"Company\")", "gold_answer": "Aphrodite Apollo ('Executive') and TestCo Software, Inc. ('Company')", "prompt": "What are the names of the two parties?", "usage": {"input": 179, "metric": "tokens", "output": 24, "processing_time": 0.6227481365203857, "total": 203}, "category": "core"}
43
+ {"number": 42, "llm_response": "April 16, 2012", "gold_answer": "April 16, 2012.", "prompt": "When will employment start?", "usage": {"input": 175, "metric": "tokens", "output": 12, "processing_time": 0.3175368309020996, "total": 187}, "category": "core"}
44
+ {"number": 43, "llm_response": "Customer", "gold_answer": "Customer", "prompt": "Who owns the intellectual property?", "usage": {"input": 164, "metric": "tokens", "output": 2, "processing_time": 0.06323862075805664, "total": 166}, "category": "core"}
45
+ {"number": 44, "llm_response": "30 days written notice", "gold_answer": "30 days", "prompt": "What is the notice period to terminate for convenience?", "usage": {"input": 151, "metric": "tokens", "output": 6, "processing_time": 0.1645066738128662, "total": 157}, "category": "core"}
46
+ {"number": 45, "llm_response": "30 days written notice, if not cured within 15 days' notice of such breach.", "gold_answer": "If the breach is not cured within 15 days of notice of the breach.", "prompt": "When can termination after a material breach occur?", "usage": {"input": 151, "metric": "tokens", "output": 23, "processing_time": 0.5944380760192871, "total": 174}, "category": "core"}
47
+ {"number": 46, "llm_response": "Yes, either party may terminate for convenience with 30 days written notice.", "gold_answer": "Yes, by either party with 30 days written notice.", "prompt": "Can the agreement be terminated?", "usage": {"input": 147, "metric": "tokens", "output": 18, "processing_time": 0.46987128257751465, "total": 165}, "category": "core"}
48
+ {"number": 47, "llm_response": "Senior Vice President, Event Planning (\"SVP\") of the Employer's Workforce Optimization Division.", "gold_answer": "Senior Vice President, Event Planning ('SVP') of the Workforce Optimization Division.", "prompt": "What is the executive's role?", "usage": {"input": 380, "metric": "tokens", "output": 26, "processing_time": 0.7183167934417725, "total": 406}, "category": "core"}
49
+ {"number": 48, "llm_response": "$200,000 annual rate", "gold_answer": "$200,000", "prompt": "What is the executive's base salary?", "usage": {"input": 190, "metric": "tokens", "output": 11, "processing_time": 0.29427456855773926, "total": 201}, "category": "core"}
50
+ {"number": 49, "llm_response": "Section 2.2", "gold_answer": "Section 2.2", "prompt": "What section defines the base salary?", "usage": {"input": 188, "metric": "tokens", "output": 6, "processing_time": 0.16805577278137207, "total": 194}, "category": "core"}
51
+ {"number": 50, "llm_response": "Annually", "gold_answer": "Annually", "prompt": "How often will the Board review the salary?", "usage": {"input": 190, "metric": "tokens", "output": 3, "processing_time": 0.09174799919128418, "total": 193}, "category": "core"}
52
+ {"number": 51, "llm_response": "State of Massachusetts", "gold_answer": "State of Massachusetts, except for Section 18(a)", "prompt": "What is the governing law?", "usage": {"input": 320, "metric": "tokens", "output": 4, "processing_time": 0.14874696731567383, "total": 324}, "category": "core"}
53
+ {"number": 52, "llm_response": "State of Delaware", "gold_answer": "State of Delaware", "prompt": "What law governs section 18(a)?", "usage": {"input": 325, "metric": "tokens", "output": 5, "processing_time": 0.17470622062683105, "total": 330}, "category": "core"}
54
+ {"number": 53, "llm_response": "Section 19", "gold_answer": "Section 19", "prompt": "What section of the agreement defines the governing law?", "usage": {"input": 324, "metric": "tokens", "output": 5, "processing_time": 0.1734468936920166, "total": 329}, "category": "core"}
55
+ {"number": 54, "llm_response": "195.12 points, or 0.76%", "gold_answer": "195.12 points", "prompt": "What was the gain on the DOW on Friday?", "usage": {"input": 528, "metric": "tokens", "output": 16, "processing_time": 0.4952065944671631, "total": 544}, "category": "core"}
56
+ {"number": 55, "llm_response": "438,000", "gold_answer": "438,000 jobs", "prompt": "How many new jobs were added in August?", "usage": {"input": 526, "metric": "tokens", "output": 8, "processing_time": 0.2885923385620117, "total": 534}, "category": "core"}
57
+ {"number": 56, "llm_response": "273,000", "gold_answer": "273,000 jobs", "prompt": "How many jobs were predicted by economists?", "usage": {"input": 526, "metric": "tokens", "output": 8, "processing_time": 0.28862786293029785, "total": 534}, "category": "core"}
58
+ {"number": 57, "llm_response": "1.35%", "gold_answer": "Up 1.35%", "prompt": "What was the percentage in increase in the Nasdaq at closing?", "usage": {"input": 531, "metric": "tokens", "output": 6, "processing_time": 0.23895788192749023, "total": 537}, "category": "core"}
59
+ {"number": 58, "llm_response": "Vibrant Industries Capital Advisors", "gold_answer": "Vibrant Industries Capital Advisors", "prompt": "Where does Margaret Jones work?", "usage": {"input": 523, "metric": "tokens", "output": 9, "processing_time": 0.315507173538208, "total": 532}, "category": "core"}
60
+ {"number": 59, "llm_response": "4.58%", "gold_answer": "4.58%", "prompt": "What is the current rate on 10-year treasuries?", "usage": {"input": 532, "metric": "tokens", "output": 6, "processing_time": 0.23658227920532227, "total": 538}, "category": "core"}
61
+ {"number": 60, "llm_response": "$350,000.", "gold_answer": "$350,000", "prompt": "What is the CEO's salary?", "usage": {"input": 49, "metric": "tokens", "output": 10, "processing_time": 0.257232666015625, "total": 59}, "category": "core"}
62
+ {"number": 61, "llm_response": "$33.", "gold_answer": "$33", "prompt": "What is the stock price on Thursday?", "usage": {"input": 58, "metric": "tokens", "output": 5, "processing_time": 0.13238906860351562, "total": 63}, "category": "core"}
63
+ {"number": 62, "llm_response": "61 years old.", "gold_answer": "61", "prompt": "What is Bob's age?", "usage": {"input": 42, "metric": "tokens", "output": 6, "processing_time": 0.15611839294433594, "total": 48}, "category": "core"}
64
+ {"number": 63, "llm_response": "One Red River Road, Stamford, Connecticut 08234.", "gold_answer": "One Red River Road, Stamford, Connecticut 08234", "prompt": "What is the address of Red River Industries?", "usage": {"input": 128, "metric": "tokens", "output": 18, "processing_time": 0.46131014823913574, "total": 146}, "category": "core"}
65
+ {"number": 64, "llm_response": "Simmons Corp.", "gold_answer": "Simmons Corp", "prompt": "At which company did Brian serve as head of Northeast Sales?", "usage": {"input": 75, "metric": "tokens", "output": 6, "processing_time": 0.15828442573547363, "total": 81}, "category": "core"}
66
+ {"number": 65, "llm_response": "Vice President of Sales", "gold_answer": "Vice President of Sales", "prompt": "What is Mr. Williams role at Washtec Industries?", "usage": {"input": 75, "metric": "tokens", "output": 6, "processing_time": 0.15847539901733398, "total": 81}, "category": "core"}
67
+ {"number": 66, "llm_response": "101% increase in revenue from the previous year.", "gold_answer": "Up 101%", "prompt": "What was the increase in revenue from the previous year?", "usage": {"input": 565, "metric": "tokens", "output": 13, "processing_time": 0.4236576557159424, "total": 578}, "category": "core"}
68
+ {"number": 67, "llm_response": "$13.51 billion", "gold_answer": "$13.51 billion", "prompt": "What was the revenue in second quarter?", "usage": {"input": 562, "metric": "tokens", "output": 8, "processing_time": 0.2929270267486572, "total": 570}, "category": "core"}
69
+ {"number": 68, "llm_response": "7.5 million shares", "gold_answer": "7.5 million shares", "prompt": "How many shares were repurchased in second quarter?", "usage": {"input": 565, "metric": "tokens", "output": 6, "processing_time": 0.24221396446228027, "total": 571}, "category": "core"}
70
+ {"number": 69, "llm_response": "Jensen Huang", "gold_answer": "Jensen Huang", "prompt": "Who is the CEO of Nvidia?", "usage": {"input": 563, "metric": "tokens", "output": 5, "processing_time": 0.21592926979064941, "total": 568}, "category": "core"}
71
+ {"number": 70, "llm_response": "141% increase.", "gold_answer": "Up 141% from Q1", "prompt": "What was the percentage increase in data center revenue compared to the first quarter?", "usage": {"input": 569, "metric": "tokens", "output": 7, "processing_time": 0.2685680389404297, "total": 576}, "category": "core"}
72
+ {"number": 71, "llm_response": "$2.48", "gold_answer": "$2.48", "prompt": "What is GAAP earnings per share for the quarter?", "usage": {"input": 565, "metric": "tokens", "output": 6, "processing_time": 0.2422168254852295, "total": 571}, "category": "core"}
73
+ {"number": 72, "llm_response": "September 28, 2023", "gold_answer": "September 28, 2023", "prompt": "When will the next dividend be paid?", "usage": {"input": 563, "metric": "tokens", "output": 12, "processing_time": 0.3999369144439697, "total": 575}, "category": "core"}
74
+ {"number": 73, "llm_response": "148%", "gold_answer": "Up 148%", "prompt": "What is the percentage increase in non-GAAP earnings from the previous quarter?", "usage": {"input": 570, "metric": "tokens", "output": 5, "processing_time": 0.21615314483642578, "total": 575}, "category": "core"}
75
+ {"number": 74, "llm_response": "Yes, 71.5% > 70%.", "gold_answer": "Yes, between 71.5% and 72.%", "prompt": "Is the expected gross margin greater than 70%", "usage": {"input": 325, "metric": "tokens", "output": 14, "processing_time": 0.40485382080078125, "total": 339}, "category": "core"}
76
+ {"number": 75, "llm_response": "$16.00 billion, plus or minus 2%.", "gold_answer": "$16.00 billion, plus or minus 2%.", "prompt": "What is the expected revenue for third quarter?", "usage": {"input": 323, "metric": "tokens", "output": 16, "processing_time": 0.4576704502105713, "total": 339}, "category": "core"}
77
+ {"number": 76, "llm_response": "The NVIDIA GH200 Grace Hopper Superchip for complex AI and HPC workloads.", "gold_answer": "NVIDIA GH200 Grace Hopper Superchip", "prompt": "Which new product is shipping in the quarter?", "usage": {"input": 323, "metric": "tokens", "output": 24, "processing_time": 0.6656534671783447, "total": 347}, "category": "core"}
78
+ {"number": 77, "llm_response": "14.5% plus or minus 1%", "gold_answer": "14.5%, plus or minor 1%", "prompt": "What is the forecast tax rate?", "usage": {"input": 321, "metric": "tokens", "output": 13, "processing_time": 0.37952518463134766, "total": 334}, "category": "core"}
79
+ {"number": 78, "llm_response": "$2.00 billion", "gold_answer": "$2.00 billion", "prompt": "What is the amount of expected non-GAAP operating expense?", "usage": {"input": 327, "metric": "tokens", "output": 7, "processing_time": 0.22735977172851562, "total": 334}, "category": "core"}
80
+ {"number": 79, "llm_response": "$2.95 billion", "gold_answer": "$2.95 billion", "prompt": "What is the amount of expected GAAP operating expense?", "usage": {"input": 325, "metric": "tokens", "output": 7, "processing_time": 0.23014497756958008, "total": 332}, "category": "core"}
81
+ {"number": 80, "llm_response": "$2.49 billion, up 11% from the previous quarter and up 22% from the prior year.", "gold_answer": "$2.49 billion", "prompt": "What was gaming revenue in the quarter?", "usage": {"input": 406, "metric": "tokens", "output": 28, "processing_time": 0.7810342311859131, "total": 434}, "category": "core"}
82
+ {"number": 81, "llm_response": "$379 million, up 28% from the previous quarter, and down 24% from a year ago.", "gold_answer": "$379 million", "prompt": "What was professional visualization revenue in the quarter?", "usage": {"input": 408, "metric": "tokens", "output": 28, "processing_time": 0.7880549430847168, "total": 436}, "category": "core"}
83
+ {"number": 82, "llm_response": "28% increase from the previous quarter.", "gold_answer": "Up 28%", "prompt": "What was the increase in professional visualization revenue quarter-to-quarter?", "usage": {"input": 414, "metric": "tokens", "output": 10, "processing_time": 0.31851625442504883, "total": 424}, "category": "core"}
84
+ {"number": 83, "llm_response": "Pixar, Adobe, Apple and Autodesk.", "gold_answer": "Pixar, Adobe, Apple, Autodesk and NVIDIA", "prompt": "Which companies are participating in the Alliance for OpenUSD?", "usage": {"input": 410, "metric": "tokens", "output": 14, "processing_time": 0.42180943489074707, "total": 424}, "category": "core"}
85
+ {"number": 84, "llm_response": "35", "gold_answer": "35", "prompt": "How many DLSS games were added?", "usage": {"input": 406, "metric": "tokens", "output": 3, "processing_time": 0.13766694068908691, "total": 409}, "category": "core"}
86
+ {"number": 85, "llm_response": "$299", "gold_answer": "$299", "prompt": "What is the lowest price for GeForce RTX 4060 family?", "usage": {"input": 415, "metric": "tokens", "output": 5, "processing_time": 0.1909623146057129, "total": 420}, "category": "core"}
87
+ {"number": 86, "llm_response": "MediaTek", "gold_answer": "MediaTek", "prompt": "Who is NVIDIA's partner for the driver assistance system?", "usage": {"input": 127, "metric": "tokens", "output": 4, "processing_time": 0.10899734497070312, "total": 131}, "category": "core"}
88
+ {"number": 87, "llm_response": "Refinitiv", "gold_answer": "Refinitiv", "prompt": "What is the former name of LSEG?", "usage": {"input": 472, "metric": "tokens", "output": 4, "processing_time": 0.16846275329589844, "total": 476}, "category": "core"}
89
+ {"number": 88, "llm_response": "Jerome Powell", "gold_answer": "Jerome Powell", "prompt": "Who is the chairman of the Federal Reserve?", "usage": {"input": 471, "metric": "tokens", "output": 6, "processing_time": 0.22310113906860352, "total": 477}, "category": "core"}
90
+ {"number": 89, "llm_response": "Japan", "gold_answer": "Japan", "prompt": "Which country had a trade surplus in September?", "usage": {"input": 170, "metric": "tokens", "output": 3, "processing_time": 0.09005618095397949, "total": 173}, "category": "core"}
91
+ {"number": 90, "llm_response": "16.3% year-on-year decline, compared to the same period last year.", "gold_answer": "Down 16.3%", "prompt": "What was the decline in imports in September in Japan?", "usage": {"input": 171, "metric": "tokens", "output": 21, "processing_time": 0.5461428165435791, "total": 192}, "category": "core"}
92
+ {"number": 91, "llm_response": "$416.6 million", "gold_answer": "62.4 billion yen ($416.6 million)", "prompt": "What was the trade surplus?", "usage": {"input": 167, "metric": "tokens", "output": 8, "processing_time": 0.21625518798828125, "total": 175}, "category": "core"}
93
+ {"number": 92, "llm_response": "$416.6 million", "gold_answer": "Deficit of 42.5 billion yen.", "prompt": "What did economists expect for the trade surplus amount?", "usage": {"input": 172, "metric": "tokens", "output": 8, "processing_time": 0.21763205528259277, "total": 180}, "category": "core"}
94
+ {"number": 93, "llm_response": "4.3% year on year", "gold_answer": "Up 4.3%", "prompt": "What was the increase in exports?", "usage": {"input": 167, "metric": "tokens", "output": 8, "processing_time": 0.22057485580444336, "total": 175}, "category": "core"}
95
+ {"number": 94, "llm_response": "S&P 500's bear market bottom of 3,577.", "gold_answer": "3,577", "prompt": "What was the S&P trading level one year ago?", "usage": {"input": 748, "metric": "tokens", "output": 21, "processing_time": 0.6594524383544922, "total": 769}, "category": "core"}
96
+ {"number": 95, "llm_response": "3.2%", "gold_answer": "3.2%", "prompt": "What was the cost of living adjustment for 2024?", "usage": {"input": 751, "metric": "tokens", "output": 5, "processing_time": 0.24117422103881836, "total": 756}, "category": "core"}
97
+ {"number": 96, "llm_response": "Buy", "gold_answer": "Buy", "prompt": "What is Bank of America's rating on Target?", "usage": {"input": 747, "metric": "tokens", "output": 3, "processing_time": 0.18806076049804688, "total": 750}, "category": "core"}
98
+ {"number": 97, "llm_response": "Buy rating.", "gold_answer": "Buy", "prompt": "What is Bank of Americas' rating on Snowflake?", "usage": {"input": 749, "metric": "tokens", "output": 5, "processing_time": 0.24349713325500488, "total": 754}, "category": "core"}
99
+ {"number": 98, "llm_response": "$16 per share, down from $17.", "gold_answer": "$16", "prompt": "What is Barclay's new price target on UTZ?", "usage": {"input": 751, "metric": "tokens", "output": 13, "processing_time": 0.45447397232055664, "total": 764}, "category": "core"}
100
+ {"number": 99, "llm_response": "133 million euros, down 69% year-on-year.", "gold_answer": "133 million euros.", "prompt": "What was third quarter profit?", "usage": {"input": 138, "metric": "tokens", "output": 19, "processing_time": 0.4968373775482178, "total": 157}, "category": "core"}
101
+ {"number": 100, "llm_response": "Not Found.", "gold_answer": "Not Found", "prompt": "What is the purchase order number?", "usage": {"input": 220, "metric": "tokens", "output": 4, "processing_time": 0.1279616355895996, "total": 224}, "category": "not_found_classification"}
102
+ {"number": 101, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "Who is the EVP of Human Resources?", "usage": {"input": 164, "metric": "tokens", "output": 4, "processing_time": 0.11468315124511719, "total": 168}, "category": "not_found_classification"}
103
+ {"number": 102, "llm_response": "Not Found.", "gold_answer": "Not Found", "prompt": "What is the annual bonus amount?", "usage": {"input": 188, "metric": "tokens", "output": 4, "processing_time": 0.11833715438842773, "total": 192}, "category": "not_found_classification"}
104
+ {"number": 103, "llm_response": "Not Found.", "gold_answer": "Not Found", "prompt": "What is the address of Simmons Technologies?", "usage": {"input": 127, "metric": "tokens", "output": 4, "processing_time": 0.10862851142883301, "total": 131}, "category": "not_found_classification"}
105
+ {"number": 104, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "What was the amount of free cash flow in the quarter?", "usage": {"input": 566, "metric": "tokens", "output": 4, "processing_time": 0.1891465187072754, "total": 570}, "category": "not_found_classification"}
106
+ {"number": 105, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "What is the expected revenue for fourth quarter?", "usage": {"input": 323, "metric": "tokens", "output": 4, "processing_time": 0.15070319175720215, "total": 327}, "category": "not_found_classification"}
107
+ {"number": 106, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "When was the A100 chip released?", "usage": {"input": 324, "metric": "tokens", "output": 4, "processing_time": 0.15001320838928223, "total": 328}, "category": "not_found_classification"}
108
+ {"number": 107, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "What was gaming revenue for the quarter?", "usage": {"input": 121, "metric": "tokens", "output": 4, "processing_time": 0.10767674446105957, "total": 125}, "category": "not_found_classification"}
109
+ {"number": 108, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "What was third quarter revenue?", "usage": {"input": 119, "metric": "tokens", "output": 4, "processing_time": 0.1079871654510498, "total": 123}, "category": "not_found_classification"}
110
+ {"number": 109, "llm_response": "Not Found.", "gold_answer": "Not Found", "prompt": "What is gaming revenue for the full year FY24?", "usage": {"input": 411, "metric": "tokens", "output": 4, "processing_time": 0.16482186317443848, "total": 415}, "category": "not_found_classification"}
111
+ {"number": 110, "llm_response": "Elon Musk", "gold_answer": "Not Found.", "prompt": "Who is the CEO of Netflix?", "usage": {"input": 469, "metric": "tokens", "output": 5, "processing_time": 0.19659137725830078, "total": 474}, "category": "not_found_classification"}
112
+ {"number": 111, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "What was China's trade balance in September?", "usage": {"input": 170, "metric": "tokens", "output": 4, "processing_time": 0.11531352996826172, "total": 174}, "category": "not_found_classification"}
113
+ {"number": 112, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "What was Japan's trade balance in March?", "usage": {"input": 170, "metric": "tokens", "output": 4, "processing_time": 0.1148674488067627, "total": 174}, "category": "not_found_classification"}
114
+ {"number": 113, "llm_response": "Not Found.", "gold_answer": "Not Found", "prompt": "What was the cost of living adjustment for 2023?", "usage": {"input": 751, "metric": "tokens", "output": 4, "processing_time": 0.21527647972106934, "total": 755}, "category": "not_found_classification"}
115
+ {"number": 114, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "When is TJX reporting earnings?", "usage": {"input": 744, "metric": "tokens", "output": 4, "processing_time": 0.21236896514892578, "total": 748}, "category": "not_found_classification"}
116
+ {"number": 115, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "How many were laptops were purchased?", "usage": {"input": 201, "metric": "tokens", "output": 4, "processing_time": 0.12601470947265625, "total": 205}, "category": "not_found_classification"}
117
+ {"number": 116, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "Who is the secretary of agriculture?", "usage": {"input": 105, "metric": "tokens", "output": 4, "processing_time": 0.10798311233520508, "total": 109}, "category": "not_found_classification"}
118
+ {"number": 117, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "What is the executive's salary?", "usage": {"input": 380, "metric": "tokens", "output": 4, "processing_time": 0.15429472923278809, "total": 384}, "category": "not_found_classification"}
119
+ {"number": 118, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "What is the 4th quarter revenue of Broadcom?", "usage": {"input": 566, "metric": "tokens", "output": 4, "processing_time": 0.190871000289917, "total": 570}, "category": "not_found_classification"}
120
+ {"number": 119, "llm_response": "Not Found.", "gold_answer": "Not Found.", "prompt": "How old is Maribeth?", "usage": {"input": 43, "metric": "tokens", "output": 4, "processing_time": 0.11010956764221191, "total": 47}, "category": "not_found_classification"}
121
+ {"number": 120, "llm_response": "Yes.", "gold_answer": "Yes, by more than 22%.", "prompt": "Has the S&P increased over the last year?", "usage": {"input": 747, "metric": "tokens", "output": 3, "processing_time": 0.19014811515808105, "total": 750}, "category": "boolean_mc"}
122
+ {"number": 121, "llm_response": "No.", "gold_answer": "No, Chipotle is increasing prices.", "prompt": "Is Chipotle lowering prices?", "usage": {"input": 745, "metric": "tokens", "output": 3, "processing_time": 0.189955472946167, "total": 748}, "category": "boolean_mc"}
123
+ {"number": 122, "llm_response": "No, Barclay's lowered its price target on KHC to $38.", "gold_answer": "No, it is lowering the target from $38 to $36.", "prompt": "Is Barclay's raising its price target on KHC?", "usage": {"input": 750, "metric": "tokens", "output": 20, "processing_time": 0.634990930557251, "total": 770}, "category": "boolean_mc"}
124
+ {"number": 123, "llm_response": "No, 4.98 billion euros < 5 billion euros.", "gold_answer": "No.", "prompt": "Were third quarter sales more than 5 billion euros?", "usage": {"input": 145, "metric": "tokens", "output": 18, "processing_time": 0.4678785800933838, "total": 163}, "category": "boolean_mc"}
125
+ {"number": 124, "llm_response": "Yes.", "gold_answer": "Yes.", "prompt": "Did the trade surplus beat expectations?", "usage": {"input": 168, "metric": "tokens", "output": 3, "processing_time": 0.0896613597869873, "total": 171}, "category": "boolean_mc"}
126
+ {"number": 125, "llm_response": "No, Dow Jones futures declined 73 points, or 0.2%.", "gold_answer": "No, down 73 points.", "prompt": "Did Dow Jones futures increase?", "usage": {"input": 469, "metric": "tokens", "output": 19, "processing_time": 0.5578157901763916, "total": 488}, "category": "boolean_mc"}
127
+ {"number": 126, "llm_response": "No, the yield on the 10-year is 4.9%.", "gold_answer": "Yes, it topped 4.9%.", "prompt": "Is the yield on the 10-year above 4.8%?", "usage": {"input": 479, "metric": "tokens", "output": 18, "processing_time": 0.5327181816101074, "total": 497}, "category": "boolean_mc"}
128
+ {"number": 127, "llm_response": "No, the Nasdaq Composite was the underperformer, off 1.6%.", "gold_answer": "No, it was down 1.6%.", "prompt": "Did the Nasdaq Composite increase?", "usage": {"input": 471, "metric": "tokens", "output": 21, "processing_time": 0.6085350513458252, "total": 492}, "category": "boolean_mc"}
129
+ {"number": 128, "llm_response": "No, revenue was down 15%.", "gold_answer": "No, it was down 15% from the previous quarter.", "prompt": "Did automotive revenue increase in the current quarter compared to last quarter?", "usage": {"input": 127, "metric": "tokens", "output": 10, "processing_time": 0.26063990592956543, "total": 137}, "category": "boolean_mc"}
130
+ {"number": 129, "llm_response": "Yes, up 15%.", "gold_answer": "Yes, up 15%.", "prompt": "Did automotive revenue increase year-over-year?", "usage": {"input": 124, "metric": "tokens", "output": 8, "processing_time": 0.20961689949035645, "total": 132}, "category": "boolean_mc"}
131
+ {"number": 130, "llm_response": "No, $253 million < $250 million.", "gold_answer": "Yes", "prompt": "Was automotive revenue more than $250 million?", "usage": {"input": 125, "metric": "tokens", "output": 15, "processing_time": 0.38651561737060547, "total": 140}, "category": "boolean_mc"}
132
+ {"number": 131, "llm_response": "No.", "gold_answer": "No, it was up 11% quarter-to-quarter and 22% year-to-year.", "prompt": "Did gaming revenue decrease?", "usage": {"input": 403, "metric": "tokens", "output": 3, "processing_time": 0.13942241668701172, "total": 406}, "category": "boolean_mc"}
133
+ {"number": 132, "llm_response": "Yes, 101% > 50%.", "gold_answer": "Yes, it increased 101% year-to-year.", "prompt": "Did revenue increase more than 50% year-to-year?", "usage": {"input": 569, "metric": "tokens", "output": 13, "processing_time": 0.430039644241333, "total": 582}, "category": "boolean_mc"}
134
+ {"number": 133, "llm_response": "Yes, $3.28 billion > $3.00 billion.", "gold_answer": "Yes, $3.38 billion was returned", "prompt": "Was more than $3 billion returned to shareholders in the quarter?", "usage": {"input": 568, "metric": "tokens", "output": 17, "processing_time": 0.5278074741363525, "total": 585}, "category": "boolean_mc"}
135
+ {"number": 134, "llm_response": "Not Found.", "gold_answer": "No, it decreased by 28%", "prompt": "Did Windows OEM revenue increase?", "usage": {"input": 321, "metric": "tokens", "output": 4, "processing_time": 0.15083742141723633, "total": 325}, "category": "boolean_mc"}
136
+ {"number": 135, "llm_response": "No.", "gold_answer": "No, net sales declined 20% year-on-year, and the company has described the market environment as 'challenging.'", "prompt": "Are Nokia's products performing well in the market?", "usage": {"input": 145, "metric": "tokens", "output": 3, "processing_time": 0.08874106407165527, "total": 148}, "category": "boolean_mc"}
137
+ {"number": 136, "llm_response": "Yes.", "gold_answer": "Yes, net sales declined 20% year-on-year.", "prompt": "Is Nokia having trouble with sales?", "usage": {"input": 141, "metric": "tokens", "output": 3, "processing_time": 0.09184384346008301, "total": 144}, "category": "boolean_mc"}
138
+ {"number": 137, "llm_response": "No.", "gold_answer": "No, exports to Asia decreased for the last nine months.", "prompt": "Are Japan's exports to Asia increasing?", "usage": {"input": 169, "metric": "tokens", "output": 3, "processing_time": 0.09014630317687988, "total": 172}, "category": "boolean_mc"}
139
+ {"number": 138, "llm_response": "Yes, exports were up 4.3% year on year.", "gold_answer": "Yes, by 4.3% year to year.", "prompt": "Are Japan's total exports increasing?", "usage": {"input": 168, "metric": "tokens", "output": 15, "processing_time": 0.3937687873840332, "total": 183}, "category": "boolean_mc"}
140
+ {"number": 139, "llm_response": "No.", "gold_answer": "No, the base salary is $200,000.", "prompt": "Is the executive's base salary $250,000?", "usage": {"input": 197, "metric": "tokens", "output": 3, "processing_time": 0.1010127067565918, "total": 200}, "category": "boolean_mc"}
141
+ {"number": 140, "llm_response": "$253 million + $100 million = $353 million.", "gold_answer": "$353 million", "prompt": "If automotive revenue increases by $100 million in third quarter, what will be the amount?", "usage": {"input": 134, "metric": "tokens", "output": 19, "processing_time": 0.4968092441558838, "total": 153}, "category": "math_basic"}
142
+ {"number": 141, "llm_response": "$14 + $2 = $16.", "gold_answer": "$16", "prompt": "If the stock increases by $2, what is the new price?", "usage": {"input": 33, "metric": "tokens", "output": 12, "processing_time": 0.30364370346069336, "total": 45}, "category": "math_basic"}
143
+ {"number": 142, "llm_response": "$12 - $3 = $9. The new price is $9.", "gold_answer": "$9", "prompt": "If the stock decreases by $3, what is the new price?", "usage": {"input": 41, "metric": "tokens", "output": 19, "processing_time": 0.4807167053222656, "total": 60}, "category": "math_basic"}
144
+ {"number": 143, "llm_response": "January 15, 2019.", "gold_answer": "January 15, 2019", "prompt": "What is the date when the loan will expire?", "usage": {"input": 46, "metric": "tokens", "output": 13, "processing_time": 0.3326447010040283, "total": 59}, "category": "math_basic"}
145
+ {"number": 144, "llm_response": "37 + 10 = 47. Bryan is now 47 years old.", "gold_answer": "47 years old.", "prompt": "If the year is now 2022, how old is Bryan now?", "usage": {"input": 40, "metric": "tokens", "output": 22, "processing_time": 0.5623486042022705, "total": 62}, "category": "math_basic"}
146
+ {"number": 145, "llm_response": "$425,000 + $25,000 = $450,000.", "gold_answer": "$450,000", "prompt": "What is the amount of the executive's new salary?", "usage": {"input": 53, "metric": "tokens", "output": 27, "processing_time": 0.6856160163879395, "total": 80}, "category": "math_basic"}
147
+ {"number": 146, "llm_response": "January 15, 3 days after the invoice was issued on January 12.", "gold_answer": "January 15", "prompt": "When is the last day to pay the invoice?", "usage": {"input": 45, "metric": "tokens", "output": 22, "processing_time": 0.5589051246643066, "total": 67}, "category": "math_basic"}
148
+ {"number": 147, "llm_response": "1,000 X 2 = 2,000.", "gold_answer": "2,000", "prompt": "How many shares traded on Wednesday?", "usage": {"input": 51, "metric": "tokens", "output": 17, "processing_time": 0.4359462261199951, "total": 68}, "category": "math_basic"}
149
+ {"number": 148, "llm_response": "$1200 X 50% = $600. The new rental price will be $1200 + $600 = $1800.", "gold_answer": "$1800", "prompt": "If the rent increased by 50%, what is the new rental price?", "usage": {"input": 44, "metric": "tokens", "output": 41, "processing_time": 1.0360450744628906, "total": 85}, "category": "math_basic"}
150
+ {"number": 149, "llm_response": "$200,000 X 50% = $100,000.", "gold_answer": "$100,000", "prompt": "What is the amount of the target bonus?", "usage": {"input": 54, "metric": "tokens", "output": 24, "processing_time": 0.6074721813201904, "total": 78}, "category": "math_basic"}
151
+ {"number": 150, "llm_response": "1. Liam - 41 years old;\r\n2. Myra - 23 years old;\r\n3. Ashish - 27 years old;\r\n4. Francois - 29 years old.", "gold_answer": "1. Liam - 41;\n2. Francois - 29;\n3. Ashish - 27;\n4. Myra - 23.", "prompt": "What is a list of the people ranked in order of age, from oldest to youngest?", "usage": {"input": 64, "metric": "tokens", "output": 52, "processing_time": 1.3145341873168945, "total": 116}, "category": "math_basic"}
152
+ {"number": 151, "llm_response": "John is 47 years old, and Elizabeth is 35 years old, so John is older.", "gold_answer": "John", "prompt": "Who is older - Elizabeth or John?", "usage": {"input": 34, "metric": "tokens", "output": 23, "processing_time": 0.5810141563415527, "total": 57}, "category": "math_basic"}
153
+ {"number": 152, "llm_response": "Chocolate - $3.25.", "gold_answer": "Chocolate - $3.25", "prompt": "Which item has the lowest price?", "usage": {"input": 56, "metric": "tokens", "output": 10, "processing_time": 0.25815415382385254, "total": 66}, "category": "math_basic"}
154
+ {"number": 153, "llm_response": "Coffee - $5.50.", "gold_answer": "Cheese - $6.25", "prompt": "Which item has the highest price?", "usage": {"input": 56, "metric": "tokens", "output": 11, "processing_time": 0.2836596965789795, "total": 67}, "category": "math_basic"}
155
+ {"number": 154, "llm_response": "No, chocolate is $3.25 and coffee is $5.50.", "gold_answer": "No, chocolate has a lower price than coffee.", "prompt": "Does chocolate have a higher price than coffee?", "usage": {"input": 54, "metric": "tokens", "output": 19, "processing_time": 0.48618507385253906, "total": 73}, "category": "math_basic"}
156
+ {"number": 155, "llm_response": "Nasdaq 100 futures.", "gold_answer": "Nasdaq 100 futures, up 63 points.", "prompt": "Which stock index increased by the most points yesterday?", "usage": {"input": 105, "metric": "tokens", "output": 12, "processing_time": 0.3100717067718506, "total": 117}, "category": "math_basic"}
157
+ {"number": 156, "llm_response": "Nasdaq 100 futures, up 0.5%.", "gold_answer": "S&P 500 futures futures, up 1.2%.", "prompt": "Which stock index increased by the highest percentage yesterday?", "usage": {"input": 105, "metric": "tokens", "output": 18, "processing_time": 0.4607834815979004, "total": 123}, "category": "math_basic"}
158
+ {"number": 157, "llm_response": "Red Dog LLC - $61.", "gold_answer": "River Industries - $53.", "prompt": "Which stock has the highest price?", "usage": {"input": 94, "metric": "tokens", "output": 9, "processing_time": 0.23327231407165527, "total": 103}, "category": "math_basic"}
159
+ {"number": 158, "llm_response": "$19 + $2 = $21.", "gold_answer": "$21", "prompt": "If Smithson stock increases by $2, what is the new price?", "usage": {"input": 89, "metric": "tokens", "output": 12, "processing_time": 0.30855560302734375, "total": 101}, "category": "math_basic"}
160
+ {"number": 159, "llm_response": "PO 1993 - $87,000.", "gold_answer": "PO 1993", "prompt": "Which PO number has the smallest value?", "usage": {"input": 127, "metric": "tokens", "output": 16, "processing_time": 0.4140019416809082, "total": 143}, "category": "math_basic"}
161
+ {"number": 160, "llm_response": "(C) $17.5 billion.", "gold_answer": "(D) $28.5 billion", "prompt": "What was the amount of Cloud revenue in the quarter - (A) $52.9 billion, (B) $18.3 billion, (C) $17.5 billion, or (D) $28.5 billion?", "usage": {"input": 709, "metric": "tokens", "output": 11, "processing_time": 0.39849042892456055, "total": 720}, "category": "complex_qa"}
162
+ {"number": 161, "llm_response": "(B) TestCo Software.", "gold_answer": "(B) TestCo Software.", "prompt": "What is the name of the company - (A) Microsoft, (B) TestCo Software, (C) Aphrodite Apollo, or (D) Executive Employment Agreement?", "usage": {"input": 210, "metric": "tokens", "output": 8, "processing_time": 0.22780966758728027, "total": 218}, "category": "complex_qa"}
163
+ {"number": 162, "llm_response": "(D) $10,000.", "gold_answer": "(D) $10,000.", "prompt": "What is the price for the services of the Quality Assurance Manager - (A) $1,000, (B) $7500, (C) $22,500, or (D) $10,000?", "usage": {"input": 249, "metric": "tokens", "output": 12, "processing_time": 0.3366739749908447, "total": 261}, "category": "complex_qa"}
164
+ {"number": 163, "llm_response": "(C) 14%.", "gold_answer": "(C) 14%.", "prompt": "What was the percentage increase in diluted earnings per share in constant currency - (A) 10%, (B) 7%, (C) 14%, or (D) 15%?", "usage": {"input": 233, "metric": "tokens", "output": 8, "processing_time": 0.23274707794189453, "total": 241}, "category": "complex_qa"}
165
+ {"number": 164, "llm_response": "(B) 69%.", "gold_answer": "(B) 69%.", "prompt": "What is the rate of decline in profit - (A) 20%, (B) 69%, (C) 68%, (D) 32%, or (E) 133 million?", "usage": {"input": 179, "metric": "tokens", "output": 8, "processing_time": 0.21804046630859375, "total": 187}, "category": "complex_qa"}
166
+ {"number": 165, "llm_response": "\u20222019 - $24,578 million;\r\n\u20222020 - $31,536 million;\r\n\u20222021 - $53,823 million;\r\n\u20222022 - $81,462 million.", "gold_answer": "\u20222019 - 24,578;\n\u20222020 - 31,536;\n\u20222021 - 53,823;\n\u20222022 - 81,462.", "prompt": "What is a list of net sales in 2019, 2020, 2021, and 2022?", "usage": {"input": 888, "metric": "tokens", "output": 64, "processing_time": 1.8479325771331787, "total": 952}, "category": "complex_qa"}
167
+ {"number": 166, "llm_response": "$297", "gold_answer": "297.", "prompt": "What is non-operating income interest in 2022?", "usage": {"input": 870, "metric": "tokens", "output": 5, "processing_time": 0.2673029899597168, "total": 875}, "category": "complex_qa"}
168
+ {"number": 167, "llm_response": "$6,496", "gold_answer": "6,496.", "prompt": "What is Operating Income in 2021?", "usage": {"input": 868, "metric": "tokens", "output": 7, "processing_time": 0.3192770481109619, "total": 875}, "category": "complex_qa"}
169
+ {"number": 168, "llm_response": "$24,578", "gold_answer": "18,402.", "prompt": "What is the cost of goods sold (excluding depreciation) in 2019?", "usage": {"input": 878, "metric": "tokens", "output": 8, "processing_time": 0.3466513156890869, "total": 886}, "category": "complex_qa"}
170
+ {"number": 169, "llm_response": "$13,719", "gold_answer": "13,719", "prompt": "What is the amount of pretax income in 2022?", "usage": {"input": 870, "metric": "tokens", "output": 8, "processing_time": 0.3468756675720215, "total": 878}, "category": "complex_qa"}
171
+ {"number": 170, "llm_response": "\u2022Herbert Simon\r\n\u2022Marvin Minsky\r\n\u2022Papert\r\n\u2022Sir James Lighthill\r\n\u2022Japan's Fifth Generation Computer Project\r\n\u2022U.S. and British governments\r\n\u2022U.S. Congress", "gold_answer": "\u2022Herbert Simon;\n\u2022Marvin Minsky;\n\u2022Sir James Lighthill;\n\u2022Papert.", "prompt": "What is a list of all of the people mentioned?", "usage": {"input": 416, "metric": "tokens", "output": 55, "processing_time": 1.4838297367095947, "total": 471}, "category": "complex_qa"}
172
+ {"number": 171, "llm_response": "\u2022ServiceNow and Accenture,\r\n\u2022VMware,\r\n\u2022Snowflake,\r\n\u2022WPP,\r\n\u2022Softbank, and\r\n\u2022Hugging Face.", "gold_answer": "\u2022Amazon Web Services;\n\u2022Microsoft Azure;\u2022\nRegional Cloud Service Providers;\n\u2022ServiceNow;\n\u2022Accenture;\n\u2022VMWare;\n\u2022Snowflake;\n\u2022WPP;\n\u2022Softbank;\n\u2022Hugging Face.", "prompt": "What is a list of Nvidia's partners mentioned in the text?", "usage": {"input": 613, "metric": "tokens", "output": 40, "processing_time": 1.1449174880981445, "total": 653}, "category": "complex_qa"}
173
+ {"number": 172, "llm_response": "\u2022Tesla,\r\n\u2022Netflix,\r\n\u2022Fifth Third,\r\n\u2022KeyCorp,\r\n\u2022Union Pacific,\r\n\u2022CSX, and\r\n\u2022American Airlines.", "gold_answer": "\u2022Tesla;\n;\u2022Netflix;\n\u2022KeyCorp;\n\u2022Fifth Third;\n\u2022Truist Financial;\n\u2022American Airlines;\n\u2022Union Pacific;\n\u2022CSX.", "prompt": "What is a list of the companies that are mentioned in the text?", "usage": {"input": 476, "metric": "tokens", "output": 41, "processing_time": 1.1308844089508057, "total": 517}, "category": "complex_qa"}
174
+ {"number": 173, "llm_response": "U.S., Britain, Japan.", "gold_answer": "1. U.S;\n2. UK;\n3. Japan.", "prompt": "Which three governments are mentioned in the text?", "usage": {"input": 414, "metric": "tokens", "output": 9, "processing_time": 0.2971820831298828, "total": 423}, "category": "complex_qa"}
175
+ {"number": 174, "llm_response": "1. The softer wage number in the jobs report may have made investors rethink their earlier bearish stance;\r\n2. The pullback in yields from the day's highs;\r\n3. The market had gotten extremely oversold, with the S&P 500 down more than 9% from its high earlier this year.", "gold_answer": "Traders were unclear of the reason, but some noted it could be the softer wage numberin the jobs report.", "prompt": "Why did the intraday reversal occur?", "usage": {"input": 527, "metric": "tokens", "output": 76, "processing_time": 2.066423177719116, "total": 603}, "category": "complex_qa"}
176
+ {"number": 175, "llm_response": "Nokia said that it will reduce its cost base and increase operation efficiency to \"address the challenging market environment.\"", "gold_answer": "Cost cutting plan", "prompt": "Why is Nokia cutting jobs?", "usage": {"input": 140, "metric": "tokens", "output": 24, "processing_time": 0.6234850883483887, "total": 164}, "category": "complex_qa"}
177
+ {"number": 176, "llm_response": "Tesla stock declined 4% after the company missed expectations on earnings and revenue in the third quarter. CEO Elon Musk also warned that the Cybertruck will not produce much positive cash flow more than a year after production starts.", "gold_answer": "The company missed expectations on earnings and revenue,and Elon Musk warned that the Cybertruck will not producepositive cash flow for more than a year.", "prompt": "Why did Tesla stock decline?", "usage": {"input": 469, "metric": "tokens", "output": 52, "processing_time": 1.4148402214050293, "total": 521}, "category": "complex_qa"}
178
+ {"number": 177, "llm_response": "\u2022On January 5, 2021, the Democratic Party won control of the United States Senate, effective January 20, as a result of electoral victories in Georgia by Jon Ossoff in a runoff election for a six-year term and Raphael Warnock in a special runoff election for a two-year term;\r\n\u2022President-elect Biden had supported and campaigned for both candidates prior to the runoff elections on January 5", "gold_answer": "The electoral victories in Georgia by Jon Ossoff and Raphael Warnock.", "prompt": "What events enabled the Democrats to win the Senate?", "usage": {"input": 351, "metric": "tokens", "output": 101, "processing_time": 2.6644163131713867, "total": 452}, "category": "complex_qa"}
179
+ {"number": 178, "llm_response": "North Industries", "gold_answer": "North Industries", "prompt": "Which company is located in Nevada?", "usage": {"input": 124, "metric": "tokens", "output": 5, "processing_time": 0.13393735885620117, "total": 129}, "category": "complex_qa"}
180
+ {"number": 179, "llm_response": "Blue Moon Tech.", "gold_answer": "Blue Moon Tech.", "prompt": "Which company is located on California Street?", "usage": {"input": 125, "metric": "tokens", "output": 5, "processing_time": 0.13425731658935547, "total": 130}, "category": "complex_qa"}
181
+ {"number": 180, "llm_response": "Revenue: $16.00 billion, plus or minus 2%\r\nGAAP and non-GAAP gross margins: 71.5% and 72.5%, plus or minus 50 basis points\r\nGAAP and non-GAAP operating expenses: $2.95 billion and $2.00 billion, respectively\r\nGAAP and non-GAAP other income and expense: $10", "gold_answer": "\u2022Revenue: $16.00 billion, plus or minus 2%;\n\u2022Gross Margins: 71.5%-72.%, plus or minor 50 basis points;\n\u2022GAAP operating expenses: $2.95 billion;\n\u2022Non - GAAP operating expense: $2.00 billion.", "prompt": "What are the key financial metrics for the outlook for the third quarter?", "usage": {"input": 329, "metric": "tokens", "output": 101, "processing_time": 2.643772602081299, "total": 430}, "category": "summary"}
182
+ {"number": 181, "llm_response": "\u2022Second-quarter revenue was a record $10.32 billion;\r\n\u2022Second-quarter revenue was up 141% from the previous quarter;\r\n\u2022Second-quarter revenue was up 171% from the same quarter a year ago;\r\n\u2022Announced that the NVIDIA GH200 Grace Hopper Superchip for complex AI and HPC workloads is shipping this quarter;\r\n\u2022Announced that a second-generation version", "gold_answer": "\u2022Second-quarter revenue: record $10.32 billion;\n\u2022Up 141% from previous quarter;\nUp 171% from previousyear", "prompt": "What is a list of key points about data center performance?", "usage": {"input": 326, "metric": "tokens", "output": 101, "processing_time": 2.6446828842163086, "total": 427}, "category": "summary"}
183
+ {"number": 182, "llm_response": "1. Record revenue of $13.51 billion, up 88% from Q1, up 101% from year ago;\r\n2. Record Data Center revenue of $10.32 billion, up 141% from Q1, up 171% from year ago;\r\n3. Non-GAAP EPS of $2.70, up 148% from Q1.", "gold_answer": "1. Record revenue of $13.51 billion;\n2. Record Data Center revenue of $10.32 billion;\n3. GAAP earnings per diluted share of $2.48.", "prompt": "What is a list of the top 3 financial highlights for the quarter?", "usage": {"input": 569, "metric": "tokens", "output": 98, "processing_time": 2.6465353965759277, "total": 667}, "category": "summary"}
184
+ {"number": 183, "llm_response": "\u2022Joe Biden is the 46th president of the United States;\r\n\u2022He was inaugurated on January 20, 2021;\r\n\u2022He is a Democrat from Delaware;\r\n\u2022He previously served as vice president under Barack Obama;\r\n\u2022He won the 2020 presidential election over Donald Trump;\r\n\u2022He is the oldest president in American history.", "gold_answer": "\u2022Joe Biden was inaugurated on January 20, 2021;\n\u2022Biden is the 46th President of the United States;\n\u2022Biden previously served as Vice President under Barack Obama;\n\u2022Biden won the 2020 presidential election over incumbent Donald Trump;\n\u2022Biden is the oldest president in American history.", "prompt": "What is a list of the top summary points?", "usage": {"input": 108, "metric": "tokens", "output": 85, "processing_time": 2.165410280227661, "total": 193}, "category": "summary"}
185
+ {"number": 184, "llm_response": "1. On November 23, 2020, General Services Administration head Emily W. Murphy refused to begin the transition to the president-elect, denying funds and office space to his team.\r\n2. On January 5, 2021, the Democratic Party won control of the United States Senate, effective January 20, as a result of electoral victories in Georgia.\r\n3. On January 6, 2021", "gold_answer": "1. General Services Administration head Emily W. Murphy initially refused to begin the transition for president-elect Biden until Michigan certified its results on November 23;\n2. Two days after becoming the projected winner, Biden announced the formation of a task forceto advise on the COVID-19 pandemic;\n3. On January 5, 2021, the Democratic Party won control of the U.S. Senate, with the electoralvictories in Georgia by Jon Ossoff and Raphael Warnock;\n4. On January 6, 2021, a mob of Trump supporters stormed the Capitol, forcing Congress to evacuateduring the counting of the Electoral Votes;\n5. For the inauguration, more than 26,000 National Guard members were deployed.", "prompt": "What is a list of the top 5 summary points?", "usage": {"input": 353, "metric": "tokens", "output": 101, "processing_time": 2.657489061355591, "total": 454}, "category": "summary"}
186
+ {"number": 185, "llm_response": "\u2022Record revenue of $13.51 billion, up 88% from Q1, up 101% from year ago;\r\n\u2022Record Data Center revenue of $10.32 billion, up 141% from Q1, up 171% from year ago;\r\n\u2022GAAP earnings per diluted share of $2.48, up 854% from a year ago and up 202% from", "gold_answer": "\u2022Revenue: $52.9 million, up 10% in constant currency;\n\u2022Operating income: $22.4 billion, up 15% in constant currency;\n\u2022Net income: $18.3 billion, up 14% in constant currency;\n\u2022Diluted earnings per share: $2.45 billion, up 14% in constant currency.", "prompt": "What is the list of the top financial highlights for the quarter?", "usage": {"input": 567, "metric": "tokens", "output": 101, "processing_time": 2.742586135864258, "total": 668}, "category": "summary"}
187
+ {"number": 186, "llm_response": "1. The study of mechanical or 'formal' reasoning began with philosophers and mathematicians in antiquity.\r\n2. The study of logic led directly to Alan Turing's theory of computation, which suggested that a machine could simulate both mathematical deduction and formal reasoning.\r\n3. The field of AI research was founded at a workshop at Dartmouth College in 1956.", "gold_answer": "1. The study of formal reasoning began in antiquity;\n2. These studies led directly to Alan Turing's theory of computation, which led researchers to consider the possibility of building an 'electronic brain';\n3. The first paper that recognized AI was published in 1943, and the field was founded in 1956.", "prompt": "What is a list of the top 3 points?", "usage": {"input": 193, "metric": "tokens", "output": 90, "processing_time": 2.3134021759033203, "total": 283}, "category": "summary"}
188
+ {"number": 187, "llm_response": "\u2022The attendees became the leaders of AI research in the 1960s, and produced programs that the press described as \"astonishing\"\r\n\u2022By the mid-1960s, research was heavily funded by the Department of Defense, and laboratories had been established around the world.\r\n\u2022Herbert Simon predicted that machines would be capable of doing any work a man can do in 20 years.\r\n\u2022Marvin Minsky agreed, writing that", "gold_answer": "\u2022In the 1960s, AI researchers produced 'astonishing' programs that could learn checkers, word problems,prove logical theorems and speak English;\n\u2022AI research at the time was funded heavily by the U.S. Department of Defense;\n\u2022Herbert Simon predicted that machines would be capable in 20 years of doing human work;\n\u2022Marvin Minskey predicted that AI would be substantially solved within a generation;\n\u2022Due to these under-estimations of the difficulty of the problem, reduced government funding, and concerns about the real-world use of neural networks, the 'AI winter' followed;\n\u2022AI research was revived in the 1980s with expert systems, and the market for AI reached over $1 billion in 1985;\nHowever, with the collapse of the Lisp machine market in 1987, AI fell in disrepute again, and another AI winter ensued.", "prompt": "What is a list of the top summary points?", "usage": {"input": 415, "metric": "tokens", "output": 101, "processing_time": 2.6723103523254395, "total": 516}, "category": "summary"}
189
+ {"number": 188, "llm_response": "\u2022Wednesday - $27;\r\n\u2022Thursday - $33;\r\n\u2022Friday - $36.", "gold_answer": "\u2022Wednesday - $27;\n\u2022Thursday - $33;\n\u2022Friday - $36.", "prompt": "What is a list of the stock prices on Wednesday, Thursday and Friday?", "usage": {"input": 65, "metric": "tokens", "output": 28, "processing_time": 0.7118606567382812, "total": 93}, "category": "summary"}
190
+ {"number": 189, "llm_response": "Joe Biden, 46th President, inaugurated on January 20, 2021, after winning 2020 election.", "gold_answer": "Joe Biden is the 46th President of the United States.", "prompt": "What is a headline summary in 10 words or less?", "usage": {"input": 112, "metric": "tokens", "output": 34, "processing_time": 0.8711633682250977, "total": 146}, "category": "summary"}
191
+ {"number": 190, "llm_response": "On January 6, 2021, a mob of Trump supporters violently stormed the Capitol in an attempt to overturn the election, forcing Congress to evacuate.", "gold_answer": "After Biden won the election, he formed a pandemic task force, the democrats won the Senate, and a mob stormed the Capital on January 6.", "prompt": "What is a one-line brief description in 25 words or less?", "usage": {"input": 357, "metric": "tokens", "output": 39, "processing_time": 1.0567092895507812, "total": 396}, "category": "summary"}
192
+ {"number": 191, "llm_response": "Not Found.", "gold_answer": "\u2022Office Commercial Products;\n\u2022Office Consumer Products;\n\u2022Microsoft 365 Consumer;\n\u2022LinkedIn;\n\u2022Dynamics Products;\n\u2022Server Products;\n\u2022More Personal Computing;\n\u2022Windows OEM;\n\u2022Devices;\n\u2022Windows Commercial;\n\u2022Xbox;\n\u2022Search and News Advertising.", "prompt": "What is a list of top Microsoft product offerings?", "usage": {"input": 325, "metric": "tokens", "output": 4, "processing_time": 0.15287423133850098, "total": 329}, "category": "summary"}
193
+ {"number": 192, "llm_response": "\u2022Invoice Date: March 3, 2022\r\n\u2022Invoice No: 234\r\n\u2022ABC Company 8675 River Run Road Marlington, CT 09392\r\n\u2022Invoice To: Delta Inc.\r\n8723 Wilton Boulevard, Los Angeles, CA\r\n\u2022Payment Terms DUE DATE: May 3, 2022\r\n\u2022Quantity Description", "gold_answer": "\u2022Invoice Date: March 3, 2022;\\\u2022Invoice Number: No 234;\n\u2022From: ABC Company;\n\u2022To: Delta Inc.;\n\u2022Due Date: Due on Receipt;\n\u2022Total: $4565.00.", "prompt": "What is a list of the key points?", "usage": {"input": 222, "metric": "tokens", "output": 101, "processing_time": 2.6166954040527344, "total": 323}, "category": "summary"}
194
+ {"number": 193, "llm_response": "Microsoft announced that its cloud revenue was up 22% year-over-year, to $28.5 billion, and that the world's most advanced AI models are coming together with the world's most universal user interface - natural language - to create a new era of computing.", "gold_answer": "According to Microsoft's CEO and CFO, the Microsoft Cloud is the platform for choice for AI,and growing 22% year-over-year as a result of focused execution.", "prompt": "What is a summary in 30 words or less?", "usage": {"input": 167, "metric": "tokens", "output": 61, "processing_time": 1.5699002742767334, "total": 228}, "category": "summary"}
195
+ {"number": 194, "llm_response": "\u2022Vivek Murthy,\r\n\u2022David A. Kessler,\r\n\u2022Marcella Nunez-Smith,\r\n\u2022Jon Ossoff,\r\n\u2022Raphael Warnock,\r\n\u2022Emily W. Murphy, and\r\n\u2022General Services Administration.", "gold_answer": "\u2022Biden;\n\u2022Emily W. Murphy;\n\u2022Vivek Murthy;\n\u2022David A. Kessler;\n\u2022Marcella Nunez-Smith;\n\u2022Jon Ossoff;\n\u2022Raphael Warnock.", "prompt": "What is a list of all of the people mentioned?", "usage": {"input": 352, "metric": "tokens", "output": 62, "processing_time": 1.6528639793395996, "total": 414}, "category": "summary"}
196
+ {"number": 195, "llm_response": "Nokia is cutting up to 14,000 jobs and reducing costs in the face of a challenging market environment. Nokia reported a 20% decline in net sales and a 69% decline in profit.", "gold_answer": "Nokia is cutting 14,000 jobs as part of a cost reductionplan after reporting profits that declined 69% year-on-year.", "prompt": "What is a one-line summary?", "usage": {"input": 140, "metric": "tokens", "output": 52, "processing_time": 1.337764024734497, "total": 192}, "category": "summary"}
197
+ {"number": 196, "llm_response": "\u2022Senior Vice President, Event Planning (\"SVP\") of the Employer's Workforce Optimization Division;\r\n\u2022Reporting to the Board of Directors;\r\n\u2022Devoting substantially all of his business time and attention;\r\n\u2022Responsible for running day-to-day operations;\r\n\u2022Responsible for performing faithfully, diligently and competently the duties and responsibilities of a SVP.", "gold_answer": "\u2022Senior Vice President, Event Planning ('SVP') of Workforce Optimization Division;\n\u2022Report to Board of Directors;\n\u2022Devote substantially all of business time and attention to the operations of the Employer;\n\u2022responsible for running Employer's day-to-day operations;\n\u2022Perform faithfully, diligently and competently the duties and responsibilities of a SVP.", "prompt": "What is a list of the executive's responsibilities?", "usage": {"input": 384, "metric": "tokens", "output": 92, "processing_time": 2.4456288814544678, "total": 476}, "category": "summary"}
198
+ {"number": 197, "llm_response": "Nvidia Announces Financial Results for Second Quarter Fiscal 2024\r\n\r\n\u2022Record revenue of $13.51 billion, up 88% from Q1, up 101% from year ago\r\n\r\n\u2022Record Data Center revenue of $10.32 billion, up 141% from Q1, up 171% from year ago", "gold_answer": "NVIDIA Announces Second Quarter Fiscal 2024 Results with record revenue of $13.51 billion.", "prompt": "What is a headline description?", "usage": {"input": 561, "metric": "tokens", "output": 91, "processing_time": 2.475609540939331, "total": 652}, "category": "summary"}
199
+ {"number": 198, "llm_response": "Microsoft CEO Satya Nadella: \"The world's most advanced AI models are coming together with the world's most universal user interface - natural language - to create a new era of computing.\"", "gold_answer": "Microsoft Cloud is the platform of choice for the next generation of AI.", "prompt": "What is a summary of the CEO's statement in 15 words or less?", "usage": {"input": 173, "metric": "tokens", "output": 42, "processing_time": 1.0853066444396973, "total": 215}, "category": "summary"}
200
+ {"number": 199, "llm_response": "\u2022Services Vendor Inc. 100 Elm Street, Pleasantville, NY 5900 1st Street, Los Angeles, CA \r\n\u2022Description - Front End Engineering Service - $5000.00\r\n\u2022Back End Engineering Service - $7500.00\r\n\u2022Quality Assurance Manager - $10,000.00\r\n\u2022Total Amount - $22,500", "gold_answer": "\u2022Invoice From: Services Vendor Inc.;\n\u2022Invoice To: Alpha Inc.;\n\u2022Total Amount: $22,500.00;\n\u2022Payment Due: within 30 days;\n\u2022Contact: Bia Hermes;\n\u2022Invoice #0001;\u2022Data: 01/01/2022.", "prompt": "What are the key terms of the invoice?", "usage": {"input": 203, "metric": "tokens", "output": 101, "processing_time": 2.6057426929473877, "total": 304}, "category": "summary"}