prompt_id stringlengths 32 41 | prompt stringlengths 8 728 | response_reference stringlengths 3 601 ⌀ | judge_prompt_template stringclasses 5
values | judge_system_prompt stringclasses 4
values | label stringclasses 6
values | wind_ticker stringlengths 3 18 ⌀ | akshare_ticker stringlengths 0 19 ⌀ | ground_truth stringlengths 31 163 ⌀ | time stringclasses 1
value | response_reference_translate stringlengths 101 194 ⌀ | yfinance_ticker stringclasses 88
values |
|---|---|---|---|---|---|---|---|---|---|---|---|
(T1)Time_Sensitive_Data_Fetching_127 | Low stock price of Walmart(NYSE) on the latest trading day | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | WMT.N | 106.WMT.USA | {"WMT___N":{"RT_TIME":"200001","RT_DATE":"20250813","RT_LOW":"100.85000000000001"}} | 2025/8/14 | Required Content: The latest lowest price of Walmart
Accuracy Requirements: Only rounding errors are allowed | WMT |
(T1)Time_Sensitive_Data_Fetching_128 | Low price for Costco on the latest trading day | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | COST.O | 105.COST.USA | {"COST___O":{"RT_TIME":"200000","RT_DATE":"20250813","RT_LOW":"970.1"}} | 2025/8/14 | Required Content: The latest lowest price of Costco
Accuracy Requirements: Only rounding errors are allowed | COST |
(T1)Time_Sensitive_Data_Fetching_129 | Low price for Philip Morris International (US-listed) on the latest trading day | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | PM.N | 106.PM.USA | {"PM___N":{"RT_TIME":"200001","RT_DATE":"20250813","RT_LOW":"164.56"}} | 2025/8/14 | Required Content: The latest lowest price of Philip Morris International
Accuracy Requirements: Only rounding errors are allowed | PM |
(T1)Time_Sensitive_Data_Fetching_130 | Eli Lilly's latest low stock price | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | LLY.N | 106.LLY.USA | {"LLY___N":{"RT_TIME":"195955","RT_DATE":"20250813","RT_LOW":"644.5"}} | 2025/8/14 | Required Content: The latest lowest price of Eli Lilly
Accuracy Requirements: Only rounding errors are allowed | LLY |
(T1)Time_Sensitive_Data_Fetching_131 | Johnson & Johnson's low price on the latest trading day | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | JNJ.N | 106.JNJ.USA | {"JNJ___N":{"RT_TIME":"200001","RT_DATE":"20250813","RT_LOW":"172.695"}} | 2025/8/14 | Required Content: The latest low price of Johnson & Johnson
Accuracy Requirements: Only rounding errors are allowed | JNJ |
(T1)Time_Sensitive_Data_Fetching_132 | Nike's latest lowest stock price | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | NKE.N | 106.NKE.USA | {"NKE___N":{"RT_TIME":"200001","RT_DATE":"20250813","RT_LOW":"75.185"}} | 2025/8/14 | Required Content: The latest lowest price of Nike
Accuracy Requirements: Only rounding errors are allowed | NKE |
(T1)Time_Sensitive_Data_Fetching_133 | Low stock price for UnitedHealth Group (most recent trading day) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | UNH.N | 106.UNH.USA | {"UNH___N":{"RT_TIME":"200001","RT_DATE":"20250813","RT_LOW":"262.89"}} | 2025/8/14 | Required Content: The latest lowest price of UnitedHealth Group
Accuracy Requirements: Only rounding errors are allowed | UNH |
(T1)Time_Sensitive_Data_Fetching_134 | Morgan Stanley's latest low stock price | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | MS.N | 106.MS.USA | {"MS___N":{"RT_TIME":"200001","RT_DATE":"20250813","RT_LOW":"145.39000000000001"}} | 2025/8/14 | Required Content: The latest lowest price of Morgan Stanley
Accuracy Requirements: Only rounding errors are allowed | MS |
(T1)Time_Sensitive_Data_Fetching_135 | AT&T's lowest stock price for the latest trading day | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | T.N | 106.T.USA | {"T___N":{"RT_TIME":"195930","RT_DATE":"20250813","RT_LOW":"28.36"}} | 2025/8/14 | Required Content: The latest lowest price of AT&T
Accuracy Requirements: Only rounding errors are allowed | T |
(T1)Time_Sensitive_Data_Fetching_136 | 3M(MMM.N)'s latest low stock price | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | MMM.N | 106.MMM.USA | {"MMM___N":{"RT_TIME":"160000","RT_DATE":"20250813","RT_LOW":"156.62"}} | 2025/8/14 | Required Content: The latest lowest price of 3M(MMM.N)
Accuracy Requirements: Only rounding errors are allowed | MMM |
(T1)Time_Sensitive_Data_Fetching_137 | Low price for Applied Materials (US stocks) on the latest day | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | AMAT.O | 105.AMAT.USA | {"AMAT___O":{"RT_TIME":"200000","RT_DATE":"20250813","RT_LOW":"188.73"}} | 2025/8/14 | Required Content: The latest lowest price of Applied Materials
Accuracy Requirements: Only rounding errors are allowed | AMAT |
(T1)Time_Sensitive_Data_Fetching_138 | Low price for Salesforce listed in the US on the latest day | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | CRM.N | 106.CRM.USA | {"CRM___N":{"RT_TIME":"200000","RT_DATE":"20250813","RT_LOW":"229.60500000000002"}} | 2025/8/14 | Required Content: The latest lowest price of Salesforce
Accuracy Requirements: Only rounding errors are allowed | CRM |
(T1)Time_Sensitive_Data_Fetching_139 | The latest price change percentage of Amgen (US-listed) (based on the closing price of current and previous trading day) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | AMGN.O | 105.AMGN.USA | {"AMGN___O":{"RT_PCT_CHG":"0.015300000000000001"}} | 2025/8/14 | Required Content: The latest price change percentage of Amgen
Accuracy Requirements: Only rounding errors are allowed | AMGN |
(T1)Time_Sensitive_Data_Fetching_140 | The latest price change percentage of Goldman Sachs (US-listed) on the latest trading day (based on the closing price of current and previous trading day) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | GS.N | 106.GS.USA | {"GS___N":{"RT_PCT_CHG":"0.0018000000000000002"}} | 2025/8/14 | Required Content: The latest price change percentage of Goldman Sachs
Accuracy Requirements: Only rounding errors are allowed | GS |
(T1)Time_Sensitive_Data_Fetching_141 | The latest percentage change of NextEra Energy (based on the latest closing price and the previous closing price) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | NEE.N | 106.NEE.USA | {"NEE___N":{"RT_PCT_CHG":"0.0061"}} | 2025/8/14 | Required Content: The latest price change percentage of NextEra Energy
Accuracy Requirements: Only rounding errors are allowed | NEE |
(T1)Time_Sensitive_Data_Fetching_142 | The latest price change percentage of Caterpillar (NYSE) on the latest trading day (based on previous closing price and closing price of the day) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | CAT.N | 106.CAT.USA | {"CAT___N":{"RT_PCT_CHG":"0.0024000000000000002"}} | 2025/8/14 | Required Content: The latest price change of Caterpillar
Accuracy Requirements: Only rounding errors are allowed | CAT |
(T1)Time_Sensitive_Data_Fetching_143 | Price change percentage of Union Pacific in the latest trading day.（based on the latest closing price and the previous closing price） | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | UNP.N | 106.UNP.USA | {"UNP___N":{"RT_PCT_CHG":"0.02"}} | 2025/8/14 | Required Content: The latest price change percentage of Union Pacific
Accuracy Requirements: Only rounding errors are allowed | UNP |
(T1)Time_Sensitive_Data_Fetching_144 | The latest percentage change of BioNTech(NASDAQ).（based on the latest closing price and the previous closing price） | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | BNTX.O | 105.BNTX.USA | {"BNTX___O":{"RT_TIME":"200000","RT_PCT_CHG":"0.016","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest price change percentage of BioNTech
Accuracy Requirements: Only rounding errors are allowed | BNTX |
(T1)Time_Sensitive_Data_Fetching_145 | The latest percentage change of Rivian(NASDAQ).（based on the latest closing price and the previous closing price） | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | RIVN.O | 105.RIVN.USA | {"RIVN___O":{"RT_PCT_CHG":"0.025900000000000003"}} | 2025/8/14 | Required Content: The latest price change percentage of Rivian
Accuracy Requirements: Only rounding errors are allowed | RIVN |
(T1)Time_Sensitive_Data_Fetching_146 | The latest price change in dollars of Lucid Group (USA).（based on the latest closing price and the previous closing price） | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | LCID.O | 105.LCID.USA | {"LCID___O":{"RT_TIME":"200000","RT_DATE":"20250813","RT_CHG":"0.07"}} | 2025/8/14 | Required Content: The latest price change in dollars of Lucid Group
Accuracy Requirements: Only rounding errors are allowed | LCID |
(T1)Time_Sensitive_Data_Fetching_147 | Price increase in dollars of Snowflake(NYSE) on the latest trading day.（based on the latest closing price and the previous closing price） | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | SNOW.N | 106.SNOW.USA | {"SNOW___N":{"RT_TIME":"200001","RT_DATE":"20250813","RT_CHG":"3.81"}} | 2025/8/14 | Required Content: The latest price change in dollars of Snowflake
Accuracy Requirements: Only rounding errors are allowed | SNOW |
(T1)Time_Sensitive_Data_Fetching_148 | The price change in dollars of Bloom Energy(NYSE) on the latest trading day（based on the latest closing price and the previous closing price） | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | BE.N | 106.BE.USA | {"BE___N":{"RT_TIME":"200001","RT_DATE":"20250813","RT_CHG":"2.83"}} | 2025/8/14 | Required Content: The latest price change in dollars of Bloom Energy
Accuracy Requirements: Only rounding errors are allowed | BE |
(T1)Time_Sensitive_Data_Fetching_149 | The latest price change（based on the latest closing price and the previous closing price） of Nike(NYSE) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | NKE.N | 106.NKE.USA | {"NKE___N":{"RT_TIME":"200001","RT_DATE":"20250813","RT_CHG":"2.3000000000000003"}} | 2025/8/14 | Required Content: The latest price change in dollars of Nike
Accuracy Requirements: Only rounding errors are allowed | NKE |
(T1)Time_Sensitive_Data_Fetching_150 | what is UnitedHealth Group (NYSE) percentage change on the latest trading day?（based on the latest closing price and the previous closing price） | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | UNH.N | 106.UNH.USA | {"UNH___N":{"RT_TIME":"200001","RT_PCT_CHG":"0.0391","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest percentage change of UnitedHealth Group
Accuracy Requirements: Only rounding errors are allowed | UNH |
(T1)Time_Sensitive_Data_Fetching_151 | How much did Morgan Stanley's US stocks rise in dollars on the latest trading day?（based on the latest closing price and the previous closing price） | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | MS.N | 106.MS.USA | {"MS___N":{"RT_TIME":"200001","RT_DATE":"20250813","RT_CHG":"0.47000000000000003"}} | 2025/8/14 | Required Content: The latest price change in dollars of Morgan Stanley
Accuracy Requirements: Only rounding errors are allowed | MS |
(T1)Time_Sensitive_Data_Fetching_152 | The latest trading day's price change in dollars of AT&T (US stocks).（based on the latest closing price and the previous closing price） | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | T.N | 106.T.USA | {"T___N":{"RT_TIME":"195930","RT_DATE":"20250813","RT_CHG":"-0.08"}} | 2025/8/14 | Required Content: The latest price change in dollars of AT&T
Accuracy Requirements: Only rounding errors are allowed | T |
(T1)Time_Sensitive_Data_Fetching_153 | Dollar increase of 3M on the latest trading day（based on the latest closing price and the previous closing price） | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | MMM.N | 106.MMM.USA | {"MMM___N":{"RT_TIME":"160000","RT_DATE":"20250813","RT_CHG":"2.35"}} | 2025/8/14 | Required Content: The latest price change in dollars of 3M
Accuracy Requirements: Only rounding errors are allowed | MMM |
(T1)Time_Sensitive_Data_Fetching_154 | How much did Applied Materials (NASDAQ) rise in dollars on the latest trading day?（based on the latest closing price and the previous closing price） | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | AMAT.O | 105.AMAT.USA | {"AMAT___O":{"RT_TIME":"200000","RT_DATE":"20250813","RT_CHG":"1.58"}} | 2025/8/14 | Required Content: The latest price change in dollars of Applied Materials
Accuracy Requirements: Only rounding errors are allowed | AMAT |
(T1)Time_Sensitive_Data_Fetching_155 | The latest dollar change of Salesforce(US stocks).（based on the latest closing price and the previous closing price） | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | CRM.N | 106.CRM.USA | {"CRM___N":{"RT_TIME":"200000","RT_DATE":"20250813","RT_CHG":"5.37"}} | 2025/8/14 | Required Content: The latest price change in dollars of Salesforce
Accuracy Requirements: Only rounding errors are allowed | CRM |
(T1)Time_Sensitive_Data_Fetching_160 | Coca - Cola's stock latest opening price | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | KO.N | 106.KO.USA | {"KO___N":{"RT_TIME":"200001","RT_OPEN":"70.69","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of Coca-Cola
Accuracy Requirements: Only rounding errors are allowed | KO |
(T1)Time_Sensitive_Data_Fetching_161 | PepsiCo's latest closing price in the US stock market | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | PEP.O | 105.PEP.USA | {"PEP___O":{"RT_TIME":"200000","RT_LAST":"149.35","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest closing price of PepsiCo
Accuracy Requirements: Only rounding errors are allowed | PEP |
(T1)Time_Sensitive_Data_Fetching_162 | Procter & Gamble(US stocks) latest closing price | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | PG.N | 106.PG.USA | {"PG___N":{"RT_TIME":"200001","RT_LAST":"155.41","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest closing price of Procter & Gamble
Accuracy Requirements: Only rounding errors are allowed | PG |
(T1)Time_Sensitive_Data_Fetching_163 | Walmart's closing price on the latest trading day (US stocks) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | WMT.N | 106.WMT.USA | {"WMT___N":{"RT_TIME":"200001","RT_LAST":"100.99000000000001","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest closing price of Walmart
Accuracy Requirements: Only rounding errors are allowed | WMT |
(T1)Time_Sensitive_Data_Fetching_164 | Costco's stock latest closing price (NASDAQ) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | COST.O | 105.COST.USA | {"COST___O":{"RT_TIME":"200000","RT_LAST":"978.85","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest closing price of Costco
Accuracy Requirements: Only rounding errors are allowed | COST |
(T1)Time_Sensitive_Data_Fetching_165 | Philip Morris International's stock latest closing price | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | PM.N | 106.PM.USA | {"PM___N":{"RT_TIME":"200001","RT_LAST":"165.88","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest closing price of Philip Morris International
Accuracy Requirements: Only rounding errors are allowed | PM |
Subsets and Splits
SQL Console for ByteSeedXpert/FinSearchComp
Filters training data for specific prompt IDs and labels, providing basic subset analysis but offering limited insight into broader patterns or relationships within the dataset.
Train Data: T2 & Greater China
Filters training data for specific prompt IDs and labels, providing basic categorical data retrieval but offering limited analytical insight beyond simple matching.
Greater China Prompts Filter
Filters training data for specific prompt IDs and labels related to Greater China, providing basic subset retrieval but offering limited analytical insight into the dataset's broader patterns or relationships.
Search Greater China Prompts
This query filters records containing specific ID patterns and labels, but provides only basic filtered data without revealing meaningful patterns or relationships in the dataset.
T1 Prompts for Greater China
Retrieves a subset of training data filtered by specific prompt and label patterns, but doesn't provide meaningful analysis or reveal patterns beyond basic filtering.
Train Subset for Greater China
Retrieves specific records matching pattern conditions but doesn't provide meaningful analysis or insights beyond basic filtering.
Global Labels in T3 Prompts
The query retrieves all records with a label containing 'Global' and a prompt_id containing 'T3', providing basic filtering but limited analytical value.
Filter Global Labels, T2 IDs
Retrieves records with specific labels and prompt IDs, providing limited filtered data that doesn't offer deep insights.
Global Labels from Train Set
The query filters the dataset for rows containing 'Global' in the label and 'T1' in the prompt_id, providing a basic subset of the data with limited analytical insight.
Training Data with T2 Id
Retrieves all records from the train dataset where the prompt_id contains 'T2', providing a basic filtered view of specific prompts.
SQL Console for ByteSeedXpert/FinSearchComp
Retrieves a limited number of entries with a specific label, providing basic filtering but minimal analytical insight.
SQL Console for ByteSeedXpert/FinSearchComp
Retrieves a limited number of records with a specific label, providing basic filtering but minimal analytical insight.
SQL Console for ByteSeedXpert/FinSearchComp
Retrieves a limited number of samples with a specific label, providing basic filtering but minimal analytical insight.