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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
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
No community queries yet
The top public SQL queries from the community will appear here once available.