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_069 | 吉比特最近一个交易日最低价 | 必答点：吉比特最新交易日的最低价
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 603444.SH | 603444.SH | {"603444___SH":{"RT_TIME":"150003","RT_DATE":"20250814","RT_LOW":"407.5"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_070 | The closing value of CBOE Volatility Index? | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | VVIX.GI | - | {"VVIX___GI":{"RT_TIME":"0","RT_LAST":"98.17","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest price of the CBOE Volatility Index (the closing price)
Accuracy Requirements: Only rounding errors are allowed | ^VIX |
(T1)Time_Sensitive_Data_Fetching_070 | 中国神华A股最近一个交易日最低价 | 必答点：中国神华A股最新交易日的最低价
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 601088.SH | 601088.SH | {"601088___SH":{"RT_TIME":"150004","RT_DATE":"20250814","RT_LOW":"0"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_071 | Latest EURO STOXX 50I's price | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | SX5E.DF | SX5E | {"SX5E___DF":{"RT_TIME":"114830","RT_DATE":"20250814","RT_HIGH":"5406.24","RT_LOW":"5390.37"}} | 2025/8/14 | Required Content: The latest price of EURO STOXX 50I
Accuracy Requirements: Any answer between the high and low price is considered correct | ^STOXX50E |
(T1)Time_Sensitive_Data_Fetching_071 | 长江电力最近一个交易日涨幅 | 必答点：长江电力最新一个交易日的涨跌幅（基于昨日收盘价和当日收盘价的价格变动）
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 600900.SH | 600900.SH | {"600900___SH":{"RT_TIME":"150001","RT_PCT_CHG":"0.0011","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_072 | Latest price of Euronext 100 Index | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | N100.GI | - | {"N100___GI":{"RT_TIME":"0","RT_DATE":"20250813","RT_HIGH":"1599.3600000000001","RT_LOW":"1587.5"}} | 2025/8/14 | Required Content: The latest price of the Euronext 100 Index
Accuracy Requirements: Any answer between the high and low price is considered correct | ^N100 |
(T1)Time_Sensitive_Data_Fetching_072 | 长江证券最近一个交易日收盘价 | 必答点：长江证券最新交易日的收盘价
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 000783.SZ | 000783.SZ | {"000783___SZ":{"RT_TIME":"150000","RT_LAST":"7.8500000000000005","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_073 | Latest price of STI Index | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | STI.GI | STI | {"STI___GI":{"RT_TIME":"172000","RT_DATE":"20250814","RT_HIGH":"4282.8","RT_LOW":"4247.32"}} | 2025/8/14 | Required Content: The latest price of the STI Index
Accuracy Requirements: Any answer between the high and low price is considered correct | ^STI |
(T1)Time_Sensitive_Data_Fetching_073 | 天箭科技最近一个交易日涨幅（%） | 必答点：天箭科技最新一个交易日的涨跌幅（基于昨日收盘价和当日收盘价的价格变动）
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 002977.SZ | 002977.SZ | {"002977___SZ":{"RT_TIME":"150000","RT_PCT_CHG":"-0.0334","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_074 | Price of S&P BSE SENSEX (most recent trading day) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | SENSEX.BO | SENSEX | {"SENSEX___BO":{"RT_TIME":"145548","RT_DATE":"20250814","RT_HIGH":"80751.18000000001","RT_LOW":"80489.86"}} | 2025/8/14 | Required Content: The latest price of the S&P BSE SENSEX
Accuracy Requirements: Any answer between the high and low price is considered correct | ^BSESN |
(T1)Time_Sensitive_Data_Fetching_074 | 上证指数的最新交易日价格 | 必答点：上证指数最新股票价格（即最新交易日收盘价）
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 000001.SH | 000001.SH | {"000001___SH":{"RT_TIME":"150009","RT_LAST":"3666.44","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_075 | latest price of the ALL ORDINARIES Australian general share index | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | AORD.GI | AORD | {"AORD___GI":{"RT_TIME":"0","RT_DATE":"20250814","RT_HIGH":"9173.2","RT_LOW":"9103.1"}} | 2025/8/14 | Required Content: The latest price of the ALL ORDINARIES Australian general share index
Accuracy Requirements: Any answer between the high and low price is considered correct | ^AORD |
(T1)Time_Sensitive_Data_Fetching_075 | 沪深300指数的最新交易日价格 | 必答点：沪深300指数最新股票价格（即最新交易日收盘价）
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 000300.SH | 000300.SH | {"000300___SH":{"RT_TIME":"150009","RT_LAST":"4173.31","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_076 | latest price of NASDAQ Composite | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | IXIC.GI | NDX | {"IXIC___GI":{"RT_TIME":"160010","RT_LAST":"21713.14","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest price of NASDAQ Composite
Accuracy Requirements: Only rounding errors are allowed | ^IXIC |
(T1)Time_Sensitive_Data_Fetching_076 | 科创50的最新价格 | 必答点：科创50指数最新股票价格（即最新交易日收盘价）
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 000688.SH | 000688.SH | {"000688___SH":{"RT_TIME":"150009","RT_LAST":"1085.74","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_077 | Opening price of Merck (NYSE) on the latest trading day | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | MRK.N | 106.MRK.USA | {"MRK___N":{"RT_TIME":"200001","RT_OPEN":"80.75","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of Merck
Accuracy Requirements: Only rounding errors are allowed | MRK |
(T1)Time_Sensitive_Data_Fetching_077 | 中证1000的最新价格 | 必答点：中证1000指数最新股票价格（即最新交易日收盘价）
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 000852.SH | 000852.SH | {"000852___SH":{"RT_TIME":"150009","RT_LAST":"6976.49","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_078 | The opening price of Thermo Fisher Scientific on the latest trading day | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | TMO.N | 106.TMO.USA | {"TMO___N":{"RT_TIME":"200001","RT_OPEN":"480.44","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of Thermo Fisher Scientific
Accuracy Requirements: Only rounding errors are allowed | TMO |
(T1)Time_Sensitive_Data_Fetching_078 | 恒生科技指数最新价格 | 必答点：恒生科技指数最新股票价格（即最新交易日收盘价）
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | HSTECH.HI | HSTECH.HI | {"HSTECH___HI":{"RT_TIME":"160826","RT_LAST":"5576.03","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_079 | Amgen's latest trading day opening price | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | AMGN.O | 105.AMGN.USA | {"AMGN___O":{"RT_TIME":"200000","RT_OPEN":"285.32","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of Amgen
Accuracy Requirements: Only rounding errors are allowed | AMGN |
(T1)Time_Sensitive_Data_Fetching_079 | 恒生指数最新价格 | 必答点：恒生指数最新股票价格（即最新交易日收盘价）
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | HSI.HI | HSI.HI | {"HSI___HI":{"RT_TIME":"160903","RT_LAST":"25519.32","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_080 | Pfizer's opening price on the latest trading day (NYSE) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | PFE.N | 106.PFE.USA | {"PFE___N":{"RT_TIME":"200001","RT_OPEN":"24.745","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of Pfizer
Accuracy Requirements: Only rounding errors are allowed | PFE |
(T1)Time_Sensitive_Data_Fetching_080 | 北证50最新交易日最高价 | 必答点：北证50指数最新交易日的最高价
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 899050.BJ | 899050.BJ | {"899050___BJ":{"RT_TIME":"150014","RT_DATE":"20250814","RT_HIGH":"1463.549"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_081 | PayPal(NASDAQ)'s latest opening price | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | PYPL.O | 105.PYPL.USA | {"PYPL___O":{"RT_TIME":"200000","RT_OPEN":"68.23","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of PayPal
Accuracy Requirements: Only rounding errors are allowed | PYPL |
(T1)Time_Sensitive_Data_Fetching_081 | 创业板指最新交易日涨跌幅（基于昨日收盘价和当日收盘价） | 必答点：创业板指数的最新涨跌幅（基于昨日收盘价和当日收盘价的价格变动）
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 399006.SZ | 399006.SZ | {"399006___SZ":{"RT_TIME":"150003","RT_PCT_CHG":"-0.0108","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_082 | Opening price of Block (XYZ) on NYSE | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | XYZ.N | 106.XYZ.USA | {"XYZ___N":{"RT_TIME":"200001","RT_OPEN":"74.765","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of Block
Accuracy Requirements: Only rounding errors are allowed | XYZ |
(T1)Time_Sensitive_Data_Fetching_082 | 富时中国A50指数最新最高价 | 必答点：富时中国A50指数最新交易日的最高价
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 830009.XI | - | {"830009___XI":{"RT_TIME":"153100","RT_DATE":"20250814","RT_HIGH":"14351.81"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_083 | Opening price of NextEra Energy (NYSE) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | NEE.N | 106.NEE.USA | {"NEE___N":{"RT_TIME":"200001","RT_OPEN":"71.9","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of NextEra Energy
Accuracy Requirements: Only rounding errors are allowed | NEE |
(T1)Time_Sensitive_Data_Fetching_083 | 欧菲光最近一个交易日的开盘价 | 必答点：欧菲光最新交易日的开盘价
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 002456.SZ | 002456.SZ | {"002456___SZ":{"RT_TIME":"150000","RT_OPEN":"11.790000000000001","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_084 | Latest opening price of Lockheed Martin(NYSE) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | LMT.N | 106.LMT.USA | {"LMT___N":{"RT_TIME":"200001","RT_OPEN":"432.52","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of Lockheed Martin
Accuracy Requirements: Only rounding errors are allowed | LMT |
(T1)Time_Sensitive_Data_Fetching_084 | A股宇信科技最新涨幅（基于昨日收盘价和当日收盘价） | 必答点：A股宇信科技的最新涨跌幅（基于昨日收盘价和当日收盘价的价格变动）
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 300674.SZ | 300674.SZ | {"300674___SZ":{"RT_TIME":"153054","RT_PCT_CHG":"0.0362","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_085 | The latest opening price of BioNTech (NASDAQ) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | BNTX.O | 105.BNTX.USA | {"BNTX___O":{"RT_TIME":"200000","RT_OPEN":"111.5","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of BioNTech
Accuracy Requirements: Only rounding errors are allowed | BNTX |
(T1)Time_Sensitive_Data_Fetching_085 | 老浦黄金最新涨幅（基于昨日收盘价和当日收盘价） | 必答点：港股老浦黄金最新一个交易日的涨跌幅（基于昨日收盘价和当日收盘价的价格变动）
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 6181.HK | 06181.HK | {"6181___HK":{"RT_TIME":"160808","RT_PCT_CHG":"-0.012400000000000001","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_086 | The latest opening price of Rivian (NASDAQ) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | RIVN.O | 105.RIVN.USA | {"RIVN___O":{"RT_TIME":"200000","RT_OPEN":"12","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of Rivian
Accuracy Requirements: Only rounding errors are allowed | RIVN |
(T1)Time_Sensitive_Data_Fetching_086 | 北方稀土的最新最高价 | 必答点：北方稀土最新交易日的最高价
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 600111.SH | 600111.SH | {"600111___SH":{"RT_TIME":"150001","RT_DATE":"20250814","RT_HIGH":"39.28"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_087 | Lucid Group's latest opening price | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | LCID.O | 105.LCID.USA | {"LCID___O":{"RT_TIME":"200000","RT_OPEN":"2.29","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of Lucid Group
Accuracy Requirements: Only rounding errors are allowed | LCID |
(T1)Time_Sensitive_Data_Fetching_087 | 三峡水利的最新换手率 | 必答点：三峡水利最新交易日的换手率(基准：流通股本)
精度要求：允许误差范围绝对数值±0.01 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 600116.SH | {"600116___SH":{"RT_TIME":"150001","RT_TURN":"0.0045000000000000005","RT_DATE":"20250814"}} | 2025/8/14 | null | null | |
(T1)Time_Sensitive_Data_Fetching_088 | The latest opening price of First Solar (NASDAQ) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | FSLR.O | 105.FSLR.USA | {"FSLR___O":{"RT_TIME":"200000","RT_OPEN":"185.36","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of First Solar
Accuracy Requirements: Only rounding errors are allowed | FSLR |
(T1)Time_Sensitive_Data_Fetching_088 | 光明肉业的最新涨跌幅（基于昨日收盘价和当日收盘价） | 必答点：光明肉业最新一个交易日的涨跌幅（基于昨日收盘价和当日收盘价的价格变动）
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 600073.SH | 600073.SH | {"600073___SH":{"RT_TIME":"150004","RT_PCT_CHG":"-0.0155","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_089 | Latest opening price of Bloom Energy in the United States | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | BE.N | 106.BE.USA | {"BE___N":{"RT_TIME":"200001","RT_OPEN":"43","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of Bloom Energy
Accuracy Requirements: Only rounding errors are allowed | BE |
(T1)Time_Sensitive_Data_Fetching_089 | 上海机场的最新成交量 | 必答点：上海机场最新交易日的成交量
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 600009.SH | 600009.SH | {"600009___SH":{"RT_TIME":"150000","RT_DATE":"20250814","RT_VOL":"10479494"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_090 | Disney's latest opening price | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | DIS.N | 106.DIS.USA | {"DIS___N":{"RT_TIME":"200000","RT_OPEN":"114.23","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of Disney
Accuracy Requirements: Only rounding errors are allowed | DIS |
(T1)Time_Sensitive_Data_Fetching_090 | 包钢股份的最新价格 | 必答点：包钢股份的最新股票价格（即最新交易日收盘价）
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 600010.SH | 600010.SH | {"600010___SH":{"RT_TIME":"150002","RT_LAST":"2.5","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_091 | The latest opening price of Starbucks | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | SBUX.O | 105.SBUX.USA | {"SBUX___O":{"RT_TIME":"200000","RT_OPEN":"93.18","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of Starbucks
Accuracy Requirements: Only rounding errors are allowed | SBUX |
(T1)Time_Sensitive_Data_Fetching_091 | 民生银行A股的最新最低价 | 必答点：A股民生银行最新交易日的最低价
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 600016.SH | 600016.SH | {"600016___SH":{"RT_TIME":"150001","RT_DATE":"20250814","RT_LOW":"4.83"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_092 | Opening price of Bank of America (US stocks) on the latest trading day | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | BAC.N | 106.BAC.USA | {"BAC___N":{"RT_TIME":"195959","RT_OPEN":"47.68","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest opening price of Bank of America
Accuracy Requirements: Only rounding errors are allowed | BAC |
(T1)Time_Sensitive_Data_Fetching_092 | 日照港的换手率有多少 | 必答点：日照港最新交易日的换手率(基准：流通股本)
精度要求：允许误差范围绝对数值±0.01 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 600017.SH | {"600017___SH":{"RT_TIME":"150004","RT_TURN":"0.010400000000000001","RT_DATE":"20250814"}} | 2025/8/14 | null | null | |
(T1)Time_Sensitive_Data_Fetching_093 | Microsoft's latest stock price (US stocks) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | MSFT.O | 105.MSFT.USA | {"MSFT___O":{"RT_LAST":"520.58"}} | 2025/8/14 | Required Content: Microsoft's latest closing price
Accuracy Requirements: Only rounding errors are allowed | MSFT |
(T1)Time_Sensitive_Data_Fetching_093 | 中船科技的最新最高价 | 必答点：中船科技最新交易日的最高价
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 600072.SH | 600072.SH | {"600072___SH":{"RT_TIME":"150001","RT_DATE":"20250814","RT_HIGH":"13.27"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_094 | Meta's latest stock price in the US | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | META.O | 105.META.USA | {"META___O":{"RT_TIME":"200000","RT_LAST":"780.08","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: Meta's latest closing price
Accuracy Requirements: Only rounding errors are allowed | META |
(T1)Time_Sensitive_Data_Fetching_094 | 深证成指最新交易日最低价 | 必答点：深证成指最新交易日的最低价
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 399001.SZ | 399001.SZ | {"399001___SZ":{"RT_TIME":"150003","RT_DATE":"20250814","RT_LOW":"11417.93"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_095 | Latest stock price of TSMC in the US | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | TSM.N | 106.TSM.USA | {"TSM___N":{"RT_LAST":"241.44"}} | 2025/8/14 | Required Content: The latest closing price of TSMC
Accuracy Requirements: Only rounding errors are allowed | TSM |
(T1)Time_Sensitive_Data_Fetching_095 | 上证50的最新交易日最高价 | 必答点：上证50指数最新交易日的最高价
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 000016.SH | 000016.SH | {"000016___SH":{"RT_TIME":"150009","RT_DATE":"20250814","RT_HIGH":"2858.01"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_096 | Latest stock price of Netflix(NASDAQ) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | NFLX.O | 105.NFLX.USA | {"NFLX___O":{"RT_LAST":"1204.44"}} | 2025/8/14 | Required Content: The latest closing price of Netflix
Accuracy Requirements: Only rounding errors are allowed | NFLX |
(T1)Time_Sensitive_Data_Fetching_096 | 台湾加权指数的最新交易日价格 | 必答点：台湾加权指数的最新价格（即最新交易日收盘价）
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | TWII.TW | TWII.TW | {"TWII___TW":{"RT_TIME":"0","RT_LAST":"24238.100000000002","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_097 | Latest stock price of Oracle(NYSE) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | ORCL.N | 106.ORCL.USA | {"ORCL___N":{"RT_LAST":"244.18"}} | 2025/8/14 | Required Content: Oracle's latest closing price
Accuracy Requirements: Only rounding errors are allowed | ORCL |
(T1)Time_Sensitive_Data_Fetching_097 | 上证50的最新交易日收盘价 | 必答点：上证50最新交易日的收盘价
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 000016.SH | 000016.SH | {"000016___SH":{"RT_TIME":"150009","RT_LAST":"2829.4700000000003","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_098 | Latest stock price of Eli Lilly (USA) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | LLY.N | 106.LLY.USA | {"LLY___N":{"RT_LAST":"660.49"}} | 2025/8/14 | Required Content: The latest closing price of Eli Lilly
Accuracy Requirements: Only rounding errors are allowed | LLY |
(T1)Time_Sensitive_Data_Fetching_098 | 沪深300最新交易日最低价 | 必答点：沪深300指数最新交易日的最低价
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 000300.SH | 000300.SH | {"000300___SH":{"RT_TIME":"150009","RT_DATE":"20250814","RT_LOW":"4165.9400000000005"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_099 | Latest stock price of Johnson & Johnson (US stocks) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | JNJ.N | 106.JNJ.USA | {"JNJ___N":{"RT_LAST":"174.42000000000002"}} | 2025/8/14 | Required Content: Johnson & Johnson's latest closing price
Accuracy Requirements: Only rounding errors are allowed | JNJ |
(T1)Time_Sensitive_Data_Fetching_099 | 中证2000的最新交易日最高价是多少 | 必答点：中证2000指数最新交易日的最高价
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | 932000.CSI | 932000.CSI | {"932000___CSI":{"RT_TIME":"150011","RT_DATE":"20250814","RT_HIGH":"3027.61"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_100 | Latest stock price of Merck(NYSE) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | MRK.N | 106.MRK.USA | {"MRK___N":{"RT_LAST":"82.71000000000001"}} | 2025/8/14 | Required Content: The latest closing price of Merck
Accuracy Requirements: Only rounding errors are allowed | MRK |
(T1)Time_Sensitive_Data_Fetching_100 | 澳元兑人民币最新汇率中间价 | 必答点：澳元兑人民币最新汇率中间价（单位：人民币/澳元）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | AUDCNY.EX | AUDCNYC | {"AUDCNY___EX":{"RT_TIME":"91509","RT_LAST":"4.6788","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_101 | The latest stock price of Thermo Fisher Scientific in US stock market | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | TMO.N | 106.TMO.USA | {"TMO___N":{"RT_TIME":"200001","RT_LAST":"484.79","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest closing price of Thermo Fisher Scientific
Accuracy Requirements: Only rounding errors are allowed | TMO |
(T1)Time_Sensitive_Data_Fetching_101 | 加币兑人民币最新汇率中间价 | 必答点：加币兑人民币最新汇率中间价（单位：人民币/加币）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | CADCNY.EX | CADCNYC | {"CADCNY___EX":{"RT_TIME":"91509","RT_LAST":"5.1958","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_102 | Latest stock price of Pfizer(NYSE) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | PFE.N | 106.PFE.USA | {"PFE___N":{"RT_LAST":"25.16"}} | 2025/8/14 | Required Content: The latest closing price of Pfizer
Accuracy Requirements: Only rounding errors are allowed | PFE |
(T1)Time_Sensitive_Data_Fetching_102 | 欧元兑人民币最新汇率中间价 | 必答点：欧元兑人民币最新汇率中间价（单位：人民币/欧元）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | EURCNY.EX | EURCNYC | {"EURCNY___EX":{"RT_TIME":"91509","RT_LAST":"8.364700000000001","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_103 | Latest stock price of PayPal (NASDAQ) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | PYPL.O | 105.PYPL.USA | {"PYPL___O":{"RT_TIME":"200000","RT_LAST":"70.63","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: PayPal's latest closing price
Accuracy Requirements: Only rounding errors are allowed | PYPL |
(T1)Time_Sensitive_Data_Fetching_103 | 英镑兑人民币最新汇率中间价 | 必答点：英镑兑人民币最新汇率中间价（单位：人民币/英镑）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | GBPCNY.EX | GBPCNYC | {"GBPCNY___EX":{"RT_TIME":"91509","RT_LAST":"9.7074","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_104 | Latest stock price of Block (XYZ) on NYSE | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | XYZ.N | 106.XYZ.USA | {"XYZ___N":{"RT_TIME":"200001","RT_LAST":"76.95","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest closing price of Block
Accuracy Requirements: Only rounding errors are allowed | XYZ |
(T1)Time_Sensitive_Data_Fetching_104 | 新西兰元兑人民币最新中间价 | 必答点：新西兰元兑人民币最新汇率中间价（单位：人民币/新西兰元）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | NZDCNY.EX | NZDCNYC | {"NZDCNY___EX":{"RT_TIME":"91509","RT_LAST":"4.2757000000000005","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_105 | Latest stock price of Goldman Sachs(NYSE) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | GS.N | 106.GS.USA | {"GS___N":{"RT_TIME":"200001","RT_LAST":"744.69","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest closing price of Goldman Sachs
Accuracy Requirements: Only rounding errors are allowed | GS |
(T1)Time_Sensitive_Data_Fetching_105 | 人民币兑韩元最新汇率中间价 | 必答点：人民币兑韩元最新汇率中间价（单位：韩元/人民币）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | CNYKRW.EX | CNYKRWC | {"CNYKRW___EX":{"RT_TIME":"91509","RT_LAST":"192.73000000000002","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_106 | Latest stock price of NextEra Energy (NYSE) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | NEE.N | 106.NEE.USA | {"NEE___N":{"RT_TIME":"200001","RT_LAST":"72.3","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: NextEra Energy latest closing price
Accuracy Requirements: Only rounding errors are allowed | NEE |
(T1)Time_Sensitive_Data_Fetching_106 | 港元兑人民币最新中间价 | 必答点：港元兑人民币最新汇率中间价（单位：人民币/港元）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | HKDCNY.EX | HKDCNYC | {"HKDCNY___EX":{"RT_TIME":"91509","RT_LAST":"0.90887","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_107 | Latest stock price of Caterpillar(NYSE) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | CAT.N | 106.CAT.USA | {"CAT___N":{"RT_TIME":"200001","RT_LAST":"413.7","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: Caterpillar's latest closing price
Accuracy Requirements: Only rounding errors are allowed | CAT |
(T1)Time_Sensitive_Data_Fetching_107 | 瑞郎兑人民币最新中间价 | 必答点：瑞郎兑人民币最新汇率中间价（单位：人民币/瑞郎）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | CHFCNY.EX | CHFCNYC | {"CHFCNY___EX":{"RT_TIME":"91509","RT_LAST":"8.8736","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_108 | Boeing's latest closing price (NYSE) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | BA.N | 106.BA.USA | {"BA___N":{"RT_TIME":"195930","RT_LAST":"233.37","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: Boeing's latest closing price
Accuracy Requirements: Only rounding errors are allowed | BA |
(T1)Time_Sensitive_Data_Fetching_108 | 新加坡元兑人民币最新中间价 | 必答点：新加坡元兑人民币最新汇率中间价（单位：人民币/新加坡元）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | SGDCNY.EX | SGDCNYC | {"SGDCNY___EX":{"RT_TIME":"91509","RT_LAST":"5.580900000000001","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_109 | Latest closing price of Union Pacific (NYSE) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | UNP.N | 106.UNP.USA | {"UNP___N":{"RT_TIME":"200001","RT_LAST":"223.18","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest closing price of Union Pacific
Accuracy Requirements: Only rounding errors are allowed | UNP |
(T1)Time_Sensitive_Data_Fetching_109 | 人民币兑卢布最新中间价 | 必答点：人民币兑俄罗斯卢布最新汇率中间价（单位：卢布/人民币）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | CNYRUB.EX | CNYRUBC | {"CNYRUB___EX":{"RT_TIME":"91509","RT_LAST":"11.0807","RT_DATE":"20250814"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_110 | The latest closing price of Lockheed Martin (NYSE) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | LMT.N | 106.LMT.USA | {"LMT___N":{"RT_TIME":"200001","RT_LAST":"442.57","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: Lockheed Martin's recent closing price
Accuracy Requirements: Only rounding errors are allowed | LMT |
(T1)Time_Sensitive_Data_Fetching_110 | 欧元兑人民币离岸的最新价格 | 必答点：欧元兑离岸人民币最新价格（单位：人民币/欧元）
只需答对离岸汇率即可，与其他汇率（中间价，在岸汇率等）实时信息不一样的不扣分
精度要求：答案落在最高价最低价区间即可 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | EURCNH.FX | EURCNH | {"EURCNH___FX":{"RT_TIME":"83525","RT_LAST":"8.3772","RT_DATE":"20250814","RT_HIGH":"8.4121","RT_LOW":"8.362400000000001"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_111 | Latest closing price of Rivian's US stocks | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | RIVN.O | 105.RIVN.USA | {"RIVN___O":{"RT_TIME":"200000","RT_LAST":"12.280000000000001","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: Rivian's latest closing price
Accuracy Requirements: Only rounding errors are allowed | RIVN |
(T1)Time_Sensitive_Data_Fetching_111 | 美元兑人民币离岸的最新价格 | 必答点：美元兑离岸人民币最新价格（单位：人民币/美元）
只需答对离岸汇率即可，与其他汇率（中间价，在岸汇率等）实时信息不一样的不扣分
精度要求：答案落在最高价最低价区间即可 | 【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response} | 你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求... | Time-Sensitive_Data_Fetching(Greater China) | USDCNH.FX | USDCNH | {"USDCNH___FX":{"RT_TIME":"83518","RT_LAST":"7.176959999999999","RT_DATE":"20250814","RT_HIGH":"7.18183","RT_LOW":"7.167599999999999"}} | 2025/8/14 | null | null |
(T1)Time_Sensitive_Data_Fetching_112 | Latest closing price of Palantir's stock in the US market | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | PLTR.O | 105.PLTR.USA | {"PLTR___O":{"RT_TIME":"200000","RT_LAST":"184.37","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: Palantir latest closing price
Accuracy Requirements: Only rounding errors are allowed | PLTR |
(T1)Time_Sensitive_Data_Fetching_113 | Vistra's latest closing price in the US stock market | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | VST.N | 106.VST.USA | {"VST___N":{"RT_TIME":"195810","RT_LAST":"205.28","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest closing price of Vistra
Accuracy Requirements: Only rounding errors are allowed | VST |
(T1)Time_Sensitive_Data_Fetching_114 | Snowflake's stock latest closing price | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | SNOW.N | 106.SNOW.USA | {"SNOW___N":{"RT_TIME":"200001","RT_LAST":"196.87","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest closing price of Snowflake
Accuracy Requirements: Only rounding errors are allowed | SNOW |
(T1)Time_Sensitive_Data_Fetching_115 | Latest closing price of First Solar (NASDAQ) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | FSLR.O | 105.FSLR.USA | {"FSLR___O":{"RT_TIME":"200000","RT_LAST":"184.84","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest closing price of First Solar
Accuracy Requirements: Only rounding errors are allowed | FSLR |
(T1)Time_Sensitive_Data_Fetching_116 | Latest closing price of Bloom Energy(NYSE) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | BE.N | 106.BE.USA | {"BE___N":{"RT_TIME":"200001","RT_LAST":"44.08","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest closing price of Bloom Energy
Accuracy Requirements: Only rounding errors are allowed | BE |
(T1)Time_Sensitive_Data_Fetching_117 | Disney's latest closing price on the NYSE | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | DIS.N | 106.DIS.USA | {"DIS___N":{"RT_TIME":"200000","RT_LAST":"116.64","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest closing price of Disney
Accuracy Requirements: Only rounding errors are allowed | DIS |
(T1)Time_Sensitive_Data_Fetching_118 | The latest trading day's closing price of Wells Fargo (NYSE) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | WFC.N | 106.WFC.USA | {"WFC___N":{"RT_TIME":"195942","RT_LAST":"77.89","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest closing price of Wells Fargo
Accuracy Requirements: Only rounding errors are allowed | WFC |
(T1)Time_Sensitive_Data_Fetching_119 | Closing price of Bank of America's stock on the latest trading day (allowing for rounding errors) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | BAC.N | 106.BAC.USA | {"BAC___N":{"RT_TIME":"195959","RT_LAST":"47.24","RT_DATE":"20250813"}} | 2025/8/14 | Required Content: The latest closing price of Bank of America
Accuracy Requirements: Only rounding errors are allowed | BAC |
(T1)Time_Sensitive_Data_Fetching_120 | The latest trading day's low price of Apple (NASDAQ) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | AAPL.O | 105.AAPL.USA | {"AAPL___O":{"RT_TIME":"200000","RT_DATE":"20250813","RT_LOW":"230.43"}} | 2025/8/14 | Required Content: The latest low price of Apple
Accuracy Requirements: Only rounding errors are allowed | AAPL |
(T1)Time_Sensitive_Data_Fetching_121 | Low price for NVIDIA (NASDAQ) on the latest trading day | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | NVDA.O | 105.NVDA.USA | {"NVDA___O":{"RT_TIME":"200000","RT_DATE":"20250813","RT_LOW":"179.35"}} | 2025/8/14 | Required Content: The latest lowest price of NVIDIA
Accuracy Requirements: Only rounding errors are allowed | NVDA |
(T1)Time_Sensitive_Data_Fetching_122 | The latest low stock price of Amazon(NASDAQ) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | AMZN.O | 105.AMZN.USA | {"AMZN___O":{"RT_TIME":"200000","RT_DATE":"20250813","RT_LOW":"222"}} | 2025/8/14 | Required Content: The latest lowest price of Amazon
Accuracy Requirements: Only rounding errors are allowed | AMZN |
(T1)Time_Sensitive_Data_Fetching_123 | Oracle's latest low price (NYSE) | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | ORCL.N | 106.ORCL.USA | {"ORCL___N":{"RT_TIME":"195940","RT_DATE":"20250813","RT_LOW":"242.635"}} | 2025/8/14 | Required Content: The latest low price of Oracle
Accuracy Requirements: Only rounding errors are allowed | ORCL |
(T1)Time_Sensitive_Data_Fetching_124 | Lowest stock price for Coca-Cola for the latest trading day | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | KO.N | 106.KO.USA | {"KO___N":{"RT_TIME":"200001","RT_DATE":"20250813","RT_LOW":"70.23"}} | 2025/8/14 | Required Content: The latest lowest price of Coca-Cola
Accuracy Requirements: Only rounding errors are allowed | KO |
(T1)Time_Sensitive_Data_Fetching_125 | PepsiCo (NYSE) latest low stock price | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | PEP.O | 105.PEP.USA | {"PEP___O":{"RT_TIME":"200000","RT_DATE":"20250813","RT_LOW":"146.85"}} | 2025/8/14 | Required Content: The latest lowest price of PepsiCo
Accuracy Requirements: Only rounding errors are allowed | PEP |
(T1)Time_Sensitive_Data_Fetching_126 | Low stock price for Procter & Gamble (NYSE) on the latest day | null | <Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response} | You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first,... | Time-Sensitive_Data_Fetching(Global) | PG.N | 106.PG.USA | {"PG___N":{"RT_TIME":"200001","RT_DATE":"20250813","RT_LOW":"154.95000000000002"}} | 2025/8/14 | Required Content: The latest lowest price of Procter & Gamble
Accuracy Requirements: Only rounding errors are allowed | PG |
Subsets and Splits
SQL Console for ByteSeedXpert/FinSearchComp
Filters training data for specific prompt IDs and labels, providing basic subset analysis but offering limited insight into broader patterns or relationships within the dataset.
Train Data: T2 & Greater China
Filters training data for specific prompt IDs and labels, providing basic categorical data retrieval but offering limited analytical insight beyond simple matching.
Greater China Prompts Filter
Filters training data for specific prompt IDs and labels related to Greater China, providing basic subset retrieval but offering limited analytical insight into the dataset's broader patterns or relationships.
Search Greater China Prompts
This query filters records containing specific ID patterns and labels, but provides only basic filtered data without revealing meaningful patterns or relationships in the dataset.
T1 Prompts for Greater China
Retrieves a subset of training data filtered by specific prompt and label patterns, but doesn't provide meaningful analysis or reveal patterns beyond basic filtering.
Train Subset for Greater China
Retrieves specific records matching pattern conditions but doesn't provide meaningful analysis or insights beyond basic filtering.
Global Labels in T3 Prompts
The query retrieves all records with a label containing 'Global' and a prompt_id containing 'T3', providing basic filtering but limited analytical value.
Filter Global Labels, T2 IDs
Retrieves records with specific labels and prompt IDs, providing limited filtered data that doesn't offer deep insights.
Global Labels from Train Set
The query filters the dataset for rows containing 'Global' in the label and 'T1' in the prompt_id, providing a basic subset of the data with limited analytical insight.
Training Data with T2 Id
Retrieves all records from the train dataset where the prompt_id contains 'T2', providing a basic filtered view of specific prompts.
SQL Console for ByteSeedXpert/FinSearchComp
Retrieves a limited number of entries with a specific label, providing basic filtering but minimal analytical insight.
SQL Console for ByteSeedXpert/FinSearchComp
Retrieves a limited number of records with a specific label, providing basic filtering but minimal analytical insight.
SQL Console for ByteSeedXpert/FinSearchComp
Retrieves a limited number of samples with a specific label, providing basic filtering but minimal analytical insight.