Hugging Face's logo

Datasets:
erfanSO
/
financial-fundamentals-tool-calling

Tasks:
Text Generation
Modalities:
Text
Formats:
arrow
Languages:
English
Size:
1K - 10K
Tags:
tool_calling
Qwen3_4B
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
 Community
Dataset Viewer
Auto-converted to Parquet Duplicate
messages
listlengths
3
3
text
stringlengths
815
1.31k
query
stringlengths
40
406
completion
stringlengths
148
355
metadata
unknown
source_index
int64
1
3.1k
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What data exists for Broadcom in terms of net income and diluted shares between 2006 and 2018? And separately, what revenue and free cash flow figures are recorded for Apartment Investment and Manage over the identical timeframe? Keep the company-specific assignments clear and include all values from the defined years.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Broadcom"],"metrics":["Net Income","Diluted Shares"],"start_year":2006,"end_year":2018},{"symbols":["Apartment Investment and Manage"],"metrics":["Free Cash Flow","Revenue"],"start_year":2006,"end_year":2018}]}}
{ "iteration": 211, "companies": [ "Broadcom", "Apartment Investment and Manage" ], "symbols": [ "AVGO", "AIV" ], "features": [ "Net Income", "Diluted Shares", "Free Cash Flow", "Revenue" ], "metrics": [ "netIncome", "diluted_shares", "fcf", "totalRevenue"...
1
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Advanced Micro Devices, extract the Free Cash Flow data spanning from 2006 to 2016. Additionally, gather the Diluted Shares and Net Income figures for Elevance Health during the same time period, specifically from 2006 through 2016.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Advanced Micro Devices"],"metrics":["Free Cash Flow"],"start_year":2006,"end_year":2016},{"symbols":["Elevance Health"],"metrics":["Diluted Shares","Net Income"],"start_year":2006,"end_year":2016}]}}
{ "iteration": 212, "companies": [ "Advanced Micro Devices", "Elevance Health" ], "symbols": [ "AMD", "ELV" ], "features": [ "Free Cash Flow", "Diluted Shares", "Net Income" ], "metrics": [ "fcf", "diluted_shares", "netIncome" ], "start_year": 2006, "end_yea...
2
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What Free Cash Flow values were recorded by Advanced Micro Devices between 2006 and 2016? And, what were the Diluted Shares and Net Income figures for Elevance Health over the identical timeframe, from 2006 to 2016?
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Advanced Micro Devices"],"metrics":["Free Cash Flow"],"start_year":2006,"end_year":2016},{"symbols":["Elevance Health"],"metrics":["Diluted Shares","Net Income"],"start_year":2006,"end_year":2016}]}}
{ "iteration": 212, "companies": [ "Advanced Micro Devices", "Elevance Health" ], "symbols": [ "AMD", "ELV" ], "features": [ "Free Cash Flow", "Diluted Shares", "Net Income" ], "metrics": [ "fcf", "diluted_shares", "netIncome" ], "start_year": 2006, "end_yea...
3
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Lowe's Companies, please provide the Diluted Shares and Free Cash Flow values from 2010 through 2017. Additionally, for Fidelity National Information S and S&P Global, retrieve the Revenue and Net Income figures during the same period, ensuring all data is aligned with the specified timeframe.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Lowe's Companies"],"metrics":["Free Cash Flow","Diluted Shares"],"start_year":2010,"end_year":2017},{"symbols":["Fidelity National Information S","S&P Global"],"metrics":["Net Income","Revenue"],"start_year":2010,"end_year":2017}]}}
{ "iteration": 213, "companies": [ "Lowe's Companies", "Fidelity National Information S", "S&P Global" ], "symbols": [ "LOW", "FIS", "SPGI" ], "features": [ "Free Cash Flow", "Diluted Shares", "Net Income", "Revenue" ], "metrics": [ "fcf", "diluted_shares"...
4
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What data exists for Fidelity National Information S and S&P Global in terms of Revenue and Net Income between 2010 and 2017? Likewise, what information is available for Lowe's Companies regarding Diluted Shares and Free Cash Flow over the same years? All entries must correspond exactly to the defined companies and met...
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Lowe's Companies"],"metrics":["Free Cash Flow","Diluted Shares"],"start_year":2010,"end_year":2017},{"symbols":["Fidelity National Information S","S&P Global"],"metrics":["Net Income","Revenue"],"start_year":2010,"end_year":2017}]}}
{ "iteration": 213, "companies": [ "Lowe's Companies", "Fidelity National Information S", "S&P Global" ], "symbols": [ "LOW", "FIS", "SPGI" ], "features": [ "Free Cash Flow", "Diluted Shares", "Net Income", "Revenue" ], "metrics": [ "fcf", "diluted_shares"...
5
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Akamai Technologies, extract the Diluted Shares data from 2010 to 2022. For Procter & Gamble and QUALCOMM, retrieve the Net Income and Intrinsic Value figures during the same time period—specifically from 2010 through 2022.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Akamai Technologies"],"metrics":["Diluted Shares"],"start_year":2010,"end_year":2022},{"symbols":["Procter & Gamble","QUALCOMM"],"metrics":["Net Income","Intrinsic Value"],"start_year":2010,"end_year":2022}]}}
{ "iteration": 214, "companies": [ "Akamai Technologies", "Procter & Gamble", "QUALCOMM" ], "symbols": [ "AKAM", "PG", "QCOM" ], "features": [ "Diluted Shares", "Net Income", "Intrinsic Value" ], "metrics": [ "diluted_shares", "netIncome", "iv" ], "sta...
6
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Cisco Systems, please provide the Free Cash Flow and Intrinsic Value values from 2015. Additionally, for AES and PepsiCo, retrieve the Revenue and Diluted Shares data during the same year, 2015.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Cisco Systems"],"metrics":["Intrinsic Value","Free Cash Flow"],"start_year":2015,"end_year":2015},{"symbols":["Pepsico","AES"],"metrics":["Revenue","Diluted Shares"],"start_year":2015,"end_year":2015}]}}
{ "iteration": 215, "companies": [ "Cisco Systems", "Pepsico", "AES" ], "symbols": [ "CSCO", "PEP", "AES" ], "features": [ "Intrinsic Value", "Free Cash Flow", "Revenue", "Diluted Shares" ], "metrics": [ "iv", "fcf", "totalRevenue", "diluted_shares...
8
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What Free Cash Flow and Intrinsic Value figures did Cisco Systems report in 2015? And what Revenue and Diluted Shares data were recorded by AES and PepsiCo in that same year? Keep all information strictly for the 2015 period, without any extension or comparison.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Cisco Systems"],"metrics":["Intrinsic Value","Free Cash Flow"],"start_year":2015,"end_year":2015},{"symbols":["Pepsico","AES"],"metrics":["Revenue","Diluted Shares"],"start_year":2015,"end_year":2015}]}}
{ "iteration": 215, "companies": [ "Cisco Systems", "Pepsico", "AES" ], "symbols": [ "CSCO", "PEP", "AES" ], "features": [ "Intrinsic Value", "Free Cash Flow", "Revenue", "Diluted Shares" ], "metrics": [ "iv", "fcf", "totalRevenue", "diluted_shares...
9
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Booking Holdings Inc, retrieve the Revenue and Free Cash Flow values from 2008 to 2011. Additionally, for Amphenol and United Parcel Service, provide the Diluted Shares and Intrinsic Value figures during the same period.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Booking Holdings Inc"],"metrics":["Revenue","Free Cash Flow"],"start_year":2008,"end_year":2011},{"symbols":["Amphenol","United Parcel Service"],"metrics":["Intrinsic Value","Diluted Shares"],"start_year":2008,"end_year":2011}]}}
{ "iteration": 216, "companies": [ "Booking Holdings Inc", "Amphenol", "United Parcel Service" ], "symbols": [ "BKNG", "APH", "UPS" ], "features": [ "Revenue", "Free Cash Flow", "Intrinsic Value", "Diluted Shares" ], "metrics": [ "totalRevenue", "fcf", ...
10
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What data on Revenue and Free Cash Flow is available for Booking Holdings Inc between 2008 and 2011? And what about the Diluted Shares and Intrinsic Value for Amphenol and United Parcel Service over the same timeframe?
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Booking Holdings Inc"],"metrics":["Revenue","Free Cash Flow"],"start_year":2008,"end_year":2011},{"symbols":["Amphenol","United Parcel Service"],"metrics":["Intrinsic Value","Diluted Shares"],"start_year":2008,"end_year":2011}]}}
{ "iteration": 216, "companies": [ "Booking Holdings Inc", "Amphenol", "United Parcel Service" ], "symbols": [ "BKNG", "APH", "UPS" ], "features": [ "Revenue", "Free Cash Flow", "Intrinsic Value", "Diluted Shares" ], "metrics": [ "totalRevenue", "fcf", ...
11
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For the period spanning from 2017 to 2019, what were the Free Cash Flow figures for PNC Financial Services Group, I, and separately, what Net Income and Intrinsic Value data are recorded for Netflix and Charles Schwab Corporation (The)?
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["PNC Financial Services Group, I"],"metrics":["Free Cash Flow"],"start_year":2017,"end_year":2019},{"symbols":["Charles Schwab Corporation (The","Netflix"],"metrics":["Net Income","Intrinsic Value"],"start_year":2017,"end_year":2019}]}}
{ "iteration": 217, "companies": [ "PNC Financial Services Group, I", "Charles Schwab Corporation (The", "Netflix" ], "symbols": [ "PNC", "SCHW", "NFLX" ], "features": [ "Free Cash Flow", "Net Income", "Intrinsic Value" ], "metrics": [ "fcf", "netIncome", ...
12
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
Between the years 2017 and 2019, retrieve the Free Cash Flow for PNC Financial Services Group, I, and provide the corresponding Net Income and Intrinsic Value values for both Netflix and Charles Schwab Corporation (The), maintaining a clear separation of data by company and metric.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["PNC Financial Services Group, I"],"metrics":["Free Cash Flow"],"start_year":2017,"end_year":2019},{"symbols":["Charles Schwab Corporation (The","Netflix"],"metrics":["Net Income","Intrinsic Value"],"start_year":2017,"end_year":2019}]}}
{ "iteration": 217, "companies": [ "PNC Financial Services Group, I", "Charles Schwab Corporation (The", "Netflix" ], "symbols": [ "PNC", "SCHW", "NFLX" ], "features": [ "Free Cash Flow", "Net Income", "Intrinsic Value" ], "metrics": [ "fcf", "netIncome", ...
13
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Linde, extract the Revenue and Net Income values from their financial records covering the period between 2022 and 2022. For Duke Energy Corporation (Holdin' and Meta Platforms, obtain the Free Cash Flow and Intrinsic Value metrics during the same timeframe, specifically from 2022 to 2022.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Linde"],"metrics":["Revenue","Net Income"],"start_year":2022,"end_year":2022},{"symbols":["Duke Energy Corporation (Holdin","Meta Platforms"],"metrics":["Free Cash Flow","Intrinsic Value"],"start_year":2022,"end_year":2022}]}}
{ "iteration": 218, "companies": [ "Linde", "Duke Energy Corporation (Holdin", "Meta Platforms" ], "symbols": [ "LIN", "DUK", "META" ], "features": [ "Revenue", "Net Income", "Free Cash Flow", "Intrinsic Value" ], "metrics": [ "totalRevenue", "netIncome", ...
14
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What financial data did Linde report in 2022, including Revenue and Net Income? Additionally, what figures did Duke Energy Corporation (Holdin' and Meta Platforms generate in the same year for Free Cash Flow and Intrinsic Value? All data should be limited to the 2022 fiscal period.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Linde"],"metrics":["Revenue","Net Income"],"start_year":2022,"end_year":2022},{"symbols":["Duke Energy Corporation (Holdin","Meta Platforms"],"metrics":["Free Cash Flow","Intrinsic Value"],"start_year":2022,"end_year":2022}]}}
{ "iteration": 218, "companies": [ "Linde", "Duke Energy Corporation (Holdin", "Meta Platforms" ], "symbols": [ "LIN", "DUK", "META" ], "features": [ "Revenue", "Net Income", "Free Cash Flow", "Intrinsic Value" ], "metrics": [ "totalRevenue", "netIncome", ...
15
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Fiserv, extract the Diluted Shares data from 2023 to 2024. Additionally, retrieve the Net Income and Free Cash Flow figures for both Cigna Group and Netflix during the same period.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Fiserv"],"metrics":["Diluted Shares"],"start_year":2023,"end_year":2024},{"symbols":["Cigna Group","Netflix"],"metrics":["Free Cash Flow","Net Income"],"start_year":2023,"end_year":2024}]}}
{ "iteration": 219, "companies": [ "Fiserv", "Cigna Group", "Netflix" ], "symbols": [ "FISV", "CI", "NFLX" ], "features": [ "Diluted Shares", "Free Cash Flow", "Net Income" ], "metrics": [ "diluted_shares", "fcf", "netIncome" ], "start_year": 2023, "...
16
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What values did Cigna Group and Netflix show for Net Income and Free Cash Flow between 2023 and 2024? Also, provide Fiserv’s Diluted Shares data for those exact years.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Fiserv"],"metrics":["Diluted Shares"],"start_year":2023,"end_year":2024},{"symbols":["Cigna Group","Netflix"],"metrics":["Free Cash Flow","Net Income"],"start_year":2023,"end_year":2024}]}}
{ "iteration": 219, "companies": [ "Fiserv", "Cigna Group", "Netflix" ], "symbols": [ "FISV", "CI", "NFLX" ], "features": [ "Diluted Shares", "Free Cash Flow", "Net Income" ], "metrics": [ "diluted_shares", "fcf", "netIncome" ], "start_year": 2023, "...
17
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What data points are available for RTX in terms of Revenue between 2018 and 2025, and what financial indicators—specifically Net Income and Free Cash Flow—can be found for Mastercard over the same years?
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["RTX"],"metrics":["Revenue"],"start_year":2018,"end_year":2025},{"symbols":["Mastercard"],"metrics":["Free Cash Flow","Net Income"],"start_year":2018,"end_year":2025}]}}
{ "iteration": 220, "companies": [ "RTX", "Mastercard" ], "symbols": [ "RTX", "MA" ], "features": [ "Revenue", "Free Cash Flow", "Net Income" ], "metrics": [ "totalRevenue", "fcf", "netIncome" ], "start_year": 2018, "end_year": 2025, "raw_model_output": "Q...
19
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Amgen, extract the Revenue figures from 2018 to 2024. For Linde, retrieve both Net Income and Intrinsic Value during the same time frame, specifically between 2018 and 2024.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Amgen"],"metrics":["Revenue"],"start_year":2018,"end_year":2024},{"symbols":["Linde"],"metrics":["Intrinsic Value","Net Income"],"start_year":2018,"end_year":2024}]}}
{ "iteration": 221, "companies": [ "Amgen", "Linde" ], "symbols": [ "AMGN", "LIN" ], "features": [ "Revenue", "Intrinsic Value", "Net Income" ], "metrics": [ "totalRevenue", "iv", "netIncome" ], "start_year": 2018, "end_year": 2024, "raw_model_output": "Q1...
20
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Amazon.com, retrieve the Net Income values spanning from 2013 to 2022. For International Business Machines and Walmart, provide the Diluted Shares and Intrinsic Value data during the same period.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Amazon.com"],"metrics":["Net Income"],"start_year":2013,"end_year":2022},{"symbols":["International Business Machines","Walmart"],"metrics":["Diluted Shares","Intrinsic Value"],"start_year":2013,"end_year":2022}]}}
{ "iteration": 222, "companies": [ "Amazon.com", "International Business Machines", "Walmart" ], "symbols": [ "AMZN", "IBM", "WMT" ], "features": [ "Net Income", "Diluted Shares", "Intrinsic Value" ], "metrics": [ "netIncome", "diluted_shares", "iv" ], ...
22
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What Net Income figures did Amazon.com report between 2013 and 2022? And what specific details—such as Diluted Shares and Intrinsic Value—were recorded for International Business Machines and Walmart across the same timeframe?
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Amazon.com"],"metrics":["Net Income"],"start_year":2013,"end_year":2022},{"symbols":["International Business Machines","Walmart"],"metrics":["Diluted Shares","Intrinsic Value"],"start_year":2013,"end_year":2022}]}}
{ "iteration": 222, "companies": [ "Amazon.com", "International Business Machines", "Walmart" ], "symbols": [ "AMZN", "IBM", "WMT" ], "features": [ "Net Income", "Diluted Shares", "Intrinsic Value" ], "metrics": [ "netIncome", "diluted_shares", "iv" ], ...
23
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Best Buy Co, extract the Free Cash Flow values from the financial records spanning the years 2021 to 2025. Additionally, retrieve the Revenue and Net Income figures for Altria Group during the same period, ensuring each metric is clearly attributed to its respective company.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Best Buy Co"],"metrics":["Free Cash Flow"],"start_year":2021,"end_year":2025},{"symbols":["Altria Group"],"metrics":["Net Income","Revenue"],"start_year":2021,"end_year":2025}]}}
{ "iteration": 223, "companies": [ "Best Buy Co", "Altria Group" ], "symbols": [ "BBY", "MO" ], "features": [ "Free Cash Flow", "Net Income", "Revenue" ], "metrics": [ "fcf", "netIncome", "totalRevenue" ], "start_year": 2021, "end_year": 2025, "raw_model_o...
24
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For NVIDIA, please provide the Revenue and Intrinsic Value values from 2018 through 2020. Additionally, for Alphabet and Danaher, retrieve the Diluted Shares and Net Income figures during the same time period.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["NVIDIA"],"metrics":["Revenue","Intrinsic Value"],"start_year":2018,"end_year":2020},{"symbols":["Danaher","Alphabet"],"metrics":["Diluted Shares","Net Income"],"start_year":2018,"end_year":2020}]}}
{ "iteration": 224, "companies": [ "NVIDIA", "Danaher", "Alphabet" ], "symbols": [ "NVDA", "DHR", "GOOGL" ], "features": [ "Revenue", "Intrinsic Value", "Diluted Shares", "Net Income" ], "metrics": [ "totalRevenue", "iv", "diluted_shares", "netInco...
26
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What data exists for Alphabet and Danaher in terms of Diluted Shares and Net Income between 2018 and 2020? Specifically, what Revenue and Intrinsic Value records are available for NVIDIA during those years?
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["NVIDIA"],"metrics":["Revenue","Intrinsic Value"],"start_year":2018,"end_year":2020},{"symbols":["Danaher","Alphabet"],"metrics":["Diluted Shares","Net Income"],"start_year":2018,"end_year":2020}]}}
{ "iteration": 224, "companies": [ "NVIDIA", "Danaher", "Alphabet" ], "symbols": [ "NVDA", "DHR", "GOOGL" ], "features": [ "Revenue", "Intrinsic Value", "Diluted Shares", "Net Income" ], "metrics": [ "totalRevenue", "iv", "diluted_shares", "netInco...
27
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For AutoZone, extract the Net Income data from 2024 to 2025. For Cisco Systems, retrieve both the Free Cash Flow and Intrinsic Value during the same period, specifically between 2024 and 2025.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["AutoZone"],"metrics":["Net Income"],"start_year":2024,"end_year":2025},{"symbols":["Cisco Systems"],"metrics":["Intrinsic Value","Free Cash Flow"],"start_year":2024,"end_year":2025}]}}
{ "iteration": 225, "companies": [ "AutoZone", "Cisco Systems" ], "symbols": [ "AZO", "CSCO" ], "features": [ "Net Income", "Intrinsic Value", "Free Cash Flow" ], "metrics": [ "netIncome", "iv", "fcf" ], "start_year": 2024, "end_year": 2025, "raw_model_out...
28
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What values did AutoZone report for Net Income in the years 2024 and 2025? And what about Cisco Systems—what were their Free Cash Flow and Intrinsic Value figures during those same years?
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["AutoZone"],"metrics":["Net Income"],"start_year":2024,"end_year":2025},{"symbols":["Cisco Systems"],"metrics":["Intrinsic Value","Free Cash Flow"],"start_year":2024,"end_year":2025}]}}
{ "iteration": 225, "companies": [ "AutoZone", "Cisco Systems" ], "symbols": [ "AZO", "CSCO" ], "features": [ "Net Income", "Intrinsic Value", "Free Cash Flow" ], "metrics": [ "netIncome", "iv", "fcf" ], "start_year": 2024, "end_year": 2025, "raw_model_out...
29
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Union Pacific, extract the Revenue figures from 2012 to 2024. For ExxonMobil Holdings, retrieve both Net Income and Free Cash Flow during the same time period, specifically from 2012 through 2024.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Union Pacific"],"metrics":["Revenue"],"start_year":2012,"end_year":2024},{"symbols":["ExxonMobil Holdings"],"metrics":["Free Cash Flow","Net Income"],"start_year":2012,"end_year":2024}]}}
{ "iteration": 226, "companies": [ "Union Pacific", "ExxonMobil Holdings" ], "symbols": [ "UNP", "XOM" ], "features": [ "Revenue", "Free Cash Flow", "Net Income" ], "metrics": [ "totalRevenue", "fcf", "netIncome" ], "start_year": 2012, "end_year": 2024, "r...
30
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What data exists for ExxonMobil Holdings in terms of Net Income and Free Cash Flow between 2012 and 2024? Additionally, what Revenue values are recorded for Union Pacific over the same span of years, from 2012 to 2024?
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Union Pacific"],"metrics":["Revenue"],"start_year":2012,"end_year":2024},{"symbols":["ExxonMobil Holdings"],"metrics":["Free Cash Flow","Net Income"],"start_year":2012,"end_year":2024}]}}
{ "iteration": 226, "companies": [ "Union Pacific", "ExxonMobil Holdings" ], "symbols": [ "UNP", "XOM" ], "features": [ "Revenue", "Free Cash Flow", "Net Income" ], "metrics": [ "totalRevenue", "fcf", "netIncome" ], "start_year": 2012, "end_year": 2024, "r...
31
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Micron Technology, what was the Intrinsic Value from 2018 to 2023? Additionally, provide the Revenue and Net Income for LiveRamp Holdings and McDonald's during the same time period—specifically from 2018 through 2023.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Micron Technology"],"metrics":["Intrinsic Value"],"start_year":2018,"end_year":2023},{"symbols":["McDonald's","LiveRamp Holdings"],"metrics":["Net Income","Revenue"],"start_year":2018,"end_year":2023}]}}
{ "iteration": 227, "companies": [ "Micron Technology", "McDonald's", "LiveRamp Holdings" ], "symbols": [ "MU", "MCD", "RAMP" ], "features": [ "Intrinsic Value", "Net Income", "Revenue" ], "metrics": [ "iv", "netIncome", "totalRevenue" ], "start_year":...
32
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
Let’s look at the financial data for LiveRamp Holdings and McDonald's between 2018 and 2023, focusing on their Revenue and Net Income. Separately, retrieve the Intrinsic Value for Micron Technology across the same five-year span, ensuring all data points are aligned with the years 2018 to 2023.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Micron Technology"],"metrics":["Intrinsic Value"],"start_year":2018,"end_year":2023},{"symbols":["McDonald's","LiveRamp Holdings"],"metrics":["Net Income","Revenue"],"start_year":2018,"end_year":2023}]}}
{ "iteration": 227, "companies": [ "Micron Technology", "McDonald's", "LiveRamp Holdings" ], "symbols": [ "MU", "MCD", "RAMP" ], "features": [ "Intrinsic Value", "Net Income", "Revenue" ], "metrics": [ "iv", "netIncome", "totalRevenue" ], "start_year":...
33
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Honeywell International, what was the Intrinsic Value recorded between 2013 and 2016? Additionally, for Avery Dennison and Southern, provide the respective values of Diluted Shares and Net Income during the same period.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Honeywell International"],"metrics":["Intrinsic Value"],"start_year":2013,"end_year":2016},{"symbols":["Avery Dennison","Southern"],"metrics":["Net Income","Diluted Shares"],"start_year":2013,"end_year":2016}]}}
{ "iteration": 228, "companies": [ "Honeywell International", "Avery Dennison", "Southern" ], "symbols": [ "HON", "AVY", "SO" ], "features": [ "Intrinsic Value", "Net Income", "Diluted Shares" ], "metrics": [ "iv", "netIncome", "diluted_shares" ], "sta...
34
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
Between the years 2013 and 2016, gather the Intrinsic Value for Honeywell International, and separately extract the Diluted Shares and Net Income for Avery Dennison and Southern. Each company’s data should be reported in full, aligned with their assigned metrics.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Honeywell International"],"metrics":["Intrinsic Value"],"start_year":2013,"end_year":2016},{"symbols":["Avery Dennison","Southern"],"metrics":["Net Income","Diluted Shares"],"start_year":2013,"end_year":2016}]}}
{ "iteration": 228, "companies": [ "Honeywell International", "Avery Dennison", "Southern" ], "symbols": [ "HON", "AVY", "SO" ], "features": [ "Intrinsic Value", "Net Income", "Diluted Shares" ], "metrics": [ "iv", "netIncome", "diluted_shares" ], "sta...
35
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What financial figures did Apple report in terms of Net Income and Free Cash Flow between 2008 and 2010? And what about Southern—what were its Revenue and Intrinsic Value figures during that exact same period, from 2008 to 2010?
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Apple"],"metrics":["Net Income","Free Cash Flow"],"start_year":2008,"end_year":2010},{"symbols":["Southern"],"metrics":["Revenue","Intrinsic Value"],"start_year":2008,"end_year":2010}]}}
{ "iteration": 229, "companies": [ "Apple", "Southern" ], "symbols": [ "AAPL", "SO" ], "features": [ "Net Income", "Free Cash Flow", "Revenue", "Intrinsic Value" ], "metrics": [ "netIncome", "fcf", "totalRevenue", "iv" ], "start_year": 2008, "end_yea...
37
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For ExxonMobil Holdings, please provide the Diluted Shares and Intrinsic Value data from 2021 to 2023. Additionally, for Deere & and Bed Bath & Beyond, retrieve the Revenue and Free Cash Flow figures during the same period, ensuring each company's metrics are clearly separated and accurately assigned.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["ExxonMobil Holdings"],"metrics":["Intrinsic Value","Diluted Shares"],"start_year":2021,"end_year":2023},{"symbols":["Deere &","Bed Bath & Beyond"],"metrics":["Free Cash Flow","Revenue"],"start_year":2021,"end_year":2023}]}}
{ "iteration": 230, "companies": [ "ExxonMobil Holdings", "Deere &", "Bed Bath & Beyond" ], "symbols": [ "XOM", "DE", "BBBY" ], "features": [ "Intrinsic Value", "Diluted Shares", "Free Cash Flow", "Revenue" ], "metrics": [ "iv", "diluted_shares", "fcf"...
38
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What values did ExxonMobil Holdings report for Diluted Shares and Intrinsic Value between 2021 and 2023? And what about Deere & and Bed Bath & Beyond—specifically, their Revenue and Free Cash Flow—during those exact years? Make sure the data is grouped by company and metric as specified.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["ExxonMobil Holdings"],"metrics":["Intrinsic Value","Diluted Shares"],"start_year":2021,"end_year":2023},{"symbols":["Deere &","Bed Bath & Beyond"],"metrics":["Free Cash Flow","Revenue"],"start_year":2021,"end_year":2023}]}}
{ "iteration": 230, "companies": [ "ExxonMobil Holdings", "Deere &", "Bed Bath & Beyond" ], "symbols": [ "XOM", "DE", "BBBY" ], "features": [ "Intrinsic Value", "Diluted Shares", "Free Cash Flow", "Revenue" ], "metrics": [ "iv", "diluted_shares", "fcf"...
39
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Accenture, extract the Diluted Shares and Intrinsic Value data from the 2017 financial records. Additionally, retrieve the Revenue and Free Cash Flow figures for Netflix and Costco Wholesale during the same year, specifically 2017.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Accenture"],"metrics":["Diluted Shares","Intrinsic Value"],"start_year":2017,"end_year":2017},{"symbols":["Costco Wholesale","Netflix"],"metrics":["Free Cash Flow","Revenue"],"start_year":2017,"end_year":2017}]}}
{ "iteration": 231, "companies": [ "Accenture", "Costco Wholesale", "Netflix" ], "symbols": [ "ACN", "COST", "NFLX" ], "features": [ "Diluted Shares", "Intrinsic Value", "Free Cash Flow", "Revenue" ], "metrics": [ "diluted_shares", "iv", "fcf", "to...
40
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What values did Accenture report for Diluted Shares and Intrinsic Value in 2017? And what about Netflix and Costco Wholesale—what were their respective Revenue and Free Cash Flow figures during that same fiscal year, 2017?
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Accenture"],"metrics":["Diluted Shares","Intrinsic Value"],"start_year":2017,"end_year":2017},{"symbols":["Costco Wholesale","Netflix"],"metrics":["Free Cash Flow","Revenue"],"start_year":2017,"end_year":2017}]}}
{ "iteration": 231, "companies": [ "Accenture", "Costco Wholesale", "Netflix" ], "symbols": [ "ACN", "COST", "NFLX" ], "features": [ "Diluted Shares", "Intrinsic Value", "Free Cash Flow", "Revenue" ], "metrics": [ "diluted_shares", "iv", "fcf", "to...
41
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Ameriprise Financial, retrieve the Net Income values from 2024 to 2024. For U.S. Bancorp and Linde, provide the Free Cash Flow and Intrinsic Value metrics during the same period.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Ameriprise Financial"],"metrics":["Net Income"],"start_year":2024,"end_year":2024},{"symbols":["Linde","U.S. Bancorp"],"metrics":["Free Cash Flow","Intrinsic Value"],"start_year":2024,"end_year":2024}]}}
{ "iteration": 232, "companies": [ "Ameriprise Financial", "Linde", "U.S. Bancorp" ], "symbols": [ "AMP", "LIN", "USB" ], "features": [ "Net Income", "Free Cash Flow", "Intrinsic Value" ], "metrics": [ "netIncome", "fcf", "iv" ], "start_year": 2024, ...
42
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What Net Income figures did Ameriprise Financial report in 2024? And what Free Cash Flow and Intrinsic Value data were recorded by U.S. Bancorp and Linde in the same year? All data should be limited to the 2024 timeframe.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Ameriprise Financial"],"metrics":["Net Income"],"start_year":2024,"end_year":2024},{"symbols":["Linde","U.S. Bancorp"],"metrics":["Free Cash Flow","Intrinsic Value"],"start_year":2024,"end_year":2024}]}}
{ "iteration": 232, "companies": [ "Ameriprise Financial", "Linde", "U.S. Bancorp" ], "symbols": [ "AMP", "LIN", "USB" ], "features": [ "Net Income", "Free Cash Flow", "Intrinsic Value" ], "metrics": [ "netIncome", "fcf", "iv" ], "start_year": 2024, ...
43
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Mastercard, please provide the Net Income values from 2020 to 2021. Additionally, for Cigna Group and Charles Schwab Corporation (The), retrieve the Diluted Shares and Intrinsic Value metrics during the same period—specifically between 2020 and 2021.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Mastercard"],"metrics":["Net Income"],"start_year":2020,"end_year":2021},{"symbols":["Cigna Group","Charles Schwab Corporation (The"],"metrics":["Intrinsic Value","Diluted Shares"],"start_year":2020,"end_year":2021}]}}
{ "iteration": 233, "companies": [ "Mastercard", "Cigna Group", "Charles Schwab Corporation (The" ], "symbols": [ "MA", "CI", "SCHW" ], "features": [ "Net Income", "Intrinsic Value", "Diluted Shares" ], "metrics": [ "netIncome", "iv", "diluted_shares" ],...
44
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Netflix, extract the Intrinsic Value data from the 2006 to 2017 period. Additionally, for International Business Machines, retrieve both the Revenue and Diluted Shares figures across the same time frame.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Netflix"],"metrics":["Intrinsic Value"],"start_year":2006,"end_year":2017},{"symbols":["International Business Machines"],"metrics":["Diluted Shares","Revenue"],"start_year":2006,"end_year":2017}]}}
{ "iteration": 234, "companies": [ "Netflix", "International Business Machines" ], "symbols": [ "NFLX", "IBM" ], "features": [ "Intrinsic Value", "Diluted Shares", "Revenue" ], "metrics": [ "iv", "diluted_shares", "totalRevenue" ], "start_year": 2006, "end_y...
46
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What values did International Business Machines show for Revenue and Diluted Shares between 2006 and 2017? And what Intrinsic Value did Netflix record during that same span?
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Netflix"],"metrics":["Intrinsic Value"],"start_year":2006,"end_year":2017},{"symbols":["International Business Machines"],"metrics":["Diluted Shares","Revenue"],"start_year":2006,"end_year":2017}]}}
{ "iteration": 234, "companies": [ "Netflix", "International Business Machines" ], "symbols": [ "NFLX", "IBM" ], "features": [ "Intrinsic Value", "Diluted Shares", "Revenue" ], "metrics": [ "iv", "diluted_shares", "totalRevenue" ], "start_year": 2006, "end_y...
47
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What Free Cash Flow values did Texas Instruments report between 2013 and 2015? And what specific details—such as Diluted Shares and Intrinsic Value—were recorded for Coca-Cola over the same timeframe?
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Texas Instruments"],"metrics":["Free Cash Flow"],"start_year":2013,"end_year":2015},{"symbols":["Coca-Cola"],"metrics":["Intrinsic Value","Diluted Shares"],"start_year":2013,"end_year":2015}]}}
{ "iteration": 235, "companies": [ "Texas Instruments", "Coca-Cola" ], "symbols": [ "TXN", "KO" ], "features": [ "Free Cash Flow", "Intrinsic Value", "Diluted Shares" ], "metrics": [ "fcf", "iv", "diluted_shares" ], "start_year": 2013, "end_year": 2015, "r...
49
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Home Depot, extract the Net Income and Diluted Shares data from the 2023 financial records. For LiveRamp Holdings, retrieve the Revenue and Free Cash Flow figures during the same 2023 period.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Home Depot"],"metrics":["Diluted Shares","Net Income"],"start_year":2023,"end_year":2023},{"symbols":["LiveRamp Holdings"],"metrics":["Revenue","Free Cash Flow"],"start_year":2023,"end_year":2023}]}}
{ "iteration": 236, "companies": [ "Home Depot", "LiveRamp Holdings" ], "symbols": [ "HD", "RAMP" ], "features": [ "Diluted Shares", "Net Income", "Revenue", "Free Cash Flow" ], "metrics": [ "diluted_shares", "netIncome", "totalRevenue", "fcf" ], "star...
50
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What specific financial details are available for Home Depot in 2023, including Net Income and Diluted Shares? And what about LiveRamp Holdings—what Revenue and Free Cash Flow values were recorded in 2023?
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Home Depot"],"metrics":["Diluted Shares","Net Income"],"start_year":2023,"end_year":2023},{"symbols":["LiveRamp Holdings"],"metrics":["Revenue","Free Cash Flow"],"start_year":2023,"end_year":2023}]}}
{ "iteration": 236, "companies": [ "Home Depot", "LiveRamp Holdings" ], "symbols": [ "HD", "RAMP" ], "features": [ "Diluted Shares", "Net Income", "Revenue", "Free Cash Flow" ], "metrics": [ "diluted_shares", "netIncome", "totalRevenue", "fcf" ], "star...
51
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Lowe's Companies, extract the Net Income and Intrinsic Value values across the period from 2016 to 2018. Additionally, gather the Diluted Shares and Free Cash Flow data for Waste Management and Stryker during the same timeframe.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Lowe's Companies"],"metrics":["Intrinsic Value","Net Income"],"start_year":2016,"end_year":2018},{"symbols":["Waste Management","Stryker"],"metrics":["Free Cash Flow","Diluted Shares"],"start_year":2016,"end_year":2018}]}}
{ "iteration": 237, "companies": [ "Lowe's Companies", "Waste Management", "Stryker" ], "symbols": [ "LOW", "WM", "SYK" ], "features": [ "Intrinsic Value", "Net Income", "Free Cash Flow", "Diluted Shares" ], "metrics": [ "iv", "netIncome", "fcf", "...
52
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
What Net Income and Intrinsic Value figures did Lowe's Companies report between 2016 and 2018? And separately, what Diluted Shares and Free Cash Flow records were documented for Waste Management and Stryker in the same years?
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Lowe's Companies"],"metrics":["Intrinsic Value","Net Income"],"start_year":2016,"end_year":2018},{"symbols":["Waste Management","Stryker"],"metrics":["Free Cash Flow","Diluted Shares"],"start_year":2016,"end_year":2018}]}}
{ "iteration": 237, "companies": [ "Lowe's Companies", "Waste Management", "Stryker" ], "symbols": [ "LOW", "WM", "SYK" ], "features": [ "Intrinsic Value", "Net Income", "Free Cash Flow", "Diluted Shares" ], "metrics": [ "iv", "netIncome", "fcf", "...
53
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Meta Platforms, extract the Free Cash Flow data from the financial records spanning the years 2006 to 2012. Additionally, for International Business Machines, retrieve both the Diluted Shares and Intrinsic Value metrics during the same time frame.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Meta Platforms"],"metrics":["Free Cash Flow"],"start_year":2006,"end_year":2012},{"symbols":["International Business Machines"],"metrics":["Intrinsic Value","Diluted Shares"],"start_year":2006,"end_year":2012}]}}
{ "iteration": 238, "companies": [ "Meta Platforms", "International Business Machines" ], "symbols": [ "META", "IBM" ], "features": [ "Free Cash Flow", "Intrinsic Value", "Diluted Shares" ], "metrics": [ "fcf", "iv", "diluted_shares" ], "start_year": 2006, "...
54
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
For Ameren, extract the Diluted Shares and Intrinsic Value values from the financial data spanning the years 2016 to 2018. Additionally, retrieve the Revenue and Net Income figures for BlackRock during the same period, ensuring all data is aligned with the specified time frame.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Ameren"],"metrics":["Diluted Shares","Intrinsic Value"],"start_year":2016,"end_year":2018},{"symbols":["BlackRock"],"metrics":["Revenue","Net Income"],"start_year":2016,"end_year":2018}]}}
{ "iteration": 239, "companies": [ "Ameren", "BlackRock" ], "symbols": [ "AEE", "BLK" ], "features": [ "Diluted Shares", "Intrinsic Value", "Revenue", "Net Income" ], "metrics": [ "diluted_shares", "iv", "totalRevenue", "netIncome" ], "start_year": 201...
56
[ { "role": "system", "content": "You are a financial function-calling model.\nThe user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object.\n\nSupported function:\n- get_fundamentals\n\nRules:\n\n- Preserve the association be...
<|im_start|>system You are a financial function-calling model. The user gives you names of companiesn, some feature and periods of time. You must convert the user's request into exactly one valid JSON object. Supported function: - get_fundamentals Rules: - Preserve the association between companies and their request...
Between 2016 and 2018, what were the recorded Diluted Shares and Intrinsic Value for Ameren, and what Revenue and Net Income did BlackRock report? Include every metric for each respective company without combining or separating data across groups.
{"action":"call","function":"get_fundamentals","arguments":{"queries":[{"symbols":["Ameren"],"metrics":["Diluted Shares","Intrinsic Value"],"start_year":2016,"end_year":2018},{"symbols":["BlackRock"],"metrics":["Revenue","Net Income"],"start_year":2016,"end_year":2018}]}}
{ "iteration": 239, "companies": [ "Ameren", "BlackRock" ], "symbols": [ "AEE", "BLK" ], "features": [ "Diluted Shares", "Intrinsic Value", "Revenue", "Net Income" ], "metrics": [ "diluted_shares", "iv", "totalRevenue", "netIncome" ], "start_year": 201...
57
End of preview. Expand in Data Studio

Financial Fundamentals Tool-Calling Dataset

This dataset contains synthetic examples for training and evaluating financial tool-calling models. Each example pairs a natural-language user request about company fundamentals with a structured JSON function call.

The dataset is designed for models that should translate financial requests into tool calls instead of answering directly.

Task

Given a user query such as:

Retrieve net income and diluted shares for Broadcom from 2006 to 2018.

The model should produce a JSON call like:

{
  "action": "call",
  "function": "get_fundamentals",
  "arguments": {
    "queries": [
      {
        "symbols": ["Broadcom"],
        "metrics": ["Net Income", "Diluted Shares"],
        "start_year": 2006,
        "end_year": 2018
      }
    ]
  }
}

Dataset Fields

The dataset includes fields such as:

  • query: The natural-language financial request.
  • completion: The target JSON tool call.
  • text: Chat-formatted training text.
  • messages: Chat-style system, user, and assistant messages.
  • metadata: Generation metadata, including companies, metrics, years, and grouping information.
  • source_index: Index of the original source example.

Use Cases

This dataset can be used to train or evaluate models for:

  • Financial function calling
  • Structured JSON generation
  • Tool routing for agentic finance systems
  • Fundamentals retrieval request parsing
  • Company-metric-year extraction

Limitations

The dataset is synthetic and focused on financial fundamentals requests. It does not contain live financial values, investment advice, or real-time market data. Models trained on this dataset should have their JSON outputs validated before any downstream tool execution.
Downloads last month
39
Number of rows:
3,098
Total file size:
14.9 MB