state listlengths 2 52 | action dict | next_obs listlengths 2 2 | state_len int64 874 5.88k | temperature float64 1 1 | reward float64 0.07 1 | done bool 2
classes | truncated bool 1
class | timestep int64 0 25 | try_step int64 0 0 | batch_id int64 40 40 | unique_data_sample_id int64 0 31 | generation_id int64 0 0 | split stringclasses 1
value | return_ float64 0.07 1 | advantage float64 0.07 1 | return_is_computed bool 1
class | advantage_is_computed bool 1
class | constant_reward_group bool 1
class | tools listlengths 5 5 | action_prob float64 0.07 1 | system_prompt null |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I need to find tables related to Tesla that might contain information about valuation allowances for deferred tax assets. First, I'll retrieve a list of possible tables to look up.\n\n<tool_call>\n{\"name\": \"get_descriptions\", \"arguments\": {\"company_name\": \"tesla\"}}\n</tool_call>",
"role": "a... | [
{
"content": "[\"us_gaap_DebtInstrumentRedemptionTableTextBlock\", \"us_gaap_ScheduleOfComponentsOfIncomeTaxExpenseBenefitTableTextBlock\", \"sla_ScheduleOfAccruedLiabilitiesAndOtherCurrentLiabilitiesTableTextBlock\", \"us_gaap_LesseeOperatingLeaseLiabilityMaturityTableTextBlock\", \"us_gaap_ScheduleOfDeferredT... | 891 | 1 | 1 | false | false | 0 | 0 | 40 | 0 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "The table \"us_gaap_ScheduleOfDeferredTaxAssetsAndLiabilitiesTableTextBlock\" is most likely to contain information about deferred tax assets and valuation allowances. I will retrieve its metadata to understand its structure and identify relevant columns.\n\n<tool_call>\n{\"name\": \"get_table_info\", \... | [
{
"content": "{\"description\": \"deferred_tax_assets_liabilities_as_of_december_31_2024_and_2023_consisted_of_the_following_in_millions\",\"column_names\": [\"item\",\"december_31_2024\",\"december_31_2023\"],\"unique_vals_per_col\": {\"item\": [\"deferred_tax_assets:\",\"net_operating_loss_carry_forwards\",\"... | 1,485 | 1 | 1 | false | false | 1 | 0 | 40 | 0 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I need to extract the specific values related to the valuation allowance and deferred tax assets as of December 31, 2024. The query above will fetch the relevant data points from the table.\n\n<tool_call>\n{\"name\": \"sql_query\", \"arguments\": {\"company_name\": \"tesla\", \"table_name\": \"us_gaap_S... | [
{
"content": "[{\"item\":\"total_deferred_tax_assets\",\"december_31_2024\":\"$11,962\"},{\"item\":\"valuation_allowance\",\"december_31_2024\":\"($1,224)\"},{\"item\":\"deferred_tax_assets_net_of_valuation_allowance\",\"december_31_2024\":\"$10,738\"},{\"item\":\"deferred_tax_assets_liabilities_net_of_valuatio... | 1,323 | 1 | 0.611123 | false | false | 2 | 0 | 40 | 0 | 0 | train_all | 0.611123 | 0.611123 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.611123 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "To better understand the significance of the valuation allowance, I need to compare the values as of December 31, 2024, with those from the prior year (December 31, 2023). I will retrieve the 2023 data for the same items to analyze any changes in the valuation allowance.\n\n<tool_call>\n{\"name\": \"sql... | [
{
"content": "[{\"item\":\"total_deferred_tax_assets\",\"december_31_2023\":\"$10,774\"},{\"item\":\"valuation_allowance\",\"december_31_2023\":\"($892)\"},{\"item\":\"deferred_tax_assets_net_of_valuation_allowance\",\"december_31_2023\":\"$9,882\"}]",
"role": "tool"
},
{
"content": "<tool_call>\n{\... | 1,359 | 1 | 0.911893 | false | false | 3 | 0 | 40 | 0 | 0 | train_all | 0.911893 | 0.911893 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.911893 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I need to calculate the percentage of the valuation allowance relative to total deferred tax assets as of December 31, 2024. The values from the query show that the valuation allowance is $1,224 and total deferred tax assets are $11,962. I will compute this percentage to understand its significance.\n\n... | [
{
"content": "[10.23240260825949, \"Calculated: (1224/11962) * 100 = 10.23240260825949\"]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"calculator\", \"arguments\": {\"expression\": \"((1224-892)/892) * 100\"}}\n</tool_call>",
"role": "assistant"
}
] | 1,510 | 1 | 0.61579 | false | false | 4 | 0 | 40 | 0 | 0 | train_all | 0.61579 | 0.61579 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.61579 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I need to calculate the percentage change in the valuation allowance from December 31, 2023 to December 31, 2024. The valuation allowance was $892 in 2023 and $1,224 in 2024. I will compute the percentage increase to understand the trend in management's assessment of future tax benefits.\n\n<tool_call>\... | [
{
"content": "[37.219730941704036, \"Calculated: ((1224-892)/892) * 100 = 37.219730941704036\"]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"calculator\", \"arguments\": {\"expression\": \"(1224/10738) * 100\"}}\n</tool_call>",
"role": "assistant"
}
] | 1,602 | 1 | 0.888647 | false | false | 5 | 0 | 40 | 0 | 0 | train_all | 0.888647 | 0.888647 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.888647 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I need to verify the percentage of the valuation allowance relative to total deferred tax assets by using the total deferred tax assets as $10,738 (from the 2023 data) to ensure consistency in the calculation. This step ensures accuracy in the analysis.\n\n<tool_call>\n{\"name\": \"calculator\", \"argum... | [
{
"content": "[11.398770720804619, \"Calculated: (1224/10738) * 100 = 11.398770720804619\"]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"respond_user\", \"arguments\": {\"text\": \"As of December 31, 2024 Tesla reported total deferred tax assets of $11,962 million and a valuation allo... | 1,737 | 1 | 1 | false | false | 6 | 0 | 40 | 0 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I have gathered all necessary data points: the valuation allowance and deferred tax assets for both 2023 and 2024, calculated the percentage of the allowance relative to total deferred tax assets, and determined the percentage change in the allowance. I now have sufficient information to provide a compr... | [
{
"content": "",
"role": "assistant"
},
{
"content": "",
"role": "assistant"
}
] | 1,838 | 1 | 0.119209 | true | false | 7 | 0 | 40 | 0 | 0 | train_all | 0.119209 | 0.119209 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.119209 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I need to first identify the relevant tables related to Meta's financial or leasing data to understand their lease financing strategy. The initial step is to get a list of possible table descriptions for Meta, which will help me identify which tables might contain information about lease financing or ca... | [
{
"content": "[\"srt_ContractualObligationFiscalYearMaturityScheduleTableTextBlock\", \"us_gaap_ScheduleOfComponentsOfIncomeTaxExpenseBenefitTableTextBlock\", \"us_gaap_LesseeOperatingLeaseLiabilityMaturityTableTextBlock\", \"us_gaap_ScheduleOfDeferredTaxAssetsAndLiabilitiesTableTextBlock\", \"us_gaap_ScheduleO... | 884 | 1 | 1 | false | false | 0 | 0 | 40 | 1 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "The \"meta_LeaseBalanceSheetInformationTableTextBlock\" is likely to contain key financial data related to lease obligations, which is central to understanding Meta's lease financing strategy. I will retrieve the metadata for this table to understand its structure, such as column names and data types, t... | [
{
"content": "{\"description\": \"supplemental_balance_sheet_information_related_to_lease_liabilities\",\"column_names\": [\"item\",\"lease_type\",\"2024\",\"2023\"],\"unique_vals_per_col\": {\"item\": [\"weighted_average_remaining_lease_term\",\"weighted_average_discount_rate\"],\"lease_type\": [\"finance_leas... | 1,409 | 1 | 1 | false | false | 1 | 0 | 40 | 1 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "With the table structure understood, I now execute a query to extract the actual data on lease liabilities and terms for both 2023 and 2024. This will provide concrete figures on the weighted average remaining lease terms and discount rates, which are critical indicators of Meta's lease financing strate... | [
{
"content": "Error: You are trying to query without any kind of filters, which is not allowed!",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"sql_query\", \"arguments\": {\"company_name\": \"meta\", \"table_name\": \"meta_LeaseBalanceSheetInformationTableTextBlock\", \"query\": \"SELEC... | 1,260 | 1 | 0.773336 | false | false | 2 | 0 | 40 | 1 | 0 | train_all | 0.773336 | 0.773336 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.773336 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "The initial query failed because it attempted to retrieve data without filtering, which is not allowed. I now refine the query to specifically target the \"weighted_average_remaining_lease_term\" field, which is a key metric in lease financing strategies. This will allow me to extract relevant data for ... | [
{
"content": "[{\"item\":\"weighted_average_remaining_lease_term\",\"lease_type\":\"finance_leases\",\"2024\":\"13.7 years\",\"2023\":\"14.0 years\"},{\"item\":\"weighted_average_remaining_lease_term\",\"lease_type\":\"operating_leases\",\"2024\":\"11.5 years\",\"2023\":\"11.6 years\"}]",
"role": "tool"
}... | 1,262 | 1 | 0.832234 | false | false | 3 | 0 | 40 | 1 | 0 | train_all | 0.832234 | 0.832234 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.832234 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "Now that I have the weighted average remaining lease terms, I need to examine the weighted average discount rates for both years. This will help understand whether Meta is adjusting its financing cost assumptions, which is a key part of capital allocation decisions. I will query the discount rate data f... | [
{
"content": "[{\"item\":\"weighted_average_discount_rate\",\"lease_type\":\"finance_leases\",\"2024\":\"3.6%\",\"2023\":\"3.4%\"},{\"item\":\"weighted_average_discount_rate\",\"lease_type\":\"operating_leases\",\"2024\":\"3.9%\",\"2023\":\"3.7%\"}]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"... | 1,496 | 1 | 1 | false | false | 4 | 0 | 40 | 1 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "The discount rate data shows a slight increase in both finance and operating lease rates from 2023 to 2024, indicating a small shift in financing cost assumptions. However, to provide a more complete picture of Meta's capital allocation preferences, I should also examine lease cash flows, which might re... | [
{
"content": "{\"description\": \"supplemental_cash_flow_information_related_to_leases_is_as_follows_(in_millions):\",\"column_names\": [\"line_item\",\"2024\",\"2023\",\"2022\"],\"unique_vals_per_col\": {\"line_item\": [\"cash_paid_for_amounts_included_in_the_measurement_of_lease_liabilities:\",\"operating_cas... | 1,648 | 1 | 1 | false | false | 5 | 0 | 40 | 1 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I now have the structure of the lease cash flows table and identify a specific line item related to cash payments for lease liabilities. This will help determine how Meta's cash outflows have changed over time, providing insight into their capital allocation preferences. I will extract the relevant data... | [
{
"content": "[{\"line_item\":\"cash_paid_for_amounts_included_in_the_measurement_of_lease_liabilities:\",\"2024\":\"\",\"2023\":\"\",\"2022\":\"\"}]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"sql_query\", \"arguments\": {\"company_name\": \"meta\", \"table_name\": \"meta_LeaseCashF... | 1,899 | 1 | 0.830087 | false | false | 6 | 0 | 40 | 1 | 0 | train_all | 0.830087 | 0.830087 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.830087 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "The previous query returned empty values, possibly due to missing or misaligned data. I now focus on a more specific line item related to operating cash flows for operating leases. This will provide a clearer picture of how Meta's operating lease obligations have evolved, which is crucial for understand... | [
{
"content": "[{\"line_item\":\"operating_cash_flows_for_operating_leases(1)\",\"2024\":\"$2,830\",\"2023\":\"$2,233\",\"2022\":\"$1,654\"}]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"sql_query\", \"arguments\": {\"company_name\": \"meta\", \"table_name\": \"meta_LeaseCashFlowsInfor... | 1,950 | 1 | 0.819809 | false | false | 7 | 0 | 40 | 1 | 0 | train_all | 0.819809 | 0.819809 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.819809 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I now have data on operating cash flows for operating leases, showing a steady increase from $1,654 in 2022 to $2,830 in 2024. To get a complete view of Meta's capital allocation preferences, I need to also examine finance lease cash flows. I will query the finance lease operating cash flows to compare ... | [
{
"content": "[{\"line_item\":\"operating_cash_flows_for_finance_leases\",\"2024\":\"$23\",\"2023\":\"$20\",\"2022\":\"$16\"}]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"sql_query\", \"arguments\": {\"company_name\": \"meta\", \"table_name\": \"meta_LeaseCashFlowsInformationTableTex... | 2,136 | 1 | 0.870588 | false | false | 8 | 0 | 40 | 1 | 0 | train_all | 0.870588 | 0.870588 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.870588 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I now have the operating cash flows for finance leases, which are very low, indicating that finance leases are not a major part of Meta's operations. To complete the analysis, I need to check the financing cash flows for finance leases to understand the actual financial impact of these leases. This will... | [
{
"content": "[{\"line_item\":\"financing_cash_flows_for_finance_leases\",\"2024\":\"$1,969\",\"2023\":\"$1,058\",\"2022\":\"$850\"}]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"sql_query\", \"arguments\": {\"company_name\": \"meta\", \"table_name\": \"meta_LeaseCashFlowsInformationT... | 2,313 | 1 | 1 | false | false | 9 | 0 | 40 | 1 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "I now have the financing cash flows for finance leases, which show a clear increase from $850 in 2022 to $1,969 in 2024. To provide a complete picture, I will also check the operating lease cash flows to understand how these obligations have evolved over time. This will help determine the overall trend ... | [
{
"content": "[{\"line_item\":\"operating_leases\",\"2024\":\"$3,784\",\"2023\":\"$4,370\",\"2022\":\"$4,366\"}]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"sql_query\", \"arguments\": {\"company_name\": \"meta\", \"table_name\": \"meta_LeaseCashFlowsInformationTableTextBlock\", \"qu... | 2,500 | 1 | 0.81588 | false | false | 10 | 0 | 40 | 1 | 0 | train_all | 0.81588 | 0.81588 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.81588 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "The operating lease cash flows show a slight decline from $4,366 in 2022 to $3,784 in 2024, which contradicts earlier observations. I need to verify the data by checking the finance leases directly. This will ensure I have accurate figures for all lease types and can provide a reliable analysis of Meta'... | [
{
"content": "[{\"line_item\":\"finance_leases\",\"2024\":\"$181\",\"2023\":\"$588\",\"2022\":\"$223\"}]",
"role": "tool"
},
{
"content": "<tool_call>\n{\"name\": \"get_table_info\", \"arguments\": {\"company_name\": \"meta\", \"table_name\": \"us_gaap_LeaseCostTableTextBlock\"}}\n</tool_call>",
... | 2,681 | 1 | 0.992674 | false | false | 11 | 0 | 40 | 1 | 0 | train_all | 0.992674 | 0.992674 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 0.992674 | null |
[
{
"content": "Only execute one tool call at a time. Think and reason step by step. Feel free to iteratively gather data as much as you need to answer the question. Although there is a limit of 30 turns, you can still gather data as much as you need to answer the question. When you have gathered all the data, an... | {
"content": "The data for finance leases shows a significant decline, which seems inconsistent with earlier observations. To verify the accuracy of these figures and ensure I'm not missing any key details, I will retrieve metadata for the \"us_gaap_LeaseCostTableTextBlock\" table. This table may contain more detaile... | [
{
"content": "{\"description\": \"the_components_of_lease_costs_are_as_follows_(in_millions):\",\"column_names\": [\"component\",\"2024\",\"2023\",\"2022\"],\"unique_vals_per_col\": {\"component\": [\"amortization_of_right_of_use_assets\",\"interest\",\"operating_lease_cost\",\"variable_lease_cost_and_other\",\... | 2,857 | 1 | 1 | false | false | 12 | 0 | 40 | 1 | 0 | train_all | 1 | 1 | true | true | false | [
{
"description": "Get a list of possible texts to look up for. Each text contains a singular table that is described by its complete name.",
"name": "get_descriptions",
"parameters": {
"properties": {
"company_name": {
"description": "The name of the company to get the table name... | 1 | null |
End of preview. Expand in Data Studio
Act-PRM Rollout Dataset
Run Metadata
- run_name:
act-prm-v2-ia=0-rr=0-ec=act_prm_finqa_reasoning_gpt5m-gc=aprm_qwen3_ap-tc=aprm_for_sft100-rbc=default-msl=4096-mc=hf_qwen3_4b_inst_2507-lc=r8_a16_qkvo-nf=0-ao=1-ho=1-eec=finqa_reasoning-gs=8-bs=8-lr=4e_05-ns=4-s=1-r=finqa_aprm_0 - run_cmd:
main_pytorch.py --env_config act_prm/finqa_reasoning_gpt5m --eval_env_config finqa/reasoning --model_config hf_qwen3_4b_inst_2507 --lora_config r8_a16_qkvo --generator_config aprm_qwen3_ap --trainer_config aprm_for_sft100 --replay_buffer_config default --log_path ./logs --actions_only --hide_observations --batch_size 8 --group_size 8 --learning_rate 4e-5 --num_substeps 4 --seed 0 --replicate finqa_aprm_0 --verbose --seed 1 --max_seq_len 4096 - batch_idx:
40 - split:
train_all - trajectory_key:
think_act_policy - num_trajectories:
508 - num_episodes:
508 - group_size:
8 - batch_size:
8
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