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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
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null
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[ { "id": "tool::check_equipment_availability", "name": "check_equipment_availability", "description": "Check availability of agricultural equipment considering user tier limits, maintenance schedules, and existing reservations. Returns availability status with constraints.", "parameters_json": "{\"pr...
{ "candidate_id": "tool::generate_invoice", "action_name": "generate_invoice", "arguments_json": "{\"include_usage_overage\":true,\"reference_id\":\"CONTRACT-2024-7788\"}", "label_json": null }
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 320, "source_identity": "626", "trajectory_id": "626", "step_index": 0, "decision_ordinal...
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
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[ { "id": "tool::authenticate_customer", "name": "authenticate_customer", "description": "Authenticate customer using Customer ID and Equipment PIN.\nRequired before any account-sensitive operations.", "parameters_json": "{\"properties\":{\"customer_id\":{\"description\":\"Unique customer identifier\"...
{ "candidate_id": "tool::get_equipment_details", "action_name": "get_equipment_details", "arguments_json": "{\"serial_number\":\"JH-TR2023-4587\"}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 322, "source_identity": "410", "trajectory_id": "410", "step_index": 1, "decision_ordinal...
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
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[ { "id": "tool::book_shipment", "name": "book_shipment", "description": "Creates a new shipment booking with validated package dimensions, weight restrictions, and customs forms for international shipments. Validates against restricted items and pickup deadlines.", "parameters_json": "{\"properties\"...
{ "candidate_id": "tool::transfer_to_human_agent", "action_name": "transfer_to_human_agent", "arguments_json": "{\"issue_category\":\"legal_docs\",\"summary\":\"User reports needing to ship a recalled Class II medical device subject to FDA safety alert. They are an online seller requesting guidance on proper prot...
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 323, "source_identity": "214", "trajectory_id": "214", "step_index": 0, "decision_ordinal...
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
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[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Verify user identity using User ID + registered phone number OR Booking confirmation code + last 4 digits of payment card.", "parameters_json": "{\"properties\":{\"booking_confirmation\":{\"description\":\"Booking confir...
{ "candidate_id": "tool::check_seating_availability", "action_name": "check_seating_availability", "arguments_json": "{\"screening_id\":\"RS-20241222-1\",\"tier\":\"Standard\"}", "label_json": null }
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 324, "source_identity": "8", "trajectory_id": "8", "step_index": 3, "decision_ordinal": 0...
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
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[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Verify user identity using User ID + registered phone number OR Booking confirmation code + last 4 digits of payment card.", "parameters_json": "{\"properties\":{\"booking_confirmation\":{\"description\":\"Booking confir...
{ "candidate_id": "tool::check_seating_availability", "action_name": "check_seating_availability", "arguments_json": "{\"screening_id\":\"RS-20241222-1\",\"tier\":\"Premium\"}", "label_json": null }
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 327, "source_identity": "8", "trajectory_id": "8", "step_index": 4, "decision_ordinal": 0...
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
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[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate user using driver's license ID and reservation confirmation code. Required before accessing reservation details or performing actions.", "parameters_json": "{\"properties\":{\"driver_license_id\":{\"descript...
{ "candidate_id": "tool::authenticate_user", "action_name": "authenticate_user", "arguments_json": "{\"driver_license_id\":\"WA2223334\",\"reservation_confirmation_code\":\"I5K9J1\"}", "label_json": null }
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 329, "source_identity": "854", "trajectory_id": "854", "step_index": 0, "decision_ordinal...
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
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[ { "id": "tool::verify_donor_identity", "name": "verify_donor_identity", "description": "Authenticates donor identity using email and last 4 digits of phone number", "parameters_json": "{\"properties\":{\"donor_id\":{\"description\":\"Unique donor identifier\",\"type\":\"string\"},\"email\":{\"descri...
{ "candidate_id": "tool::get_financial_report", "action_name": "get_financial_report", "arguments_json": "{\"campaign_id\":\"\"}", "label_json": null }
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 330, "source_identity": "1061", "trajectory_id": "1061", "step_index": 0, "decision_ordin...
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
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[ { "id": "tool::authenticate_applicant", "name": "authenticate_applicant", "description": "Authenticate applicant using either: Member ID + Date of Birth + Last 4 SSN digits OR Full Name + Registered Email + ZIP Code", "parameters_json": "{\"properties\":{\"credentials\":{\"additionalProperties\":tru...
{ "candidate_id": "tool::submit_document", "action_name": "submit_document", "arguments_json": "{\"document_ref\":\"Court Order 2025-11-30\",\"document_type\":\"identity_proof\",\"user_id\":\"PTA-7788\"}", "label_json": null }
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
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[ { "id": "tool::authenticate_by_visitor_id", "name": "authenticate_by_visitor_id", "description": "Verify visitor identity using visitor ID and full name.", "parameters_json": "{\"properties\":{\"full_name\":{\"type\":\"string\"},\"visitor_id\":{\"type\":\"string\"}},\"required\":[\"visitor_id\",\"fu...
{ "candidate_id": "tool::check_fire_restrictions", "action_name": "check_fire_restrictions", "arguments_json": "{\"park_id\":\"YELL\"}", "label_json": null }
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 332, "source_identity": "10", "trajectory_id": "10", "step_index": 0, "decision_ordinal":...
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::enroll_in_course", "name": "enroll_in_course", "description": "Enrolls a user in a course after verifying eligibility, subscription status, and enrollment window availability", "parameters_json": "{\"properties\":{\"course_id\":{\"description\":\"Course identifier\",\"type\":\"string\...
{ "candidate_id": "tool::get_user_profile", "action_name": "get_user_profile", "arguments_json": "{\"user_id\":\"LH-8865\"}", "label_json": null }
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 333, "source_identity": "1063", "trajectory_id": "1063", "step_index": 0, "decision_ordin...
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
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[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate user using driver's license ID and reservation confirmation code. Required before accessing reservation details or performing actions.", "parameters_json": "{\"properties\":{\"driver_license_id\":{\"descript...
{ "candidate_id": "tool::transfer_to_human_agents", "action_name": "transfer_to_human_agents", "arguments_json": "{\"summary\":\"Customer disputing $1000 deductible applied to $950 damage claim for reservation I5K9J1. Customer claims damage was minor collision below deductible threshold and requests waiver review...
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 336, "source_identity": "854", "trajectory_id": "854", "step_index": 2, "decision_ordinal...
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
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[ { "id": "tool::authenticate_customer", "name": "authenticate_customer", "description": "Authenticate customer using Customer ID and Equipment PIN.\nRequired before any account-sensitive operations.", "parameters_json": "{\"properties\":{\"customer_id\":{\"description\":\"Unique customer identifier\"...
{ "candidate_id": "tool::get_warranty_claim_status", "action_name": "get_warranty_claim_status", "arguments_json": "{\"claim_id\":\"CLM-2023-771\"}", "label_json": null }
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 337, "source_identity": "410", "trajectory_id": "410", "step_index": 1, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
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null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_applicant", "name": "authenticate_applicant", "description": "Authenticate applicant using either: Member ID + Date of Birth + Last 4 SSN digits OR Full Name + Registered Email + ZIP Code", "parameters_json": "{\"properties\":{\"credentials\":{\"additionalProperties\":tru...
{ "candidate_id": "tool::list_certifications", "action_name": "list_certifications", "arguments_json": "{\"user_id\":\"PTA-7788\"}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 338, "source_identity": "628", "trajectory_id": "628", "step_index": 3, "decision_ordinal...
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train
bdcb69d62025f9bbc2e0fe3695eb2d51a4a1c347c4d82f0e189344d78df71d8f
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_client", "name": "authenticate_client", "description": "Verify client identity using tiered authentication methods. For sensitive actions, full SSN and security answers are required.", "parameters_json": "{\"properties\":{\"auth_level\":{\"description\":\"Authentication t...
{ "candidate_id": "tool::compare_loan_products", "action_name": "compare_loan_products", "arguments_json": "{\"client_id\":\"F8899\",\"down_payment_pct\":5,\"property_value\":350000}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 339, "source_identity": "218", "trajectory_id": "218", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
5d09ec654b2ed63e21e55707d4d4337bba28da835832d6a1e2ec3cc179b1f897
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate user using company ID and employee email. Required before accessing or modifying company, employee, or enrollment data.", "parameters_json": "{\"properties\":{\"company_id\":{\"description\":\"Unique company...
{ "candidate_id": "tool::get_trainer_details", "action_name": "get_trainer_details", "arguments_json": "{\"trainer_id\":\"FG-TRN-04\"}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 341, "source_identity": "629", "trajectory_id": "629", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_client", "name": "authenticate_client", "description": "Verify client identity using tiered authentication methods. For sensitive actions, full SSN and security answers are required.", "parameters_json": "{\"properties\":{\"auth_level\":{\"description\":\"Authentication t...
{ "candidate_id": "tool::get_fee_schedule", "action_name": "get_fee_schedule", "arguments_json": "{\"fee_type\":\"origination\",\"loan_amount\":332500}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.5, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 342, "source_identity": "218", "trajectory_id": "218", "step_index": 1, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_client", "name": "authenticate_client", "description": "Authenticate client for profile access using Client ID and Property ZIP Code.", "parameters_json": "{\"properties\":{\"client_id\":{\"description\":\"Unique client identifier\",\"type\":\"string\"},\"zip_code\":{\"de...
{ "candidate_id": "tool::transfer_to_human_agent", "action_name": "transfer_to_human_agent", "arguments_json": "{\"summary\":\"Client R-8881, Contract S-112, requesting guidance on floating floor system for vibration isolation and specialized foundation work for acoustic integrity. This involves structural engine...
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 345, "source_identity": "411", "trajectory_id": "411", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_client", "name": "authenticate_client", "description": "Verify client identity using tiered authentication methods. For sensitive actions, full SSN and security answers are required.", "parameters_json": "{\"properties\":{\"auth_level\":{\"description\":\"Authentication t...
{ "candidate_id": "tool::get_fee_schedule", "action_name": "get_fee_schedule", "arguments_json": "{\"fee_type\":\"appraisal\",\"loan_amount\":332500}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.0625, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 346, "source_identity": "218", "trajectory_id": "218", "step_index": 2, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Verify user identity via user ID + registered phone number. Required for all account actions.", "parameters_json": "{\"properties\":{\"phone_number\":{\"description\":\"Registered phone number including country code\",\"...
{ "candidate_id": "tool::get_user_profile", "action_name": "get_user_profile", "arguments_json": "{\"user_id\":\"S776\"}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 347, "source_identity": "412", "trajectory_id": "412", "step_index": 2, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::verify_user_identity", "name": "verify_user_identity", "description": "Authenticate users using approved methods: phone+license plate, email+payment card digits, or QR codes", "parameters_json": "{\"properties\":{\"email\":{\"description\":\"User email address\",\"title\":\"Email\",\"...
{ "candidate_id": "tool::get_user_profile", "action_name": "get_user_profile", "arguments_json": "{\"user_id\":\"U123456\"}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 348, "source_identity": "630", "trajectory_id": "630", "step_index": 1, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
cc29cb01c98807444b242e281b2cdec16aa91b48f2e2dbd2f1002e47ad6debf5
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::schedule_appointment", "name": "schedule_appointment", "description": "Schedule an assessment, delivery, or pickup appointment. Ensures compliance with time constraints and verifies identity.", "parameters_json": "{\"properties\":{\"appointment_type\":{\"description\":\"Type of appoin...
{ "candidate_id": "tool::request_quote", "action_name": "request_quote", "arguments_json": "{\"artifact_details\":{\"century\":19,\"damage_description\":\"Scratches on the upper right panel, missing inlay in the lower left drawer, and tarnished brass hardware.\",\"description\":\"Hand-carved walnut armoire with i...
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 352, "source_identity": "1064", "trajectory_id": "1064", "step_index": 0, "decision_ordin...
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train
515ae4f2d8fa8f696489b714a38f7a59cf0e5f018ad2a0dd95ad603182e2d668
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::schedule_appointment", "name": "schedule_appointment", "description": "Schedule an assessment, delivery, or pickup appointment. Ensures compliance with time constraints and verifies identity.", "parameters_json": "{\"properties\":{\"appointment_type\":{\"description\":\"Type of appoin...
{ "candidate_id": "tool::schedule_appointment", "action_name": "schedule_appointment", "arguments_json": "{\"appointment_type\":\"assessment\",\"artifact_id\":\"ART-7890\",\"customer_id\":\"123456\",\"slot_datetime\":\"2023-10-31T10:00:00Z\",\"verification_data\":{\"artifact_registration_number\":\"ART-7890\",\"c...
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 353, "source_identity": "1064", "trajectory_id": "1064", "step_index": 0, "decision_ordin...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
8d9f4f82c0afc65b16a7fb55b6c4b266ec0acbcc3c9e55c12670ae00b572ef10
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_owner", "name": "authenticate_owner", "description": "Verify pet owner identity using:\n\n- Owner ID + Pet ID + ZIP Code, OR\n- Owner Name + Pet Name + Last 4 Phone Digits", "parameters_json": "{\"properties\":{\"credentials\":{\"additionalProperties\":false,\"description...
{ "candidate_id": "tool::check_vet_availability", "action_name": "check_vet_availability", "arguments_json": "{\"appointment_type\":\"urgent\",\"exotic_specialist\":false,\"time_window\":\"today\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.09375, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 354, "source_identity": "14", "trajectory_id": "14", "step_index": 1, "decision_ordinal":...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
ea4526f8178ced5167ffe98886a95dd5696244fc0f012d42610ad24a307f5034
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
5e15a531e7cf45f19160751f613c04f26024d9cf987b65fe6734d1677d6f4a61
{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::schedule_exam", "name": "schedule_exam", "description": "Schedule an eye exam appointment", "parameters_json": "{\"properties\":{\"appointment_type\":{\"enum\":[\"comprehensive\",\"contact_fitting\",\"specialty\"],\"type\":\"string\"},\"preferred_date\":{\"format\":\"date\",\"type\":\...
{ "candidate_id": "tool::get_order_status", "action_name": "get_order_status", "arguments_json": "{\"order_id\":\"O55667\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.53125, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 355, "source_identity": "219", "trajectory_id": "219", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
166fe92adb9fe4d6070b95771e30f883a31a7ba9bbb25ea25570b69543164f50
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
a88f8f9f15fea2d40b6a593d0b38186c97860c46104c7fc9a8e2e61790923a6a
{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Verify user identity via email/username and SMS verification code. Required before account-sensitive actions.", "parameters_json": "{\"properties\":{\"sms_code\":{\"type\":\"string\"},\"username_or_email\":{\"type\":\"st...
{ "candidate_id": "tool::get_user_profile", "action_name": "get_user_profile", "arguments_json": "{\"user_id\":\"D2-USER-888\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.5, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 356, "source_identity": "857", "trajectory_id": "857", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
eb7cc8bcdeff3cd95e55936a5f8b16a93003922cae9ab0bda22595c46fb49969
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
43915afeec6d6be44f8611d44faa25d63b5b20f4c2d8f25ed05d58cd4591e9dd
{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_client", "name": "authenticate_client", "description": "Verify client identity using tiered authentication methods. For sensitive actions, full SSN and security answers are required.", "parameters_json": "{\"properties\":{\"auth_level\":{\"description\":\"Authentication t...
{ "candidate_id": "tool::transfer_to_loan_officer", "action_name": "transfer_to_loan_officer", "arguments_json": "{\"summary\":\"Client seeking guidance on first-time buyer program eligibility for spouse (Client ID F8899). Client has previous homeownership history, spouse has 740 credit score. Questions about dow...
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.5, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 357, "source_identity": "218", "trajectory_id": "218", "step_index": 0, "decision_ordinal...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_client", "name": "authenticate_client", "description": "Verify client identity for account holders or guests. For members: name + contact. For guests: name + booking_confirmation.", "parameters_json": "{\"properties\":{\"credentials\":{\"properties\":{\"booking_confirmati...
{ "candidate_id": "tool::transfer_to_human_agent", "action_name": "transfer_to_human_agent", "arguments_json": "{\"issue_category\":\"dispute\",\"summary\":\"Client Sarah Johnson (CL-948273) disputing no-show fee for booking B-729184. Client arrived 3 hours late (10 AM PST instead of 10 AM EST) claiming booking s...
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.375, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 358, "source_identity": "414", "trajectory_id": "414", "step_index": 2, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::verify_user_identity", "name": "verify_user_identity", "description": "Authenticate registered users using username and email/SMS verification", "parameters_json": "{\"properties\":{\"code\":{\"description\":\"Verification code\",\"type\":\"string\"},\"username\":{\"description\":\"Us...
{ "candidate_id": "tool::get_refund_history", "action_name": "get_refund_history", "arguments_json": "{\"user_id\":\"a1b2c3d4-e5f6-7890-g1h2-i3j4k5l6m7n8\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.375, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 360, "source_identity": "632", "trajectory_id": "632", "step_index": 1, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_customer", "name": "authenticate_customer", "description": "Authenticates customer using customer ID and shipment reference number. Must be completed before any shipment-related actions.", "parameters_json": "{\"properties\":{\"customer_id\":{\"description\":\"Unique cust...
{ "candidate_id": "tool::get_shipment_details", "action_name": "get_shipment_details", "arguments_json": "{\"shipment_reference\":\"SHP-2025-PACK\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.59375, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 361, "source_identity": "416", "trajectory_id": "416", "step_index": 1, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::get_user_details", "name": "get_user_details", "description": "Retrieves user profile information including membership tier and payment methods.", "parameters_json": "{\"properties\":{\"user_id\":{\"description\":\"Unique user identifier\",\"type\":\"string\"}},\"required\":[\"user_id...
{ "candidate_id": "tool::get_user_details", "action_name": "get_user_details", "arguments_json": "{\"user_id\":\"SP443322\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.59375, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 362, "source_identity": "1066", "trajectory_id": "1066", "step_index": 1, "decision_ordin...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::schedule_appointment", "name": "schedule_appointment", "description": "Book a new auto repair appointment with loyalty and emergency slot validation", "parameters_json": "{\"properties\":{\"customer_id\":{\"description\":\"Unique customer identifier\",\"type\":\"string\"},\"is_emergen...
{ "candidate_id": "tool::get_customer_profile", "action_name": "get_customer_profile", "arguments_json": "{\"customer_id\":\"F123456\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.375, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 363, "source_identity": "1067", "trajectory_id": "1067", "step_index": 0, "decision_ordin...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Verify user identity via email/username and SMS verification code. Required before account-sensitive actions.", "parameters_json": "{\"properties\":{\"sms_code\":{\"type\":\"string\"},\"username_or_email\":{\"type\":\"st...
{ "candidate_id": "tool::transfer_to_human_agent", "action_name": "transfer_to_human_agent", "arguments_json": "{\"issue_summary\":\"User D2-USER-888 (username: CasualDotaFan88) cannot receive SMS verification codes needed for identity authentication to resolve account flag status. User confirms registered phone ...
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.25, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 364, "source_identity": "857", "trajectory_id": "857", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
e63b76106d47f16b4190beb8295f6348dbd109885e88843d9d04466b81b35a29
{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate user using either:\n\n- User ID + Registered Email + Last 4 Phone Digits, OR\n- Order ID + Billing ZIP Code", "parameters_json": "{\"properties\":{\"auth_method\":{\"description\":\"Authentication method typ...
{ "candidate_id": "tool::authenticate_user", "action_name": "authenticate_user", "arguments_json": "{\"auth_method\":\"order_credentials\",\"credentials\":{\"billing_zip\":\"90210\",\"order_id\":\"789456123\"}}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.25, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 365, "source_identity": "17", "trajectory_id": "17", "step_index": 0, "decision_ordinal":...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
cfb41aa2de2581879dbd1a0fecc5ecbf038d32eeeeeea804f087c91b45a27ce9
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::schedule_appointment", "name": "schedule_appointment", "description": "Book a new auto repair appointment with loyalty and emergency slot validation", "parameters_json": "{\"properties\":{\"customer_id\":{\"description\":\"Unique customer identifier\",\"type\":\"string\"},\"is_emergen...
{ "candidate_id": "tool::get_repair_status", "action_name": "get_repair_status", "arguments_json": "{\"repair_id\":\"REPAIR-2023-045678901235\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.125, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 366, "source_identity": "1067", "trajectory_id": "1067", "step_index": 1, "decision_ordin...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
cf994d401463df05221764b2c90b74a985d435b34cd471f0508f3514fe1c6ce1
{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::check_attraction_status", "name": "check_attraction_status", "description": "Retrieve current operational status and details of a theme park attraction", "parameters_json": "{\"properties\":{\"attractionId\":{\"description\":\"Unique identifier for the attraction\",\"type\":\"string\"...
{ "candidate_id": "tool::check_attraction_status", "action_name": "check_attraction_status", "arguments_json": "{\"attractionId\":\"Galaxy Blaster\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.25, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 367, "source_identity": "222", "trajectory_id": "222", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
f5de1183e05deb444cf1a215e6d37702e57972b22c0b17ae9dbd033cf73470ee
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::reserve_meeting_room", "name": "reserve_meeting_room", "description": "Reserve meeting room after validating availability and subscription limits", "parameters_json": "{\"properties\":{\"duration\":{\"description\":\"Duration in minutes\",\"type\":\"integer\"},\"room_id\":{\"descripti...
{ "candidate_id": "tool::transfer_to_human_agent", "action_name": "transfer_to_human_agent", "arguments_json": "{\"summary\":\"User FreelanceWriter2023 on Starter tier wants to change account-wide mail handling preferences from forwarding to scanning for all future mail. Currently has 2 forwarding addresses activ...
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.1875, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 369, "source_identity": "858", "trajectory_id": "858", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
2547ccdc53583f5993b68e3a05d8058d0c15d7cb2c61b32df93719125fd4fcf1
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
9d4287e8ea481902923f1f6068ad145c8248f77c32fde5bc10faf5a913a27eeb
{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::check_attraction_status", "name": "check_attraction_status", "description": "Retrieve current operational status and details of a theme park attraction", "parameters_json": "{\"properties\":{\"attractionId\":{\"description\":\"Unique identifier for the attraction\",\"type\":\"string\"...
{ "candidate_id": "tool::process_compensation", "action_name": "process_compensation", "arguments_json": "{\"incidentType\":\"ride_malfunction\",\"membershipTier\":\"regular\",\"queueMinutes\":45}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.1875, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 370, "source_identity": "18", "trajectory_id": "18", "step_index": 1, "decision_ordinal":...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
79cb3e17b5086de5a5afad4002ac122e4d09ce1e41a78837bb057a6a8852796d
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
432100ac8e61028eef206c14d4eb5c94350c2d1634ce96858f07cc067cec5427
{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Verify user identity via ID+DOB or Name+Phone+ZIP as per policy. Required before accessing PII/PHI.", "parameters_json": "{\"properties\":{\"customer_id\":{\"description\":\"Customer ID (required for id_dob method)\",\"t...
{ "candidate_id": "tool::get_order_details", "action_name": "get_order_details", "arguments_json": "{\"order_id\":\"ORDER-654321\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.59375, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 371, "source_identity": "1068", "trajectory_id": "1068", "step_index": 3, "decision_ordin...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
f8354d23d4b6e9bd5ec5a85e82739fa4cfd97bc3298298b2471d9d203fadb82b
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::get_user_details", "name": "get_user_details", "description": "Retrieve user profile including membership tier, payment methods, and favorite players.", "parameters_json": "{\"properties\":{\"auth_method\":{\"enum\":[\"email\",\"phone\",\"payment_last4\"],\"type\":\"string\"},\"auth_v...
{ "candidate_id": "tool::get_meet_and_greet_slots", "action_name": "get_meet_and_greet_slots", "arguments_json": "{\"date_range\":\"2025-07-20 to 2025-07-22\",\"player_id\":\"ShadowReaper\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.25, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 372, "source_identity": "633", "trajectory_id": "633", "step_index": 1, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
b6c4899dc9913af5bd2244b9b7af49b9cd188113cba42e15759517f8ed662e28
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate user based on role (participant, site staff, investigator) using specific credentials.", "parameters_json": "{\"properties\":{\"credentials\":{\"properties\":{\"investigator\":{\"properties\":{\"investigator...
{ "candidate_id": "tool::get_participant_status", "action_name": "get_participant_status", "arguments_json": "{\"participant_id\":\"PT-5511\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.53125, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 373, "source_identity": "225", "trajectory_id": "225", "step_index": 1, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::check_facility_availability", "name": "check_facility_availability", "description": "Verifies available time slots for a specific park facility. Checks against blackout dates, existing reservations, and booking constraints (3-365 days advance; 30-day minimum for holidays). Returns availab...
{ "candidate_id": "tool::transfer_to_human_agent", "action_name": "transfer_to_human_agent", "arguments_json": "{\"summary\":\"User is a fitness coach requesting contact information for park services department and access to trail maps/surface details for jogging trails to tailor low-impact running routines for c...
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.28125, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 374, "source_identity": "224", "trajectory_id": "224", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
fdd38d540f82bb49ea28f03a4188356e51e33b84fed42e1620eac82bfc1b75ba
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Verify user identity via ID+DOB or Name+Phone+ZIP as per policy. Required before accessing PII/PHI.", "parameters_json": "{\"properties\":{\"customer_id\":{\"description\":\"Customer ID (required for id_dob method)\",\"t...
{ "candidate_id": "tool::get_prescription_details", "action_name": "get_prescription_details", "arguments_json": "{\"prescription_id\":\"RX-762891\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.375, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 376, "source_identity": "1068", "trajectory_id": "1068", "step_index": 0, "decision_ordin...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
d2f255a5eea8c2ec5d068c1c1acf50d34fe94067d83ec490f2bd6dbdc87b4a67
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_student", "name": "authenticate_student", "description": "Authenticates student identity using policy methods: student ID + phone number OR full name + date of birth.", "parameters_json": "{\"properties\":{\"auth_method\":{\"description\":\"Authentication method type\",\"...
{ "candidate_id": "tool::get_student_profile", "action_name": "get_student_profile", "arguments_json": "{\"student_id\":\"S45681\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.5, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 377, "source_identity": "1069", "trajectory_id": "1069", "step_index": 0, "decision_ordin...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_guest", "name": "authenticate_guest", "description": "Authenticate guest using either:\n- Rental License Number + DOB + State Issuance\nOR\n- Membership ID + Last 4 Digits of Phone Number\nReturns authentication status and guest ID.", "parameters_json": "{\"properties\":{...
{ "candidate_id": "tool::transfer_to_dockmaster", "action_name": "transfer_to_dockmaster", "arguments_json": "{\"summary\":\"Guest inquiring about permission for FPV drone racing event with 12 pilots, requesting 500-meter airspace clearance over waterway. Event organization request outside standard rental service...
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.46875, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 378, "source_identity": "419", "trajectory_id": "419", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::schedule_appointment", "name": "schedule_appointment", "description": "Schedule electrical service appointment with NEC compliance checks and hazard validation", "parameters_json": "{\"properties\":{\"appointment_time\":{\"description\":\"Requested service time in ISO format\",\"type\...
{ "candidate_id": "tool::process_payment", "action_name": "process_payment", "arguments_json": "{\"amount\":1350.0,\"payment_method_id\":\"PM-9876543210\",\"payment_type\":\"Deposit\",\"property_address\":{\"city\":\"Tempe\",\"street\":\"963 Education Blvd\",\"zip\":\"85281\"},\"quote_id\":\"QUOTE-789456\",\"user...
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 381, "source_identity": "20", "trajectory_id": "20", "step_index": 0, "decision_ordinal":...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::verify_customer_by_id_phone", "name": "verify_customer_by_id_phone", "description": "Verify customer identity using customer ID and registered phone number.", "parameters_json": "{\"properties\":{\"customer_id\":{\"description\":\"Unique customer identifier\",\"type\":\"string\"},\"ph...
{ "candidate_id": "tool::transfer_to_human_agent", "action_name": "transfer_to_human_agent", "arguments_json": "{\"summary\":\"Customer SPONSOR9 requests branded invoices with company logo for past services on Vessel EVENT23 (35ft catamaran). Customer is asking about third-party options for invoice customization ...
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.25, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 382, "source_identity": "226", "trajectory_id": "226", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
c877800a3ae1118f1516f2ad2e19bc6cf128d18a99ddc857085760910e753dca
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
d5b5d3fb7d8d3863f9fcedc2bf73cec8890d147e10304f0334d072706f5563d8
{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_student", "name": "authenticate_student", "description": "Authenticates student identity using policy methods: student ID + phone number OR full name + date of birth.", "parameters_json": "{\"properties\":{\"auth_method\":{\"description\":\"Authentication method type\",\"...
{ "candidate_id": "tool::get_instructor_availability", "action_name": "get_instructor_availability", "arguments_json": "{\"date_range\":\"2025-08-28/2025-08-29\",\"instrument\":\"piano\",\"require_prime_time\":false}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.25, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 384, "source_identity": "1069", "trajectory_id": "1069", "step_index": 0, "decision_ordin...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
1dccfdd2e8d76d11c22eb4d2c0fada4203939339bec56a987e446e215d25aaae
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate users via account or guest credentials. Account holders provide user_id + license number. Guests provide reservation_id + last 4 digits of captain's license.", "parameters_json": "{\"properties\":{\"last_4_l...
{ "candidate_id": "tool::transfer_to_human_agent", "action_name": "transfer_to_human_agent", "arguments_json": "{\"summary\":\"Customer reports discrepancy in captain's license last 4 digits for reservation CH-2025-1129. Customer states they provided 7732 during booking, but system shows stored digits as 4481. Au...
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.09375, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 385, "source_identity": "21", "trajectory_id": "21", "step_index": 1, "decision_ordinal":...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
5fffccb50553499f90880e2fa2e56e4ecf4421e8a4a58e3e135abd35f54b2115
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
f3a4376880f4a2a6c4bfeaf0acee47055cddfde69c03219a383dadf003b18936
{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::create_event_draft", "name": "create_event_draft", "description": "Create a new event draft with basic details.", "parameters_json": "{\"properties\":{\"client_id\":{\"description\":\"Unique client identifier\",\"type\":\"string\"},\"estimated_attendees\":{\"description\":\"Initial he...
{ "candidate_id": "tool::review_contract", "action_name": "review_contract", "arguments_json": "{\"event_id\":\"ONBOARD2025\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.25, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 387, "source_identity": "636", "trajectory_id": "636", "step_index": 2, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
e195693dc9bea119db82f29cbeab5fce85e0b826bf40527ace274a8948d5b3ab
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
e4a4c9e788ecfae96f346e0b0cfb10f9c59acbe3e651efaca31e933a905b0820
{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::get_beer_details", "name": "get_beer_details", "description": "Retrieve details and availability status for a specific beer product.", "parameters_json": "{\"properties\":{\"beer_id\":{\"description\":\"Unique identifier for the beer product\",\"type\":\"string\"}},\"required\":[\"bee...
{ "candidate_id": "tool::list_available_beers", "action_name": "list_available_beers", "arguments_json": "{\"style_filter\":\"All\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.34375, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 388, "source_identity": "22", "trajectory_id": "22", "step_index": 0, "decision_ordinal":...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
1297734e5e4a4e40e675dc7aeb4884091f89d27218181dffddb396571e665a71
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
12738b1e6b9a49b6dc97136064fb4ebb673556bc2affab2b5f355f348e6912d9
{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate users via User ID and Reservation ID before accessing booking details. Must complete before any booking-related actions.", "parameters_json": "{\"properties\":{\"reservation_id\":{\"description\":\"Reservati...
{ "candidate_id": "tool::transfer_to_human_agent", "action_name": "transfer_to_human_agent", "arguments_json": "{\"summary\":\"User needs help retrieving their Reservation ID. They provided User ID: FINDRES and contact email: events@company.com, but do not have their Reservation ID. Agent cannot authenticate or a...
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.375, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 389, "source_identity": "1070", "trajectory_id": "1070", "step_index": 0, "decision_ordin...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_guest", "name": "authenticate_guest", "description": "Authenticate guest identity using reservation code + last name OR loyalty ID + phone number.", "parameters_json": "{\"properties\":{\"last_name\":{\"description\":\"Guest's last name\",\"type\":\"string\"},\"loyalty_id...
{ "candidate_id": "tool::transfer_to_human_agents", "action_name": "transfer_to_human_agents", "arguments_json": "{\"summary\":\"Guest authenticated with reservation RES394041 (Smith) requests to update billing address and ensure tax ID is included on invoice. No tool available for billing/invoice modifications.\...
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 390, "source_identity": "423", "trajectory_id": "423", "step_index": 2, "decision_ordinal...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Verify user identity via ID/phone/email for account holders or booking ID + last 4 payment digits for guests", "parameters_json": "{\"properties\":{\"auth_method\":{\"enum\":[\"email_code\",\"sms_code\",\"guest_booking\"...
{ "candidate_id": "tool::get_current_time", "action_name": "get_current_time", "arguments_json": "{}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 394, "source_identity": "864", "trajectory_id": "864", "step_index": 0, "decision_ordinal...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::create_event_draft", "name": "create_event_draft", "description": "Create a new event draft with basic details.", "parameters_json": "{\"properties\":{\"client_id\":{\"description\":\"Unique client identifier\",\"type\":\"string\"},\"estimated_attendees\":{\"description\":\"Initial he...
{ "candidate_id": "tool::modify_booking", "action_name": "modify_booking", "arguments_json": "{\"event_id\":\"ONBOARD2025\",\"new_end_time\":\"2025-07-10T17:00:00-07:00\",\"new_start_time\":\"2025-07-10T09:00:00-07:00\"}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 395, "source_identity": "636", "trajectory_id": "636", "step_index": 0, "decision_ordinal...
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
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null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_traveler", "name": "authenticate_traveler", "description": "Verify traveler identity using primary or secondary authentication methods", "parameters_json": "{\"properties\":{\"booking_id\":{\"description\":\"Primary booking identifier\",\"type\":\"string\"},\"last_name\":...
{ "candidate_id": "tool::get_traveler_profile", "action_name": "get_traveler_profile", "arguments_json": "{\"access_level\":\"full\",\"traveler_id\":\"T187263945\"}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 397, "source_identity": "638", "trajectory_id": "638", "step_index": 1, "decision_ordinal...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
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null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Verify user identity using:\n- Account ID + registered email\nOR\n- Order number + last 4 digits of payment method", "parameters_json": "{\"properties\":{\"account_id\":{\"description\":\"User account ID (if using accoun...
{ "candidate_id": "tool::get_user_profile", "action_name": "get_user_profile", "arguments_json": "{\"user_id\":\"U123456\"}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 398, "source_identity": "25", "trajectory_id": "25", "step_index": 2, "decision_ordinal":...
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
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null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate user using full name with either email or phone plus security code. Required for profile-level actions.", "parameters_json": "{\"properties\":{\"email\":{\"description\":\"User's registered email address\",\...
{ "candidate_id": "tool::get_vendor_details", "action_name": "get_vendor_details", "arguments_json": "{\"vendor_id\":\"VENUE-2023\"}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 399, "source_identity": "1072", "trajectory_id": "1072", "step_index": 2, "decision_ordin...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
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null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Verify user identity using email or phone number + security PIN", "parameters_json": "{\"properties\":{\"email_or_phone\":{\"type\":\"string\"},\"security_pin\":{\"type\":\"string\"}},\"required\":[\"email_or_phone\",\"s...
{ "candidate_id": "tool::transfer_to_human_support", "action_name": "transfer_to_human_support", "arguments_json": "{\"summary\":\"User requests exception to 24-hour workshop cancellation policy due to medical emergency. Workshop wkshp-6d7e8f scheduled in 22 hours. User has documentation to share.\"}", "label_j...
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 400, "source_identity": "24", "trajectory_id": "24", "step_index": 0, "decision_ordinal":...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
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null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::search_events", "name": "search_events", "description": "Search available events based on date, venue, or artist. Filters events occurring after the current time.", "parameters_json": "{\"properties\":{\"artist\":{\"description\":\"Performer or production name\",\"title\":\"Artist\",\...
{ "candidate_id": "tool::check_seat_availability", "action_name": "check_seat_availability", "arguments_json": "{\"event_id\":\"DANCE2025-08\",\"tier\":\"2\"}", "label_json": null }
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 402, "source_identity": "228", "trajectory_id": "228", "step_index": 2, "decision_ordinal...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
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null
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[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate user identity via email/SMS verification code. Required before accessing protected resources.", "parameters_json": "{\"properties\":{\"user_id\":{\"description\":\"Unique client identifier\",\"title\":\"User...
{ "candidate_id": "tool::manage_subscription", "action_name": "manage_subscription", "arguments_json": "{\"action\":\"disable_auto_renewal\",\"confirmation\":true,\"user_id\":\"SEA001\"}", "label_json": null }
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 403, "source_identity": "227", "trajectory_id": "227", "step_index": 0, "decision_ordinal...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
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null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate user using full name with either email or phone plus security code. Required for profile-level actions.", "parameters_json": "{\"properties\":{\"email\":{\"description\":\"User's registered email address\",\...
{ "candidate_id": "tool::get_wedding_details", "action_name": "get_wedding_details", "arguments_json": "{\"event_id\":\"GC-4320\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.1875, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 404, "source_identity": "1072", "trajectory_id": "1072", "step_index": 3, "decision_ordin...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
c2ef4b2f045e6a24eea3a3028b05cdb939dd8a3379bc208258fd2435202efdb2
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Verify user identity using:\n- Account ID + registered email\nOR\n- Order number + last 4 digits of payment method", "parameters_json": "{\"properties\":{\"account_id\":{\"description\":\"User account ID (if using accoun...
{ "candidate_id": "tool::initiate_return", "action_name": "initiate_return", "arguments_json": "{\"issue_type\":\"certification_failure\",\"lot_numbers\":[\"LOT-2023-077889\"],\"order_id\":\"O77889\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.46875, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 406, "source_identity": "25", "trajectory_id": "25", "step_index": 1, "decision_ordinal":...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
9c59456d501512d5d00ed440c79393106d85faf9efb27ae98c49cfe598cbb5d7
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate user using full name with either email or phone plus security code. Required for profile-level actions.", "parameters_json": "{\"properties\":{\"email\":{\"description\":\"User's registered email address\",\...
{ "candidate_id": "tool::process_payment", "action_name": "process_payment", "arguments_json": "{\"amount\":5000,\"event_id\":\"GC-4320\",\"payment_phase\":\"booking_deposit\",\"recipient_id\":\"VENUE-2023\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 407, "source_identity": "1072", "trajectory_id": "1072", "step_index": 4, "decision_ordin...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_patient", "name": "authenticate_patient", "description": "Verify patient identity using date of birth and last four SSN digits or name/phone/ZIP for non-registered users.", "parameters_json": "{\"properties\":{\"auth_method\":{\"description\":\"Authentication method\",\"e...
{ "candidate_id": "tool::transfer_to_human_agents", "action_name": "transfer_to_human_agents", "arguments_json": "{\"summary\":\"Patient P65257 requesting early refill of Suboxone 8mg/2mg (controlled substance). Patient states lost medication while traveling, running out, already used last dose, third refill this...
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 408, "source_identity": "639", "trajectory_id": "639", "step_index": 0, "decision_ordinal...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_customer", "name": "authenticate_customer", "description": "Verify customer identity using Customer ID and service address", "parameters_json": "{\"properties\":{\"customer_id\":{\"type\":\"string\"},\"service_address\":{\"type\":\"string\"}},\"required\":[\"customer_id\"...
{ "candidate_id": "tool::get_fee_structure", "action_name": "get_fee_structure", "arguments_json": "{\"customer_tier\":\"Commercial\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.59375, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 409, "source_identity": "640", "trajectory_id": "640", "step_index": 2, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::search_events", "name": "search_events", "description": "Search available events based on date, venue, or artist. Filters events occurring after the current time.", "parameters_json": "{\"properties\":{\"artist\":{\"description\":\"Performer or production name\",\"title\":\"Artist\",\...
{ "candidate_id": "tool::get_ticket_details", "action_name": "get_ticket_details", "arguments_json": "{\"ticket_id\":\"DANCE2025-08-2B-15\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.5, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 410, "source_identity": "228", "trajectory_id": "228", "step_index": 0, "decision_ordinal...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::verify_customer_id_email", "name": "verify_customer_id_email", "description": "Verify identity using customer ID and registered email.", "parameters_json": "{\"properties\":{\"customer_id\":{\"type\":\"string\"},\"email\":{\"type\":\"string\"}},\"required\":[\"customer_id\",\"email\"]...
{ "candidate_id": "tool::get_loyalty_details", "action_name": "get_loyalty_details", "arguments_json": "{\"customer_id\":\"34587291\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.28125, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 411, "source_identity": "26", "trajectory_id": "26", "step_index": 0, "decision_ordinal":...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::verify_customer_id_email", "name": "verify_customer_id_email", "description": "Verify identity using customer ID and registered email.", "parameters_json": "{\"properties\":{\"customer_id\":{\"type\":\"string\"},\"email\":{\"type\":\"string\"}},\"required\":[\"customer_id\",\"email\"]...
{ "candidate_id": "tool::get_customer_details", "action_name": "get_customer_details", "arguments_json": "{\"customer_id\":\"34587291\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.28125, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 413, "source_identity": "26", "trajectory_id": "26", "step_index": 1, "decision_ordinal":...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_influencer", "name": "authenticate_influencer", "description": "Verify influencer identity using ID and date of birth. Required for accessing influencer-specific functions.", "parameters_json": "{\"properties\":{\"date_of_birth\":{\"type\":\"string\"},\"influencer_id\":{\...
{ "candidate_id": "tool::modify_deliverables", "action_name": "modify_deliverables", "arguments_json": "{\"campaign_id\":\"CAM-3337\",\"new_deliverables\":[{\"quantity\":2,\"type\":\"story\"},{\"quantity\":3,\"type\":\"reel\"},{\"quantity\":2,\"type\":\"post\"}]}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 414, "source_identity": "1074", "trajectory_id": "1074", "step_index": 0, "decision_ordin...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_influencer", "name": "authenticate_influencer", "description": "Verify influencer identity using ID and date of birth. Required for accessing influencer-specific functions.", "parameters_json": "{\"properties\":{\"date_of_birth\":{\"type\":\"string\"},\"influencer_id\":{\...
{ "candidate_id": "tool::get_campaign_status", "action_name": "get_campaign_status", "arguments_json": "{\"campaign_id\":\"CAM-3337\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.125, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 416, "source_identity": "1074", "trajectory_id": "1074", "step_index": 1, "decision_ordin...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_client", "name": "authenticate_client", "description": "Authenticate client using Client ID and Order ID for order actions or email/phone for profile access", "parameters_json": "{\"properties\":{\"auth_method\":{\"description\":\"Authentication method to use\",\"enum\":[...
{ "candidate_id": "tool::escalate_to_human", "action_name": "escalate_to_human", "arguments_json": "{\"summary\":\"Client HR456 order RELIGIOUS12 requests modification to make entire menu kosher-certified for religious observance. Event in approximately 116 hours. Kosher certification not available as standard me...
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 417, "source_identity": "427", "trajectory_id": "427", "step_index": 3, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_customer", "name": "authenticate_customer", "description": "Authenticate customer using VIN and phone number verification. Required before any account-sensitive actions.", "parameters_json": "{\"properties\":{\"phone_number\":{\"description\":\"Registered phone number inc...
{ "candidate_id": "tool::transfer_to_human_agent", "action_name": "transfer_to_human_agent", "arguments_json": "{\"summary\":\"Customer Margaret Thompson (CUST-123456) requesting payment plan options for $1,200 repair estimate. Customer is on fixed income and cannot pay full amount upfront. Policy requires full p...
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 422, "source_identity": "230", "trajectory_id": "230", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate user using driver's license ID and reservation confirmation code. Required before accessing reservation details or performing actions.", "parameters_json": "{\"properties\":{\"driver_license_id\":{\"descript...
{ "candidate_id": "tool::transfer_to_human_agents", "action_name": "transfer_to_human_agents", "arguments_json": "{\"summary\":\"Customer reports contaminated fuel from Station X on July 19 causing engine damage and $280 repair. Disputes $150 refuel charge. Requests investigation into fuel supply chain and refund...
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.46875, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 423, "source_identity": "642", "trajectory_id": "642", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::verify_identity", "name": "verify_identity", "description": "Authenticate customer using reservation ID + contact info or driver's license + ZIP code", "parameters_json": "{\"anyOf\":[{\"required\":[\"reservation_id\",\"contact_info\"]},{\"required\":[\"driver_license\",\"zip_code\"]}...
{ "candidate_id": "tool::verify_identity", "action_name": "verify_identity", "arguments_json": "{\"contact_info\":\"your_email@example.com\",\"reservation_id\":\"RES890123\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.5625, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 425, "source_identity": "429", "trajectory_id": "429", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::create_event_draft", "name": "create_event_draft", "description": "Create a new event draft with basic details.", "parameters_json": "{\"properties\":{\"client_id\":{\"description\":\"Unique client identifier\",\"type\":\"string\"},\"estimated_attendees\":{\"description\":\"Initial he...
{ "candidate_id": "tool::transfer_to_human_agent", "action_name": "transfer_to_human_agent", "arguments_json": "{\"summary\":\"Client needs assistance with in-kind donation for catering services under Event ID DONATE25 and Client ID INKIND25. Requires: 1) Verification of signed donation agreement, 2) Blocking tax...
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.125, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 427, "source_identity": "232", "trajectory_id": "232", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
b84e56930d846d86187f9f2d2cc30cd3732f3baefb78e65cb7f30c83cd4abc03
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::create_customer_profile", "name": "create_customer_profile", "description": "Create a new customer profile with contact information and payment methods.", "parameters_json": "{\"properties\":{\"contact_info\":{\"description\":\"Customer contact details (phone/email)\",\"type\":\"objec...
{ "candidate_id": "tool::get_booking_status", "action_name": "get_booking_status", "arguments_json": "{\"booking_id\":\"ESPORTS5\",\"confirmation_code\":\"#ESPORTS5\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.125, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 428, "source_identity": "872", "trajectory_id": "872", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_via_email_and_device", "name": "authenticate_via_email_and_device", "description": "Verify user identity using registered email and device serial number", "parameters_json": "{\"properties\":{\"device_serial\":{\"type\":\"string\"},\"email\":{\"type\":\"string\"}},\"requi...
{ "candidate_id": "tool::verify_device_ownership", "action_name": "verify_device_ownership", "arguments_json": "{\"device_serial\":\"A1B2C3D4E5\",\"user_id\":\"user_12345\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.40625, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 430, "source_identity": "1077", "trajectory_id": "1077", "step_index": 2, "decision_ordin...
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train
f1abd10941cd179a888117f2bd4f520e7c61338fe5682d754eb0414f8f998b4e
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::get_farm_details", "name": "get_farm_details", "description": "Retrieve farm information including field boundaries, soil profile, and crop cycle.", "parameters_json": "{\"properties\":{\"farm_id\":{\"description\":\"Unique farm identifier\",\"type\":\"string\"}},\"required\":[\"farm_...
{ "candidate_id": "tool::verify_field_conditions", "action_name": "verify_field_conditions", "arguments_json": "{\"field_id\":\"ND-WHEAT-ORG\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.03125, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 433, "source_identity": "873", "trajectory_id": "873", "step_index": 1, "decision_ordinal...
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train
f8087ffddfa51bcc8d06fc79397ffeb63a3724e5d6694e7f0a5fcbff21b52e21
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate user identity using User ID and email verification. Required for account operations.", "parameters_json": "{\"properties\":{\"user_id\":{\"description\":\"Unique user identifier\",\"type\":\"string\"},\"veri...
{ "candidate_id": "tool::get_post_status", "action_name": "get_post_status", "arguments_json": "{\"post_id\":\"CAREERFAIR23\"}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 434, "source_identity": "30", "trajectory_id": "30", "step_index": 0, "decision_ordinal":...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_rider", "name": "authenticate_rider", "description": "Authenticate a rider using Rider ID and phone/email verification code.", "parameters_json": "{\"properties\":{\"rider_id\":{\"description\":\"Unique rider identifier\",\"type\":\"string\"},\"verification_code\":{\"desc...
{ "candidate_id": "tool::book_service", "action_name": "book_service", "arguments_json": "{\"duration\":60,\"horse_id\":\"H101\",\"rider_id\":\"R22334\",\"service_type\":\"Lesson\",\"start_time\":\"2025-11-10T10:00:00-05:00\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.125, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 436, "source_identity": "234", "trajectory_id": "234", "step_index": 4, "decision_ordinal...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::get_farm_details", "name": "get_farm_details", "description": "Retrieve farm information including field boundaries, soil profile, and crop cycle.", "parameters_json": "{\"properties\":{\"farm_id\":{\"description\":\"Unique farm identifier\",\"type\":\"string\"}},\"required\":[\"farm_...
{ "candidate_id": "tool::get_subscription_tier", "action_name": "get_subscription_tier", "arguments_json": "{\"account_id\":\"ND-WHEAT-ORG\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.03125, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 437, "source_identity": "873", "trajectory_id": "873", "step_index": 2, "decision_ordinal...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate user identity using User ID and email verification. Required for account operations.", "parameters_json": "{\"properties\":{\"user_id\":{\"description\":\"Unique user identifier\",\"type\":\"string\"},\"veri...
{ "candidate_id": "tool::transfer_to_human_agent", "action_name": "transfer_to_human_agent", "arguments_json": "{\"summary\":\"University career services director needs urgent assistance with post ID CAREERFAIR23 stuck in 3-approver bottleneck for October 15th job fair event. User requests discussion with team ad...
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.46875, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 438, "source_identity": "30", "trajectory_id": "30", "step_index": 1, "decision_ordinal":...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_customer", "name": "authenticate_customer", "description": "Authenticate customer using Customer ID and Equipment PIN.\nRequired before any account-sensitive operations.", "parameters_json": "{\"properties\":{\"customer_id\":{\"description\":\"Unique customer identifier\"...
{ "candidate_id": "tool::transfer_to_human_agents", "action_name": "transfer_to_human_agents", "arguments_json": "{\"summary\":\"Customer GT-9921 reports chemical contamination issue with combine serial COM-GT2021-991. Unknown chemical composition. Immediate specialist handling required per safety protocols.\"}",...
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.46875, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 439, "source_identity": "645", "trajectory_id": "645", "step_index": 0, "decision_ordinal...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_customer", "name": "authenticate_customer", "description": "Authenticate customer using Account Number + ZIP or Phone + Last 4 SSN. Required before accessing any account data.", "parameters_json": "{\"properties\":{\"credentials\":{\"anyOf\":[{\"properties\":{\"account_nu...
{ "candidate_id": "tool::request_service_change", "action_name": "request_service_change", "arguments_json": "{\"account_number\":\"789123456\",\"action_type\":\"start\",\"effective_date\":\"2025-05-10\",\"military_deployment\":false}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 440, "source_identity": "430", "trajectory_id": "430", "step_index": 0, "decision_ordinal...
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train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_client", "name": "authenticate_client", "description": "Verify client identity using ID and birthdate", "parameters_json": "{\"properties\":{\"birthdate\":{\"format\":\"date\",\"type\":\"string\"},\"client_id\":{\"type\":\"string\"}},\"required\":[\"client_id\",\"birthdat...
{ "candidate_id": "tool::verify_family_member", "action_name": "verify_family_member", "arguments_json": "{\"client_id\":\"C11227\",\"family_member_id\":\"FAM-12345\",\"pin\":\"5678\",\"relationship\":\"Son\"}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 442, "source_identity": "33", "trajectory_id": "33", "step_index": 0, "decision_ordinal":...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
85554e402162cce3be632afa37184ce17f13a7bc2e4b38b10899dff58a3a2ab5
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::verify_identity", "name": "verify_identity", "description": "Authenticate user identity using allowed methods for sensitive operations", "parameters_json": "{\"properties\":{\"code\":{\"description\":\"Verification code/PIN\",\"type\":\"string\"},\"method\":{\"description\":\"Authenti...
{ "candidate_id": "tool::check_device_status", "action_name": "check_device_status", "arguments_json": "{\"device_id\":\"HUB2023\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.59375, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 443, "source_identity": "431", "trajectory_id": "431", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_client", "name": "authenticate_client", "description": "Verify client identity using ID and birthdate", "parameters_json": "{\"properties\":{\"birthdate\":{\"format\":\"date\",\"type\":\"string\"},\"client_id\":{\"type\":\"string\"}},\"required\":[\"client_id\",\"birthdat...
{ "candidate_id": "tool::get_scheduled_services", "action_name": "get_scheduled_services", "arguments_json": "{\"client_id\":\"C11227\",\"end_date\":\"2025-12-25\",\"start_date\":\"2025-12-25\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.375, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 445, "source_identity": "33", "trajectory_id": "33", "step_index": 3, "decision_ordinal":...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::verify_identity", "name": "verify_identity", "description": "Authenticate user identity using allowed methods for sensitive operations", "parameters_json": "{\"properties\":{\"code\":{\"description\":\"Verification code/PIN\",\"type\":\"string\"},\"method\":{\"description\":\"Authenti...
{ "candidate_id": "tool::get_subscription_tier", "action_name": "get_subscription_tier", "arguments_json": "{\"user_id\":\"MEDICAL1\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.125, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 446, "source_identity": "647", "trajectory_id": "647", "step_index": 1, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
df2786be83e67c0a234586c49ca6dddf942ebd50b06ee8f178b3c4836341e4b8
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
9b314684565aa6f4d606a5fdb838b09c32508305b265841ca854118c175d6c9a
{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::verify_identity", "name": "verify_identity", "description": "Authenticate user identity using allowed methods for sensitive operations", "parameters_json": "{\"properties\":{\"code\":{\"description\":\"Verification code/PIN\",\"type\":\"string\"},\"method\":{\"description\":\"Authenti...
{ "candidate_id": "tool::verify_identity", "action_name": "verify_identity", "arguments_json": "{\"code\":\"4567\",\"method\":\"pin\",\"user_id\":\"MEDICAL1\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.3125, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 448, "source_identity": "647", "trajectory_id": "647", "step_index": 0, "decision_ordinal...
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train
76100b806a93a69c61bcf63e91ac7db03dec27874fd2f446daa3e666c72420e7
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::verify_client_identity", "name": "verify_client_identity", "description": "Authenticate client identity through account ID + registered phone, email + security code, or company ID + contact validation", "parameters_json": "{\"properties\":{\"auth_method\":{\"description\":\"Authentica...
{ "candidate_id": "tool::verify_client_identity", "action_name": "verify_client_identity", "arguments_json": "{\"auth_method\":\"email\",\"credentials\":{\"auth_value\":\"enterprise@e8833.com\",\"client_id\":\"E-8833\"}}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.40625, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 450, "source_identity": "432", "trajectory_id": "432", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
3e3c7675667a34fb43cf8a3c62ee1fb3979da315a69a4f0d3a37bc95b1db9bf6
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_client", "name": "authenticate_client", "description": "Verify client identity using ID and birthdate", "parameters_json": "{\"properties\":{\"birthdate\":{\"format\":\"date\",\"type\":\"string\"},\"client_id\":{\"type\":\"string\"}},\"required\":[\"client_id\",\"birthdat...
{ "candidate_id": "tool::get_client_profile", "action_name": "get_client_profile", "arguments_json": "{\"client_id\":\"C11227\"}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 453, "source_identity": "33", "trajectory_id": "33", "step_index": 2, "decision_ordinal":...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_client", "name": "authenticate_client", "description": "Verify client identity using ID and birthdate", "parameters_json": "{\"properties\":{\"birthdate\":{\"format\":\"date\",\"type\":\"string\"},\"client_id\":{\"type\":\"string\"}},\"required\":[\"client_id\",\"birthdat...
{ "candidate_id": "tool::schedule_service", "action_name": "schedule_service", "arguments_json": "{\"client_id\":\"C11227\",\"consent_obtained\":true,\"duration\":2,\"emergency_surcharge\":true,\"medication_flag\":true,\"service_type\":\"DailyLiving\",\"start_time\":\"2025-12-25 08:00:00\"}", "label_json": null...
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 454, "source_identity": "33", "trajectory_id": "33", "step_index": 0, "decision_ordinal":...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
af1d30f25e6c47dd0aa8d3d109508a0fd113e2ddb438b5052e194adfa82f76f6
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::check_attraction_status", "name": "check_attraction_status", "description": "Retrieve current operational status and details of a theme park attraction", "parameters_json": "{\"properties\":{\"attractionId\":{\"description\":\"Unique identifier for the attraction\",\"type\":\"string\"...
{ "candidate_id": "tool::transfer_to_human_agent", "action_name": "transfer_to_human_agent", "arguments_json": "{\"summary\":\"Senior guest SENIOR-9900 with ticket TKT-2025-1100 requests membership freeze due to sudden illness, unable to attend scheduled visit on May 20th. Requires medical documentation review fo...
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 455, "source_identity": "433", "trajectory_id": "433", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
d3a434637080ac2861c75ce08dc1626fa673245e88307ee48fec398b5c363b6a
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Verify user identity using User ID plus registered email or phone", "parameters_json": "{\"properties\":{\"email\":{\"description\":\"Registered email address\",\"title\":\"Email\",\"type\":\"string\"},\"phone\":{\"descr...
{ "candidate_id": "tool::get_policy_information", "action_name": "get_policy_information", "arguments_json": "{\"policy_topic\":\"refund\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.5, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 460, "source_identity": "239", "trajectory_id": "239", "step_index": 1, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
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nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate user identity using:\n- Phone number + license plate\n- Email address + license plate", "parameters_json": "{\"properties\":{\"email\":{\"description\":\"User's email address\",\"type\":\"string\"},\"license...
{ "candidate_id": "tool::book_appointment", "action_name": "book_appointment", "arguments_json": "{\"service_type\":\"Full Detailing\",\"time_slot\":\"2024-01-20T11:00:00Z\",\"user_id\":\"user_12345\",\"vehicle_license_plate\":\"PAINT3\"}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 463, "source_identity": "1081", "trajectory_id": "1081", "step_index": 1, "decision_ordin...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
aa0871113c3443a9a470a11b0c7f28474d6d68a9cb1957ac72f55540523f6363
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate user using either:\n\n- User ID + Registered Email + Last 4 Phone Digits, OR\n- Order ID + Billing ZIP Code", "parameters_json": "{\"properties\":{\"auth_method\":{\"description\":\"Authentication method typ...
{ "candidate_id": "tool::authenticate_user", "action_name": "authenticate_user", "arguments_json": "{\"auth_method\":\"order_credentials\",\"credentials\":{\"billing_zip_code\":\"94043\",\"order_id\":\"PN-LAWLIB-8901\"}}", "label_json": null }
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 464, "source_identity": "36", "trajectory_id": "36", "step_index": 0, "decision_ordinal":...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
70546e0b1272b560fb210d3b36140f52c29143e31965ea1b643f0e217d80e8d2
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
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{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::get_user_details", "name": "get_user_details", "description": "Retrieve user profile details including delivery addresses, payment methods, loyalty tier, substitution preferences, and dietary restrictions.", "parameters_json": "{\"properties\":{\"user_id\":{\"description\":\"Unique us...
{ "candidate_id": "tool::transfer_to_human_agent", "action_name": "transfer_to_human_agent", "arguments_json": "{\"summary\":\"User has IBS and needs to confirm FODMAP levels of items in order #FX88408 using Monash University certification standards, as standard dietary flags aren't sufficient for their medical n...
[]
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{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 465, "source_identity": "653", "trajectory_id": "653", "step_index": 0, "decision_ordinal...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
304fff1d7ef41c61194873cd838fa88d95df1de3c54de612006c38c1bf5dde53
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
e00089c70c6273ce14c5597873b08da0ad494e403d4e6d2a22f500a75fd5306f
{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::generate_quote", "name": "generate_quote", "description": "Generate instant translation quote based on project specifications", "parameters_json": "{\"properties\":{\"document_type\":{\"description\":\"Type of document being translated\",\"enum\":[\"legal\",\"medical\",\"technical\",\...
{ "candidate_id": "tool::get_project_status", "action_name": "get_project_status", "arguments_json": "{\"project_id\":\"ACKNOW77\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.59375, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 466, "source_identity": "1082", "trajectory_id": "1082", "step_index": 2, "decision_ordin...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
6d99f48ab7b37f68e1878b20fb84f56a5abeabe57d6486bf2c8cfd23c74d33d8
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
53022ad4cbdfd3973ba3dee04aa0215e02a632261e60c8d5514d8092f62c4058
{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::generate_quote", "name": "generate_quote", "description": "Generate instant translation quote based on project specifications", "parameters_json": "{\"properties\":{\"document_type\":{\"description\":\"Type of document being translated\",\"enum\":[\"legal\",\"medical\",\"technical\",\...
{ "candidate_id": "tool::get_client_profile", "action_name": "get_client_profile", "arguments_json": "{\"client_id\":\"C-77291\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.3125, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 468, "source_identity": "1082", "trajectory_id": "1082", "step_index": 3, "decision_ordin...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train
75fb0db31c4d5c987f7ba71a188c021b7f9e86ee72e903cd933825c658d43506
nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
tool_choice
trainable
null
7731f2baee8d26db9c273dba4fa81f5fee9efa0f5f281ff03e578852304d13f0
{ "system": "You are a customer service agent that helps the user. The policy that determines how you should respond to requests from users is described below between the <policy> and </policy> tags.\n\nIn each turn you can either:\n- Send a message to the user.\n- Make a tool call.\nYou cannot do both at the same t...
[ { "id": "tool::authenticate_user", "name": "authenticate_user", "description": "Authenticate user using either:\n\n- User ID + Registered Email + Last 4 Phone Digits, OR\n- Order ID + Billing ZIP Code", "parameters_json": "{\"properties\":{\"auth_method\":{\"description\":\"Authentication method typ...
{ "candidate_id": "tool::get_order_status", "action_name": "get_order_status", "arguments_json": "{\"order_id\":\"PN-LAWLIB-8901\"}", "label_json": null }
[]
{ "complete": null, "trajectory_success": null, "value_target": null, "reward": null, "score": null, "source_pass_rate": 0.28125, "outcome_evidence": null }
{ "dataset_id": "nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1", "dataset_revision": "9643c8103d7bfbc2d7fc4d15991d6739c612ff58", "source_config": "default", "raw_split": "train", "source_row_index": 469, "source_identity": "36", "trajectory_id": "36", "step_index": 1, "decision_ordinal":...
{ "choice_eligible": true, "completion_eligible": false, "value_eligible": false, "score_eligible": false, "boolean_eligible": false, "arguments_eligible": true, "use_for_bc": true, "use_for_value": false, "supervision_evidence": "explicit_expected_action", "choice_ineligible_reason": null, "quali...
train