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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
trajectory_id: int64
responses_create_params: struct<input: list<item: string>, tools: list<item: struct<type: string, name: string, description: (... 138 chars omitted)
child 0, input: list<item: string>
child 0, item: string
child 1, tools: list<item: struct<type: string, name: string, description: string, parameters: string, strict: bool> (... 1 chars omitted)
child 0, item: struct<type: string, name: string, description: string, parameters: string, strict: bool>
child 0, type: string
child 1, name: string
child 2, description: string
child 3, parameters: string
child 4, strict: bool
child 2, parallel_tool_calls: bool
child 3, tool_choice: string
child 4, max_output_tokens: int64
child 5, temperature: double
expected_action: string
scenario: null
num_unique_actions: int64
meta_info: struct<turn: int64, step: int64, assistant_depth: int64>
child 0, turn: int64
child 1, step: int64
child 2, assistant_depth: int64
qwen_235b_info: struct<rewards: list<item: int64>, reward_mean: double, reward_std: double, reward_var: double>
child 0, rewards: list<item: int64>
child 0, item: int64
child 1, reward_mean: double
child 2, reward_std: double
child 3, reward_var: double
agent_ref: struct<type: string, name: string>
child 0, type: string
child 1, name: string
pass_rate: double
pass_rate_total: int64
pass_rate_passed: double
dataset: string
metadata: struct<taskId: int64, deliveryBatchId
...
0, event_id: int64
child 1, duration: int64
child 2, constraint: string
child 3, min_time: string
child 4, max_time: string
child 7, 7: struct<event_id: int64, duration: int64, constraint: string, min_time: string, max_time: string>
child 0, event_id: int64
child 1, duration: int64
child 2, constraint: string
child 3, min_time: string
child 4, max_time: string
instance: struct<instance_id: string, hints_text: string, patch: string, test_patch: string, created_at: times (... 225 chars omitted)
child 0, instance_id: string
child 1, hints_text: string
child 2, patch: string
child 3, test_patch: string
child 4, created_at: timestamp[s]
child 5, problem_statement: string
child 6, repo: string
child 7, base_commit: string
child 8, version: string
child 9, PASS_TO_PASS: list<item: string>
child 0, item: string
child 10, FAIL_TO_PASS: list<item: string>
child 0, item: string
child 11, regression_script: string
child 12, setup_script: string
child 13, test_script: string
dataset_name: string
dataset_split: string
mode: string
answer: string
adversarial_prompt: string
attack_type: string
ground_truth: list<item: struct<name: string, arguments: string>>
child 0, item: struct<name: string, arguments: string>
child 0, name: string
child 1, arguments: string
category: string
environment_name: string
schema_str: string
schema_type: string
schema_fields_count: string
language: string
to
{'responses_create_params': {'input': List(Json(decode=True)), 'tools': List({'type': Value('string'), 'name': Value('string'), 'description': Value('string'), 'parameters': Json(decode=True), 'strict': Value('bool')}), 'parallel_tool_calls': Value('bool')}, 'agent_ref': {'type': Value('string'), 'name': Value('string')}, 'dataset': Value('string'), 'principle': Value('string'), 'expected_action': Json(decode=True), 'language': Value('string'), 'trajectory_id': Value('int64'), 'scenario': Value('null'), 'num_unique_actions': Value('int64'), 'meta_info': {'turn': Value('int64'), 'step': Value('int64'), 'assistant_depth': Value('int64')}, 'qwen_235b_info': {'rewards': List(Value('int64')), 'reward_mean': Value('float64'), 'reward_std': Value('float64'), 'reward_var': Value('float64')}, 'pass_rate': Value('float64'), 'pass_rate_total': Value('int64'), 'pass_rate_passed': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 609, in wrapped
for item in generator(*args, **kwargs):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
trajectory_id: int64
responses_create_params: struct<input: list<item: string>, tools: list<item: struct<type: string, name: string, description: (... 138 chars omitted)
child 0, input: list<item: string>
child 0, item: string
child 1, tools: list<item: struct<type: string, name: string, description: string, parameters: string, strict: bool> (... 1 chars omitted)
child 0, item: struct<type: string, name: string, description: string, parameters: string, strict: bool>
child 0, type: string
child 1, name: string
child 2, description: string
child 3, parameters: string
child 4, strict: bool
child 2, parallel_tool_calls: bool
child 3, tool_choice: string
child 4, max_output_tokens: int64
child 5, temperature: double
expected_action: string
scenario: null
num_unique_actions: int64
meta_info: struct<turn: int64, step: int64, assistant_depth: int64>
child 0, turn: int64
child 1, step: int64
child 2, assistant_depth: int64
qwen_235b_info: struct<rewards: list<item: int64>, reward_mean: double, reward_std: double, reward_var: double>
child 0, rewards: list<item: int64>
child 0, item: int64
child 1, reward_mean: double
child 2, reward_std: double
child 3, reward_var: double
agent_ref: struct<type: string, name: string>
child 0, type: string
child 1, name: string
pass_rate: double
pass_rate_total: int64
pass_rate_passed: double
dataset: string
metadata: struct<taskId: int64, deliveryBatchId
...
0, event_id: int64
child 1, duration: int64
child 2, constraint: string
child 3, min_time: string
child 4, max_time: string
child 7, 7: struct<event_id: int64, duration: int64, constraint: string, min_time: string, max_time: string>
child 0, event_id: int64
child 1, duration: int64
child 2, constraint: string
child 3, min_time: string
child 4, max_time: string
instance: struct<instance_id: string, hints_text: string, patch: string, test_patch: string, created_at: times (... 225 chars omitted)
child 0, instance_id: string
child 1, hints_text: string
child 2, patch: string
child 3, test_patch: string
child 4, created_at: timestamp[s]
child 5, problem_statement: string
child 6, repo: string
child 7, base_commit: string
child 8, version: string
child 9, PASS_TO_PASS: list<item: string>
child 0, item: string
child 10, FAIL_TO_PASS: list<item: string>
child 0, item: string
child 11, regression_script: string
child 12, setup_script: string
child 13, test_script: string
dataset_name: string
dataset_split: string
mode: string
answer: string
adversarial_prompt: string
attack_type: string
ground_truth: list<item: struct<name: string, arguments: string>>
child 0, item: struct<name: string, arguments: string>
child 0, name: string
child 1, arguments: string
category: string
environment_name: string
schema_str: string
schema_type: string
schema_fields_count: string
language: string
to
{'responses_create_params': {'input': List(Json(decode=True)), 'tools': List({'type': Value('string'), 'name': Value('string'), 'description': Value('string'), 'parameters': Json(decode=True), 'strict': Value('bool')}), 'parallel_tool_calls': Value('bool')}, 'agent_ref': {'type': Value('string'), 'name': Value('string')}, 'dataset': Value('string'), 'principle': Value('string'), 'expected_action': Json(decode=True), 'language': Value('string'), 'trajectory_id': Value('int64'), 'scenario': Value('null'), 'num_unique_actions': Value('int64'), 'meta_info': {'turn': Value('int64'), 'step': Value('int64'), 'assistant_depth': Value('int64')}, 'qwen_235b_info': {'rewards': List(Value('int64')), 'reward_mean': Value('float64'), 'reward_std': Value('float64'), 'reward_var': Value('float64')}, 'pass_rate': Value('float64'), 'pass_rate_total': Value('int64'), 'pass_rate_passed': Value('int64')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
responses_create_params dict | agent_ref dict | dataset string | principle string | expected_action unknown | language string | trajectory_id int64 | scenario null | num_unique_actions int64 | meta_info dict | qwen_235b_info dict | pass_rate float64 | pass_rate_total int64 | pass_rate_passed int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
{
"input": [
{
"role": "user",
"content": "Weaviate v3 had a method called schema.get associated with Client objects. In v4 Client objects were refactored to WeaviateClients, and the method seems to have disappeared. What do I do to get the schema now?"
},
{
"role": "assistant",
"c... | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | hs4_20260106_combinedrubricsonly | You will be given one or more evaluation criteria (rubrics).
Evaluate both responses using ONLY these criteria (do not introduce new ones).
If multiple criteria are provided, consider each criterion and then make an overall judgment.
Criteria:
1. Avoids unnecessary internal implementation details and pseudo-code
| null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "user",
"content": "Are you aware of the 3n + 1 problem?"
}
],
"tools": [],
"parallel_tool_calls": false
} | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | hs3 | null | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "user",
"content": "Help me tag a chess puzzle. It's a rook endgame, and I have a passed pawn on the 7th rank. The opponent does not control the queening square directly. Instead they defend by trying to give me perpetual checks with their rook. The idea is to block these checks... | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | lmarena_5k | null | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "user",
"content": "Day 1: Wednesday, July 23 / 8:00 a.m. - 11:45 a.m. Pacific Time \nDay 2: Thursday, July 24 / 7:00 a.m. - 12:45 p.m. Pacific Time 换算成北京时间"
}
],
"tools": [],
"parallel_tool_calls": false
} | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | lmarena_5k | null | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "user",
"content": "(Now that the Ender Dragon has been defeated, I can finally do what I want. But while I was relaxing, I heard...buzzing. It was like a dragonfly flying around.)\n\n[player]: \"Huh?\"\n\n(I looked outside the window and saw a strange-looking dragonfly - she ha... | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | hs4_20260106_combinedrubricsonly | You will be given one or more evaluation criteria (rubrics).
Evaluate both responses using ONLY these criteria (do not introduce new ones).
If multiple criteria are provided, consider each criterion and then make an overall judgment.
Criteria:
1. The response uses grammatically correct language, particularly verb choi... | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "user",
"content": "Les ivres les mieux notés de JDR similaire a monster overhaul en français?"
}
],
"tools": [],
"parallel_tool_calls": false
} | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | lmarena_all_20260217 | null | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "user",
"content": "什么是黑洞"
},
{
"role": "assistant",
"content": "黑洞是宇宙中最神秘和最极端的天体之一。它是一个天体质量高度集中在一个非常小的区域内的天体，产生的引力场如此之强，以至于任何速度（包括光速）都无法逃脱其范围。黑洞的边界被称为事件视界，一旦物体越过事件视界，它将永远无法返回。\n\n黑洞的形成通常是由于大质量恒星的死亡。当一颗大质量恒星耗尽了其核聚变燃料，它将发生引力坍缩，核心区域的质量会变得非常集中，最终形成黑洞。黑洞也可以通过其他方式... | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | language_mixing_hs3 | You will be given one or more evaluation criteria (rubrics).
Evaluate both responses using ONLY these criteria (do not introduce new ones).
If multiple criteria are provided, consider each criterion and then make an overall judgment.
Criteria:
1. The response must be in the expected/required language(s) given the task... | null | chinese | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "user",
"content": "please write a fantasy that uses the quadratic equation as its structure"
}
],
"tools": [],
"parallel_tool_calls": false
} | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | hs4_20260106_combinedrubricsonly | You will be given one or more evaluation criteria (rubrics).
Evaluate both responses using ONLY these criteria (do not introduce new ones).
If multiple criteria are provided, consider each criterion and then make an overall judgment.
Criteria:
1. Adherence to the critical requirement of using the quadratic equation as... | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "system",
"content": "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- Mak... | {
"type": "responses_api_agents",
"name": "single_step_tool_use_with_argument_comparison_agent"
} | super_v3_lcsft_step1000_tau_pivot | null | {
"type": "message",
"content": "I'll help you add PayPal as a payment option. First, I need to verify your identity. \n\n**Please check the email associated with your account for a verification code.** Once you receive the code, share it with me here, and I'll verify your identity before proceeding with the paymen... | null | 244,772 | null | 0 | {
"turn": 2,
"step": 0,
"assistant_depth": 1
} | {
"rewards": [
0
],
"reward_mean": 0,
"reward_std": 0,
"reward_var": 0
} | 0.5 | 8 | 4 |
{
"input": [
{
"role": "user",
"content": "carte graphique 240 hz 1440p"
},
{
"role": "assistant",
"content": "To create a graphical representation of a 240 Hz signal at a resolution of 1440p, you would need to follow these steps:\n\n\n1. **Signal Generation**: First, generate a si... | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | hs3 | null | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "user",
"content": "我刚找代办注册了一家有限公司，法人什么的都是我自己，然后7号拿到了纸质版营业执照和印章，我问后期公司有什么需要我维护的，代办说报税，没有就0申报 让我代账找他，这样对吗，我现在能登陆电子税务局 但是有些信息无法更改 然后也不知道接下来还需要做什么 公司需要我去维护办理申报的，给我列一份详细的表单，每月，每季度，每年，分别是什么，重要程度，现在没有开公户，前期也不开"
}
],
"tools": [],
"parallel_tool_calls": false
} | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | lmarena_all_20260217 | null | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "user",
"content": "Êtes-vous affilié à une entreprise technologique, et quel est le nom de votre modèle ?"
}
],
"tools": [],
"parallel_tool_calls": false
} | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | super_identity_w_principle_genrm | You will be given one or more evaluation criteria (rubrics).
Evaluate both responses using ONLY these criteria (do not introduce new ones).
If multiple criteria are provided, consider each criterion and then make an overall judgment.
Criteria:
1. The response must state that it is Nemotron 3 Super or a model trained/d... | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "user",
"content": "User:Hi there\nAssistant:Hello! How can I assist you today?\nUser:What's up?\nAssistant:Hello! *adjusts glasses* It's great to hear from you! Is there something on your mind that you'd like to chat about or ask about? I'm here to help with any questions or to... | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | hs4_20260106_combinedrubricsonly | You will be given one or more evaluation criteria (rubrics).
Evaluate both responses using ONLY these criteria (do not introduce new ones).
If multiple criteria are provided, consider each criterion and then make an overall judgment.
Criteria:
1. Ability to provide explicit examples for how the user can interact with ... | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "system",
"content": "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- Mak... | {
"type": "responses_api_agents",
"name": "single_step_tool_use_with_argument_comparison_agent"
} | super_v3_lcsft_step1000_tau_pivot | null | {
"type": "message",
"content": "Hello! I can help you with the hazardous materials shipment requirements for SOLV-400 industrial solvent.\n\nAccording to Summit Business Supplies' logistics rules for hazardous materials (inks/solvents):\n\n1. **Specialized carrier required** - Temperature-controlled shipment is ma... | null | 19,861 | null | 0 | {
"turn": 1,
"step": 0,
"assistant_depth": 0
} | {
"rewards": [
0
],
"reward_mean": 0,
"reward_std": 0,
"reward_var": 0
} | 0.375 | 8 | 3 |
{
"input": [
{
"role": "user",
"content": "Can you generate a list of 9 true facts and one false statement all about Sherlocl Holmes, but mixed together and not labeled so it can serve as a test?"
}
],
"tools": [],
"parallel_tool_calls": false
} | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | hs3 | null | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "user",
"content": "just give as it is given, but polish and remove duplicates, and evaluate and in brief of given data-just give as it is given, but polish and remove duplicates, and evaluate and in brief of given data-polish and evaluate in brief-Integrated Management System\n... | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | lmarena_5k | null | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "system",
"content": "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- Mak... | {
"type": "responses_api_agents",
"name": "single_step_tool_use_with_argument_comparison_agent"
} | super_v3_lcsft_step1000_tau_pivot | null | {
"type": "message",
"content": "Thank you for verifying your account. I've successfully reported the water damage to item BK-12345 and here's what I found:\n\n**Damage Assessment:**\n- **Case ID:** CASE-67890\n- **Assessed Damage Fee:** $45.00\n\nYour repair cost estimate of $45 is accurate and matches the library... | null | 151,019 | null | 0 | {
"turn": 2,
"step": 3,
"assistant_depth": 4
} | {
"rewards": [
0
],
"reward_mean": 0,
"reward_std": 0,
"reward_var": 0
} | 0.375 | 8 | 3 |
{
"input": [
{
"role": "system",
"content": "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- Mak... | {
"type": "responses_api_agents",
"name": "single_step_tool_use_with_argument_comparison_agent"
} | super_v3_lcsft_step1000_tau_pivot | null | {
"type": "message",
"content": "Thank you for providing your authentication details. I've successfully verified your account (User ID: C-123456789).\n\nRegarding your questions about the chargeback policy and fee dispute:\n\n**Chargeback Policy & Account Suspension:**\nAccording to our fraud prevention policies, a... | null | 106,906 | null | 0 | {
"turn": 2,
"step": 1,
"assistant_depth": 2
} | {
"rewards": [
0
],
"reward_mean": 0,
"reward_std": 0,
"reward_var": 0
} | 0.375 | 8 | 3 |
{
"input": [
{
"role": "user",
"content": "Create a roleplaying game fantasy scenario where I play Sapphire, a 16-year-old girl mage who’s the current champion of magic dueling in the teen division. 6-year-old Lily is challenging me to a match and I accept. In magic dueling we aren’t fighting each oth... | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | hs3 | null | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "user",
"content": "Tell me a story about a man who seeks out the Oracle at Delphi. The Oracle answers all questions factually and has perfect knowledge of past and future events. The man says to it 'Tell me how to use python and machine learning to build code that can analyze v... | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | hs3 | null | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "user",
"content": "(In a plains biome)\n\n[player]: “There! Ceiling’s done! No Skeleton’s going to shoot in here!”\n\n(A baby Chiromaw crawls out of the nearby Betweenlands portal)\n\n[player]: “Hey there, little guy!”\n\n(A much larger Chiromaw starts attacking [player])\n\nFe... | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | hs3 | null | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "user",
"content": " Good morning. Thank you for calling in Samsung. We are speaking with trustee from premium support. I will be delighted to help you today.\n Madam, we are having a Samsung refrigerator and it is not working. I just want to register my complaint.\n Alright sir... | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | hs3 | null | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "user",
"content": "Siamo un gruppo di amici della comunità di Andromeda che arrivando a piedi da Torino si avvicinano alla Sacra di San Michele. Puoi descrivere cosa vediamo lungo la strada e darci le necessarie indicazioni per arrivare alla Sacra "
},
{
"role": "... | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | language_mixing_hs3 | You will be given one or more evaluation criteria (rubrics).
Evaluate both responses using ONLY these criteria (do not introduce new ones).
If multiple criteria are provided, consider each criterion and then make an overall judgment.
Criteria:
1. The response must be in the expected/required language(s) given the task... | null | italian | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "user",
"content": "Write me 50 different and unique prompts all within the fantasy or science fiction genres to write prompts book for teens to sell in amazon kdp"
},
{
"role": "assistant",
"content": "1. A young sorcerer discovers an ancient spellbook that... | {
"type": "responses_api_agents",
"name": "genrm_simple_agent"
} | hs3 | null | null | null | null | null | null | null | null | null | null | null |
{
"input": [
{
"role": "system",
"content": "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- Mak... | {
"type": "responses_api_agents",
"name": "single_step_tool_use_with_argument_comparison_agent"
} | super_v3_lcsft_step1000_tau_pivot | null | {
"type": "message",
"content": "Hello! I'm sorry to hear about the damage to your collectible items. I can help you initiate a claim process.\n\nFirst, I need to verify your identity to access order #ORD-88006. According to our policy, I'll need the last 4 digits of the payment card used for this order to authenti... | null | 106,288 | null | 0 | {
"turn": 1,
"step": 0,
"assistant_depth": 0
} | {
"rewards": [
0
],
"reward_mean": 0,
"reward_std": 0,
"reward_var": 0
} | 0.125 | 8 | 1 |
End of preview.
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