conversations listlengths 2 91 | agent stringclasses 1
value | model stringclasses 1
value | model_provider stringclasses 1
value | date stringlengths 27 27 | task stringlengths 22 22 | episode stringclasses 33
values | run_id stringclasses 1
value | trial_name stringlengths 31 31 | result stringclasses 3
values | instruction stringlengths 10 992 ⌀ | verifier_output stringlengths 112 38.4k | prompt_token_ids listlengths 0 46 | completion_token_ids listlengths 0 46 | logprobs listlengths 0 46 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[{"content":"","role":"user"},{"content":"<think>The user wants me to implement a header-only C++ li(...TRUNCATED) | opencode | vllm/1256362466160590 | vllm | 2026-07-27T11:47:44.420053Z | nemotron-cpp-v2-003541 | episode-4 | 31b81a3b-2a7a-4d27-b493-69500e383c99 | nemotron-cpp-v2-003541__XcQsX9d | 0.0 | "I'll implement this header-only C++ library for Baidu automation. Let me first check the test file (...TRUNCATED) | "Compiling tests against agent solution in /app ...\nCOMPILE FAILED -> reward 0\nIn file included fr(...TRUNCATED) | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[760,1156,6587,728,310,4072,264,4108,14934,351,992,6522,364,417,34615,31579,13,6558,728,1118,1716,4(...TRUNCATED) | [[-0.21784569323062897,-0.0009453585953451693,-0.0055498587898910046,-0.00005471545591717586,-1.1920(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>The user wants me to implement a C++ header-only so(...TRUNCATED) | opencode | vllm/1256362466160590 | vllm | 2026-07-27T11:15:20.431165Z | nemotron-cpp-v2-004179 | episode-7 | 31b81a3b-2a7a-4d27-b493-69500e383c99 | nemotron-cpp-v2-004179__RvCZhTR | 0.0 | "I'll implement the TflUrlHelper class with the specified interface. Let me create the header and so(...TRUNCATED) | "Compiling tests against agent solution in /app ...\nCOMPILE FAILED -> reward 0\n/tests/test_solutio(...TRUNCATED) | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[760,1156,6587,728,310,4072,264,351,992,4108,14934,6093,364,345,1435,2771,5338,523,13,6558,728,1387(...TRUNCATED) | [[-0.31213128566741943,-0.005340359173715115,-0.015938038006424904,-0.00017748661048244685,-9.536715(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>The user wants me to implement a C++ Twitterer util(...TRUNCATED) | opencode | vllm/1256362466160590 | vllm | 2026-07-27T12:23:37.554453Z | nemotron-cpp-v2-002745 | episode-4 | 31b81a3b-2a7a-4d27-b493-69500e383c99 | nemotron-cpp-v2-002745__EogPGPF | 0.0 | "I'll implement the Twitterer utility. Let me first check the test file to understand the exact requ(...TRUNCATED) | "Compiling tests against agent solution in /app ...\nCOMPILE FAILED -> reward 0\nIn file included fr(...TRUNCATED) | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[760,1156,6587,728,310,4072,264,351,992,6074,261,15092,421,25419,11470,2984,318,16,19,15,3542,3798,(...TRUNCATED) | [[-0.25750231742858887,-0.0013407999649643898,-0.0029987359885126352,-7.390935024886858e-6,-1.192090(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>Let me analyze this task carefully:\n\n1. I need to(...TRUNCATED) | opencode | vllm/1256362466160590 | vllm | 2026-07-27T11:20:29.121649Z | nemotron-cpp-v2-004085 | episode-9 | 31b81a3b-2a7a-4d27-b493-69500e383c99 | nemotron-cpp-v2-004085__SvjtJ2e | 0.0 | "I'll implement this C++ logging framework. Let me first check the existing structure and test file (...TRUNCATED) | "Compiling tests against agent solution in /app ...\nCOMPILE FAILED -> reward 0\n/tests/test_solutio(...TRUNCATED) | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[9764,728,22903,411,3274,15060,25,271,16,13,353,1144,310,4072,264,4108,14934,351,992,8132,12263,506(...TRUNCATED) | [[-1.0779547691345215,-8.344631510226463e-7,-0.9469594955444336,-0.058021750301122665,-0.07100771367(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>The user wants me to implement a header-only C++ CR(...TRUNCATED) | opencode | vllm/1256362466160590 | vllm | 2026-07-27T10:45:50.255180Z | nemotron-cpp-v2-004869 | episode-5 | 31b81a3b-2a7a-4d27-b493-69500e383c99 | nemotron-cpp-v2-004869__nG8qbiH | 0.0 | "The test file doesn't exist yet, but I have the full specification. I'll implement the header-only (...TRUNCATED) | "Compiling tests against agent solution in /app ...\nCOMPILE FAILED -> reward 0\nIn file included fr(...TRUNCATED) | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[760,1156,6587,728,310,4072,264,4108,14934,351,992,61967,2393,364,6265,13,6558,728,1118,1716,413,10(...TRUNCATED) | [[-0.2778761386871338,-0.002506804885342717,-0.003832374233752489,-0.000019192462787032127,-1.192090(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>Let me analyze this task carefully. The user wants (...TRUNCATED) | opencode | vllm/1256362466160590 | vllm | 2026-07-27T11:40:21.643278Z | nemotron-cpp-v2-003662 | episode-16 | 31b81a3b-2a7a-4d27-b493-69500e383c99 | nemotron-cpp-v2-003662__PuAv9mb | 0.0 | "The test file doesn't exist yet. I'll implement the header-only solution at `/app/helpdesk_api.h` b(...TRUNCATED) | "Compiling tests against agent solution in /app ...\nCOMPILE FAILED -> reward 0\nIn file included fr(...TRUNCATED) | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[9764,728,22903,411,3274,15060,13,561,1156,6587,728,310,4072,264,351,992,4108,14934,1438,48384,5165(...TRUNCATED) | [[-0.6606686115264893,-1.1920894849026809e-6,-1.1975364685058594,-0.12929117679595947,-0.03627554327(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>The user wants me to implement a header-only C++ so(...TRUNCATED) | opencode | vllm/1256362466160590 | vllm | 2026-07-27T10:50:43.962594Z | nemotron-cpp-v2-004771 | episode-9 | 31b81a3b-2a7a-4d27-b493-69500e383c99 | nemotron-cpp-v2-004771__gKJSKEF | 0.0 | "The test file doesn't exist yet. I'll implement the header-only solution based on the requirements (...TRUNCATED) | "Compiling tests against agent solution in /app ...\nCOMPILE FAILED -> reward 0\n/tests/test_solutio(...TRUNCATED) | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[760,1156,6587,728,310,4072,264,4108,14934,351,992,6093,364,264,443,6540,1652,2255,523,13,6558,728,(...TRUNCATED) | [[-0.39267808198928833,-0.004317248705774546,-0.00379698583856225,-0.000028728954930556938,-3.576270(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>The user wants me to implement a header-only C++ so(...TRUNCATED) | opencode | vllm/1256362466160590 | vllm | 2026-07-27T13:39:19.914976Z | nemotron-cpp-v2-000908 | episode-9 | 31b81a3b-2a7a-4d27-b493-69500e383c99 | nemotron-cpp-v2-000908__YX2pLPE | 0.0 | I'll implement this C++ domain model. Let me first check the existing structure and the test file. | "Compiling tests against agent solution in /app ...\nCOMPILE FAILED -> reward 0\n/tests/test_solutio(...TRUNCATED) | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[760,1156,6587,728,310,4072,264,4108,14934,351,992,6093,506,36066,658,19652,6251,27653,6558,728,111(...TRUNCATED) | [[-0.34197282791137695,-0.0018058185232803226,-0.01870879717171192,-0.00006985403888393193,-2.384180(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>The user wants me to implement a C++ header-only li(...TRUNCATED) | opencode | vllm/1256362466160590 | vllm | 2026-07-27T11:40:43.633796Z | nemotron-cpp-v2-003624 | episode-4 | 31b81a3b-2a7a-4d27-b493-69500e383c99 | nemotron-cpp-v2-003624__9oxqMUo | AgentTimeoutError | "I'll implement the C++ action-translation library. Let me first check the existing test file to und(...TRUNCATED) | "Compiling tests against agent solution in /app ...\nCOMPILE FAILED -> reward 0\n/tests/test_solutio(...TRUNCATED) | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[760,1156,6587,728,310,4072,264,351,992,4108,14934,6522,364,1852,14053,13,6558,728,1387,1441,279,82(...TRUNCATED) | [[-0.27695515751838684,-0.005362055730074644,-0.016539620235562325,-0.000050424147048033774,-5.96045(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>The user wants me to implement a simple C++ header-(...TRUNCATED) | opencode | vllm/1256362466160590 | vllm | 2026-07-27T13:29:11.471283Z | nemotron-cpp-v2-001103 | episode-7 | 31b81a3b-2a7a-4d27-b493-69500e383c99 | nemotron-cpp-v2-001103__BMDv5KJ | 0.0 | "Based on the requirements, I'll create the header-only C++ solution with the `AnonymousSurvey` clas(...TRUNCATED) | "Compiling tests against agent solution in /app ...\nCOMPILE FAILED -> reward 0\nIn file included fr(...TRUNCATED) | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[760,1156,6587,728,310,4072,264,4145,351,992,4108,14934,6093,364,449,29447,65719,523,13,6558,728,11(...TRUNCATED) | [[-0.349324494600296,-0.002305113011971116,-0.004063088446855545,-0.00017939356621354818,-5.96045083(...TRUNCATED) |
End of preview. Expand in Data Studio
Agent trace dataset
Decoding the literal token IDs
The prompt_token_ids / completion_token_ids / logprobs columns are the
verbatim tokens the serving engine emitted, stored PER AGENT STEP as a
list-of-lists (one inner list per turn). To turn them back into text you MUST
use the exact tokenizer the model was served with — a generic same-family
tokenizer will decode word tokens to garbage.
Served model / tokenizer source: Qwen/Qwen3.5-122B-A10B-FP8
from transformers import AutoTokenizer
# Use the served model's own tokenizer (pull from the ref above; if it is a
# gs:// mirror, copy tokenizer.json/tokenizer_config.json/vocab.json/merges.txt
# locally first and point AutoTokenizer at that dir).
tok = AutoTokenizer.from_pretrained("Qwen/Qwen3.5-122B-A10B-FP8")
# token_ids are list-of-lists (one list per turn) — decode each turn:
text = [tok.decode(turn, skip_special_tokens=False) for turn in completion_token_ids]
Engine-reported served model name: 1256362466160590
See tokenizer_provenance.json for a machine-readable version.
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