conversations listlengths 2 380 | agent stringclasses 1
value | model stringclasses 1
value | model_provider stringclasses 1
value | date stringlengths 27 27 | task stringlengths 23 23 | episode stringclasses 51
values | run_id stringclasses 1
value | trial_name stringlengths 32 32 | result stringclasses 4
values | instruction stringlengths 5 1.24k ⌀ | verifier_output stringlengths 79 6.09M | prompt_token_ids listlengths 0 193 | completion_token_ids listlengths 0 193 | logprobs listlengths 0 193 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[{"content":"","role":"user"},{"content":"<think>I need to read the related files to understand the (...TRUNCATED) | opencode | vllm/1093664834945296 | vllm | 2026-07-14T13:27:49.420113Z | mix-h4-binary-easy-1765 | episode-5 | fa0fab45-7ba9-4be9-8ffb-94e3b59bb20c | mix-h4-binary-easy-1765__sjwoNr8 | 0.0 | "Based on the code completion task, I need to complete the `_update_model` method. Looking at the pa(...TRUNCATED) | "Running CrossCodeEval tests (python)...\n/tests/test.sh: line 21: 5590 Killed pip(...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) | [[40,1144,310,1301,279,5265,3425,310,3418,279,1970,3051,5759,321,1204,310,4434,279,6907,1970,13,198,(...TRUNCATED) | [[-0.0148623026907444,-0.00003766935333260335,-9.536715310787258e-7,-1.715212106704712,-0.0135251758(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>I need to implement a function that calculates mini(...TRUNCATED) | opencode | vllm/1093664834945296 | vllm | 2026-07-14T13:09:57.305585Z | mix-h4-binary-easy-1829 | episode-6 | fa0fab45-7ba9-4be9-8ffb-94e3b59bb20c | mix-h4-binary-easy-1829__hsnao6V | 0.0 | "I see the issue - my expected values in the test were incorrect. Let me verify the logic and fix th(...TRUNCATED) | "Running tests...\n/tests/test.sh: line 30: 2446 Killed pip install --quiet \"$pkg(...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) | [[40,1144,310,4072,264,709,421,45838,7776,7289,310,7698,1330,24959,310,6942,11,1332,1754,5488,5954,1(...TRUNCATED) | [[-1.0226848125457764,-0.00008928359602577984,-8.344631510226463e-7,-0.0958167091012001,-0.102826409(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>The user wants me to implement an `imx.img` module (...TRUNCATED) | opencode | vllm/1093664834945296 | vllm | 2026-07-14T19:53:11.500797Z | mix-h4-binary-easy-0704 | episode-7 | fa0fab45-7ba9-4be9-8ffb-94e3b59bb20c | mix-h4-binary-easy-0704__X3eXXet | 1.0 | "I'll implement the imx imaging commands module as a Python package. Let me create the required stru(...TRUNCATED) | "Creating virtual environment...\nInstalling pytest...\nRunning pytest...\n=========================(...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) | [[760,1156,6587,728,310,4072,449,1510,316,87,14888,63,4536,421,5529,5090,3108,6632,321,68323,364,449(...TRUNCATED) | [[-0.47430330514907837,-0.003234749659895897,-0.0007444220827892423,-0.00002336468969588168,-2.38418(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>The user wants me to implement a simple voting syst(...TRUNCATED) | opencode | vllm/1093664834945296 | vllm | 2026-07-14T16:51:35.134085Z | mix-h4-binary-easy-1231 | episode-3 | fa0fab45-7ba9-4be9-8ffb-94e3b59bb20c | mix-h4-binary-easy-1231__cQ9ANu5 | 0.0 | "The voting system has been implemented in `/app/voting_system.py` with all required functionality:\(...TRUNCATED) | "Running tests...\n/tests/test.sh: line 21: 1489 Killed pip install --quiet \"$pkg(...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) | [[760,1156,6587,728,310,4072,264,4145,15209,1785,303,12654,13,6558,728,1387,1441,279,8242,25,271,16,(...TRUNCATED) | [[-0.02780090644955635,-0.0009155836887657642,-0.00017236154235433787,-4.7683607817816664e-7,0.0,-0.(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>The user wants me to implement a Python module `sxm(...TRUNCATED) | opencode | vllm/1093664834945296 | vllm | 2026-07-14T20:37:41.606083Z | mix-h4-binary-easy-0594 | episode-11 | fa0fab45-7ba9-4be9-8ffb-94e3b59bb20c | mix-h4-binary-easy-0594__dxFuDwp | 0.0 | "I'll start by exploring the test file to understand the exact requirements and then implement the m(...TRUNCATED) | "Creating virtual environment...\nInstalling pytest...\nInstalling dependencies: freezegun...\nRunni(...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) | [[760,1156,6587,728,310,4072,264,12654,4536,1510,82,6253,6971,63,440,449,1510,13198,33509,63,523,13,(...TRUNCATED) | [[-0.5828721523284912,-0.006164939142763615,-0.0027727747801691294,-8.463806807412766e-6,0.0,-0.0011(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>I need to read the related files to understand the (...TRUNCATED) | opencode | vllm/1093664834945296 | vllm | 2026-07-14T21:41:47.937475Z | mix-h4-binary-easy-0439 | episode-4 | fa0fab45-7ba9-4be9-8ffb-94e3b59bb20c | mix-h4-binary-easy-0439__udhN2yC | 0.0 | "Based on the code context, I need to complete the `extract_nmr_embbeddings` method. Looking at the (...TRUNCATED) | "Running CrossCodeEval tests (python)...\n/tests/test.sh: line 21: 1657 Killed pip(...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) | [[40,1144,310,1301,279,5265,3425,310,3418,279,5486,6794,45938,1558,5759,321,279,2706,28718,709,310,4(...TRUNCATED) | [[-0.05886222794651985,-0.00004637123493012041,-6.079639661038527e-6,-1.1581238508224487,-0.05268024(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>Let me understand the task:\n\n1. I need to impleme(...TRUNCATED) | opencode | vllm/1093664834945296 | vllm | 2026-07-14T13:31:48.569863Z | mix-h4-binary-easy-1749 | episode-1 | fa0fab45-7ba9-4be9-8ffb-94e3b59bb20c | mix-h4-binary-easy-1749__ZCVEGDj | 1.0 | I'll implement the `beautiful_pairs` function based on the requirements. | "Running tests...\n/tests/test.sh: line 30: 1550 Killed pip install --quiet \"$pkg(...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) | [[9764,728,3418,279,3274,25,271,16,13,353,1144,310,4072,1510,83944,35226,4205,11,417,44646,709,198,1(...TRUNCATED) | [[-1.2158641815185547,0.0,-0.34210723638534546,-0.020627282559871674,-0.9066054224967957,-0.01938366(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>The user wants me to implement a User Authenticatio(...TRUNCATED) | opencode | vllm/1093664834945296 | vllm | 2026-07-14T21:55:52.805084Z | mix-h4-binary-easy-0401 | episode-2 | fa0fab45-7ba9-4be9-8ffb-94e3b59bb20c | mix-h4-binary-easy-0401__MJeWZkL | 0.0 | "Done. The user authentication system has been implemented in `/app/auth.py` with:\n\n- `register(us(...TRUNCATED) | "Running tests...\n/tests/test.sh: line 21: 1478 Killed pip install --quiet \"$pkg(...TRUNCATED) | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[760,1156,6587,728,310,4072,264,2570,22802,1785,303,36066,658,16858,6971,27653,6558,728,1118,1716,4(...TRUNCATED) | [[-0.00625628000125289,-0.00043871236266568303,-0.00046647581621073186,-2.3841803908908332e-7,0.0,-0(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>I need to explore the codebase to understand the An(...TRUNCATED) | opencode | vllm/1093664834945296 | vllm | 2026-07-14T21:56:18.234888Z | mix-h4-binary-easy-0399 | episode-8 | fa0fab45-7ba9-4be9-8ffb-94e3b59bb20c | mix-h4-binary-easy-0399__vqv3Jr9 | 0.0 | "Based on the code provided, I can see the task is to complete a CoreML text generation script. The (...TRUNCATED) | "Running CrossCodeEval tests (python)...\n/tests/test.sh: line 21: 3594 Killed pip(...TRUNCATED) | [[248045,8678,198,2,13455,271,2523,599,2528,310,279,2614,5568,25,271,27,15449,29,198,4754,1267,763,3(...TRUNCATED) | [[40,1144,310,12804,279,1970,3051,310,3418,279,357,785,38,2737,523,321,1141,5245,310,4434,279,1970,9(...TRUNCATED) | [[-0.022894233465194702,-0.000016450703697046265,-8.344631510226463e-7,-1.3408520221710205,-0.001007(...TRUNCATED) |
[{"content":"","role":"user"},{"content":"<think>The user wants me to implement a Library class with(...TRUNCATED) | opencode | vllm/1093664834945296 | vllm | 2026-07-14T19:40:45.314137Z | mix-h4-binary-easy-0750 | episode-4 | fa0fab45-7ba9-4be9-8ffb-94e3b59bb20c | mix-h4-binary-easy-0750__8YUeuvS | 0.0 | I'll create the `Library` class with all the required methods. | "Running tests...\n/tests/test.sh: line 21: 1456 Killed pip install --quiet \"$pkg(...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) | [[760,1156,6587,728,310,4072,264,11300,523,440,5245,364,17610,6265,13,6558,728,1118,1716,413,1017,57(...TRUNCATED) | [[-1.5126500129699707,-0.026453128084540367,-0.004411485977470875,-0.0002461363619659096,-1.07288053(...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: 1093664834945296
See tokenizer_provenance.json for a machine-readable version.
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