api_calls_json stringlengths 24.7k 1.22M | category stringclasses 7
values | completed_at stringlengths 32 32 | context_json stringlengths 2 222 | decision_example_count int64 1 5 | family_id stringclasses 112
values | final_answer stringlengths 51 911 ⌀ | final_workspace_files_json stringlengths 4 1.24k | messages_json stringlengths 755 20.7k | model_settings_json stringclasses 4
values | prompt stringlengths 138 366 | split stringclasses 1
value | started_at stringlengths 32 32 | task_hash stringlengths 64 64 | task_id stringlengths 11 22 | termination stringclasses 1
value | timing_json stringlengths 82 109 | token_usage_json stringlengths 133 143 | tool_definitions_json stringclasses 4
values | tool_events_json stringlengths 2 4.03k | trace_id stringlengths 11 22 | verification_json stringlengths 137 5.24k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[{"attempt":1,"completed_at":"2026-10-05T06:04:59.350737+00:00","elapsed_seconds":5.262603166978806,"http_status":200,"request":{"max_tokens":2048,"messages":[{"content":"You are completing a task for an execution-trace dataset. Follow the supplied task and output format. Use only supplied facts for factual claims. Use... | clarification | 2026-10-05T06:04:59.366851+00:00 | {} | 2 | clarification/currency |
{
"action": "clarify",
"missing_field": "target_currency",
"question": "What is the target currency for Project Juniper 109 that 228 USD should be converted to?"
} | null | [{"content":"You are completing a task for an execution-trace dataset. Follow the supplied task and output format. Use only supplied facts for factual claims. Use available tools when required. Treat tool outputs as observations, follow the explicit retry policy, and ask for necessary missing information. Complete ordi... | {"max_tokens":2048,"model":"qwen3.8-27b","stream":true,"temperature":0.3,"thinking":"provider_default","top_p":0.9} | Convert 228 from USD to the other currency for Project Juniper 109. A necessary detail is missing: ask one specific clarification question instead of inventing it. Return JSON with "action": "clarify" and "missing_field" naming that detail, plus "question". | train | 2026-10-05T06:04:54.088193+00:00 | f28543cd05025627b3cd1dcaf51a45171d18425ceb4bc08e9f99057f0b093ae4 | clarification-00000 | completed | {"api_seconds":5.262603166978806,"elapsed_seconds":5.278744250070304,"tool_seconds":0} | {"cached_prompt_tokens":0,"completion_tokens":191,"prompt_tokens":169,"reasoning_tokens":136,"total_tokens":360,"usage_complete":true} | [] | [] | clarification-00000 | {"checks":{"clarification_action":true,"question_present":true,"supported_missing_field_alias":true,"valid_json_object":true},"method":"explicit_missing_information_schema_with_field_aliases; question_semantics_not_fully_verified","status":"verified","task_success":true} |
[{"attempt":1,"completed_at":"2026-10-05T06:05:00.530860+00:00","elapsed_seconds":6.440781916026026,"http_status":200,"request":{"max_tokens":2048,"messages":[{"content":"You are completing a task for an execution-trace dataset. Follow the supplied task and output format. Use only supplied facts for factual claims. Use... | clarification | 2026-10-05T06:05:00.536641+00:00 | {} | 2 | clarification/timezone |
{
"action": "clarify",
"missing_field": "local_timezone",
"question": "What is your local timezone (e.g., UTC-5, America/New_York, or a specific city) so I can convert 10:00 on 2026-01-19 to UTC?"
} | null | [{"content":"You are completing a task for an execution-trace dataset. Follow the supplied task and output format. Use only supplied facts for factual claims. Use available tools when required. Treat tool outputs as observations, follow the explicit retry policy, and ask for necessary missing information. Complete ordi... | {"max_tokens":2048,"model":"qwen3.8-27b","stream":true,"temperature":0.3,"thinking":"provider_default","top_p":0.9} | Schedule Project Aurora 2453 for 10:00 on 2026-01-19, converting my local time to UTC. A necessary detail is missing: ask one specific clarification question instead of inventing it. Return JSON with "action": "clarify" and "missing_field" naming that detail, plus "question". | train | 2026-10-05T06:04:54.090164+00:00 | f934b6b1e3aecf8f2e6cdac809ff25f69f5d565e79db294cd38103293bf166c1 | clarification-00001 | completed | {"api_seconds":6.440781916026026,"elapsed_seconds":6.446585917030461,"tool_seconds":0} | {"cached_prompt_tokens":0,"completion_tokens":246,"prompt_tokens":184,"reasoning_tokens":167,"total_tokens":430,"usage_complete":true} | [] | [] | clarification-00001 | {"checks":{"clarification_action":true,"question_present":true,"supported_missing_field_alias":true,"valid_json_object":true},"method":"explicit_missing_information_schema_with_field_aliases; question_semantics_not_fully_verified","status":"verified","task_success":true} |
"[{\"attempt\":1,\"completed_at\":\"2026-10-05T06:05:10.369171+00:00\",\"elapsed_seconds\":16.277166(...TRUNCATED) | clarification | 2026-10-05T06:05:10.387316+00:00 | {} | 1 | clarification/date | "\n\n{\n \"action\": \"clarify\",\n \"missing_field\": \"time\",\n \"question\": \"What time on n(...TRUNCATED) | null | "[{\"content\":\"You are completing a task for an execution-trace dataset. Follow the supplied task (...TRUNCATED) | "{\"max_tokens\":2048,\"model\":\"qwen3.8-27b\",\"stream\":true,\"temperature\":0.3,\"thinking\":\"p(...TRUNCATED) | "Book the Project Quartz 7070 workshop for next Friday. A necessary detail is missing: ask one speci(...TRUNCATED) | train | 2026-10-05T06:04:54.092261+00:00 | 6c58646fc6c2c4d44b7d56dfc0d488bb0979b643806141ce00003134f6ce1efe | clarification-00002 | completed | {"api_seconds":16.277166791027412,"elapsed_seconds":16.295334749971516,"tool_seconds":0} | "{\"cached_prompt_tokens\":0,\"completion_tokens\":689,\"prompt_tokens\":163,\"reasoning_tokens\":64(...TRUNCATED) | [] | [] | clarification-00002 | "{\"checks\":{\"clarification_action\":true,\"question_present\":true,\"supported_missing_field_alia(...TRUNCATED) |
"[{\"attempt\":1,\"completed_at\":\"2026-10-05T06:05:01.107223+00:00\",\"elapsed_seconds\":7.0131280(...TRUNCATED) | clarification | 2026-10-05T06:05:01.116237+00:00 | {} | 2 | clarification/destination | "\n\n{\n \"action\": \"clarify\",\n \"missing_field\": \"destination\",\n \"question\": \"What is(...TRUNCATED) | null | "[{\"content\":\"You are completing a task for an execution-trace dataset. Follow the supplied task (...TRUNCATED) | "{\"max_tokens\":2048,\"model\":\"qwen3.8-27b\",\"stream\":true,\"temperature\":0.3,\"thinking\":\"p(...TRUNCATED) | "Find travel options from Sydney for Project Cedar 3208. A necessary detail is missing: ask one spec(...TRUNCATED) | train | 2026-10-05T06:04:54.094189+00:00 | 9ed56ffc0a8289f06f73d84b35edae55b89e2c9d8a85e84f9db99473848c77cb | clarification-00003 | completed | {"api_seconds":7.01312808401417,"elapsed_seconds":7.022165665985085,"tool_seconds":0} | "{\"cached_prompt_tokens\":0,\"completion_tokens\":267,\"prompt_tokens\":163,\"reasoning_tokens\":21(...TRUNCATED) | [] | [] | clarification-00003 | "{\"checks\":{\"clarification_action\":true,\"question_present\":true,\"supported_missing_field_alia(...TRUNCATED) |
"[{\"attempt\":1,\"completed_at\":\"2026-10-05T06:05:04.065370+00:00\",\"elapsed_seconds\":4.3886723(...TRUNCATED) | clarification | 2026-10-05T06:05:04.083543+00:00 | {} | 2 | clarification/quantity | "\n\n{\n \"action\": \"clarify\",\n \"missing_field\": \"quantity\",\n \"question\": \"What is th(...TRUNCATED) | null | "[{\"content\":\"You are completing a task for an execution-trace dataset. Follow the supplied task (...TRUNCATED) | "{\"max_tokens\":2048,\"model\":\"qwen3.8-27b\",\"stream\":true,\"temperature\":0.3,\"thinking\":\"p(...TRUNCATED) | "Calculate the total for Project Cedar 1442 at 74 per unit. A necessary detail is missing: ask one s(...TRUNCATED) | train | 2026-10-05T06:04:59.676713+00:00 | 4c1512237fad293ab9b8cd3ca13f13c965e0b7b89181bb5d8a2141919f31ce9a | clarification-00004 | completed | {"api_seconds":4.388672333909199,"elapsed_seconds":4.406902333023027,"tool_seconds":0} | "{\"cached_prompt_tokens\":0,\"completion_tokens\":179,\"prompt_tokens\":167,\"reasoning_tokens\":11(...TRUNCATED) | [] | [] | clarification-00004 | "{\"checks\":{\"clarification_action\":true,\"question_present\":true,\"supported_missing_field_alia(...TRUNCATED) |
"[{\"attempt\":1,\"completed_at\":\"2026-10-05T06:05:05.769020+00:00\",\"elapsed_seconds\":4.9480096(...TRUNCATED) | clarification | 2026-10-05T06:05:05.777719+00:00 | {} | 2 | clarification/recipient | "\n\n{\n \"action\": \"clarify\",\n \"missing_field\": \"recipient_name\",\n \"question\": \"What(...TRUNCATED) | null | "[{\"content\":\"You are completing a task for an execution-trace dataset. Follow the supplied task (...TRUNCATED) | "{\"max_tokens\":2048,\"model\":\"qwen3.8-27b\",\"stream\":true,\"temperature\":0.3,\"thinking\":\"p(...TRUNCATED) | "Draft a personalised invitation for Project Juniper 5508, using the recipient’s name. A necessary(...TRUNCATED) | train | 2026-10-05T06:05:00.821039+00:00 | 6f9b4c8ff2a0848499987788ee2f5098c7f51012a66527a34239b085b1875abd | clarification-00005 | completed | {"api_seconds":4.948009624960832,"elapsed_seconds":4.956756500061601,"tool_seconds":0} | "{\"cached_prompt_tokens\":0,\"completion_tokens\":209,\"prompt_tokens\":169,\"reasoning_tokens\":15(...TRUNCATED) | [] | [] | clarification-00005 | "{\"checks\":{\"clarification_action\":true,\"question_present\":true,\"supported_missing_field_alia(...TRUNCATED) |
"[{\"attempt\":1,\"completed_at\":\"2026-10-05T06:05:10.264357+00:00\",\"elapsed_seconds\":6.1764711(...TRUNCATED) | clarification | 2026-10-05T06:05:10.287893+00:00 | {} | 2 | clarification/format | "\n\n{\n \"action\": \"clarify\",\n \"missing_field\": \"target_file_format\",\n \"question\": \"(...TRUNCATED) | null | "[{\"content\":\"You are completing a task for an execution-trace dataset. Follow the supplied task (...TRUNCATED) | "{\"max_tokens\":2048,\"model\":\"qwen3.8-27b\",\"stream\":true,\"temperature\":0.3,\"thinking\":\"p(...TRUNCATED) | "Export the Project Aurora 1220 record to my required file format. A necessary detail is missing: as(...TRUNCATED) | train | 2026-10-05T06:05:04.087933+00:00 | 914421da43e1f7971bd88d984698df52302e936f4a1a7be380dcf719bfd9686a | clarification-00006 | completed | {"api_seconds":6.1764711670111865,"elapsed_seconds":6.200064167031087,"tool_seconds":0} | "{\"cached_prompt_tokens\":0,\"completion_tokens\":274,\"prompt_tokens\":165,\"reasoning_tokens\":20(...TRUNCATED) | [] | [] | clarification-00006 | "{\"checks\":{\"clarification_action\":true,\"question_present\":true,\"supported_missing_field_alia(...TRUNCATED) |
"[{\"attempt\":1,\"completed_at\":\"2026-10-05T06:05:16.797339+00:00\",\"elapsed_seconds\":9.3862932(...TRUNCATED) | clarification | 2026-10-05T06:05:16.816044+00:00 | {} | 2 | clarification/record_id | "\n\n{\n \"action\": \"clarify\",\n \"missing_field\": \"order_number\",\n \"question\": \"What i(...TRUNCATED) | null | "[{\"content\":\"You are completing a task for an execution-trace dataset. Follow the supplied task (...TRUNCATED) | "{\"max_tokens\":2048,\"model\":\"qwen3.8-27b\",\"stream\":true,\"temperature\":0.3,\"thinking\":\"p(...TRUNCATED) | "Get the current status of my Project Juniper 864 order. A necessary detail is missing: ask one spec(...TRUNCATED) | train | 2026-10-05T06:05:07.411022+00:00 | e74dec5595d4f8adb89f755c118c79feaac364792d61bfdde9b387b3e851ca1f | clarification-00007 | completed | {"api_seconds":9.386293250019662,"elapsed_seconds":9.405182166025043,"tool_seconds":0} | "{\"cached_prompt_tokens\":0,\"completion_tokens\":419,\"prompt_tokens\":164,\"reasoning_tokens\":35(...TRUNCATED) | [] | [] | clarification-00007 | "{\"checks\":{\"clarification_action\":true,\"question_present\":true,\"supported_missing_field_alia(...TRUNCATED) |
"[{\"attempt\":1,\"completed_at\":\"2026-10-05T06:05:15.811570+00:00\",\"elapsed_seconds\":5.4102726(...TRUNCATED) | clarification | 2026-10-05T06:05:15.823094+00:00 | {} | 2 | clarification/unit | "\n\n{\n \"action\": \"clarify\",\n \"missing_field\": \"source_unit\",\n \"question\": \"What un(...TRUNCATED) | null | "[{\"content\":\"You are completing a task for an execution-trace dataset. Follow the supplied task (...TRUNCATED) | "{\"max_tokens\":2048,\"model\":\"qwen3.8-27b\",\"stream\":true,\"temperature\":0.3,\"thinking\":\"p(...TRUNCATED) | "Convert the measurement 266 for Project Cedar 3117 to metres. A necessary detail is missing: ask on(...TRUNCATED) | train | 2026-10-05T06:05:10.401298+00:00 | d6a35ee4042db010a73f04e787b8b6acc267f6a10711dbff6aa4c338a73c8d31 | clarification-00008 | completed | {"api_seconds":5.41027262492571,"elapsed_seconds":5.421889750054106,"tool_seconds":0} | "{\"cached_prompt_tokens\":0,\"completion_tokens\":231,\"prompt_tokens\":167,\"reasoning_tokens\":16(...TRUNCATED) | [] | [] | clarification-00008 | "{\"checks\":{\"clarification_action\":true,\"question_present\":true,\"supported_missing_field_alia(...TRUNCATED) |
"[{\"attempt\":1,\"completed_at\":\"2026-10-05T06:05:18.240497+00:00\",\"elapsed_seconds\":5.0251041(...TRUNCATED) | clarification | 2026-10-05T06:05:18.256591+00:00 | {} | 2 | clarification/time | "\n\n{\n \"action\": \"clarify\",\n \"missing_field\": \"preferred_time\",\n \"question\": \"What(...TRUNCATED) | null | "[{\"content\":\"You are completing a task for an execution-trace dataset. Follow the supplied task (...TRUNCATED) | "{\"max_tokens\":2048,\"model\":\"qwen3.8-27b\",\"stream\":true,\"temperature\":0.3,\"thinking\":\"p(...TRUNCATED) | "Schedule Project Quartz 9102 on 2026-07-17 at my preferred time. A necessary detail is missing: ask(...TRUNCATED) | train | 2026-10-05T06:05:13.215397+00:00 | 5a8304d1808f2b288b696547a1af410b294833c2bc77f321a5ccbaf741d3fec8 | clarification-00009 | completed | {"api_seconds":5.02510416705627,"elapsed_seconds":5.041277499985881,"tool_seconds":0} | "{\"cached_prompt_tokens\":0,\"completion_tokens\":216,\"prompt_tokens\":174,\"reasoning_tokens\":15(...TRUNCATED) | [] | [] | clarification-00009 | "{\"checks\":{\"clarification_action\":true,\"question_present\":true,\"supported_missing_field_alia(...TRUNCATED) |
Zeus Qwen execution dataset
Exactly 30,000 unique solver-input traces generated through the user-provided Qwen3.8-27B API. The endpoint reports this model ID; weights were not independently inspected. Thirty concurrent API workers were requested, with fallback to twenty after repeated overload errors.
Categories: {"clarification":2000,"coding":6000,"documents":5000,"failure_recovery":2000,"maths":6000,"tool_use":4000,"writing":5000}.
Contents
traces: stable-schema trace records; structured fields are lossless JSON strings.raw_traces: full nested trace records for direct JSONL use.api_calls: durable API attempts, including retries and interrupted attempts.laya_decisions: question/options with supported labels and prefix-only inputs.ordinary_responses: original final responses with context and verification eligibility.task_manifest.jsonl.gz: task provenance, fixtures, and private grader references.split_manifest.json: task families assigned wholly to a split.verification_report.json: observed checks, failures, limitations, and token accounting.
Input boundaries
For decision adaptation use only input_json as input and target_json as target. Never feed verification, evidence, hidden test cases, later messages, or manifest references into a model. Related task families are kept in one split; parameter variations are not independent tasks for evaluation purposes.
Verification and limitations
Coding is executed in a restricted subprocess and checked with held-out tests. Mathematical numeric answers use independent reference computations; explanation presence is checked, while explanation semantics are unreviewed. Clarification checks cover structured field aliases and question presence, while full question semantics are unreviewed. Document extraction and database workflows are checked against controlled fixtures and explicit policies. These fixtures establish truth within the supplied synthetic environment. Writing schema, required values, and word counts are checked, but full prose semantics are unreviewed. Failures and uncertain outputs remain labeled; they are not automatically positive imitation examples. The original collection did not include semantic review; the correction revision includes scoped review documented below.
Timing and cost
Token usage includes reasoning and repeated prompts. Dollar cost is unknown because the custom provider supplied no billing rates or cost totals. API timing reflects actual calls and tools. Credentials and Authorization headers are redacted.
Reproducibility
Task generation, verifiers, tool runner, exporter, and configuration are in collector_source/. Resume state is local SQLite; public exports are sharded compressed JSONL.
Correction revision: 2026-10-06
This revision preserves all 30,000 original trace IDs and existing dataset configurations. 2,142 selected traces were regenerated through actual API calls, 127 derived final responses were edited with independent checks, 97 regenerated final responses received independently reviewed derived edits, and numeric decision options were corrected to remove the universal median-answer shortcut. Related canonical views were replaced consistently in one atomic commit.
Original Git history retains revision 6f8a6a76dd65cb8a6413f48f6506fff245635d73. Actual original API attempts remain in api_calls; new attempts and quality audit calls are appended. Derived final edits explicitly retain the original API responses and distinguish edited finals from recorded provider output. Journals and quality attempts are in revisions/2026-10-06/. Original collection code remains under collector_source/; correction code is under revisions/2026-10-06/collector_source/. Journals contain private references and must never be model inputs.
QA verifies exact IDs, stable public tabular schemas, source fingerprints, independent numeric references, actual tool/API provenance, and unchanged-record hashes. Semantic review and same-provider critique are scoped evidence, not proof of all claims. Finite coding tests and writing checks retain their documented limitations. Preserved reasoning qualifications are also present in traces.verification_json. An ordinary-response row with a preserved explicitly incorrect reasoning span is not marked as an eligible positive full-response example, even when its derived final content is correct. Component-qualified spans must be handled separately when training.
Privacy update — 2026-10-10
Identifying provider hostnames in generation metadata and saved transport errors have been replaced with redacted.invalid. Trace IDs, task content, model answers, labels, and split assignments are unchanged.
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