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traceeval.task_completion_training_record.v1 | sha256:63a2520b28e8962b466a9f9ebbe5fd90f6ec125dfbfa6b85e98b1e79af021db4 | synthetic-codex:S00008:complete | synthetic-codex-v1-evidence-audited-v1-learning-evidence-v1:schema-1 | sha256:e86f6b53278b167f1e27eb722397e676001189811edd0af8bd4caeed68feced6 | sha256:634dbfa987c3bfb758c78dd21cac5d021685d47571b3dcad9be56f1cda4112e2 | perseval.compact-task-completion-projector.v3 | {
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"actor": "user",
"kind": "user_request",
"status": "succeeded",
"lane": "mandatory",
"mandatory": true,
"span_id": "root",
"summary": "Process a... | [] | {
"schema_version": "traceeval.task_completion_evidence_feature_record.v1",
"feature_set_version": "traceeval.task_completion_structured_evidence.v2",
"feature_record_id": "sha256:c77ccaacc2f1dd75d72fc5cd08fb43115e9950bf49e69f600c813a698474a11a",
"target_key": "synthetic-codex:S00008:complete",
"target_revisi... |
traceeval.task_completion_training_record.v1 | sha256:2962be84957e4d7e67479b3ef172f095530057444c3cbd0f8c1fed3fabbbec28 | synthetic-codex:S00008:counterfactual | synthetic-codex-v1-evidence-audited-v1-learning-evidence-v1:schema-1 | sha256:dcac4b77421633ce58d417ebdde5ef120fa98254cc0efdb68ad35aab5d0e0e69 | sha256:52aa92a07b1f54bc3fc398e95deae50fd40677ca22df265593420a360cad9200 | perseval.compact-task-completion-projector.v3 | {
"primary_request": "Process a release approval, record its receipt, complete the delegated check, and respect user cancellation.",
"success_criteria": [
"A user cancellation is explicitly acknowledged, with no later mutation.",
"A release approval receipt with ID release-approval-0008 exists.",
"The d... | [
{
"evidence_id": "E0001",
"evidence_key": "sha256:3c2632436a2755a30bb4d1a3ed6d816471bf5f20c79a544b8ca54e78fa4ff849",
"sequence": 0,
"actor": "user",
"kind": "user_request",
"status": "succeeded",
"lane": "mandatory",
"mandatory": true,
"span_id": "root",
"summary": "Process a... | [] | {
"schema_version": "traceeval.task_completion_evidence_feature_record.v1",
"feature_set_version": "traceeval.task_completion_structured_evidence.v2",
"feature_record_id": "sha256:1efb785297767d308ea2368f8ccecce833a087d6067ee0ecdda2f24052898c0d",
"target_key": "synthetic-codex:S00008:counterfactual",
"target_... |
traceeval.task_completion_training_record.v1 | sha256:80c2ffa8eea7c8e70a9a98e2a7458ed63eafcbb00893252226cfa1da5be4cdcf | synthetic-codex:S00009:complete | synthetic-codex-v1-evidence-audited-v1-learning-evidence-v1:schema-1 | sha256:3b34b6eb8fa5b0c18dc39d7f35010eca5d1d2ac1153e72107d6f1b8b3fb9ff7b | sha256:7081c5a49988d6f56613d1f9eca0cd21a25c9953ba65913778f9f07e59f046ff | perseval.compact-task-completion-projector.v3 | {
"primary_request": "Complete and verify the Aurora billing SDK pull-request review.",
"success_criteria": [
"The review status is approved.",
"The pull request is linked to issue BILL-482.",
"A task-relevant security verification passes after the requested change."
],
"requested_side_effects": [
... | [
{
"evidence_id": "E0001",
"evidence_key": "sha256:fa26aff350e899af84f37f315352655fb19875e02a6afba3b2c7f15d61fc00fa",
"sequence": 0,
"actor": "user",
"kind": "user_request",
"status": "succeeded",
"lane": "mandatory",
"mandatory": true,
"span_id": "root",
"summary": "Complete ... | [] | {
"schema_version": "traceeval.task_completion_evidence_feature_record.v1",
"feature_set_version": "traceeval.task_completion_structured_evidence.v2",
"feature_record_id": "sha256:4a110b15a1f77631506e85d06176b0fa612b8f582a1e1e1892856c075ea42eaa",
"target_key": "synthetic-codex:S00009:complete",
"target_revisi... |
traceeval.task_completion_training_record.v1 | sha256:946dd4e0f67a3f535161e71d76acb8c477dbe03050418e5d0f7df82f085812ca | synthetic-codex:S00009:counterfactual | synthetic-codex-v1-evidence-audited-v1-learning-evidence-v1:schema-1 | sha256:411a254fe3be40f44bc439b82a72dbadce11cf7508b4fc007645603ca4307a1a | sha256:5c621724ccbfa3d31e222190fb1bcc081e8f674a73268320f062cc2df5a9fabd | perseval.compact-task-completion-projector.v3 | {
"primary_request": "Complete and verify the Aurora billing SDK pull-request review.",
"success_criteria": [
"The review status is approved.",
"The pull request is linked to issue BILL-482.",
"A task-relevant security verification passes after the requested change."
],
"requested_side_effects": [
... | [
{
"evidence_id": "E0001",
"evidence_key": "sha256:78b389ba63e16db6055e8a647e6d3987ae4de02aba75951dbe03a9d174c8176d",
"sequence": 0,
"actor": "user",
"kind": "user_request",
"status": "succeeded",
"lane": "mandatory",
"mandatory": true,
"span_id": "root",
"summary": "Complete ... | [] | {
"schema_version": "traceeval.task_completion_evidence_feature_record.v1",
"feature_set_version": "traceeval.task_completion_structured_evidence.v2",
"feature_record_id": "sha256:eb113ce37021fc7695cca33a120b238eaaf76fbd59d0adb1025aaefd67dbb626",
"target_key": "synthetic-codex:S00009:counterfactual",
"target_... |
traceeval.task_completion_training_record.v1 | sha256:08a71b7f95e26021c1f047775daa239099ff76d738d527b61df815deea00e519 | synthetic-codex:S00010:complete | synthetic-codex-v1-evidence-audited-v1-learning-evidence-v1:schema-1 | sha256:72f1796bb4df13915831d1252dd37ca2997bf66552620537606a02358354d5d2 | sha256:b487f5ef77afbd937d1957b8d85898f39a6442033e4bb0c04bab79dfa779dd1b | perseval.compact-task-completion-projector.v3 | {
"primary_request": "Compile the weekly subscription report from current research data.",
"success_criteria": [
"The weekly report is marked compiled.",
"All started research child-agent branches are finished.",
"A receipt exists for the weekly subscription report."
],
"requested_side_effects": [
... | [
{
"evidence_id": "E0001",
"evidence_key": "sha256:9f2fb2698cc67265a48a666e570d8901174013731b4c8594feb0e8eb251556c6",
"sequence": 0,
"actor": "user",
"kind": "user_request",
"status": "succeeded",
"lane": "mandatory",
"mandatory": true,
"span_id": "root",
"summary": "Compile t... | [] | {
"schema_version": "traceeval.task_completion_evidence_feature_record.v1",
"feature_set_version": "traceeval.task_completion_structured_evidence.v2",
"feature_record_id": "sha256:c97479bf2a2a8dab3049fad5f80b1a4d2b36ddb91863bb8705b5514ac41aec34",
"target_key": "synthetic-codex:S00010:complete",
"target_revisi... |
End of preview. Expand in Data Studio
Perseval Synthetic Agent Evaluator Traces
This dataset contains 318 fully synthetic agent traces in 159 matched complete/incomplete scenario groups. It is designed to develop trace projection, task-completion classification, and criterion-level fulfillment models without publishing user traces.
What is in the release
traces.jsonl: OpenTelemetry-like trace records with no outcome labels in the model-visible payload.task_completion_labels.jsonl: group-aware binary task-completion labels.requirement_bundles.jsonl: active user requirements and constraints.criterion_fulfillment_labels.jsonl: supported, contradicted, or unknown labels for each requirement, with evidence keys.proofs.jsonl: immutable proof metadata produced by the local verifier.compact_projections.jsonl: output from the versioned Rust projector.structured_training_records.jsonl: projections plus the typed feature schema used by the compact evaluator.executable_programs.jsonl: the synthetic state machines from which traces and labels were derived.
Generation and labeling
gpt-5.6-luna authored scenario surfaces and executable programs. It did not
provide task-completion or criterion labels. A deterministic local simulator
executed each program and derived labels from observable final state and proof
artifacts. Complete and incomplete counterfactuals share a group key and must
remain in the same split.
The release spans 20 domains and five non-coding families: browser, API/tool use, research/data, multi-agent work, and external actions. The dataset is balanced at 159 complete and 159 incomplete traces.
Recommended use
- Keep
group_keydisjoint between train, calibration, and evaluation. - Use the synthetic rows as training or development augmentation, not as the sole measure of production quality.
- Preserve evidence keys and revision hashes when deriving new records.
- Evaluate against separately sourced, human-reviewed traces before release.
Limitations
The scenarios are synthetic, English-only, and generated by one model family. They do not represent real user prevalence, production latency, privacy risk, or the full ambiguity of human requests. Labels verify the executable scenario contract; they are not a substitute for human calibration. The dataset has labels for Task Completion and Criterion Fulfillment only. It does not yet provide release-quality labels for hallucination, usefulness, frustration, tool-use correctness, or efficiency.
Provenance and leakage controls
- No user traces or private benchmark holdouts are included.
- The private comparison holdout was not opened during generation or packaging.
- Global and criterion labels are absent from model-visible trace payloads.
- Private Codex responses, repair prompts, and local filesystem paths are not part of this release.
dataset_manifest.jsoncontains per-file hashes and schema versions.
License
The dataset is released under CC BY 4.0. Synthetic product, person, and email
identifiers are fictional; reserved .example addresses are used where an
email-like value is required by a scenario.
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