| --- |
| language: |
| - en |
| license: mit |
| size_categories: |
| - n<1K |
| pretty_name: TraceTrial-Bench |
| task_categories: |
| - other |
| tags: |
| - benchmark |
| - agents |
| - harness |
| - reliability |
| - failure-attribution |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/tasks.jsonl |
| - config_name: traces |
| data_files: |
| - split: test |
| path: traces/index.jsonl |
| --- |
| |
| # TraceTrial-Bench |
|
|
| **Trial by Trace: Benchmarking AI Agent Harnesses for Reliability and Failure Attribution** |
|
|
| [Paper](https://arxiv.org/abs/2610.32285) · [Interactive report / Space](https://huggingface.co/spaces/TraceLite-AI/Trial-by-Trace) · [Code](https://github.com/TraceLite-AI/TraceTrial-Bench) · [Download all tasks](https://huggingface.co/datasets/TraceLite-AI/TraceTrial-Bench/resolve/main/TraceTrial-Bench-tasks.zip?download=true) |
|
|
| ## Dataset contents |
|
|
| The final **95 executable task packages** cover **40 mechanism nodes** across **7 reliability dimensions**. Each package contains its prompt, workspace inputs, runtime/simulator configuration, and Harness/Agent scoring files. The dataset also includes **3,420 model execution trajectory packages** covering 95 tasks × 9 models × 4 harnesses; see [Execution trajectories](#execution-trajectories). |
|
|
| | Dimension | Tasks | |
| | --- | ---: | |
| | Context | 15 | |
| | Execution | 27 | |
| | Governance | 9 | |
| | Lifecycle | 19 | |
| | Observability | 7 | |
| | Tools | 17 | |
| | Verification | 1 | |
| | **Total** | **95** | |
|
|
| - [`Task/final.manifest`](Task/final.manifest) is the authoritative task order, matching the heatmap's left-hand labels from top to bottom on **page 45, Figure 13** of the supplied paper PDF. |
| - [`Task/`](https://huggingface.co/datasets/TraceLite-AI/TraceTrial-Bench/tree/main/Task) contains the complete task directories. Task IDs and task input README files are preserved. |
| - [`data/tasks.jsonl`](data/tasks.jsonl) provides one metadata/prompt row per task for the Dataset Viewer; `paper_order` is one-based. This index is not a replacement for the complete task packages. |
| - [`TraceTrial-Bench-tasks.zip`](https://huggingface.co/datasets/TraceLite-AI/TraceTrial-Bench/resolve/main/TraceTrial-Bench-tasks.zip?download=true) contains `Task/` and `LICENSE`, ready to extract into the code repository. |
| - [`checksums.sha256`](checksums.sha256) records the SHA-256 of every task file. [`release.json`](release.json) records the source revision and archive digest. |
|
|
| ## Execution trajectories |
|
|
| The [`traces/`](https://huggingface.co/datasets/TraceLite-AI/TraceTrial-Bench/tree/main/traces) release contains **3,420 runs** (95 tasks × 9 models × 4 harnesses), distributed as 95 per-task `.tar.gz` archives. Each archive contains all 36 model/harness run directories for that task, retaining execution traces, available workspace evidence, and scoring artifacts. |
|
|
| - [`traces/index.jsonl`](traces/index.jsonl): one row per run, with task/model/harness identity, execution completeness, historical result status, final combined score, archive location, and original score/result hashes. |
| - [`traces/task_name_mapping.tsv`](traces/task_name_mapping.tsv): original-to-current task directory names. Embedded historical IDs and paths remain unchanged. |
| - [`traces/release.json`](traces/release.json): provenance, counts, archive hashes, and publication redaction inventory. |
| - [`traces/SHA256SUMS`](traces/SHA256SUMS): checksums for the trace release files. |
| - [`traces/README.md`](traces/README.md): extraction instructions and interpretation of execution versus scoring status. |
|
|
| Preview the run index: |
|
|
| ```python |
| from datasets import load_dataset |
| |
| runs = load_dataset("TraceLite-AI/TraceTrial-Bench", "traces", split="test") |
| print(runs[0]["final_score"]) |
| ``` |
|
|
| Download all trace archives (or select a task archive): |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| |
| snapshot_download( |
| repo_id="TraceLite-AI/TraceTrial-Bench", |
| repo_type="dataset", |
| local_dir="TraceTrial-Bench-data", |
| allow_patterns=["traces/**"], |
| ) |
| ``` |
|
|
| Historical `result.json` may still say `run_complete` or contain a pending evaluation even when a final `artifacts/llm_judge/combined_score.json` exists. The index explicitly separates these fields and uses the latter for `final_score`. Some runs have incomplete execution traces; these are identified by `trace_complete`, not silently excluded. Matched provider configuration values and recognizable access-token strings are redacted in the publication copy; source trajectories are retained locally. This upload does not rerun agents or judges. |
|
|
| ## Use |
|
|
| Preview metadata and prompts: |
|
|
| ```python |
| from datasets import load_dataset |
| |
| tasks = load_dataset("TraceLite-AI/TraceTrial-Bench", split="test") |
| print(tasks[0]["task_id"]) |
| ``` |
|
|
| Download the complete task packages: |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| |
| snapshot_download( |
| repo_id="TraceLite-AI/TraceTrial-Bench", |
| repo_type="dataset", |
| local_dir="TraceTrial-Bench-data", |
| allow_patterns=["Task/**", "LICENSE", "release.json", "checksums.sha256"], |
| ) |
| ``` |
|
|
| The executable runner and installation instructions are in the [code repository](https://github.com/TraceLite-AI/TraceTrial-Bench). From that repository, with `Task/` in place and a configured model registry, select the full benchmark using `--task-manifest Task/final.manifest`. |
|
|
| ## Provenance and scope |
|
|
| The task-package portion of this dataset is exported from GitHub commit `6bd9524c7e89d4e6cc612d6f720abd24ccb44229`. File bytes come from that committed `Task/` tree, excluding untracked files, Python caches, credentials and run outputs. Task contents and scoring criteria are unchanged by this export. The `test` split contains the benchmark's full published selection; no train/validation split is introduced. |
|
|
| The task publication verifies packaging and order. The trajectory publication packages existing local run evidence and saved final scores, with its own provenance and redaction inventory in `traces/release.json`. Neither publication constitutes a new model evaluation or a rerun of the paper's experiments. The task environments are constructed benchmark scenarios; some task packages include source-document excerpts with their existing notices retained. |
|
|
| ## License |
|
|
| The repository license is [MIT](LICENSE). Existing notices in bundled reference material are retained. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{tracelite2026trialbytrace, |
| title = {Trial by Trace: Benchmarking AI Agent Harnesses |
| for Reliability and Failure Attribution}, |
| author = {Cao, Zhiyong and Zhu, Hengjie and Wang, Yongxin and Li, Xuchen and |
| Li, Jintao and Liu, Shuxia and Liu, Dunqiang and Wang, Bo and |
| Zhang, Kairan and Lin, Cong and Yu, JiangDi and Liu, Siyuan and |
| Yao, Sijia and Wei, Yi-Liang and Ma, Lingxu and Wang, Aijia and |
| Chen, Anxin and Wei, Zixian and Ruan, Xiang and Xu, Ruizhi and |
| Shi, Ruqian and Xiao, Baihua and Zhou, Sicheng}, |
| year = {2026}, |
| eprint = {2610.32285}, |
| archivePrefix = {arXiv}, |
| primaryClass = {cs.AI}, |
| url = {https://arxiv.org/abs/2610.32285} |
| } |
| ``` |
