---
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}
}
```