DistDebug-Bench traces v1.0.0
Browse files- README.md +158 -0
- configs.json +227 -0
- data/attempts.parquet +3 -0
- runs/codex-cli__gpt-5.2-codex.tar.gz +3 -0
- runs/codex-cli__o4-mini.tar.gz +3 -0
- runs/mini-swe-agent__claude-opus-5.5.tar.gz +3 -0
- runs/mini-swe-agent__deepseek-v4-flash.tar.gz +3 -0
- runs/mini-swe-agent__gemini-3.5-flash.tar.gz +3 -0
- runs/mini-swe-agent__gpt-5.2-codex.tar.gz +3 -0
- runs/mini-swe-agent__gpt-5.3-codex.tar.gz +3 -0
- runs/mini-swe-agent__gpt-5.4.tar.gz +3 -0
- runs/mini-swe-agent__gpt-5.5.tar.gz +3 -0
- runs/mini-swe-agent__gpt-6-astra.tar.gz +3 -0
- runs/mini-swe-agent__hy3.tar.gz +3 -0
- runs/mini-swe-agent__kimi-k2.6.tar.gz +3 -0
- runs/mini-swe-agent__mimo-v2.5-pro.tar.gz +3 -0
- runs/mini-swe-agent__mimo-v2.5.tar.gz +3 -0
- runs/mini-swe-agent__o4-mini.tar.gz +3 -0
- runs/opencode__gpt-5.2-codex.tar.gz +3 -0
- runs/opencode__o4-mini.tar.gz +3 -0
- selection.json +0 -0
README.md
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| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
pretty_name: DistDebug-Bench Traces
|
| 6 |
+
size_categories:
|
| 7 |
+
- 1K<n<10K
|
| 8 |
+
tags:
|
| 9 |
+
- distributed-systems
|
| 10 |
+
- debugging
|
| 11 |
+
- root-cause-analysis
|
| 12 |
+
- agents
|
| 13 |
+
- trajectories
|
| 14 |
+
- software-engineering
|
| 15 |
+
configs:
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| 16 |
+
- config_name: attempts
|
| 17 |
+
data_files:
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| 18 |
+
- split: train
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| 19 |
+
path: data/attempts.parquet
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| 20 |
+
default: true
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| 21 |
+
---
|
| 22 |
+
|
| 23 |
+
# DistDebug-Bench Traces
|
| 24 |
+
|
| 25 |
+
Agent traces behind the main results (Table 1) of *DistDebug-Bench: Can LLM
|
| 26 |
+
Agents Diagnose Bugs in Distributed Systems?* (NeurIPS 2026, Evaluations and
|
| 27 |
+
Datasets Track): 17 agent configurations, 120 bugs each, and the three
|
| 28 |
+
attempts per bug that the paper scores, for 6,120 attempts in total.
|
| 29 |
+
|
| 30 |
+
- Benchmark: https://huggingface.co/datasets/OrderLab/distdebug-bench
|
| 31 |
+
- Code, runner, and evaluator: https://github.com/OrderLab/distdebug-bench
|
| 32 |
+
- Website and leaderboard: https://orderlab.io/distdebug-bench/
|
| 33 |
+
|
| 34 |
+
## Contents
|
| 35 |
+
|
| 36 |
+
| Path | Description |
|
| 37 |
+
|---|---|
|
| 38 |
+
| `data/attempts.parquet` | One row per attempt: configuration, bug, run, the nine accuracy scores, token use and cost, and the diagnosis. |
|
| 39 |
+
| `runs/<config>.tar.gz` | Every attempt's full run directory, including the trace. |
|
| 40 |
+
| `configs.json` | Harness, harness version, and model of each configuration. |
|
| 41 |
+
| `selection.json` | The run IDs of the three scored attempts per bug and configuration. |
|
| 42 |
+
|
| 43 |
+
| Configuration | Harness | Model | Archive |
|
| 44 |
+
|---|---|---|---:|
|
| 45 |
+
| `mini-swe-agent__gpt-6-astra` | Mini-SWE-Agent 2.2.8 | GPT-6 Astra | 14 MB |
|
| 46 |
+
| `mini-swe-agent__claude-opus-5.5` | Mini-SWE-Agent 2.2.8 | Claude Opus 5.5 | 10 MB |
|
| 47 |
+
| `mini-swe-agent__gpt-5.5` | Mini-SWE-Agent 2.2.8 | GPT-5.5 | 17 MB |
|
| 48 |
+
| `mini-swe-agent__gpt-5.4` | Mini-SWE-Agent 2.2.8 | GPT-5.4 | 103 MB |
|
| 49 |
+
| `mini-swe-agent__gpt-5.3-codex` | Mini-SWE-Agent 2.2.8 | GPT-5.3-Codex | 18 MB |
|
| 50 |
+
| `mini-swe-agent__mimo-v2.5-pro` | Mini-SWE-Agent 2.2.8 | MiMo v2.5 Pro | 32 MB |
|
| 51 |
+
| `mini-swe-agent__kimi-k2.6` | Mini-SWE-Agent 2.2.8 | Kimi K2.6 | 30 MB |
|
| 52 |
+
| `mini-swe-agent__mimo-v2.5` | Mini-SWE-Agent 2.2.8 | MiMo v2.5 | 34 MB |
|
| 53 |
+
| `mini-swe-agent__deepseek-v4-flash` | Mini-SWE-Agent 2.2.8 | DeepSeek V4 Flash | 26 MB |
|
| 54 |
+
| `mini-swe-agent__gpt-5.2-codex` | Mini-SWE-Agent 2.2.8 | GPT-5.2-Codex | 13 MB |
|
| 55 |
+
| `mini-swe-agent__hy3` | Mini-SWE-Agent 2.2.8 | Hunyuan3 | 20 MB |
|
| 56 |
+
| `mini-swe-agent__gemini-3.5-flash` | Mini-SWE-Agent 2.2.8 | Gemini 3.5 Flash | 29 MB |
|
| 57 |
+
| `mini-swe-agent__o4-mini` | Mini-SWE-Agent 1.14.4, 2.2.8 | o4-mini | 23 MB |
|
| 58 |
+
| `codex-cli__gpt-5.2-codex` | Codex CLI 0.128.0 | GPT-5.2-Codex | 7 MB |
|
| 59 |
+
| `codex-cli__o4-mini` | Codex CLI 0.128.0 | o4-mini | 8 MB |
|
| 60 |
+
| `opencode__gpt-5.2-codex` | OpenCode 1.4.6 | GPT-5.2-Codex | 12 MB |
|
| 61 |
+
| `opencode__o4-mini` | OpenCode 1.4.6 | o4-mini | 6 MB |
|
| 62 |
+
|
| 63 |
+
### Run directories
|
| 64 |
+
|
| 65 |
+
Each archive unpacks to `<config>/<bug>/run-NN/`. Run IDs are the original
|
| 66 |
+
ones. The paper scores the first three attempts per bug with a schema-valid
|
| 67 |
+
diagnosis, so a gap in the numbering means an earlier attempt ended without
|
| 68 |
+
one. Every run directory has:
|
| 69 |
+
|
| 70 |
+
- `diagnosis.json`: the final diagnosis (root-cause blocks and an explanation)
|
| 71 |
+
- `diagnosis_scores.json`: the ground truth, the diagnosis, and its scores
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| 72 |
+
- `session_stats.json`: API calls, tokens, cost, and wall time
|
| 73 |
+
|
| 74 |
+
The trace depends on the harness:
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| 75 |
+
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| 76 |
+
| Harness | Trace files |
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| 77 |
+
|---|---|
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| 78 |
+
| Mini-SWE-Agent | `trajectory.json`: the run configuration and every model message, tool call, and tool output |
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| 79 |
+
| Codex CLI | `codex_exec.log` (Codex's JSON event stream) and `codex_last_message.json` |
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| 80 |
+
| OpenCode | `prompt.txt` and `opencode_cli.log` (OpenCode's JSON event stream) |
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| 81 |
+
|
| 82 |
+
### Attempts table
|
| 83 |
+
|
| 84 |
+
| Column | Description |
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| 85 |
+
|---|---|
|
| 86 |
+
| `config`, `harness`, `model` | Configuration (archive name), harness, and model |
|
| 87 |
+
| `bug`, `run`, `attempt` | Benchmark instance, run ID, and position (1–3) among the scored attempts |
|
| 88 |
+
| `harness_version` | Harness version recorded in the trace |
|
| 89 |
+
| `workspace` | `anonymized` or `legacy`. Legacy attempts ran before workspace paths were anonymized, so their workspace path contains the bug ID. |
|
| 90 |
+
| `has_trace` | Whether the run directory contains a trace file |
|
| 91 |
+
| `num_blocks` | Number of root-cause blocks in the diagnosis |
|
| 92 |
+
| `file_coverage` … `mention_coverage` | The nine accuracy metrics, in [0, 1] |
|
| 93 |
+
| `api_calls` … `duration_seconds` | `session_stats.json` fields |
|
| 94 |
+
| `diagnosis` | The raw `diagnosis.json` text |
|
| 95 |
+
|
| 96 |
+
```python
|
| 97 |
+
from datasets import load_dataset
|
| 98 |
+
|
| 99 |
+
attempts = load_dataset("OrderLab/distdebug-bench-traces", split="train").to_pandas()
|
| 100 |
+
per_bug = attempts.groupby(["config", "bug"])["block_coverage"].mean()
|
| 101 |
+
print(per_bug.groupby("config").mean().sort_values(ascending=False))
|
| 102 |
+
```
|
| 103 |
+
|
| 104 |
+
Notes:
|
| 105 |
+
|
| 106 |
+
- Nine attempts submitted a diagnosis with no blocks. They count as zero on
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| 107 |
+
every metric, as in the paper.
|
| 108 |
+
- `mini-swe-agent__o4-mini` `ray-60991/run-01` has no trace file.
|
| 109 |
+
- Codex CLI records one API call and no cost per run.
|
| 110 |
+
- Claude Opus 5.5's thinking text is hidden, so `output_reasoning_tokens` is
|
| 111 |
+
0. Thinking tokens are billed as output tokens, so `total_tokens` and `cost`
|
| 112 |
+
are correct.
|
| 113 |
+
|
| 114 |
+
## Reproducing the paper
|
| 115 |
+
|
| 116 |
+
The GitHub repository rescores every diagnosis with the public evaluator,
|
| 117 |
+
aggregates the scores, and rebuilds Table 1 and Figures 2 and 3. It then
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| 118 |
+
checks the results against the paper's:
|
| 119 |
+
|
| 120 |
+
```bash
|
| 121 |
+
git clone https://github.com/OrderLab/distdebug-bench && cd distdebug-bench
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| 122 |
+
pip install -e ".[paper]"
|
| 123 |
+
hf download OrderLab/distdebug-bench-traces --repo-type dataset --local-dir traces
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| 124 |
+
python paper/reproduce.py traces
|
| 125 |
+
```
|
| 126 |
+
|
| 127 |
+
## Redactions
|
| 128 |
+
|
| 129 |
+
The traces are otherwise unmodified, except for these replacements:
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| 130 |
+
|
| 131 |
+
- Local paths, the machine's host name and user name, a private API endpoint,
|
| 132 |
+
an internal project name, and one git author line are replaced with the
|
| 133 |
+
placeholders `/home/user`, `host`, `user`, `<azure-endpoint>`, `harness`, and
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| 134 |
+
`user <user@example.com>`.
|
| 135 |
+
- Encrypted reasoning items returned by the OpenAI Responses API
|
| 136 |
+
(`encrypted_content`) are set to `null`. They are opaque and cannot be
|
| 137 |
+
decrypted.
|
| 138 |
+
|
| 139 |
+
Rescoring the redacted diagnoses reproduces every stored score.
|
| 140 |
+
|
| 141 |
+
## License
|
| 142 |
+
|
| 143 |
+
The diagnoses, scores, and metadata are under the MIT license. Tool outputs
|
| 144 |
+
in the traces quote source code, git history, and issue text from the 11
|
| 145 |
+
upstream systems, which remain under their own licenses. See the
|
| 146 |
+
[benchmark card](https://huggingface.co/datasets/OrderLab/distdebug-bench) for
|
| 147 |
+
the list.
|
| 148 |
+
|
| 149 |
+
## Citation
|
| 150 |
+
|
| 151 |
+
```bibtex
|
| 152 |
+
@inproceedings{jiang2026distdebugbench,
|
| 153 |
+
title = {{DistDebug-Bench}: Can {LLM} Agents Diagnose Bugs in Distributed Systems?},
|
| 154 |
+
author = {Jiang, Yuxuan and Liu, Chenglin and Rose, John and Miller, Mason and Thavamani, Ruthesh and Wu, Juntao and Huang, Yinwei and Xu, Jiahao and Huang, Peng},
|
| 155 |
+
booktitle = {Advances in Neural Information Processing Systems (NeurIPS), Evaluations and Datasets Track},
|
| 156 |
+
year = {2026}
|
| 157 |
+
}
|
| 158 |
+
```
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configs.json
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| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"config": "mini-swe-agent__gpt-6-astra",
|
| 4 |
+
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