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DistDebug-Bench traces v1.0.0

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README.md ADDED
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+ ---
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+ license: mit
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+ language:
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+ - en
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+ pretty_name: DistDebug-Bench Traces
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+ size_categories:
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+ - 1K<n<10K
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+ tags:
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+ - distributed-systems
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+ - debugging
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+ - root-cause-analysis
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+ - agents
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+ - trajectories
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+ - software-engineering
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+ configs:
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+ - config_name: attempts
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+ data_files:
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+ - split: train
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+ path: data/attempts.parquet
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+ default: true
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+ ---
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+
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+ # DistDebug-Bench Traces
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+
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+ Agent traces behind the main results (Table 1) of *DistDebug-Bench: Can LLM
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+ Agents Diagnose Bugs in Distributed Systems?* (NeurIPS 2026, Evaluations and
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+ Datasets Track): 17 agent configurations, 120 bugs each, and the three
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+ attempts per bug that the paper scores, for 6,120 attempts in total.
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+
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+ - Benchmark: https://huggingface.co/datasets/OrderLab/distdebug-bench
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+ - Code, runner, and evaluator: https://github.com/OrderLab/distdebug-bench
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+ - Website and leaderboard: https://orderlab.io/distdebug-bench/
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+
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+ ## Contents
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+
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+ | Path | Description |
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+ |---|---|
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+ | `data/attempts.parquet` | One row per attempt: configuration, bug, run, the nine accuracy scores, token use and cost, and the diagnosis. |
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+ | `runs/<config>.tar.gz` | Every attempt's full run directory, including the trace. |
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+ | `configs.json` | Harness, harness version, and model of each configuration. |
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+ | `selection.json` | The run IDs of the three scored attempts per bug and configuration. |
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+
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+ | Configuration | Harness | Model | Archive |
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+ |---|---|---|---:|
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+ | `mini-swe-agent__gpt-6-astra` | Mini-SWE-Agent 2.2.8 | GPT-6 Astra | 14 MB |
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+ | `mini-swe-agent__claude-opus-5.5` | Mini-SWE-Agent 2.2.8 | Claude Opus 5.5 | 10 MB |
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+ | `mini-swe-agent__gpt-5.5` | Mini-SWE-Agent 2.2.8 | GPT-5.5 | 17 MB |
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+ | `mini-swe-agent__gpt-5.4` | Mini-SWE-Agent 2.2.8 | GPT-5.4 | 103 MB |
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+ | `mini-swe-agent__gpt-5.3-codex` | Mini-SWE-Agent 2.2.8 | GPT-5.3-Codex | 18 MB |
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+ | `mini-swe-agent__mimo-v2.5-pro` | Mini-SWE-Agent 2.2.8 | MiMo v2.5 Pro | 32 MB |
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+ | `mini-swe-agent__kimi-k2.6` | Mini-SWE-Agent 2.2.8 | Kimi K2.6 | 30 MB |
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+ | `mini-swe-agent__mimo-v2.5` | Mini-SWE-Agent 2.2.8 | MiMo v2.5 | 34 MB |
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+ | `mini-swe-agent__deepseek-v4-flash` | Mini-SWE-Agent 2.2.8 | DeepSeek V4 Flash | 26 MB |
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+ | `mini-swe-agent__gpt-5.2-codex` | Mini-SWE-Agent 2.2.8 | GPT-5.2-Codex | 13 MB |
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+ | `mini-swe-agent__hy3` | Mini-SWE-Agent 2.2.8 | Hunyuan3 | 20 MB |
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+ | `mini-swe-agent__gemini-3.5-flash` | Mini-SWE-Agent 2.2.8 | Gemini 3.5 Flash | 29 MB |
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+ | `mini-swe-agent__o4-mini` | Mini-SWE-Agent 1.14.4, 2.2.8 | o4-mini | 23 MB |
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+ | `codex-cli__gpt-5.2-codex` | Codex CLI 0.128.0 | GPT-5.2-Codex | 7 MB |
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+ | `codex-cli__o4-mini` | Codex CLI 0.128.0 | o4-mini | 8 MB |
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+ | `opencode__gpt-5.2-codex` | OpenCode 1.4.6 | GPT-5.2-Codex | 12 MB |
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+ | `opencode__o4-mini` | OpenCode 1.4.6 | o4-mini | 6 MB |
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+
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+ ### Run directories
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+
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+ Each archive unpacks to `<config>/<bug>/run-NN/`. Run IDs are the original
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+ ones. The paper scores the first three attempts per bug with a schema-valid
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+ diagnosis, so a gap in the numbering means an earlier attempt ended without
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+ one. Every run directory has:
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+
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+ - `diagnosis.json`: the final diagnosis (root-cause blocks and an explanation)
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+ - `diagnosis_scores.json`: the ground truth, the diagnosis, and its scores
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+ - `session_stats.json`: API calls, tokens, cost, and wall time
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+
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+ The trace depends on the harness:
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+
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+ | Harness | Trace files |
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+ |---|---|
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+ | Mini-SWE-Agent | `trajectory.json`: the run configuration and every model message, tool call, and tool output |
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+ | Codex CLI | `codex_exec.log` (Codex's JSON event stream) and `codex_last_message.json` |
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+ | OpenCode | `prompt.txt` and `opencode_cli.log` (OpenCode's JSON event stream) |
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+
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+ ### Attempts table
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+
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+ | Column | Description |
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+ |---|---|
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+ | `config`, `harness`, `model` | Configuration (archive name), harness, and model |
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+ | `bug`, `run`, `attempt` | Benchmark instance, run ID, and position (1–3) among the scored attempts |
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+ | `harness_version` | Harness version recorded in the trace |
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+ | `workspace` | `anonymized` or `legacy`. Legacy attempts ran before workspace paths were anonymized, so their workspace path contains the bug ID. |
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+ | `has_trace` | Whether the run directory contains a trace file |
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+ | `num_blocks` | Number of root-cause blocks in the diagnosis |
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+ | `file_coverage` … `mention_coverage` | The nine accuracy metrics, in [0, 1] |
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+ | `api_calls` … `duration_seconds` | `session_stats.json` fields |
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+ | `diagnosis` | The raw `diagnosis.json` text |
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ attempts = load_dataset("OrderLab/distdebug-bench-traces", split="train").to_pandas()
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+ per_bug = attempts.groupby(["config", "bug"])["block_coverage"].mean()
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+ print(per_bug.groupby("config").mean().sort_values(ascending=False))
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+ ```
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+
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+ Notes:
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+
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+ - Nine attempts submitted a diagnosis with no blocks. They count as zero on
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+ every metric, as in the paper.
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+ - `mini-swe-agent__o4-mini` `ray-60991/run-01` has no trace file.
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+ - Codex CLI records one API call and no cost per run.
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+ - Claude Opus 5.5's thinking text is hidden, so `output_reasoning_tokens` is
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+ 0. Thinking tokens are billed as output tokens, so `total_tokens` and `cost`
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+ are correct.
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+
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+ ## Reproducing the paper
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+
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+ The GitHub repository rescores every diagnosis with the public evaluator,
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+ aggregates the scores, and rebuilds Table 1 and Figures 2 and 3. It then
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+ checks the results against the paper's:
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+
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+ ```bash
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+ git clone https://github.com/OrderLab/distdebug-bench && cd distdebug-bench
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+ pip install -e ".[paper]"
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+ hf download OrderLab/distdebug-bench-traces --repo-type dataset --local-dir traces
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+ python paper/reproduce.py traces
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+ ```
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+
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+ ## Redactions
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+
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+ The traces are otherwise unmodified, except for these replacements:
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+
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+ - Local paths, the machine's host name and user name, a private API endpoint,
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+ an internal project name, and one git author line are replaced with the
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+ placeholders `/home/user`, `host`, `user`, `<azure-endpoint>`, `harness`, and
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+ `user <user@example.com>`.
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+ - Encrypted reasoning items returned by the OpenAI Responses API
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+ (`encrypted_content`) are set to `null`. They are opaque and cannot be
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+ decrypted.
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+
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+ Rescoring the redacted diagnoses reproduces every stored score.
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+
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+ ## License
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+
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+ The diagnoses, scores, and metadata are under the MIT license. Tool outputs
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+ in the traces quote source code, git history, and issue text from the 11
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+ upstream systems, which remain under their own licenses. See the
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+ [benchmark card](https://huggingface.co/datasets/OrderLab/distdebug-bench) for
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+ the list.
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @inproceedings{jiang2026distdebugbench,
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+ title = {{DistDebug-Bench}: Can {LLM} Agents Diagnose Bugs in Distributed Systems?},
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+ 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},
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+ booktitle = {Advances in Neural Information Processing Systems (NeurIPS), Evaluations and Datasets Track},
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+ year = {2026}
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+ }
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+ ```
configs.json ADDED
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