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stringclasses
7 values
llm_name
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benchmark_name
stringclasses
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trace_id
int64
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205
trace
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mast_annotation
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ChatDev
GPT-4o
ProgramDev
0
{"key":"ChatDev_ProgramDev_GPT4o","index":0,"trajectory":"[2025-31-03 19:09:41 INFO] **[Preprocessin(...TRUNCATED)
{"1.1":0,"1.2":0,"1.3":0,"1.4":0,"1.5":0,"2.1":0,"2.2":0,"2.3":0,"2.4":0,"2.5":0,"2.6":0,"3.1":0,"3.(...TRUNCATED)
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ProgramDev
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{"key":"ChatDev_ProgramDev_GPT4o","index":1,"trajectory":"[2025-31-03 19:30:18 INFO] **[Preprocessin(...TRUNCATED)
{"1.1":0,"1.2":0,"1.3":0,"1.4":0,"1.5":0,"2.1":0,"2.2":0,"2.3":0,"2.4":0,"2.5":0,"2.6":0,"3.1":0,"3.(...TRUNCATED)
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ProgramDev
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{"key":"ChatDev_ProgramDev_GPT4o","index":2,"trajectory":"[2025-31-03 19:48:48 INFO] **[Preprocessin(...TRUNCATED)
{"1.1":0,"1.2":0,"1.3":0,"1.4":0,"1.5":0,"2.1":0,"2.2":0,"2.3":0,"2.4":0,"2.5":0,"2.6":0,"3.1":0,"3.(...TRUNCATED)
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{"key":"ChatDev_ProgramDev_GPT4o","index":3,"trajectory":"[2025-31-03 20:04:23 INFO] **[Preprocessin(...TRUNCATED)
{"1.1":0,"1.2":0,"1.3":0,"1.4":0,"1.5":0,"2.1":0,"2.2":1,"2.3":1,"2.4":0,"2.5":0,"2.6":0,"3.1":0,"3.(...TRUNCATED)
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ProgramDev
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{"key":"ChatDev_ProgramDev_GPT4o","index":4,"trajectory":"[2025-31-03 20:15:44 INFO] **[Preprocessin(...TRUNCATED)
{"1.1":0,"1.2":0,"1.3":0,"1.4":0,"1.5":0,"2.1":0,"2.2":0,"2.3":0,"2.4":0,"2.5":0,"2.6":0,"3.1":0,"3.(...TRUNCATED)
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ProgramDev
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{"key":"ChatDev_ProgramDev_GPT4o","index":5,"trajectory":"[2025-31-03 20:40:53 INFO] **[Preprocessin(...TRUNCATED)
{"1.1":1,"1.2":0,"1.3":0,"1.4":0,"1.5":0,"2.1":0,"2.2":0,"2.3":0,"2.4":0,"2.5":0,"2.6":1,"3.1":0,"3.(...TRUNCATED)
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ProgramDev
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{"key":"ChatDev_ProgramDev_GPT4o","index":6,"trajectory":"[2025-31-03 20:46:17 INFO] **[Preprocessin(...TRUNCATED)
{"1.1":1,"1.2":0,"1.3":0,"1.4":0,"1.5":0,"2.1":0,"2.2":0,"2.3":0,"2.4":0,"2.5":0,"2.6":0,"3.1":0,"3.(...TRUNCATED)
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{"key":"ChatDev_ProgramDev_GPT4o","index":7,"trajectory":"[2025-31-03 20:55:23 INFO] **[Preprocessin(...TRUNCATED)
{"1.1":0,"1.2":0,"1.3":1,"1.4":0,"1.5":0,"2.1":0,"2.2":0,"2.3":0,"2.4":0,"2.5":0,"2.6":0,"3.1":0,"3.(...TRUNCATED)
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{"key":"ChatDev_ProgramDev_GPT4o","index":8,"trajectory":"[2025-31-03 21:05:25 INFO] **[Preprocessin(...TRUNCATED)
{"1.1":1,"1.2":0,"1.3":1,"1.4":0,"1.5":1,"2.1":0,"2.2":1,"2.3":1,"2.4":1,"2.5":1,"2.6":1,"3.1":1,"3.(...TRUNCATED)
ChatDev
GPT-4o
ProgramDev
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{"key":"ChatDev_ProgramDev_GPT4o","index":9,"trajectory":"[2025-31-03 21:19:38 INFO] **[Preprocessin(...TRUNCATED)
{"1.1":0,"1.2":0,"1.3":0,"1.4":0,"1.5":0,"2.1":0,"2.2":0,"2.3":0,"2.4":0,"2.5":0,"2.6":0,"3.1":0,"3.(...TRUNCATED)
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MAD: Multi-Agent System Traces Dataset

Execution traces from multi-agent systems (MAS), annotated with the Multi-Agent Systems Failure Taxonomy (MAST). Each record gives the MAS, the LLM behind it, the benchmark task, the full trace, and binary annotations for the 14 MAST failure modes.

Code: https://github.com/multi-agent-systems-failure-taxonomy/MAST

1642 traces · 7 MAS frameworks · 8 benchmarks · 5 LLMs.

Files

file rows
MAD_full_dataset.json 1642 traces with MAST annotations
MAD_human_labelled_dataset.json 19 inter-annotator agreement study, 3 annotators

Schema

field type
mas_name string AG2, MetaGPT, ChatDev, Magentic, AppWorld, HyperAgent, OpenManus
llm_name string GPT-4o, Claude, GPT-4o-mini, Qwen, CodeLlama
benchmark_name string ProgramDev, ProgramDev-v2, GSM, Olympiad, GAIA, MMLU, Test-C, SWE-Bench-Lite
trace_id int index within its config
trace dict {key, index, trajectory}
mast_annotation dict 14 codes → 1, 0, or null where the annotation is unavailable

Taxonomy

Specification1.1 Disobey Task Specification · 1.2 Disobey Role Specification · 1.3 Step Repetition · 1.4 Loss of Conversation History · 1.5 Unaware of Termination Conditions

Inter-Agent Misalignment2.1 Conversation Reset · 2.2 Fail to Ask for Clarification · 2.3 Task Derailment · 2.4 Information Withholding · 2.5 Ignored Other Agent's Input · 2.6 Reasoning-Action Mismatch

Task Verification3.1 Premature Termination · 3.2 No or Incomplete Verification · 3.3 Incorrect Verification

Notes

Annotations are produced by an LLM judge, not by human labelling.

In MAD_human_labelled_dataset.json, each round uses a different revision of the taxonomy (18, 17, 17 and 14 modes) and the codes are not comparable across rounds.

Citation

@inproceedings{cemri2025mast,
  title     = {Why Do Multi-Agent LLM Systems Fail?},
  author    = {Cemri, Mert and Pan, Melissa Z. and Yang, Shuyi and Agrawal, Lakshya A. and Chopra, Bhavya and Tiwari, Rishabh and Keutzer, Kurt and Parameswaran, Aditya and Klein, Dan and Ramchandran, Kannan and Zaharia, Matei and Gonzalez, Joseph E. and Stoica, Ion},
  booktitle = {Advances in Neural Information Processing Systems},
  year      = {2025}
}
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