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---
pretty_name: Mental Models for Multi-Agent Systems
language:
- en
- zh
license: other
license_name: mixed-cc-by-4.0-mit-apache-2.0
task_categories:
- text-generation
- question-answering
- visual-question-answering
tags:
- theory-of-mind
- multi-agent
- mental-modeling
- social-reasoning
- role-playing
configs:
- config_name: sotopia-turn-rewards
default: true
data_files:
- split: train
path: data/sotopia/sotopia_turn_rewards_v3.jsonl
- config_name: sotopia-mental-personas
data_files:
- split: train
path: data/sotopia/mental_model_persona_dataset.jsonl
- config_name: bigtom
data_files:
- split: train
path: data/bigtom/bigtom_qwen_5k_annotated.jsonl
- config_name: mmrole-belief
data_files:
- split: train
path: data/mmrole/train/belief_prediction.jsonl
- split: validation
path: data/mmrole/val/belief_prediction.jsonl
- split: test_in
path: data/mmrole/test_in/belief_prediction.jsonl
- split: test_out
path: data/mmrole/test_out/belief_prediction.jsonl
- split: test_official
path: data/mmrole/official_test/belief_prediction.jsonl
- config_name: mmrole-preference
data_files:
- split: train
path: data/mmrole/train/preference_pairs.jsonl
- split: validation
path: data/mmrole/val/preference_pairs.jsonl
- split: test_in
path: data/mmrole/test_in/preference_pairs.jsonl
- split: test_out
path: data/mmrole/test_out/preference_pairs.jsonl
- split: test_official
path: data/mmrole/official_test/preference_pairs.jsonl
- config_name: mmrole-salience
data_files:
- split: train
path: data/mmrole/train/salience_prediction.jsonl
- split: validation
path: data/mmrole/val/salience_prediction.jsonl
- split: test_in
path: data/mmrole/test_in/salience_prediction.jsonl
- split: test_out
path: data/mmrole/test_out/salience_prediction.jsonl
- split: test_official
path: data/mmrole/official_test/salience_prediction.jsonl
- config_name: mmrole-probe-qa
data_files:
- split: train
path: data/mmrole/train/probe_qa.jsonl
- split: validation
path: data/mmrole/val/probe_qa.jsonl
- split: test_in
path: data/mmrole/test_in/probe_qa.jsonl
- split: test_out
path: data/mmrole/test_out/probe_qa.jsonl
- split: test_official
path: data/mmrole/official_test/probe_qa.jsonl
- config_name: mmrole-raw-annotations
data_files:
- split: train
path: data/mmrole/train/raw_annotated.jsonl
- split: validation
path: data/mmrole/val/raw_annotated.jsonl
- split: test_in
path: data/mmrole/test_in/raw_annotated.jsonl
- split: test_out
path: data/mmrole/test_out/raw_annotated.jsonl
- config_name: mmrole-raw-official
data_files:
- split: test
path: data/mmrole/official_test/raw_annotated.jsonl
- config_name: mmrole-reward-belief
data_files:
- split: train
path: data/mmrole/train/belief_prediction_mmrole_reward_openai.jsonl
- split: validation
path: data/mmrole/val/belief_prediction_mmrole_reward_openai.jsonl
- split: test_in
path: data/mmrole/test_in/belief_prediction_mmrole_reward_openai.jsonl
- config_name: mmrole-reward-preference
data_files:
- split: train
path: data/mmrole/train/preference_pairs_mmrole_reward_openai.jsonl
- split: validation
path: data/mmrole/val/preference_pairs_mmrole_reward_openai.jsonl
- split: test_in
path: data/mmrole/test_in/preference_pairs_mmrole_reward_openai.jsonl
---
# Mental Model Annotation Dataset
## Dataset for *Mental Models for Multi-Agent Systems*
This is the official annotation release accompanying the NeurIPS 2026 paper
***Mental Models for Multi-Agent Systems***.
**Paper resources:** [Project page](https://hananshafi.github.io/Mental-Models/)
| [Code](https://github.com/hananshafi/Mental-Models) | Paper and arXiv links
will be added upon release.
The paper studies explicit, recursive mental representations for multi-agent
decision-making. This dataset contains the mental-state, reward, rationale, and
preference supervision used for its SOTOPIA, BigToM, and MMRole experiments.
The files augment these established benchmarks; they are not a new replacement
for the original benchmark datasets. Independent configurations preserve each
benchmark's schema and remain compatible with the Hugging Face Dataset Viewer.
## Contents
| Benchmark | Configuration | Contents |
|---|---|---|
| SOTOPIA | `sotopia-turn-rewards` | 1,647 interaction episodes with 16,166 turn-level reward records and mental-state supervision |
| SOTOPIA | `sotopia-mental-personas` | 500 mental-model persona examples |
| BigToM | `bigtom` | 9,964 annotated conditions from 4,982 paired scenarios |
| MMRole | `mmrole-belief` | First- and second-order belief targets |
| MMRole | `mmrole-preference` | Preferred responses and hard negatives |
| MMRole | `mmrole-salience` | Visual perspective and salience targets |
| MMRole | `mmrole-probe-qa` | Theory-of-Mind diagnostic questions |
| MMRole | `mmrole-raw-annotations` | Full validated mental-state annotations |
| MMRole | `mmrole-raw-official` | Official test annotations and test metadata |
| MMRole | `mmrole-reward-belief` | Belief examples with eight-dimensional reward labels |
| MMRole | `mmrole-reward-preference` | Preference pairs with eight-dimensional reward labels |
## Loading
```python
from datasets import load_dataset
sotopia = load_dataset(
"hanangani/Mental-Model-Annotation-Dataset",
"sotopia-turn-rewards",
)
bigtom = load_dataset("hanangani/Mental-Model-Annotation-Dataset", "bigtom")
mmrole = load_dataset("hanangani/Mental-Model-Annotation-Dataset", "mmrole-belief")
```
Download the original files without schema conversion when using the released
training scripts:
```bash
hf download hanangani/Mental-Model-Annotation-Dataset \
--repo-type dataset \
--local-dir Mental-Models-data
```
## MMRole images
This repository does not duplicate MMRole's 11,032 source images. MMRole rows
retain the upstream `image` and `image_local` references. Download the images
from [`YanqiDai/MMRole_dataset`](https://huggingface.co/datasets/YanqiDai/MMRole_dataset)
and follow its instructions for any referenced MS-COCO files.
## Validation
All released JSONL records were parsed before upload. `MANIFEST.json` records
the row count, byte size, and SHA-256 checksum of every staged file. Temporary
files, failed annotation attempts, smoke tests, model checkpoints, and API
credentials are excluded.
## Sources and licenses
This is a derived, mixed-source research dataset. See
[`DATA_SOURCES.md`](DATA_SOURCES.md) for provenance, upstream licenses, and
redistribution notes. No additional rights are granted for upstream content.
## Citation
```bibtex
@inproceedings{gani2026mentalmodels,
title = {Mental Models for Multi-Agent Systems},
author = {Gani, Hanan and Shao, Lulu and Chandraker, Manmohan},
booktitle = {Advances in Neural Information Processing Systems},
year = {2026}
}
```