Release full MET-Bench Shell Game dataset

LICENSE

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+MIT License
+
+Copyright (c) 2026 MET-Bench authors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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 ---
 license: mit
+pretty_name: MET-Bench Shell Game
+language:
+- en
+tags:
+- multimodal
+- entity-tracking
+- reasoning
+- synthetic
+- rlvr
+size_categories:
+- 10K<n<100K
+configs:
+- config_name: full
+  default: true
+  data_files:
+  - split: train
+    path: full-train.parquet
+  - split: validation
+    path: full-validation.parquet
+  - split: test
+    path: full-test.parquet
 ---
+
+# MET-Bench: Multimodal Entity Tracking for Evaluating the Limitations of Vision-Language and Reasoning Models
+
+**Vanya Cohen and Raymond Mooney · ICML 2026**
+
+[Paper](https://arxiv.org/abs/2502.10886) · [Publication page](https://www.cs.utexas.edu/~ai-lab/pub-view.php?PubID=128116) · [Load the dataset](#usage) · [Citation](#citation)
+
+**Domains:** [Chess](https://huggingface.co/datasets/vanyacohen/MET-Bench-Chess) · [Shell Game](https://huggingface.co/datasets/vanyacohen/MET-Bench-Shell) · [Minecraft](https://huggingface.co/datasets/vanyacohen/MET-Bench-Minecraft)
+
+MET-Bench evaluates entity state tracking across text and image modalities. This repository contains the **Shell Game** domain.
+
+## Shell Game
+
+A ball is placed under one of three shells. The shells are swapped pairwise, and the goal is to track the ball's position through the sequence of swaps. The model receives the initial ball position and the actions, then predicts which shell contains the ball after the final swap.
+
+## Parallel text and image modalities
+
+Each trajectory has two parallel action sequences: **text-encoded actions** in `actions` and **image-encoded actions** in `image_actions`. The entries `actions[i]` and `image_actions[i]` describe the same swap at the same step. Either sequence, together with the initial ball position, provides the information needed to solve the task.
+
+| Representation | Field | Contents |
+|---|---|---|
+| Text | `actions` | Ordered text descriptions of the swaps. |
+| Image | `image_actions` | Images depicting the same swaps in the same order. |
+
+Both representations are stored together in each row and share the same `initial_state`, `states`, and `final_state`. Ball positions are integers from 1 to 3.
+
+Shell positions are numbered 1–3. A text action such as `1 swap 2` exchanges the contents of positions 1 and 2. In the corresponding image, green labels identify the two shells being swapped, while the ball remains hidden. The three possible pairs of positions correspond to three swap images.
+
+## Dataset splits
+
+We simulate repeated shell swaps to generate 56,000 trajectories, each containing 100 actions. Each trajectory includes the initial ball position, text and image representations of the actions, and the ground-truth ball position after every swap.
+
+| Configuration | Actions per example | Train | Validation | Test |
+|---|---:|---:|---:|---:|
+| `full` (default) | 100 | 50,000 | 1,000 | 5,000 |
+
+This release contains the full trajectories. The paper’s experiments use a subset of the data, deduplicated at the evaluated action-sequence length. The complete 100-action trajectories are disjoint across the released splits; shorter prefixes can be shared across splits.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("vanyacohen/MET-Bench-Shell", "full")
+example = dataset["test"][0]
+
+initial_state = example["initial_state"]
+text_actions = example["actions"]
+image_actions = example["image_actions"]  # decoded PIL images
+target = example["final_state"]
+```
+
+`final_state` contains the target ball position. `states` contains the complete sequence of ball positions, including the initial state.
+
+## Data fields
+
+The dataset is stored as Parquet files with text actions and embedded images in each row.
+
+| Field | Type | Description |
+|---|---|---|
+| `example_id` | string | Stable identifier for the split and row. |
+| `initial_state` | int64 | Initial ball position, numbered 1–3. |
+| `actions` | list of strings | Ordered swaps, e.g. `1 swap 2`. |
+| `image_actions` | list of Image | One embedded 400×400 PNG per swap, aligned with `actions`. |
+| `states` | list of int64 | Initial ball position followed by the position after each swap. |
+| `final_state` | int64 | Ball position after the final swap. |
+
+Each row contains 100 text actions, 100 images, and 101 states. Action `i`, represented by both `actions[i]` and `image_actions[i]`, takes the ball from `states[i]` to `states[i + 1]`. The first state equals `initial_state`, and the last state equals `final_state`.
+
+For illustration, a two-action trajectory starting at position 1 has:
+
+```python
+initial_state = 1
+actions = ["1 swap 2", "2 swap 3"]
+states = [1, 2, 3]
+final_state = 3
+```
+
+Its two images depict the same swaps in the same order. The released trajectories follow this structure with 100 actions each.
+
+## Citation
+
+```bibtex
+@inproceedings{cohen2026metbench,
+  title={MET-Bench: Multimodal Entity Tracking for Evaluating the Limitations of Vision-Language and Reasoning Models},
+  author={Cohen, Vanya and Mooney, Raymond},
+  booktitle={International Conference on Machine Learning},
+  year={2026},
+  url={https://arxiv.org/abs/2502.10886}
+}
+```
+
+## License
+
+[MIT](https://huggingface.co/datasets/vanyacohen/MET-Bench-Shell/blob/main/LICENSE).

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