Add dataset card with coming soon notice, metadata, and links

README.md

@@ -1,3 +1,74 @@
----
-license: apache-2.0
----
+---
+license: cc-by-4.0
+task_categories:
+  - video-classification
+  - video-text-to-text
+  - object-detection
+tags:
+  - egocentric-video
+  - mistake-detection
+  - temporal-localization
+  - video-language-grounding
+  - hand-object-interaction
+  - action-recognition
+  - procedural-activities
+  - semantic-role-labeling
+  - ego4d
+  - epic-kitchens
+  - point-of-no-return
+  - cvpr2026
+pretty_name: MATT-Bench
+size_categories:
+  - 100K<n<1M
+---
+
+# MATT-Bench
+
+> **Dataset coming soon.** We are preparing the data for public release. Stay tuned!
+
+**Mistake Attribution: Fine-Grained Mistake Understanding in Egocentric Videos** (CVPR 2026)
+
+## Overview
+
+MATT-Bench provides two large-scale benchmarks for **Mistake Attribution (MATT)** — a task that goes beyond binary mistake detection to attribute *what* semantic role was violated, *when* the mistake became irreversible (Point-of-No-Return), and *where* the mistake occurred in the frame.
+
+The benchmarks are constructed by **MisEngine**, a data engine that automatically creates mistake samples with attribution-rich annotations from existing egocentric action datasets:
+
+| Dataset | Samples | Instruction Texts | Semantic | Temporal | Spatial |
+|---|---|---|---|---|---|
+| **Ego4D-M** | 257,584 | 16,099 | ✓ | ✓ | ✓ |
+| **EPIC-KITCHENS-M** | 221,094 | 12,283 | ✓ | — | — |
+
+These are at least **two orders of magnitude larger** than any existing mistake dataset.
+
+## Annotations
+
+Each sample consists of an instruction text and an attempt video, annotated with:
+
+- **Semantic Attribution**: Which semantic role (predicate, object) in the instruction is violated in the attempt video
+- **Temporal Attribution**: The Point-of-No-Return (PNR) frame where the mistake becomes irreversible (Ego4D-M)
+- **Spatial Attribution**: Bounding box localizing the mistake region in the PNR frame (Ego4D-M)
+
+## Links
+
+- [Paper (arXiv)](https://arxiv.org/abs/2511.20525)
+- [Code (GitHub)](https://github.com/yayuanli/MATT)
+- [Project Page](https://yayuanli.github.io/MATT/)
+
+## Authors
+
+- [Yayuan Li](https://www.linkedin.com/in/yayuan-li-148659272/) — University of Michigan
+- [Aadit Jain](https://www.linkedin.com/in/jain-aadit/) — University of Michigan
+- [Filippos Bellos](https://www.linkedin.com/in/filippos-bellos-168595156/) — University of Michigan
+- [Jason J. Corso](https://www.linkedin.com/in/jason-corso/) — University of Michigan, Voxel51
+
+## Citation
+
+```bibtex
+@inproceedings{li2026mistakeattribution,
+  title     = {Mistake Attribution: Fine-Grained Mistake Understanding in Egocentric Videos},
+  author    = {Li, Yayuan and Jain, Aadit and Bellos, Filippos and Corso, Jason J.},
+  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year      = {2026},
+}
+```