---
license: other
library_name: numpy
tags:
  - robotics
  - embodied-ai
  - multimodal
  - ropedia
  - xperience-10m
  - baseline
  - linear-model
  - retrieval
metrics:
  - accuracy
  - f1
  - mean-reciprocal-rank
  - mean-squared-error
model-index:
  - name: Ropedia Minimal Task Baselines
    results:
      - task:
          type: robotics
          name: Cross-modal retrieval
        dataset:
          type: ropedia-ai/xperience-10m-sample
          name: Xperience-10M public sample episode
        metrics:
          - type: top_5_accuracy
            value: 0.3764
            name: top-5 retrieval accuracy
          - type: mrr
            value: 0.2634
            name: mean reciprocal rank
      - task:
          type: robotics
          name: Transition detection
        dataset:
          type: ropedia-ai/xperience-10m-sample
          name: Xperience-10M public sample episode
        metrics:
          - type: f1
            value: 0.6552
            name: macro-F1
---

# Ropedia Minimal Task Baselines

This repo stores the minimal baseline weights and metrics for the 12-task Ropedia episode suite.

These are intentionally small, transparent baselines:

- z-score + linear softmax classifiers,
- dual ridge regression/projection heads,
- sigmoid multi-label logistic regression,
- cosine ranking for retrieval tasks.

They are not deep robot policies or foundation models. Their purpose is to make every input/output contract auditable before scaling to many episodes.

## Included

- `artifacts/**/model.npz`: minimal baseline weights, scalers, and labels
- `artifacts/**/metrics.json`: committed metrics
- `artifacts/**/feature_manifest.json`: feature block boundaries where relevant
- `scripts/*.py`: training and visualization scripts
- `notes/*.md`: interpretation and reproducibility notes

The companion artifact dataset repo stores CSV/JSON predictions and dashboard assets:

https://huggingface.co/datasets/cy0307/ropedia-episode-task-suite-artifacts

The public visual dashboard is here:

https://huggingface.co/spaces/cy0307/ropedia-episode-task-suite

## Minimal Architecture

![Minimal 12-task architecture](assets/task_architectures.svg)

## Metrics Snapshot

| Task | Minimal head | Main metric |
| --- | --- | ---: |
| `timeline_action` | linear softmax | 0.0500 macro-F1 |
| `timeline_subtask` | linear softmax | 0.0495 macro-F1 |
| `transition_detection` | linear softmax | 0.6552 macro-F1 |
| `next_action` | linear softmax | 0.0593 macro-F1 |
| `hand_trajectory_forecast` | ridge regression | 0.8223 MPJPE |
| `contact_prediction` | linear softmax | 1.0000 macro-F1 |
| `object_relevance` | multi-label logistic | 0.1839 micro-F1 |
| `caption_grounding` | ridge + cosine rank | 0.0172 MRR |
| `cross_modal_retrieval` | ridge + cosine rank | 0.3764 top-5 |
| `modality_reconstruction` | ridge regression | -0.0160 R2 |
| `temporal_order` | binary softmax | 0.5487 F1 |
| `misalignment_detection` | binary softmax | 0.4866 F1 |

## Data Notice

This repo does not redistribute raw Ropedia videos or raw `annotation.hdf5`. Download the original sample from Ropedia / Hugging Face and follow the dataset terms:

- https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample
- https://ropedia.com/dataset

## Source

GitHub:

https://github.com/ChaoYue0307/ropedia-episode-task-suite