---
language:
- en
pretty_name: "Ego Mistake Corrections Benchmark"
license: other
task_categories:
- video-text-to-text
tags:
- streaming
- video
- text
- multimodal
- cooking
annotations_creators:
- expert-generated
multilinguality: monolingual
source_datasets:
- original
size_categories:
- 1K<n<10K
configs:
- config_name: default
  data_files:
  - split: test
    path: annotations/annotations.json
dataset_info:
- config_name: default
  features:
  - name: video_id
    dtype: string
  - name: texts
    sequence: string
  - name: text_types
    sequence: string
  - name: text_timestamps
    sequence: float64
  splits:
  - name: test
    num_examples: 40
---

# Ego Mistake Corrections Benchmark (Ego-MC-Bench)

## Description

This dataset contains cooking videos with timestamped instruction and feedback for task guidance.

Each row corresponds to one video and provides aligned lists of utterance text, utterance type, and timestamp.

## Dataset Details

Release files:
- `annotations/annotations.json`
- `videos/*.MP4`

Release statistics:
- Total videos: 40
- Total released annotations: 1,597

Text type counts in `annotations_release.json`:
- `Instruction`: 562
- `Success`: 560
- `Feedback`: 397
- `Instruction-Clarification`: 26
- `User-Question`: 22
- `User-Comment`: 30

## Dataset Collection Process

Annotations are timestamped and aligned with each video. They are manually annotated.

## Data Format

Each row in `annotations.json` has schema:

```json
{
  "video_id": "GX010021",
  "texts": [
    "Let's first preheat the oven to 350 degrees Fahrenheit.",
    "Great Job!"
  ],
  "text_types": [
    "Instruction",
    "Success"
  ],
  "text_timestamps": [
    4.418,
    15.982
  ]
}
```

Video asset for a sample `video_id`:
- `videos/<video_id>.MP4`

## Usage

```python
from datasets import load_dataset

ds = load_dataset("neuripsedtracksub/ego-mistake-corrections", split="test")

row = ds[0]
video_id = row["video_id"]
texts = row["texts"]
text_types = row["text_types"]
text_timestamps = row["text_timestamps"]

# Video path convention:
# f"videos/{video_id}.MP4"
```

## Dataset License

This dataset is released for research purposes only.