---
license: cc-by-nc-4.0
task_categories:
  - video-classification
  - visual-question-answering
language:
  - en
tags:
  - laboratory
  - life-science
  - protocol-compliance
  - egocentric-video
  - biology
  - wet-lab
size_categories:
  - n<1K
configs:
  - config_name: XMglass
    data_files:
      - path: XMglass/xm.csv
        split: train
  - config_name: DJI
    data_files:
      - path: DJI/dji.csv
        split: train
---

# LSV: LabSuperVision Benchmark

## Dataset Description

LSV is a multi-view video dataset of wet-lab biology experiments, captured from both **first-person** (XMglass smart glasses) and **third-person** (DJI action camera) perspectives. Each video records a researcher performing a laboratory protocol and is annotated with the corresponding protocol text, scene type, and—where applicable—deliberate procedural errors.

The dataset is designed for research on:
- **Protocol compliance monitoring** — detecting whether a procedure was followed correctly
- **Procedural error detection** — identifying specific deviations from standard protocols
- **Egocentric video understanding** — understanding lab activities from a first-person view
- **Video-language grounding** — linking protocol text to video segments

## Dataset Structure

```
LSV/
├── XMglass/
│   ├── xm.csv                # Metadata (90 entries)
│   ├── XMprotocol/            # Protocol text files (22 files)
│   └── XMvideo/               # Video files (105 files, ~75 GB)
├── DJI/
│   ├── dji.csv                # Metadata (161 entries)
│   ├── DJI-Protocol/          # Protocol text files (17 files)
│   └── DJI-Video/             # Video & image files (251 files, ~219 GB)
```

## Metadata Fields

Both CSV files share the following columns:

| Column | Description |
|--------|-------------|
| `Slice_ID` | Unique identifier (e.g., `XM_001`, `DJI-001`) |
| `Exp_ID` | Experiment group identifier |
| `Date` | Recording date |
| `Video Name` | Filename of the video/image |
| `Scene` | Recording location (`TC hood`, `bench`, `TC room`, `TC`) |
| `Operation` | Description of the procedure performed |
| `Protocol` | Filename of the corresponding protocol in the protocol folder |
| `Issue (if any)` | Description of intentional procedural errors, if present |
| `Length` | Duration of the video |
| `Time_stamp` | Timestamps of protocol steps within the video |
| `Tools` | Lab equipment used |

## Data Collection

### XMglass (First-Person View)
- **Device**: XM smart glasses with built-in camera
- **Entries**: 90 annotated video clips
- **Scenes**: Tissue culture (TC) hood, bench, TC room

### DJI (Third-Person View)
- **Device**: DJI action camera
- **Entries**: 161 (127 videos + 34 images)
- **Scenes**: TC hood, bench, TC room
- **Note**: Some experiments include paired first-person and third-person recordings of the same procedure

## Covered Procedures

The dataset covers a range of common molecular biology and cell culture techniques, including:

- Cell line passaging and seeding (HEK293T, iPSCs, cancer cell lines)
- Lentiviral packaging, collection, and infection
- CRISPR/Cas9 delivery
- PCR reaction setup and colony PCR
- Serial dilution
- DNA gel electrophoresis (E-gel loading)
- RNA extraction
- Cell freezing and thawing
- Restriction digestion, Gibson assembly, Golden Gate reaction
- Transformation
- MiniPrep and NanoDrop quantification
- FACS staining

## Error Annotations

Many videos include **deliberate procedural errors** with detailed descriptions. Examples:
- Skipping a pipetting step
- Not changing pipette tips between reagents
- Adding reagents in the wrong order
- Omitting incubation or mixing steps
- Forgetting to add a critical reagent

These error annotations enable benchmarking of automated protocol-compliance systems.

## Usage

```python
from datasets import load_dataset

# Load XMglass metadata
xm = load_dataset("YinkaiW/LSV", name="XMglass", split="train")

# Load DJI metadata
dji = load_dataset("YinkaiW/LSV", name="DJI", split="train")
```

## License

This dataset is released under the [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) license.