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README.md

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+---
+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: Laboratory Science Video Dataset
+
+## 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.