README.md

---
license: apache-2.0
task_categories:
  - summarization
language:
  - en
---

# 📚 Clip-CC Dataset (Movie Clips Edition)

**Clip-CC** is a curated dataset of 200 movie clips sourced from YouTube, each paired with a human-written summary and each video clipped to 1 minute and 30 second. It is designed for tasks such as video summarization, multimodal learning, and video-language alignment using real-world entertainment content.

---


## 📑 Table of Contents

- [Dataset Summary](#dataset-summary)
- [Use Cases](#use-cases)
- [Dataset Structure](#dataset-structure)
- [Usage](#usage)
- [Disclaimers](#disclaimers)

---

## Dataset Summary

- 🎥 200 movie clips from well-known films
- 📺 Each clip is referenced via a YouTube link
- 📝 Each clip includes a human-written summary describing the scene
- 💾 All metadata is stored in a .jsonl file (metadata.jsonl)


---


## Use Cases

- Video summarization and caption generation
- Vision-Language alignment
- Video QA and downstream educational AI tasks
- Fine-tuning multimodal models (e.g., Flamingo, Video-BERT, LLaVA)

---

## Dataset Structure

Each entry has:

| Field      | Description                              |
|------------|------------------------------------------|
| `id`       | Unique ID, e.g., `001`                   |
| `file_link`| YouTube link to the movie clip             |
| `summary`  | Human-written summary of video content   |

### Example

```json
{
  "id": "001",
  "file_link": "https://www.youtube.com/watch?v=zRFatzj_5do",
  "summary": "A musical performance scene from Pitch Perfect showcasing a lively rendition of 'I've Got the Magic in Me'."
}
```
---


## Usage

```code
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("IVSL-SDSU/Clip-CC")

# If the above code throws a path issue then upgrade the datasets and fsspec packages

# Access a sample entry
print(dataset["train"][0])
```

### Sample Output

```json

{
  "id": "001",
 "file_link": "https://www.youtube.com/watch?v=-yyoLJuNIJU",
 "summary": "The video begins with a bespectacled man in a white shirt driving a car while speaking. The camera cuts to a black sedan driving down the street, with someone in the passenger seat firing a weapon out of the window. The scene transitions back to the bespectacled man, who now appears increasingly restless. A man in a yellow suit occupies the passenger seat, and there seems to be another individual in the backseat. The focus shifts to the street, where a turquoise sedan is being pursued by the black sedan. A passenger in the black sedan continues firing. The camera returns to the bespectacled man, who is driving anxiously, and pans to the man in the yellow suit as he opens the glove box and retrieves an object. It is revealed to be a gun, which he holds in his hand. The bespectacled man, appearing frustrated, speaks while driving. The two men argue loudly as the camera alternates between them. The turquoise sedan is shown speeding down the street, with pedestrians taking cover. Meanwhile, the black sedan continues its pursuit. The camera briefly focuses on a man wearing a hat in the backseat of the black sedan, who is yelling. It then pans back to the man in the yellow suit, now seen with his feet up on the dashboard, as the vehicles race through the streets. The focus shifts again to the turquoise sedan, capturing both its interior and exterior. Inside the car, the bespectacled man and the man in the yellow suit switch places, with the latter now taking the driver’s seat. The windshield wipers move back and forth as the turquoise sedan continues down the road. The bespectacled man, now in the passenger seat, fires a weapon toward the pursuing black sedan. In the backseat, the man with the hat is shown screaming. The camera returns to the black sedan, where the passenger leans out of the window and continues firing. Meanwhile, the man in the yellow suit, visibly anxious, drives the turquoise sedan while speaking. The street view changes, showing a blue sedan on the left of the turquoise sedan. A side angle shot captures the speeding vehicles, followed by an aerial perspective of the chase. The focus shifts to a black sedan parked in the middle of the street. Inside the turquoise sedan, the bespectacled man and the man in the yellow suit are seen arguing. The scene transitions to a video game-like mode, displaying speed annotations (in mph) and a score in the top-right corner. The video game perspective shows the street, including pedestrians on the curb. The camera then captures the turquoise sedan from the perspective of a man in sunglasses inside a parked car. This man, holding a gun, begins firing while another individual occupies the driver’s seat. The turquoise sedan swerves erratically, driving on the wrong side of the road and drifting uncontrollably. Inside, the man with the hat lies in the backseat, screaming. The focus shifts to two black sedans. One of them speeds past a black sedan parked in the middle of the street, running a red light in the process. The chase intensifies as the black sedan pulls up parallel to the turquoise sedan on its left. Inside the turquoise sedan, the man in the yellow suit turns the steering wheel sharply toward the black sedan.  The camera captures a red SUV parked on the right side of the street, with a man in a white shirt standing nearby on the curb. The black sedan crashes into the red SUV, causing an explosion and shattering glass. The bespectacled man, now in the passenger seat of the turquoise sedan, looks back at the scene, while the man in the yellow suit continues driving. The video concludes with a shot of the turquoise sedan speeding down the street as the black sedan, engulfed in flames, is shown mid-air."
 }
```
---


### Disclaimers

- The Clip-CC dataset contains references (via YouTube links) to publicly available movie clips. No video files are hosted or redistributed through this dataset—only links to existing content on YouTube are included.

- All rights to the original video content remain with their respective copyright holders.

- The dataset is intended for research and educational purposes only, such as evaluating video summarization models, vision-language alignment, or building multimodal benchmarks.

- Users of this dataset are responsible for ensuring their usage complies with local laws and platform terms of service, including YouTube's Terms of Service.

- If you're a copyright holder and believe any content should not be referenced in this dataset, please reach out through the appropriate platform.