| | --- |
| | license: cc-by-4.0 |
| | task_categories: |
| | - video-classification |
| | - robotics |
| | language: |
| | - en |
| | tags: |
| | - screen-recording |
| | - computer-use |
| | - software-tutorials |
| | - gui |
| | - desktop |
| | size_categories: |
| | - 10K<n<100K |
| | configs: |
| | - config_name: autocad |
| | data_files: |
| | - split: train |
| | path: |
| | - data/autocad/* |
| | - data/autocad_2/* |
| | - config_name: blender |
| | data_files: |
| | - split: train |
| | path: |
| | - data/blender/* |
| | - data/blender_2/* |
| | - config_name: excel |
| | data_files: |
| | - split: train |
| | path: data/excel/* |
| | - config_name: photoshop |
| | data_files: |
| | - split: train |
| | path: |
| | - data/photoshop/* |
| | - data/photoshop_2/* |
| | - config_name: salesforce |
| | data_files: |
| | - split: train |
| | path: data/salesforce/* |
| | - config_name: vscode |
| | data_files: |
| | - split: train |
| | path: data/vscode/* |
| | --- |
| | |
| | # Computer Use Large |
| |
|
| | A large-scale dataset of **48,478 screen recording videos** (~12,300 hours) of professional software being used, sourced from the internet. All videos have been trimmed to remove non-screen-recording content (intros, outros, talking heads, transitions) and audio has been stripped. |
| |
|
| | ## Dataset Summary |
| |
|
| | | Category | Videos | Hours | |
| | |---|---|---| |
| | | AutoCAD | 10,059 | 2,149 | |
| | | Blender | 11,493 | 3,624 | |
| | | Excel | 8,111 | 2,002 | |
| | | Photoshop | 10,704 | 2,060 | |
| | | Salesforce | 7,807 | 2,336 | |
| | | VS Code | 304 | 127 | |
| | | **Total** | **48,478** | **~12,300** | |
| |
|
| | ## Data Fields |
| |
|
| | Each folder contains a `metadata.jsonl` file with the following fields per video: |
| |
|
| | | Field | Type | Description | |
| | |---|---|---| |
| | | `file_name` | string | Filename of the video (e.g. `abc123.mp4`) | |
| | | `category` | string | Software category | |
| | | `trimmed_duration` | float | Duration of the video in seconds | |
| | | `num_segments` | int | Number of contiguous screen recording segments | |
| |
|
| | ## Data Organization |
| |
|
| | Videos are stored under `data/{category}/` with a `metadata.jsonl` per folder. Due to HuggingFace's 10,000 file per directory limit, some categories are split across two folders (e.g. `blender/` and `blender_2/`). |
| |
|
| | ``` |
| | data/ |
| | autocad/ (9,999 videos + metadata.jsonl) |
| | autocad_2/ (60 videos + metadata.jsonl) |
| | blender/ (9,999 videos + metadata.jsonl) |
| | blender_2/ (1,494 videos + metadata.jsonl) |
| | excel/ (8,111 videos + metadata.jsonl) |
| | photoshop/ (9,999 videos + metadata.jsonl) |
| | photoshop_2/ (705 videos + metadata.jsonl) |
| | salesforce/ (7,807 videos + metadata.jsonl) |
| | vscode/ (304 videos + metadata.jsonl) |
| | ``` |
| |
|
| | ## Usage |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | # Load a specific category |
| | ds = load_dataset("markov-ai/computer-use-large", "blender") |
| | |
| | # Load all categories |
| | ds = load_dataset("markov-ai/computer-use-large") |
| | ``` |
| |
|
| | ## Intended Use |
| |
|
| | This dataset is designed for training and evaluating computer use agents — models that interact with desktop software through GUI actions (clicking, typing, scrolling). The screen recordings provide demonstrations of real software workflows across diverse applications. |
| |
|
| | ## License |
| |
|
| | CC-BY-4.0 |
| |
|
