Datasets:
video_id stringclasses 1
value | step int32 0 9 | system stringclasses 1
value | user stringclasses 10
values | assistant stringclasses 10
values | image imagewidth (px) 1.3k 1.3k |
|---|---|---|---|---|---|
video_001 | 0 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 1: open_url(url="https://www.linkedin.com/")
| <think>
This frame pair shows the execution of the atomic task: 'Step 1: open_url(url="https://www.linkedin.com/")'.
The task starts at timestamp 0s (before) and is completed by timestamp 2s (after).
The corresponding high-level action is captured in the code block.
</think>
<code>
open_url(url="https://www.linkedin.co... | |
video_001 | 1 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 2: click(element_description="Start a post button")
| <think>
This frame pair shows the execution of the atomic task: 'Step 2: click(element_description="Start a post button")'.
The task starts at timestamp 17s (before) and is completed by timestamp 18s (after).
The corresponding high-level action is captured in the code block.
</think>
<code>
click(element_description="S... | |
video_001 | 2 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 3: type_text(element_description="post text area", text="...")
| <think>
This frame pair shows the execution of the atomic task: 'Step 3: type_text(element_description="post text area", text="...")'.
The task starts at timestamp 18s (before) and is completed by timestamp 22s (after).
The corresponding high-level action is captured in the code block.
</think>
<code>
type_text(element... | |
video_001 | 3 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 4: click(element_description="Post button")
| <think>
This frame pair shows the execution of the atomic task: 'Step 4: click(element_description="Post button")'.
The task starts at timestamp 22s (before) and is completed by timestamp 23s (after).
The corresponding high-level action is captured in the code block.
</think>
<code>
click(element_description="Post butt... | |
video_001 | 4 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 5: open_url(url="https://www.gmail.com/")
| <think>
This frame pair shows the execution of the atomic task: 'Step 5: open_url(url="https://www.gmail.com/")'.
The task starts at timestamp 88s (before) and is completed by timestamp 90s (after).
The corresponding high-level action is captured in the code block.
</think>
<code>
open_url(url="https://www.gmail.com/")... | |
video_001 | 5 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 6: click(element_description="Compose button")
| <think>
This frame pair shows the execution of the atomic task: 'Step 6: click(element_description="Compose button")'.
The task starts at timestamp 90s (before) and is completed by timestamp 92s (after).
The corresponding high-level action is captured in the code block.
</think>
<code>
click(element_description="Compos... | |
video_001 | 6 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 7: type_text(element_description="recipient field", text="khawajamuraddulhassan@gmail.com")
| <think>
This frame pair shows the execution of the atomic task: 'Step 7: type_text(element_description="recipient field", text="khawajamuraddulhassan@gmail.com")'.
The task starts at timestamp 92s (before) and is completed by timestamp 95s (after).
The corresponding high-level action is captured in the code block.
</th... | |
video_001 | 7 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 8: type_text(element_description="subject field", text="AI Engineer at Dummy Company")
| <think>
This frame pair shows the execution of the atomic task: 'Step 8: type_text(element_description="subject field", text="AI Engineer at Dummy Company")'.
The task starts at timestamp 95s (before) and is completed by timestamp 98s (after).
The corresponding high-level action is captured in the code block.
</think>
... | |
video_001 | 8 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 9: paste_text(element_description="email body", content="...")
| <think>
This frame pair shows the execution of the atomic task: 'Step 9: paste_text(element_description="email body", content="...")'.
The task starts at timestamp 98s (before) and is completed by timestamp 115s (after).
The corresponding high-level action is captured in the code block.
</think>
<code>
paste_text(eleme... | |
video_001 | 9 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 10: click(element_description="Send button")
| <think>
This frame pair shows the execution of the atomic task: 'Step 10: click(element_description="Send button")'.
The task starts at timestamp 115s (before) and is completed by timestamp 118s (after).
The corresponding high-level action is captured in the code block.
</think>
<code>
click(element_description="Send b... | |
video_001 | 0 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 1: open_url(url="https://www.linkedin.com/")
| <think>
This frame pair shows the execution of the atomic task: 'Step 1: open_url(url="https://www.linkedin.com/")'.
The task starts at timestamp 0s (before) and is completed by timestamp 2s (after).
The corresponding high-level action is captured in the code block.
</think>
<code>
open_url(url="https://www.linkedin.co... | |
video_001 | 1 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 2: click(element_description="Start a post button")
| <think>
This frame pair shows the execution of the atomic task: 'Step 2: click(element_description="Start a post button")'.
The task starts at timestamp 17s (before) and is completed by timestamp 18s (after).
The corresponding high-level action is captured in the code block.
</think>
<code>
click(element_description="S... | |
video_001 | 2 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 3: type_text(element_description="post text area", text="...")
| <think>
This frame pair shows the execution of the atomic task: 'Step 3: type_text(element_description="post text area", text="...")'.
The task starts at timestamp 18s (before) and is completed by timestamp 22s (after).
The corresponding high-level action is captured in the code block.
</think>
<code>
type_text(element... | |
video_001 | 3 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 4: click(element_description="Post button")
| <think>
This frame pair shows the execution of the atomic task: 'Step 4: click(element_description="Post button")'.
The task starts at timestamp 22s (before) and is completed by timestamp 23s (after).
The corresponding high-level action is captured in the code block.
</think>
<code>
click(element_description="Post butt... | |
video_001 | 4 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 5: open_url(url="https://www.gmail.com/")
| <think>
This frame pair shows the execution of the atomic task: 'Step 5: open_url(url="https://www.gmail.com/")'.
The task starts at timestamp 88s (before) and is completed by timestamp 90s (after).
The corresponding high-level action is captured in the code block.
</think>
<code>
open_url(url="https://www.gmail.com/")... | |
video_001 | 5 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 6: click(element_description="Compose button")
| <think>
This frame pair shows the execution of the atomic task: 'Step 6: click(element_description="Compose button")'.
The task starts at timestamp 90s (before) and is completed by timestamp 92s (after).
The corresponding high-level action is captured in the code block.
</think>
<code>
click(element_description="Compos... | |
video_001 | 6 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 7: type_text(element_description="recipient field", text="khawajamuraddulhassan@gmail.com")
| <think>
This frame pair shows the execution of the atomic task: 'Step 7: type_text(element_description="recipient field", text="khawajamuraddulhassan@gmail.com")'.
The task starts at timestamp 92s (before) and is completed by timestamp 95s (after).
The corresponding high-level action is captured in the code block.
</th... | |
video_001 | 7 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 8: type_text(element_description="subject field", text="AI Engineer at Dummy Company")
| <think>
This frame pair shows the execution of the atomic task: 'Step 8: type_text(element_description="subject field", text="AI Engineer at Dummy Company")'.
The task starts at timestamp 95s (before) and is completed by timestamp 98s (after).
The corresponding high-level action is captured in the code block.
</think>
... | |
video_001 | 8 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 9: paste_text(element_description="email body", content="...")
| <think>
This frame pair shows the execution of the atomic task: 'Step 9: paste_text(element_description="email body", content="...")'.
The task starts at timestamp 98s (before) and is completed by timestamp 115s (after).
The corresponding high-level action is captured in the code block.
</think>
<code>
paste_text(eleme... | |
video_001 | 9 | You are an AI assistant analyzing high-level user tasks from screen recordings. | Analyze the user's high-level task based on the 'before' and 'after' screenshots.
Task to Perform: Step 10: click(element_description="Send button")
| <think>
This frame pair shows the execution of the atomic task: 'Step 10: click(element_description="Send button")'.
The task starts at timestamp 115s (before) and is completed by timestamp 118s (after).
The corresponding high-level action is captured in the code block.
</think>
<code>
click(element_description="Send b... |
UI Automation Dataset (Multi-Video)
20 examples from 1 videos - UI automation tasks from screen recordings.
Dataset Structure
Each entry contains:
- video_id: Sequential ID for each video (video_001, video_002, etc.)
- step: Step number within that video (0, 1, 2, ...)
- system: System prompt for the GUI agent
- user: Task instruction + previous actions
- assistant: Model's reasoning and action
- image: Screenshot of the UI state
Usage
from datasets import load_dataset
ds = load_dataset("KMH158-QLU/recruiter_10steps_final")
# Access by video
for video_id in set(ds['train']['video_id']):
video_data = ds['train'].filter(lambda x: x['video_id'] == video_id)
print(f"Video {video_id}: {len(video_data)} steps")
# Or iterate all examples
for item in ds['train']:
print(f"{item['video_id']} - Step {item['step']}: {item['assistant'][:50]}...")
Growing Dataset
This dataset supports multiple videos. Each video gets a unique ID (video_001, video_002, etc.). New videos are automatically appended with the next available ID.
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