0xnirmal
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Parent(s):
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update README + add action previewer
Browse files- README.md +15 -5
- preview_tool.png +3 -0
README.md
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- `quest_type`: Application category (Sheets, Slides, Figma, Canva)
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- `profession`: User's professional background
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- `synthetically_generated_instruction`: Synthetically generated task instruction for training purposes. Represents the context of the full task.
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- `synthetically_generated_thought_metadata`: (Beta) Synthetically generated thoughts for each user step. Represents the thought of the current step.
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### Input Metadata Schema
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}
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```
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**Key fields:**
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- `relative_timestamp_ms`: Milliseconds since session start
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- `type`: Event type (click, input,
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- `x,y`: Screen coordinates (normalized for display resolution)
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- `screenshot_url`: URL to corresponding interface screenshot
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## Thought Metadata (Beta)
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An additional field, `synthetically_generated_thought_metadata`, is included to provide synthetically generated thoughts for each user step. This field is designed to enhance the dataset's utility for training reasoning VLMs like [UI-TARS 1.5](https://huggingface.co/ByteDance-Seed/UI-TARS-1.5-7B). It is not to be confused with `synthetically_generated_instruction`, which is the context of the full task.
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**Step Generation and Aggregation**
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- `quest_type`: Application category (Sheets, Slides, Figma, Canva)
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- `profession`: User's professional background
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- `synthetically_generated_instruction`: Synthetically generated task instruction for training purposes. Represents the context of the full task.
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- `synthetically_generated_thought_metadata`: (Beta) Synthetically generated thoughts for each user step. Represents the thought of the current step. Available by request.
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### Input Metadata Schema
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}
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```
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### Previewing the Data
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While the `video_url` is provided for completeness, it is often clunky to interact with `webm` files and it's impractical to leverage these for most use cases.
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The `input_metadata` is a much more convenient way to interact with the data, however it is not as easy to visualize. To solve this, we built an interactive preview tool, which takes the `input_metadata` and renders it frame-by-frame with corresponding actions.
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This can be found [here](https://admin.pango.so/actions-preview?url=https://pango-service-production.s3.us-east-1.amazonaws.com/finalized/bc50d07a-d11a-4c9c-9c5a-e5fdb6e85b5f/actions_v2.json) and it takes any valid `input_metadata` URL as input.
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**Key fields:**
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- `relative_timestamp_ms`: Milliseconds since session start
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- `type`: Event type (click, input, key_press, mouseover_start, mouseover_end, drag_start, drag_end, scroll)
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- `x,y`: Screen coordinates (normalized for display resolution)
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- `screenshot_url`: URL to corresponding interface screenshot
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- `text`: Text content for input events - only available on input events
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- `key_codes`: Keyboard key identifier (DOM KeyboardEvent codes) - only available on key_press events
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## Thought Metadata (Beta)
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An additional field, `synthetically_generated_thought_metadata`, is included to provide synthetically generated thoughts for each user step. This field is designed to enhance the dataset's utility for training reasoning VLMs like [UI-TARS 1.5](https://huggingface.co/ByteDance-Seed/UI-TARS-1.5-7B). It is not to be confused with `synthetically_generated_instruction`, which is the context of the full task. This field is available by request.
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**Step Generation and Aggregation**
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preview_tool.png
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Git LFS Details
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