Update README.md

README.md

@@ -59,18 +59,18 @@ This dataset is intended for benchmarking multimodal models on their ability to
 
 The dataset contains 1,639 samples divided into three key groups:
 
-1. **`agentbrowse` (36%)**: Pages encountered by agents during web retrieval tasks on Web Voyager
+1. **`agentbrowse` (36%)**: Pages encountered by the RunnerH agent while solving web retrieval tasks from [WebVoyager](https://arxiv.org/abs/2401.13919)
 2. **`humanbrowse` (31.8%)**: Pages and elements interacted with by humans performing everyday tasks (e-shopping, trip planning, personal organization)
 3. **`calendars` (32.2%)**: A specialized subset focusing on calendar interfaces, a known challenge for UI understanding models
 
 Each sample consists of:
 - **`image`**: A screenshot of a web page
 - **`instruction`**: A natural language instruction describing the desired action
-- **`bbox`**: Precise coordinates of the bounding box (relative to the image dimensions) that identify the correct click target
+- **`bbox`**: Coordinates of the bounding box (relative to the image dimensions) that identify the correct click target
 - **`bucket`**: One of `agentbrowse`, `humanbrowse`, `calendars`: group this row belongs to
 
 The dataset includes several challenging scenarios:
-- Disambiguation between similar elements (e.g., "the login button in the middle")
+- Disambiguation between similar elements (e.g., "the login button in the middle", “the login button in the top-right”)
 - Cases where OCR is insufficient because the visible text isn't the interactive element
 - Navigation requiring understanding of relative spatial relationships between information and interaction points
 
@@ -78,10 +78,14 @@ The dataset includes several challenging scenarios:
 
 ### Curation Rationale
 
-Pixel Navigator focuses on realism by capturing authentic interactions: real actions undertaken by humans and real actions undertaken by agents. 
+Pixel Navigator focuses on realism by capturing authentic interactions: actions taken by humans and agents.
 The records of Pixel Navigator are English-language, desktop-size screenshots of websites. Each record points to an element outlined by a rectangular bounding box and an intent corresponding to it. In particular, the dataset focuses on providing bounding boxes and intents that are not ambiguous, thus increasing the trustworthiness of the evaluation of a VLM on this data. 
-This focus on genuine interaction patterns makes our benchmark a superior evaluation tool that will move the needle for agent development. The calendar segment specifically targets known failure points in current systems, demonstrating H Company's commitment to creating targeted benchmarks around challenging areas. 
-By identifying and focusing on these difficult cases, H Company aims to unlock new capabilities in VLMs and agents, driving progress in the field through carefully designed evaluation challenges.
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+The calendar segment specifically targets known failure points in current systems, demonstrating H Company's commitment to creating targeted benchmarks around challenging areas. 
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+With this new benchmark, H Company aims to unlock new capabilities in VLMs, and stimulate the progress of web agents.
+
 
 ### Annotations
 
@@ -104,3 +108,5 @@ All labels were hand-written or hand-reviewed. Intents were rewritten when neede
 
 [email protected]
 
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