Update README.md

README.md

@@ -28,140 +28,74 @@ configs:
     path: test*
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-# Dataset Card for Dataset Name
+# Dataset Card for Pixel-Navigator
 
-<!-- Provide a quick summary of the dataset. -->
-
-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+Pixel-Navigator is a high-quality benchmark dataset for evaluating grounded navigation and localization capabilities of multimodal models and agents in web environments. It features 1,639 precisely annotated English-language web screenshots paired with natural-language instructions and pixel-level click targets.
 
 ## Dataset Details
 
 ### Dataset Description
 
-<!-- Provide a longer summary of what this dataset is. -->
-
-
+Pixel-Navigator is designed to measure and advance the ability of AI systems to understand web interfaces, interpret user instructions, and take accurate actions within digital environments. The dataset contains three distinct groups of web screenshots that capture a range of real-world navigation scenarios, from agent-based web retrieval to human tasks like online shopping and calendar management.
 
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
+A key strength of this evaluation set is its meticulous annotation: all bounding boxes correspond precisely to HTML element boundaries, ensuring rigorous evaluation of model performance. Each screenshot is paired with natural language instructions that simulate realistic navigation requests, requiring models to not only understand UI elements but also interpret contextual relationships between visual elements.
 
-### Dataset Sources [optional]
+- **Curated by:** H Company
+- **Language:** English
+- **License:** Apache 2.0
 
-<!-- Provide the basic links for the dataset. -->
+### Dataset Sources
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- **Repository:** [Hugging Face Repository URL]
+- **Paper:** [Coming soon]
 
 ## Uses
 
-<!-- Address questions around how the dataset is intended to be used. -->
-
 ### Direct Use
 
-<!-- This section describes suitable use cases for the dataset. -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
+This dataset is intended for benchmarking multimodal models on their ability to navigate web interfaces, evaluating AI agents' understanding of UI elements and their functions, and testing models' abilities to ground natural language instructions to specific interactive elements.
 
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
+## Dataset Structure
 
-[More Information Needed]
+The dataset contains 1,639 samples divided into three key groups:
 
-## Dataset Structure
+1. **`agentbrowse` (36%)**: Pages encountered by agents during web retrieval tasks on Web Voyager
+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
 
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+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
+- **`bucket`**: One of `agentbrowse`, `humanbrowse`, `calendars`: group this row belongs to
 
-[More Information Needed]
+The dataset includes several challenging scenarios:
+- Disambiguation between similar elements (e.g., "the login button in the middle")
+- 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
 
 ## Dataset Creation
 
 ### Curation Rationale
 
-<!-- Motivation for the creation of this dataset. -->
-
-[More Information Needed]
-
-### Source Data
-
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-
-#### Data Collection and Processing
-
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
-
-[More Information Needed]
-
-#### Who are the source data producers?
-
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
-
-[More Information Needed]
-
-### Annotations [optional]
-
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-
-#### Annotation process
-
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
-
-[More Information Needed]
+UI-Navigate focuses on realism by capturing authentic interactions: real actions undertaken by humans and real actions undertaken by agents. 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 evaluating on these difficult cases, H Company aims to unlock new capabilities in VLMs and agents, driving progress in the field through thoughtfully designed evaluation challenges.
 
-#### Who are the annotators?
+### Annotations
 
-<!-- This section describes the people or systems who created the annotations. -->
+Annotations were created by UI experts with specialized knowledge of web interfaces. Each screenshot was paired with a natural language instruction describing an intended action, with bounding boxes precisely matching HTML element boundaries. All labels were hand-written or hand-reviewed, focusing on intended actions rather than visual descriptions and emphasizing non-ambiguous intents. Screenshots were reviewed to minimize personal information, with any identifiable data removed or anonymized.
 
-[More Information Needed]
-
-#### Personal and Sensitive Information
-
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+## Citation
 
 **BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Dataset Card Authors [optional]
-
-[More Information Needed]
+```
+@dataset{hcompany2025uinavigate,
+  author = {H Company Research Team},
+  title = {Pixel-Navigator: A Benchmark Dataset for Web Navigation and Localization},
+  year = {2025},
+  publisher = {H Company},
+}
+```
 
 ## Dataset Card Contact
 
-[More Information Needed]
+research@hcompany.ai