Improve dataset card: Add task categories, language, paper, project page, and code links

This PR improves the dataset card for DAComp by:
- Adding `code-generation`, `text-generation`, and `text-to-sql` to the `task_categories` metadata to better reflect the dataset's purpose.
- Adding `language: en` to the metadata.
- Providing an introductory description of the dataset.
- Adding direct links to the paper on Hugging Face (https://huggingface.co/papers/2512.04324), the project page (https://da-comp.github.io/), and the GitHub repository (https://github.com/anonymous/DAComp).

Note: The provided GitHub repository URL `https://github.com/anonymous/DAComp` currently returns a 404 error. This link is included as it is referenced in the paper's abstract and the project page.

README.md

@@ -1,16 +1,24 @@
 ---
 license: mit
+size_categories:
+- 1B<n<10B
 tags:
 - code
 - SQL
-size_categories:
-- 1B<n<10B
+language:
+- en
+task_categories:
+- text-generation
+- code-generation
+- text-to-sql
 ---
 
-
 # DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
 
+This repository contains the DAComp benchmark dataset, presented in the paper [DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle](https://huggingface.co/papers/2512.04324). DAComp offers a comprehensive benchmark of 210 tasks that simulate real-world enterprise data intelligence workflows, covering both data engineering (designing and building SQL pipelines) and data analysis (exploratory coding, interpretation, and actionable recommendations).
 
+Project page: https://da-comp.github.io/
+Code: https://github.com/anonymous/DAComp
 
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