Improve dataset card: Add metadata, paper/code links, and sample usage

This pull request significantly enhances the dataset card for the AIxCC Challenge Benchmark (C Challenges) by:
- Adding `task_categories` (text-classification, text-generation) and `tags` (vulnerability-detection, patching, cybersecurity, llm, benchmark, aixcc, c-language) to the metadata for improved discoverability.
- Specifying the `language` as `en` in the metadata.
- Including a prominent link to the Hugging Face paper page at the top of the card.
- Adding a prominent link to the associated GitHub repository at the top of the card.
- Incorporating a detailed "Sample Usage" section with code snippets directly from the GitHub README, demonstrating how to test the Cyber Reasoning System (CRS) that utilizes this benchmark.
- Updating the "Reference Implementation" section to remove the redundant GitHub link, while retaining the arXiv paper link as per guidelines.
- The license statement in the content remains unchanged, as a specific machine-readable license identifier for the dataset was not provided.

README.md

@@ -1,18 +1,64 @@
+---
+task_categories:
+- text-classification
+- text-generation
+language:
+- en
+tags:
+- vulnerability-detection
+- patching
+- cybersecurity
+- llm
+- benchmark
+- aixcc
+- c-language
+---
+
 # 🧠 AIXCC Challenge Benchmark – C Challenges
 
+Paper: [All You Need Is A Fuzzing Brain: An LLM-Powered System for Automated Vulnerability Detection and Patching](https://huggingface.co/papers/2509.07225)
+Code: https://github.com/o2lab/afc-crs-all-you-need-is-a-fuzzing-brain
+
 ## 📌 Overview
 
-**AIXCC Challenge Benchmark (C Challenges)** is a curated subset of the full AIXCC Challenge Benchmark focused solely on C-based challenges.
+**AIXCC Challenge Benchmark (C Challenges)** is a curated subset of the full AIxCC Challenge Benchmark focused solely on C-based challenges.
 
-This benchmark is built upon the [official AIXCC Challenge](https://aicyberchallenge.com/). Each C challenge consists of either a **delta** (focused diff) or **full** (whole project) test case.
+This benchmark is built upon the [official AIxCC Challenge](https://aicyberchallenge.com/). Each C challenge consists of either a **delta** (focused diff) or **full** (whole project) test case.
 
 ## 📎 Reference Implementation
 
-This benchmark is designed to work with our open-source CRS system: https://github.com/o2lab/afc-crs-all-you-need-is-a-fuzzing-brain
+This benchmark is designed to work with our open-source CRS system.
 
 For technical details, see our paper: https://arxiv.org/abs/2509.07225
 
-## 📄  License
+## ✨ Sample Usage
+
+The following snippets from the [GitHub repository](https://github.com/o2lab/afc-crs-all-you-need-is-a-fuzzing-brain) demonstrate how to test the Cyber Reasoning System (CRS) with challenges, which utilize this benchmark data.
+
+### Testing
+Go to `path/to/generate-challenge-task`
 
-This dataset builds on the official AIXCC Challenge. Please adhere to its license and usage policies.
+Test full-scan:
+```bash
+./generate-challenge-task.sh -c http://localhost:7080 -t "https://github.com/aixcc-finals/example-libpng" -b 2c894c66108f0724331a9e5b4826e351bf2d094 -x
+```
+Test delta-scan:
+```bash
+./generate-challenge-task.sh -c http://localhost:7080 -t "https://github.com/aixcc-finals/example-libpng" -b 0cc367aaeaac3f888f255cee5d394968996f736e -r 2c894c66108f0724331a9e5b4826e351bf2d094b -x
+```
+
+### curl scripts
+
+full-scan:
+```bash
+curl -s -X POST "http://localhost:8080/v1/task/" -H "Content-Type: application/json"         --user "api_key_id":"api_key_token" -d '{"message_id":"7281a673-6358-4eca-8ea0-ffaacc707c39","message_time":1736875979000,"tasks":[{"task_id":"c7393d78-cc0b-435a-8c7d-d4191a28f65c","type":"full","deadline":1736890379000,"source":[{"type":"repo","url":"https://aixcctfstate123.blob.core.windows.net/tfstate/f13a57efa5b068a2ff3ccae607464facd157e56aa81a252c99dab083ec810113.tar.gz?se=2025-01-14T21%3A32%3A57Z&sp=r&sv=2022-11-02&sr=b&sig=KtiEV2LuIedBSznkSZO6GVp3dFvDh%2BLq4OneBzE97Tg%3D","sha256":"f13a57efa5b068a2ff3ccae607464facd157e56aa81a252c99dab083ec810113"},{"type":"fuzz-tooling","url":"https://aixcctfstate123.blob.core.windows.net/tfstate/201eea48d1767e92f7cc80926676096372b1b0af44ee06dedc1691e94dc102db.tar.gz?se=2025-01-14T21%3A32%3A59Z&sp=r&sv=2022-11-02&sr=b&sig=LR%2FP8PIQvo1BC1nVCMrZvIiB3FwOCR5hIp58Tn71J1Y%3D","sha256":"201eea48d1767e92f7cc80926676096372b1b0af44ee06dedc1691e94dc102db"}]}]}'
+```
+
+delta-scan:
+```bash
+curl -s -X POST "http://localhost:8080/v1/task/" -H "Content-Type: application/json"         --user "api_key_id":"api_key_token" -d '{"message_id":"0d2ab7cd-766c-49f2-86f6-926fbdb96546","message_time":1736889189000,"tasks":[{"task_id":"42910c67-5aa6-4b36-b3d8-d2af94915784","type":"delta","deadline":1736903589000,"source":[{"type":"repo","url":"https://aixcctfstate123.blob.core.windows.net/tfstate/6506009e5f2cbfbc876c93f3ea9536812a16aa7dbb0326c6e86dcca891347840.tar.gz?se=2025-01-15T01%3A13%3A06Z&sp=r&sv=2022-11-02&sr=b&sig=GF3HvYKMrjd2s%2F%2B2gz8JxQP7J7UGG0mDG7NrCApN2E8%3D","sha256":"6506009e5f2cbfbc876c93f3ea9536812a16aa7dbb0326c6e86dcca891347840"},{"type":"fuzz-tooling","url":"https://aixcctfstate123.blob.core.windows.net/tfstate/b2eb56760411cd47bca531bb914769fc9545244041d85e7cb6af14c7f074e9ca.tar.gz?se=2025-01-15T01%3A13%3A08Z&sp=r&sv=2022-11-02&sr=b&sig=C3jwhDwK%2Bl%2BSlk%2BTWIHp3%2Bvf8byi6IacXKIB85%2Bvfko%3D","sha256":"b2eb56760411cd47bca531bb914769fc9545244041d85e7cb6af14c7f074e9ca"},{"type":"diff","url":"https://aixcctfstate123.blob.core.windows.net/tfstate/8f30a73bee0d410fe2b3046e2a108f2790888d125e0eb80f0eacf2bf4d9e4273.tar.gz?se=2025-01-15T01%3A13%3A05Z&sp=r&sv=2022-11-02&sr=b&sig=W4QoREUh63aa7yVyZwJpEJantp8oO0nkyjB74rJulWk%3D","sha256":"8f30a73bee0d410fe2b3046e2a108f2790888d125e0eb80f0eacf2bf4d9e4273"}]}]}'
+```
+
+## 📄  License
 
+This dataset builds on the official AIxCC Challenge. Please adhere to its license and usage policies.