Datasets:
Tasks:
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Modalities:
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Formats:
parquet
Languages:
multilingual
Size:
1B - 10B
ArXiv:
License:
Update README.md
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README.md
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[Paper](https://huggingface.co/papers/2511.16397) | [Project page](https://opendatalab.com/ai-ready/AICC)
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<img src="./images/
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## News
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- **[2025-12-12]** 🔥 **CC-MinerU-Formula Released!** Beyond the general AICC corpus, we have launched the first part of our specialized high-quality data: the fine-grained web formula dataset **CC-MinerU-Formula**. This data is intelligently parsed and precisely extracted from full Common Crawl raw web structures using our self-developed **MinerU-HTML** semantic-aware HTML extraction engine. Compared to traditional heuristic extraction methods, MinerU-HTML comprehends HTML semantics and effectively preserves the original structural information of formulas, making this structured content highly suitable for Large Language Model scenarios such as mathematical understanding, reasoning, and fine-tuning.
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<br>We have collected 975,155 cross-disciplinary formula samples, covering mathematics, physics, chemistry, and engineering. Here is a sample.
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<br><img src="images/formula_sample.png" width="1500" />
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[Paper](https://huggingface.co/papers/2511.16397) | [Project page](https://opendatalab.com/ai-ready/AICC)
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<img src="./images/AICC_christmas_LOGO.png" width="600" />
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## News
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- **[2025-12-24]** 🔥 **CC-MinerU-Code Updated!** We have updated our specialized high-quality code dataset **CC-MinerU-Code**, containing **5.66M** samples, also extracted from the full Common Crawl corpus.
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<br>Download: uploading🚀
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<br>Each record includes `language`, `code_language`, and Markdown-formatted `content` with fenced code blocks. Here is a sample:
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```json
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{
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"track_id": "30ffb0a6-312f-4151-a7b4-148b4e9dea9d",
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"url": "https://lightless.me/archives/61.html",
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"language": "zh",
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"code_language": "java",
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"content": "# Handler消息传递机制\n\nAndroid 平台不允许Activity启动的新线程访问该Activity中的界面组件,这样新启动的线程就无法改变界面组件的属性值。在这种情况下需要借助Handler消息传递机制来实现。\n\nHandler类的作用:\n\n- 在新启动的线程中发送消息\n- 在主线程中获取消息,处理消息\n\n为了让主线程能够在合适的时间获取的新线程发来的消息,只能通过回调的机制来实现,我们需要重写Handler类中处理消息的方法,当新启动的线程发送消息时,Handler类中处理消息的方法被自动回调。\n\nHandler类中包含的的常用方法主要有以下几个\n `void handleMessage(Message msg)` :处理消息的方法,通常被重写\n `final boolean hasMessages(int what)` :检查消息队列中,是否包含what属性指定的消息\n `final boolean hasMessages(int what, Object object)` :检查消息队列中,是否包含what属性和object属性指定值的消息\n `Message obtainMessage()` :该函数具有多个重载,用于获取消息\n `sendEmptyMessage(int what)` :立即发送空消息\n `final boolean sendEmptyMessageDelayed(int what, long delayMills)` :指定delayMills毫秒后发送空消息\n `final boolean sendMessage(Message msg)` :立即发送消息\n `final boolean sendMessageDelayed(Message msg, long delayMills)` :指定多少毫秒后发送消息\n\n```java\npackage me.lightless.handletest;\n\nimport android.app.Activity;\nimport android.os.Bundle;\nimport android.os.Message;\nimport android.os.Handler;\nimport android.view.Menu;\nimport android.view.MenuItem;\nimport android.widget.ImageView;\n\nimport java.util.Timer;\nimport java.util.TimerTask;\n//import java.util.logging.Handler;\nimport java.util.logging.LogRecord;\n\n\npublic class MyActivity extends Activity {\n\n int[] imageIds = new int[] {\n R.drawable.ajax,\n R.drawable.classic,\n R.drawable.ee,\n R.drawable.ic_launcher,\n R.drawable.java,\n R.drawable.xml\n };\n int currentImageId = 0;\n\n @Override\n protected void onCreate(Bundle savedInstanceState) {\n super.onCreate(savedInstanceState);\n setContentView(R.layout.activity_my);\n\n // Get ImageView\n final ImageView show = (ImageView)findViewById(R.id.show);\n\n final Handler myHandler = new Handler() {\n @Override\n public void handleMessage(Message msg) {\n if (msg.what == 0x1233) {\n show.setImageResource(imageIds[currentImageId++]);\n if (currentImageId >= 5) {\n currentImageId = 0;\n }\n }\n }\n };\n\n // Set a timer to execute sth\n new Timer().schedule(new TimerTask() {\n @Override\n public void run() {\n Message msg = new Message();\n msg.what = 0x1233;\n myHandler.sendMessage(msg);\n }\n }, 0, 800)\n;\n }\n\n\n @Override\n public boolean onCreateOptionsMenu(Menu menu) {\n // Inflate the menu; this adds items to the action bar if it is present.\n getMenuInflater().inflate(R.menu.my, menu);\n return true;\n }\n\n @Override\n public boolean onOptionsItemSelected(MenuItem item) {\n // Handle action bar item clicks here. The action bar will\n // automatically handle clicks on the Home/Up button, so long\n // as you specify a parent activity in AndroidManifest.xml.\n int id = item.getItemId();\n if (id == R.id.action_settings) {\n return true;\n }\n return super.onOptionsItemSelected(item);\n }\n}\n```\n",
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"extract_method": "MinerU-HTML",
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"sub_path": "Code"
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}
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```
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- **[2025-12-12]** 🔥 **CC-MinerU-Formula Released!** Beyond the general AICC corpus, we have launched the first part of our specialized high-quality data: the fine-grained web formula dataset **CC-MinerU-Formula**. This data is intelligently parsed and precisely extracted from full Common Crawl raw web structures using our self-developed **MinerU-HTML** semantic-aware HTML extraction engine. Compared to traditional heuristic extraction methods, MinerU-HTML comprehends HTML semantics and effectively preserves the original structural information of formulas, making this structured content highly suitable for Large Language Model scenarios such as mathematical understanding, reasoning, and fine-tuning.
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<br>Download: [CC-MinerU-Formula on Hugging Face](https://huggingface.co/datasets/opendatalab/AICC/tree/main/CC-MinerU-Formula)
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<br>We have collected 975,155 cross-disciplinary formula samples, covering mathematics, physics, chemistry, and engineering. Here is a sample.
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<br><img src="images/formula_sample.png" width="1500" />
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